From a6b228350ed84930ebef002a0ec5179d3359cb23 Mon Sep 17 00:00:00 2001
From: SDKAuto <sdkautomation@microsoft.com>
Date: Tue, 5 Nov 2024 04:05:38 +0000
Subject: [PATCH] CodeGen from PR 3558 in test-repo-billy/azure-rest-api-specs
 Merge ce424db77e47cedea9e19d1435050f020b7e64d8 into
 7b5d4fa50d1365f0e981b995c60da3ac591c6bba

---
 ...zure.AI.Language.Authoring.Analyzetext.sln |   56 +
 .../CHANGELOG.md                              |   11 +
 .../Directory.Build.props                     |    6 +
 .../README.md                                 |  107 +
 ...e.AI.Language.Authoring.Analyzetext.csproj |   20 +
 ...oringAnalyzetextClientBuilderExtensions.cs |   52 +
 ...anguageAuthoringAnalyzetextModelFactory.cs | 1362 ++++
 .../src/Generated/AnalyzetextClient.cs        |  115 +
 .../src/Generated/AnalyzetextClientOptions.cs |   43 +
 .../Generated/Docs/TextAnalysisAuthoring.xml  | 5717 ++++++++++++++
 .../src/Generated/Internal/Argument.cs        |  129 +
 .../Internal/ChangeTrackingDictionary.cs      |  167 +
 .../Generated/Internal/ChangeTrackingList.cs  |  153 +
 .../Internal/ModelSerializationExtensions.cs  |  398 +
 .../src/Generated/Internal/Optional.cs        |   51 +
 .../Internal/Utf8JsonRequestContent.cs        |   55 +
 ...DeploymentResourcesConfig.Serialization.cs |  145 +
 .../Models/AssignDeploymentResourcesConfig.cs |   76 +
 ...ssignedDeploymentResource.Serialization.cs |  143 +
 .../Models/AssignedDeploymentResource.cs      |   82 +
 ...ProjectDeploymentMetadata.Serialization.cs |  151 +
 .../AssignedProjectDeploymentMetadata.cs      |   87 +
 ...rojectDeploymentsMetadata.Serialization.cs |  153 +
 .../AssignedProjectDeploymentsMetadata.cs     |   83 +
 .../Generated/Models/CompositionSetting.cs    |   57 +
 .../Models/ConfusionMatrix.Serialization.cs   |  121 +
 .../src/Generated/Models/ConfusionMatrix.cs   |   69 +
 .../ConfusionMatrixCell.Serialization.cs      |  143 +
 .../Generated/Models/ConfusionMatrixCell.cs   |   78 +
 .../ConfusionMatrixRow.Serialization.cs       |  121 +
 .../Generated/Models/ConfusionMatrixRow.cs    |   69 +
 ...ojectAuthorizationRequest.Serialization.cs |  161 +
 .../Models/CopyProjectAuthorizationRequest.cs |   86 +
 .../Models/CopyProjectConfig.Serialization.cs |  182 +
 .../src/Generated/Models/CopyProjectConfig.cs |  111 +
 .../CreateDeploymentConfig.Serialization.cs   |  160 +
 .../Models/CreateDeploymentConfig.cs          |   88 +
 .../CreateProjectConfig.Serialization.cs      |  208 +
 .../Generated/Models/CreateProjectConfig.cs   |  116 +
 ...nDocumentEvaluationResult.Serialization.cs |  159 +
 ...tityRecognitionDocumentEvaluationResult.cs |   61 +
 ...ognitionEvaluationSummary.Serialization.cs |  151 +
 ...ustomEntityRecognitionEvaluationSummary.cs |   47 +
 ...eDocumentEvaluationResult.Serialization.cs |  159 +
 ...ustomHealthcareDocumentEvaluationResult.cs |   61 +
 ...althcareEvaluationSummary.Serialization.cs |  151 +
 .../CustomHealthcareEvaluationSummary.cs      |   47 +
 ...nDocumentEvaluationResult.Serialization.cs |  159 +
 ...lClassificationDocumentEvaluationResult.cs |   61 +
 ...ficationEvaluationSummary.Serialization.cs |  151 +
 ...ltiLabelClassificationEvaluationSummary.cs |   50 +
 ...nDocumentEvaluationResult.Serialization.cs |  159 +
 ...lClassificationDocumentEvaluationResult.cs |   61 +
 ...ficationEvaluationSummary.Serialization.cs |  151 +
 ...gleLabelClassificationEvaluationSummary.cs |   50 +
 ...tDocumentEvaluationResult.Serialization.cs |  159 +
 ...omTextSentimentDocumentEvaluationResult.cs |   58 +
 ...entimentEvaluationSummary.Serialization.cs |  151 +
 .../CustomTextSentimentEvaluationSummary.cs   |   47 +
 ...aGenerationConnectionInfo.Serialization.cs |  151 +
 .../Models/DataGenerationConnectionInfo.cs    |   87 +
 .../DataGenerationConnectionInfoKind.cs       |   48 +
 .../DataGenerationSettings.Serialization.cs   |  143 +
 .../Models/DataGenerationSettings.cs          |   81 +
 .../DeleteDeploymentConfig.Serialization.cs   |  152 +
 .../Models/DeleteDeploymentConfig.cs          |   78 +
 .../DeploymentResource.Serialization.cs       |  143 +
 .../Generated/Models/DeploymentResource.cs    |   82 +
 ...tityLabelEvaluationResult.Serialization.cs |  151 +
 .../DocumentEntityLabelEvaluationResult.cs    |   87 +
 ...cognitionEvaluationResult.Serialization.cs |  145 +
 ...cumentEntityRecognitionEvaluationResult.cs |   76 +
 ...ityRegionEvaluationResult.Serialization.cs |  179 +
 .../DocumentEntityRegionEvaluationResult.cs   |   98 +
 .../DocumentEvaluationResult.Serialization.cs |  134 +
 .../Models/DocumentEvaluationResult.cs        |  102 +
 ...ealthcareEvaluationResult.Serialization.cs |  145 +
 .../DocumentHealthcareEvaluationResult.cs     |   76 +
 ...ificationEvaluationResult.Serialization.cs |  163 +
 ...ultiLabelClassificationEvaluationResult.cs |   86 +
 ...mentLabelEvaluationResult.Serialization.cs |  151 +
 .../DocumentSentimentLabelEvaluationResult.cs |   84 +
 ...ificationEvaluationResult.Serialization.cs |  143 +
 ...ngleLabelClassificationEvaluationResult.cs |   85 +
 ...SentimentEvaluationResult.Serialization.cs |  163 +
 .../DocumentTextSentimentEvaluationResult.cs  |   86 +
 .../EntityEvaluationSummary.Serialization.cs  |  191 +
 .../Models/EntityEvaluationSummary.cs         |  108 +
 ...ognitionEvaluationSummary.Serialization.cs |  211 +
 .../EntityRecognitionEvaluationSummary.cs     |  166 +
 .../src/Generated/Models/ErrorCode.cs         |   99 +
 .../Models/EvaluationConfig.Serialization.cs  |  172 +
 .../src/Generated/Models/EvaluationConfig.cs  |   91 +
 .../EvaluationJobResult.Serialization.cs      |  159 +
 .../Generated/Models/EvaluationJobResult.cs   |   95 +
 .../src/Generated/Models/EvaluationKind.cs    |   54 +
 .../Models/EvaluationSummary.Serialization.cs |  132 +
 .../src/Generated/Models/EvaluationSummary.cs |   83 +
 .../Models/ExportedClass.Serialization.cs     |  138 +
 .../src/Generated/Models/ExportedClass.cs     |   65 +
 .../ExportedCompositeEntity.Serialization.cs  |  193 +
 .../Models/ExportedCompositeEntity.cs         |   78 +
 ...tiveSummarizationDocument.Serialization.cs |  168 +
 ...dCustomAbstractiveSummarizationDocument.cs |  104 +
 ...ummarizationProjectAssets.Serialization.cs |  160 +
 ...omAbstractiveSummarizationProjectAssets.cs |   35 +
 ...EntityRecognitionDocument.Serialization.cs |  185 +
 ...ExportedCustomEntityRecognitionDocument.cs |   86 +
 ...yRecognitionProjectAssets.Serialization.cs |  185 +
 ...tedCustomEntityRecognitionProjectAssets.cs |   40 +
 ...dCustomHealthcareDocument.Serialization.cs |  185 +
 .../ExportedCustomHealthcareDocument.cs       |   86 +
 ...omHealthcareProjectAssets.Serialization.cs |  185 +
 .../ExportedCustomHealthcareProjectAssets.cs  |   40 +
 ...belClassificationDocument.Serialization.cs |  185 +
 ...dCustomMultiLabelClassificationDocument.cs |   86 +
 ...assificationProjectAssets.Serialization.cs |  185 +
 ...omMultiLabelClassificationProjectAssets.cs |   40 +
 ...belClassificationDocument.Serialization.cs |  175 +
 ...CustomSingleLabelClassificationDocument.cs |   88 +
 ...assificationProjectAssets.Serialization.cs |  185 +
 ...mSingleLabelClassificationProjectAssets.cs |   40 +
 ...stomTextSentimentDocument.Serialization.cs |  185 +
 .../ExportedCustomTextSentimentDocument.cs    |   86 +
 ...extSentimentProjectAssets.Serialization.cs |  160 +
 ...xportedCustomTextSentimentProjectAssets.cs |   35 +
 .../ExportedDocumentClass.Serialization.cs    |  138 +
 .../Generated/Models/ExportedDocumentClass.cs |   65 +
 ...portedDocumentEntityLabel.Serialization.cs |  168 +
 .../Models/ExportedDocumentEntityLabel.cs     |   73 +
 ...ortedDocumentEntityRegion.Serialization.cs |  182 +
 .../Models/ExportedDocumentEntityRegion.cs    |   74 +
 ...tedDocumentSentimentLabel.Serialization.cs |  172 +
 .../Models/ExportedDocumentSentimentLabel.cs  |   73 +
 .../Models/ExportedEntity.Serialization.cs    |  149 +
 .../src/Generated/Models/ExportedEntity.cs    |   69 +
 .../ExportedEntityList.Serialization.cs       |  152 +
 .../Generated/Models/ExportedEntityList.cs    |   66 +
 ...ExportedEntityListSynonym.Serialization.cs |  163 +
 .../Models/ExportedEntityListSynonym.cs       |   78 +
 .../ExportedEntitySublist.Serialization.cs    |  163 +
 .../Generated/Models/ExportedEntitySublist.cs |   70 +
 .../ExportedModelConfig.Serialization.cs      |  135 +
 .../Generated/Models/ExportedModelConfig.cs   |   75 +
 .../ExportedModelManifest.Serialization.cs    |  145 +
 .../Generated/Models/ExportedModelManifest.cs |   76 +
 .../ExportedPrebuiltEntity.Serialization.cs   |  135 +
 .../Models/ExportedPrebuiltEntity.cs          |   75 +
 .../Models/ExportedProject.Serialization.cs   |  166 +
 .../src/Generated/Models/ExportedProject.cs   |  109 +
 .../ExportedProjectAssets.Serialization.cs    |  131 +
 .../Generated/Models/ExportedProjectAssets.cs |   69 +
 .../ExportedTrainedModel.Serialization.cs     |  182 +
 .../Generated/Models/ExportedTrainedModel.cs  |  107 +
 ...ntResourcesStatusResponse.Serialization.cs |  223 +
 ...AssignDeploymentResourcesStatusResponse.cs |   98 +
 ...CopyProjectStatusResponse.Serialization.cs |  223 +
 .../Models/GetCopyProjectStatusResponse.cs    |   98 +
 ...omResourcesStatusResponse.Serialization.cs |  223 +
 ...oymentDeleteFromResourcesStatusResponse.cs |   98 +
 .../GetDeploymentResponse.Serialization.cs    |  192 +
 .../Generated/Models/GetDeploymentResponse.cs |  108 +
 ...tDeploymentStatusResponse.Serialization.cs |  223 +
 .../Models/GetDeploymentStatusResponse.cs     |   98 +
 ...tEvaluationStatusResponse.Serialization.cs |  232 +
 .../Models/GetEvaluationStatusResponse.cs     |  107 +
 .../GetExportStatusResponse.Serialization.cs  |  235 +
 .../Models/GetExportStatusResponse.cs         |  102 +
 ...tedModelJobStatusResponse.Serialization.cs |  223 +
 .../GetExportedModelJobStatusResponse.cs      |   98 +
 .../GetExportedModelResponse.Serialization.cs |  173 +
 .../Models/GetExportedModelResponse.cs        |  100 +
 .../GetImportStatusResponse.Serialization.cs  |  223 +
 .../Models/GetImportStatusResponse.cs         |   98 +
 ...oadSnapshotStatusResponse.Serialization.cs |  223 +
 .../Models/GetLoadSnapshotStatusResponse.cs   |   98 +
 ...ectDeletionStatusResponse.Serialization.cs |  223 +
 .../GetProjectDeletionStatusResponse.cs       |   98 +
 .../GetProjectResponse.Serialization.cs       |  249 +
 .../Generated/Models/GetProjectResponse.cs    |  129 +
 ...DeploymentsStatusResponse.Serialization.cs |  223 +
 .../GetSwapDeploymentsStatusResponse.cs       |   98 +
 .../GetTrainedModelResponse.Serialization.cs  |  182 +
 .../Models/GetTrainedModelResponse.cs         |  106 +
 ...GetTrainingStatusResponse.Serialization.cs |  232 +
 .../Models/GetTrainingStatusResponse.cs       |  107 +
 ...ntResourcesStatusResponse.Serialization.cs |  223 +
 ...assignDeploymentResourcesStatusResponse.cs |   98 +
 .../src/Generated/Models/InnerErrorCode.cs    |   87 +
 .../Models/InnerErrorModel.Serialization.cs   |  201 +
 .../src/Generated/Models/InnerErrorModel.cs   |  104 +
 .../src/Generated/Models/JobStatus.cs         |   66 +
 .../Models/ModelFile.Serialization.cs         |  143 +
 .../src/Generated/Models/ModelFile.cs         |   82 +
 ...belClassEvaluationSummary.Serialization.cs |  191 +
 .../MultiLabelClassEvaluationSummary.cs       |  111 +
 ...ficationEvaluationSummary.Serialization.cs |  202 +
 ...ltiLabelClassificationEvaluationSummary.cs |  147 +
 .../Models/PrebuiltEntity.Serialization.cs    |  151 +
 .../src/Generated/Models/PrebuiltEntity.cs    |   89 +
 .../Models/ProjectDeployment.Serialization.cs |  201 +
 .../src/Generated/Models/ProjectDeployment.cs |  115 +
 .../src/Generated/Models/ProjectKind.cs       |   83 +
 .../Models/ProjectMetadata.Serialization.cs   |  258 +
 .../src/Generated/Models/ProjectMetadata.cs   |  136 +
 .../Models/ProjectSettings.Serialization.cs   |  204 +
 .../src/Generated/Models/ProjectSettings.cs   |   89 +
 .../ProjectTrainedModel.Serialization.cs      |  191 +
 .../Generated/Models/ProjectTrainedModel.cs   |  113 +
 .../Models/ResourceMetadata.Serialization.cs  |  151 +
 .../src/Generated/Models/ResourceMetadata.cs  |   89 +
 ...entimentEvaluationSummary.Serialization.cs |  191 +
 .../Models/SentimentEvaluationSummary.cs      |  108 +
 ...belClassEvaluationSummary.Serialization.cs |  191 +
 .../SingleLabelClassEvaluationSummary.cs      |  111 +
 ...ficationEvaluationSummary.Serialization.cs |  211 +
 ...gleLabelClassificationEvaluationSummary.cs |  169 +
 ...entimentEvaluationSummary.Serialization.cs |  211 +
 .../Models/SpanSentimentEvaluationSummary.cs  |  166 +
 .../src/Generated/Models/StringIndexType.cs   |   52 +
 .../SubTrainingJobState.Serialization.cs      |  173 +
 .../Generated/Models/SubTrainingJobState.cs   |   86 +
 .../Models/SupportedLanguage.Serialization.cs |  143 +
 .../src/Generated/Models/SupportedLanguage.cs |   91 +
 .../SwapDeploymentsConfig.Serialization.cs    |  143 +
 .../Generated/Models/SwapDeploymentsConfig.cs |   82 +
 ...extAnalysisAuthoringError.Serialization.cs |  200 +
 .../Models/TextAnalysisAuthoringError.cs      |  100 +
 .../Models/TextAnalysisAuthoringSentiment.cs  |   54 +
 ...tAnalysisAuthoringWarning.Serialization.cs |  143 +
 .../Models/TextAnalysisAuthoringWarning.cs    |   82 +
 ...entimentEvaluationSummary.Serialization.cs |  191 +
 .../Models/TextSentimentEvaluationSummary.cs  |  147 +
 .../TrainingConfigVersion.Serialization.cs    |  143 +
 .../Generated/Models/TrainingConfigVersion.cs |   81 +
 .../Models/TrainingJobConfig.Serialization.cs |  173 +
 .../src/Generated/Models/TrainingJobConfig.cs |   98 +
 .../Models/TrainingJobResult.Serialization.cs |  187 +
 .../src/Generated/Models/TrainingJobResult.cs |   97 +
 .../Models/TrainingJobState.Serialization.cs  |  241 +
 .../src/Generated/Models/TrainingJobState.cs  |  114 +
 ...DeploymentResourcesConfig.Serialization.cs |  145 +
 .../UnassignDeploymentResourcesConfig.cs      |   76 +
 ...nDocumentEvaluationResult.Serialization.cs |  151 +
 .../Models/UnknownDocumentEvaluationResult.cs |   34 +
 .../UnknownEvaluationSummary.Serialization.cs |  143 +
 .../Models/UnknownEvaluationSummary.cs        |   29 +
 ...nownExportedProjectAssets.Serialization.cs |  135 +
 .../Models/UnknownExportedProjectAssets.cs    |   28 +
 .../src/Generated/TextAnalysisAuthoring.cs    | 6850 +++++++++++++++++
 .../src/Properties/AssemblyInfo.cs            |   11 +
 ...anguage.Authoring.Analyzetext.Tests.csproj |   20 +
 .../Samples/Samples_TextAnalysisAuthoring.cs  | 6284 +++++++++++++++
 .../tsp-location.yaml                         |    4 +
 ...re.AI.Language.Authoring.Conversations.sln |   56 +
 .../CHANGELOG.md                              |   11 +
 .../Directory.Build.props                     |    6 +
 .../README.md                                 |  107 +
 ...AI.Language.Authoring.Conversations.csproj |   20 +
 ...ingConversationsClientBuilderExtensions.cs |   52 +
 ...guageAuthoringConversationsModelFactory.cs | 1111 +++
 .../ConversationalAnalysisAuthoring.cs        | 6775 ++++++++++++++++
 .../src/Generated/ConversationsClient.cs      |  115 +
 .../Generated/ConversationsClientOptions.cs   |   43 +
 .../Docs/ConversationalAnalysisAuthoring.xml  | 5847 ++++++++++++++
 .../src/Generated/Internal/Argument.cs        |  129 +
 .../Internal/ChangeTrackingDictionary.cs      |  167 +
 .../Generated/Internal/ChangeTrackingList.cs  |  153 +
 .../Internal/ModelSerializationExtensions.cs  |  398 +
 .../src/Generated/Internal/Optional.cs        |   51 +
 .../Internal/Utf8JsonRequestContent.cs        |   55 +
 ...DeploymentResourcesConfig.Serialization.cs |  145 +
 .../Models/AssignDeploymentResourcesConfig.cs |   76 +
 ...ssignedDeploymentResource.Serialization.cs |  143 +
 .../Models/AssignedDeploymentResource.cs      |   82 +
 ...ProjectDeploymentMetadata.Serialization.cs |  151 +
 .../AssignedProjectDeploymentMetadata.cs      |   87 +
 ...rojectDeploymentsMetadata.Serialization.cs |  153 +
 .../AssignedProjectDeploymentsMetadata.cs     |   83 +
 ...sourceDeploymentsMetadata.Serialization.cs |  156 +
 .../AssignedResourceDeploymentsMetadata.cs    |   80 +
 ...thoringConversationsError.Serialization.cs |  200 +
 .../Models/AuthoringConversationsError.cs     |  100 +
 ...oringConversationsWarning.Serialization.cs |  143 +
 .../Models/AuthoringConversationsWarning.cs   |   82 +
 .../Generated/Models/CompositionSetting.cs    |   70 +
 .../Models/ConfusionMatrix.Serialization.cs   |  121 +
 .../src/Generated/Models/ConfusionMatrix.cs   |   69 +
 .../ConfusionMatrixCell.Serialization.cs      |  143 +
 .../Generated/Models/ConfusionMatrixCell.cs   |   78 +
 .../ConfusionMatrixRow.Serialization.cs       |  121 +
 .../Generated/Models/ConfusionMatrixRow.cs    |   69 +
 ...onversationExportedEntity.Serialization.cs |  237 +
 .../Models/ConversationExportedEntity.cs      |   97 +
 ...onversationExportedIntent.Serialization.cs |  135 +
 .../Models/ConversationExportedIntent.cs      |   75 +
 ...tionExportedProjectAssets.Serialization.cs |  210 +
 .../ConversationExportedProjectAssets.cs      |   45 +
 ...ersationExportedUtterance.Serialization.cs |  196 +
 .../Models/ConversationExportedUtterance.cs   |  103 +
 ...ojectAuthorizationRequest.Serialization.cs |  161 +
 .../Models/CopyProjectAuthorizationRequest.cs |   80 +
 .../Models/CopyProjectConfig.Serialization.cs |  182 +
 .../src/Generated/Models/CopyProjectConfig.cs |  111 +
 .../CreateDeploymentConfig.Serialization.cs   |  160 +
 .../Models/CreateDeploymentConfig.cs          |   88 +
 .../CreateProjectConfig.Serialization.cs      |  211 +
 .../Generated/Models/CreateProjectConfig.cs   |  104 +
 .../DeleteDeploymentConfig.Serialization.cs   |  152 +
 .../Models/DeleteDeploymentConfig.cs          |   78 +
 .../DeploymentResource.Serialization.cs       |  143 +
 .../Generated/Models/DeploymentResource.cs    |   82 +
 ...EntitiesEvaluationSummary.Serialization.cs |  211 +
 .../Models/EntitiesEvaluationSummary.cs       |  166 +
 .../EntityEvaluationSummary.Serialization.cs  |  191 +
 .../Models/EntityEvaluationSummary.cs         |  108 +
 .../src/Generated/Models/ErrorCode.cs         |   99 +
 .../Models/EvaluationConfig.Serialization.cs  |  172 +
 .../src/Generated/Models/EvaluationConfig.cs  |   91 +
 .../EvaluationJobResult.Serialization.cs      |  159 +
 .../Generated/Models/EvaluationJobResult.cs   |   95 +
 .../src/Generated/Models/EvaluationKind.cs    |   54 +
 .../Models/EvaluationSummary.Serialization.cs |  158 +
 .../src/Generated/Models/EvaluationSummary.cs |   86 +
 ...ConversationOrchestration.Serialization.cs |  143 +
 .../ExportedConversationOrchestration.cs      |   82 +
 ...sationOrchestrationConfig.Serialization.cs |  143 +
 ...ExportedConversationOrchestrationConfig.cs |   44 +
 .../ExportedEntityList.Serialization.cs       |  152 +
 .../Generated/Models/ExportedEntityList.cs    |   66 +
 ...ExportedEntityListSynonym.Serialization.cs |  163 +
 .../Models/ExportedEntityListSynonym.cs       |   78 +
 .../ExportedEntityRegex.Serialization.cs      |  152 +
 .../Generated/Models/ExportedEntityRegex.cs   |   74 +
 ...rtedEntityRegexExpression.Serialization.cs |  160 +
 .../Models/ExportedEntityRegexExpression.cs   |   85 +
 .../ExportedEntitySublist.Serialization.cs    |  163 +
 .../Generated/Models/ExportedEntitySublist.cs |   70 +
 ...ExportedLuisOrchestration.Serialization.cs |  157 +
 .../Models/ExportedLuisOrchestration.cs       |   80 +
 ...edLuisOrchestrationConfig.Serialization.cs |  143 +
 .../Models/ExportedLuisOrchestrationConfig.cs |   44 +
 .../ExportedModelConfig.Serialization.cs      |  135 +
 .../Generated/Models/ExportedModelConfig.cs   |   75 +
 ...portedOrchestrationConfig.Serialization.cs |  128 +
 .../Models/ExportedOrchestrationConfig.cs     |   69 +
 .../ExportedPrebuiltEntity.Serialization.cs   |  135 +
 .../Models/ExportedPrebuiltEntity.cs          |   75 +
 .../Models/ExportedProject.Serialization.cs   |  166 +
 .../src/Generated/Models/ExportedProject.cs   |  109 +
 .../ExportedProjectAssets.Serialization.cs    |  127 +
 .../Generated/Models/ExportedProjectAssets.cs |   69 +
 .../Generated/Models/ExportedProjectFormat.cs |   51 +
 ...ionAnsweringOrchestration.Serialization.cs |  135 +
 .../ExportedQuestionAnsweringOrchestration.cs |   75 +
 ...weringOrchestrationConfig.Serialization.cs |  143 +
 ...tedQuestionAnsweringOrchestrationConfig.cs |   44 +
 .../ExportedTrainedModel.Serialization.cs     |  182 +
 .../Generated/Models/ExportedTrainedModel.cs  |  107 +
 ...ortedUtteranceEntityLabel.Serialization.cs |  151 +
 .../Models/ExportedUtteranceEntityLabel.cs    |   87 +
 ...ntResourcesStatusResponse.Serialization.cs |  223 +
 ...AssignDeploymentResourcesStatusResponse.cs |   98 +
 ...CopyProjectStatusResponse.Serialization.cs |  223 +
 .../Models/GetCopyProjectStatusResponse.cs    |   98 +
 ...omResourcesStatusResponse.Serialization.cs |  223 +
 ...oymentDeleteFromResourcesStatusResponse.cs |   98 +
 .../GetDeploymentResponse.Serialization.cs    |  192 +
 .../Generated/Models/GetDeploymentResponse.cs |  108 +
 ...tDeploymentStatusResponse.Serialization.cs |  223 +
 .../Models/GetDeploymentStatusResponse.cs     |   98 +
 ...tEvaluationStatusResponse.Serialization.cs |  232 +
 .../Models/GetEvaluationStatusResponse.cs     |  107 +
 .../GetExportStatusResponse.Serialization.cs  |  235 +
 .../Models/GetExportStatusResponse.cs         |  102 +
 ...tedModelJobStatusResponse.Serialization.cs |  223 +
 .../GetExportedModelJobStatusResponse.cs      |   98 +
 .../GetExportedModelResponse.Serialization.cs |  173 +
 .../Models/GetExportedModelResponse.cs        |  100 +
 .../GetImportStatusResponse.Serialization.cs  |  223 +
 .../Models/GetImportStatusResponse.cs         |   98 +
 ...oadSnapshotStatusResponse.Serialization.cs |  223 +
 .../Models/GetLoadSnapshotStatusResponse.cs   |   98 +
 ...ectDeletionStatusResponse.Serialization.cs |  223 +
 .../GetProjectDeletionStatusResponse.cs       |   98 +
 ...DeploymentsStatusResponse.Serialization.cs |  223 +
 .../GetSwapDeploymentsStatusResponse.cs       |   98 +
 .../GetTrainedModelResponse.Serialization.cs  |  182 +
 .../Models/GetTrainedModelResponse.cs         |  106 +
 ...GetTrainingStatusResponse.Serialization.cs |  232 +
 .../Models/GetTrainingStatusResponse.cs       |  107 +
 ...ntResourcesStatusResponse.Serialization.cs |  223 +
 ...assignDeploymentResourcesStatusResponse.cs |   98 +
 .../src/Generated/Models/InnerErrorCode.cs    |   87 +
 .../Models/InnerErrorModel.Serialization.cs   |  201 +
 .../src/Generated/Models/InnerErrorModel.cs   |  104 +
 .../IntentEvaluationSummary.Serialization.cs  |  191 +
 .../Models/IntentEvaluationSummary.cs         |  108 +
 .../IntentsEvaluationSummary.Serialization.cs |  211 +
 .../Models/IntentsEvaluationSummary.cs        |  166 +
 .../src/Generated/Models/JobStatus.cs         |   66 +
 ...chestrationExportedIntent.Serialization.cs |  150 +
 .../Models/OrchestrationExportedIntent.cs     |   87 +
 ...tionExportedProjectAssets.Serialization.cs |  185 +
 .../OrchestrationExportedProjectAssets.cs     |   40 +
 ...strationExportedUtterance.Serialization.cs |  165 +
 .../Models/OrchestrationExportedUtterance.cs  |   98 +
 .../Models/OrchestrationTargetProjectKind.cs  |   54 +
 .../Models/PrebuiltEntities.Serialization.cs  |  156 +
 .../src/Generated/Models/PrebuiltEntities.cs  |   80 +
 .../Models/PrebuiltEntity.Serialization.cs    |  151 +
 .../src/Generated/Models/PrebuiltEntity.cs    |   89 +
 .../Models/ProjectDeployment.Serialization.cs |  201 +
 .../src/Generated/Models/ProjectDeployment.cs |  115 +
 .../src/Generated/Models/ProjectKind.cs       |   54 +
 .../Models/ProjectMetadata.Serialization.cs   |  261 +
 .../src/Generated/Models/ProjectMetadata.cs   |  124 +
 .../Models/ProjectSettings.Serialization.cs   |  135 +
 .../src/Generated/Models/ProjectSettings.cs   |   72 +
 .../ProjectTrainedModel.Serialization.cs      |  191 +
 .../Generated/Models/ProjectTrainedModel.cs   |  113 +
 .../Models/ResourceMetadata.Serialization.cs  |  151 +
 .../src/Generated/Models/ResourceMetadata.cs  |   89 +
 .../src/Generated/Models/StringIndexType.cs   |   52 +
 .../SubTrainingJobState.Serialization.cs      |  173 +
 .../Generated/Models/SubTrainingJobState.cs   |   86 +
 .../Models/SupportedLanguage.Serialization.cs |  143 +
 .../src/Generated/Models/SupportedLanguage.cs |   91 +
 .../SupportedLanguages.Serialization.cs       |  156 +
 .../Generated/Models/SupportedLanguages.cs    |   80 +
 .../SwapDeploymentsConfig.Serialization.cs    |  143 +
 .../Generated/Models/SwapDeploymentsConfig.cs |   82 +
 .../TrainingConfigVersion.Serialization.cs    |  143 +
 .../Generated/Models/TrainingConfigVersion.cs |   81 +
 .../TrainingConfigVersions.Serialization.cs   |  156 +
 .../Models/TrainingConfigVersions.cs          |   80 +
 .../Models/TrainingJobConfig.Serialization.cs |  169 +
 .../src/Generated/Models/TrainingJobConfig.cs |  103 +
 .../Models/TrainingJobResult.Serialization.cs |  203 +
 .../src/Generated/Models/TrainingJobResult.cs |  101 +
 .../Models/TrainingJobState.Serialization.cs  |  241 +
 .../src/Generated/Models/TrainingJobState.cs  |  114 +
 .../src/Generated/Models/TrainingMode.cs      |   54 +
 ...DeploymentResourcesConfig.Serialization.cs |  145 +
 .../UnassignDeploymentResourcesConfig.cs      |   76 +
 ...portedOrchestrationConfig.Serialization.cs |  135 +
 .../UnknownExportedOrchestrationConfig.cs     |   28 +
 ...nownExportedProjectAssets.Serialization.cs |  135 +
 .../Models/UnknownExportedProjectAssets.cs    |   28 +
 ...eEntitiesEvaluationResult.Serialization.cs |  163 +
 .../UtteranceEntitiesEvaluationResult.cs      |   86 +
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 ...guage.Authoring.Conversations.Tests.csproj |   20 +
 ...Samples_ConversationalAnalysisAuthoring.cs | 6402 +++++++++++++++
 .../tsp-location.yaml                         |    4 +
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diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/Azure.AI.Language.Authoring.Analyzetext.sln b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/Azure.AI.Language.Authoring.Analyzetext.sln
new file mode 100644
index 000000000000..fe0dc0df00a8
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/Azure.AI.Language.Authoring.Analyzetext.sln
@@ -0,0 +1,56 @@
+Microsoft Visual Studio Solution File, Format Version 12.00
+# Visual Studio Version 16
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+MinimumVisualStudioVersion = 10.0.40219.1
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Azure.Core.TestFramework", "..\..\core\Azure.Core.TestFramework\src\Azure.Core.TestFramework.csproj", "{ECC730C1-4AEA-420C-916A-66B19B79E4DC}"
+EndProject
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Azure.AI.Language.Authoring.Analyzetext", "src\Azure.AI.Language.Authoring.Analyzetext.csproj", "{28FF4005-4467-4E36-92E7-DEA27DEB1519}"
+EndProject
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Azure.AI.Language.Authoring.Analyzetext.Tests", "tests\Azure.AI.Language.Authoring.Analyzetext.Tests.csproj", "{1F1CD1D4-9932-4B73-99D8-C252A67D4B46}"
+EndProject
+Global
+	GlobalSection(SolutionConfigurationPlatforms) = preSolution
+		Debug|Any CPU = Debug|Any CPU
+		Release|Any CPU = Release|Any CPU
+	EndGlobalSection
+	GlobalSection(ProjectConfigurationPlatforms) = postSolution
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+		{28FF4005-4467-4E36-92E7-DEA27DEB1519}.Release|Any CPU.Build.0 = Release|Any CPU
+		{1F1CD1D4-9932-4B73-99D8-C252A67D4B46}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{1F1CD1D4-9932-4B73-99D8-C252A67D4B46}.Debug|Any CPU.Build.0 = Debug|Any CPU
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+	GlobalSection(SolutionProperties) = preSolution
+		HideSolutionNode = FALSE
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diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/CHANGELOG.md b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/CHANGELOG.md
new file mode 100644
index 000000000000..13dd08af78ab
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/CHANGELOG.md
@@ -0,0 +1,11 @@
+# Release History
+
+## 1.0.0-beta.1 (Unreleased)
+
+### Features Added
+
+### Breaking Changes
+
+### Bugs Fixed
+
+### Other Changes
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/Directory.Build.props b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/Directory.Build.props
new file mode 100644
index 000000000000..63bd836ad44b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/Directory.Build.props
@@ -0,0 +1,6 @@
+<Project ToolsVersion="15.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
+  <!--
+    Add any shared properties you want for the projects under this package directory that need to be set before the auto imported Directory.Build.props
+  -->
+  <Import Project="$([MSBuild]::GetDirectoryNameOfFileAbove($(MSBuildThisFileDirectory).., Directory.Build.props))\Directory.Build.props" />
+</Project>
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/README.md b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/README.md
new file mode 100644
index 000000000000..8aef879dc514
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/README.md
@@ -0,0 +1,107 @@
+# Azure.AI.Language.Authoring.Analyzetext client library for .NET
+
+Azure.AI.Language.Authoring.Analyzetext is a managed service that helps developers get secret simply and securely.
+
+Use the client library for to:
+
+* [Get secret](https://docs.microsoft.com/azure)
+
+[Source code][source_root] | [Package (NuGet)][package] | [API reference documentation][reference_docs] | [Product documentation][azconfig_docs] | [Samples][source_samples]
+
+  [Source code](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src) | [Package (NuGet)](https://www.nuget.org/packages) | [API reference documentation](https://azure.github.io/azure-sdk-for-net) | [Product documentation](https://docs.microsoft.com/azure)
+
+## Getting started
+
+This section should include everything a developer needs to do to install and create their first client connection *very quickly*.
+
+### Install the package
+
+First, provide instruction for obtaining and installing the package or library. This section might include only a single line of code, like `dotnet add package package-name`, but should enable a developer to successfully install the package from NuGet, npm, or even cloning a GitHub repository.
+
+Install the client library for .NET with [NuGet](https://www.nuget.org/ ):
+
+```dotnetcli
+dotnet add package Azure.AI.Language.Authoring.Analyzetext --prerelease
+```
+
+### Prerequisites
+
+Include a section after the install command that details any requirements that must be satisfied before a developer can [authenticate](#authenticate-the-client) and test all of the snippets in the [Examples](#examples) section. For example, for Cosmos DB:
+
+> You must have an [Azure subscription](https://azure.microsoft.com/free/dotnet/) and [Cosmos DB account](https://docs.microsoft.com/azure/cosmos-db/account-overview) (SQL API). In order to take advantage of the C# 8.0 syntax, it is recommended that you compile using the [.NET Core SDK](https://dotnet.microsoft.com/download) 3.0 or higher with a [language version](https://docs.microsoft.com/dotnet/csharp/language-reference/configure-language-version#override-a-default) of `latest`.  It is also possible to compile with the .NET Core SDK 2.1.x using a language version of `preview`.
+
+### Authenticate the client
+
+If your library requires authentication for use, such as for Azure services, include instructions and example code needed for initializing and authenticating.
+
+For example, include details on obtaining an account key and endpoint URI, setting environment variables for each, and initializing the client object.
+
+### Service API versions
+
+The client library targets the latest service API version by default. A client instance accepts an optional service API version parameter from its options to specify which API version service to communicate.
+
+#### Select a service API version
+
+You have the flexibility to explicitly select a supported service API version when instantiating a client by configuring its associated options. This ensures that the client can communicate with services using the specified API version.
+
+For example,
+
+```C# Snippet:Create<YourService>ClientForSpecificApiVersion
+Uri endpoint = new Uri("<your endpoint>");
+DefaultAzureCredential credential = new DefaultAzureCredential();
+<YourService>ClientOptions options = new <YourService>ClientOptions(<YourService>ClientOptions.ServiceVersion.<API Version>)
+var client = new <YourService>Client(endpoint, credential, options);
+```
+
+When selecting an API version, it's important to verify that there are no breaking changes compared to the latest API version. If there are significant differences, API calls may fail due to incompatibility.
+
+Always ensure that the chosen API version is fully supported and operational for your specific use case and that it aligns with the service's versioning policy.
+
+## Key concepts
+
+The *Key concepts* section should describe the functionality of the main classes. Point out the most important and useful classes in the package (with links to their reference pages) and explain how those classes work together. Feel free to use bulleted lists, tables, code blocks, or even diagrams for clarity.
+
+Include the *Thread safety* and *Additional concepts* sections below at the end of your *Key concepts* section. You may remove or add links depending on what your library makes use of:
+
+### Thread safety
+
+We guarantee that all client instance methods are thread-safe and independent of each other ([guideline](https://azure.github.io/azure-sdk/dotnet_introduction.html#dotnet-service-methods-thread-safety)). This ensures that the recommendation of reusing client instances is always safe, even across threads.
+
+### Additional concepts
+<!-- CLIENT COMMON BAR -->
+[Client options](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/README.md#configuring-service-clients-using-clientoptions) |
+[Accessing the response](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/README.md#accessing-http-response-details-using-responset) |
+[Long-running operations](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/README.md#consuming-long-running-operations-using-operationt) |
+[Handling failures](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/README.md#reporting-errors-requestfailedexception) |
+[Diagnostics](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/Diagnostics.md) |
+[Mocking](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/README.md#mocking) |
+[Client lifetime](https://devblogs.microsoft.com/azure-sdk/lifetime-management-and-thread-safety-guarantees-of-azure-sdk-net-clients/)
+<!-- CLIENT COMMON BAR -->
+
+## Examples
+
+You can familiarize yourself with different APIs using [Samples](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/samples).
+
+## Troubleshooting
+
+Describe common errors and exceptions, how to "unpack" them if necessary, and include guidance for graceful handling and recovery.
+
+Provide information to help developers avoid throttling or other service-enforced errors they might encounter. For example, provide guidance and examples for using retry or connection policies in the API.
+
+If the package or a related package supports it, include tips for logging or enabling instrumentation to help them debug their code.
+
+## Next steps
+
+* Provide a link to additional code examples, ideally to those sitting alongside the README in the package's `/samples` directory.
+* If appropriate, point users to other packages that might be useful.
+* If you think there's a good chance that developers might stumble across your package in error (because they're searching for specific functionality and mistakenly think the package provides that functionality), point them to the packages they might be looking for.
+
+## Contributing
+
+This is a template, but your SDK readme should include details on how to contribute code to the repo/package.
+
+<!-- LINKS -->
+[style-guide-msft]: https://docs.microsoft.com/style-guide/capitalization
+[style-guide-cloud]: https://aka.ms/azsdk/cloud-style-guide
+
+![Impressions](https://azure-sdk-impressions.azurewebsites.net/api/impressions/azure-sdk-for-net/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/README.png)
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Azure.AI.Language.Authoring.Analyzetext.csproj b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Azure.AI.Language.Authoring.Analyzetext.csproj
new file mode 100644
index 000000000000..6429bf706d3f
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Azure.AI.Language.Authoring.Analyzetext.csproj
@@ -0,0 +1,20 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <Description>This is the Azure.AI.Language.Authoring.Analyzetext client library for developing .NET applications with rich experience.</Description>
+    <AssemblyTitle>Azure SDK Code Generation Azure.AI.Language.Authoring.Analyzetext for Azure Data Plane</AssemblyTitle>
+    <Version>1.0.0-beta.1</Version>
+    <PackageTags>Azure.AI.Language.Authoring.Analyzetext</PackageTags>
+    <TargetFrameworks>$(RequiredTargetFrameworks)</TargetFrameworks>
+    <IncludeOperationsSharedSource>true</IncludeOperationsSharedSource>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <Compile Include="$(AzureCoreSharedSources)AzureKeyCredentialPolicy.cs" LinkBase="Shared/Core" />
+    <Compile Include="$(AzureCoreSharedSources)AzureResourceProviderNamespaceAttribute.cs" LinkBase="Shared/Core" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.Core" />
+    <PackageReference Include="System.Text.Json" />
+  </ItemGroup>
+</Project>
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/AILanguageAuthoringAnalyzetextClientBuilderExtensions.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/AILanguageAuthoringAnalyzetextClientBuilderExtensions.cs
new file mode 100644
index 000000000000..cc200bbb2191
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/AILanguageAuthoringAnalyzetextClientBuilderExtensions.cs
@@ -0,0 +1,52 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using Azure;
+using Azure.AI.Language.Authoring.Analyzetext;
+using Azure.Core.Extensions;
+
+namespace Microsoft.Extensions.Azure
+{
+    /// <summary> Extension methods to add <see cref="AnalyzetextClient"/> to client builder. </summary>
+    public static partial class AILanguageAuthoringAnalyzetextClientBuilderExtensions
+    {
+        /// <summary> Registers a <see cref="AnalyzetextClient"/> instance. </summary>
+        /// <param name="builder"> The builder to register with. </param>
+        /// <param name="endpoint">
+        /// Supported Cognitive Services endpoint (e.g.,
+        /// https://&lt;resource-name&gt;.api.cognitiveservices.azure.com).
+        /// </param>
+        /// <param name="credential"> A credential used to authenticate to an Azure Service. </param>
+        public static IAzureClientBuilder<AnalyzetextClient, AnalyzetextClientOptions> AddAnalyzetextClient<TBuilder>(this TBuilder builder, Uri endpoint, AzureKeyCredential credential)
+        where TBuilder : IAzureClientFactoryBuilder
+        {
+            return builder.RegisterClientFactory<AnalyzetextClient, AnalyzetextClientOptions>((options) => new AnalyzetextClient(endpoint, credential, options));
+        }
+
+        /// <summary> Registers a <see cref="AnalyzetextClient"/> instance. </summary>
+        /// <param name="builder"> The builder to register with. </param>
+        /// <param name="endpoint">
+        /// Supported Cognitive Services endpoint (e.g.,
+        /// https://&lt;resource-name&gt;.api.cognitiveservices.azure.com).
+        /// </param>
+        public static IAzureClientBuilder<AnalyzetextClient, AnalyzetextClientOptions> AddAnalyzetextClient<TBuilder>(this TBuilder builder, Uri endpoint)
+        where TBuilder : IAzureClientFactoryBuilderWithCredential
+        {
+            return builder.RegisterClientFactory<AnalyzetextClient, AnalyzetextClientOptions>((options, cred) => new AnalyzetextClient(endpoint, cred, options));
+        }
+
+        /// <summary> Registers a <see cref="AnalyzetextClient"/> instance. </summary>
+        /// <param name="builder"> The builder to register with. </param>
+        /// <param name="configuration"> The configuration values. </param>
+        public static IAzureClientBuilder<AnalyzetextClient, AnalyzetextClientOptions> AddAnalyzetextClient<TBuilder, TConfiguration>(this TBuilder builder, TConfiguration configuration)
+        where TBuilder : IAzureClientFactoryBuilderWithConfiguration<TConfiguration>
+        {
+            return builder.RegisterClientFactory<AnalyzetextClient, AnalyzetextClientOptions>(configuration);
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/AILanguageAuthoringAnalyzetextModelFactory.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/AILanguageAuthoringAnalyzetextModelFactory.cs
new file mode 100644
index 000000000000..1606c7108524
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/AILanguageAuthoringAnalyzetextModelFactory.cs
@@ -0,0 +1,1362 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Model factory for models. </summary>
+    public static partial class AILanguageAuthoringAnalyzetextModelFactory
+    {
+        /// <summary> Initializes a new instance of <see cref="Models.ProjectMetadata"/>. </summary>
+        /// <param name="createdDateTime"> Represents the project creation datetime. </param>
+        /// <param name="lastModifiedDateTime"> Represents the project last modification datetime. </param>
+        /// <param name="lastTrainedDateTime"> Represents the project last training datetime. </param>
+        /// <param name="lastDeployedDateTime"> Represents the project last deployment datetime. </param>
+        /// <param name="projectKind"> The project kind. </param>
+        /// <param name="storageInputContainerName"> The storage container name. </param>
+        /// <param name="settings"> The project settings. </param>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="multilingual"> Whether the project would be used for multiple languages or not. </param>
+        /// <param name="description"> The project description. </param>
+        /// <param name="language">
+        /// The project language. This is BCP-47 representation of a language. For example,
+        /// use "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <returns> A new <see cref="Models.ProjectMetadata"/> instance for mocking. </returns>
+        public static ProjectMetadata ProjectMetadata(DateTimeOffset createdDateTime = default, DateTimeOffset lastModifiedDateTime = default, DateTimeOffset? lastTrainedDateTime = null, DateTimeOffset? lastDeployedDateTime = null, ProjectKind projectKind = default, string storageInputContainerName = null, ProjectSettings settings = null, string projectName = null, bool? multilingual = null, string description = null, string language = null)
+        {
+            return new ProjectMetadata(
+                createdDateTime,
+                lastModifiedDateTime,
+                lastTrainedDateTime,
+                lastDeployedDateTime,
+                projectKind,
+                storageInputContainerName,
+                settings,
+                projectName,
+                multilingual,
+                description,
+                language,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.TextAnalysisAuthoringError"/>. </summary>
+        /// <param name="code"> One of a server-defined set of error codes. </param>
+        /// <param name="message"> A human-readable representation of the error. </param>
+        /// <param name="target"> The target of the error. </param>
+        /// <param name="details"> An array of details about specific errors that led to this reported error. </param>
+        /// <param name="innererror">
+        /// An object containing more specific information than the current object about
+        /// the error.
+        /// </param>
+        /// <returns> A new <see cref="Models.TextAnalysisAuthoringError"/> instance for mocking. </returns>
+        public static TextAnalysisAuthoringError TextAnalysisAuthoringError(ErrorCode code = default, string message = null, string target = null, IEnumerable<TextAnalysisAuthoringError> details = null, InnerErrorModel innererror = null)
+        {
+            details ??= new List<TextAnalysisAuthoringError>();
+
+            return new TextAnalysisAuthoringError(
+                code,
+                message,
+                target,
+                details?.ToList(),
+                innererror,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.InnerErrorModel"/>. </summary>
+        /// <param name="code"> One of a server-defined set of error codes. </param>
+        /// <param name="message"> Error message. </param>
+        /// <param name="details"> Error details. </param>
+        /// <param name="target"> Error target. </param>
+        /// <param name="innererror">
+        /// An object containing more specific information than the current object about
+        /// the error.
+        /// </param>
+        /// <returns> A new <see cref="Models.InnerErrorModel"/> instance for mocking. </returns>
+        public static InnerErrorModel InnerErrorModel(InnerErrorCode code = default, string message = null, IReadOnlyDictionary<string, string> details = null, string target = null, InnerErrorModel innererror = null)
+        {
+            details ??= new Dictionary<string, string>();
+
+            return new InnerErrorModel(
+                code,
+                message,
+                details,
+                target,
+                innererror,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetProjectResponse"/>. </summary>
+        /// <param name="createdDateTime"> Represents the project creation datetime. </param>
+        /// <param name="lastModifiedDateTime"> Represents the project last modification datetime. </param>
+        /// <param name="lastTrainedDateTime"> Represents the project last training datetime. </param>
+        /// <param name="lastDeployedDateTime"> Represents the project last deployment datetime. </param>
+        /// <param name="projectKind"> The project kind. </param>
+        /// <param name="storageInputContainerName"> The storage container name. </param>
+        /// <param name="settings"> The project settings. </param>
+        /// <param name="multilingual"> Whether the project would be used for multiple languages or not. </param>
+        /// <param name="description"> The project description. </param>
+        /// <param name="language">
+        /// The project language. This is BCP-47 representation of a language. For example,
+        /// use "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <returns> A new <see cref="Models.GetProjectResponse"/> instance for mocking. </returns>
+        public static GetProjectResponse GetProjectResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastModifiedDateTime = default, DateTimeOffset? lastTrainedDateTime = null, DateTimeOffset? lastDeployedDateTime = null, ProjectKind projectKind = default, string storageInputContainerName = null, ProjectSettings settings = null, bool? multilingual = null, string description = null, string language = null)
+        {
+            return new GetProjectResponse(
+                createdDateTime,
+                lastModifiedDateTime,
+                lastTrainedDateTime,
+                lastDeployedDateTime,
+                projectKind,
+                storageInputContainerName,
+                settings,
+                multilingual,
+                description,
+                language,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.CreateProjectConfig"/>. </summary>
+        /// <param name="projectKind"> The project kind. </param>
+        /// <param name="storageInputContainerName"> The storage container name. </param>
+        /// <param name="settings"> The project settings. </param>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="multilingual"> Whether the project would be used for multiple languages or not. </param>
+        /// <param name="description"> The project description. </param>
+        /// <param name="language">
+        /// The project language. This is BCP-47 representation of a language. For example,
+        /// use "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <returns> A new <see cref="Models.CreateProjectConfig"/> instance for mocking. </returns>
+        public static CreateProjectConfig CreateProjectConfig(ProjectKind projectKind = default, string storageInputContainerName = null, ProjectSettings settings = null, string projectName = null, bool? multilingual = null, string description = null, string language = null)
+        {
+            return new CreateProjectConfig(
+                projectKind,
+                storageInputContainerName,
+                settings,
+                projectName,
+                multilingual,
+                description,
+                language,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ExportedProject"/>. </summary>
+        /// <param name="projectFileVersion"> The version of the exported file. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets.
+        /// </param>
+        /// <param name="metadata"> Represents the project metadata. </param>
+        /// <param name="assets">
+        /// Represents the project assets.
+        /// Please note <see cref="ExportedProjectAssets"/> is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes.
+        /// The available derived classes include <see cref="ExportedCustomAbstractiveSummarizationProjectAssets"/>, <see cref="ExportedCustomEntityRecognitionProjectAssets"/>, <see cref="ExportedCustomHealthcareProjectAssets"/>, <see cref="ExportedCustomMultiLabelClassificationProjectAssets"/>, <see cref="ExportedCustomSingleLabelClassificationProjectAssets"/> and <see cref="ExportedCustomTextSentimentProjectAssets"/>.
+        /// </param>
+        /// <returns> A new <see cref="Models.ExportedProject"/> instance for mocking. </returns>
+        public static ExportedProject ExportedProject(string projectFileVersion = null, StringIndexType stringIndexType = default, CreateProjectConfig metadata = null, ExportedProjectAssets assets = null)
+        {
+            return new ExportedProject(projectFileVersion, stringIndexType, metadata, assets, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ExportedCustomAbstractiveSummarizationDocument"/>. </summary>
+        /// <param name="summaryLocation">
+        /// Represents the summary file location in the blob store container associated
+        /// with the project.
+        /// </param>
+        /// <param name="location"> The location of the document in the storage. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="dataset"> The dataset for this document. Allowed values are 'Train' and 'Test'. </param>
+        /// <returns> A new <see cref="Models.ExportedCustomAbstractiveSummarizationDocument"/> instance for mocking. </returns>
+        public static ExportedCustomAbstractiveSummarizationDocument ExportedCustomAbstractiveSummarizationDocument(string summaryLocation = null, string location = null, string language = null, string dataset = null)
+        {
+            return new ExportedCustomAbstractiveSummarizationDocument(summaryLocation, location, language, dataset, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.TrainingJobConfig"/>. </summary>
+        /// <param name="modelLabel"> Represents the output model label. </param>
+        /// <param name="trainingConfigVersion"> Represents training config version. </param>
+        /// <param name="evaluationOptions">
+        /// Represents the evaluation options. By default, the evaluation kind is
+        /// percentage, with training split percentage as 80, and testing split percentage
+        /// as 20.
+        /// </param>
+        /// <param name="dataGenerationSettings"> Represents the settings for using data generation as part of training a custom model. </param>
+        /// <returns> A new <see cref="Models.TrainingJobConfig"/> instance for mocking. </returns>
+        public static TrainingJobConfig TrainingJobConfig(string modelLabel = null, string trainingConfigVersion = null, EvaluationConfig evaluationOptions = null, DataGenerationSettings dataGenerationSettings = null)
+        {
+            return new TrainingJobConfig(modelLabel, trainingConfigVersion, evaluationOptions, dataGenerationSettings, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.DataGenerationConnectionInfo"/>. </summary>
+        /// <param name="kind"> Connection type for data generation settings. Currently only supports Azure Open AI. </param>
+        /// <param name="resourceId"> Resource ID for the data generation resource. Looks something like "/subscriptions/&lt;SUBSCRIPTION-ID-GUID&gt;/resourceGroups/&lt;RG-NAME&gt;/providers/Microsoft.CognitiveServices/accounts/&lt;AOAI-ACCOUNT-NAME&gt;". </param>
+        /// <param name="deploymentName"> Deployment name of model to be used for synthetic data generation. </param>
+        /// <returns> A new <see cref="Models.DataGenerationConnectionInfo"/> instance for mocking. </returns>
+        public static DataGenerationConnectionInfo DataGenerationConnectionInfo(DataGenerationConnectionInfoKind kind = default, string resourceId = null, string deploymentName = null)
+        {
+            return new DataGenerationConnectionInfo(kind, resourceId, deploymentName, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.TrainingJobResult"/>. </summary>
+        /// <param name="modelLabel"> Represents trained model label. </param>
+        /// <param name="trainingConfigVersion"> Represents training config version. </param>
+        /// <param name="trainingStatus"> Represents model train status. </param>
+        /// <param name="evaluationStatus"> Represents model evaluation status. </param>
+        /// <param name="estimatedEndDateTime"> Represents the estimate end date time for training and evaluation. </param>
+        /// <returns> A new <see cref="Models.TrainingJobResult"/> instance for mocking. </returns>
+        public static TrainingJobResult TrainingJobResult(string modelLabel = null, string trainingConfigVersion = null, SubTrainingJobState trainingStatus = null, SubTrainingJobState evaluationStatus = null, DateTimeOffset? estimatedEndDateTime = null)
+        {
+            return new TrainingJobResult(
+                modelLabel,
+                trainingConfigVersion,
+                trainingStatus,
+                evaluationStatus,
+                estimatedEndDateTime,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.SubTrainingJobState"/>. </summary>
+        /// <param name="percentComplete"> Represents progress percentage. </param>
+        /// <param name="startDateTime"> Represents the start date time. </param>
+        /// <param name="endDateTime"> Represents the end date time. </param>
+        /// <param name="status"> Represents the status of the sub-operation. </param>
+        /// <returns> A new <see cref="Models.SubTrainingJobState"/> instance for mocking. </returns>
+        public static SubTrainingJobState SubTrainingJobState(int percentComplete = default, DateTimeOffset? startDateTime = null, DateTimeOffset? endDateTime = null, JobStatus status = default)
+        {
+            return new SubTrainingJobState(percentComplete, startDateTime, endDateTime, status, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.TrainingJobState"/>. </summary>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="result"> Represents training tasks detailed result. </param>
+        /// <returns> A new <see cref="Models.TrainingJobState"/> instance for mocking. </returns>
+        public static TrainingJobState TrainingJobState(string jobId = null, DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<TextAnalysisAuthoringWarning> warnings = null, IEnumerable<TextAnalysisAuthoringError> errors = null, TrainingJobResult result = null)
+        {
+            warnings ??= new List<TextAnalysisAuthoringWarning>();
+            errors ??= new List<TextAnalysisAuthoringError>();
+
+            return new TrainingJobState(
+                jobId,
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                result,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.TextAnalysisAuthoringWarning"/>. </summary>
+        /// <param name="code"> The warning code. </param>
+        /// <param name="message"> The warning message. </param>
+        /// <returns> A new <see cref="Models.TextAnalysisAuthoringWarning"/> instance for mocking. </returns>
+        public static TextAnalysisAuthoringWarning TextAnalysisAuthoringWarning(string code = null, string message = null)
+        {
+            return new TextAnalysisAuthoringWarning(code, message, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetCopyProjectStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetCopyProjectStatusResponse"/> instance for mocking. </returns>
+        public static GetCopyProjectStatusResponse GetCopyProjectStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<TextAnalysisAuthoringWarning> warnings = null, IEnumerable<TextAnalysisAuthoringError> errors = null)
+        {
+            warnings ??= new List<TextAnalysisAuthoringWarning>();
+            errors ??= new List<TextAnalysisAuthoringError>();
+
+            return new GetCopyProjectStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ProjectDeployment"/>. </summary>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="modelId"> Represents deployment modelId. </param>
+        /// <param name="lastTrainedDateTime"> Represents deployment last trained time. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <param name="modelTrainingConfigVersion"> Represents model training config version. </param>
+        /// <param name="assignedResources"> Represents the metadata of the assigned Azure resources. </param>
+        /// <returns> A new <see cref="Models.ProjectDeployment"/> instance for mocking. </returns>
+        public static ProjectDeployment ProjectDeployment(string deploymentName = null, string modelId = null, DateTimeOffset lastTrainedDateTime = default, DateTimeOffset lastDeployedDateTime = default, DateTimeOffset deploymentExpirationDate = default, string modelTrainingConfigVersion = null, IEnumerable<DeploymentResource> assignedResources = null)
+        {
+            assignedResources ??= new List<DeploymentResource>();
+
+            return new ProjectDeployment(
+                deploymentName,
+                modelId,
+                lastTrainedDateTime,
+                lastDeployedDateTime,
+                deploymentExpirationDate,
+                modelTrainingConfigVersion,
+                assignedResources?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.DeploymentResource"/>. </summary>
+        /// <param name="resourceId"> Represents the Azure resource Id. </param>
+        /// <param name="region"> Represents the resource region. </param>
+        /// <returns> A new <see cref="Models.DeploymentResource"/> instance for mocking. </returns>
+        public static DeploymentResource DeploymentResource(string resourceId = null, string region = null)
+        {
+            return new DeploymentResource(resourceId, region, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetDeploymentResponse"/>. </summary>
+        /// <param name="modelId"> Represents deployment modelId. </param>
+        /// <param name="lastTrainedDateTime"> Represents deployment last trained time. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <param name="modelTrainingConfigVersion"> Represents model training config version. </param>
+        /// <param name="assignedResources"> Represents the metadata of the assigned Azure resources. </param>
+        /// <returns> A new <see cref="Models.GetDeploymentResponse"/> instance for mocking. </returns>
+        public static GetDeploymentResponse GetDeploymentResponse(string modelId = null, DateTimeOffset lastTrainedDateTime = default, DateTimeOffset lastDeployedDateTime = default, DateTimeOffset deploymentExpirationDate = default, string modelTrainingConfigVersion = null, IEnumerable<DeploymentResource> assignedResources = null)
+        {
+            assignedResources ??= new List<DeploymentResource>();
+
+            return new GetDeploymentResponse(
+                modelId,
+                lastTrainedDateTime,
+                lastDeployedDateTime,
+                deploymentExpirationDate,
+                modelTrainingConfigVersion,
+                assignedResources?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.CreateDeploymentConfig"/>. </summary>
+        /// <param name="trainedModelLabel"> Represents the trained model label. </param>
+        /// <param name="assignedResourceIds">
+        /// Represents the resource IDs to be assigned to the deployment.
+        /// If provided, the deployment will be rolled out to the resources
+        /// provided here as well as the original resource in which the project is created.
+        /// </param>
+        /// <returns> A new <see cref="Models.CreateDeploymentConfig"/> instance for mocking. </returns>
+        public static CreateDeploymentConfig CreateDeploymentConfig(string trainedModelLabel = null, IEnumerable<string> assignedResourceIds = null)
+        {
+            assignedResourceIds ??= new List<string>();
+
+            return new CreateDeploymentConfig(trainedModelLabel, assignedResourceIds?.ToList(), serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetDeploymentDeleteFromResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetDeploymentDeleteFromResourcesStatusResponse"/> instance for mocking. </returns>
+        public static GetDeploymentDeleteFromResourcesStatusResponse GetDeploymentDeleteFromResourcesStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<TextAnalysisAuthoringWarning> warnings = null, IEnumerable<TextAnalysisAuthoringError> errors = null)
+        {
+            warnings ??= new List<TextAnalysisAuthoringWarning>();
+            errors ??= new List<TextAnalysisAuthoringError>();
+
+            return new GetDeploymentDeleteFromResourcesStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetDeploymentStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetDeploymentStatusResponse"/> instance for mocking. </returns>
+        public static GetDeploymentStatusResponse GetDeploymentStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<TextAnalysisAuthoringWarning> warnings = null, IEnumerable<TextAnalysisAuthoringError> errors = null)
+        {
+            warnings ??= new List<TextAnalysisAuthoringWarning>();
+            errors ??= new List<TextAnalysisAuthoringError>();
+
+            return new GetDeploymentStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetSwapDeploymentsStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetSwapDeploymentsStatusResponse"/> instance for mocking. </returns>
+        public static GetSwapDeploymentsStatusResponse GetSwapDeploymentsStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<TextAnalysisAuthoringWarning> warnings = null, IEnumerable<TextAnalysisAuthoringError> errors = null)
+        {
+            warnings ??= new List<TextAnalysisAuthoringWarning>();
+            errors ??= new List<TextAnalysisAuthoringError>();
+
+            return new GetSwapDeploymentsStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetExportStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="resultUrl"> The URL to use in order to download the exported project. </param>
+        /// <returns> A new <see cref="Models.GetExportStatusResponse"/> instance for mocking. </returns>
+        public static GetExportStatusResponse GetExportStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<TextAnalysisAuthoringWarning> warnings = null, IEnumerable<TextAnalysisAuthoringError> errors = null, string resultUrl = null)
+        {
+            warnings ??= new List<TextAnalysisAuthoringWarning>();
+            errors ??= new List<TextAnalysisAuthoringError>();
+
+            return new GetExportStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                resultUrl,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ExportedTrainedModel"/>. </summary>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastExportedModelDateTime"> The last exported date time of the model. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <returns> A new <see cref="Models.ExportedTrainedModel"/> instance for mocking. </returns>
+        public static ExportedTrainedModel ExportedTrainedModel(string exportedModelName = null, string modelId = null, DateTimeOffset lastTrainedDateTime = default, DateTimeOffset lastExportedModelDateTime = default, DateTimeOffset modelExpirationDate = default, string modelTrainingConfigVersion = null)
+        {
+            return new ExportedTrainedModel(
+                exportedModelName,
+                modelId,
+                lastTrainedDateTime,
+                lastExportedModelDateTime,
+                modelExpirationDate,
+                modelTrainingConfigVersion,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetExportedModelResponse"/>. </summary>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastExportedModelDateTime"> The last exported date time of the model. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <returns> A new <see cref="Models.GetExportedModelResponse"/> instance for mocking. </returns>
+        public static GetExportedModelResponse GetExportedModelResponse(string modelId = null, DateTimeOffset lastTrainedDateTime = default, DateTimeOffset lastExportedModelDateTime = default, DateTimeOffset modelExpirationDate = default, string modelTrainingConfigVersion = null)
+        {
+            return new GetExportedModelResponse(
+                modelId,
+                lastTrainedDateTime,
+                lastExportedModelDateTime,
+                modelExpirationDate,
+                modelTrainingConfigVersion,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetExportedModelJobStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetExportedModelJobStatusResponse"/> instance for mocking. </returns>
+        public static GetExportedModelJobStatusResponse GetExportedModelJobStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<TextAnalysisAuthoringWarning> warnings = null, IEnumerable<TextAnalysisAuthoringError> errors = null)
+        {
+            warnings ??= new List<TextAnalysisAuthoringWarning>();
+            errors ??= new List<TextAnalysisAuthoringError>();
+
+            return new GetExportedModelJobStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ExportedModelManifest"/>. </summary>
+        /// <param name="modelFiles"> The model files belonging to this model. </param>
+        /// <returns> A new <see cref="Models.ExportedModelManifest"/> instance for mocking. </returns>
+        public static ExportedModelManifest ExportedModelManifest(IEnumerable<ModelFile> modelFiles = null)
+        {
+            modelFiles ??= new List<ModelFile>();
+
+            return new ExportedModelManifest(modelFiles?.ToList(), serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ModelFile"/>. </summary>
+        /// <param name="name"> The name of the file. </param>
+        /// <param name="contentUri"> The URI to retrieve the content of the file. </param>
+        /// <returns> A new <see cref="Models.ModelFile"/> instance for mocking. </returns>
+        public static ModelFile ModelFile(string name = null, Uri contentUri = null)
+        {
+            return new ModelFile(name, contentUri, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetImportStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetImportStatusResponse"/> instance for mocking. </returns>
+        public static GetImportStatusResponse GetImportStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<TextAnalysisAuthoringWarning> warnings = null, IEnumerable<TextAnalysisAuthoringError> errors = null)
+        {
+            warnings ??= new List<TextAnalysisAuthoringWarning>();
+            errors ??= new List<TextAnalysisAuthoringError>();
+
+            return new GetImportStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ProjectTrainedModel"/>. </summary>
+        /// <param name="label"> The trained model label. </param>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastTrainingDurationInSeconds"> The duration of the model's last training request in seconds. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <param name="hasSnapshot"> The flag to indicate if the trained model has a snapshot ready. </param>
+        /// <returns> A new <see cref="Models.ProjectTrainedModel"/> instance for mocking. </returns>
+        public static ProjectTrainedModel ProjectTrainedModel(string label = null, string modelId = null, DateTimeOffset lastTrainedDateTime = default, int lastTrainingDurationInSeconds = default, DateTimeOffset modelExpirationDate = default, string modelTrainingConfigVersion = null, bool hasSnapshot = default)
+        {
+            return new ProjectTrainedModel(
+                label,
+                modelId,
+                lastTrainedDateTime,
+                lastTrainingDurationInSeconds,
+                modelExpirationDate,
+                modelTrainingConfigVersion,
+                hasSnapshot,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetTrainedModelResponse"/>. </summary>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastTrainingDurationInSeconds"> The duration of the model's last training request in seconds. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <param name="hasSnapshot"> The flag to indicate if the trained model has a snapshot ready. </param>
+        /// <returns> A new <see cref="Models.GetTrainedModelResponse"/> instance for mocking. </returns>
+        public static GetTrainedModelResponse GetTrainedModelResponse(string modelId = null, DateTimeOffset lastTrainedDateTime = default, int lastTrainingDurationInSeconds = default, DateTimeOffset modelExpirationDate = default, string modelTrainingConfigVersion = null, bool hasSnapshot = default)
+        {
+            return new GetTrainedModelResponse(
+                modelId,
+                lastTrainedDateTime,
+                lastTrainingDurationInSeconds,
+                modelExpirationDate,
+                modelTrainingConfigVersion,
+                hasSnapshot,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.EvaluationJobResult"/>. </summary>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="modelLabel"> Represents trained model label. </param>
+        /// <param name="trainingConfigVersion"> Represents training config version. </param>
+        /// <param name="percentComplete"> Represents progress percentage. </param>
+        /// <returns> A new <see cref="Models.EvaluationJobResult"/> instance for mocking. </returns>
+        public static EvaluationJobResult EvaluationJobResult(EvaluationConfig evaluationOptions = null, string modelLabel = null, string trainingConfigVersion = null, int percentComplete = default)
+        {
+            return new EvaluationJobResult(evaluationOptions, modelLabel, trainingConfigVersion, percentComplete, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetEvaluationStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="result"> Represents evaluation task detailed result. </param>
+        /// <returns> A new <see cref="Models.GetEvaluationStatusResponse"/> instance for mocking. </returns>
+        public static GetEvaluationStatusResponse GetEvaluationStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<TextAnalysisAuthoringWarning> warnings = null, IEnumerable<TextAnalysisAuthoringError> errors = null, EvaluationJobResult result = null)
+        {
+            warnings ??= new List<TextAnalysisAuthoringWarning>();
+            errors ??= new List<TextAnalysisAuthoringError>();
+
+            return new GetEvaluationStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                result,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.DocumentEvaluationResult"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <returns> A new <see cref="Models.DocumentEvaluationResult"/> instance for mocking. </returns>
+        public static DocumentEvaluationResult DocumentEvaluationResult(string projectKind = null, string location = null, string language = null)
+        {
+            return new UnknownDocumentEvaluationResult(projectKind == null ? default : new ProjectKind(projectKind), location, language, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.CustomEntityRecognitionDocumentEvaluationResult"/>. </summary>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="customEntityRecognitionResult"> Represents the evaluation prediction for entity recognition. </param>
+        /// <returns> A new <see cref="Models.CustomEntityRecognitionDocumentEvaluationResult"/> instance for mocking. </returns>
+        public static CustomEntityRecognitionDocumentEvaluationResult CustomEntityRecognitionDocumentEvaluationResult(string location = null, string language = null, DocumentEntityRecognitionEvaluationResult customEntityRecognitionResult = null)
+        {
+            return new CustomEntityRecognitionDocumentEvaluationResult(ProjectKind.CustomEntityRecognition, location, language, serializedAdditionalRawData: null, customEntityRecognitionResult);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.DocumentEntityRecognitionEvaluationResult"/>. </summary>
+        /// <param name="entities"> Represents the document labelled entities. </param>
+        /// <returns> A new <see cref="Models.DocumentEntityRecognitionEvaluationResult"/> instance for mocking. </returns>
+        public static DocumentEntityRecognitionEvaluationResult DocumentEntityRecognitionEvaluationResult(IEnumerable<DocumentEntityRegionEvaluationResult> entities = null)
+        {
+            entities ??= new List<DocumentEntityRegionEvaluationResult>();
+
+            return new DocumentEntityRecognitionEvaluationResult(entities?.ToList(), serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.DocumentEntityRegionEvaluationResult"/>. </summary>
+        /// <param name="expectedEntities"> Represents the region's expected entity labels. </param>
+        /// <param name="predictedEntities"> Represents the region's predicted entity labels. </param>
+        /// <param name="regionOffset"> Represents the region offset. </param>
+        /// <param name="regionLength"> Represents the region length. </param>
+        /// <returns> A new <see cref="Models.DocumentEntityRegionEvaluationResult"/> instance for mocking. </returns>
+        public static DocumentEntityRegionEvaluationResult DocumentEntityRegionEvaluationResult(IEnumerable<DocumentEntityLabelEvaluationResult> expectedEntities = null, IEnumerable<DocumentEntityLabelEvaluationResult> predictedEntities = null, int regionOffset = default, int regionLength = default)
+        {
+            expectedEntities ??= new List<DocumentEntityLabelEvaluationResult>();
+            predictedEntities ??= new List<DocumentEntityLabelEvaluationResult>();
+
+            return new DocumentEntityRegionEvaluationResult(expectedEntities?.ToList(), predictedEntities?.ToList(), regionOffset, regionLength, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.DocumentEntityLabelEvaluationResult"/>. </summary>
+        /// <param name="category"> Represents the entity category. </param>
+        /// <param name="offset"> Represents the entity offset index relative to the original text. </param>
+        /// <param name="length"> Represents the entity length. </param>
+        /// <returns> A new <see cref="Models.DocumentEntityLabelEvaluationResult"/> instance for mocking. </returns>
+        public static DocumentEntityLabelEvaluationResult DocumentEntityLabelEvaluationResult(string category = null, int offset = default, int length = default)
+        {
+            return new DocumentEntityLabelEvaluationResult(category, offset, length, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.CustomHealthcareDocumentEvaluationResult"/>. </summary>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="customHealthcareResult"> Represents the evaluation prediction for entity recognition. </param>
+        /// <returns> A new <see cref="Models.CustomHealthcareDocumentEvaluationResult"/> instance for mocking. </returns>
+        public static CustomHealthcareDocumentEvaluationResult CustomHealthcareDocumentEvaluationResult(string location = null, string language = null, DocumentHealthcareEvaluationResult customHealthcareResult = null)
+        {
+            return new CustomHealthcareDocumentEvaluationResult(ProjectKind.CustomHealthcare, location, language, serializedAdditionalRawData: null, customHealthcareResult);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.DocumentHealthcareEvaluationResult"/>. </summary>
+        /// <param name="entities"> Represents the document labelled entities. </param>
+        /// <returns> A new <see cref="Models.DocumentHealthcareEvaluationResult"/> instance for mocking. </returns>
+        public static DocumentHealthcareEvaluationResult DocumentHealthcareEvaluationResult(IEnumerable<DocumentEntityRegionEvaluationResult> entities = null)
+        {
+            entities ??= new List<DocumentEntityRegionEvaluationResult>();
+
+            return new DocumentHealthcareEvaluationResult(entities?.ToList(), serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.CustomMultiLabelClassificationDocumentEvaluationResult"/>. </summary>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="customMultiLabelClassificationResult"> Represents the evaluation prediction for multi label classification. </param>
+        /// <returns> A new <see cref="Models.CustomMultiLabelClassificationDocumentEvaluationResult"/> instance for mocking. </returns>
+        public static CustomMultiLabelClassificationDocumentEvaluationResult CustomMultiLabelClassificationDocumentEvaluationResult(string location = null, string language = null, DocumentMultiLabelClassificationEvaluationResult customMultiLabelClassificationResult = null)
+        {
+            return new CustomMultiLabelClassificationDocumentEvaluationResult(ProjectKind.CustomMultiLabelClassification, location, language, serializedAdditionalRawData: null, customMultiLabelClassificationResult);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.DocumentMultiLabelClassificationEvaluationResult"/>. </summary>
+        /// <param name="expectedClasses"> Represents the document's expected classes. </param>
+        /// <param name="predictedClasses"> Represents the document's predicted classes. </param>
+        /// <returns> A new <see cref="Models.DocumentMultiLabelClassificationEvaluationResult"/> instance for mocking. </returns>
+        public static DocumentMultiLabelClassificationEvaluationResult DocumentMultiLabelClassificationEvaluationResult(IEnumerable<string> expectedClasses = null, IEnumerable<string> predictedClasses = null)
+        {
+            expectedClasses ??= new List<string>();
+            predictedClasses ??= new List<string>();
+
+            return new DocumentMultiLabelClassificationEvaluationResult(expectedClasses?.ToList(), predictedClasses?.ToList(), serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.CustomSingleLabelClassificationDocumentEvaluationResult"/>. </summary>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="customSingleLabelClassificationResult"> Represents the evaluation prediction for single label classification. </param>
+        /// <returns> A new <see cref="Models.CustomSingleLabelClassificationDocumentEvaluationResult"/> instance for mocking. </returns>
+        public static CustomSingleLabelClassificationDocumentEvaluationResult CustomSingleLabelClassificationDocumentEvaluationResult(string location = null, string language = null, DocumentSingleLabelClassificationEvaluationResult customSingleLabelClassificationResult = null)
+        {
+            return new CustomSingleLabelClassificationDocumentEvaluationResult(ProjectKind.CustomSingleLabelClassification, location, language, serializedAdditionalRawData: null, customSingleLabelClassificationResult);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.DocumentSingleLabelClassificationEvaluationResult"/>. </summary>
+        /// <param name="expectedClass"> Represents the document's expected class. </param>
+        /// <param name="predictedClass"> Represents the document's predicted class. </param>
+        /// <returns> A new <see cref="Models.DocumentSingleLabelClassificationEvaluationResult"/> instance for mocking. </returns>
+        public static DocumentSingleLabelClassificationEvaluationResult DocumentSingleLabelClassificationEvaluationResult(string expectedClass = null, string predictedClass = null)
+        {
+            return new DocumentSingleLabelClassificationEvaluationResult(expectedClass, predictedClass, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.CustomTextSentimentDocumentEvaluationResult"/>. </summary>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="customTextSentimentResult"> Represents the evaluation prediction for text sentiment. </param>
+        /// <returns> A new <see cref="Models.CustomTextSentimentDocumentEvaluationResult"/> instance for mocking. </returns>
+        public static CustomTextSentimentDocumentEvaluationResult CustomTextSentimentDocumentEvaluationResult(string location = null, string language = null, DocumentTextSentimentEvaluationResult customTextSentimentResult = null)
+        {
+            return new CustomTextSentimentDocumentEvaluationResult(ProjectKind.CustomTextSentiment, location, language, serializedAdditionalRawData: null, customTextSentimentResult);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.DocumentTextSentimentEvaluationResult"/>. </summary>
+        /// <param name="expectedSentimentSpans"> Represents the document's expected sentiment labels. </param>
+        /// <param name="predictedSentimentSpans"> Represents the document's predicted sentiment labels. </param>
+        /// <returns> A new <see cref="Models.DocumentTextSentimentEvaluationResult"/> instance for mocking. </returns>
+        public static DocumentTextSentimentEvaluationResult DocumentTextSentimentEvaluationResult(IEnumerable<DocumentSentimentLabelEvaluationResult> expectedSentimentSpans = null, IEnumerable<DocumentSentimentLabelEvaluationResult> predictedSentimentSpans = null)
+        {
+            expectedSentimentSpans ??= new List<DocumentSentimentLabelEvaluationResult>();
+            predictedSentimentSpans ??= new List<DocumentSentimentLabelEvaluationResult>();
+
+            return new DocumentTextSentimentEvaluationResult(expectedSentimentSpans?.ToList(), predictedSentimentSpans?.ToList(), serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.DocumentSentimentLabelEvaluationResult"/>. </summary>
+        /// <param name="category"> Represents the sentiment category. </param>
+        /// <param name="offset"> Represents the sentiment offset index relative to the original text. </param>
+        /// <param name="length"> Represents the sentiment length. </param>
+        /// <returns> A new <see cref="Models.DocumentSentimentLabelEvaluationResult"/> instance for mocking. </returns>
+        public static DocumentSentimentLabelEvaluationResult DocumentSentimentLabelEvaluationResult(TextAnalysisAuthoringSentiment category = default, int offset = default, int length = default)
+        {
+            return new DocumentSentimentLabelEvaluationResult(category, offset, length, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.EvaluationSummary"/>. </summary>
+        /// <param name="projectKind"> Represents the project type that the evaluation ran on. </param>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <returns> A new <see cref="Models.EvaluationSummary"/> instance for mocking. </returns>
+        public static EvaluationSummary EvaluationSummary(string projectKind = null, EvaluationConfig evaluationOptions = null)
+        {
+            return new UnknownEvaluationSummary(projectKind == null ? default : new ProjectKind(projectKind), evaluationOptions, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.CustomEntityRecognitionEvaluationSummary"/>. </summary>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="customEntityRecognitionEvaluation"> Contains the data related to extraction evaluation. </param>
+        /// <returns> A new <see cref="Models.CustomEntityRecognitionEvaluationSummary"/> instance for mocking. </returns>
+        public static CustomEntityRecognitionEvaluationSummary CustomEntityRecognitionEvaluationSummary(EvaluationConfig evaluationOptions = null, EntityRecognitionEvaluationSummary customEntityRecognitionEvaluation = null)
+        {
+            return new CustomEntityRecognitionEvaluationSummary(ProjectKind.CustomEntityRecognition, evaluationOptions, serializedAdditionalRawData: null, customEntityRecognitionEvaluation);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.EntityRecognitionEvaluationSummary"/>. </summary>
+        /// <param name="confusionMatrix">
+        /// Represents the confusion matrix between two entities (the two entities can be
+        /// the same). The matrix is between the entity that was labelled and the entity
+        /// that was predicted.
+        /// </param>
+        /// <param name="entities"> Represents the entities evaluation. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <returns> A new <see cref="Models.EntityRecognitionEvaluationSummary"/> instance for mocking. </returns>
+        public static EntityRecognitionEvaluationSummary EntityRecognitionEvaluationSummary(ConfusionMatrix confusionMatrix = null, IReadOnlyDictionary<string, EntityEvaluationSummary> entities = null, float microF1 = default, float microPrecision = default, float microRecall = default, float macroF1 = default, float macroPrecision = default, float macroRecall = default)
+        {
+            entities ??= new Dictionary<string, EntityEvaluationSummary>();
+
+            return new EntityRecognitionEvaluationSummary(
+                confusionMatrix,
+                entities,
+                microF1,
+                microPrecision,
+                microRecall,
+                macroF1,
+                macroPrecision,
+                macroRecall,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ConfusionMatrix"/>. </summary>
+        /// <param name="additionalProperties"> Additional Properties. </param>
+        /// <returns> A new <see cref="Models.ConfusionMatrix"/> instance for mocking. </returns>
+        public static ConfusionMatrix ConfusionMatrix(IReadOnlyDictionary<string, BinaryData> additionalProperties = null)
+        {
+            additionalProperties ??= new Dictionary<string, BinaryData>();
+
+            return new ConfusionMatrix(additionalProperties);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ConfusionMatrixRow"/>. </summary>
+        /// <param name="additionalProperties"> Additional Properties. </param>
+        /// <returns> A new <see cref="Models.ConfusionMatrixRow"/> instance for mocking. </returns>
+        public static ConfusionMatrixRow ConfusionMatrixRow(IReadOnlyDictionary<string, BinaryData> additionalProperties = null)
+        {
+            additionalProperties ??= new Dictionary<string, BinaryData>();
+
+            return new ConfusionMatrixRow(additionalProperties);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ConfusionMatrixCell"/>. </summary>
+        /// <param name="normalizedValue"> Represents normalized value in percentages. </param>
+        /// <param name="rawValue"> Represents raw value. </param>
+        /// <returns> A new <see cref="Models.ConfusionMatrixCell"/> instance for mocking. </returns>
+        public static ConfusionMatrixCell ConfusionMatrixCell(float normalizedValue = default, float rawValue = default)
+        {
+            return new ConfusionMatrixCell(normalizedValue, rawValue, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.EntityEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        /// <returns> A new <see cref="Models.EntityEvaluationSummary"/> instance for mocking. </returns>
+        public static EntityEvaluationSummary EntityEvaluationSummary(double f1 = default, double precision = default, double recall = default, int truePositiveCount = default, int trueNegativeCount = default, int falsePositiveCount = default, int falseNegativeCount = default)
+        {
+            return new EntityEvaluationSummary(
+                f1,
+                precision,
+                recall,
+                truePositiveCount,
+                trueNegativeCount,
+                falsePositiveCount,
+                falseNegativeCount,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.CustomHealthcareEvaluationSummary"/>. </summary>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="customHealthcareEvaluation"> Contains the data related to health care evaluation. </param>
+        /// <returns> A new <see cref="Models.CustomHealthcareEvaluationSummary"/> instance for mocking. </returns>
+        public static CustomHealthcareEvaluationSummary CustomHealthcareEvaluationSummary(EvaluationConfig evaluationOptions = null, EntityRecognitionEvaluationSummary customHealthcareEvaluation = null)
+        {
+            return new CustomHealthcareEvaluationSummary(ProjectKind.CustomHealthcare, evaluationOptions, serializedAdditionalRawData: null, customHealthcareEvaluation);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.CustomMultiLabelClassificationEvaluationSummary"/>. </summary>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="customMultiLabelClassificationEvaluation"> Contains the data related to multi label classification evaluation. </param>
+        /// <returns> A new <see cref="Models.CustomMultiLabelClassificationEvaluationSummary"/> instance for mocking. </returns>
+        public static CustomMultiLabelClassificationEvaluationSummary CustomMultiLabelClassificationEvaluationSummary(EvaluationConfig evaluationOptions = null, MultiLabelClassificationEvaluationSummary customMultiLabelClassificationEvaluation = null)
+        {
+            return new CustomMultiLabelClassificationEvaluationSummary(ProjectKind.CustomMultiLabelClassification, evaluationOptions, serializedAdditionalRawData: null, customMultiLabelClassificationEvaluation);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.MultiLabelClassificationEvaluationSummary"/>. </summary>
+        /// <param name="classes"> Represents the classes evaluation. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <returns> A new <see cref="Models.MultiLabelClassificationEvaluationSummary"/> instance for mocking. </returns>
+        public static MultiLabelClassificationEvaluationSummary MultiLabelClassificationEvaluationSummary(IReadOnlyDictionary<string, MultiLabelClassEvaluationSummary> classes = null, float microF1 = default, float microPrecision = default, float microRecall = default, float macroF1 = default, float macroPrecision = default, float macroRecall = default)
+        {
+            classes ??= new Dictionary<string, MultiLabelClassEvaluationSummary>();
+
+            return new MultiLabelClassificationEvaluationSummary(
+                classes,
+                microF1,
+                microPrecision,
+                microRecall,
+                macroF1,
+                macroPrecision,
+                macroRecall,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.MultiLabelClassEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        /// <returns> A new <see cref="Models.MultiLabelClassEvaluationSummary"/> instance for mocking. </returns>
+        public static MultiLabelClassEvaluationSummary MultiLabelClassEvaluationSummary(double f1 = default, double precision = default, double recall = default, int truePositiveCount = default, int trueNegativeCount = default, int falsePositiveCount = default, int falseNegativeCount = default)
+        {
+            return new MultiLabelClassEvaluationSummary(
+                f1,
+                precision,
+                recall,
+                truePositiveCount,
+                trueNegativeCount,
+                falsePositiveCount,
+                falseNegativeCount,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.CustomSingleLabelClassificationEvaluationSummary"/>. </summary>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="customSingleLabelClassificationEvaluation"> Contains the data related to single label classification evaluation. </param>
+        /// <returns> A new <see cref="Models.CustomSingleLabelClassificationEvaluationSummary"/> instance for mocking. </returns>
+        public static CustomSingleLabelClassificationEvaluationSummary CustomSingleLabelClassificationEvaluationSummary(EvaluationConfig evaluationOptions = null, SingleLabelClassificationEvaluationSummary customSingleLabelClassificationEvaluation = null)
+        {
+            return new CustomSingleLabelClassificationEvaluationSummary(ProjectKind.CustomSingleLabelClassification, evaluationOptions, serializedAdditionalRawData: null, customSingleLabelClassificationEvaluation);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.SingleLabelClassificationEvaluationSummary"/>. </summary>
+        /// <param name="confusionMatrix">
+        /// Represents the confusion matrix between two classes (the two classes can be the
+        /// same). The matrix is between the class that was labelled and the class that was
+        /// predicted.
+        /// </param>
+        /// <param name="classes"> Represents the classes evaluation. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <returns> A new <see cref="Models.SingleLabelClassificationEvaluationSummary"/> instance for mocking. </returns>
+        public static SingleLabelClassificationEvaluationSummary SingleLabelClassificationEvaluationSummary(ConfusionMatrix confusionMatrix = null, IReadOnlyDictionary<string, SingleLabelClassEvaluationSummary> classes = null, float microF1 = default, float microPrecision = default, float microRecall = default, float macroF1 = default, float macroPrecision = default, float macroRecall = default)
+        {
+            classes ??= new Dictionary<string, SingleLabelClassEvaluationSummary>();
+
+            return new SingleLabelClassificationEvaluationSummary(
+                confusionMatrix,
+                classes,
+                microF1,
+                microPrecision,
+                microRecall,
+                macroF1,
+                macroPrecision,
+                macroRecall,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.SingleLabelClassEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        /// <returns> A new <see cref="Models.SingleLabelClassEvaluationSummary"/> instance for mocking. </returns>
+        public static SingleLabelClassEvaluationSummary SingleLabelClassEvaluationSummary(double f1 = default, double precision = default, double recall = default, int truePositiveCount = default, int trueNegativeCount = default, int falsePositiveCount = default, int falseNegativeCount = default)
+        {
+            return new SingleLabelClassEvaluationSummary(
+                f1,
+                precision,
+                recall,
+                truePositiveCount,
+                trueNegativeCount,
+                falsePositiveCount,
+                falseNegativeCount,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.CustomTextSentimentEvaluationSummary"/>. </summary>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="customTextSentimentEvaluation"> Contains the data related to custom sentiment evaluation. </param>
+        /// <returns> A new <see cref="Models.CustomTextSentimentEvaluationSummary"/> instance for mocking. </returns>
+        public static CustomTextSentimentEvaluationSummary CustomTextSentimentEvaluationSummary(EvaluationConfig evaluationOptions = null, TextSentimentEvaluationSummary customTextSentimentEvaluation = null)
+        {
+            return new CustomTextSentimentEvaluationSummary(ProjectKind.CustomTextSentiment, evaluationOptions, serializedAdditionalRawData: null, customTextSentimentEvaluation);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.TextSentimentEvaluationSummary"/>. </summary>
+        /// <param name="spanSentimentsEvaluation"> Represents evaluation of span level sentiments. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <returns> A new <see cref="Models.TextSentimentEvaluationSummary"/> instance for mocking. </returns>
+        public static TextSentimentEvaluationSummary TextSentimentEvaluationSummary(SpanSentimentEvaluationSummary spanSentimentsEvaluation = null, float microF1 = default, float microPrecision = default, float microRecall = default, float macroF1 = default, float macroPrecision = default, float macroRecall = default)
+        {
+            return new TextSentimentEvaluationSummary(
+                spanSentimentsEvaluation,
+                microF1,
+                microPrecision,
+                microRecall,
+                macroF1,
+                macroPrecision,
+                macroRecall,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.SpanSentimentEvaluationSummary"/>. </summary>
+        /// <param name="confusionMatrix">
+        /// Represents the confusion matrix between two sentiments (the two sentiments can
+        /// be the same). The matrix is between the sentiment that was labelled and the
+        /// sentiment that was predicted.
+        /// </param>
+        /// <param name="sentiments"> Represents the sentiment evaluation. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <returns> A new <see cref="Models.SpanSentimentEvaluationSummary"/> instance for mocking. </returns>
+        public static SpanSentimentEvaluationSummary SpanSentimentEvaluationSummary(ConfusionMatrix confusionMatrix = null, IReadOnlyDictionary<string, SentimentEvaluationSummary> sentiments = null, float microF1 = default, float microPrecision = default, float microRecall = default, float macroF1 = default, float macroPrecision = default, float macroRecall = default)
+        {
+            sentiments ??= new Dictionary<string, SentimentEvaluationSummary>();
+
+            return new SpanSentimentEvaluationSummary(
+                confusionMatrix,
+                sentiments,
+                microF1,
+                microPrecision,
+                microRecall,
+                macroF1,
+                macroPrecision,
+                macroRecall,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.SentimentEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        /// <returns> A new <see cref="Models.SentimentEvaluationSummary"/> instance for mocking. </returns>
+        public static SentimentEvaluationSummary SentimentEvaluationSummary(double f1 = default, double precision = default, double recall = default, int truePositiveCount = default, int trueNegativeCount = default, int falsePositiveCount = default, int falseNegativeCount = default)
+        {
+            return new SentimentEvaluationSummary(
+                f1,
+                precision,
+                recall,
+                truePositiveCount,
+                trueNegativeCount,
+                falsePositiveCount,
+                falseNegativeCount,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetLoadSnapshotStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetLoadSnapshotStatusResponse"/> instance for mocking. </returns>
+        public static GetLoadSnapshotStatusResponse GetLoadSnapshotStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<TextAnalysisAuthoringWarning> warnings = null, IEnumerable<TextAnalysisAuthoringError> errors = null)
+        {
+            warnings ??= new List<TextAnalysisAuthoringWarning>();
+            errors ??= new List<TextAnalysisAuthoringError>();
+
+            return new GetLoadSnapshotStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.AssignedDeploymentResource"/>. </summary>
+        /// <param name="azureResourceId"> The resource ID. </param>
+        /// <param name="region"> The resource region. </param>
+        /// <returns> A new <see cref="Models.AssignedDeploymentResource"/> instance for mocking. </returns>
+        public static AssignedDeploymentResource AssignedDeploymentResource(string azureResourceId = null, string region = null)
+        {
+            return new AssignedDeploymentResource(azureResourceId, region, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetAssignDeploymentResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetAssignDeploymentResourcesStatusResponse"/> instance for mocking. </returns>
+        public static GetAssignDeploymentResourcesStatusResponse GetAssignDeploymentResourcesStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<TextAnalysisAuthoringWarning> warnings = null, IEnumerable<TextAnalysisAuthoringError> errors = null)
+        {
+            warnings ??= new List<TextAnalysisAuthoringWarning>();
+            errors ??= new List<TextAnalysisAuthoringError>();
+
+            return new GetAssignDeploymentResourcesStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetUnassignDeploymentResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetUnassignDeploymentResourcesStatusResponse"/> instance for mocking. </returns>
+        public static GetUnassignDeploymentResourcesStatusResponse GetUnassignDeploymentResourcesStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<TextAnalysisAuthoringWarning> warnings = null, IEnumerable<TextAnalysisAuthoringError> errors = null)
+        {
+            warnings ??= new List<TextAnalysisAuthoringWarning>();
+            errors ??= new List<TextAnalysisAuthoringError>();
+
+            return new GetUnassignDeploymentResourcesStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetTrainingStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="result"> Represents training tasks detailed result. </param>
+        /// <returns> A new <see cref="Models.GetTrainingStatusResponse"/> instance for mocking. </returns>
+        public static GetTrainingStatusResponse GetTrainingStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<TextAnalysisAuthoringWarning> warnings = null, IEnumerable<TextAnalysisAuthoringError> errors = null, TrainingJobResult result = null)
+        {
+            warnings ??= new List<TextAnalysisAuthoringWarning>();
+            errors ??= new List<TextAnalysisAuthoringError>();
+
+            return new GetTrainingStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                result,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetProjectDeletionStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetProjectDeletionStatusResponse"/> instance for mocking. </returns>
+        public static GetProjectDeletionStatusResponse GetProjectDeletionStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<TextAnalysisAuthoringWarning> warnings = null, IEnumerable<TextAnalysisAuthoringError> errors = null)
+        {
+            warnings ??= new List<TextAnalysisAuthoringWarning>();
+            errors ??= new List<TextAnalysisAuthoringError>();
+
+            return new GetProjectDeletionStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.AssignedProjectDeploymentsMetadata"/>. </summary>
+        /// <param name="projectName"> Represents the project name. </param>
+        /// <param name="deploymentsMetadata"> Represents the resource region. </param>
+        /// <returns> A new <see cref="Models.AssignedProjectDeploymentsMetadata"/> instance for mocking. </returns>
+        public static AssignedProjectDeploymentsMetadata AssignedProjectDeploymentsMetadata(string projectName = null, IEnumerable<AssignedProjectDeploymentMetadata> deploymentsMetadata = null)
+        {
+            deploymentsMetadata ??= new List<AssignedProjectDeploymentMetadata>();
+
+            return new AssignedProjectDeploymentsMetadata(projectName, deploymentsMetadata?.ToList(), serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.AssignedProjectDeploymentMetadata"/>. </summary>
+        /// <param name="deploymentName"> Represents the deployment name. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <returns> A new <see cref="Models.AssignedProjectDeploymentMetadata"/> instance for mocking. </returns>
+        public static AssignedProjectDeploymentMetadata AssignedProjectDeploymentMetadata(string deploymentName = null, DateTimeOffset lastDeployedDateTime = default, DateTimeOffset deploymentExpirationDate = default)
+        {
+            return new AssignedProjectDeploymentMetadata(deploymentName, lastDeployedDateTime, deploymentExpirationDate, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.SupportedLanguage"/>. </summary>
+        /// <param name="languageName"> The language name. </param>
+        /// <param name="languageCode">
+        /// The language code. This is BCP-47 representation of a language. For example,
+        /// "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <returns> A new <see cref="Models.SupportedLanguage"/> instance for mocking. </returns>
+        public static SupportedLanguage SupportedLanguage(string languageName = null, string languageCode = null)
+        {
+            return new SupportedLanguage(languageName, languageCode, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.PrebuiltEntity"/>. </summary>
+        /// <param name="category"> The prebuilt entity category. </param>
+        /// <param name="description"> The description. </param>
+        /// <param name="examples"> English examples for the entity. </param>
+        /// <returns> A new <see cref="Models.PrebuiltEntity"/> instance for mocking. </returns>
+        public static PrebuiltEntity PrebuiltEntity(string category = null, string description = null, string examples = null)
+        {
+            return new PrebuiltEntity(category, description, examples, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.TrainingConfigVersion"/>. </summary>
+        /// <param name="trainingConfigVersionProperty"> Represents the version of the config. </param>
+        /// <param name="modelExpirationDate"> Represents the training config version expiration date. </param>
+        /// <returns> A new <see cref="Models.TrainingConfigVersion"/> instance for mocking. </returns>
+        public static TrainingConfigVersion TrainingConfigVersion(string trainingConfigVersionProperty = null, DateTimeOffset modelExpirationDate = default)
+        {
+            return new TrainingConfigVersion(trainingConfigVersionProperty, modelExpirationDate, serializedAdditionalRawData: null);
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/AnalyzetextClient.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/AnalyzetextClient.cs
new file mode 100644
index 000000000000..2c4451695389
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/AnalyzetextClient.cs
@@ -0,0 +1,115 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using Azure.Core;
+using Azure.Core.Pipeline;
+
+namespace Azure.AI.Language.Authoring.Analyzetext
+{
+    // Data plane generated client.
+    /// <summary>
+    /// The language service API is a suite of natural language processing (NLP) skills
+    /// built with best-in-class Microsoft machine learning algorithms. The API can be
+    /// used to analyze unstructured text for tasks such as sentiment analysis, key
+    /// phrase extraction, language detection and question answering. Further
+    /// documentation can be found in &lt;a
+    /// href="https://docs.microsoft.com/en-us/azure/cognitive-services/language-service/overview"&gt;https://docs.microsoft.com/en-us/azure/cognitive-services/language-service/overview&lt;/a&gt;.
+    /// </summary>
+    public partial class AnalyzetextClient
+    {
+        private const string AuthorizationHeader = "Ocp-Apim-Subscription-Key";
+        private readonly AzureKeyCredential _keyCredential;
+        private static readonly string[] AuthorizationScopes = new string[] { "https://cognitiveservices.azure.com/.default" };
+        private readonly TokenCredential _tokenCredential;
+        private readonly HttpPipeline _pipeline;
+        private readonly Uri _endpoint;
+
+        /// <summary> The ClientDiagnostics is used to provide tracing support for the client library. </summary>
+        internal ClientDiagnostics ClientDiagnostics { get; }
+
+        /// <summary> The HTTP pipeline for sending and receiving REST requests and responses. </summary>
+        public virtual HttpPipeline Pipeline => _pipeline;
+
+        /// <summary> Initializes a new instance of AnalyzetextClient for mocking. </summary>
+        protected AnalyzetextClient()
+        {
+        }
+
+        /// <summary> Initializes a new instance of AnalyzetextClient. </summary>
+        /// <param name="endpoint">
+        /// Supported Cognitive Services endpoint (e.g.,
+        /// https://&lt;resource-name&gt;.api.cognitiveservices.azure.com).
+        /// </param>
+        /// <param name="credential"> A credential used to authenticate to an Azure Service. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="endpoint"/> or <paramref name="credential"/> is null. </exception>
+        public AnalyzetextClient(Uri endpoint, AzureKeyCredential credential) : this(endpoint, credential, new AnalyzetextClientOptions())
+        {
+        }
+
+        /// <summary> Initializes a new instance of AnalyzetextClient. </summary>
+        /// <param name="endpoint">
+        /// Supported Cognitive Services endpoint (e.g.,
+        /// https://&lt;resource-name&gt;.api.cognitiveservices.azure.com).
+        /// </param>
+        /// <param name="credential"> A credential used to authenticate to an Azure Service. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="endpoint"/> or <paramref name="credential"/> is null. </exception>
+        public AnalyzetextClient(Uri endpoint, TokenCredential credential) : this(endpoint, credential, new AnalyzetextClientOptions())
+        {
+        }
+
+        /// <summary> Initializes a new instance of AnalyzetextClient. </summary>
+        /// <param name="endpoint">
+        /// Supported Cognitive Services endpoint (e.g.,
+        /// https://&lt;resource-name&gt;.api.cognitiveservices.azure.com).
+        /// </param>
+        /// <param name="credential"> A credential used to authenticate to an Azure Service. </param>
+        /// <param name="options"> The options for configuring the client. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="endpoint"/> or <paramref name="credential"/> is null. </exception>
+        public AnalyzetextClient(Uri endpoint, AzureKeyCredential credential, AnalyzetextClientOptions options)
+        {
+            Argument.AssertNotNull(endpoint, nameof(endpoint));
+            Argument.AssertNotNull(credential, nameof(credential));
+            options ??= new AnalyzetextClientOptions();
+
+            ClientDiagnostics = new ClientDiagnostics(options, true);
+            _keyCredential = credential;
+            _pipeline = HttpPipelineBuilder.Build(options, Array.Empty<HttpPipelinePolicy>(), new HttpPipelinePolicy[] { new AzureKeyCredentialPolicy(_keyCredential, AuthorizationHeader) }, new ResponseClassifier());
+            _endpoint = endpoint;
+        }
+
+        /// <summary> Initializes a new instance of AnalyzetextClient. </summary>
+        /// <param name="endpoint">
+        /// Supported Cognitive Services endpoint (e.g.,
+        /// https://&lt;resource-name&gt;.api.cognitiveservices.azure.com).
+        /// </param>
+        /// <param name="credential"> A credential used to authenticate to an Azure Service. </param>
+        /// <param name="options"> The options for configuring the client. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="endpoint"/> or <paramref name="credential"/> is null. </exception>
+        public AnalyzetextClient(Uri endpoint, TokenCredential credential, AnalyzetextClientOptions options)
+        {
+            Argument.AssertNotNull(endpoint, nameof(endpoint));
+            Argument.AssertNotNull(credential, nameof(credential));
+            options ??= new AnalyzetextClientOptions();
+
+            ClientDiagnostics = new ClientDiagnostics(options, true);
+            _tokenCredential = credential;
+            _pipeline = HttpPipelineBuilder.Build(options, Array.Empty<HttpPipelinePolicy>(), new HttpPipelinePolicy[] { new BearerTokenAuthenticationPolicy(_tokenCredential, AuthorizationScopes) }, new ResponseClassifier());
+            _endpoint = endpoint;
+        }
+
+        /// <summary> Initializes a new instance of TextAnalysisAuthoring. </summary>
+        /// <param name="apiVersion"> The API version to use for this operation. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="apiVersion"/> is null. </exception>
+        public virtual TextAnalysisAuthoring GetTextAnalysisAuthoringClient(string apiVersion = "2024-11-15-preview")
+        {
+            Argument.AssertNotNull(apiVersion, nameof(apiVersion));
+
+            return new TextAnalysisAuthoring(ClientDiagnostics, _pipeline, _keyCredential, _tokenCredential, _endpoint, apiVersion);
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/AnalyzetextClientOptions.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/AnalyzetextClientOptions.cs
new file mode 100644
index 000000000000..5e1ecd6ed253
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/AnalyzetextClientOptions.cs
@@ -0,0 +1,43 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext
+{
+    /// <summary> Client options for AnalyzetextClient. </summary>
+    public partial class AnalyzetextClientOptions : ClientOptions
+    {
+        private const ServiceVersion LatestVersion = ServiceVersion.V2024_11_15_Preview;
+
+        /// <summary> The version of the service to use. </summary>
+        public enum ServiceVersion
+        {
+            /// <summary> Service version "2023-04-01". </summary>
+            V2023_04_01 = 1,
+            /// <summary> Service version "2023-04-15-preview". </summary>
+            V2023_04_15_Preview = 2,
+            /// <summary> Service version "2024-11-15-preview". </summary>
+            V2024_11_15_Preview = 3,
+        }
+
+        internal string Version { get; }
+
+        /// <summary> Initializes new instance of AnalyzetextClientOptions. </summary>
+        public AnalyzetextClientOptions(ServiceVersion version = LatestVersion)
+        {
+            Version = version switch
+            {
+                ServiceVersion.V2023_04_01 => "2023-04-01",
+                ServiceVersion.V2023_04_15_Preview => "2023-04-15-preview",
+                ServiceVersion.V2024_11_15_Preview => "2024-11-15-preview",
+                _ => throw new NotSupportedException()
+            };
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Docs/TextAnalysisAuthoring.xml b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Docs/TextAnalysisAuthoring.xml
new file mode 100644
index 000000000000..92c531be89a0
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Docs/TextAnalysisAuthoring.xml
@@ -0,0 +1,5717 @@
+<?xml version="1.0" encoding="utf-8"?>
+<doc>
+  <members>
+    <member name="GetProjectAsync(string,CancellationToken)">
+      <example>
+This sample shows how to call GetProjectAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetProjectResponse> response = await client.GetProjectAsync("<projectName>");
+]]></code>
+This sample shows how to call GetProjectAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetProjectResponse> response = await client.GetProjectAsync("<projectName>");
+]]></code></example>
+    </member>
+    <member name="GetProject(string,CancellationToken)">
+      <example>
+This sample shows how to call GetProject.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetProjectResponse> response = client.GetProject("<projectName>");
+]]></code>
+This sample shows how to call GetProject with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetProjectResponse> response = client.GetProject("<projectName>");
+]]></code></example>
+    </member>
+    <member name="GetProjectAsync(string,RequestContext)">
+      <example>
+This sample shows how to call GetProjectAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetProjectAsync("<projectName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+Console.WriteLine(result.GetProperty("language").ToString());
+]]></code>
+This sample shows how to call GetProjectAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetProjectAsync("<projectName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("amlProjectPath").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("isLabelingLocked").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("runGptPredictions").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("gptPredictiveLookahead").ToString());
+Console.WriteLine(result.GetProperty("multilingual").ToString());
+Console.WriteLine(result.GetProperty("description").ToString());
+Console.WriteLine(result.GetProperty("language").ToString());
+]]></code></example>
+    </member>
+    <member name="GetProject(string,RequestContext)">
+      <example>
+This sample shows how to call GetProject and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetProject("<projectName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+Console.WriteLine(result.GetProperty("language").ToString());
+]]></code>
+This sample shows how to call GetProject with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetProject("<projectName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("amlProjectPath").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("isLabelingLocked").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("runGptPredictions").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("gptPredictiveLookahead").ToString());
+Console.WriteLine(result.GetProperty("multilingual").ToString());
+Console.WriteLine(result.GetProperty("description").ToString());
+Console.WriteLine(result.GetProperty("language").ToString());
+]]></code></example>
+    </member>
+    <member name="CreateProjectAsync(string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call CreateProjectAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "CustomSingleLabelClassification",
+    storageInputContainerName = "<storageInputContainerName>",
+    projectName = "<projectName>",
+    language = "<language>",
+});
+Response response = await client.CreateProjectAsync("<projectName>", content);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+Console.WriteLine(result.GetProperty("language").ToString());
+]]></code>
+This sample shows how to call CreateProjectAsync with all parameters and request content and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "CustomSingleLabelClassification",
+    storageInputContainerName = "<storageInputContainerName>",
+    settings = new
+    {
+        confidenceThreshold = 123.45F,
+        amlProjectPath = "<amlProjectPath>",
+        isLabelingLocked = true,
+        runGptPredictions = true,
+        gptPredictiveLookahead = 1234,
+    },
+    projectName = "<projectName>",
+    multilingual = true,
+    description = "<description>",
+    language = "<language>",
+});
+Response response = await client.CreateProjectAsync("<projectName>", content);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("amlProjectPath").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("isLabelingLocked").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("runGptPredictions").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("gptPredictiveLookahead").ToString());
+Console.WriteLine(result.GetProperty("multilingual").ToString());
+Console.WriteLine(result.GetProperty("description").ToString());
+Console.WriteLine(result.GetProperty("language").ToString());
+]]></code></example>
+    </member>
+    <member name="CreateProject(string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call CreateProject and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "CustomSingleLabelClassification",
+    storageInputContainerName = "<storageInputContainerName>",
+    projectName = "<projectName>",
+    language = "<language>",
+});
+Response response = client.CreateProject("<projectName>", content);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+Console.WriteLine(result.GetProperty("language").ToString());
+]]></code>
+This sample shows how to call CreateProject with all parameters and request content and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "CustomSingleLabelClassification",
+    storageInputContainerName = "<storageInputContainerName>",
+    settings = new
+    {
+        confidenceThreshold = 123.45F,
+        amlProjectPath = "<amlProjectPath>",
+        isLabelingLocked = true,
+        runGptPredictions = true,
+        gptPredictiveLookahead = 1234,
+    },
+    projectName = "<projectName>",
+    multilingual = true,
+    description = "<description>",
+    language = "<language>",
+});
+Response response = client.CreateProject("<projectName>", content);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("amlProjectPath").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("isLabelingLocked").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("runGptPredictions").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("gptPredictiveLookahead").ToString());
+Console.WriteLine(result.GetProperty("multilingual").ToString());
+Console.WriteLine(result.GetProperty("description").ToString());
+Console.WriteLine(result.GetProperty("language").ToString());
+]]></code></example>
+    </member>
+    <member name="CopyProjectAuthorizationAsync(string,ProjectKind,string,bool?,CancellationToken)">
+      <example>
+This sample shows how to call CopyProjectAuthorizationAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<CopyProjectConfig> response = await client.CopyProjectAuthorizationAsync("<projectName>", ProjectKind.CustomSingleLabelClassification);
+]]></code>
+This sample shows how to call CopyProjectAuthorizationAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<CopyProjectConfig> response = await client.CopyProjectAuthorizationAsync("<projectName>", ProjectKind.CustomSingleLabelClassification, storageInputContainerName: "<storageInputContainerName>", allowOverwrite: true);
+]]></code></example>
+    </member>
+    <member name="CopyProjectAuthorization(string,ProjectKind,string,bool?,CancellationToken)">
+      <example>
+This sample shows how to call CopyProjectAuthorization.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<CopyProjectConfig> response = client.CopyProjectAuthorization("<projectName>", ProjectKind.CustomSingleLabelClassification);
+]]></code>
+This sample shows how to call CopyProjectAuthorization with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<CopyProjectConfig> response = client.CopyProjectAuthorization("<projectName>", ProjectKind.CustomSingleLabelClassification, storageInputContainerName: "<storageInputContainerName>", allowOverwrite: true);
+]]></code></example>
+    </member>
+    <member name="CopyProjectAuthorizationAsync(string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call CopyProjectAuthorizationAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "CustomSingleLabelClassification",
+});
+Response response = await client.CopyProjectAuthorizationAsync("<projectName>", content);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("targetProjectName").ToString());
+Console.WriteLine(result.GetProperty("accessToken").ToString());
+Console.WriteLine(result.GetProperty("expiresAt").ToString());
+Console.WriteLine(result.GetProperty("targetResourceId").ToString());
+Console.WriteLine(result.GetProperty("targetResourceRegion").ToString());
+]]></code>
+This sample shows how to call CopyProjectAuthorizationAsync with all parameters and request content and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "CustomSingleLabelClassification",
+    storageInputContainerName = "<storageInputContainerName>",
+    allowOverwrite = true,
+});
+Response response = await client.CopyProjectAuthorizationAsync("<projectName>", content);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("targetProjectName").ToString());
+Console.WriteLine(result.GetProperty("accessToken").ToString());
+Console.WriteLine(result.GetProperty("expiresAt").ToString());
+Console.WriteLine(result.GetProperty("targetResourceId").ToString());
+Console.WriteLine(result.GetProperty("targetResourceRegion").ToString());
+]]></code></example>
+    </member>
+    <member name="CopyProjectAuthorization(string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call CopyProjectAuthorization and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "CustomSingleLabelClassification",
+});
+Response response = client.CopyProjectAuthorization("<projectName>", content);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("targetProjectName").ToString());
+Console.WriteLine(result.GetProperty("accessToken").ToString());
+Console.WriteLine(result.GetProperty("expiresAt").ToString());
+Console.WriteLine(result.GetProperty("targetResourceId").ToString());
+Console.WriteLine(result.GetProperty("targetResourceRegion").ToString());
+]]></code>
+This sample shows how to call CopyProjectAuthorization with all parameters and request content and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "CustomSingleLabelClassification",
+    storageInputContainerName = "<storageInputContainerName>",
+    allowOverwrite = true,
+});
+Response response = client.CopyProjectAuthorization("<projectName>", content);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("targetProjectName").ToString());
+Console.WriteLine(result.GetProperty("accessToken").ToString());
+Console.WriteLine(result.GetProperty("expiresAt").ToString());
+Console.WriteLine(result.GetProperty("targetResourceId").ToString());
+Console.WriteLine(result.GetProperty("targetResourceRegion").ToString());
+]]></code></example>
+    </member>
+    <member name="GetCopyProjectStatusAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetCopyProjectStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetCopyProjectStatusResponse> response = await client.GetCopyProjectStatusAsync("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetCopyProjectStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetCopyProjectStatusResponse> response = await client.GetCopyProjectStatusAsync("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetCopyProjectStatus(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetCopyProjectStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetCopyProjectStatusResponse> response = client.GetCopyProjectStatus("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetCopyProjectStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetCopyProjectStatusResponse> response = client.GetCopyProjectStatus("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetCopyProjectStatusAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetCopyProjectStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetCopyProjectStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetCopyProjectStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetCopyProjectStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetCopyProjectStatus(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetCopyProjectStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetCopyProjectStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetCopyProjectStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetCopyProjectStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetDeploymentAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetDeploymentAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentResponse> response = await client.GetDeploymentAsync("<projectName>", "<deploymentName>");
+]]></code>
+This sample shows how to call GetDeploymentAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentResponse> response = await client.GetDeploymentAsync("<projectName>", "<deploymentName>");
+]]></code></example>
+    </member>
+    <member name="GetDeployment(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetDeployment.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentResponse> response = client.GetDeployment("<projectName>", "<deploymentName>");
+]]></code>
+This sample shows how to call GetDeployment with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentResponse> response = client.GetDeployment("<projectName>", "<deploymentName>");
+]]></code></example>
+    </member>
+    <member name="GetDeploymentAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetDeploymentAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetDeploymentAsync("<projectName>", "<deploymentName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+]]></code>
+This sample shows how to call GetDeploymentAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetDeploymentAsync("<projectName>", "<deploymentName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+]]></code></example>
+    </member>
+    <member name="GetDeployment(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetDeployment and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetDeployment("<projectName>", "<deploymentName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+]]></code>
+This sample shows how to call GetDeployment with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetDeployment("<projectName>", "<deploymentName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+]]></code></example>
+    </member>
+    <member name="GetDeploymentDeleteFromResourcesStatusAsync(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetDeploymentDeleteFromResourcesStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentDeleteFromResourcesStatusResponse> response = await client.GetDeploymentDeleteFromResourcesStatusAsync("<projectName>", "<deploymentName>", "<jobId>");
+]]></code>
+This sample shows how to call GetDeploymentDeleteFromResourcesStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentDeleteFromResourcesStatusResponse> response = await client.GetDeploymentDeleteFromResourcesStatusAsync("<projectName>", "<deploymentName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetDeploymentDeleteFromResourcesStatus(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetDeploymentDeleteFromResourcesStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentDeleteFromResourcesStatusResponse> response = client.GetDeploymentDeleteFromResourcesStatus("<projectName>", "<deploymentName>", "<jobId>");
+]]></code>
+This sample shows how to call GetDeploymentDeleteFromResourcesStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentDeleteFromResourcesStatusResponse> response = client.GetDeploymentDeleteFromResourcesStatus("<projectName>", "<deploymentName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetDeploymentDeleteFromResourcesStatusAsync(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetDeploymentDeleteFromResourcesStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetDeploymentDeleteFromResourcesStatusAsync("<projectName>", "<deploymentName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetDeploymentDeleteFromResourcesStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetDeploymentDeleteFromResourcesStatusAsync("<projectName>", "<deploymentName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetDeploymentDeleteFromResourcesStatus(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetDeploymentDeleteFromResourcesStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetDeploymentDeleteFromResourcesStatus("<projectName>", "<deploymentName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetDeploymentDeleteFromResourcesStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetDeploymentDeleteFromResourcesStatus("<projectName>", "<deploymentName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetDeploymentStatusAsync(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetDeploymentStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentStatusResponse> response = await client.GetDeploymentStatusAsync("<projectName>", "<deploymentName>", "<jobId>");
+]]></code>
+This sample shows how to call GetDeploymentStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentStatusResponse> response = await client.GetDeploymentStatusAsync("<projectName>", "<deploymentName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetDeploymentStatus(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetDeploymentStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentStatusResponse> response = client.GetDeploymentStatus("<projectName>", "<deploymentName>", "<jobId>");
+]]></code>
+This sample shows how to call GetDeploymentStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentStatusResponse> response = client.GetDeploymentStatus("<projectName>", "<deploymentName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetDeploymentStatusAsync(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetDeploymentStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetDeploymentStatusAsync("<projectName>", "<deploymentName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetDeploymentStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetDeploymentStatusAsync("<projectName>", "<deploymentName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetDeploymentStatus(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetDeploymentStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetDeploymentStatus("<projectName>", "<deploymentName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetDeploymentStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetDeploymentStatus("<projectName>", "<deploymentName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetSwapDeploymentsStatusAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetSwapDeploymentsStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetSwapDeploymentsStatusResponse> response = await client.GetSwapDeploymentsStatusAsync("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetSwapDeploymentsStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetSwapDeploymentsStatusResponse> response = await client.GetSwapDeploymentsStatusAsync("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetSwapDeploymentsStatus(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetSwapDeploymentsStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetSwapDeploymentsStatusResponse> response = client.GetSwapDeploymentsStatus("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetSwapDeploymentsStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetSwapDeploymentsStatusResponse> response = client.GetSwapDeploymentsStatus("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetSwapDeploymentsStatusAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetSwapDeploymentsStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetSwapDeploymentsStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetSwapDeploymentsStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetSwapDeploymentsStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetSwapDeploymentsStatus(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetSwapDeploymentsStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetSwapDeploymentsStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetSwapDeploymentsStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetSwapDeploymentsStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetExportStatusAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetExportStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportStatusResponse> response = await client.GetExportStatusAsync("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetExportStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportStatusResponse> response = await client.GetExportStatusAsync("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetExportStatus(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetExportStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportStatusResponse> response = client.GetExportStatus("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetExportStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportStatusResponse> response = client.GetExportStatus("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetExportStatusAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetExportStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetExportStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetExportStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetExportStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("resultUrl").ToString());
+]]></code></example>
+    </member>
+    <member name="GetExportStatus(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetExportStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetExportStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetExportStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetExportStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("resultUrl").ToString());
+]]></code></example>
+    </member>
+    <member name="GetExportedModelAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetExportedModelAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportedModelResponse> response = await client.GetExportedModelAsync("<projectName>", "<exportedModelName>");
+]]></code>
+This sample shows how to call GetExportedModelAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportedModelResponse> response = await client.GetExportedModelAsync("<projectName>", "<exportedModelName>");
+]]></code></example>
+    </member>
+    <member name="GetExportedModel(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetExportedModel.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportedModelResponse> response = client.GetExportedModel("<projectName>", "<exportedModelName>");
+]]></code>
+This sample shows how to call GetExportedModel with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportedModelResponse> response = client.GetExportedModel("<projectName>", "<exportedModelName>");
+]]></code></example>
+    </member>
+    <member name="GetExportedModelAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetExportedModelAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetExportedModelAsync("<projectName>", "<exportedModelName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+]]></code>
+This sample shows how to call GetExportedModelAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetExportedModelAsync("<projectName>", "<exportedModelName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+]]></code></example>
+    </member>
+    <member name="GetExportedModel(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetExportedModel and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetExportedModel("<projectName>", "<exportedModelName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+]]></code>
+This sample shows how to call GetExportedModel with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetExportedModel("<projectName>", "<exportedModelName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+]]></code></example>
+    </member>
+    <member name="GetExportedModelJobStatusAsync(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetExportedModelJobStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportedModelJobStatusResponse> response = await client.GetExportedModelJobStatusAsync("<projectName>", "<exportedModelName>", "<jobId>");
+]]></code>
+This sample shows how to call GetExportedModelJobStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportedModelJobStatusResponse> response = await client.GetExportedModelJobStatusAsync("<projectName>", "<exportedModelName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetExportedModelJobStatus(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetExportedModelJobStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportedModelJobStatusResponse> response = client.GetExportedModelJobStatus("<projectName>", "<exportedModelName>", "<jobId>");
+]]></code>
+This sample shows how to call GetExportedModelJobStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportedModelJobStatusResponse> response = client.GetExportedModelJobStatus("<projectName>", "<exportedModelName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetExportedModelJobStatusAsync(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetExportedModelJobStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetExportedModelJobStatusAsync("<projectName>", "<exportedModelName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetExportedModelJobStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetExportedModelJobStatusAsync("<projectName>", "<exportedModelName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetExportedModelJobStatus(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetExportedModelJobStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetExportedModelJobStatus("<projectName>", "<exportedModelName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetExportedModelJobStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetExportedModelJobStatus("<projectName>", "<exportedModelName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetExportedModelManifestAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetExportedModelManifestAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<ExportedModelManifest> response = await client.GetExportedModelManifestAsync("<projectName>", "<exportedModelName>");
+]]></code>
+This sample shows how to call GetExportedModelManifestAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<ExportedModelManifest> response = await client.GetExportedModelManifestAsync("<projectName>", "<exportedModelName>");
+]]></code></example>
+    </member>
+    <member name="GetExportedModelManifest(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetExportedModelManifest.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<ExportedModelManifest> response = client.GetExportedModelManifest("<projectName>", "<exportedModelName>");
+]]></code>
+This sample shows how to call GetExportedModelManifest with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<ExportedModelManifest> response = client.GetExportedModelManifest("<projectName>", "<exportedModelName>");
+]]></code></example>
+    </member>
+    <member name="GetExportedModelManifestAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetExportedModelManifestAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetExportedModelManifestAsync("<projectName>", "<exportedModelName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelFiles")[0].GetProperty("name").ToString());
+Console.WriteLine(result.GetProperty("modelFiles")[0].GetProperty("contentUri").ToString());
+]]></code>
+This sample shows how to call GetExportedModelManifestAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetExportedModelManifestAsync("<projectName>", "<exportedModelName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelFiles")[0].GetProperty("name").ToString());
+Console.WriteLine(result.GetProperty("modelFiles")[0].GetProperty("contentUri").ToString());
+]]></code></example>
+    </member>
+    <member name="GetExportedModelManifest(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetExportedModelManifest and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetExportedModelManifest("<projectName>", "<exportedModelName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelFiles")[0].GetProperty("name").ToString());
+Console.WriteLine(result.GetProperty("modelFiles")[0].GetProperty("contentUri").ToString());
+]]></code>
+This sample shows how to call GetExportedModelManifest with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetExportedModelManifest("<projectName>", "<exportedModelName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelFiles")[0].GetProperty("name").ToString());
+Console.WriteLine(result.GetProperty("modelFiles")[0].GetProperty("contentUri").ToString());
+]]></code></example>
+    </member>
+    <member name="GetImportStatusAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetImportStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetImportStatusResponse> response = await client.GetImportStatusAsync("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetImportStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetImportStatusResponse> response = await client.GetImportStatusAsync("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetImportStatus(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetImportStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetImportStatusResponse> response = client.GetImportStatus("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetImportStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetImportStatusResponse> response = client.GetImportStatus("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetImportStatusAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetImportStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetImportStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetImportStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetImportStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetImportStatus(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetImportStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetImportStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetImportStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetImportStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetTrainedModelAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainedModelAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetTrainedModelResponse> response = await client.GetTrainedModelAsync("<projectName>", "<trainedModelLabel>");
+]]></code>
+This sample shows how to call GetTrainedModelAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetTrainedModelResponse> response = await client.GetTrainedModelAsync("<projectName>", "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="GetTrainedModel(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainedModel.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetTrainedModelResponse> response = client.GetTrainedModel("<projectName>", "<trainedModelLabel>");
+]]></code>
+This sample shows how to call GetTrainedModel with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetTrainedModelResponse> response = client.GetTrainedModel("<projectName>", "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="GetTrainedModelAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetTrainedModelAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetTrainedModelAsync("<projectName>", "<trainedModelLabel>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+]]></code>
+This sample shows how to call GetTrainedModelAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetTrainedModelAsync("<projectName>", "<trainedModelLabel>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+]]></code></example>
+    </member>
+    <member name="GetTrainedModel(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetTrainedModel and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetTrainedModel("<projectName>", "<trainedModelLabel>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+]]></code>
+This sample shows how to call GetTrainedModel with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetTrainedModel("<projectName>", "<trainedModelLabel>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+]]></code></example>
+    </member>
+    <member name="DeleteTrainedModelAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call DeleteTrainedModelAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.DeleteTrainedModelAsync("<projectName>", "<trainedModelLabel>");
+
+Console.WriteLine(response.Status);
+]]></code>
+This sample shows how to call DeleteTrainedModelAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.DeleteTrainedModelAsync("<projectName>", "<trainedModelLabel>");
+
+Console.WriteLine(response.Status);
+]]></code></example>
+    </member>
+    <member name="DeleteTrainedModel(string,string,RequestContext)">
+      <example>
+This sample shows how to call DeleteTrainedModel.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.DeleteTrainedModel("<projectName>", "<trainedModelLabel>");
+
+Console.WriteLine(response.Status);
+]]></code>
+This sample shows how to call DeleteTrainedModel with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.DeleteTrainedModel("<projectName>", "<trainedModelLabel>");
+
+Console.WriteLine(response.Status);
+]]></code></example>
+    </member>
+    <member name="GetEvaluationStatusAsync(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetEvaluationStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetEvaluationStatusResponse> response = await client.GetEvaluationStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>");
+]]></code>
+This sample shows how to call GetEvaluationStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetEvaluationStatusResponse> response = await client.GetEvaluationStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetEvaluationStatus(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetEvaluationStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetEvaluationStatusResponse> response = client.GetEvaluationStatus("<projectName>", "<trainedModelLabel>", "<jobId>");
+]]></code>
+This sample shows how to call GetEvaluationStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetEvaluationStatusResponse> response = client.GetEvaluationStatus("<projectName>", "<trainedModelLabel>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetEvaluationStatusAsync(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetEvaluationStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetEvaluationStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("percentComplete").ToString());
+]]></code>
+This sample shows how to call GetEvaluationStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetEvaluationStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("kind").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("percentComplete").ToString());
+]]></code></example>
+    </member>
+    <member name="GetEvaluationStatus(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetEvaluationStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetEvaluationStatus("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("percentComplete").ToString());
+]]></code>
+This sample shows how to call GetEvaluationStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetEvaluationStatus("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("kind").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("percentComplete").ToString());
+]]></code></example>
+    </member>
+    <member name="GetModelEvaluationSummaryAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetModelEvaluationSummaryAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<EvaluationSummary> response = await client.GetModelEvaluationSummaryAsync("<projectName>", "<trainedModelLabel>");
+]]></code>
+This sample shows how to call GetModelEvaluationSummaryAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<EvaluationSummary> response = await client.GetModelEvaluationSummaryAsync("<projectName>", "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="GetModelEvaluationSummary(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetModelEvaluationSummary.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<EvaluationSummary> response = client.GetModelEvaluationSummary("<projectName>", "<trainedModelLabel>");
+]]></code>
+This sample shows how to call GetModelEvaluationSummary with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<EvaluationSummary> response = client.GetModelEvaluationSummary("<projectName>", "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="GetModelEvaluationSummaryAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetModelEvaluationSummaryAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetModelEvaluationSummaryAsync("<projectName>", "<trainedModelLabel>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").ToString());
+]]></code>
+This sample shows how to call GetModelEvaluationSummaryAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetModelEvaluationSummaryAsync("<projectName>", "<trainedModelLabel>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("kind").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+]]></code></example>
+    </member>
+    <member name="GetModelEvaluationSummary(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetModelEvaluationSummary and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetModelEvaluationSummary("<projectName>", "<trainedModelLabel>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").ToString());
+]]></code>
+This sample shows how to call GetModelEvaluationSummary with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetModelEvaluationSummary("<projectName>", "<trainedModelLabel>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("kind").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+]]></code></example>
+    </member>
+    <member name="GetLoadSnapshotStatusAsync(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetLoadSnapshotStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetLoadSnapshotStatusResponse> response = await client.GetLoadSnapshotStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>");
+]]></code>
+This sample shows how to call GetLoadSnapshotStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetLoadSnapshotStatusResponse> response = await client.GetLoadSnapshotStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetLoadSnapshotStatus(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetLoadSnapshotStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetLoadSnapshotStatusResponse> response = client.GetLoadSnapshotStatus("<projectName>", "<trainedModelLabel>", "<jobId>");
+]]></code>
+This sample shows how to call GetLoadSnapshotStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetLoadSnapshotStatusResponse> response = client.GetLoadSnapshotStatus("<projectName>", "<trainedModelLabel>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetLoadSnapshotStatusAsync(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetLoadSnapshotStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetLoadSnapshotStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetLoadSnapshotStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetLoadSnapshotStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetLoadSnapshotStatus(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetLoadSnapshotStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetLoadSnapshotStatus("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetLoadSnapshotStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetLoadSnapshotStatus("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetAssignDeploymentResourcesStatusAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetAssignDeploymentResourcesStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetAssignDeploymentResourcesStatusResponse> response = await client.GetAssignDeploymentResourcesStatusAsync("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetAssignDeploymentResourcesStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetAssignDeploymentResourcesStatusResponse> response = await client.GetAssignDeploymentResourcesStatusAsync("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetAssignDeploymentResourcesStatus(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetAssignDeploymentResourcesStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetAssignDeploymentResourcesStatusResponse> response = client.GetAssignDeploymentResourcesStatus("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetAssignDeploymentResourcesStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetAssignDeploymentResourcesStatusResponse> response = client.GetAssignDeploymentResourcesStatus("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetAssignDeploymentResourcesStatusAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetAssignDeploymentResourcesStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetAssignDeploymentResourcesStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetAssignDeploymentResourcesStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetAssignDeploymentResourcesStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetAssignDeploymentResourcesStatus(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetAssignDeploymentResourcesStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetAssignDeploymentResourcesStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetAssignDeploymentResourcesStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetAssignDeploymentResourcesStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetUnassignDeploymentResourcesStatusAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetUnassignDeploymentResourcesStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetUnassignDeploymentResourcesStatusResponse> response = await client.GetUnassignDeploymentResourcesStatusAsync("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetUnassignDeploymentResourcesStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetUnassignDeploymentResourcesStatusResponse> response = await client.GetUnassignDeploymentResourcesStatusAsync("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetUnassignDeploymentResourcesStatus(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetUnassignDeploymentResourcesStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetUnassignDeploymentResourcesStatusResponse> response = client.GetUnassignDeploymentResourcesStatus("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetUnassignDeploymentResourcesStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetUnassignDeploymentResourcesStatusResponse> response = client.GetUnassignDeploymentResourcesStatus("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetUnassignDeploymentResourcesStatusAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetUnassignDeploymentResourcesStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetUnassignDeploymentResourcesStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetUnassignDeploymentResourcesStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetUnassignDeploymentResourcesStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetUnassignDeploymentResourcesStatus(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetUnassignDeploymentResourcesStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetUnassignDeploymentResourcesStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetUnassignDeploymentResourcesStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetUnassignDeploymentResourcesStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetTrainingStatusAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainingStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetTrainingStatusResponse> response = await client.GetTrainingStatusAsync("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetTrainingStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetTrainingStatusResponse> response = await client.GetTrainingStatusAsync("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetTrainingStatus(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainingStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetTrainingStatusResponse> response = client.GetTrainingStatus("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetTrainingStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetTrainingStatusResponse> response = client.GetTrainingStatus("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetTrainingStatusAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetTrainingStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetTrainingStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetTrainingStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetTrainingStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("estimatedEndDateTime").ToString());
+]]></code></example>
+    </member>
+    <member name="GetTrainingStatus(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetTrainingStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetTrainingStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetTrainingStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetTrainingStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("estimatedEndDateTime").ToString());
+]]></code></example>
+    </member>
+    <member name="GetProjectDeletionStatusAsync(string,CancellationToken)">
+      <example>
+This sample shows how to call GetProjectDeletionStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetProjectDeletionStatusResponse> response = await client.GetProjectDeletionStatusAsync("<jobId>");
+]]></code>
+This sample shows how to call GetProjectDeletionStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetProjectDeletionStatusResponse> response = await client.GetProjectDeletionStatusAsync("<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetProjectDeletionStatus(string,CancellationToken)">
+      <example>
+This sample shows how to call GetProjectDeletionStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetProjectDeletionStatusResponse> response = client.GetProjectDeletionStatus("<jobId>");
+]]></code>
+This sample shows how to call GetProjectDeletionStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetProjectDeletionStatusResponse> response = client.GetProjectDeletionStatus("<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetProjectDeletionStatusAsync(string,RequestContext)">
+      <example>
+This sample shows how to call GetProjectDeletionStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetProjectDeletionStatusAsync("<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetProjectDeletionStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetProjectDeletionStatusAsync("<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetProjectDeletionStatus(string,RequestContext)">
+      <example>
+This sample shows how to call GetProjectDeletionStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetProjectDeletionStatus("<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetProjectDeletionStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetProjectDeletionStatus("<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetProjectsAsync(int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetProjectsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (ProjectMetadata item in client.GetProjectsAsync())
+{
+}
+]]></code>
+This sample shows how to call GetProjectsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (ProjectMetadata item in client.GetProjectsAsync(maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetProjects(int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetProjects.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (ProjectMetadata item in client.GetProjects())
+{
+}
+]]></code>
+This sample shows how to call GetProjects with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (ProjectMetadata item in client.GetProjects(maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetProjectsAsync(int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetProjectsAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetProjectsAsync(null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("projectKind").ToString());
+    Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+    Console.WriteLine(result.GetProperty("projectName").ToString());
+    Console.WriteLine(result.GetProperty("language").ToString());
+}
+]]></code>
+This sample shows how to call GetProjectsAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetProjectsAsync(1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("projectKind").ToString());
+    Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+    Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+    Console.WriteLine(result.GetProperty("settings").GetProperty("amlProjectPath").ToString());
+    Console.WriteLine(result.GetProperty("settings").GetProperty("isLabelingLocked").ToString());
+    Console.WriteLine(result.GetProperty("settings").GetProperty("runGptPredictions").ToString());
+    Console.WriteLine(result.GetProperty("settings").GetProperty("gptPredictiveLookahead").ToString());
+    Console.WriteLine(result.GetProperty("projectName").ToString());
+    Console.WriteLine(result.GetProperty("multilingual").ToString());
+    Console.WriteLine(result.GetProperty("description").ToString());
+    Console.WriteLine(result.GetProperty("language").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetProjects(int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetProjects and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetProjects(null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("projectKind").ToString());
+    Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+    Console.WriteLine(result.GetProperty("projectName").ToString());
+    Console.WriteLine(result.GetProperty("language").ToString());
+}
+]]></code>
+This sample shows how to call GetProjects with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetProjects(1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("projectKind").ToString());
+    Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+    Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+    Console.WriteLine(result.GetProperty("settings").GetProperty("amlProjectPath").ToString());
+    Console.WriteLine(result.GetProperty("settings").GetProperty("isLabelingLocked").ToString());
+    Console.WriteLine(result.GetProperty("settings").GetProperty("runGptPredictions").ToString());
+    Console.WriteLine(result.GetProperty("settings").GetProperty("gptPredictiveLookahead").ToString());
+    Console.WriteLine(result.GetProperty("projectName").ToString());
+    Console.WriteLine(result.GetProperty("multilingual").ToString());
+    Console.WriteLine(result.GetProperty("description").ToString());
+    Console.WriteLine(result.GetProperty("language").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetDeploymentsAsync(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetDeploymentsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (ProjectDeployment item in client.GetDeploymentsAsync("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetDeploymentsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (ProjectDeployment item in client.GetDeploymentsAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetDeployments(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetDeployments.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (ProjectDeployment item in client.GetDeployments("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetDeployments with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (ProjectDeployment item in client.GetDeployments("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetDeploymentsAsync(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetDeploymentsAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetDeploymentsAsync("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("deploymentName").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+    Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+}
+]]></code>
+This sample shows how to call GetDeploymentsAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetDeploymentsAsync("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("deploymentName").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+    Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetDeployments(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetDeployments and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetDeployments("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("deploymentName").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+    Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+}
+]]></code>
+This sample shows how to call GetDeployments with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetDeployments("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("deploymentName").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+    Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetExportedModelsAsync(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetExportedModelsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (ExportedTrainedModel item in client.GetExportedModelsAsync("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetExportedModelsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (ExportedTrainedModel item in client.GetExportedModelsAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetExportedModels(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetExportedModels.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (ExportedTrainedModel item in client.GetExportedModels("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetExportedModels with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (ExportedTrainedModel item in client.GetExportedModels("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetExportedModelsAsync(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetExportedModelsAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetExportedModelsAsync("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("exportedModelName").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+}
+]]></code>
+This sample shows how to call GetExportedModelsAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetExportedModelsAsync("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("exportedModelName").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetExportedModels(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetExportedModels and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetExportedModels("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("exportedModelName").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+}
+]]></code>
+This sample shows how to call GetExportedModels with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetExportedModels("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("exportedModelName").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainedModelsAsync(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainedModelsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (ProjectTrainedModel item in client.GetTrainedModelsAsync("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetTrainedModelsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (ProjectTrainedModel item in client.GetTrainedModelsAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainedModels(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainedModels.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (ProjectTrainedModel item in client.GetTrainedModels("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetTrainedModels with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (ProjectTrainedModel item in client.GetTrainedModels("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainedModelsAsync(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetTrainedModelsAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetTrainedModelsAsync("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("label").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+}
+]]></code>
+This sample shows how to call GetTrainedModelsAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetTrainedModelsAsync("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("label").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainedModels(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetTrainedModels and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetTrainedModels("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("label").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+}
+]]></code>
+This sample shows how to call GetTrainedModels with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetTrainedModels("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("label").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetModelEvaluationResultsAsync(string,string,StringIndexType,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetModelEvaluationResultsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (DocumentEvaluationResult item in client.GetModelEvaluationResultsAsync("<projectName>", "<trainedModelLabel>", StringIndexType.Utf16CodeUnit))
+{
+}
+]]></code>
+This sample shows how to call GetModelEvaluationResultsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (DocumentEvaluationResult item in client.GetModelEvaluationResultsAsync("<projectName>", "<trainedModelLabel>", StringIndexType.Utf16CodeUnit, maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetModelEvaluationResults(string,string,StringIndexType,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetModelEvaluationResults.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (DocumentEvaluationResult item in client.GetModelEvaluationResults("<projectName>", "<trainedModelLabel>", StringIndexType.Utf16CodeUnit))
+{
+}
+]]></code>
+This sample shows how to call GetModelEvaluationResults with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (DocumentEvaluationResult item in client.GetModelEvaluationResults("<projectName>", "<trainedModelLabel>", StringIndexType.Utf16CodeUnit, maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetModelEvaluationResultsAsync(string,string,string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetModelEvaluationResultsAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetModelEvaluationResultsAsync("<projectName>", "<trainedModelLabel>", "Utf16CodeUnit"))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("projectKind").ToString());
+    Console.WriteLine(result.GetProperty("location").ToString());
+    Console.WriteLine(result.GetProperty("language").ToString());
+}
+]]></code>
+This sample shows how to call GetModelEvaluationResultsAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetModelEvaluationResultsAsync("<projectName>", "<trainedModelLabel>", "Utf16CodeUnit", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("projectKind").ToString());
+    Console.WriteLine(result.GetProperty("location").ToString());
+    Console.WriteLine(result.GetProperty("language").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetModelEvaluationResults(string,string,string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetModelEvaluationResults and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetModelEvaluationResults("<projectName>", "<trainedModelLabel>", "Utf16CodeUnit"))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("projectKind").ToString());
+    Console.WriteLine(result.GetProperty("location").ToString());
+    Console.WriteLine(result.GetProperty("language").ToString());
+}
+]]></code>
+This sample shows how to call GetModelEvaluationResults with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetModelEvaluationResults("<projectName>", "<trainedModelLabel>", "Utf16CodeUnit", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("projectKind").ToString());
+    Console.WriteLine(result.GetProperty("location").ToString());
+    Console.WriteLine(result.GetProperty("language").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetDeploymentResourcesAsync(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetDeploymentResourcesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (AssignedDeploymentResource item in client.GetDeploymentResourcesAsync("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetDeploymentResourcesAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (AssignedDeploymentResource item in client.GetDeploymentResourcesAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetDeploymentResources(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetDeploymentResources.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (AssignedDeploymentResource item in client.GetDeploymentResources("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetDeploymentResources with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (AssignedDeploymentResource item in client.GetDeploymentResources("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetDeploymentResourcesAsync(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetDeploymentResourcesAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetDeploymentResourcesAsync("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("azureResourceId").ToString());
+    Console.WriteLine(result.GetProperty("region").ToString());
+}
+]]></code>
+This sample shows how to call GetDeploymentResourcesAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetDeploymentResourcesAsync("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("azureResourceId").ToString());
+    Console.WriteLine(result.GetProperty("region").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetDeploymentResources(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetDeploymentResources and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetDeploymentResources("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("azureResourceId").ToString());
+    Console.WriteLine(result.GetProperty("region").ToString());
+}
+]]></code>
+This sample shows how to call GetDeploymentResources with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetDeploymentResources("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("azureResourceId").ToString());
+    Console.WriteLine(result.GetProperty("region").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainingJobsAsync(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainingJobsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (TrainingJobState item in client.GetTrainingJobsAsync("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetTrainingJobsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (TrainingJobState item in client.GetTrainingJobsAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainingJobs(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainingJobs.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (TrainingJobState item in client.GetTrainingJobs("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetTrainingJobs with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (TrainingJobState item in client.GetTrainingJobs("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainingJobsAsync(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetTrainingJobsAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetTrainingJobsAsync("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("jobId").ToString());
+    Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("status").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+}
+]]></code>
+This sample shows how to call GetTrainingJobsAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetTrainingJobsAsync("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("jobId").ToString());
+    Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+    Console.WriteLine(result.GetProperty("status").ToString());
+    Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("status").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("estimatedEndDateTime").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainingJobs(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetTrainingJobs and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetTrainingJobs("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("jobId").ToString());
+    Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("status").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+}
+]]></code>
+This sample shows how to call GetTrainingJobs with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetTrainingJobs("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("jobId").ToString());
+    Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+    Console.WriteLine(result.GetProperty("status").ToString());
+    Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("status").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("estimatedEndDateTime").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetAssignedResourceDeploymentsAsync(int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetAssignedResourceDeploymentsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (AssignedProjectDeploymentsMetadata item in client.GetAssignedResourceDeploymentsAsync())
+{
+}
+]]></code>
+This sample shows how to call GetAssignedResourceDeploymentsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (AssignedProjectDeploymentsMetadata item in client.GetAssignedResourceDeploymentsAsync(maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetAssignedResourceDeployments(int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetAssignedResourceDeployments.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (AssignedProjectDeploymentsMetadata item in client.GetAssignedResourceDeployments())
+{
+}
+]]></code>
+This sample shows how to call GetAssignedResourceDeployments with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (AssignedProjectDeploymentsMetadata item in client.GetAssignedResourceDeployments(maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetAssignedResourceDeploymentsAsync(int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetAssignedResourceDeploymentsAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetAssignedResourceDeploymentsAsync(null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("projectName").ToString());
+    Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("deploymentName").ToString());
+    Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("lastDeployedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("deploymentExpirationDate").ToString());
+}
+]]></code>
+This sample shows how to call GetAssignedResourceDeploymentsAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetAssignedResourceDeploymentsAsync(1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("projectName").ToString());
+    Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("deploymentName").ToString());
+    Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("lastDeployedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("deploymentExpirationDate").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetAssignedResourceDeployments(int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetAssignedResourceDeployments and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetAssignedResourceDeployments(null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("projectName").ToString());
+    Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("deploymentName").ToString());
+    Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("lastDeployedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("deploymentExpirationDate").ToString());
+}
+]]></code>
+This sample shows how to call GetAssignedResourceDeployments with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetAssignedResourceDeployments(1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("projectName").ToString());
+    Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("deploymentName").ToString());
+    Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("lastDeployedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("deploymentExpirationDate").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetSupportedLanguagesAsync(ProjectKind?,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetSupportedLanguagesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (SupportedLanguage item in client.GetSupportedLanguagesAsync())
+{
+}
+]]></code>
+This sample shows how to call GetSupportedLanguagesAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (SupportedLanguage item in client.GetSupportedLanguagesAsync(projectKind: ProjectKind.CustomSingleLabelClassification, maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetSupportedLanguages(ProjectKind?,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetSupportedLanguages.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (SupportedLanguage item in client.GetSupportedLanguages())
+{
+}
+]]></code>
+This sample shows how to call GetSupportedLanguages with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (SupportedLanguage item in client.GetSupportedLanguages(projectKind: ProjectKind.CustomSingleLabelClassification, maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetSupportedLanguagesAsync(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetSupportedLanguagesAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetSupportedLanguagesAsync(null, null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("languageName").ToString());
+    Console.WriteLine(result.GetProperty("languageCode").ToString());
+}
+]]></code>
+This sample shows how to call GetSupportedLanguagesAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetSupportedLanguagesAsync("CustomSingleLabelClassification", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("languageName").ToString());
+    Console.WriteLine(result.GetProperty("languageCode").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetSupportedLanguages(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetSupportedLanguages and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetSupportedLanguages(null, null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("languageName").ToString());
+    Console.WriteLine(result.GetProperty("languageCode").ToString());
+}
+]]></code>
+This sample shows how to call GetSupportedLanguages with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetSupportedLanguages("CustomSingleLabelClassification", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("languageName").ToString());
+    Console.WriteLine(result.GetProperty("languageCode").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetSupportedPrebuiltEntitiesAsync(CancellationToken)">
+      <example>
+This sample shows how to call GetSupportedPrebuiltEntitiesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (PrebuiltEntity item in client.GetSupportedPrebuiltEntitiesAsync())
+{
+}
+]]></code>
+This sample shows how to call GetSupportedPrebuiltEntitiesAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (PrebuiltEntity item in client.GetSupportedPrebuiltEntitiesAsync())
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetSupportedPrebuiltEntities(CancellationToken)">
+      <example>
+This sample shows how to call GetSupportedPrebuiltEntities.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (PrebuiltEntity item in client.GetSupportedPrebuiltEntities())
+{
+}
+]]></code>
+This sample shows how to call GetSupportedPrebuiltEntities with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (PrebuiltEntity item in client.GetSupportedPrebuiltEntities())
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetSupportedPrebuiltEntitiesAsync(RequestContext)">
+      <example>
+This sample shows how to call GetSupportedPrebuiltEntitiesAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetSupportedPrebuiltEntitiesAsync(null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("category").ToString());
+    Console.WriteLine(result.GetProperty("description").ToString());
+    Console.WriteLine(result.GetProperty("examples").ToString());
+}
+]]></code>
+This sample shows how to call GetSupportedPrebuiltEntitiesAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetSupportedPrebuiltEntitiesAsync(null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("category").ToString());
+    Console.WriteLine(result.GetProperty("description").ToString());
+    Console.WriteLine(result.GetProperty("examples").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetSupportedPrebuiltEntities(RequestContext)">
+      <example>
+This sample shows how to call GetSupportedPrebuiltEntities and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetSupportedPrebuiltEntities(null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("category").ToString());
+    Console.WriteLine(result.GetProperty("description").ToString());
+    Console.WriteLine(result.GetProperty("examples").ToString());
+}
+]]></code>
+This sample shows how to call GetSupportedPrebuiltEntities with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetSupportedPrebuiltEntities(null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("category").ToString());
+    Console.WriteLine(result.GetProperty("description").ToString());
+    Console.WriteLine(result.GetProperty("examples").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainingConfigVersionsAsync(ProjectKind?,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainingConfigVersionsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (TrainingConfigVersion item in client.GetTrainingConfigVersionsAsync())
+{
+}
+]]></code>
+This sample shows how to call GetTrainingConfigVersionsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (TrainingConfigVersion item in client.GetTrainingConfigVersionsAsync(projectKind: ProjectKind.CustomSingleLabelClassification, maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainingConfigVersions(ProjectKind?,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainingConfigVersions.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (TrainingConfigVersion item in client.GetTrainingConfigVersions())
+{
+}
+]]></code>
+This sample shows how to call GetTrainingConfigVersions with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (TrainingConfigVersion item in client.GetTrainingConfigVersions(projectKind: ProjectKind.CustomSingleLabelClassification, maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainingConfigVersionsAsync(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetTrainingConfigVersionsAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetTrainingConfigVersionsAsync(null, null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+}
+]]></code>
+This sample shows how to call GetTrainingConfigVersionsAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetTrainingConfigVersionsAsync("CustomSingleLabelClassification", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainingConfigVersions(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetTrainingConfigVersions and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetTrainingConfigVersions(null, null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+}
+]]></code>
+This sample shows how to call GetTrainingConfigVersions with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetTrainingConfigVersions("CustomSingleLabelClassification", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="DeleteProjectAsync(WaitUntil,string,RequestContext)">
+      <example>
+This sample shows how to call DeleteProjectAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.DeleteProjectAsync(WaitUntil.Completed, "<projectName>");
+]]></code>
+This sample shows how to call DeleteProjectAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.DeleteProjectAsync(WaitUntil.Completed, "<projectName>");
+]]></code></example>
+    </member>
+    <member name="DeleteProject(WaitUntil,string,RequestContext)">
+      <example>
+This sample shows how to call DeleteProject.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.DeleteProject(WaitUntil.Completed, "<projectName>");
+]]></code>
+This sample shows how to call DeleteProject with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.DeleteProject(WaitUntil.Completed, "<projectName>");
+]]></code></example>
+    </member>
+    <member name="CopyProjectAsync(WaitUntil,string,CopyProjectConfig,CancellationToken)">
+      <example>
+This sample shows how to call CopyProjectAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+CopyProjectConfig body = new CopyProjectConfig(
+ProjectKind.CustomSingleLabelClassification,
+"<targetProjectName>",
+"<accessToken>",
+DateTimeOffset.Parse("2022-05-10T18:57:31.2311892Z"),
+"<targetResourceId>",
+"<targetResourceRegion>");
+Operation operation = await client.CopyProjectAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call CopyProjectAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+CopyProjectConfig body = new CopyProjectConfig(
+ProjectKind.CustomSingleLabelClassification,
+"<targetProjectName>",
+"<accessToken>",
+DateTimeOffset.Parse("2022-05-10T18:57:31.2311892Z"),
+"<targetResourceId>",
+"<targetResourceRegion>");
+Operation operation = await client.CopyProjectAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code></example>
+    </member>
+    <member name="CopyProject(WaitUntil,string,CopyProjectConfig,CancellationToken)">
+      <example>
+This sample shows how to call CopyProject.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+CopyProjectConfig body = new CopyProjectConfig(
+ProjectKind.CustomSingleLabelClassification,
+"<targetProjectName>",
+"<accessToken>",
+DateTimeOffset.Parse("2022-05-10T18:57:31.2311892Z"),
+"<targetResourceId>",
+"<targetResourceRegion>");
+Operation operation = client.CopyProject(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call CopyProject with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+CopyProjectConfig body = new CopyProjectConfig(
+ProjectKind.CustomSingleLabelClassification,
+"<targetProjectName>",
+"<accessToken>",
+DateTimeOffset.Parse("2022-05-10T18:57:31.2311892Z"),
+"<targetResourceId>",
+"<targetResourceRegion>");
+Operation operation = client.CopyProject(WaitUntil.Completed, "<projectName>", body);
+]]></code></example>
+    </member>
+    <member name="CopyProjectAsync(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call CopyProjectAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "CustomSingleLabelClassification",
+    targetProjectName = "<targetProjectName>",
+    accessToken = "<accessToken>",
+    expiresAt = "2022-05-10T18:57:31.2311892Z",
+    targetResourceId = "<targetResourceId>",
+    targetResourceRegion = "<targetResourceRegion>",
+});
+Operation operation = await client.CopyProjectAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call CopyProjectAsync with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "CustomSingleLabelClassification",
+    targetProjectName = "<targetProjectName>",
+    accessToken = "<accessToken>",
+    expiresAt = "2022-05-10T18:57:31.2311892Z",
+    targetResourceId = "<targetResourceId>",
+    targetResourceRegion = "<targetResourceRegion>",
+});
+Operation operation = await client.CopyProjectAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code></example>
+    </member>
+    <member name="CopyProject(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call CopyProject.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "CustomSingleLabelClassification",
+    targetProjectName = "<targetProjectName>",
+    accessToken = "<accessToken>",
+    expiresAt = "2022-05-10T18:57:31.2311892Z",
+    targetResourceId = "<targetResourceId>",
+    targetResourceRegion = "<targetResourceRegion>",
+});
+Operation operation = client.CopyProject(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call CopyProject with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "CustomSingleLabelClassification",
+    targetProjectName = "<targetProjectName>",
+    accessToken = "<accessToken>",
+    expiresAt = "2022-05-10T18:57:31.2311892Z",
+    targetResourceId = "<targetResourceId>",
+    targetResourceRegion = "<targetResourceRegion>",
+});
+Operation operation = client.CopyProject(WaitUntil.Completed, "<projectName>", content);
+]]></code></example>
+    </member>
+    <member name="ExportAsync(WaitUntil,string,StringIndexType,string,string,CancellationToken)">
+      <example>
+This sample shows how to call ExportAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.ExportAsync(WaitUntil.Completed, "<projectName>", StringIndexType.Utf16CodeUnit);
+]]></code>
+This sample shows how to call ExportAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.ExportAsync(WaitUntil.Completed, "<projectName>", StringIndexType.Utf16CodeUnit, assetKind: "<assetKind>", trainedModelLabel: "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="Export(WaitUntil,string,StringIndexType,string,string,CancellationToken)">
+      <example>
+This sample shows how to call Export.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.Export(WaitUntil.Completed, "<projectName>", StringIndexType.Utf16CodeUnit);
+]]></code>
+This sample shows how to call Export with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.Export(WaitUntil.Completed, "<projectName>", StringIndexType.Utf16CodeUnit, assetKind: "<assetKind>", trainedModelLabel: "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="ExportAsync(WaitUntil,string,string,string,string,RequestContext)">
+      <example>
+This sample shows how to call ExportAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.ExportAsync(WaitUntil.Completed, "<projectName>", "Utf16CodeUnit");
+]]></code>
+This sample shows how to call ExportAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.ExportAsync(WaitUntil.Completed, "<projectName>", "Utf16CodeUnit", assetKind: "<assetKind>", trainedModelLabel: "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="Export(WaitUntil,string,string,string,string,RequestContext)">
+      <example>
+This sample shows how to call Export.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.Export(WaitUntil.Completed, "<projectName>", "Utf16CodeUnit");
+]]></code>
+This sample shows how to call Export with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.Export(WaitUntil.Completed, "<projectName>", "Utf16CodeUnit", assetKind: "<assetKind>", trainedModelLabel: "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="ImportAsync(WaitUntil,string,ExportedProject,string,CancellationToken)">
+      <example>
+This sample shows how to call ImportAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+ExportedProject body = new ExportedProject("<projectFileVersion>", StringIndexType.Utf16CodeUnit, new CreateProjectConfig(ProjectKind.CustomSingleLabelClassification, "<storageInputContainerName>", "<projectName>", "<language>"));
+Operation operation = await client.ImportAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call ImportAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+ExportedProject body = new ExportedProject("<projectFileVersion>", StringIndexType.Utf16CodeUnit, new CreateProjectConfig(ProjectKind.CustomSingleLabelClassification, "<storageInputContainerName>", "<projectName>", "<language>")
+{
+    Settings = new ProjectSettings
+    {
+        ConfidenceThreshold = 123.45F,
+        AmlProjectPath = "<amlProjectPath>",
+        IsLabelingLocked = true,
+        RunGptPredictions = true,
+        GptPredictiveLookahead = 1234,
+    },
+    Multilingual = true,
+    Description = "<description>",
+})
+{
+    Assets = new ExportedCustomAbstractiveSummarizationProjectAssets
+    {
+        Documents = {new ExportedCustomAbstractiveSummarizationDocument("<summaryLocation>")
+        {
+            Location = "<location>",
+            Language = "<language>",
+            Dataset = "<dataset>",
+        }},
+    },
+};
+Operation operation = await client.ImportAsync(WaitUntil.Completed, "<projectName>", body, format: "<format>");
+]]></code></example>
+    </member>
+    <member name="Import(WaitUntil,string,ExportedProject,string,CancellationToken)">
+      <example>
+This sample shows how to call Import.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+ExportedProject body = new ExportedProject("<projectFileVersion>", StringIndexType.Utf16CodeUnit, new CreateProjectConfig(ProjectKind.CustomSingleLabelClassification, "<storageInputContainerName>", "<projectName>", "<language>"));
+Operation operation = client.Import(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call Import with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+ExportedProject body = new ExportedProject("<projectFileVersion>", StringIndexType.Utf16CodeUnit, new CreateProjectConfig(ProjectKind.CustomSingleLabelClassification, "<storageInputContainerName>", "<projectName>", "<language>")
+{
+    Settings = new ProjectSettings
+    {
+        ConfidenceThreshold = 123.45F,
+        AmlProjectPath = "<amlProjectPath>",
+        IsLabelingLocked = true,
+        RunGptPredictions = true,
+        GptPredictiveLookahead = 1234,
+    },
+    Multilingual = true,
+    Description = "<description>",
+})
+{
+    Assets = new ExportedCustomAbstractiveSummarizationProjectAssets
+    {
+        Documents = {new ExportedCustomAbstractiveSummarizationDocument("<summaryLocation>")
+        {
+            Location = "<location>",
+            Language = "<language>",
+            Dataset = "<dataset>",
+        }},
+    },
+};
+Operation operation = client.Import(WaitUntil.Completed, "<projectName>", body, format: "<format>");
+]]></code></example>
+    </member>
+    <member name="ImportAsync(WaitUntil,string,RequestContent,string,RequestContext)">
+      <example>
+This sample shows how to call ImportAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectFileVersion = "<projectFileVersion>",
+    stringIndexType = "Utf16CodeUnit",
+    metadata = new
+    {
+        projectKind = "CustomSingleLabelClassification",
+        storageInputContainerName = "<storageInputContainerName>",
+        projectName = "<projectName>",
+        language = "<language>",
+    },
+});
+Operation operation = await client.ImportAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call ImportAsync with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectFileVersion = "<projectFileVersion>",
+    stringIndexType = "Utf16CodeUnit",
+    metadata = new
+    {
+        projectKind = "CustomSingleLabelClassification",
+        storageInputContainerName = "<storageInputContainerName>",
+        settings = new
+        {
+            confidenceThreshold = 123.45F,
+            amlProjectPath = "<amlProjectPath>",
+            isLabelingLocked = true,
+            runGptPredictions = true,
+            gptPredictiveLookahead = 1234,
+        },
+        projectName = "<projectName>",
+        multilingual = true,
+        description = "<description>",
+        language = "<language>",
+    },
+    assets = new
+    {
+        documents = new object[]
+        {
+            new
+            {
+                summaryLocation = "<summaryLocation>",
+                location = "<location>",
+                language = "<language>",
+                dataset = "<dataset>",
+            }
+        },
+        projectKind = "CustomAbstractiveSummarization",
+    },
+});
+Operation operation = await client.ImportAsync(WaitUntil.Completed, "<projectName>", content, format: "<format>");
+]]></code></example>
+    </member>
+    <member name="Import(WaitUntil,string,RequestContent,string,RequestContext)">
+      <example>
+This sample shows how to call Import.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectFileVersion = "<projectFileVersion>",
+    stringIndexType = "Utf16CodeUnit",
+    metadata = new
+    {
+        projectKind = "CustomSingleLabelClassification",
+        storageInputContainerName = "<storageInputContainerName>",
+        projectName = "<projectName>",
+        language = "<language>",
+    },
+});
+Operation operation = client.Import(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call Import with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectFileVersion = "<projectFileVersion>",
+    stringIndexType = "Utf16CodeUnit",
+    metadata = new
+    {
+        projectKind = "CustomSingleLabelClassification",
+        storageInputContainerName = "<storageInputContainerName>",
+        settings = new
+        {
+            confidenceThreshold = 123.45F,
+            amlProjectPath = "<amlProjectPath>",
+            isLabelingLocked = true,
+            runGptPredictions = true,
+            gptPredictiveLookahead = 1234,
+        },
+        projectName = "<projectName>",
+        multilingual = true,
+        description = "<description>",
+        language = "<language>",
+    },
+    assets = new
+    {
+        documents = new object[]
+        {
+            new
+            {
+                summaryLocation = "<summaryLocation>",
+                location = "<location>",
+                language = "<language>",
+                dataset = "<dataset>",
+            }
+        },
+        projectKind = "CustomAbstractiveSummarization",
+    },
+});
+Operation operation = client.Import(WaitUntil.Completed, "<projectName>", content, format: "<format>");
+]]></code></example>
+    </member>
+    <member name="TrainAsync(WaitUntil,string,TrainingJobConfig,CancellationToken)">
+      <example>
+This sample shows how to call TrainAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+TrainingJobConfig body = new TrainingJobConfig("<modelLabel>", "<trainingConfigVersion>");
+Operation<TrainingJobResult> operation = await client.TrainAsync(WaitUntil.Completed, "<projectName>", body);
+TrainingJobResult responseData = operation.Value;
+]]></code>
+This sample shows how to call TrainAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+TrainingJobConfig body = new TrainingJobConfig("<modelLabel>", "<trainingConfigVersion>")
+{
+    EvaluationOptions = new EvaluationConfig
+    {
+        Kind = EvaluationKind.Percentage,
+        TrainingSplitPercentage = 1234,
+        TestingSplitPercentage = 1234,
+    },
+    DataGenerationSettings = new DataGenerationSettings(true, new DataGenerationConnectionInfo("<resourceId>", "<deploymentName>")),
+};
+Operation<TrainingJobResult> operation = await client.TrainAsync(WaitUntil.Completed, "<projectName>", body);
+TrainingJobResult responseData = operation.Value;
+]]></code></example>
+    </member>
+    <member name="Train(WaitUntil,string,TrainingJobConfig,CancellationToken)">
+      <example>
+This sample shows how to call Train.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+TrainingJobConfig body = new TrainingJobConfig("<modelLabel>", "<trainingConfigVersion>");
+Operation<TrainingJobResult> operation = client.Train(WaitUntil.Completed, "<projectName>", body);
+TrainingJobResult responseData = operation.Value;
+]]></code>
+This sample shows how to call Train with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+TrainingJobConfig body = new TrainingJobConfig("<modelLabel>", "<trainingConfigVersion>")
+{
+    EvaluationOptions = new EvaluationConfig
+    {
+        Kind = EvaluationKind.Percentage,
+        TrainingSplitPercentage = 1234,
+        TestingSplitPercentage = 1234,
+    },
+    DataGenerationSettings = new DataGenerationSettings(true, new DataGenerationConnectionInfo("<resourceId>", "<deploymentName>")),
+};
+Operation<TrainingJobResult> operation = client.Train(WaitUntil.Completed, "<projectName>", body);
+TrainingJobResult responseData = operation.Value;
+]]></code></example>
+    </member>
+    <member name="TrainAsync(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call TrainAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    modelLabel = "<modelLabel>",
+    trainingConfigVersion = "<trainingConfigVersion>",
+});
+Operation<BinaryData> operation = await client.TrainAsync(WaitUntil.Completed, "<projectName>", content);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+]]></code>
+This sample shows how to call TrainAsync with all parameters and request content and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    modelLabel = "<modelLabel>",
+    trainingConfigVersion = "<trainingConfigVersion>",
+    evaluationOptions = new
+    {
+        kind = "percentage",
+        trainingSplitPercentage = 1234,
+        testingSplitPercentage = 1234,
+    },
+    dataGenerationSettings = new
+    {
+        enableDataGeneration = true,
+        dataGenerationConnectionInfo = new
+        {
+            kind = "azureOpenAI",
+            resourceId = "<resourceId>",
+            deploymentName = "<deploymentName>",
+        },
+    },
+});
+Operation<BinaryData> operation = await client.TrainAsync(WaitUntil.Completed, "<projectName>", content);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("estimatedEndDateTime").ToString());
+]]></code></example>
+    </member>
+    <member name="Train(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call Train and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    modelLabel = "<modelLabel>",
+    trainingConfigVersion = "<trainingConfigVersion>",
+});
+Operation<BinaryData> operation = client.Train(WaitUntil.Completed, "<projectName>", content);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+]]></code>
+This sample shows how to call Train with all parameters and request content and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    modelLabel = "<modelLabel>",
+    trainingConfigVersion = "<trainingConfigVersion>",
+    evaluationOptions = new
+    {
+        kind = "percentage",
+        trainingSplitPercentage = 1234,
+        testingSplitPercentage = 1234,
+    },
+    dataGenerationSettings = new
+    {
+        enableDataGeneration = true,
+        dataGenerationConnectionInfo = new
+        {
+            kind = "azureOpenAI",
+            resourceId = "<resourceId>",
+            deploymentName = "<deploymentName>",
+        },
+    },
+});
+Operation<BinaryData> operation = client.Train(WaitUntil.Completed, "<projectName>", content);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("estimatedEndDateTime").ToString());
+]]></code></example>
+    </member>
+    <member name="DeployProjectAsync(WaitUntil,string,string,CreateDeploymentConfig,CancellationToken)">
+      <example>
+This sample shows how to call DeployProjectAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+CreateDeploymentConfig body = new CreateDeploymentConfig("<trainedModelLabel>");
+Operation operation = await client.DeployProjectAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+]]></code>
+This sample shows how to call DeployProjectAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+CreateDeploymentConfig body = new CreateDeploymentConfig("<trainedModelLabel>")
+{
+    AssignedResourceIds = { "<assignedResourceIds>" },
+};
+Operation operation = await client.DeployProjectAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+]]></code></example>
+    </member>
+    <member name="DeployProject(WaitUntil,string,string,CreateDeploymentConfig,CancellationToken)">
+      <example>
+This sample shows how to call DeployProject.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+CreateDeploymentConfig body = new CreateDeploymentConfig("<trainedModelLabel>");
+Operation operation = client.DeployProject(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+]]></code>
+This sample shows how to call DeployProject with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+CreateDeploymentConfig body = new CreateDeploymentConfig("<trainedModelLabel>")
+{
+    AssignedResourceIds = { "<assignedResourceIds>" },
+};
+Operation operation = client.DeployProject(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+]]></code></example>
+    </member>
+    <member name="DeployProjectAsync(WaitUntil,string,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call DeployProjectAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    trainedModelLabel = "<trainedModelLabel>",
+});
+Operation operation = await client.DeployProjectAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+]]></code>
+This sample shows how to call DeployProjectAsync with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    trainedModelLabel = "<trainedModelLabel>",
+    assignedResourceIds = new object[]
+    {
+        "<assignedResourceIds>"
+    },
+});
+Operation operation = await client.DeployProjectAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+]]></code></example>
+    </member>
+    <member name="DeployProject(WaitUntil,string,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call DeployProject.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    trainedModelLabel = "<trainedModelLabel>",
+});
+Operation operation = client.DeployProject(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+]]></code>
+This sample shows how to call DeployProject with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    trainedModelLabel = "<trainedModelLabel>",
+    assignedResourceIds = new object[]
+    {
+        "<assignedResourceIds>"
+    },
+});
+Operation operation = client.DeployProject(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+]]></code></example>
+    </member>
+    <member name="DeleteDeploymentAsync(WaitUntil,string,string,RequestContext)">
+      <example>
+This sample shows how to call DeleteDeploymentAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.DeleteDeploymentAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>");
+]]></code>
+This sample shows how to call DeleteDeploymentAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.DeleteDeploymentAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>");
+]]></code></example>
+    </member>
+    <member name="DeleteDeployment(WaitUntil,string,string,RequestContext)">
+      <example>
+This sample shows how to call DeleteDeployment.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.DeleteDeployment(WaitUntil.Completed, "<projectName>", "<deploymentName>");
+]]></code>
+This sample shows how to call DeleteDeployment with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.DeleteDeployment(WaitUntil.Completed, "<projectName>", "<deploymentName>");
+]]></code></example>
+    </member>
+    <member name="DeleteDeploymentFromResourcesAsync(WaitUntil,string,string,DeleteDeploymentConfig,CancellationToken)">
+      <example>
+This sample shows how to call DeleteDeploymentFromResourcesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+DeleteDeploymentConfig body = new DeleteDeploymentConfig();
+Operation operation = await client.DeleteDeploymentFromResourcesAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+]]></code>
+This sample shows how to call DeleteDeploymentFromResourcesAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+DeleteDeploymentConfig body = new DeleteDeploymentConfig
+{
+    AssignedResourceIds = { "<assignedResourceIds>" },
+};
+Operation operation = await client.DeleteDeploymentFromResourcesAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+]]></code></example>
+    </member>
+    <member name="DeleteDeploymentFromResources(WaitUntil,string,string,DeleteDeploymentConfig,CancellationToken)">
+      <example>
+This sample shows how to call DeleteDeploymentFromResources.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+DeleteDeploymentConfig body = new DeleteDeploymentConfig();
+Operation operation = client.DeleteDeploymentFromResources(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+]]></code>
+This sample shows how to call DeleteDeploymentFromResources with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+DeleteDeploymentConfig body = new DeleteDeploymentConfig
+{
+    AssignedResourceIds = { "<assignedResourceIds>" },
+};
+Operation operation = client.DeleteDeploymentFromResources(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+]]></code></example>
+    </member>
+    <member name="DeleteDeploymentFromResourcesAsync(WaitUntil,string,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call DeleteDeploymentFromResourcesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new object());
+Operation operation = await client.DeleteDeploymentFromResourcesAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+]]></code>
+This sample shows how to call DeleteDeploymentFromResourcesAsync with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    assignedResourceIds = new object[]
+    {
+        "<assignedResourceIds>"
+    },
+});
+Operation operation = await client.DeleteDeploymentFromResourcesAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+]]></code></example>
+    </member>
+    <member name="DeleteDeploymentFromResources(WaitUntil,string,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call DeleteDeploymentFromResources.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new object());
+Operation operation = client.DeleteDeploymentFromResources(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+]]></code>
+This sample shows how to call DeleteDeploymentFromResources with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    assignedResourceIds = new object[]
+    {
+        "<assignedResourceIds>"
+    },
+});
+Operation operation = client.DeleteDeploymentFromResources(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+]]></code></example>
+    </member>
+    <member name="SwapDeploymentsAsync(WaitUntil,string,SwapDeploymentsConfig,CancellationToken)">
+      <example>
+This sample shows how to call SwapDeploymentsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+SwapDeploymentsConfig body = new SwapDeploymentsConfig("<firstDeploymentName>", "<secondDeploymentName>");
+Operation operation = await client.SwapDeploymentsAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call SwapDeploymentsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+SwapDeploymentsConfig body = new SwapDeploymentsConfig("<firstDeploymentName>", "<secondDeploymentName>");
+Operation operation = await client.SwapDeploymentsAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code></example>
+    </member>
+    <member name="SwapDeployments(WaitUntil,string,SwapDeploymentsConfig,CancellationToken)">
+      <example>
+This sample shows how to call SwapDeployments.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+SwapDeploymentsConfig body = new SwapDeploymentsConfig("<firstDeploymentName>", "<secondDeploymentName>");
+Operation operation = client.SwapDeployments(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call SwapDeployments with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+SwapDeploymentsConfig body = new SwapDeploymentsConfig("<firstDeploymentName>", "<secondDeploymentName>");
+Operation operation = client.SwapDeployments(WaitUntil.Completed, "<projectName>", body);
+]]></code></example>
+    </member>
+    <member name="SwapDeploymentsAsync(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call SwapDeploymentsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    firstDeploymentName = "<firstDeploymentName>",
+    secondDeploymentName = "<secondDeploymentName>",
+});
+Operation operation = await client.SwapDeploymentsAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call SwapDeploymentsAsync with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    firstDeploymentName = "<firstDeploymentName>",
+    secondDeploymentName = "<secondDeploymentName>",
+});
+Operation operation = await client.SwapDeploymentsAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code></example>
+    </member>
+    <member name="SwapDeployments(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call SwapDeployments.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    firstDeploymentName = "<firstDeploymentName>",
+    secondDeploymentName = "<secondDeploymentName>",
+});
+Operation operation = client.SwapDeployments(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call SwapDeployments with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    firstDeploymentName = "<firstDeploymentName>",
+    secondDeploymentName = "<secondDeploymentName>",
+});
+Operation operation = client.SwapDeployments(WaitUntil.Completed, "<projectName>", content);
+]]></code></example>
+    </member>
+    <member name="CreateOrUpdateExportedModelAsync(WaitUntil,string,string,ExportedModelConfig,CancellationToken)">
+      <example>
+This sample shows how to call CreateOrUpdateExportedModelAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+ExportedModelConfig body = new ExportedModelConfig("<trainedModelLabel>");
+Operation operation = await client.CreateOrUpdateExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>", body);
+]]></code>
+This sample shows how to call CreateOrUpdateExportedModelAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+ExportedModelConfig body = new ExportedModelConfig("<trainedModelLabel>");
+Operation operation = await client.CreateOrUpdateExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>", body);
+]]></code></example>
+    </member>
+    <member name="CreateOrUpdateExportedModel(WaitUntil,string,string,ExportedModelConfig,CancellationToken)">
+      <example>
+This sample shows how to call CreateOrUpdateExportedModel.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+ExportedModelConfig body = new ExportedModelConfig("<trainedModelLabel>");
+Operation operation = client.CreateOrUpdateExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>", body);
+]]></code>
+This sample shows how to call CreateOrUpdateExportedModel with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+ExportedModelConfig body = new ExportedModelConfig("<trainedModelLabel>");
+Operation operation = client.CreateOrUpdateExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>", body);
+]]></code></example>
+    </member>
+    <member name="CreateOrUpdateExportedModelAsync(WaitUntil,string,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call CreateOrUpdateExportedModelAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    trainedModelLabel = "<trainedModelLabel>",
+});
+Operation operation = await client.CreateOrUpdateExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>", content);
+]]></code>
+This sample shows how to call CreateOrUpdateExportedModelAsync with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    trainedModelLabel = "<trainedModelLabel>",
+});
+Operation operation = await client.CreateOrUpdateExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>", content);
+]]></code></example>
+    </member>
+    <member name="CreateOrUpdateExportedModel(WaitUntil,string,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call CreateOrUpdateExportedModel.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    trainedModelLabel = "<trainedModelLabel>",
+});
+Operation operation = client.CreateOrUpdateExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>", content);
+]]></code>
+This sample shows how to call CreateOrUpdateExportedModel with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    trainedModelLabel = "<trainedModelLabel>",
+});
+Operation operation = client.CreateOrUpdateExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>", content);
+]]></code></example>
+    </member>
+    <member name="DeleteExportedModelAsync(WaitUntil,string,string,RequestContext)">
+      <example>
+This sample shows how to call DeleteExportedModelAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.DeleteExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>");
+]]></code>
+This sample shows how to call DeleteExportedModelAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.DeleteExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>");
+]]></code></example>
+    </member>
+    <member name="DeleteExportedModel(WaitUntil,string,string,RequestContext)">
+      <example>
+This sample shows how to call DeleteExportedModel.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.DeleteExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>");
+]]></code>
+This sample shows how to call DeleteExportedModel with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.DeleteExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>");
+]]></code></example>
+    </member>
+    <member name="EvaluateModelAsync(WaitUntil,string,string,EvaluationConfig,CancellationToken)">
+      <example>
+This sample shows how to call EvaluateModelAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+EvaluationConfig body = new EvaluationConfig();
+Operation<EvaluationJobResult> operation = await client.EvaluateModelAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", body);
+EvaluationJobResult responseData = operation.Value;
+]]></code>
+This sample shows how to call EvaluateModelAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+EvaluationConfig body = new EvaluationConfig
+{
+    Kind = EvaluationKind.Percentage,
+    TrainingSplitPercentage = 1234,
+    TestingSplitPercentage = 1234,
+};
+Operation<EvaluationJobResult> operation = await client.EvaluateModelAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", body);
+EvaluationJobResult responseData = operation.Value;
+]]></code></example>
+    </member>
+    <member name="EvaluateModel(WaitUntil,string,string,EvaluationConfig,CancellationToken)">
+      <example>
+This sample shows how to call EvaluateModel.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+EvaluationConfig body = new EvaluationConfig();
+Operation<EvaluationJobResult> operation = client.EvaluateModel(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", body);
+EvaluationJobResult responseData = operation.Value;
+]]></code>
+This sample shows how to call EvaluateModel with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+EvaluationConfig body = new EvaluationConfig
+{
+    Kind = EvaluationKind.Percentage,
+    TrainingSplitPercentage = 1234,
+    TestingSplitPercentage = 1234,
+};
+Operation<EvaluationJobResult> operation = client.EvaluateModel(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", body);
+EvaluationJobResult responseData = operation.Value;
+]]></code></example>
+    </member>
+    <member name="EvaluateModelAsync(WaitUntil,string,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call EvaluateModelAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new object());
+Operation<BinaryData> operation = await client.EvaluateModelAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", content);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("evaluationOptions").ToString());
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("percentComplete").ToString());
+]]></code>
+This sample shows how to call EvaluateModelAsync with all parameters and request content and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    kind = "percentage",
+    trainingSplitPercentage = 1234,
+    testingSplitPercentage = 1234,
+});
+Operation<BinaryData> operation = await client.EvaluateModelAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", content);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("kind").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("percentComplete").ToString());
+]]></code></example>
+    </member>
+    <member name="EvaluateModel(WaitUntil,string,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call EvaluateModel and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new object());
+Operation<BinaryData> operation = client.EvaluateModel(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", content);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("evaluationOptions").ToString());
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("percentComplete").ToString());
+]]></code>
+This sample shows how to call EvaluateModel with all parameters and request content and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    kind = "percentage",
+    trainingSplitPercentage = 1234,
+    testingSplitPercentage = 1234,
+});
+Operation<BinaryData> operation = client.EvaluateModel(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", content);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("kind").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("percentComplete").ToString());
+]]></code></example>
+    </member>
+    <member name="LoadSnapshotAsync(WaitUntil,string,string,RequestContext)">
+      <example>
+This sample shows how to call LoadSnapshotAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.LoadSnapshotAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>");
+]]></code>
+This sample shows how to call LoadSnapshotAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.LoadSnapshotAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="LoadSnapshot(WaitUntil,string,string,RequestContext)">
+      <example>
+This sample shows how to call LoadSnapshot.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.LoadSnapshot(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>");
+]]></code>
+This sample shows how to call LoadSnapshot with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.LoadSnapshot(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="AssignDeploymentResourcesAsync(WaitUntil,string,AssignDeploymentResourcesConfig,CancellationToken)">
+      <example>
+This sample shows how to call AssignDeploymentResourcesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+AssignDeploymentResourcesConfig body = new AssignDeploymentResourcesConfig(new ResourceMetadata[]
+{
+    new ResourceMetadata("<azureResourceId>", "<customDomain>", "<region>")
+});
+Operation operation = await client.AssignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call AssignDeploymentResourcesAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+AssignDeploymentResourcesConfig body = new AssignDeploymentResourcesConfig(new ResourceMetadata[]
+{
+    new ResourceMetadata("<azureResourceId>", "<customDomain>", "<region>")
+});
+Operation operation = await client.AssignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code></example>
+    </member>
+    <member name="AssignDeploymentResources(WaitUntil,string,AssignDeploymentResourcesConfig,CancellationToken)">
+      <example>
+This sample shows how to call AssignDeploymentResources.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+AssignDeploymentResourcesConfig body = new AssignDeploymentResourcesConfig(new ResourceMetadata[]
+{
+    new ResourceMetadata("<azureResourceId>", "<customDomain>", "<region>")
+});
+Operation operation = client.AssignDeploymentResources(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call AssignDeploymentResources with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+AssignDeploymentResourcesConfig body = new AssignDeploymentResourcesConfig(new ResourceMetadata[]
+{
+    new ResourceMetadata("<azureResourceId>", "<customDomain>", "<region>")
+});
+Operation operation = client.AssignDeploymentResources(WaitUntil.Completed, "<projectName>", body);
+]]></code></example>
+    </member>
+    <member name="AssignDeploymentResourcesAsync(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call AssignDeploymentResourcesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    resourcesMetadata = new object[]
+    {
+        new
+        {
+            azureResourceId = "<azureResourceId>",
+            customDomain = "<customDomain>",
+            region = "<region>",
+        }
+    },
+});
+Operation operation = await client.AssignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call AssignDeploymentResourcesAsync with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    resourcesMetadata = new object[]
+    {
+        new
+        {
+            azureResourceId = "<azureResourceId>",
+            customDomain = "<customDomain>",
+            region = "<region>",
+        }
+    },
+});
+Operation operation = await client.AssignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code></example>
+    </member>
+    <member name="AssignDeploymentResources(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call AssignDeploymentResources.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    resourcesMetadata = new object[]
+    {
+        new
+        {
+            azureResourceId = "<azureResourceId>",
+            customDomain = "<customDomain>",
+            region = "<region>",
+        }
+    },
+});
+Operation operation = client.AssignDeploymentResources(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call AssignDeploymentResources with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    resourcesMetadata = new object[]
+    {
+        new
+        {
+            azureResourceId = "<azureResourceId>",
+            customDomain = "<customDomain>",
+            region = "<region>",
+        }
+    },
+});
+Operation operation = client.AssignDeploymentResources(WaitUntil.Completed, "<projectName>", content);
+]]></code></example>
+    </member>
+    <member name="UnassignDeploymentResourcesAsync(WaitUntil,string,UnassignDeploymentResourcesConfig,CancellationToken)">
+      <example>
+This sample shows how to call UnassignDeploymentResourcesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+UnassignDeploymentResourcesConfig body = new UnassignDeploymentResourcesConfig(new string[] { "<assignedResourceIds>" });
+Operation operation = await client.UnassignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call UnassignDeploymentResourcesAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+UnassignDeploymentResourcesConfig body = new UnassignDeploymentResourcesConfig(new string[] { "<assignedResourceIds>" });
+Operation operation = await client.UnassignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code></example>
+    </member>
+    <member name="UnassignDeploymentResources(WaitUntil,string,UnassignDeploymentResourcesConfig,CancellationToken)">
+      <example>
+This sample shows how to call UnassignDeploymentResources.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+UnassignDeploymentResourcesConfig body = new UnassignDeploymentResourcesConfig(new string[] { "<assignedResourceIds>" });
+Operation operation = client.UnassignDeploymentResources(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call UnassignDeploymentResources with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+UnassignDeploymentResourcesConfig body = new UnassignDeploymentResourcesConfig(new string[] { "<assignedResourceIds>" });
+Operation operation = client.UnassignDeploymentResources(WaitUntil.Completed, "<projectName>", body);
+]]></code></example>
+    </member>
+    <member name="UnassignDeploymentResourcesAsync(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call UnassignDeploymentResourcesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    assignedResourceIds = new object[]
+    {
+        "<assignedResourceIds>"
+    },
+});
+Operation operation = await client.UnassignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call UnassignDeploymentResourcesAsync with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    assignedResourceIds = new object[]
+    {
+        "<assignedResourceIds>"
+    },
+});
+Operation operation = await client.UnassignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code></example>
+    </member>
+    <member name="UnassignDeploymentResources(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call UnassignDeploymentResources.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    assignedResourceIds = new object[]
+    {
+        "<assignedResourceIds>"
+    },
+});
+Operation operation = client.UnassignDeploymentResources(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call UnassignDeploymentResources with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    assignedResourceIds = new object[]
+    {
+        "<assignedResourceIds>"
+    },
+});
+Operation operation = client.UnassignDeploymentResources(WaitUntil.Completed, "<projectName>", content);
+]]></code></example>
+    </member>
+    <member name="CancelTrainingJobAsync(WaitUntil,string,string,CancellationToken)">
+      <example>
+This sample shows how to call CancelTrainingJobAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation<TrainingJobResult> operation = await client.CancelTrainingJobAsync(WaitUntil.Completed, "<projectName>", "<jobId>");
+TrainingJobResult responseData = operation.Value;
+]]></code>
+This sample shows how to call CancelTrainingJobAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation<TrainingJobResult> operation = await client.CancelTrainingJobAsync(WaitUntil.Completed, "<projectName>", "<jobId>");
+TrainingJobResult responseData = operation.Value;
+]]></code></example>
+    </member>
+    <member name="CancelTrainingJob(WaitUntil,string,string,CancellationToken)">
+      <example>
+This sample shows how to call CancelTrainingJob.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation<TrainingJobResult> operation = client.CancelTrainingJob(WaitUntil.Completed, "<projectName>", "<jobId>");
+TrainingJobResult responseData = operation.Value;
+]]></code>
+This sample shows how to call CancelTrainingJob with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation<TrainingJobResult> operation = client.CancelTrainingJob(WaitUntil.Completed, "<projectName>", "<jobId>");
+TrainingJobResult responseData = operation.Value;
+]]></code></example>
+    </member>
+    <member name="CancelTrainingJobAsync(WaitUntil,string,string,RequestContext)">
+      <example>
+This sample shows how to call CancelTrainingJobAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation<BinaryData> operation = await client.CancelTrainingJobAsync(WaitUntil.Completed, "<projectName>", "<jobId>", null);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+]]></code>
+This sample shows how to call CancelTrainingJobAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation<BinaryData> operation = await client.CancelTrainingJobAsync(WaitUntil.Completed, "<projectName>", "<jobId>", null);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("estimatedEndDateTime").ToString());
+]]></code></example>
+    </member>
+    <member name="CancelTrainingJob(WaitUntil,string,string,RequestContext)">
+      <example>
+This sample shows how to call CancelTrainingJob and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation<BinaryData> operation = client.CancelTrainingJob(WaitUntil.Completed, "<projectName>", "<jobId>", null);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+]]></code>
+This sample shows how to call CancelTrainingJob with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation<BinaryData> operation = client.CancelTrainingJob(WaitUntil.Completed, "<projectName>", "<jobId>", null);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("estimatedEndDateTime").ToString());
+]]></code></example>
+    </member>
+  </members>
+</doc>
\ No newline at end of file
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/Argument.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/Argument.cs
new file mode 100644
index 000000000000..1b6d1bf0463c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/Argument.cs
@@ -0,0 +1,129 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext
+{
+    internal static class Argument
+    {
+        public static void AssertNotNull<T>(T value, string name)
+        {
+            if (value is null)
+            {
+                throw new ArgumentNullException(name);
+            }
+        }
+
+        public static void AssertNotNull<T>(T? value, string name)
+        where T : struct
+        {
+            if (!value.HasValue)
+            {
+                throw new ArgumentNullException(name);
+            }
+        }
+
+        public static void AssertNotNullOrEmpty<T>(IEnumerable<T> value, string name)
+        {
+            if (value is null)
+            {
+                throw new ArgumentNullException(name);
+            }
+            if (value is ICollection<T> collectionOfT && collectionOfT.Count == 0)
+            {
+                throw new ArgumentException("Value cannot be an empty collection.", name);
+            }
+            if (value is ICollection collection && collection.Count == 0)
+            {
+                throw new ArgumentException("Value cannot be an empty collection.", name);
+            }
+            using IEnumerator<T> e = value.GetEnumerator();
+            if (!e.MoveNext())
+            {
+                throw new ArgumentException("Value cannot be an empty collection.", name);
+            }
+        }
+
+        public static void AssertNotNullOrEmpty(string value, string name)
+        {
+            if (value is null)
+            {
+                throw new ArgumentNullException(name);
+            }
+            if (value.Length == 0)
+            {
+                throw new ArgumentException("Value cannot be an empty string.", name);
+            }
+        }
+
+        public static void AssertNotNullOrWhiteSpace(string value, string name)
+        {
+            if (value is null)
+            {
+                throw new ArgumentNullException(name);
+            }
+            if (string.IsNullOrWhiteSpace(value))
+            {
+                throw new ArgumentException("Value cannot be empty or contain only white-space characters.", name);
+            }
+        }
+
+        public static void AssertNotDefault<T>(ref T value, string name)
+        where T : struct, IEquatable<T>
+        {
+            if (value.Equals(default))
+            {
+                throw new ArgumentException("Value cannot be empty.", name);
+            }
+        }
+
+        public static void AssertInRange<T>(T value, T minimum, T maximum, string name)
+        where T : notnull, IComparable<T>
+        {
+            if (minimum.CompareTo(value) > 0)
+            {
+                throw new ArgumentOutOfRangeException(name, "Value is less than the minimum allowed.");
+            }
+            if (maximum.CompareTo(value) < 0)
+            {
+                throw new ArgumentOutOfRangeException(name, "Value is greater than the maximum allowed.");
+            }
+        }
+
+        public static void AssertEnumDefined(Type enumType, object value, string name)
+        {
+            if (!Enum.IsDefined(enumType, value))
+            {
+                throw new ArgumentException($"Value not defined for {enumType.FullName}.", name);
+            }
+        }
+
+        public static T CheckNotNull<T>(T value, string name)
+        where T : class
+        {
+            AssertNotNull(value, name);
+            return value;
+        }
+
+        public static string CheckNotNullOrEmpty(string value, string name)
+        {
+            AssertNotNullOrEmpty(value, name);
+            return value;
+        }
+
+        public static void AssertNull<T>(T value, string name, string message = null)
+        {
+            if (value != null)
+            {
+                throw new ArgumentException(message ?? "Value must be null.", name);
+            }
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/ChangeTrackingDictionary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/ChangeTrackingDictionary.cs
new file mode 100644
index 000000000000..f2231f9286d3
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/ChangeTrackingDictionary.cs
@@ -0,0 +1,167 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext
+{
+    internal class ChangeTrackingDictionary<TKey, TValue> : IDictionary<TKey, TValue>, IReadOnlyDictionary<TKey, TValue> where TKey : notnull
+    {
+        private IDictionary<TKey, TValue> _innerDictionary;
+
+        public ChangeTrackingDictionary()
+        {
+        }
+
+        public ChangeTrackingDictionary(IDictionary<TKey, TValue> dictionary)
+        {
+            if (dictionary == null)
+            {
+                return;
+            }
+            _innerDictionary = new Dictionary<TKey, TValue>(dictionary);
+        }
+
+        public ChangeTrackingDictionary(IReadOnlyDictionary<TKey, TValue> dictionary)
+        {
+            if (dictionary == null)
+            {
+                return;
+            }
+            _innerDictionary = new Dictionary<TKey, TValue>();
+            foreach (var pair in dictionary)
+            {
+                _innerDictionary.Add(pair);
+            }
+        }
+
+        public bool IsUndefined => _innerDictionary == null;
+
+        public int Count => IsUndefined ? 0 : EnsureDictionary().Count;
+
+        public bool IsReadOnly => IsUndefined ? false : EnsureDictionary().IsReadOnly;
+
+        public ICollection<TKey> Keys => IsUndefined ? Array.Empty<TKey>() : EnsureDictionary().Keys;
+
+        public ICollection<TValue> Values => IsUndefined ? Array.Empty<TValue>() : EnsureDictionary().Values;
+
+        public TValue this[TKey key]
+        {
+            get
+            {
+                if (IsUndefined)
+                {
+                    throw new KeyNotFoundException(nameof(key));
+                }
+                return EnsureDictionary()[key];
+            }
+            set
+            {
+                EnsureDictionary()[key] = value;
+            }
+        }
+
+        IEnumerable<TKey> IReadOnlyDictionary<TKey, TValue>.Keys => Keys;
+
+        IEnumerable<TValue> IReadOnlyDictionary<TKey, TValue>.Values => Values;
+
+        public IEnumerator<KeyValuePair<TKey, TValue>> GetEnumerator()
+        {
+            if (IsUndefined)
+            {
+                IEnumerator<KeyValuePair<TKey, TValue>> enumerateEmpty()
+                {
+                    yield break;
+                }
+                return enumerateEmpty();
+            }
+            return EnsureDictionary().GetEnumerator();
+        }
+
+        IEnumerator IEnumerable.GetEnumerator()
+        {
+            return GetEnumerator();
+        }
+
+        public void Add(KeyValuePair<TKey, TValue> item)
+        {
+            EnsureDictionary().Add(item);
+        }
+
+        public void Clear()
+        {
+            EnsureDictionary().Clear();
+        }
+
+        public bool Contains(KeyValuePair<TKey, TValue> item)
+        {
+            if (IsUndefined)
+            {
+                return false;
+            }
+            return EnsureDictionary().Contains(item);
+        }
+
+        public void CopyTo(KeyValuePair<TKey, TValue>[] array, int index)
+        {
+            if (IsUndefined)
+            {
+                return;
+            }
+            EnsureDictionary().CopyTo(array, index);
+        }
+
+        public bool Remove(KeyValuePair<TKey, TValue> item)
+        {
+            if (IsUndefined)
+            {
+                return false;
+            }
+            return EnsureDictionary().Remove(item);
+        }
+
+        public void Add(TKey key, TValue value)
+        {
+            EnsureDictionary().Add(key, value);
+        }
+
+        public bool ContainsKey(TKey key)
+        {
+            if (IsUndefined)
+            {
+                return false;
+            }
+            return EnsureDictionary().ContainsKey(key);
+        }
+
+        public bool Remove(TKey key)
+        {
+            if (IsUndefined)
+            {
+                return false;
+            }
+            return EnsureDictionary().Remove(key);
+        }
+
+        public bool TryGetValue(TKey key, out TValue value)
+        {
+            if (IsUndefined)
+            {
+                value = default;
+                return false;
+            }
+            return EnsureDictionary().TryGetValue(key, out value);
+        }
+
+        public IDictionary<TKey, TValue> EnsureDictionary()
+        {
+            return _innerDictionary ??= new Dictionary<TKey, TValue>();
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/ChangeTrackingList.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/ChangeTrackingList.cs
new file mode 100644
index 000000000000..331e1e903a65
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/ChangeTrackingList.cs
@@ -0,0 +1,153 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Analyzetext
+{
+    internal class ChangeTrackingList<T> : IList<T>, IReadOnlyList<T>
+    {
+        private IList<T> _innerList;
+
+        public ChangeTrackingList()
+        {
+        }
+
+        public ChangeTrackingList(IList<T> innerList)
+        {
+            if (innerList != null)
+            {
+                _innerList = innerList;
+            }
+        }
+
+        public ChangeTrackingList(IReadOnlyList<T> innerList)
+        {
+            if (innerList != null)
+            {
+                _innerList = innerList.ToList();
+            }
+        }
+
+        public bool IsUndefined => _innerList == null;
+
+        public int Count => IsUndefined ? 0 : EnsureList().Count;
+
+        public bool IsReadOnly => IsUndefined ? false : EnsureList().IsReadOnly;
+
+        public T this[int index]
+        {
+            get
+            {
+                if (IsUndefined)
+                {
+                    throw new ArgumentOutOfRangeException(nameof(index));
+                }
+                return EnsureList()[index];
+            }
+            set
+            {
+                if (IsUndefined)
+                {
+                    throw new ArgumentOutOfRangeException(nameof(index));
+                }
+                EnsureList()[index] = value;
+            }
+        }
+
+        public void Reset()
+        {
+            _innerList = null;
+        }
+
+        public IEnumerator<T> GetEnumerator()
+        {
+            if (IsUndefined)
+            {
+                IEnumerator<T> enumerateEmpty()
+                {
+                    yield break;
+                }
+                return enumerateEmpty();
+            }
+            return EnsureList().GetEnumerator();
+        }
+
+        IEnumerator IEnumerable.GetEnumerator()
+        {
+            return GetEnumerator();
+        }
+
+        public void Add(T item)
+        {
+            EnsureList().Add(item);
+        }
+
+        public void Clear()
+        {
+            EnsureList().Clear();
+        }
+
+        public bool Contains(T item)
+        {
+            if (IsUndefined)
+            {
+                return false;
+            }
+            return EnsureList().Contains(item);
+        }
+
+        public void CopyTo(T[] array, int arrayIndex)
+        {
+            if (IsUndefined)
+            {
+                return;
+            }
+            EnsureList().CopyTo(array, arrayIndex);
+        }
+
+        public bool Remove(T item)
+        {
+            if (IsUndefined)
+            {
+                return false;
+            }
+            return EnsureList().Remove(item);
+        }
+
+        public int IndexOf(T item)
+        {
+            if (IsUndefined)
+            {
+                return -1;
+            }
+            return EnsureList().IndexOf(item);
+        }
+
+        public void Insert(int index, T item)
+        {
+            EnsureList().Insert(index, item);
+        }
+
+        public void RemoveAt(int index)
+        {
+            if (IsUndefined)
+            {
+                throw new ArgumentOutOfRangeException(nameof(index));
+            }
+            EnsureList().RemoveAt(index);
+        }
+
+        public IList<T> EnsureList()
+        {
+            return _innerList ??= new List<T>();
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/ModelSerializationExtensions.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/ModelSerializationExtensions.cs
new file mode 100644
index 000000000000..31915600fb0a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/ModelSerializationExtensions.cs
@@ -0,0 +1,398 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Diagnostics;
+using System.Globalization;
+using System.Text.Json;
+using System.Xml;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext
+{
+    internal static class ModelSerializationExtensions
+    {
+        internal static readonly ModelReaderWriterOptions WireOptions = new ModelReaderWriterOptions("W");
+
+        public static object GetObject(this JsonElement element)
+        {
+            switch (element.ValueKind)
+            {
+                case JsonValueKind.String:
+                    return element.GetString();
+                case JsonValueKind.Number:
+                    if (element.TryGetInt32(out int intValue))
+                    {
+                        return intValue;
+                    }
+                    if (element.TryGetInt64(out long longValue))
+                    {
+                        return longValue;
+                    }
+                    return element.GetDouble();
+                case JsonValueKind.True:
+                    return true;
+                case JsonValueKind.False:
+                    return false;
+                case JsonValueKind.Undefined:
+                case JsonValueKind.Null:
+                    return null;
+                case JsonValueKind.Object:
+                    var dictionary = new Dictionary<string, object>();
+                    foreach (var jsonProperty in element.EnumerateObject())
+                    {
+                        dictionary.Add(jsonProperty.Name, jsonProperty.Value.GetObject());
+                    }
+                    return dictionary;
+                case JsonValueKind.Array:
+                    var list = new List<object>();
+                    foreach (var item in element.EnumerateArray())
+                    {
+                        list.Add(item.GetObject());
+                    }
+                    return list.ToArray();
+                default:
+                    throw new NotSupportedException($"Not supported value kind {element.ValueKind}");
+            }
+        }
+
+        public static byte[] GetBytesFromBase64(this JsonElement element, string format)
+        {
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+
+            return format switch
+            {
+                "U" => TypeFormatters.FromBase64UrlString(element.GetRequiredString()),
+                "D" => element.GetBytesFromBase64(),
+                _ => throw new ArgumentException($"Format is not supported: '{format}'", nameof(format))
+            };
+        }
+
+        public static DateTimeOffset GetDateTimeOffset(this JsonElement element, string format) => format switch
+        {
+            "U" when element.ValueKind == JsonValueKind.Number => DateTimeOffset.FromUnixTimeSeconds(element.GetInt64()),
+            _ => TypeFormatters.ParseDateTimeOffset(element.GetString(), format)
+        };
+
+        public static TimeSpan GetTimeSpan(this JsonElement element, string format) => TypeFormatters.ParseTimeSpan(element.GetString(), format);
+
+        public static char GetChar(this JsonElement element)
+        {
+            if (element.ValueKind == JsonValueKind.String)
+            {
+                var text = element.GetString();
+                if (text == null || text.Length != 1)
+                {
+                    throw new NotSupportedException($"Cannot convert \"{text}\" to a char");
+                }
+                return text[0];
+            }
+            else
+            {
+                throw new NotSupportedException($"Cannot convert {element.ValueKind} to a char");
+            }
+        }
+
+        [Conditional("DEBUG")]
+        public static void ThrowNonNullablePropertyIsNull(this JsonProperty property)
+        {
+            throw new JsonException($"A property '{property.Name}' defined as non-nullable but received as null from the service. This exception only happens in DEBUG builds of the library and would be ignored in the release build");
+        }
+
+        public static string GetRequiredString(this JsonElement element)
+        {
+            var value = element.GetString();
+            if (value == null)
+            {
+                throw new InvalidOperationException($"The requested operation requires an element of type 'String', but the target element has type '{element.ValueKind}'.");
+            }
+            return value;
+        }
+
+        public static void WriteStringValue(this Utf8JsonWriter writer, DateTimeOffset value, string format)
+        {
+            writer.WriteStringValue(TypeFormatters.ToString(value, format));
+        }
+
+        public static void WriteStringValue(this Utf8JsonWriter writer, DateTime value, string format)
+        {
+            writer.WriteStringValue(TypeFormatters.ToString(value, format));
+        }
+
+        public static void WriteStringValue(this Utf8JsonWriter writer, TimeSpan value, string format)
+        {
+            writer.WriteStringValue(TypeFormatters.ToString(value, format));
+        }
+
+        public static void WriteStringValue(this Utf8JsonWriter writer, char value)
+        {
+            writer.WriteStringValue(value.ToString(CultureInfo.InvariantCulture));
+        }
+
+        public static void WriteBase64StringValue(this Utf8JsonWriter writer, byte[] value, string format)
+        {
+            if (value == null)
+            {
+                writer.WriteNullValue();
+                return;
+            }
+            switch (format)
+            {
+                case "U":
+                    writer.WriteStringValue(TypeFormatters.ToBase64UrlString(value));
+                    break;
+                case "D":
+                    writer.WriteBase64StringValue(value);
+                    break;
+                default:
+                    throw new ArgumentException($"Format is not supported: '{format}'", nameof(format));
+            }
+        }
+
+        public static void WriteNumberValue(this Utf8JsonWriter writer, DateTimeOffset value, string format)
+        {
+            if (format != "U")
+            {
+                throw new ArgumentOutOfRangeException(nameof(format), "Only 'U' format is supported when writing a DateTimeOffset as a Number.");
+            }
+            writer.WriteNumberValue(value.ToUnixTimeSeconds());
+        }
+
+        public static void WriteObjectValue<T>(this Utf8JsonWriter writer, T value, ModelReaderWriterOptions options = null)
+        {
+            switch (value)
+            {
+                case null:
+                    writer.WriteNullValue();
+                    break;
+                case IJsonModel<T> jsonModel:
+                    jsonModel.Write(writer, options ?? WireOptions);
+                    break;
+                case IUtf8JsonSerializable serializable:
+                    serializable.Write(writer);
+                    break;
+                case byte[] bytes:
+                    writer.WriteBase64StringValue(bytes);
+                    break;
+                case BinaryData bytes0:
+                    writer.WriteBase64StringValue(bytes0);
+                    break;
+                case JsonElement json:
+                    json.WriteTo(writer);
+                    break;
+                case int i:
+                    writer.WriteNumberValue(i);
+                    break;
+                case decimal d:
+                    writer.WriteNumberValue(d);
+                    break;
+                case double d0:
+                    if (double.IsNaN(d0))
+                    {
+                        writer.WriteStringValue("NaN");
+                    }
+                    else
+                    {
+                        writer.WriteNumberValue(d0);
+                    }
+                    break;
+                case float f:
+                    writer.WriteNumberValue(f);
+                    break;
+                case long l:
+                    writer.WriteNumberValue(l);
+                    break;
+                case string s:
+                    writer.WriteStringValue(s);
+                    break;
+                case bool b:
+                    writer.WriteBooleanValue(b);
+                    break;
+                case Guid g:
+                    writer.WriteStringValue(g);
+                    break;
+                case DateTimeOffset dateTimeOffset:
+                    writer.WriteStringValue(dateTimeOffset, "O");
+                    break;
+                case DateTime dateTime:
+                    writer.WriteStringValue(dateTime, "O");
+                    break;
+                case IEnumerable<KeyValuePair<string, object>> enumerable:
+                    writer.WriteStartObject();
+                    foreach (var pair in enumerable)
+                    {
+                        writer.WritePropertyName(pair.Key);
+                        writer.WriteObjectValue<object>(pair.Value, options);
+                    }
+                    writer.WriteEndObject();
+                    break;
+                case IEnumerable<object> objectEnumerable:
+                    writer.WriteStartArray();
+                    foreach (var item in objectEnumerable)
+                    {
+                        writer.WriteObjectValue<object>(item, options);
+                    }
+                    writer.WriteEndArray();
+                    break;
+                case TimeSpan timeSpan:
+                    writer.WriteStringValue(timeSpan, "P");
+                    break;
+                default:
+                    throw new NotSupportedException($"Not supported type {value.GetType()}");
+            }
+        }
+
+        public static void WriteObjectValue(this Utf8JsonWriter writer, object value, ModelReaderWriterOptions options = null)
+        {
+            writer.WriteObjectValue<object>(value, options);
+        }
+
+        internal static class TypeFormatters
+        {
+            private const string RoundtripZFormat = "yyyy-MM-ddTHH:mm:ss.fffffffZ";
+            public const string DefaultNumberFormat = "G";
+
+            public static string ToString(bool value) => value ? "true" : "false";
+
+            public static string ToString(DateTime value, string format) => value.Kind switch
+            {
+                DateTimeKind.Utc => ToString((DateTimeOffset)value, format),
+                _ => throw new NotSupportedException($"DateTime {value} has a Kind of {value.Kind}. Azure SDK requires it to be UTC. You can call DateTime.SpecifyKind to change Kind property value to DateTimeKind.Utc.")
+            };
+
+            public static string ToString(DateTimeOffset value, string format) => format switch
+            {
+                "D" => value.ToString("yyyy-MM-dd", CultureInfo.InvariantCulture),
+                "U" => value.ToUnixTimeSeconds().ToString(CultureInfo.InvariantCulture),
+                "O" => value.ToUniversalTime().ToString(RoundtripZFormat, CultureInfo.InvariantCulture),
+                "o" => value.ToUniversalTime().ToString(RoundtripZFormat, CultureInfo.InvariantCulture),
+                "R" => value.ToString("r", CultureInfo.InvariantCulture),
+                _ => value.ToString(format, CultureInfo.InvariantCulture)
+            };
+
+            public static string ToString(TimeSpan value, string format) => format switch
+            {
+                "P" => XmlConvert.ToString(value),
+                _ => value.ToString(format, CultureInfo.InvariantCulture)
+            };
+
+            public static string ToString(byte[] value, string format) => format switch
+            {
+                "U" => ToBase64UrlString(value),
+                "D" => Convert.ToBase64String(value),
+                _ => throw new ArgumentException($"Format is not supported: '{format}'", nameof(format))
+            };
+
+            public static string ToBase64UrlString(byte[] value)
+            {
+                int numWholeOrPartialInputBlocks = checked(value.Length + 2) / 3;
+                int size = checked(numWholeOrPartialInputBlocks * 4);
+                char[] output = new char[size];
+
+                int numBase64Chars = Convert.ToBase64CharArray(value, 0, value.Length, output, 0);
+
+                int i = 0;
+                for (; i < numBase64Chars; i++)
+                {
+                    char ch = output[i];
+                    if (ch == '+')
+                    {
+                        output[i] = '-';
+                    }
+                    else
+                    {
+                        if (ch == '/')
+                        {
+                            output[i] = '_';
+                        }
+                        else
+                        {
+                            if (ch == '=')
+                            {
+                                break;
+                            }
+                        }
+                    }
+                }
+
+                return new string(output, 0, i);
+            }
+
+            public static byte[] FromBase64UrlString(string value)
+            {
+                int paddingCharsToAdd = (value.Length % 4) switch
+                {
+                    0 => 0,
+                    2 => 2,
+                    3 => 1,
+                    _ => throw new InvalidOperationException("Malformed input")
+                };
+                char[] output = new char[(value.Length + paddingCharsToAdd)];
+                int i = 0;
+                for (; i < value.Length; i++)
+                {
+                    char ch = value[i];
+                    if (ch == '-')
+                    {
+                        output[i] = '+';
+                    }
+                    else
+                    {
+                        if (ch == '_')
+                        {
+                            output[i] = '/';
+                        }
+                        else
+                        {
+                            output[i] = ch;
+                        }
+                    }
+                }
+
+                for (; i < output.Length; i++)
+                {
+                    output[i] = '=';
+                }
+
+                return Convert.FromBase64CharArray(output, 0, output.Length);
+            }
+
+            public static DateTimeOffset ParseDateTimeOffset(string value, string format) => format switch
+            {
+                "U" => DateTimeOffset.FromUnixTimeSeconds(long.Parse(value, CultureInfo.InvariantCulture)),
+                _ => DateTimeOffset.Parse(value, CultureInfo.InvariantCulture, DateTimeStyles.AssumeUniversal)
+            };
+
+            public static TimeSpan ParseTimeSpan(string value, string format) => format switch
+            {
+                "P" => XmlConvert.ToTimeSpan(value),
+                _ => TimeSpan.ParseExact(value, format, CultureInfo.InvariantCulture)
+            };
+
+            public static string ConvertToString(object value, string format = null) => value switch
+            {
+                null => "null",
+                string s => s,
+                bool b => ToString(b),
+                int or float or double or long or decimal => ((IFormattable)value).ToString(DefaultNumberFormat, CultureInfo.InvariantCulture),
+                byte[] b0 when format != null => ToString(b0, format),
+                IEnumerable<string> s0 => string.Join(",", s0),
+                DateTimeOffset dateTime when format != null => ToString(dateTime, format),
+                TimeSpan timeSpan when format != null => ToString(timeSpan, format),
+                TimeSpan timeSpan0 => XmlConvert.ToString(timeSpan0),
+                Guid guid => guid.ToString(),
+                BinaryData binaryData => ConvertToString(binaryData.ToArray(), format),
+                _ => value.ToString()
+            };
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/Optional.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/Optional.cs
new file mode 100644
index 000000000000..0b953e7a2697
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/Optional.cs
@@ -0,0 +1,51 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System.Collections.Generic;
+using System.Text.Json;
+
+namespace Azure.AI.Language.Authoring.Analyzetext
+{
+    internal static class Optional
+    {
+        public static bool IsCollectionDefined<T>(IEnumerable<T> collection)
+        {
+            return !(collection is ChangeTrackingList<T> changeTrackingList && changeTrackingList.IsUndefined);
+        }
+
+        public static bool IsCollectionDefined<TKey, TValue>(IDictionary<TKey, TValue> collection)
+        {
+            return !(collection is ChangeTrackingDictionary<TKey, TValue> changeTrackingDictionary && changeTrackingDictionary.IsUndefined);
+        }
+
+        public static bool IsCollectionDefined<TKey, TValue>(IReadOnlyDictionary<TKey, TValue> collection)
+        {
+            return !(collection is ChangeTrackingDictionary<TKey, TValue> changeTrackingDictionary && changeTrackingDictionary.IsUndefined);
+        }
+
+        public static bool IsDefined<T>(T? value)
+        where T : struct
+        {
+            return value.HasValue;
+        }
+
+        public static bool IsDefined(object value)
+        {
+            return value != null;
+        }
+
+        public static bool IsDefined(JsonElement value)
+        {
+            return value.ValueKind != JsonValueKind.Undefined;
+        }
+
+        public static bool IsDefined(string value)
+        {
+            return value != null;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/Utf8JsonRequestContent.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/Utf8JsonRequestContent.cs
new file mode 100644
index 000000000000..6c4d8df9e9f6
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Internal/Utf8JsonRequestContent.cs
@@ -0,0 +1,55 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System.IO;
+using System.Text.Json;
+using System.Threading;
+using System.Threading.Tasks;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext
+{
+    internal class Utf8JsonRequestContent : RequestContent
+    {
+        private readonly MemoryStream _stream;
+        private readonly RequestContent _content;
+
+        public Utf8JsonRequestContent()
+        {
+            _stream = new MemoryStream();
+            _content = Create(_stream);
+            JsonWriter = new Utf8JsonWriter(_stream);
+        }
+
+        public Utf8JsonWriter JsonWriter { get; }
+
+        public override async Task WriteToAsync(Stream stream, CancellationToken cancellationToken = default)
+        {
+            await JsonWriter.FlushAsync().ConfigureAwait(false);
+            await _content.WriteToAsync(stream, cancellationToken).ConfigureAwait(false);
+        }
+
+        public override void WriteTo(Stream stream, CancellationToken cancellationToken = default)
+        {
+            JsonWriter.Flush();
+            _content.WriteTo(stream, cancellationToken);
+        }
+
+        public override bool TryComputeLength(out long length)
+        {
+            length = JsonWriter.BytesCommitted + JsonWriter.BytesPending;
+            return true;
+        }
+
+        public override void Dispose()
+        {
+            JsonWriter.Dispose();
+            _content.Dispose();
+            _stream.Dispose();
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignDeploymentResourcesConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignDeploymentResourcesConfig.Serialization.cs
new file mode 100644
index 000000000000..210cb0b4db38
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignDeploymentResourcesConfig.Serialization.cs
@@ -0,0 +1,145 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class AssignDeploymentResourcesConfig : IUtf8JsonSerializable, IJsonModel<AssignDeploymentResourcesConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<AssignDeploymentResourcesConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<AssignDeploymentResourcesConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignDeploymentResourcesConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignDeploymentResourcesConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("resourcesMetadata"u8);
+            writer.WriteStartArray();
+            foreach (var item in ResourcesMetadata)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        AssignDeploymentResourcesConfig IJsonModel<AssignDeploymentResourcesConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignDeploymentResourcesConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignDeploymentResourcesConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeAssignDeploymentResourcesConfig(document.RootElement, options);
+        }
+
+        internal static AssignDeploymentResourcesConfig DeserializeAssignDeploymentResourcesConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<ResourceMetadata> resourcesMetadata = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("resourcesMetadata"u8))
+                {
+                    List<ResourceMetadata> array = new List<ResourceMetadata>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ResourceMetadata.DeserializeResourceMetadata(item, options));
+                    }
+                    resourcesMetadata = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new AssignDeploymentResourcesConfig(resourcesMetadata, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<AssignDeploymentResourcesConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignDeploymentResourcesConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(AssignDeploymentResourcesConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        AssignDeploymentResourcesConfig IPersistableModel<AssignDeploymentResourcesConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignDeploymentResourcesConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeAssignDeploymentResourcesConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(AssignDeploymentResourcesConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<AssignDeploymentResourcesConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static AssignDeploymentResourcesConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeAssignDeploymentResourcesConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignDeploymentResourcesConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignDeploymentResourcesConfig.cs
new file mode 100644
index 000000000000..14f58fb1907c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignDeploymentResourcesConfig.cs
@@ -0,0 +1,76 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the options for assigning Azure resources to a project. </summary>
+    public partial class AssignDeploymentResourcesConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="AssignDeploymentResourcesConfig"/>. </summary>
+        /// <param name="resourcesMetadata"> Represents the metadata for the resources to be assigned. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="resourcesMetadata"/> is null. </exception>
+        public AssignDeploymentResourcesConfig(IEnumerable<ResourceMetadata> resourcesMetadata)
+        {
+            Argument.AssertNotNull(resourcesMetadata, nameof(resourcesMetadata));
+
+            ResourcesMetadata = resourcesMetadata.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignDeploymentResourcesConfig"/>. </summary>
+        /// <param name="resourcesMetadata"> Represents the metadata for the resources to be assigned. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal AssignDeploymentResourcesConfig(IList<ResourceMetadata> resourcesMetadata, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ResourcesMetadata = resourcesMetadata;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignDeploymentResourcesConfig"/> for deserialization. </summary>
+        internal AssignDeploymentResourcesConfig()
+        {
+        }
+
+        /// <summary> Represents the metadata for the resources to be assigned. </summary>
+        public IList<ResourceMetadata> ResourcesMetadata { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedDeploymentResource.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedDeploymentResource.Serialization.cs
new file mode 100644
index 000000000000..2dbe4073ff88
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedDeploymentResource.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class AssignedDeploymentResource : IUtf8JsonSerializable, IJsonModel<AssignedDeploymentResource>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<AssignedDeploymentResource>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<AssignedDeploymentResource>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedDeploymentResource>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignedDeploymentResource)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("azureResourceId"u8);
+            writer.WriteStringValue(AzureResourceId);
+            writer.WritePropertyName("region"u8);
+            writer.WriteStringValue(Region);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        AssignedDeploymentResource IJsonModel<AssignedDeploymentResource>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedDeploymentResource>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignedDeploymentResource)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeAssignedDeploymentResource(document.RootElement, options);
+        }
+
+        internal static AssignedDeploymentResource DeserializeAssignedDeploymentResource(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string azureResourceId = default;
+            string region = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("azureResourceId"u8))
+                {
+                    azureResourceId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("region"u8))
+                {
+                    region = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new AssignedDeploymentResource(azureResourceId, region, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<AssignedDeploymentResource>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedDeploymentResource>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(AssignedDeploymentResource)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        AssignedDeploymentResource IPersistableModel<AssignedDeploymentResource>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedDeploymentResource>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeAssignedDeploymentResource(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(AssignedDeploymentResource)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<AssignedDeploymentResource>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static AssignedDeploymentResource FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeAssignedDeploymentResource(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedDeploymentResource.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedDeploymentResource.cs
new file mode 100644
index 000000000000..14f083568579
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedDeploymentResource.cs
@@ -0,0 +1,82 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the assigned deployment resource. </summary>
+    public partial class AssignedDeploymentResource
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="AssignedDeploymentResource"/>. </summary>
+        /// <param name="azureResourceId"> The resource ID. </param>
+        /// <param name="region"> The resource region. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="azureResourceId"/> or <paramref name="region"/> is null. </exception>
+        internal AssignedDeploymentResource(string azureResourceId, string region)
+        {
+            Argument.AssertNotNull(azureResourceId, nameof(azureResourceId));
+            Argument.AssertNotNull(region, nameof(region));
+
+            AzureResourceId = azureResourceId;
+            Region = region;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignedDeploymentResource"/>. </summary>
+        /// <param name="azureResourceId"> The resource ID. </param>
+        /// <param name="region"> The resource region. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal AssignedDeploymentResource(string azureResourceId, string region, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            AzureResourceId = azureResourceId;
+            Region = region;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignedDeploymentResource"/> for deserialization. </summary>
+        internal AssignedDeploymentResource()
+        {
+        }
+
+        /// <summary> The resource ID. </summary>
+        public string AzureResourceId { get; }
+        /// <summary> The resource region. </summary>
+        public string Region { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedProjectDeploymentMetadata.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedProjectDeploymentMetadata.Serialization.cs
new file mode 100644
index 000000000000..d8a36997689a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedProjectDeploymentMetadata.Serialization.cs
@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class AssignedProjectDeploymentMetadata : IUtf8JsonSerializable, IJsonModel<AssignedProjectDeploymentMetadata>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<AssignedProjectDeploymentMetadata>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<AssignedProjectDeploymentMetadata>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedProjectDeploymentMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignedProjectDeploymentMetadata)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("deploymentName"u8);
+            writer.WriteStringValue(DeploymentName);
+            writer.WritePropertyName("lastDeployedDateTime"u8);
+            writer.WriteStringValue(LastDeployedDateTime, "O");
+            writer.WritePropertyName("deploymentExpirationDate"u8);
+            writer.WriteStringValue(DeploymentExpirationDate, "D");
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        AssignedProjectDeploymentMetadata IJsonModel<AssignedProjectDeploymentMetadata>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedProjectDeploymentMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignedProjectDeploymentMetadata)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeAssignedProjectDeploymentMetadata(document.RootElement, options);
+        }
+
+        internal static AssignedProjectDeploymentMetadata DeserializeAssignedProjectDeploymentMetadata(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string deploymentName = default;
+            DateTimeOffset lastDeployedDateTime = default;
+            DateTimeOffset deploymentExpirationDate = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("deploymentName"u8))
+                {
+                    deploymentName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("lastDeployedDateTime"u8))
+                {
+                    lastDeployedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("deploymentExpirationDate"u8))
+                {
+                    deploymentExpirationDate = property.Value.GetDateTimeOffset("D");
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new AssignedProjectDeploymentMetadata(deploymentName, lastDeployedDateTime, deploymentExpirationDate, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<AssignedProjectDeploymentMetadata>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedProjectDeploymentMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(AssignedProjectDeploymentMetadata)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        AssignedProjectDeploymentMetadata IPersistableModel<AssignedProjectDeploymentMetadata>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedProjectDeploymentMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeAssignedProjectDeploymentMetadata(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(AssignedProjectDeploymentMetadata)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<AssignedProjectDeploymentMetadata>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static AssignedProjectDeploymentMetadata FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeAssignedProjectDeploymentMetadata(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedProjectDeploymentMetadata.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedProjectDeploymentMetadata.cs
new file mode 100644
index 000000000000..5b6115884e7a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedProjectDeploymentMetadata.cs
@@ -0,0 +1,87 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the metadata for an assigned deployment. </summary>
+    public partial class AssignedProjectDeploymentMetadata
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="AssignedProjectDeploymentMetadata"/>. </summary>
+        /// <param name="deploymentName"> Represents the deployment name. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="deploymentName"/> is null. </exception>
+        internal AssignedProjectDeploymentMetadata(string deploymentName, DateTimeOffset lastDeployedDateTime, DateTimeOffset deploymentExpirationDate)
+        {
+            Argument.AssertNotNull(deploymentName, nameof(deploymentName));
+
+            DeploymentName = deploymentName;
+            LastDeployedDateTime = lastDeployedDateTime;
+            DeploymentExpirationDate = deploymentExpirationDate;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignedProjectDeploymentMetadata"/>. </summary>
+        /// <param name="deploymentName"> Represents the deployment name. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal AssignedProjectDeploymentMetadata(string deploymentName, DateTimeOffset lastDeployedDateTime, DateTimeOffset deploymentExpirationDate, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            DeploymentName = deploymentName;
+            LastDeployedDateTime = lastDeployedDateTime;
+            DeploymentExpirationDate = deploymentExpirationDate;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignedProjectDeploymentMetadata"/> for deserialization. </summary>
+        internal AssignedProjectDeploymentMetadata()
+        {
+        }
+
+        /// <summary> Represents the deployment name. </summary>
+        public string DeploymentName { get; }
+        /// <summary> Represents deployment last deployed time. </summary>
+        public DateTimeOffset LastDeployedDateTime { get; }
+        /// <summary> Represents deployment expiration date in the runtime. </summary>
+        public DateTimeOffset DeploymentExpirationDate { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedProjectDeploymentsMetadata.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedProjectDeploymentsMetadata.Serialization.cs
new file mode 100644
index 000000000000..c8d9a4d4f5d9
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedProjectDeploymentsMetadata.Serialization.cs
@@ -0,0 +1,153 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class AssignedProjectDeploymentsMetadata : IUtf8JsonSerializable, IJsonModel<AssignedProjectDeploymentsMetadata>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<AssignedProjectDeploymentsMetadata>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<AssignedProjectDeploymentsMetadata>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedProjectDeploymentsMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignedProjectDeploymentsMetadata)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectName"u8);
+            writer.WriteStringValue(ProjectName);
+            writer.WritePropertyName("deploymentsMetadata"u8);
+            writer.WriteStartArray();
+            foreach (var item in DeploymentsMetadata)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        AssignedProjectDeploymentsMetadata IJsonModel<AssignedProjectDeploymentsMetadata>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedProjectDeploymentsMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignedProjectDeploymentsMetadata)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeAssignedProjectDeploymentsMetadata(document.RootElement, options);
+        }
+
+        internal static AssignedProjectDeploymentsMetadata DeserializeAssignedProjectDeploymentsMetadata(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string projectName = default;
+            IReadOnlyList<AssignedProjectDeploymentMetadata> deploymentsMetadata = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("projectName"u8))
+                {
+                    projectName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("deploymentsMetadata"u8))
+                {
+                    List<AssignedProjectDeploymentMetadata> array = new List<AssignedProjectDeploymentMetadata>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AssignedProjectDeploymentMetadata.DeserializeAssignedProjectDeploymentMetadata(item, options));
+                    }
+                    deploymentsMetadata = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new AssignedProjectDeploymentsMetadata(projectName, deploymentsMetadata, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<AssignedProjectDeploymentsMetadata>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedProjectDeploymentsMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(AssignedProjectDeploymentsMetadata)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        AssignedProjectDeploymentsMetadata IPersistableModel<AssignedProjectDeploymentsMetadata>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedProjectDeploymentsMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeAssignedProjectDeploymentsMetadata(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(AssignedProjectDeploymentsMetadata)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<AssignedProjectDeploymentsMetadata>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static AssignedProjectDeploymentsMetadata FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeAssignedProjectDeploymentsMetadata(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedProjectDeploymentsMetadata.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedProjectDeploymentsMetadata.cs
new file mode 100644
index 000000000000..8fa1d8ee62a8
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/AssignedProjectDeploymentsMetadata.cs
@@ -0,0 +1,83 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the metadata for assigned deployments for a project. </summary>
+    public partial class AssignedProjectDeploymentsMetadata
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="AssignedProjectDeploymentsMetadata"/>. </summary>
+        /// <param name="projectName"> Represents the project name. </param>
+        /// <param name="deploymentsMetadata"> Represents the resource region. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="deploymentsMetadata"/> is null. </exception>
+        internal AssignedProjectDeploymentsMetadata(string projectName, IEnumerable<AssignedProjectDeploymentMetadata> deploymentsMetadata)
+        {
+            Argument.AssertNotNull(projectName, nameof(projectName));
+            Argument.AssertNotNull(deploymentsMetadata, nameof(deploymentsMetadata));
+
+            ProjectName = projectName;
+            DeploymentsMetadata = deploymentsMetadata.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignedProjectDeploymentsMetadata"/>. </summary>
+        /// <param name="projectName"> Represents the project name. </param>
+        /// <param name="deploymentsMetadata"> Represents the resource region. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal AssignedProjectDeploymentsMetadata(string projectName, IReadOnlyList<AssignedProjectDeploymentMetadata> deploymentsMetadata, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ProjectName = projectName;
+            DeploymentsMetadata = deploymentsMetadata;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignedProjectDeploymentsMetadata"/> for deserialization. </summary>
+        internal AssignedProjectDeploymentsMetadata()
+        {
+        }
+
+        /// <summary> Represents the project name. </summary>
+        public string ProjectName { get; }
+        /// <summary> Represents the resource region. </summary>
+        public IReadOnlyList<AssignedProjectDeploymentMetadata> DeploymentsMetadata { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CompositionSetting.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CompositionSetting.cs
new file mode 100644
index 000000000000..7df658484817
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CompositionSetting.cs
@@ -0,0 +1,57 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The CompositionSetting. </summary>
+    public readonly partial struct CompositionSetting : IEquatable<CompositionSetting>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="CompositionSetting"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public CompositionSetting(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string SeparateComponentsValue = "separateComponents";
+        private const string CombineComponentsValue = "combineComponents";
+
+        /// <summary>
+        /// Every component's match or prediction is returned as a separate instance of the
+        /// entity.
+        /// </summary>
+        public static CompositionSetting SeparateComponents { get; } = new CompositionSetting(SeparateComponentsValue);
+        /// <summary>
+        /// When two or more components are found in the text and overlap, the components'
+        /// spans are merged together into one span combining all of them.
+        /// </summary>
+        public static CompositionSetting CombineComponents { get; } = new CompositionSetting(CombineComponentsValue);
+        /// <summary> Determines if two <see cref="CompositionSetting"/> values are the same. </summary>
+        public static bool operator ==(CompositionSetting left, CompositionSetting right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="CompositionSetting"/> values are not the same. </summary>
+        public static bool operator !=(CompositionSetting left, CompositionSetting right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="CompositionSetting"/>. </summary>
+        public static implicit operator CompositionSetting(string value) => new CompositionSetting(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is CompositionSetting other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(CompositionSetting other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrix.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrix.Serialization.cs
new file mode 100644
index 000000000000..174939d1c9d1
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrix.Serialization.cs
@@ -0,0 +1,121 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ConfusionMatrix : IUtf8JsonSerializable, IJsonModel<ConfusionMatrix>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ConfusionMatrix>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ConfusionMatrix>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrix>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConfusionMatrix)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            foreach (var item in AdditionalProperties)
+            {
+                writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                using (JsonDocument document = JsonDocument.Parse(item.Value))
+                {
+                    JsonSerializer.Serialize(writer, document.RootElement);
+                }
+#endif
+            }
+            writer.WriteEndObject();
+        }
+
+        ConfusionMatrix IJsonModel<ConfusionMatrix>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrix>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConfusionMatrix)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeConfusionMatrix(document.RootElement, options);
+        }
+
+        internal static ConfusionMatrix DeserializeConfusionMatrix(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IReadOnlyDictionary<string, BinaryData> additionalProperties = default;
+            Dictionary<string, BinaryData> additionalPropertiesDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                additionalPropertiesDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+            }
+            additionalProperties = additionalPropertiesDictionary;
+            return new ConfusionMatrix(additionalProperties);
+        }
+
+        BinaryData IPersistableModel<ConfusionMatrix>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrix>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ConfusionMatrix)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ConfusionMatrix IPersistableModel<ConfusionMatrix>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrix>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeConfusionMatrix(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ConfusionMatrix)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ConfusionMatrix>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ConfusionMatrix FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeConfusionMatrix(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrix.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrix.cs
new file mode 100644
index 000000000000..75ad5df97cde
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrix.cs
@@ -0,0 +1,69 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The ConfusionMatrix. </summary>
+    public partial class ConfusionMatrix
+    {
+        /// <summary> Initializes a new instance of <see cref="ConfusionMatrix"/>. </summary>
+        internal ConfusionMatrix()
+        {
+            AdditionalProperties = new ChangeTrackingDictionary<string, BinaryData>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ConfusionMatrix"/>. </summary>
+        /// <param name="additionalProperties"> Additional Properties. </param>
+        internal ConfusionMatrix(IReadOnlyDictionary<string, BinaryData> additionalProperties)
+        {
+            AdditionalProperties = additionalProperties;
+        }
+
+        /// <summary>
+        /// Additional Properties
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// <remarks>
+        /// Supported types:
+        /// <list type="bullet">
+        /// <item>
+        /// <description><see cref="ConfusionMatrixRow"/></description>
+        /// </item>
+        /// </list>
+        /// </remarks>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        public IReadOnlyDictionary<string, BinaryData> AdditionalProperties { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrixCell.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrixCell.Serialization.cs
new file mode 100644
index 000000000000..41499849b88c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrixCell.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ConfusionMatrixCell : IUtf8JsonSerializable, IJsonModel<ConfusionMatrixCell>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ConfusionMatrixCell>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ConfusionMatrixCell>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrixCell>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConfusionMatrixCell)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("normalizedValue"u8);
+            writer.WriteNumberValue(NormalizedValue);
+            writer.WritePropertyName("rawValue"u8);
+            writer.WriteNumberValue(RawValue);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ConfusionMatrixCell IJsonModel<ConfusionMatrixCell>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrixCell>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConfusionMatrixCell)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeConfusionMatrixCell(document.RootElement, options);
+        }
+
+        internal static ConfusionMatrixCell DeserializeConfusionMatrixCell(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            float normalizedValue = default;
+            float rawValue = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("normalizedValue"u8))
+                {
+                    normalizedValue = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("rawValue"u8))
+                {
+                    rawValue = property.Value.GetSingle();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ConfusionMatrixCell(normalizedValue, rawValue, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ConfusionMatrixCell>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrixCell>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ConfusionMatrixCell)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ConfusionMatrixCell IPersistableModel<ConfusionMatrixCell>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrixCell>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeConfusionMatrixCell(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ConfusionMatrixCell)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ConfusionMatrixCell>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ConfusionMatrixCell FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeConfusionMatrixCell(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrixCell.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrixCell.cs
new file mode 100644
index 000000000000..bc821bdae2ec
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrixCell.cs
@@ -0,0 +1,78 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents a cell in a confusion matrix. </summary>
+    public partial class ConfusionMatrixCell
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ConfusionMatrixCell"/>. </summary>
+        /// <param name="normalizedValue"> Represents normalized value in percentages. </param>
+        /// <param name="rawValue"> Represents raw value. </param>
+        internal ConfusionMatrixCell(float normalizedValue, float rawValue)
+        {
+            NormalizedValue = normalizedValue;
+            RawValue = rawValue;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ConfusionMatrixCell"/>. </summary>
+        /// <param name="normalizedValue"> Represents normalized value in percentages. </param>
+        /// <param name="rawValue"> Represents raw value. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ConfusionMatrixCell(float normalizedValue, float rawValue, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            NormalizedValue = normalizedValue;
+            RawValue = rawValue;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ConfusionMatrixCell"/> for deserialization. </summary>
+        internal ConfusionMatrixCell()
+        {
+        }
+
+        /// <summary> Represents normalized value in percentages. </summary>
+        public float NormalizedValue { get; }
+        /// <summary> Represents raw value. </summary>
+        public float RawValue { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrixRow.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrixRow.Serialization.cs
new file mode 100644
index 000000000000..c244ec5d102a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrixRow.Serialization.cs
@@ -0,0 +1,121 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ConfusionMatrixRow : IUtf8JsonSerializable, IJsonModel<ConfusionMatrixRow>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ConfusionMatrixRow>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ConfusionMatrixRow>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrixRow>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConfusionMatrixRow)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            foreach (var item in AdditionalProperties)
+            {
+                writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                using (JsonDocument document = JsonDocument.Parse(item.Value))
+                {
+                    JsonSerializer.Serialize(writer, document.RootElement);
+                }
+#endif
+            }
+            writer.WriteEndObject();
+        }
+
+        ConfusionMatrixRow IJsonModel<ConfusionMatrixRow>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrixRow>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConfusionMatrixRow)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeConfusionMatrixRow(document.RootElement, options);
+        }
+
+        internal static ConfusionMatrixRow DeserializeConfusionMatrixRow(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IReadOnlyDictionary<string, BinaryData> additionalProperties = default;
+            Dictionary<string, BinaryData> additionalPropertiesDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                additionalPropertiesDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+            }
+            additionalProperties = additionalPropertiesDictionary;
+            return new ConfusionMatrixRow(additionalProperties);
+        }
+
+        BinaryData IPersistableModel<ConfusionMatrixRow>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrixRow>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ConfusionMatrixRow)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ConfusionMatrixRow IPersistableModel<ConfusionMatrixRow>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrixRow>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeConfusionMatrixRow(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ConfusionMatrixRow)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ConfusionMatrixRow>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ConfusionMatrixRow FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeConfusionMatrixRow(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrixRow.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrixRow.cs
new file mode 100644
index 000000000000..9dfd8c9f28c6
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ConfusionMatrixRow.cs
@@ -0,0 +1,69 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The ConfusionMatrixRow. </summary>
+    public partial class ConfusionMatrixRow
+    {
+        /// <summary> Initializes a new instance of <see cref="ConfusionMatrixRow"/>. </summary>
+        internal ConfusionMatrixRow()
+        {
+            AdditionalProperties = new ChangeTrackingDictionary<string, BinaryData>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ConfusionMatrixRow"/>. </summary>
+        /// <param name="additionalProperties"> Additional Properties. </param>
+        internal ConfusionMatrixRow(IReadOnlyDictionary<string, BinaryData> additionalProperties)
+        {
+            AdditionalProperties = additionalProperties;
+        }
+
+        /// <summary>
+        /// Additional Properties
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// <remarks>
+        /// Supported types:
+        /// <list type="bullet">
+        /// <item>
+        /// <description><see cref="ConfusionMatrixCell"/></description>
+        /// </item>
+        /// </list>
+        /// </remarks>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        public IReadOnlyDictionary<string, BinaryData> AdditionalProperties { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CopyProjectAuthorizationRequest.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CopyProjectAuthorizationRequest.Serialization.cs
new file mode 100644
index 000000000000..2d44b40fce8b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CopyProjectAuthorizationRequest.Serialization.cs
@@ -0,0 +1,161 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    internal partial class CopyProjectAuthorizationRequest : IUtf8JsonSerializable, IJsonModel<CopyProjectAuthorizationRequest>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CopyProjectAuthorizationRequest>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CopyProjectAuthorizationRequest>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CopyProjectAuthorizationRequest>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CopyProjectAuthorizationRequest)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            if (Optional.IsDefined(StorageInputContainerName))
+            {
+                writer.WritePropertyName("storageInputContainerName"u8);
+                writer.WriteStringValue(StorageInputContainerName);
+            }
+            if (Optional.IsDefined(AllowOverwrite))
+            {
+                writer.WritePropertyName("allowOverwrite"u8);
+                writer.WriteBooleanValue(AllowOverwrite.Value);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CopyProjectAuthorizationRequest IJsonModel<CopyProjectAuthorizationRequest>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CopyProjectAuthorizationRequest>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CopyProjectAuthorizationRequest)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCopyProjectAuthorizationRequest(document.RootElement, options);
+        }
+
+        internal static CopyProjectAuthorizationRequest DeserializeCopyProjectAuthorizationRequest(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ProjectKind projectKind = default;
+            string storageInputContainerName = default;
+            bool? allowOverwrite = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("storageInputContainerName"u8))
+                {
+                    storageInputContainerName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("allowOverwrite"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    allowOverwrite = property.Value.GetBoolean();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CopyProjectAuthorizationRequest(projectKind, storageInputContainerName, allowOverwrite, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<CopyProjectAuthorizationRequest>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CopyProjectAuthorizationRequest>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CopyProjectAuthorizationRequest)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CopyProjectAuthorizationRequest IPersistableModel<CopyProjectAuthorizationRequest>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CopyProjectAuthorizationRequest>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCopyProjectAuthorizationRequest(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CopyProjectAuthorizationRequest)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CopyProjectAuthorizationRequest>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static CopyProjectAuthorizationRequest FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCopyProjectAuthorizationRequest(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CopyProjectAuthorizationRequest.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CopyProjectAuthorizationRequest.cs
new file mode 100644
index 000000000000..5ada1fde5c1e
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CopyProjectAuthorizationRequest.cs
@@ -0,0 +1,86 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The CopyProjectAuthorizationRequest. </summary>
+    internal partial class CopyProjectAuthorizationRequest
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="CopyProjectAuthorizationRequest"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        internal CopyProjectAuthorizationRequest(ProjectKind projectKind)
+        {
+            ProjectKind = projectKind;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CopyProjectAuthorizationRequest"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="storageInputContainerName"> The name of the storage container. </param>
+        /// <param name="allowOverwrite">
+        /// Whether to allow an existing project to be overwritten using the resulting copy
+        /// authorization.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal CopyProjectAuthorizationRequest(ProjectKind projectKind, string storageInputContainerName, bool? allowOverwrite, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ProjectKind = projectKind;
+            StorageInputContainerName = storageInputContainerName;
+            AllowOverwrite = allowOverwrite;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CopyProjectAuthorizationRequest"/> for deserialization. </summary>
+        internal CopyProjectAuthorizationRequest()
+        {
+        }
+
+        /// <summary> Represents the project kind. </summary>
+        public ProjectKind ProjectKind { get; }
+        /// <summary> The name of the storage container. </summary>
+        public string StorageInputContainerName { get; }
+        /// <summary>
+        /// Whether to allow an existing project to be overwritten using the resulting copy
+        /// authorization.
+        /// </summary>
+        public bool? AllowOverwrite { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CopyProjectConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CopyProjectConfig.Serialization.cs
new file mode 100644
index 000000000000..75063381b31c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CopyProjectConfig.Serialization.cs
@@ -0,0 +1,182 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class CopyProjectConfig : IUtf8JsonSerializable, IJsonModel<CopyProjectConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CopyProjectConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CopyProjectConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CopyProjectConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CopyProjectConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("targetProjectName"u8);
+            writer.WriteStringValue(TargetProjectName);
+            writer.WritePropertyName("accessToken"u8);
+            writer.WriteStringValue(AccessToken);
+            writer.WritePropertyName("expiresAt"u8);
+            writer.WriteStringValue(ExpiresAt, "O");
+            writer.WritePropertyName("targetResourceId"u8);
+            writer.WriteStringValue(TargetResourceId);
+            writer.WritePropertyName("targetResourceRegion"u8);
+            writer.WriteStringValue(TargetResourceRegion);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CopyProjectConfig IJsonModel<CopyProjectConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CopyProjectConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CopyProjectConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCopyProjectConfig(document.RootElement, options);
+        }
+
+        internal static CopyProjectConfig DeserializeCopyProjectConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ProjectKind projectKind = default;
+            string targetProjectName = default;
+            string accessToken = default;
+            DateTimeOffset expiresAt = default;
+            string targetResourceId = default;
+            string targetResourceRegion = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("targetProjectName"u8))
+                {
+                    targetProjectName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("accessToken"u8))
+                {
+                    accessToken = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("expiresAt"u8))
+                {
+                    expiresAt = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("targetResourceId"u8))
+                {
+                    targetResourceId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("targetResourceRegion"u8))
+                {
+                    targetResourceRegion = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CopyProjectConfig(
+                projectKind,
+                targetProjectName,
+                accessToken,
+                expiresAt,
+                targetResourceId,
+                targetResourceRegion,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<CopyProjectConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CopyProjectConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CopyProjectConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CopyProjectConfig IPersistableModel<CopyProjectConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CopyProjectConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCopyProjectConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CopyProjectConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CopyProjectConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static CopyProjectConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCopyProjectConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CopyProjectConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CopyProjectConfig.cs
new file mode 100644
index 000000000000..9602acd452df
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CopyProjectConfig.cs
@@ -0,0 +1,111 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents the options for copying an existing project to another Azure
+    /// resource.
+    /// </summary>
+    public partial class CopyProjectConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="CopyProjectConfig"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="targetProjectName"> The project name to be copied-into. </param>
+        /// <param name="accessToken"> The access token. </param>
+        /// <param name="expiresAt"> The expiration of the access token. </param>
+        /// <param name="targetResourceId"> Represents the target Azure resource ID. </param>
+        /// <param name="targetResourceRegion"> Represents the target Azure resource region. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="targetProjectName"/>, <paramref name="accessToken"/>, <paramref name="targetResourceId"/> or <paramref name="targetResourceRegion"/> is null. </exception>
+        public CopyProjectConfig(ProjectKind projectKind, string targetProjectName, string accessToken, DateTimeOffset expiresAt, string targetResourceId, string targetResourceRegion)
+        {
+            Argument.AssertNotNull(targetProjectName, nameof(targetProjectName));
+            Argument.AssertNotNull(accessToken, nameof(accessToken));
+            Argument.AssertNotNull(targetResourceId, nameof(targetResourceId));
+            Argument.AssertNotNull(targetResourceRegion, nameof(targetResourceRegion));
+
+            ProjectKind = projectKind;
+            TargetProjectName = targetProjectName;
+            AccessToken = accessToken;
+            ExpiresAt = expiresAt;
+            TargetResourceId = targetResourceId;
+            TargetResourceRegion = targetResourceRegion;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CopyProjectConfig"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="targetProjectName"> The project name to be copied-into. </param>
+        /// <param name="accessToken"> The access token. </param>
+        /// <param name="expiresAt"> The expiration of the access token. </param>
+        /// <param name="targetResourceId"> Represents the target Azure resource ID. </param>
+        /// <param name="targetResourceRegion"> Represents the target Azure resource region. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal CopyProjectConfig(ProjectKind projectKind, string targetProjectName, string accessToken, DateTimeOffset expiresAt, string targetResourceId, string targetResourceRegion, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ProjectKind = projectKind;
+            TargetProjectName = targetProjectName;
+            AccessToken = accessToken;
+            ExpiresAt = expiresAt;
+            TargetResourceId = targetResourceId;
+            TargetResourceRegion = targetResourceRegion;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CopyProjectConfig"/> for deserialization. </summary>
+        internal CopyProjectConfig()
+        {
+        }
+
+        /// <summary> Represents the project kind. </summary>
+        public ProjectKind ProjectKind { get; set; }
+        /// <summary> The project name to be copied-into. </summary>
+        public string TargetProjectName { get; set; }
+        /// <summary> The access token. </summary>
+        public string AccessToken { get; set; }
+        /// <summary> The expiration of the access token. </summary>
+        public DateTimeOffset ExpiresAt { get; set; }
+        /// <summary> Represents the target Azure resource ID. </summary>
+        public string TargetResourceId { get; set; }
+        /// <summary> Represents the target Azure resource region. </summary>
+        public string TargetResourceRegion { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CreateDeploymentConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CreateDeploymentConfig.Serialization.cs
new file mode 100644
index 000000000000..ed3a157be0cf
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CreateDeploymentConfig.Serialization.cs
@@ -0,0 +1,160 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class CreateDeploymentConfig : IUtf8JsonSerializable, IJsonModel<CreateDeploymentConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CreateDeploymentConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CreateDeploymentConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CreateDeploymentConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CreateDeploymentConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("trainedModelLabel"u8);
+            writer.WriteStringValue(TrainedModelLabel);
+            if (Optional.IsCollectionDefined(AssignedResourceIds))
+            {
+                writer.WritePropertyName("assignedResourceIds"u8);
+                writer.WriteStartArray();
+                foreach (var item in AssignedResourceIds)
+                {
+                    writer.WriteStringValue(item);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CreateDeploymentConfig IJsonModel<CreateDeploymentConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CreateDeploymentConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CreateDeploymentConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCreateDeploymentConfig(document.RootElement, options);
+        }
+
+        internal static CreateDeploymentConfig DeserializeCreateDeploymentConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string trainedModelLabel = default;
+            IList<string> assignedResourceIds = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("trainedModelLabel"u8))
+                {
+                    trainedModelLabel = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("assignedResourceIds"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<string> array = new List<string>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(item.GetString());
+                    }
+                    assignedResourceIds = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CreateDeploymentConfig(trainedModelLabel, assignedResourceIds ?? new ChangeTrackingList<string>(), serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<CreateDeploymentConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CreateDeploymentConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CreateDeploymentConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CreateDeploymentConfig IPersistableModel<CreateDeploymentConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CreateDeploymentConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCreateDeploymentConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CreateDeploymentConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CreateDeploymentConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static CreateDeploymentConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCreateDeploymentConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CreateDeploymentConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CreateDeploymentConfig.cs
new file mode 100644
index 000000000000..c1c9d44c9385
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CreateDeploymentConfig.cs
@@ -0,0 +1,88 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the options for creating or updating a project deployment. </summary>
+    public partial class CreateDeploymentConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="CreateDeploymentConfig"/>. </summary>
+        /// <param name="trainedModelLabel"> Represents the trained model label. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="trainedModelLabel"/> is null. </exception>
+        public CreateDeploymentConfig(string trainedModelLabel)
+        {
+            Argument.AssertNotNull(trainedModelLabel, nameof(trainedModelLabel));
+
+            TrainedModelLabel = trainedModelLabel;
+            AssignedResourceIds = new ChangeTrackingList<string>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CreateDeploymentConfig"/>. </summary>
+        /// <param name="trainedModelLabel"> Represents the trained model label. </param>
+        /// <param name="assignedResourceIds">
+        /// Represents the resource IDs to be assigned to the deployment.
+        /// If provided, the deployment will be rolled out to the resources
+        /// provided here as well as the original resource in which the project is created.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal CreateDeploymentConfig(string trainedModelLabel, IList<string> assignedResourceIds, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            TrainedModelLabel = trainedModelLabel;
+            AssignedResourceIds = assignedResourceIds;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CreateDeploymentConfig"/> for deserialization. </summary>
+        internal CreateDeploymentConfig()
+        {
+        }
+
+        /// <summary> Represents the trained model label. </summary>
+        public string TrainedModelLabel { get; }
+        /// <summary>
+        /// Represents the resource IDs to be assigned to the deployment.
+        /// If provided, the deployment will be rolled out to the resources
+        /// provided here as well as the original resource in which the project is created.
+        /// </summary>
+        public IList<string> AssignedResourceIds { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CreateProjectConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CreateProjectConfig.Serialization.cs
new file mode 100644
index 000000000000..1ed5a27cb6e0
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CreateProjectConfig.Serialization.cs
@@ -0,0 +1,208 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class CreateProjectConfig : IUtf8JsonSerializable, IJsonModel<CreateProjectConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CreateProjectConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CreateProjectConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CreateProjectConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CreateProjectConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("storageInputContainerName"u8);
+            writer.WriteStringValue(StorageInputContainerName);
+            if (Optional.IsDefined(Settings))
+            {
+                writer.WritePropertyName("settings"u8);
+                writer.WriteObjectValue(Settings, options);
+            }
+            writer.WritePropertyName("projectName"u8);
+            writer.WriteStringValue(ProjectName);
+            if (Optional.IsDefined(Multilingual))
+            {
+                writer.WritePropertyName("multilingual"u8);
+                writer.WriteBooleanValue(Multilingual.Value);
+            }
+            if (Optional.IsDefined(Description))
+            {
+                writer.WritePropertyName("description"u8);
+                writer.WriteStringValue(Description);
+            }
+            writer.WritePropertyName("language"u8);
+            writer.WriteStringValue(Language);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CreateProjectConfig IJsonModel<CreateProjectConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CreateProjectConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CreateProjectConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCreateProjectConfig(document.RootElement, options);
+        }
+
+        internal static CreateProjectConfig DeserializeCreateProjectConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ProjectKind projectKind = default;
+            string storageInputContainerName = default;
+            ProjectSettings settings = default;
+            string projectName = default;
+            bool? multilingual = default;
+            string description = default;
+            string language = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("storageInputContainerName"u8))
+                {
+                    storageInputContainerName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("settings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    settings = ProjectSettings.DeserializeProjectSettings(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("projectName"u8))
+                {
+                    projectName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("multilingual"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    multilingual = property.Value.GetBoolean();
+                    continue;
+                }
+                if (property.NameEquals("description"u8))
+                {
+                    description = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CreateProjectConfig(
+                projectKind,
+                storageInputContainerName,
+                settings,
+                projectName,
+                multilingual,
+                description,
+                language,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<CreateProjectConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CreateProjectConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CreateProjectConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CreateProjectConfig IPersistableModel<CreateProjectConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CreateProjectConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCreateProjectConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CreateProjectConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CreateProjectConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static CreateProjectConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCreateProjectConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CreateProjectConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CreateProjectConfig.cs
new file mode 100644
index 000000000000..20536be9e83a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CreateProjectConfig.cs
@@ -0,0 +1,116 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the options used to create or update a project. </summary>
+    public partial class CreateProjectConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="CreateProjectConfig"/>. </summary>
+        /// <param name="projectKind"> The project kind. </param>
+        /// <param name="storageInputContainerName"> The storage container name. </param>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="language">
+        /// The project language. This is BCP-47 representation of a language. For example,
+        /// use "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="storageInputContainerName"/>, <paramref name="projectName"/> or <paramref name="language"/> is null. </exception>
+        public CreateProjectConfig(ProjectKind projectKind, string storageInputContainerName, string projectName, string language)
+        {
+            Argument.AssertNotNull(storageInputContainerName, nameof(storageInputContainerName));
+            Argument.AssertNotNull(projectName, nameof(projectName));
+            Argument.AssertNotNull(language, nameof(language));
+
+            ProjectKind = projectKind;
+            StorageInputContainerName = storageInputContainerName;
+            ProjectName = projectName;
+            Language = language;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CreateProjectConfig"/>. </summary>
+        /// <param name="projectKind"> The project kind. </param>
+        /// <param name="storageInputContainerName"> The storage container name. </param>
+        /// <param name="settings"> The project settings. </param>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="multilingual"> Whether the project would be used for multiple languages or not. </param>
+        /// <param name="description"> The project description. </param>
+        /// <param name="language">
+        /// The project language. This is BCP-47 representation of a language. For example,
+        /// use "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal CreateProjectConfig(ProjectKind projectKind, string storageInputContainerName, ProjectSettings settings, string projectName, bool? multilingual, string description, string language, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ProjectKind = projectKind;
+            StorageInputContainerName = storageInputContainerName;
+            Settings = settings;
+            ProjectName = projectName;
+            Multilingual = multilingual;
+            Description = description;
+            Language = language;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CreateProjectConfig"/> for deserialization. </summary>
+        internal CreateProjectConfig()
+        {
+        }
+
+        /// <summary> The project kind. </summary>
+        public ProjectKind ProjectKind { get; }
+        /// <summary> The storage container name. </summary>
+        public string StorageInputContainerName { get; }
+        /// <summary> The project settings. </summary>
+        public ProjectSettings Settings { get; set; }
+        /// <summary> The new project name. </summary>
+        public string ProjectName { get; }
+        /// <summary> Whether the project would be used for multiple languages or not. </summary>
+        public bool? Multilingual { get; set; }
+        /// <summary> The project description. </summary>
+        public string Description { get; set; }
+        /// <summary>
+        /// The project language. This is BCP-47 representation of a language. For example,
+        /// use "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </summary>
+        public string Language { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomEntityRecognitionDocumentEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomEntityRecognitionDocumentEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..eaddc80af075
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomEntityRecognitionDocumentEvaluationResult.Serialization.cs
@@ -0,0 +1,159 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class CustomEntityRecognitionDocumentEvaluationResult : IUtf8JsonSerializable, IJsonModel<CustomEntityRecognitionDocumentEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CustomEntityRecognitionDocumentEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CustomEntityRecognitionDocumentEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomEntityRecognitionDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomEntityRecognitionDocumentEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("customEntityRecognitionResult"u8);
+            writer.WriteObjectValue(CustomEntityRecognitionResult, options);
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("location"u8);
+            writer.WriteStringValue(Location);
+            writer.WritePropertyName("language"u8);
+            writer.WriteStringValue(Language);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CustomEntityRecognitionDocumentEvaluationResult IJsonModel<CustomEntityRecognitionDocumentEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomEntityRecognitionDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomEntityRecognitionDocumentEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCustomEntityRecognitionDocumentEvaluationResult(document.RootElement, options);
+        }
+
+        internal static CustomEntityRecognitionDocumentEvaluationResult DeserializeCustomEntityRecognitionDocumentEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DocumentEntityRecognitionEvaluationResult customEntityRecognitionResult = default;
+            ProjectKind projectKind = default;
+            string location = default;
+            string language = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("customEntityRecognitionResult"u8))
+                {
+                    customEntityRecognitionResult = DocumentEntityRecognitionEvaluationResult.DeserializeDocumentEntityRecognitionEvaluationResult(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("location"u8))
+                {
+                    location = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CustomEntityRecognitionDocumentEvaluationResult(projectKind, location, language, serializedAdditionalRawData, customEntityRecognitionResult);
+        }
+
+        BinaryData IPersistableModel<CustomEntityRecognitionDocumentEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomEntityRecognitionDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CustomEntityRecognitionDocumentEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CustomEntityRecognitionDocumentEvaluationResult IPersistableModel<CustomEntityRecognitionDocumentEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomEntityRecognitionDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCustomEntityRecognitionDocumentEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CustomEntityRecognitionDocumentEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CustomEntityRecognitionDocumentEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new CustomEntityRecognitionDocumentEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCustomEntityRecognitionDocumentEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomEntityRecognitionDocumentEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomEntityRecognitionDocumentEvaluationResult.cs
new file mode 100644
index 000000000000..02af28e899ce
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomEntityRecognitionDocumentEvaluationResult.cs
@@ -0,0 +1,61 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents the document evaluation result for a custom entity recognition
+    /// project.
+    /// </summary>
+    public partial class CustomEntityRecognitionDocumentEvaluationResult : DocumentEvaluationResult
+    {
+        /// <summary> Initializes a new instance of <see cref="CustomEntityRecognitionDocumentEvaluationResult"/>. </summary>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="customEntityRecognitionResult"> Represents the evaluation prediction for entity recognition. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="location"/>, <paramref name="language"/> or <paramref name="customEntityRecognitionResult"/> is null. </exception>
+        internal CustomEntityRecognitionDocumentEvaluationResult(string location, string language, DocumentEntityRecognitionEvaluationResult customEntityRecognitionResult) : base(location, language)
+        {
+            Argument.AssertNotNull(location, nameof(location));
+            Argument.AssertNotNull(language, nameof(language));
+            Argument.AssertNotNull(customEntityRecognitionResult, nameof(customEntityRecognitionResult));
+
+            ProjectKind = ProjectKind.CustomEntityRecognition;
+            CustomEntityRecognitionResult = customEntityRecognitionResult;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomEntityRecognitionDocumentEvaluationResult"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="customEntityRecognitionResult"> Represents the evaluation prediction for entity recognition. </param>
+        internal CustomEntityRecognitionDocumentEvaluationResult(ProjectKind projectKind, string location, string language, IDictionary<string, BinaryData> serializedAdditionalRawData, DocumentEntityRecognitionEvaluationResult customEntityRecognitionResult) : base(projectKind, location, language, serializedAdditionalRawData)
+        {
+            CustomEntityRecognitionResult = customEntityRecognitionResult;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomEntityRecognitionDocumentEvaluationResult"/> for deserialization. </summary>
+        internal CustomEntityRecognitionDocumentEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the evaluation prediction for entity recognition. </summary>
+        public DocumentEntityRecognitionEvaluationResult CustomEntityRecognitionResult { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomEntityRecognitionEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomEntityRecognitionEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..fb830a32c508
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomEntityRecognitionEvaluationSummary.Serialization.cs
@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class CustomEntityRecognitionEvaluationSummary : IUtf8JsonSerializable, IJsonModel<CustomEntityRecognitionEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CustomEntityRecognitionEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CustomEntityRecognitionEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomEntityRecognitionEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomEntityRecognitionEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("customEntityRecognitionEvaluation"u8);
+            writer.WriteObjectValue(CustomEntityRecognitionEvaluation, options);
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("evaluationOptions"u8);
+            writer.WriteObjectValue(EvaluationOptions, options);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CustomEntityRecognitionEvaluationSummary IJsonModel<CustomEntityRecognitionEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomEntityRecognitionEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomEntityRecognitionEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCustomEntityRecognitionEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static CustomEntityRecognitionEvaluationSummary DeserializeCustomEntityRecognitionEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            EntityRecognitionEvaluationSummary customEntityRecognitionEvaluation = default;
+            ProjectKind projectKind = default;
+            EvaluationConfig evaluationOptions = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("customEntityRecognitionEvaluation"u8))
+                {
+                    customEntityRecognitionEvaluation = EntityRecognitionEvaluationSummary.DeserializeEntityRecognitionEvaluationSummary(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("evaluationOptions"u8))
+                {
+                    evaluationOptions = EvaluationConfig.DeserializeEvaluationConfig(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CustomEntityRecognitionEvaluationSummary(projectKind, evaluationOptions, serializedAdditionalRawData, customEntityRecognitionEvaluation);
+        }
+
+        BinaryData IPersistableModel<CustomEntityRecognitionEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomEntityRecognitionEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CustomEntityRecognitionEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CustomEntityRecognitionEvaluationSummary IPersistableModel<CustomEntityRecognitionEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomEntityRecognitionEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCustomEntityRecognitionEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CustomEntityRecognitionEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CustomEntityRecognitionEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new CustomEntityRecognitionEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCustomEntityRecognitionEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomEntityRecognitionEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomEntityRecognitionEvaluationSummary.cs
new file mode 100644
index 000000000000..8a5d97ca4808
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomEntityRecognitionEvaluationSummary.cs
@@ -0,0 +1,47 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the evaluation summary for a custom entity recognition project. </summary>
+    public partial class CustomEntityRecognitionEvaluationSummary : EvaluationSummary
+    {
+        /// <summary> Initializes a new instance of <see cref="CustomEntityRecognitionEvaluationSummary"/>. </summary>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="customEntityRecognitionEvaluation"> Contains the data related to extraction evaluation. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="evaluationOptions"/> or <paramref name="customEntityRecognitionEvaluation"/> is null. </exception>
+        internal CustomEntityRecognitionEvaluationSummary(EvaluationConfig evaluationOptions, EntityRecognitionEvaluationSummary customEntityRecognitionEvaluation) : base(evaluationOptions)
+        {
+            Argument.AssertNotNull(evaluationOptions, nameof(evaluationOptions));
+            Argument.AssertNotNull(customEntityRecognitionEvaluation, nameof(customEntityRecognitionEvaluation));
+
+            ProjectKind = ProjectKind.CustomEntityRecognition;
+            CustomEntityRecognitionEvaluation = customEntityRecognitionEvaluation;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomEntityRecognitionEvaluationSummary"/>. </summary>
+        /// <param name="projectKind"> Represents the project type that the evaluation ran on. </param>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="customEntityRecognitionEvaluation"> Contains the data related to extraction evaluation. </param>
+        internal CustomEntityRecognitionEvaluationSummary(ProjectKind projectKind, EvaluationConfig evaluationOptions, IDictionary<string, BinaryData> serializedAdditionalRawData, EntityRecognitionEvaluationSummary customEntityRecognitionEvaluation) : base(projectKind, evaluationOptions, serializedAdditionalRawData)
+        {
+            CustomEntityRecognitionEvaluation = customEntityRecognitionEvaluation;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomEntityRecognitionEvaluationSummary"/> for deserialization. </summary>
+        internal CustomEntityRecognitionEvaluationSummary()
+        {
+        }
+
+        /// <summary> Contains the data related to extraction evaluation. </summary>
+        public EntityRecognitionEvaluationSummary CustomEntityRecognitionEvaluation { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomHealthcareDocumentEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomHealthcareDocumentEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..cb486bcef0f4
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomHealthcareDocumentEvaluationResult.Serialization.cs
@@ -0,0 +1,159 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class CustomHealthcareDocumentEvaluationResult : IUtf8JsonSerializable, IJsonModel<CustomHealthcareDocumentEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CustomHealthcareDocumentEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CustomHealthcareDocumentEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomHealthcareDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomHealthcareDocumentEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("customHealthcareResult"u8);
+            writer.WriteObjectValue(CustomHealthcareResult, options);
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("location"u8);
+            writer.WriteStringValue(Location);
+            writer.WritePropertyName("language"u8);
+            writer.WriteStringValue(Language);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CustomHealthcareDocumentEvaluationResult IJsonModel<CustomHealthcareDocumentEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomHealthcareDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomHealthcareDocumentEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCustomHealthcareDocumentEvaluationResult(document.RootElement, options);
+        }
+
+        internal static CustomHealthcareDocumentEvaluationResult DeserializeCustomHealthcareDocumentEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DocumentHealthcareEvaluationResult customHealthcareResult = default;
+            ProjectKind projectKind = default;
+            string location = default;
+            string language = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("customHealthcareResult"u8))
+                {
+                    customHealthcareResult = DocumentHealthcareEvaluationResult.DeserializeDocumentHealthcareEvaluationResult(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("location"u8))
+                {
+                    location = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CustomHealthcareDocumentEvaluationResult(projectKind, location, language, serializedAdditionalRawData, customHealthcareResult);
+        }
+
+        BinaryData IPersistableModel<CustomHealthcareDocumentEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomHealthcareDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CustomHealthcareDocumentEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CustomHealthcareDocumentEvaluationResult IPersistableModel<CustomHealthcareDocumentEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomHealthcareDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCustomHealthcareDocumentEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CustomHealthcareDocumentEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CustomHealthcareDocumentEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new CustomHealthcareDocumentEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCustomHealthcareDocumentEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomHealthcareDocumentEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomHealthcareDocumentEvaluationResult.cs
new file mode 100644
index 000000000000..a2ae3608ddf8
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomHealthcareDocumentEvaluationResult.cs
@@ -0,0 +1,61 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents the document evaluation result for a custom entity recognition
+    /// project.
+    /// </summary>
+    public partial class CustomHealthcareDocumentEvaluationResult : DocumentEvaluationResult
+    {
+        /// <summary> Initializes a new instance of <see cref="CustomHealthcareDocumentEvaluationResult"/>. </summary>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="customHealthcareResult"> Represents the evaluation prediction for entity recognition. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="location"/>, <paramref name="language"/> or <paramref name="customHealthcareResult"/> is null. </exception>
+        internal CustomHealthcareDocumentEvaluationResult(string location, string language, DocumentHealthcareEvaluationResult customHealthcareResult) : base(location, language)
+        {
+            Argument.AssertNotNull(location, nameof(location));
+            Argument.AssertNotNull(language, nameof(language));
+            Argument.AssertNotNull(customHealthcareResult, nameof(customHealthcareResult));
+
+            ProjectKind = ProjectKind.CustomHealthcare;
+            CustomHealthcareResult = customHealthcareResult;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomHealthcareDocumentEvaluationResult"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="customHealthcareResult"> Represents the evaluation prediction for entity recognition. </param>
+        internal CustomHealthcareDocumentEvaluationResult(ProjectKind projectKind, string location, string language, IDictionary<string, BinaryData> serializedAdditionalRawData, DocumentHealthcareEvaluationResult customHealthcareResult) : base(projectKind, location, language, serializedAdditionalRawData)
+        {
+            CustomHealthcareResult = customHealthcareResult;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomHealthcareDocumentEvaluationResult"/> for deserialization. </summary>
+        internal CustomHealthcareDocumentEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the evaluation prediction for entity recognition. </summary>
+        public DocumentHealthcareEvaluationResult CustomHealthcareResult { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomHealthcareEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomHealthcareEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..5ecd07e70fee
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomHealthcareEvaluationSummary.Serialization.cs
@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class CustomHealthcareEvaluationSummary : IUtf8JsonSerializable, IJsonModel<CustomHealthcareEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CustomHealthcareEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CustomHealthcareEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomHealthcareEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomHealthcareEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("customHealthcareEvaluation"u8);
+            writer.WriteObjectValue(CustomHealthcareEvaluation, options);
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("evaluationOptions"u8);
+            writer.WriteObjectValue(EvaluationOptions, options);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CustomHealthcareEvaluationSummary IJsonModel<CustomHealthcareEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomHealthcareEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomHealthcareEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCustomHealthcareEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static CustomHealthcareEvaluationSummary DeserializeCustomHealthcareEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            EntityRecognitionEvaluationSummary customHealthcareEvaluation = default;
+            ProjectKind projectKind = default;
+            EvaluationConfig evaluationOptions = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("customHealthcareEvaluation"u8))
+                {
+                    customHealthcareEvaluation = EntityRecognitionEvaluationSummary.DeserializeEntityRecognitionEvaluationSummary(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("evaluationOptions"u8))
+                {
+                    evaluationOptions = EvaluationConfig.DeserializeEvaluationConfig(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CustomHealthcareEvaluationSummary(projectKind, evaluationOptions, serializedAdditionalRawData, customHealthcareEvaluation);
+        }
+
+        BinaryData IPersistableModel<CustomHealthcareEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomHealthcareEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CustomHealthcareEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CustomHealthcareEvaluationSummary IPersistableModel<CustomHealthcareEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomHealthcareEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCustomHealthcareEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CustomHealthcareEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CustomHealthcareEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new CustomHealthcareEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCustomHealthcareEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomHealthcareEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomHealthcareEvaluationSummary.cs
new file mode 100644
index 000000000000..1732879e4aa8
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomHealthcareEvaluationSummary.cs
@@ -0,0 +1,47 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the evaluation summary for a custom health care project. </summary>
+    public partial class CustomHealthcareEvaluationSummary : EvaluationSummary
+    {
+        /// <summary> Initializes a new instance of <see cref="CustomHealthcareEvaluationSummary"/>. </summary>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="customHealthcareEvaluation"> Contains the data related to health care evaluation. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="evaluationOptions"/> or <paramref name="customHealthcareEvaluation"/> is null. </exception>
+        internal CustomHealthcareEvaluationSummary(EvaluationConfig evaluationOptions, EntityRecognitionEvaluationSummary customHealthcareEvaluation) : base(evaluationOptions)
+        {
+            Argument.AssertNotNull(evaluationOptions, nameof(evaluationOptions));
+            Argument.AssertNotNull(customHealthcareEvaluation, nameof(customHealthcareEvaluation));
+
+            ProjectKind = ProjectKind.CustomHealthcare;
+            CustomHealthcareEvaluation = customHealthcareEvaluation;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomHealthcareEvaluationSummary"/>. </summary>
+        /// <param name="projectKind"> Represents the project type that the evaluation ran on. </param>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="customHealthcareEvaluation"> Contains the data related to health care evaluation. </param>
+        internal CustomHealthcareEvaluationSummary(ProjectKind projectKind, EvaluationConfig evaluationOptions, IDictionary<string, BinaryData> serializedAdditionalRawData, EntityRecognitionEvaluationSummary customHealthcareEvaluation) : base(projectKind, evaluationOptions, serializedAdditionalRawData)
+        {
+            CustomHealthcareEvaluation = customHealthcareEvaluation;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomHealthcareEvaluationSummary"/> for deserialization. </summary>
+        internal CustomHealthcareEvaluationSummary()
+        {
+        }
+
+        /// <summary> Contains the data related to health care evaluation. </summary>
+        public EntityRecognitionEvaluationSummary CustomHealthcareEvaluation { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomMultiLabelClassificationDocumentEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomMultiLabelClassificationDocumentEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..be148297c991
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomMultiLabelClassificationDocumentEvaluationResult.Serialization.cs
@@ -0,0 +1,159 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class CustomMultiLabelClassificationDocumentEvaluationResult : IUtf8JsonSerializable, IJsonModel<CustomMultiLabelClassificationDocumentEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CustomMultiLabelClassificationDocumentEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CustomMultiLabelClassificationDocumentEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomMultiLabelClassificationDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomMultiLabelClassificationDocumentEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("customMultiLabelClassificationResult"u8);
+            writer.WriteObjectValue(CustomMultiLabelClassificationResult, options);
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("location"u8);
+            writer.WriteStringValue(Location);
+            writer.WritePropertyName("language"u8);
+            writer.WriteStringValue(Language);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CustomMultiLabelClassificationDocumentEvaluationResult IJsonModel<CustomMultiLabelClassificationDocumentEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomMultiLabelClassificationDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomMultiLabelClassificationDocumentEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCustomMultiLabelClassificationDocumentEvaluationResult(document.RootElement, options);
+        }
+
+        internal static CustomMultiLabelClassificationDocumentEvaluationResult DeserializeCustomMultiLabelClassificationDocumentEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DocumentMultiLabelClassificationEvaluationResult customMultiLabelClassificationResult = default;
+            ProjectKind projectKind = default;
+            string location = default;
+            string language = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("customMultiLabelClassificationResult"u8))
+                {
+                    customMultiLabelClassificationResult = DocumentMultiLabelClassificationEvaluationResult.DeserializeDocumentMultiLabelClassificationEvaluationResult(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("location"u8))
+                {
+                    location = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CustomMultiLabelClassificationDocumentEvaluationResult(projectKind, location, language, serializedAdditionalRawData, customMultiLabelClassificationResult);
+        }
+
+        BinaryData IPersistableModel<CustomMultiLabelClassificationDocumentEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomMultiLabelClassificationDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CustomMultiLabelClassificationDocumentEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CustomMultiLabelClassificationDocumentEvaluationResult IPersistableModel<CustomMultiLabelClassificationDocumentEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomMultiLabelClassificationDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCustomMultiLabelClassificationDocumentEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CustomMultiLabelClassificationDocumentEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CustomMultiLabelClassificationDocumentEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new CustomMultiLabelClassificationDocumentEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCustomMultiLabelClassificationDocumentEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomMultiLabelClassificationDocumentEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomMultiLabelClassificationDocumentEvaluationResult.cs
new file mode 100644
index 000000000000..e4daa23a5436
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomMultiLabelClassificationDocumentEvaluationResult.cs
@@ -0,0 +1,61 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents the document evaluation result for a custom multi-label
+    /// classification project.
+    /// </summary>
+    public partial class CustomMultiLabelClassificationDocumentEvaluationResult : DocumentEvaluationResult
+    {
+        /// <summary> Initializes a new instance of <see cref="CustomMultiLabelClassificationDocumentEvaluationResult"/>. </summary>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="customMultiLabelClassificationResult"> Represents the evaluation prediction for multi label classification. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="location"/>, <paramref name="language"/> or <paramref name="customMultiLabelClassificationResult"/> is null. </exception>
+        internal CustomMultiLabelClassificationDocumentEvaluationResult(string location, string language, DocumentMultiLabelClassificationEvaluationResult customMultiLabelClassificationResult) : base(location, language)
+        {
+            Argument.AssertNotNull(location, nameof(location));
+            Argument.AssertNotNull(language, nameof(language));
+            Argument.AssertNotNull(customMultiLabelClassificationResult, nameof(customMultiLabelClassificationResult));
+
+            ProjectKind = ProjectKind.CustomMultiLabelClassification;
+            CustomMultiLabelClassificationResult = customMultiLabelClassificationResult;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomMultiLabelClassificationDocumentEvaluationResult"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="customMultiLabelClassificationResult"> Represents the evaluation prediction for multi label classification. </param>
+        internal CustomMultiLabelClassificationDocumentEvaluationResult(ProjectKind projectKind, string location, string language, IDictionary<string, BinaryData> serializedAdditionalRawData, DocumentMultiLabelClassificationEvaluationResult customMultiLabelClassificationResult) : base(projectKind, location, language, serializedAdditionalRawData)
+        {
+            CustomMultiLabelClassificationResult = customMultiLabelClassificationResult;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomMultiLabelClassificationDocumentEvaluationResult"/> for deserialization. </summary>
+        internal CustomMultiLabelClassificationDocumentEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the evaluation prediction for multi label classification. </summary>
+        public DocumentMultiLabelClassificationEvaluationResult CustomMultiLabelClassificationResult { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomMultiLabelClassificationEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomMultiLabelClassificationEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..30f754bbbc2d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomMultiLabelClassificationEvaluationSummary.Serialization.cs
@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class CustomMultiLabelClassificationEvaluationSummary : IUtf8JsonSerializable, IJsonModel<CustomMultiLabelClassificationEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CustomMultiLabelClassificationEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CustomMultiLabelClassificationEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomMultiLabelClassificationEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomMultiLabelClassificationEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("customMultiLabelClassificationEvaluation"u8);
+            writer.WriteObjectValue(CustomMultiLabelClassificationEvaluation, options);
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("evaluationOptions"u8);
+            writer.WriteObjectValue(EvaluationOptions, options);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CustomMultiLabelClassificationEvaluationSummary IJsonModel<CustomMultiLabelClassificationEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomMultiLabelClassificationEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomMultiLabelClassificationEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCustomMultiLabelClassificationEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static CustomMultiLabelClassificationEvaluationSummary DeserializeCustomMultiLabelClassificationEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            MultiLabelClassificationEvaluationSummary customMultiLabelClassificationEvaluation = default;
+            ProjectKind projectKind = default;
+            EvaluationConfig evaluationOptions = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("customMultiLabelClassificationEvaluation"u8))
+                {
+                    customMultiLabelClassificationEvaluation = MultiLabelClassificationEvaluationSummary.DeserializeMultiLabelClassificationEvaluationSummary(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("evaluationOptions"u8))
+                {
+                    evaluationOptions = EvaluationConfig.DeserializeEvaluationConfig(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CustomMultiLabelClassificationEvaluationSummary(projectKind, evaluationOptions, serializedAdditionalRawData, customMultiLabelClassificationEvaluation);
+        }
+
+        BinaryData IPersistableModel<CustomMultiLabelClassificationEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomMultiLabelClassificationEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CustomMultiLabelClassificationEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CustomMultiLabelClassificationEvaluationSummary IPersistableModel<CustomMultiLabelClassificationEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomMultiLabelClassificationEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCustomMultiLabelClassificationEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CustomMultiLabelClassificationEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CustomMultiLabelClassificationEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new CustomMultiLabelClassificationEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCustomMultiLabelClassificationEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomMultiLabelClassificationEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomMultiLabelClassificationEvaluationSummary.cs
new file mode 100644
index 000000000000..0dfab1dc346e
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomMultiLabelClassificationEvaluationSummary.cs
@@ -0,0 +1,50 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents the evaluation summary for a custom multi-label classification
+    /// project.
+    /// </summary>
+    public partial class CustomMultiLabelClassificationEvaluationSummary : EvaluationSummary
+    {
+        /// <summary> Initializes a new instance of <see cref="CustomMultiLabelClassificationEvaluationSummary"/>. </summary>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="customMultiLabelClassificationEvaluation"> Contains the data related to multi label classification evaluation. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="evaluationOptions"/> or <paramref name="customMultiLabelClassificationEvaluation"/> is null. </exception>
+        internal CustomMultiLabelClassificationEvaluationSummary(EvaluationConfig evaluationOptions, MultiLabelClassificationEvaluationSummary customMultiLabelClassificationEvaluation) : base(evaluationOptions)
+        {
+            Argument.AssertNotNull(evaluationOptions, nameof(evaluationOptions));
+            Argument.AssertNotNull(customMultiLabelClassificationEvaluation, nameof(customMultiLabelClassificationEvaluation));
+
+            ProjectKind = ProjectKind.CustomMultiLabelClassification;
+            CustomMultiLabelClassificationEvaluation = customMultiLabelClassificationEvaluation;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomMultiLabelClassificationEvaluationSummary"/>. </summary>
+        /// <param name="projectKind"> Represents the project type that the evaluation ran on. </param>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="customMultiLabelClassificationEvaluation"> Contains the data related to multi label classification evaluation. </param>
+        internal CustomMultiLabelClassificationEvaluationSummary(ProjectKind projectKind, EvaluationConfig evaluationOptions, IDictionary<string, BinaryData> serializedAdditionalRawData, MultiLabelClassificationEvaluationSummary customMultiLabelClassificationEvaluation) : base(projectKind, evaluationOptions, serializedAdditionalRawData)
+        {
+            CustomMultiLabelClassificationEvaluation = customMultiLabelClassificationEvaluation;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomMultiLabelClassificationEvaluationSummary"/> for deserialization. </summary>
+        internal CustomMultiLabelClassificationEvaluationSummary()
+        {
+        }
+
+        /// <summary> Contains the data related to multi label classification evaluation. </summary>
+        public MultiLabelClassificationEvaluationSummary CustomMultiLabelClassificationEvaluation { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomSingleLabelClassificationDocumentEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomSingleLabelClassificationDocumentEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..65ec5a6b458a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomSingleLabelClassificationDocumentEvaluationResult.Serialization.cs
@@ -0,0 +1,159 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class CustomSingleLabelClassificationDocumentEvaluationResult : IUtf8JsonSerializable, IJsonModel<CustomSingleLabelClassificationDocumentEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CustomSingleLabelClassificationDocumentEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CustomSingleLabelClassificationDocumentEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomSingleLabelClassificationDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomSingleLabelClassificationDocumentEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("customSingleLabelClassificationResult"u8);
+            writer.WriteObjectValue(CustomSingleLabelClassificationResult, options);
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("location"u8);
+            writer.WriteStringValue(Location);
+            writer.WritePropertyName("language"u8);
+            writer.WriteStringValue(Language);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CustomSingleLabelClassificationDocumentEvaluationResult IJsonModel<CustomSingleLabelClassificationDocumentEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomSingleLabelClassificationDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomSingleLabelClassificationDocumentEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCustomSingleLabelClassificationDocumentEvaluationResult(document.RootElement, options);
+        }
+
+        internal static CustomSingleLabelClassificationDocumentEvaluationResult DeserializeCustomSingleLabelClassificationDocumentEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DocumentSingleLabelClassificationEvaluationResult customSingleLabelClassificationResult = default;
+            ProjectKind projectKind = default;
+            string location = default;
+            string language = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("customSingleLabelClassificationResult"u8))
+                {
+                    customSingleLabelClassificationResult = DocumentSingleLabelClassificationEvaluationResult.DeserializeDocumentSingleLabelClassificationEvaluationResult(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("location"u8))
+                {
+                    location = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CustomSingleLabelClassificationDocumentEvaluationResult(projectKind, location, language, serializedAdditionalRawData, customSingleLabelClassificationResult);
+        }
+
+        BinaryData IPersistableModel<CustomSingleLabelClassificationDocumentEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomSingleLabelClassificationDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CustomSingleLabelClassificationDocumentEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CustomSingleLabelClassificationDocumentEvaluationResult IPersistableModel<CustomSingleLabelClassificationDocumentEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomSingleLabelClassificationDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCustomSingleLabelClassificationDocumentEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CustomSingleLabelClassificationDocumentEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CustomSingleLabelClassificationDocumentEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new CustomSingleLabelClassificationDocumentEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCustomSingleLabelClassificationDocumentEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomSingleLabelClassificationDocumentEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomSingleLabelClassificationDocumentEvaluationResult.cs
new file mode 100644
index 000000000000..680d1451a655
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomSingleLabelClassificationDocumentEvaluationResult.cs
@@ -0,0 +1,61 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents the document evaluation result for a custom single-label
+    /// classification project.
+    /// </summary>
+    public partial class CustomSingleLabelClassificationDocumentEvaluationResult : DocumentEvaluationResult
+    {
+        /// <summary> Initializes a new instance of <see cref="CustomSingleLabelClassificationDocumentEvaluationResult"/>. </summary>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="customSingleLabelClassificationResult"> Represents the evaluation prediction for single label classification. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="location"/>, <paramref name="language"/> or <paramref name="customSingleLabelClassificationResult"/> is null. </exception>
+        internal CustomSingleLabelClassificationDocumentEvaluationResult(string location, string language, DocumentSingleLabelClassificationEvaluationResult customSingleLabelClassificationResult) : base(location, language)
+        {
+            Argument.AssertNotNull(location, nameof(location));
+            Argument.AssertNotNull(language, nameof(language));
+            Argument.AssertNotNull(customSingleLabelClassificationResult, nameof(customSingleLabelClassificationResult));
+
+            ProjectKind = ProjectKind.CustomSingleLabelClassification;
+            CustomSingleLabelClassificationResult = customSingleLabelClassificationResult;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomSingleLabelClassificationDocumentEvaluationResult"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="customSingleLabelClassificationResult"> Represents the evaluation prediction for single label classification. </param>
+        internal CustomSingleLabelClassificationDocumentEvaluationResult(ProjectKind projectKind, string location, string language, IDictionary<string, BinaryData> serializedAdditionalRawData, DocumentSingleLabelClassificationEvaluationResult customSingleLabelClassificationResult) : base(projectKind, location, language, serializedAdditionalRawData)
+        {
+            CustomSingleLabelClassificationResult = customSingleLabelClassificationResult;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomSingleLabelClassificationDocumentEvaluationResult"/> for deserialization. </summary>
+        internal CustomSingleLabelClassificationDocumentEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the evaluation prediction for single label classification. </summary>
+        public DocumentSingleLabelClassificationEvaluationResult CustomSingleLabelClassificationResult { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomSingleLabelClassificationEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomSingleLabelClassificationEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..c01ca036b40c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomSingleLabelClassificationEvaluationSummary.Serialization.cs
@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class CustomSingleLabelClassificationEvaluationSummary : IUtf8JsonSerializable, IJsonModel<CustomSingleLabelClassificationEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CustomSingleLabelClassificationEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CustomSingleLabelClassificationEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomSingleLabelClassificationEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomSingleLabelClassificationEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("customSingleLabelClassificationEvaluation"u8);
+            writer.WriteObjectValue(CustomSingleLabelClassificationEvaluation, options);
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("evaluationOptions"u8);
+            writer.WriteObjectValue(EvaluationOptions, options);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CustomSingleLabelClassificationEvaluationSummary IJsonModel<CustomSingleLabelClassificationEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomSingleLabelClassificationEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomSingleLabelClassificationEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCustomSingleLabelClassificationEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static CustomSingleLabelClassificationEvaluationSummary DeserializeCustomSingleLabelClassificationEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            SingleLabelClassificationEvaluationSummary customSingleLabelClassificationEvaluation = default;
+            ProjectKind projectKind = default;
+            EvaluationConfig evaluationOptions = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("customSingleLabelClassificationEvaluation"u8))
+                {
+                    customSingleLabelClassificationEvaluation = SingleLabelClassificationEvaluationSummary.DeserializeSingleLabelClassificationEvaluationSummary(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("evaluationOptions"u8))
+                {
+                    evaluationOptions = EvaluationConfig.DeserializeEvaluationConfig(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CustomSingleLabelClassificationEvaluationSummary(projectKind, evaluationOptions, serializedAdditionalRawData, customSingleLabelClassificationEvaluation);
+        }
+
+        BinaryData IPersistableModel<CustomSingleLabelClassificationEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomSingleLabelClassificationEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CustomSingleLabelClassificationEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CustomSingleLabelClassificationEvaluationSummary IPersistableModel<CustomSingleLabelClassificationEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomSingleLabelClassificationEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCustomSingleLabelClassificationEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CustomSingleLabelClassificationEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CustomSingleLabelClassificationEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new CustomSingleLabelClassificationEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCustomSingleLabelClassificationEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomSingleLabelClassificationEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomSingleLabelClassificationEvaluationSummary.cs
new file mode 100644
index 000000000000..02633e0285b0
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomSingleLabelClassificationEvaluationSummary.cs
@@ -0,0 +1,50 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents the evaluation summary for a custom single-label classification
+    /// project.
+    /// </summary>
+    public partial class CustomSingleLabelClassificationEvaluationSummary : EvaluationSummary
+    {
+        /// <summary> Initializes a new instance of <see cref="CustomSingleLabelClassificationEvaluationSummary"/>. </summary>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="customSingleLabelClassificationEvaluation"> Contains the data related to single label classification evaluation. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="evaluationOptions"/> or <paramref name="customSingleLabelClassificationEvaluation"/> is null. </exception>
+        internal CustomSingleLabelClassificationEvaluationSummary(EvaluationConfig evaluationOptions, SingleLabelClassificationEvaluationSummary customSingleLabelClassificationEvaluation) : base(evaluationOptions)
+        {
+            Argument.AssertNotNull(evaluationOptions, nameof(evaluationOptions));
+            Argument.AssertNotNull(customSingleLabelClassificationEvaluation, nameof(customSingleLabelClassificationEvaluation));
+
+            ProjectKind = ProjectKind.CustomSingleLabelClassification;
+            CustomSingleLabelClassificationEvaluation = customSingleLabelClassificationEvaluation;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomSingleLabelClassificationEvaluationSummary"/>. </summary>
+        /// <param name="projectKind"> Represents the project type that the evaluation ran on. </param>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="customSingleLabelClassificationEvaluation"> Contains the data related to single label classification evaluation. </param>
+        internal CustomSingleLabelClassificationEvaluationSummary(ProjectKind projectKind, EvaluationConfig evaluationOptions, IDictionary<string, BinaryData> serializedAdditionalRawData, SingleLabelClassificationEvaluationSummary customSingleLabelClassificationEvaluation) : base(projectKind, evaluationOptions, serializedAdditionalRawData)
+        {
+            CustomSingleLabelClassificationEvaluation = customSingleLabelClassificationEvaluation;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomSingleLabelClassificationEvaluationSummary"/> for deserialization. </summary>
+        internal CustomSingleLabelClassificationEvaluationSummary()
+        {
+        }
+
+        /// <summary> Contains the data related to single label classification evaluation. </summary>
+        public SingleLabelClassificationEvaluationSummary CustomSingleLabelClassificationEvaluation { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomTextSentimentDocumentEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomTextSentimentDocumentEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..d570200bf0b1
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomTextSentimentDocumentEvaluationResult.Serialization.cs
@@ -0,0 +1,159 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class CustomTextSentimentDocumentEvaluationResult : IUtf8JsonSerializable, IJsonModel<CustomTextSentimentDocumentEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CustomTextSentimentDocumentEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CustomTextSentimentDocumentEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomTextSentimentDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomTextSentimentDocumentEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("customTextSentimentResult"u8);
+            writer.WriteObjectValue(CustomTextSentimentResult, options);
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("location"u8);
+            writer.WriteStringValue(Location);
+            writer.WritePropertyName("language"u8);
+            writer.WriteStringValue(Language);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CustomTextSentimentDocumentEvaluationResult IJsonModel<CustomTextSentimentDocumentEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomTextSentimentDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomTextSentimentDocumentEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCustomTextSentimentDocumentEvaluationResult(document.RootElement, options);
+        }
+
+        internal static CustomTextSentimentDocumentEvaluationResult DeserializeCustomTextSentimentDocumentEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DocumentTextSentimentEvaluationResult customTextSentimentResult = default;
+            ProjectKind projectKind = default;
+            string location = default;
+            string language = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("customTextSentimentResult"u8))
+                {
+                    customTextSentimentResult = DocumentTextSentimentEvaluationResult.DeserializeDocumentTextSentimentEvaluationResult(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("location"u8))
+                {
+                    location = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CustomTextSentimentDocumentEvaluationResult(projectKind, location, language, serializedAdditionalRawData, customTextSentimentResult);
+        }
+
+        BinaryData IPersistableModel<CustomTextSentimentDocumentEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomTextSentimentDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CustomTextSentimentDocumentEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CustomTextSentimentDocumentEvaluationResult IPersistableModel<CustomTextSentimentDocumentEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomTextSentimentDocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCustomTextSentimentDocumentEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CustomTextSentimentDocumentEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CustomTextSentimentDocumentEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new CustomTextSentimentDocumentEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCustomTextSentimentDocumentEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomTextSentimentDocumentEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomTextSentimentDocumentEvaluationResult.cs
new file mode 100644
index 000000000000..228d09e70d1d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomTextSentimentDocumentEvaluationResult.cs
@@ -0,0 +1,58 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the document evaluation result for a custom sentiment project. </summary>
+    public partial class CustomTextSentimentDocumentEvaluationResult : DocumentEvaluationResult
+    {
+        /// <summary> Initializes a new instance of <see cref="CustomTextSentimentDocumentEvaluationResult"/>. </summary>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="customTextSentimentResult"> Represents the evaluation prediction for text sentiment. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="location"/>, <paramref name="language"/> or <paramref name="customTextSentimentResult"/> is null. </exception>
+        internal CustomTextSentimentDocumentEvaluationResult(string location, string language, DocumentTextSentimentEvaluationResult customTextSentimentResult) : base(location, language)
+        {
+            Argument.AssertNotNull(location, nameof(location));
+            Argument.AssertNotNull(language, nameof(language));
+            Argument.AssertNotNull(customTextSentimentResult, nameof(customTextSentimentResult));
+
+            ProjectKind = ProjectKind.CustomTextSentiment;
+            CustomTextSentimentResult = customTextSentimentResult;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomTextSentimentDocumentEvaluationResult"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="customTextSentimentResult"> Represents the evaluation prediction for text sentiment. </param>
+        internal CustomTextSentimentDocumentEvaluationResult(ProjectKind projectKind, string location, string language, IDictionary<string, BinaryData> serializedAdditionalRawData, DocumentTextSentimentEvaluationResult customTextSentimentResult) : base(projectKind, location, language, serializedAdditionalRawData)
+        {
+            CustomTextSentimentResult = customTextSentimentResult;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomTextSentimentDocumentEvaluationResult"/> for deserialization. </summary>
+        internal CustomTextSentimentDocumentEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the evaluation prediction for text sentiment. </summary>
+        public DocumentTextSentimentEvaluationResult CustomTextSentimentResult { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomTextSentimentEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomTextSentimentEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..006a7ba09504
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomTextSentimentEvaluationSummary.Serialization.cs
@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class CustomTextSentimentEvaluationSummary : IUtf8JsonSerializable, IJsonModel<CustomTextSentimentEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CustomTextSentimentEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CustomTextSentimentEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomTextSentimentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomTextSentimentEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("customTextSentimentEvaluation"u8);
+            writer.WriteObjectValue(CustomTextSentimentEvaluation, options);
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("evaluationOptions"u8);
+            writer.WriteObjectValue(EvaluationOptions, options);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CustomTextSentimentEvaluationSummary IJsonModel<CustomTextSentimentEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomTextSentimentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CustomTextSentimentEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCustomTextSentimentEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static CustomTextSentimentEvaluationSummary DeserializeCustomTextSentimentEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            TextSentimentEvaluationSummary customTextSentimentEvaluation = default;
+            ProjectKind projectKind = default;
+            EvaluationConfig evaluationOptions = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("customTextSentimentEvaluation"u8))
+                {
+                    customTextSentimentEvaluation = TextSentimentEvaluationSummary.DeserializeTextSentimentEvaluationSummary(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("evaluationOptions"u8))
+                {
+                    evaluationOptions = EvaluationConfig.DeserializeEvaluationConfig(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CustomTextSentimentEvaluationSummary(projectKind, evaluationOptions, serializedAdditionalRawData, customTextSentimentEvaluation);
+        }
+
+        BinaryData IPersistableModel<CustomTextSentimentEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomTextSentimentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CustomTextSentimentEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CustomTextSentimentEvaluationSummary IPersistableModel<CustomTextSentimentEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CustomTextSentimentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCustomTextSentimentEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CustomTextSentimentEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CustomTextSentimentEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new CustomTextSentimentEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCustomTextSentimentEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomTextSentimentEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomTextSentimentEvaluationSummary.cs
new file mode 100644
index 000000000000..5f9a784f133e
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/CustomTextSentimentEvaluationSummary.cs
@@ -0,0 +1,47 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the evaluation summary for a custom text sentiment project. </summary>
+    public partial class CustomTextSentimentEvaluationSummary : EvaluationSummary
+    {
+        /// <summary> Initializes a new instance of <see cref="CustomTextSentimentEvaluationSummary"/>. </summary>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="customTextSentimentEvaluation"> Contains the data related to custom sentiment evaluation. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="evaluationOptions"/> or <paramref name="customTextSentimentEvaluation"/> is null. </exception>
+        internal CustomTextSentimentEvaluationSummary(EvaluationConfig evaluationOptions, TextSentimentEvaluationSummary customTextSentimentEvaluation) : base(evaluationOptions)
+        {
+            Argument.AssertNotNull(evaluationOptions, nameof(evaluationOptions));
+            Argument.AssertNotNull(customTextSentimentEvaluation, nameof(customTextSentimentEvaluation));
+
+            ProjectKind = ProjectKind.CustomTextSentiment;
+            CustomTextSentimentEvaluation = customTextSentimentEvaluation;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomTextSentimentEvaluationSummary"/>. </summary>
+        /// <param name="projectKind"> Represents the project type that the evaluation ran on. </param>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="customTextSentimentEvaluation"> Contains the data related to custom sentiment evaluation. </param>
+        internal CustomTextSentimentEvaluationSummary(ProjectKind projectKind, EvaluationConfig evaluationOptions, IDictionary<string, BinaryData> serializedAdditionalRawData, TextSentimentEvaluationSummary customTextSentimentEvaluation) : base(projectKind, evaluationOptions, serializedAdditionalRawData)
+        {
+            CustomTextSentimentEvaluation = customTextSentimentEvaluation;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CustomTextSentimentEvaluationSummary"/> for deserialization. </summary>
+        internal CustomTextSentimentEvaluationSummary()
+        {
+        }
+
+        /// <summary> Contains the data related to custom sentiment evaluation. </summary>
+        public TextSentimentEvaluationSummary CustomTextSentimentEvaluation { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DataGenerationConnectionInfo.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DataGenerationConnectionInfo.Serialization.cs
new file mode 100644
index 000000000000..833f35785bd5
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DataGenerationConnectionInfo.Serialization.cs
@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class DataGenerationConnectionInfo : IUtf8JsonSerializable, IJsonModel<DataGenerationConnectionInfo>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<DataGenerationConnectionInfo>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<DataGenerationConnectionInfo>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DataGenerationConnectionInfo>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DataGenerationConnectionInfo)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("kind"u8);
+            writer.WriteStringValue(Kind.ToString());
+            writer.WritePropertyName("resourceId"u8);
+            writer.WriteStringValue(ResourceId);
+            writer.WritePropertyName("deploymentName"u8);
+            writer.WriteStringValue(DeploymentName);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        DataGenerationConnectionInfo IJsonModel<DataGenerationConnectionInfo>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DataGenerationConnectionInfo>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DataGenerationConnectionInfo)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeDataGenerationConnectionInfo(document.RootElement, options);
+        }
+
+        internal static DataGenerationConnectionInfo DeserializeDataGenerationConnectionInfo(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DataGenerationConnectionInfoKind kind = default;
+            string resourceId = default;
+            string deploymentName = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("kind"u8))
+                {
+                    kind = new DataGenerationConnectionInfoKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("resourceId"u8))
+                {
+                    resourceId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("deploymentName"u8))
+                {
+                    deploymentName = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new DataGenerationConnectionInfo(kind, resourceId, deploymentName, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<DataGenerationConnectionInfo>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DataGenerationConnectionInfo>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(DataGenerationConnectionInfo)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        DataGenerationConnectionInfo IPersistableModel<DataGenerationConnectionInfo>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DataGenerationConnectionInfo>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeDataGenerationConnectionInfo(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(DataGenerationConnectionInfo)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<DataGenerationConnectionInfo>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static DataGenerationConnectionInfo FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeDataGenerationConnectionInfo(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DataGenerationConnectionInfo.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DataGenerationConnectionInfo.cs
new file mode 100644
index 000000000000..61da77f366e6
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DataGenerationConnectionInfo.cs
@@ -0,0 +1,87 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the connection info for the Azure resource to use during data generation as part of training a custom model. </summary>
+    public partial class DataGenerationConnectionInfo
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="DataGenerationConnectionInfo"/>. </summary>
+        /// <param name="resourceId"> Resource ID for the data generation resource. Looks something like "/subscriptions/&lt;SUBSCRIPTION-ID-GUID&gt;/resourceGroups/&lt;RG-NAME&gt;/providers/Microsoft.CognitiveServices/accounts/&lt;AOAI-ACCOUNT-NAME&gt;". </param>
+        /// <param name="deploymentName"> Deployment name of model to be used for synthetic data generation. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="resourceId"/> or <paramref name="deploymentName"/> is null. </exception>
+        public DataGenerationConnectionInfo(string resourceId, string deploymentName)
+        {
+            Argument.AssertNotNull(resourceId, nameof(resourceId));
+            Argument.AssertNotNull(deploymentName, nameof(deploymentName));
+
+            ResourceId = resourceId;
+            DeploymentName = deploymentName;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DataGenerationConnectionInfo"/>. </summary>
+        /// <param name="kind"> Connection type for data generation settings. Currently only supports Azure Open AI. </param>
+        /// <param name="resourceId"> Resource ID for the data generation resource. Looks something like "/subscriptions/&lt;SUBSCRIPTION-ID-GUID&gt;/resourceGroups/&lt;RG-NAME&gt;/providers/Microsoft.CognitiveServices/accounts/&lt;AOAI-ACCOUNT-NAME&gt;". </param>
+        /// <param name="deploymentName"> Deployment name of model to be used for synthetic data generation. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal DataGenerationConnectionInfo(DataGenerationConnectionInfoKind kind, string resourceId, string deploymentName, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Kind = kind;
+            ResourceId = resourceId;
+            DeploymentName = deploymentName;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DataGenerationConnectionInfo"/> for deserialization. </summary>
+        internal DataGenerationConnectionInfo()
+        {
+        }
+
+        /// <summary> Connection type for data generation settings. Currently only supports Azure Open AI. </summary>
+        public DataGenerationConnectionInfoKind Kind { get; } = DataGenerationConnectionInfoKind.AzureOpenAI;
+
+        /// <summary> Resource ID for the data generation resource. Looks something like "/subscriptions/&lt;SUBSCRIPTION-ID-GUID&gt;/resourceGroups/&lt;RG-NAME&gt;/providers/Microsoft.CognitiveServices/accounts/&lt;AOAI-ACCOUNT-NAME&gt;". </summary>
+        public string ResourceId { get; }
+        /// <summary> Deployment name of model to be used for synthetic data generation. </summary>
+        public string DeploymentName { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DataGenerationConnectionInfoKind.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DataGenerationConnectionInfoKind.cs
new file mode 100644
index 000000000000..69edc95d6527
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DataGenerationConnectionInfoKind.cs
@@ -0,0 +1,48 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The DataGenerationConnectionInfo_kind. </summary>
+    public readonly partial struct DataGenerationConnectionInfoKind : IEquatable<DataGenerationConnectionInfoKind>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="DataGenerationConnectionInfoKind"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public DataGenerationConnectionInfoKind(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string AzureOpenAIValue = "azureOpenAI";
+
+        /// <summary> azureOpenAI. </summary>
+        public static DataGenerationConnectionInfoKind AzureOpenAI { get; } = new DataGenerationConnectionInfoKind(AzureOpenAIValue);
+        /// <summary> Determines if two <see cref="DataGenerationConnectionInfoKind"/> values are the same. </summary>
+        public static bool operator ==(DataGenerationConnectionInfoKind left, DataGenerationConnectionInfoKind right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="DataGenerationConnectionInfoKind"/> values are not the same. </summary>
+        public static bool operator !=(DataGenerationConnectionInfoKind left, DataGenerationConnectionInfoKind right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="DataGenerationConnectionInfoKind"/>. </summary>
+        public static implicit operator DataGenerationConnectionInfoKind(string value) => new DataGenerationConnectionInfoKind(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is DataGenerationConnectionInfoKind other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(DataGenerationConnectionInfoKind other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DataGenerationSettings.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DataGenerationSettings.Serialization.cs
new file mode 100644
index 000000000000..fec0c4ffeba8
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DataGenerationSettings.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class DataGenerationSettings : IUtf8JsonSerializable, IJsonModel<DataGenerationSettings>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<DataGenerationSettings>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<DataGenerationSettings>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DataGenerationSettings>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DataGenerationSettings)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("enableDataGeneration"u8);
+            writer.WriteBooleanValue(EnableDataGeneration);
+            writer.WritePropertyName("dataGenerationConnectionInfo"u8);
+            writer.WriteObjectValue(DataGenerationConnectionInfo, options);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        DataGenerationSettings IJsonModel<DataGenerationSettings>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DataGenerationSettings>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DataGenerationSettings)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeDataGenerationSettings(document.RootElement, options);
+        }
+
+        internal static DataGenerationSettings DeserializeDataGenerationSettings(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            bool enableDataGeneration = default;
+            DataGenerationConnectionInfo dataGenerationConnectionInfo = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("enableDataGeneration"u8))
+                {
+                    enableDataGeneration = property.Value.GetBoolean();
+                    continue;
+                }
+                if (property.NameEquals("dataGenerationConnectionInfo"u8))
+                {
+                    dataGenerationConnectionInfo = DataGenerationConnectionInfo.DeserializeDataGenerationConnectionInfo(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new DataGenerationSettings(enableDataGeneration, dataGenerationConnectionInfo, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<DataGenerationSettings>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DataGenerationSettings>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(DataGenerationSettings)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        DataGenerationSettings IPersistableModel<DataGenerationSettings>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DataGenerationSettings>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeDataGenerationSettings(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(DataGenerationSettings)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<DataGenerationSettings>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static DataGenerationSettings FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeDataGenerationSettings(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DataGenerationSettings.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DataGenerationSettings.cs
new file mode 100644
index 000000000000..e1b215f18b1b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DataGenerationSettings.cs
@@ -0,0 +1,81 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the settings for using data generation as part of training a custom model. </summary>
+    public partial class DataGenerationSettings
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="DataGenerationSettings"/>. </summary>
+        /// <param name="enableDataGeneration"> If set to true, augment customer provided training data with synthetic data to improve model quality. </param>
+        /// <param name="dataGenerationConnectionInfo"> Represents the connection info for the Azure resource to use during data generation as part of training a custom model. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="dataGenerationConnectionInfo"/> is null. </exception>
+        public DataGenerationSettings(bool enableDataGeneration, DataGenerationConnectionInfo dataGenerationConnectionInfo)
+        {
+            Argument.AssertNotNull(dataGenerationConnectionInfo, nameof(dataGenerationConnectionInfo));
+
+            EnableDataGeneration = enableDataGeneration;
+            DataGenerationConnectionInfo = dataGenerationConnectionInfo;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DataGenerationSettings"/>. </summary>
+        /// <param name="enableDataGeneration"> If set to true, augment customer provided training data with synthetic data to improve model quality. </param>
+        /// <param name="dataGenerationConnectionInfo"> Represents the connection info for the Azure resource to use during data generation as part of training a custom model. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal DataGenerationSettings(bool enableDataGeneration, DataGenerationConnectionInfo dataGenerationConnectionInfo, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            EnableDataGeneration = enableDataGeneration;
+            DataGenerationConnectionInfo = dataGenerationConnectionInfo;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DataGenerationSettings"/> for deserialization. </summary>
+        internal DataGenerationSettings()
+        {
+        }
+
+        /// <summary> If set to true, augment customer provided training data with synthetic data to improve model quality. </summary>
+        public bool EnableDataGeneration { get; }
+        /// <summary> Represents the connection info for the Azure resource to use during data generation as part of training a custom model. </summary>
+        public DataGenerationConnectionInfo DataGenerationConnectionInfo { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DeleteDeploymentConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DeleteDeploymentConfig.Serialization.cs
new file mode 100644
index 000000000000..d7cec44904c0
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DeleteDeploymentConfig.Serialization.cs
@@ -0,0 +1,152 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class DeleteDeploymentConfig : IUtf8JsonSerializable, IJsonModel<DeleteDeploymentConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<DeleteDeploymentConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<DeleteDeploymentConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DeleteDeploymentConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DeleteDeploymentConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(AssignedResourceIds))
+            {
+                writer.WritePropertyName("assignedResourceIds"u8);
+                writer.WriteStartArray();
+                foreach (var item in AssignedResourceIds)
+                {
+                    writer.WriteStringValue(item);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        DeleteDeploymentConfig IJsonModel<DeleteDeploymentConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DeleteDeploymentConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DeleteDeploymentConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeDeleteDeploymentConfig(document.RootElement, options);
+        }
+
+        internal static DeleteDeploymentConfig DeserializeDeleteDeploymentConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<string> assignedResourceIds = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("assignedResourceIds"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<string> array = new List<string>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(item.GetString());
+                    }
+                    assignedResourceIds = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new DeleteDeploymentConfig(assignedResourceIds ?? new ChangeTrackingList<string>(), serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<DeleteDeploymentConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DeleteDeploymentConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(DeleteDeploymentConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        DeleteDeploymentConfig IPersistableModel<DeleteDeploymentConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DeleteDeploymentConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeDeleteDeploymentConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(DeleteDeploymentConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<DeleteDeploymentConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static DeleteDeploymentConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeDeleteDeploymentConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DeleteDeploymentConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DeleteDeploymentConfig.cs
new file mode 100644
index 000000000000..45a68a3ac945
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DeleteDeploymentConfig.cs
@@ -0,0 +1,78 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the options for deleting a project deployment. </summary>
+    public partial class DeleteDeploymentConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="DeleteDeploymentConfig"/>. </summary>
+        public DeleteDeploymentConfig()
+        {
+            AssignedResourceIds = new ChangeTrackingList<string>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DeleteDeploymentConfig"/>. </summary>
+        /// <param name="assignedResourceIds">
+        /// Represents the resource IDs to delete the deployment from.
+        /// If not provided, the deployment will be rolled out from all the
+        /// resources it is deployed to.
+        /// If provided, it will delete the deployment only from the specified
+        /// assigned resources, and leave it for the rest.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal DeleteDeploymentConfig(IList<string> assignedResourceIds, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            AssignedResourceIds = assignedResourceIds;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary>
+        /// Represents the resource IDs to delete the deployment from.
+        /// If not provided, the deployment will be rolled out from all the
+        /// resources it is deployed to.
+        /// If provided, it will delete the deployment only from the specified
+        /// assigned resources, and leave it for the rest.
+        /// </summary>
+        public IList<string> AssignedResourceIds { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DeploymentResource.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DeploymentResource.Serialization.cs
new file mode 100644
index 000000000000..f02f6fe0bf80
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DeploymentResource.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class DeploymentResource : IUtf8JsonSerializable, IJsonModel<DeploymentResource>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<DeploymentResource>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<DeploymentResource>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DeploymentResource>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DeploymentResource)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("resourceId"u8);
+            writer.WriteStringValue(ResourceId);
+            writer.WritePropertyName("region"u8);
+            writer.WriteStringValue(Region);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        DeploymentResource IJsonModel<DeploymentResource>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DeploymentResource>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DeploymentResource)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeDeploymentResource(document.RootElement, options);
+        }
+
+        internal static DeploymentResource DeserializeDeploymentResource(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string resourceId = default;
+            string region = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("resourceId"u8))
+                {
+                    resourceId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("region"u8))
+                {
+                    region = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new DeploymentResource(resourceId, region, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<DeploymentResource>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DeploymentResource>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(DeploymentResource)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        DeploymentResource IPersistableModel<DeploymentResource>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DeploymentResource>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeDeploymentResource(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(DeploymentResource)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<DeploymentResource>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static DeploymentResource FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeDeploymentResource(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DeploymentResource.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DeploymentResource.cs
new file mode 100644
index 000000000000..ddaa23ddc752
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DeploymentResource.cs
@@ -0,0 +1,82 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents an Azure resource assigned to a deployment. </summary>
+    public partial class DeploymentResource
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="DeploymentResource"/>. </summary>
+        /// <param name="resourceId"> Represents the Azure resource Id. </param>
+        /// <param name="region"> Represents the resource region. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="resourceId"/> or <paramref name="region"/> is null. </exception>
+        internal DeploymentResource(string resourceId, string region)
+        {
+            Argument.AssertNotNull(resourceId, nameof(resourceId));
+            Argument.AssertNotNull(region, nameof(region));
+
+            ResourceId = resourceId;
+            Region = region;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DeploymentResource"/>. </summary>
+        /// <param name="resourceId"> Represents the Azure resource Id. </param>
+        /// <param name="region"> Represents the resource region. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal DeploymentResource(string resourceId, string region, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ResourceId = resourceId;
+            Region = region;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DeploymentResource"/> for deserialization. </summary>
+        internal DeploymentResource()
+        {
+        }
+
+        /// <summary> Represents the Azure resource Id. </summary>
+        public string ResourceId { get; }
+        /// <summary> Represents the resource region. </summary>
+        public string Region { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityLabelEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityLabelEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..dd0269d48533
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityLabelEvaluationResult.Serialization.cs
@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class DocumentEntityLabelEvaluationResult : IUtf8JsonSerializable, IJsonModel<DocumentEntityLabelEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<DocumentEntityLabelEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<DocumentEntityLabelEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEntityLabelEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentEntityLabelEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("category"u8);
+            writer.WriteStringValue(Category);
+            writer.WritePropertyName("offset"u8);
+            writer.WriteNumberValue(Offset);
+            writer.WritePropertyName("length"u8);
+            writer.WriteNumberValue(Length);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        DocumentEntityLabelEvaluationResult IJsonModel<DocumentEntityLabelEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEntityLabelEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentEntityLabelEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeDocumentEntityLabelEvaluationResult(document.RootElement, options);
+        }
+
+        internal static DocumentEntityLabelEvaluationResult DeserializeDocumentEntityLabelEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string category = default;
+            int offset = default;
+            int length = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("category"u8))
+                {
+                    category = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("offset"u8))
+                {
+                    offset = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("length"u8))
+                {
+                    length = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new DocumentEntityLabelEvaluationResult(category, offset, length, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<DocumentEntityLabelEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEntityLabelEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(DocumentEntityLabelEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        DocumentEntityLabelEvaluationResult IPersistableModel<DocumentEntityLabelEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEntityLabelEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeDocumentEntityLabelEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(DocumentEntityLabelEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<DocumentEntityLabelEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static DocumentEntityLabelEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeDocumentEntityLabelEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityLabelEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityLabelEvaluationResult.cs
new file mode 100644
index 000000000000..71040b3cfab8
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityLabelEvaluationResult.cs
@@ -0,0 +1,87 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents an evaluation result entity label. </summary>
+    public partial class DocumentEntityLabelEvaluationResult
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="DocumentEntityLabelEvaluationResult"/>. </summary>
+        /// <param name="category"> Represents the entity category. </param>
+        /// <param name="offset"> Represents the entity offset index relative to the original text. </param>
+        /// <param name="length"> Represents the entity length. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="category"/> is null. </exception>
+        internal DocumentEntityLabelEvaluationResult(string category, int offset, int length)
+        {
+            Argument.AssertNotNull(category, nameof(category));
+
+            Category = category;
+            Offset = offset;
+            Length = length;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentEntityLabelEvaluationResult"/>. </summary>
+        /// <param name="category"> Represents the entity category. </param>
+        /// <param name="offset"> Represents the entity offset index relative to the original text. </param>
+        /// <param name="length"> Represents the entity length. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal DocumentEntityLabelEvaluationResult(string category, int offset, int length, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Category = category;
+            Offset = offset;
+            Length = length;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentEntityLabelEvaluationResult"/> for deserialization. </summary>
+        internal DocumentEntityLabelEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the entity category. </summary>
+        public string Category { get; }
+        /// <summary> Represents the entity offset index relative to the original text. </summary>
+        public int Offset { get; }
+        /// <summary> Represents the entity length. </summary>
+        public int Length { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityRecognitionEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityRecognitionEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..9b53e3833203
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityRecognitionEvaluationResult.Serialization.cs
@@ -0,0 +1,145 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class DocumentEntityRecognitionEvaluationResult : IUtf8JsonSerializable, IJsonModel<DocumentEntityRecognitionEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<DocumentEntityRecognitionEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<DocumentEntityRecognitionEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEntityRecognitionEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentEntityRecognitionEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("entities"u8);
+            writer.WriteStartArray();
+            foreach (var item in Entities)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        DocumentEntityRecognitionEvaluationResult IJsonModel<DocumentEntityRecognitionEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEntityRecognitionEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentEntityRecognitionEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeDocumentEntityRecognitionEvaluationResult(document.RootElement, options);
+        }
+
+        internal static DocumentEntityRecognitionEvaluationResult DeserializeDocumentEntityRecognitionEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IReadOnlyList<DocumentEntityRegionEvaluationResult> entities = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("entities"u8))
+                {
+                    List<DocumentEntityRegionEvaluationResult> array = new List<DocumentEntityRegionEvaluationResult>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(DocumentEntityRegionEvaluationResult.DeserializeDocumentEntityRegionEvaluationResult(item, options));
+                    }
+                    entities = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new DocumentEntityRecognitionEvaluationResult(entities, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<DocumentEntityRecognitionEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEntityRecognitionEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(DocumentEntityRecognitionEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        DocumentEntityRecognitionEvaluationResult IPersistableModel<DocumentEntityRecognitionEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEntityRecognitionEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeDocumentEntityRecognitionEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(DocumentEntityRecognitionEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<DocumentEntityRecognitionEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static DocumentEntityRecognitionEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeDocumentEntityRecognitionEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityRecognitionEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityRecognitionEvaluationResult.cs
new file mode 100644
index 000000000000..2085d538a469
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityRecognitionEvaluationResult.cs
@@ -0,0 +1,76 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the entity recognition evaluation result for a document. </summary>
+    public partial class DocumentEntityRecognitionEvaluationResult
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="DocumentEntityRecognitionEvaluationResult"/>. </summary>
+        /// <param name="entities"> Represents the document labelled entities. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="entities"/> is null. </exception>
+        internal DocumentEntityRecognitionEvaluationResult(IEnumerable<DocumentEntityRegionEvaluationResult> entities)
+        {
+            Argument.AssertNotNull(entities, nameof(entities));
+
+            Entities = entities.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentEntityRecognitionEvaluationResult"/>. </summary>
+        /// <param name="entities"> Represents the document labelled entities. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal DocumentEntityRecognitionEvaluationResult(IReadOnlyList<DocumentEntityRegionEvaluationResult> entities, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Entities = entities;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentEntityRecognitionEvaluationResult"/> for deserialization. </summary>
+        internal DocumentEntityRecognitionEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the document labelled entities. </summary>
+        public IReadOnlyList<DocumentEntityRegionEvaluationResult> Entities { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityRegionEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityRegionEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..ec968f286133
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityRegionEvaluationResult.Serialization.cs
@@ -0,0 +1,179 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class DocumentEntityRegionEvaluationResult : IUtf8JsonSerializable, IJsonModel<DocumentEntityRegionEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<DocumentEntityRegionEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<DocumentEntityRegionEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEntityRegionEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentEntityRegionEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("expectedEntities"u8);
+            writer.WriteStartArray();
+            foreach (var item in ExpectedEntities)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            writer.WritePropertyName("predictedEntities"u8);
+            writer.WriteStartArray();
+            foreach (var item in PredictedEntities)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            writer.WritePropertyName("regionOffset"u8);
+            writer.WriteNumberValue(RegionOffset);
+            writer.WritePropertyName("regionLength"u8);
+            writer.WriteNumberValue(RegionLength);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        DocumentEntityRegionEvaluationResult IJsonModel<DocumentEntityRegionEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEntityRegionEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentEntityRegionEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeDocumentEntityRegionEvaluationResult(document.RootElement, options);
+        }
+
+        internal static DocumentEntityRegionEvaluationResult DeserializeDocumentEntityRegionEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IReadOnlyList<DocumentEntityLabelEvaluationResult> expectedEntities = default;
+            IReadOnlyList<DocumentEntityLabelEvaluationResult> predictedEntities = default;
+            int regionOffset = default;
+            int regionLength = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("expectedEntities"u8))
+                {
+                    List<DocumentEntityLabelEvaluationResult> array = new List<DocumentEntityLabelEvaluationResult>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(DocumentEntityLabelEvaluationResult.DeserializeDocumentEntityLabelEvaluationResult(item, options));
+                    }
+                    expectedEntities = array;
+                    continue;
+                }
+                if (property.NameEquals("predictedEntities"u8))
+                {
+                    List<DocumentEntityLabelEvaluationResult> array = new List<DocumentEntityLabelEvaluationResult>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(DocumentEntityLabelEvaluationResult.DeserializeDocumentEntityLabelEvaluationResult(item, options));
+                    }
+                    predictedEntities = array;
+                    continue;
+                }
+                if (property.NameEquals("regionOffset"u8))
+                {
+                    regionOffset = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("regionLength"u8))
+                {
+                    regionLength = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new DocumentEntityRegionEvaluationResult(expectedEntities, predictedEntities, regionOffset, regionLength, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<DocumentEntityRegionEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEntityRegionEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(DocumentEntityRegionEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        DocumentEntityRegionEvaluationResult IPersistableModel<DocumentEntityRegionEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEntityRegionEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeDocumentEntityRegionEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(DocumentEntityRegionEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<DocumentEntityRegionEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static DocumentEntityRegionEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeDocumentEntityRegionEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityRegionEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityRegionEvaluationResult.cs
new file mode 100644
index 000000000000..4f30ead5add5
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEntityRegionEvaluationResult.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents the evaluation comparison between the expected and predicted
+    /// entities of a document region.
+    /// </summary>
+    public partial class DocumentEntityRegionEvaluationResult
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="DocumentEntityRegionEvaluationResult"/>. </summary>
+        /// <param name="expectedEntities"> Represents the region's expected entity labels. </param>
+        /// <param name="predictedEntities"> Represents the region's predicted entity labels. </param>
+        /// <param name="regionOffset"> Represents the region offset. </param>
+        /// <param name="regionLength"> Represents the region length. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="expectedEntities"/> or <paramref name="predictedEntities"/> is null. </exception>
+        internal DocumentEntityRegionEvaluationResult(IEnumerable<DocumentEntityLabelEvaluationResult> expectedEntities, IEnumerable<DocumentEntityLabelEvaluationResult> predictedEntities, int regionOffset, int regionLength)
+        {
+            Argument.AssertNotNull(expectedEntities, nameof(expectedEntities));
+            Argument.AssertNotNull(predictedEntities, nameof(predictedEntities));
+
+            ExpectedEntities = expectedEntities.ToList();
+            PredictedEntities = predictedEntities.ToList();
+            RegionOffset = regionOffset;
+            RegionLength = regionLength;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentEntityRegionEvaluationResult"/>. </summary>
+        /// <param name="expectedEntities"> Represents the region's expected entity labels. </param>
+        /// <param name="predictedEntities"> Represents the region's predicted entity labels. </param>
+        /// <param name="regionOffset"> Represents the region offset. </param>
+        /// <param name="regionLength"> Represents the region length. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal DocumentEntityRegionEvaluationResult(IReadOnlyList<DocumentEntityLabelEvaluationResult> expectedEntities, IReadOnlyList<DocumentEntityLabelEvaluationResult> predictedEntities, int regionOffset, int regionLength, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ExpectedEntities = expectedEntities;
+            PredictedEntities = predictedEntities;
+            RegionOffset = regionOffset;
+            RegionLength = regionLength;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentEntityRegionEvaluationResult"/> for deserialization. </summary>
+        internal DocumentEntityRegionEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the region's expected entity labels. </summary>
+        public IReadOnlyList<DocumentEntityLabelEvaluationResult> ExpectedEntities { get; }
+        /// <summary> Represents the region's predicted entity labels. </summary>
+        public IReadOnlyList<DocumentEntityLabelEvaluationResult> PredictedEntities { get; }
+        /// <summary> Represents the region offset. </summary>
+        public int RegionOffset { get; }
+        /// <summary> Represents the region length. </summary>
+        public int RegionLength { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..a48990a5bfb0
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEvaluationResult.Serialization.cs
@@ -0,0 +1,134 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    [PersistableModelProxy(typeof(UnknownDocumentEvaluationResult))]
+    public partial class DocumentEvaluationResult : IUtf8JsonSerializable, IJsonModel<DocumentEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<DocumentEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<DocumentEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("location"u8);
+            writer.WriteStringValue(Location);
+            writer.WritePropertyName("language"u8);
+            writer.WriteStringValue(Language);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        DocumentEvaluationResult IJsonModel<DocumentEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeDocumentEvaluationResult(document.RootElement, options);
+        }
+
+        internal static DocumentEvaluationResult DeserializeDocumentEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            if (element.TryGetProperty("projectKind", out JsonElement discriminator))
+            {
+                switch (discriminator.GetString())
+                {
+                    case "CustomEntityRecognition": return CustomEntityRecognitionDocumentEvaluationResult.DeserializeCustomEntityRecognitionDocumentEvaluationResult(element, options);
+                    case "CustomHealthcare": return CustomHealthcareDocumentEvaluationResult.DeserializeCustomHealthcareDocumentEvaluationResult(element, options);
+                    case "CustomMultiLabelClassification": return CustomMultiLabelClassificationDocumentEvaluationResult.DeserializeCustomMultiLabelClassificationDocumentEvaluationResult(element, options);
+                    case "CustomSingleLabelClassification": return CustomSingleLabelClassificationDocumentEvaluationResult.DeserializeCustomSingleLabelClassificationDocumentEvaluationResult(element, options);
+                    case "CustomTextSentiment": return CustomTextSentimentDocumentEvaluationResult.DeserializeCustomTextSentimentDocumentEvaluationResult(element, options);
+                }
+            }
+            return UnknownDocumentEvaluationResult.DeserializeUnknownDocumentEvaluationResult(element, options);
+        }
+
+        BinaryData IPersistableModel<DocumentEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(DocumentEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        DocumentEvaluationResult IPersistableModel<DocumentEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeDocumentEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(DocumentEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<DocumentEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static DocumentEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeDocumentEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEvaluationResult.cs
new file mode 100644
index 000000000000..ad2ecbe54d19
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentEvaluationResult.cs
@@ -0,0 +1,102 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents the evaluation result of a document.
+    /// Please note <see cref="DocumentEvaluationResult"/> is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes.
+    /// The available derived classes include <see cref="CustomEntityRecognitionDocumentEvaluationResult"/>, <see cref="CustomHealthcareDocumentEvaluationResult"/>, <see cref="CustomMultiLabelClassificationDocumentEvaluationResult"/>, <see cref="CustomSingleLabelClassificationDocumentEvaluationResult"/> and <see cref="CustomTextSentimentDocumentEvaluationResult"/>.
+    /// </summary>
+    public abstract partial class DocumentEvaluationResult
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private protected IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="DocumentEvaluationResult"/>. </summary>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="location"/> or <paramref name="language"/> is null. </exception>
+        protected DocumentEvaluationResult(string location, string language)
+        {
+            Argument.AssertNotNull(location, nameof(location));
+            Argument.AssertNotNull(language, nameof(language));
+
+            Location = location;
+            Language = language;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentEvaluationResult"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal DocumentEvaluationResult(ProjectKind projectKind, string location, string language, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ProjectKind = projectKind;
+            Location = location;
+            Language = language;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentEvaluationResult"/> for deserialization. </summary>
+        internal DocumentEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the project kind. </summary>
+        internal ProjectKind ProjectKind { get; set; }
+        /// <summary> Represents the document path. </summary>
+        public string Location { get; }
+        /// <summary>
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </summary>
+        public string Language { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentHealthcareEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentHealthcareEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..9dcead7fd610
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentHealthcareEvaluationResult.Serialization.cs
@@ -0,0 +1,145 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class DocumentHealthcareEvaluationResult : IUtf8JsonSerializable, IJsonModel<DocumentHealthcareEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<DocumentHealthcareEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<DocumentHealthcareEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentHealthcareEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentHealthcareEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("entities"u8);
+            writer.WriteStartArray();
+            foreach (var item in Entities)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        DocumentHealthcareEvaluationResult IJsonModel<DocumentHealthcareEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentHealthcareEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentHealthcareEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeDocumentHealthcareEvaluationResult(document.RootElement, options);
+        }
+
+        internal static DocumentHealthcareEvaluationResult DeserializeDocumentHealthcareEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IReadOnlyList<DocumentEntityRegionEvaluationResult> entities = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("entities"u8))
+                {
+                    List<DocumentEntityRegionEvaluationResult> array = new List<DocumentEntityRegionEvaluationResult>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(DocumentEntityRegionEvaluationResult.DeserializeDocumentEntityRegionEvaluationResult(item, options));
+                    }
+                    entities = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new DocumentHealthcareEvaluationResult(entities, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<DocumentHealthcareEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentHealthcareEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(DocumentHealthcareEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        DocumentHealthcareEvaluationResult IPersistableModel<DocumentHealthcareEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentHealthcareEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeDocumentHealthcareEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(DocumentHealthcareEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<DocumentHealthcareEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static DocumentHealthcareEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeDocumentHealthcareEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentHealthcareEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentHealthcareEvaluationResult.cs
new file mode 100644
index 000000000000..ce6e7bbef7fe
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentHealthcareEvaluationResult.cs
@@ -0,0 +1,76 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the healthcare evaluation result for a document. </summary>
+    public partial class DocumentHealthcareEvaluationResult
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="DocumentHealthcareEvaluationResult"/>. </summary>
+        /// <param name="entities"> Represents the document labelled entities. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="entities"/> is null. </exception>
+        internal DocumentHealthcareEvaluationResult(IEnumerable<DocumentEntityRegionEvaluationResult> entities)
+        {
+            Argument.AssertNotNull(entities, nameof(entities));
+
+            Entities = entities.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentHealthcareEvaluationResult"/>. </summary>
+        /// <param name="entities"> Represents the document labelled entities. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal DocumentHealthcareEvaluationResult(IReadOnlyList<DocumentEntityRegionEvaluationResult> entities, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Entities = entities;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentHealthcareEvaluationResult"/> for deserialization. </summary>
+        internal DocumentHealthcareEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the document labelled entities. </summary>
+        public IReadOnlyList<DocumentEntityRegionEvaluationResult> Entities { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentMultiLabelClassificationEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentMultiLabelClassificationEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..bce7232f08a7
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentMultiLabelClassificationEvaluationResult.Serialization.cs
@@ -0,0 +1,163 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class DocumentMultiLabelClassificationEvaluationResult : IUtf8JsonSerializable, IJsonModel<DocumentMultiLabelClassificationEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<DocumentMultiLabelClassificationEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<DocumentMultiLabelClassificationEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentMultiLabelClassificationEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentMultiLabelClassificationEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("expectedClasses"u8);
+            writer.WriteStartArray();
+            foreach (var item in ExpectedClasses)
+            {
+                writer.WriteStringValue(item);
+            }
+            writer.WriteEndArray();
+            writer.WritePropertyName("predictedClasses"u8);
+            writer.WriteStartArray();
+            foreach (var item in PredictedClasses)
+            {
+                writer.WriteStringValue(item);
+            }
+            writer.WriteEndArray();
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        DocumentMultiLabelClassificationEvaluationResult IJsonModel<DocumentMultiLabelClassificationEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentMultiLabelClassificationEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentMultiLabelClassificationEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeDocumentMultiLabelClassificationEvaluationResult(document.RootElement, options);
+        }
+
+        internal static DocumentMultiLabelClassificationEvaluationResult DeserializeDocumentMultiLabelClassificationEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IReadOnlyList<string> expectedClasses = default;
+            IReadOnlyList<string> predictedClasses = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("expectedClasses"u8))
+                {
+                    List<string> array = new List<string>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(item.GetString());
+                    }
+                    expectedClasses = array;
+                    continue;
+                }
+                if (property.NameEquals("predictedClasses"u8))
+                {
+                    List<string> array = new List<string>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(item.GetString());
+                    }
+                    predictedClasses = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new DocumentMultiLabelClassificationEvaluationResult(expectedClasses, predictedClasses, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<DocumentMultiLabelClassificationEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentMultiLabelClassificationEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(DocumentMultiLabelClassificationEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        DocumentMultiLabelClassificationEvaluationResult IPersistableModel<DocumentMultiLabelClassificationEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentMultiLabelClassificationEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeDocumentMultiLabelClassificationEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(DocumentMultiLabelClassificationEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<DocumentMultiLabelClassificationEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static DocumentMultiLabelClassificationEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeDocumentMultiLabelClassificationEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentMultiLabelClassificationEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentMultiLabelClassificationEvaluationResult.cs
new file mode 100644
index 000000000000..0119f0a4751d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentMultiLabelClassificationEvaluationResult.cs
@@ -0,0 +1,86 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents the comparison between the expected and predicted classes that are
+    /// result from the evaluation operation.
+    /// </summary>
+    public partial class DocumentMultiLabelClassificationEvaluationResult
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="DocumentMultiLabelClassificationEvaluationResult"/>. </summary>
+        /// <param name="expectedClasses"> Represents the document's expected classes. </param>
+        /// <param name="predictedClasses"> Represents the document's predicted classes. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="expectedClasses"/> or <paramref name="predictedClasses"/> is null. </exception>
+        internal DocumentMultiLabelClassificationEvaluationResult(IEnumerable<string> expectedClasses, IEnumerable<string> predictedClasses)
+        {
+            Argument.AssertNotNull(expectedClasses, nameof(expectedClasses));
+            Argument.AssertNotNull(predictedClasses, nameof(predictedClasses));
+
+            ExpectedClasses = expectedClasses.ToList();
+            PredictedClasses = predictedClasses.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentMultiLabelClassificationEvaluationResult"/>. </summary>
+        /// <param name="expectedClasses"> Represents the document's expected classes. </param>
+        /// <param name="predictedClasses"> Represents the document's predicted classes. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal DocumentMultiLabelClassificationEvaluationResult(IReadOnlyList<string> expectedClasses, IReadOnlyList<string> predictedClasses, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ExpectedClasses = expectedClasses;
+            PredictedClasses = predictedClasses;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentMultiLabelClassificationEvaluationResult"/> for deserialization. </summary>
+        internal DocumentMultiLabelClassificationEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the document's expected classes. </summary>
+        public IReadOnlyList<string> ExpectedClasses { get; }
+        /// <summary> Represents the document's predicted classes. </summary>
+        public IReadOnlyList<string> PredictedClasses { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentSentimentLabelEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentSentimentLabelEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..a727ecf4708d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentSentimentLabelEvaluationResult.Serialization.cs
@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class DocumentSentimentLabelEvaluationResult : IUtf8JsonSerializable, IJsonModel<DocumentSentimentLabelEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<DocumentSentimentLabelEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<DocumentSentimentLabelEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentSentimentLabelEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentSentimentLabelEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("category"u8);
+            writer.WriteStringValue(Category.ToString());
+            writer.WritePropertyName("offset"u8);
+            writer.WriteNumberValue(Offset);
+            writer.WritePropertyName("length"u8);
+            writer.WriteNumberValue(Length);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        DocumentSentimentLabelEvaluationResult IJsonModel<DocumentSentimentLabelEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentSentimentLabelEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentSentimentLabelEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeDocumentSentimentLabelEvaluationResult(document.RootElement, options);
+        }
+
+        internal static DocumentSentimentLabelEvaluationResult DeserializeDocumentSentimentLabelEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            TextAnalysisAuthoringSentiment category = default;
+            int offset = default;
+            int length = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("category"u8))
+                {
+                    category = new TextAnalysisAuthoringSentiment(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("offset"u8))
+                {
+                    offset = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("length"u8))
+                {
+                    length = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new DocumentSentimentLabelEvaluationResult(category, offset, length, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<DocumentSentimentLabelEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentSentimentLabelEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(DocumentSentimentLabelEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        DocumentSentimentLabelEvaluationResult IPersistableModel<DocumentSentimentLabelEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentSentimentLabelEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeDocumentSentimentLabelEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(DocumentSentimentLabelEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<DocumentSentimentLabelEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static DocumentSentimentLabelEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeDocumentSentimentLabelEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentSentimentLabelEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentSentimentLabelEvaluationResult.cs
new file mode 100644
index 000000000000..1a6cace10ea1
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentSentimentLabelEvaluationResult.cs
@@ -0,0 +1,84 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents an evaluation result Sentiment label. </summary>
+    public partial class DocumentSentimentLabelEvaluationResult
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="DocumentSentimentLabelEvaluationResult"/>. </summary>
+        /// <param name="category"> Represents the sentiment category. </param>
+        /// <param name="offset"> Represents the sentiment offset index relative to the original text. </param>
+        /// <param name="length"> Represents the sentiment length. </param>
+        internal DocumentSentimentLabelEvaluationResult(TextAnalysisAuthoringSentiment category, int offset, int length)
+        {
+            Category = category;
+            Offset = offset;
+            Length = length;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentSentimentLabelEvaluationResult"/>. </summary>
+        /// <param name="category"> Represents the sentiment category. </param>
+        /// <param name="offset"> Represents the sentiment offset index relative to the original text. </param>
+        /// <param name="length"> Represents the sentiment length. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal DocumentSentimentLabelEvaluationResult(TextAnalysisAuthoringSentiment category, int offset, int length, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Category = category;
+            Offset = offset;
+            Length = length;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentSentimentLabelEvaluationResult"/> for deserialization. </summary>
+        internal DocumentSentimentLabelEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the sentiment category. </summary>
+        public TextAnalysisAuthoringSentiment Category { get; }
+        /// <summary> Represents the sentiment offset index relative to the original text. </summary>
+        public int Offset { get; }
+        /// <summary> Represents the sentiment length. </summary>
+        public int Length { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentSingleLabelClassificationEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentSingleLabelClassificationEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..199376c331d5
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentSingleLabelClassificationEvaluationResult.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class DocumentSingleLabelClassificationEvaluationResult : IUtf8JsonSerializable, IJsonModel<DocumentSingleLabelClassificationEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<DocumentSingleLabelClassificationEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<DocumentSingleLabelClassificationEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentSingleLabelClassificationEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentSingleLabelClassificationEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("expectedClass"u8);
+            writer.WriteStringValue(ExpectedClass);
+            writer.WritePropertyName("predictedClass"u8);
+            writer.WriteStringValue(PredictedClass);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        DocumentSingleLabelClassificationEvaluationResult IJsonModel<DocumentSingleLabelClassificationEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentSingleLabelClassificationEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentSingleLabelClassificationEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeDocumentSingleLabelClassificationEvaluationResult(document.RootElement, options);
+        }
+
+        internal static DocumentSingleLabelClassificationEvaluationResult DeserializeDocumentSingleLabelClassificationEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string expectedClass = default;
+            string predictedClass = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("expectedClass"u8))
+                {
+                    expectedClass = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("predictedClass"u8))
+                {
+                    predictedClass = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new DocumentSingleLabelClassificationEvaluationResult(expectedClass, predictedClass, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<DocumentSingleLabelClassificationEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentSingleLabelClassificationEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(DocumentSingleLabelClassificationEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        DocumentSingleLabelClassificationEvaluationResult IPersistableModel<DocumentSingleLabelClassificationEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentSingleLabelClassificationEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeDocumentSingleLabelClassificationEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(DocumentSingleLabelClassificationEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<DocumentSingleLabelClassificationEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static DocumentSingleLabelClassificationEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeDocumentSingleLabelClassificationEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentSingleLabelClassificationEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentSingleLabelClassificationEvaluationResult.cs
new file mode 100644
index 000000000000..c7b90168e4e1
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentSingleLabelClassificationEvaluationResult.cs
@@ -0,0 +1,85 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents the comparison between the expected and predicted class that result
+    /// from an evaluation operation.
+    /// </summary>
+    public partial class DocumentSingleLabelClassificationEvaluationResult
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="DocumentSingleLabelClassificationEvaluationResult"/>. </summary>
+        /// <param name="expectedClass"> Represents the document's expected class. </param>
+        /// <param name="predictedClass"> Represents the document's predicted class. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="expectedClass"/> or <paramref name="predictedClass"/> is null. </exception>
+        internal DocumentSingleLabelClassificationEvaluationResult(string expectedClass, string predictedClass)
+        {
+            Argument.AssertNotNull(expectedClass, nameof(expectedClass));
+            Argument.AssertNotNull(predictedClass, nameof(predictedClass));
+
+            ExpectedClass = expectedClass;
+            PredictedClass = predictedClass;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentSingleLabelClassificationEvaluationResult"/>. </summary>
+        /// <param name="expectedClass"> Represents the document's expected class. </param>
+        /// <param name="predictedClass"> Represents the document's predicted class. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal DocumentSingleLabelClassificationEvaluationResult(string expectedClass, string predictedClass, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ExpectedClass = expectedClass;
+            PredictedClass = predictedClass;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentSingleLabelClassificationEvaluationResult"/> for deserialization. </summary>
+        internal DocumentSingleLabelClassificationEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the document's expected class. </summary>
+        public string ExpectedClass { get; }
+        /// <summary> Represents the document's predicted class. </summary>
+        public string PredictedClass { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentTextSentimentEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentTextSentimentEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..8e2a2ea00a0b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentTextSentimentEvaluationResult.Serialization.cs
@@ -0,0 +1,163 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class DocumentTextSentimentEvaluationResult : IUtf8JsonSerializable, IJsonModel<DocumentTextSentimentEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<DocumentTextSentimentEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<DocumentTextSentimentEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentTextSentimentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentTextSentimentEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("expectedSentimentSpans"u8);
+            writer.WriteStartArray();
+            foreach (var item in ExpectedSentimentSpans)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            writer.WritePropertyName("predictedSentimentSpans"u8);
+            writer.WriteStartArray();
+            foreach (var item in PredictedSentimentSpans)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        DocumentTextSentimentEvaluationResult IJsonModel<DocumentTextSentimentEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentTextSentimentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentTextSentimentEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeDocumentTextSentimentEvaluationResult(document.RootElement, options);
+        }
+
+        internal static DocumentTextSentimentEvaluationResult DeserializeDocumentTextSentimentEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IReadOnlyList<DocumentSentimentLabelEvaluationResult> expectedSentimentSpans = default;
+            IReadOnlyList<DocumentSentimentLabelEvaluationResult> predictedSentimentSpans = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("expectedSentimentSpans"u8))
+                {
+                    List<DocumentSentimentLabelEvaluationResult> array = new List<DocumentSentimentLabelEvaluationResult>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(DocumentSentimentLabelEvaluationResult.DeserializeDocumentSentimentLabelEvaluationResult(item, options));
+                    }
+                    expectedSentimentSpans = array;
+                    continue;
+                }
+                if (property.NameEquals("predictedSentimentSpans"u8))
+                {
+                    List<DocumentSentimentLabelEvaluationResult> array = new List<DocumentSentimentLabelEvaluationResult>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(DocumentSentimentLabelEvaluationResult.DeserializeDocumentSentimentLabelEvaluationResult(item, options));
+                    }
+                    predictedSentimentSpans = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new DocumentTextSentimentEvaluationResult(expectedSentimentSpans, predictedSentimentSpans, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<DocumentTextSentimentEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentTextSentimentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(DocumentTextSentimentEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        DocumentTextSentimentEvaluationResult IPersistableModel<DocumentTextSentimentEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentTextSentimentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeDocumentTextSentimentEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(DocumentTextSentimentEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<DocumentTextSentimentEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static DocumentTextSentimentEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeDocumentTextSentimentEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentTextSentimentEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentTextSentimentEvaluationResult.cs
new file mode 100644
index 000000000000..32ca37acbb3f
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/DocumentTextSentimentEvaluationResult.cs
@@ -0,0 +1,86 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents the comparison between the expected and predicted sentiment that
+    /// result from an evaluation operation.
+    /// </summary>
+    public partial class DocumentTextSentimentEvaluationResult
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="DocumentTextSentimentEvaluationResult"/>. </summary>
+        /// <param name="expectedSentimentSpans"> Represents the document's expected sentiment labels. </param>
+        /// <param name="predictedSentimentSpans"> Represents the document's predicted sentiment labels. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="expectedSentimentSpans"/> or <paramref name="predictedSentimentSpans"/> is null. </exception>
+        internal DocumentTextSentimentEvaluationResult(IEnumerable<DocumentSentimentLabelEvaluationResult> expectedSentimentSpans, IEnumerable<DocumentSentimentLabelEvaluationResult> predictedSentimentSpans)
+        {
+            Argument.AssertNotNull(expectedSentimentSpans, nameof(expectedSentimentSpans));
+            Argument.AssertNotNull(predictedSentimentSpans, nameof(predictedSentimentSpans));
+
+            ExpectedSentimentSpans = expectedSentimentSpans.ToList();
+            PredictedSentimentSpans = predictedSentimentSpans.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentTextSentimentEvaluationResult"/>. </summary>
+        /// <param name="expectedSentimentSpans"> Represents the document's expected sentiment labels. </param>
+        /// <param name="predictedSentimentSpans"> Represents the document's predicted sentiment labels. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal DocumentTextSentimentEvaluationResult(IReadOnlyList<DocumentSentimentLabelEvaluationResult> expectedSentimentSpans, IReadOnlyList<DocumentSentimentLabelEvaluationResult> predictedSentimentSpans, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ExpectedSentimentSpans = expectedSentimentSpans;
+            PredictedSentimentSpans = predictedSentimentSpans;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DocumentTextSentimentEvaluationResult"/> for deserialization. </summary>
+        internal DocumentTextSentimentEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the document's expected sentiment labels. </summary>
+        public IReadOnlyList<DocumentSentimentLabelEvaluationResult> ExpectedSentimentSpans { get; }
+        /// <summary> Represents the document's predicted sentiment labels. </summary>
+        public IReadOnlyList<DocumentSentimentLabelEvaluationResult> PredictedSentimentSpans { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EntityEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EntityEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..82492be9a2b4
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EntityEvaluationSummary.Serialization.cs
@@ -0,0 +1,191 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class EntityEvaluationSummary : IUtf8JsonSerializable, IJsonModel<EntityEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<EntityEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<EntityEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EntityEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EntityEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("f1"u8);
+            writer.WriteNumberValue(F1);
+            writer.WritePropertyName("precision"u8);
+            writer.WriteNumberValue(Precision);
+            writer.WritePropertyName("recall"u8);
+            writer.WriteNumberValue(Recall);
+            writer.WritePropertyName("truePositiveCount"u8);
+            writer.WriteNumberValue(TruePositiveCount);
+            writer.WritePropertyName("trueNegativeCount"u8);
+            writer.WriteNumberValue(TrueNegativeCount);
+            writer.WritePropertyName("falsePositiveCount"u8);
+            writer.WriteNumberValue(FalsePositiveCount);
+            writer.WritePropertyName("falseNegativeCount"u8);
+            writer.WriteNumberValue(FalseNegativeCount);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        EntityEvaluationSummary IJsonModel<EntityEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EntityEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EntityEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeEntityEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static EntityEvaluationSummary DeserializeEntityEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            double f1 = default;
+            double precision = default;
+            double recall = default;
+            int truePositiveCount = default;
+            int trueNegativeCount = default;
+            int falsePositiveCount = default;
+            int falseNegativeCount = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("f1"u8))
+                {
+                    f1 = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("precision"u8))
+                {
+                    precision = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("recall"u8))
+                {
+                    recall = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("truePositiveCount"u8))
+                {
+                    truePositiveCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("trueNegativeCount"u8))
+                {
+                    trueNegativeCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("falsePositiveCount"u8))
+                {
+                    falsePositiveCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("falseNegativeCount"u8))
+                {
+                    falseNegativeCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new EntityEvaluationSummary(
+                f1,
+                precision,
+                recall,
+                truePositiveCount,
+                trueNegativeCount,
+                falsePositiveCount,
+                falseNegativeCount,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<EntityEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EntityEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(EntityEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        EntityEvaluationSummary IPersistableModel<EntityEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EntityEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeEntityEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(EntityEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<EntityEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static EntityEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeEntityEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EntityEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EntityEvaluationSummary.cs
new file mode 100644
index 000000000000..1ded1789e180
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EntityEvaluationSummary.cs
@@ -0,0 +1,108 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the evaluation summary for an entity. </summary>
+    public partial class EntityEvaluationSummary
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="EntityEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        internal EntityEvaluationSummary(double f1, double precision, double recall, int truePositiveCount, int trueNegativeCount, int falsePositiveCount, int falseNegativeCount)
+        {
+            F1 = f1;
+            Precision = precision;
+            Recall = recall;
+            TruePositiveCount = truePositiveCount;
+            TrueNegativeCount = trueNegativeCount;
+            FalsePositiveCount = falsePositiveCount;
+            FalseNegativeCount = falseNegativeCount;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EntityEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal EntityEvaluationSummary(double f1, double precision, double recall, int truePositiveCount, int trueNegativeCount, int falsePositiveCount, int falseNegativeCount, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            F1 = f1;
+            Precision = precision;
+            Recall = recall;
+            TruePositiveCount = truePositiveCount;
+            TrueNegativeCount = trueNegativeCount;
+            FalsePositiveCount = falsePositiveCount;
+            FalseNegativeCount = falseNegativeCount;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EntityEvaluationSummary"/> for deserialization. </summary>
+        internal EntityEvaluationSummary()
+        {
+        }
+
+        /// <summary> Represents the model precision. </summary>
+        public double F1 { get; }
+        /// <summary> Represents the model recall. </summary>
+        public double Precision { get; }
+        /// <summary> Represents the model F1 score. </summary>
+        public double Recall { get; }
+        /// <summary> Represents the count of true positive. </summary>
+        public int TruePositiveCount { get; }
+        /// <summary> Represents the count of true negative. </summary>
+        public int TrueNegativeCount { get; }
+        /// <summary> Represents the count of false positive. </summary>
+        public int FalsePositiveCount { get; }
+        /// <summary> Represents the count of false negative. </summary>
+        public int FalseNegativeCount { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EntityRecognitionEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EntityRecognitionEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..960c3f1cfdf8
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EntityRecognitionEvaluationSummary.Serialization.cs
@@ -0,0 +1,211 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class EntityRecognitionEvaluationSummary : IUtf8JsonSerializable, IJsonModel<EntityRecognitionEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<EntityRecognitionEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<EntityRecognitionEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EntityRecognitionEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EntityRecognitionEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("confusionMatrix"u8);
+            writer.WriteObjectValue(ConfusionMatrix, options);
+            writer.WritePropertyName("entities"u8);
+            writer.WriteStartObject();
+            foreach (var item in Entities)
+            {
+                writer.WritePropertyName(item.Key);
+                writer.WriteObjectValue(item.Value, options);
+            }
+            writer.WriteEndObject();
+            writer.WritePropertyName("microF1"u8);
+            writer.WriteNumberValue(MicroF1);
+            writer.WritePropertyName("microPrecision"u8);
+            writer.WriteNumberValue(MicroPrecision);
+            writer.WritePropertyName("microRecall"u8);
+            writer.WriteNumberValue(MicroRecall);
+            writer.WritePropertyName("macroF1"u8);
+            writer.WriteNumberValue(MacroF1);
+            writer.WritePropertyName("macroPrecision"u8);
+            writer.WriteNumberValue(MacroPrecision);
+            writer.WritePropertyName("macroRecall"u8);
+            writer.WriteNumberValue(MacroRecall);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        EntityRecognitionEvaluationSummary IJsonModel<EntityRecognitionEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EntityRecognitionEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EntityRecognitionEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeEntityRecognitionEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static EntityRecognitionEvaluationSummary DeserializeEntityRecognitionEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ConfusionMatrix confusionMatrix = default;
+            IReadOnlyDictionary<string, EntityEvaluationSummary> entities = default;
+            float microF1 = default;
+            float microPrecision = default;
+            float microRecall = default;
+            float macroF1 = default;
+            float macroPrecision = default;
+            float macroRecall = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("confusionMatrix"u8))
+                {
+                    confusionMatrix = ConfusionMatrix.DeserializeConfusionMatrix(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("entities"u8))
+                {
+                    Dictionary<string, EntityEvaluationSummary> dictionary = new Dictionary<string, EntityEvaluationSummary>();
+                    foreach (var property0 in property.Value.EnumerateObject())
+                    {
+                        dictionary.Add(property0.Name, EntityEvaluationSummary.DeserializeEntityEvaluationSummary(property0.Value, options));
+                    }
+                    entities = dictionary;
+                    continue;
+                }
+                if (property.NameEquals("microF1"u8))
+                {
+                    microF1 = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("microPrecision"u8))
+                {
+                    microPrecision = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("microRecall"u8))
+                {
+                    microRecall = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroF1"u8))
+                {
+                    macroF1 = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroPrecision"u8))
+                {
+                    macroPrecision = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroRecall"u8))
+                {
+                    macroRecall = property.Value.GetSingle();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new EntityRecognitionEvaluationSummary(
+                confusionMatrix,
+                entities,
+                microF1,
+                microPrecision,
+                microRecall,
+                macroF1,
+                macroPrecision,
+                macroRecall,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<EntityRecognitionEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EntityRecognitionEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(EntityRecognitionEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        EntityRecognitionEvaluationSummary IPersistableModel<EntityRecognitionEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EntityRecognitionEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeEntityRecognitionEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(EntityRecognitionEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<EntityRecognitionEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static EntityRecognitionEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeEntityRecognitionEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EntityRecognitionEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EntityRecognitionEvaluationSummary.cs
new file mode 100644
index 000000000000..27a856dff90d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EntityRecognitionEvaluationSummary.cs
@@ -0,0 +1,166 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the evaluation summary for a custom entity recognition project. </summary>
+    public partial class EntityRecognitionEvaluationSummary
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="EntityRecognitionEvaluationSummary"/>. </summary>
+        /// <param name="confusionMatrix">
+        /// Represents the confusion matrix between two entities (the two entities can be
+        /// the same). The matrix is between the entity that was labelled and the entity
+        /// that was predicted.
+        /// </param>
+        /// <param name="entities"> Represents the entities evaluation. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="confusionMatrix"/> or <paramref name="entities"/> is null. </exception>
+        internal EntityRecognitionEvaluationSummary(ConfusionMatrix confusionMatrix, IReadOnlyDictionary<string, EntityEvaluationSummary> entities, float microF1, float microPrecision, float microRecall, float macroF1, float macroPrecision, float macroRecall)
+        {
+            Argument.AssertNotNull(confusionMatrix, nameof(confusionMatrix));
+            Argument.AssertNotNull(entities, nameof(entities));
+
+            ConfusionMatrix = confusionMatrix;
+            Entities = entities;
+            MicroF1 = microF1;
+            MicroPrecision = microPrecision;
+            MicroRecall = microRecall;
+            MacroF1 = macroF1;
+            MacroPrecision = macroPrecision;
+            MacroRecall = macroRecall;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EntityRecognitionEvaluationSummary"/>. </summary>
+        /// <param name="confusionMatrix">
+        /// Represents the confusion matrix between two entities (the two entities can be
+        /// the same). The matrix is between the entity that was labelled and the entity
+        /// that was predicted.
+        /// </param>
+        /// <param name="entities"> Represents the entities evaluation. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal EntityRecognitionEvaluationSummary(ConfusionMatrix confusionMatrix, IReadOnlyDictionary<string, EntityEvaluationSummary> entities, float microF1, float microPrecision, float microRecall, float macroF1, float macroPrecision, float macroRecall, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ConfusionMatrix = confusionMatrix;
+            Entities = entities;
+            MicroF1 = microF1;
+            MicroPrecision = microPrecision;
+            MicroRecall = microRecall;
+            MacroF1 = macroF1;
+            MacroPrecision = macroPrecision;
+            MacroRecall = macroRecall;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EntityRecognitionEvaluationSummary"/> for deserialization. </summary>
+        internal EntityRecognitionEvaluationSummary()
+        {
+        }
+
+        /// <summary>
+        /// Represents the confusion matrix between two entities (the two entities can be
+        /// the same). The matrix is between the entity that was labelled and the entity
+        /// that was predicted.
+        /// </summary>
+        public ConfusionMatrix ConfusionMatrix { get; }
+        /// <summary> Represents the entities evaluation. </summary>
+        public IReadOnlyDictionary<string, EntityEvaluationSummary> Entities { get; }
+        /// <summary> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </summary>
+        public float MicroF1 { get; }
+        /// <summary>
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MicroPrecision { get; }
+        /// <summary>
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MicroRecall { get; }
+        /// <summary> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </summary>
+        public float MacroF1 { get; }
+        /// <summary>
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MacroPrecision { get; }
+        /// <summary>
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MacroRecall { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ErrorCode.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ErrorCode.cs
new file mode 100644
index 000000000000..6b3343327ef2
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ErrorCode.cs
@@ -0,0 +1,99 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Human-readable error code. </summary>
+    public readonly partial struct ErrorCode : IEquatable<ErrorCode>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="ErrorCode"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public ErrorCode(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string InvalidRequestValue = "InvalidRequest";
+        private const string InvalidArgumentValue = "InvalidArgument";
+        private const string UnauthorizedValue = "Unauthorized";
+        private const string ForbiddenValue = "Forbidden";
+        private const string NotFoundValue = "NotFound";
+        private const string ProjectNotFoundValue = "ProjectNotFound";
+        private const string OperationNotFoundValue = "OperationNotFound";
+        private const string AzureCognitiveSearchNotFoundValue = "AzureCognitiveSearchNotFound";
+        private const string AzureCognitiveSearchIndexNotFoundValue = "AzureCognitiveSearchIndexNotFound";
+        private const string TooManyRequestsValue = "TooManyRequests";
+        private const string AzureCognitiveSearchThrottlingValue = "AzureCognitiveSearchThrottling";
+        private const string AzureCognitiveSearchIndexLimitReachedValue = "AzureCognitiveSearchIndexLimitReached";
+        private const string InternalServerErrorValue = "InternalServerError";
+        private const string ServiceUnavailableValue = "ServiceUnavailable";
+        private const string TimeoutValue = "Timeout";
+        private const string QuotaExceededValue = "QuotaExceeded";
+        private const string ConflictValue = "Conflict";
+        private const string WarningValue = "Warning";
+
+        /// <summary> InvalidRequest. </summary>
+        public static ErrorCode InvalidRequest { get; } = new ErrorCode(InvalidRequestValue);
+        /// <summary> InvalidArgument. </summary>
+        public static ErrorCode InvalidArgument { get; } = new ErrorCode(InvalidArgumentValue);
+        /// <summary> Unauthorized. </summary>
+        public static ErrorCode Unauthorized { get; } = new ErrorCode(UnauthorizedValue);
+        /// <summary> Forbidden. </summary>
+        public static ErrorCode Forbidden { get; } = new ErrorCode(ForbiddenValue);
+        /// <summary> NotFound. </summary>
+        public static ErrorCode NotFound { get; } = new ErrorCode(NotFoundValue);
+        /// <summary> ProjectNotFound. </summary>
+        public static ErrorCode ProjectNotFound { get; } = new ErrorCode(ProjectNotFoundValue);
+        /// <summary> OperationNotFound. </summary>
+        public static ErrorCode OperationNotFound { get; } = new ErrorCode(OperationNotFoundValue);
+        /// <summary> AzureCognitiveSearchNotFound. </summary>
+        public static ErrorCode AzureCognitiveSearchNotFound { get; } = new ErrorCode(AzureCognitiveSearchNotFoundValue);
+        /// <summary> AzureCognitiveSearchIndexNotFound. </summary>
+        public static ErrorCode AzureCognitiveSearchIndexNotFound { get; } = new ErrorCode(AzureCognitiveSearchIndexNotFoundValue);
+        /// <summary> TooManyRequests. </summary>
+        public static ErrorCode TooManyRequests { get; } = new ErrorCode(TooManyRequestsValue);
+        /// <summary> AzureCognitiveSearchThrottling. </summary>
+        public static ErrorCode AzureCognitiveSearchThrottling { get; } = new ErrorCode(AzureCognitiveSearchThrottlingValue);
+        /// <summary> AzureCognitiveSearchIndexLimitReached. </summary>
+        public static ErrorCode AzureCognitiveSearchIndexLimitReached { get; } = new ErrorCode(AzureCognitiveSearchIndexLimitReachedValue);
+        /// <summary> InternalServerError. </summary>
+        public static ErrorCode InternalServerError { get; } = new ErrorCode(InternalServerErrorValue);
+        /// <summary> ServiceUnavailable. </summary>
+        public static ErrorCode ServiceUnavailable { get; } = new ErrorCode(ServiceUnavailableValue);
+        /// <summary> Timeout. </summary>
+        public static ErrorCode Timeout { get; } = new ErrorCode(TimeoutValue);
+        /// <summary> QuotaExceeded. </summary>
+        public static ErrorCode QuotaExceeded { get; } = new ErrorCode(QuotaExceededValue);
+        /// <summary> Conflict. </summary>
+        public static ErrorCode Conflict { get; } = new ErrorCode(ConflictValue);
+        /// <summary> Warning. </summary>
+        public static ErrorCode Warning { get; } = new ErrorCode(WarningValue);
+        /// <summary> Determines if two <see cref="ErrorCode"/> values are the same. </summary>
+        public static bool operator ==(ErrorCode left, ErrorCode right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="ErrorCode"/> values are not the same. </summary>
+        public static bool operator !=(ErrorCode left, ErrorCode right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="ErrorCode"/>. </summary>
+        public static implicit operator ErrorCode(string value) => new ErrorCode(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is ErrorCode other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(ErrorCode other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationConfig.Serialization.cs
new file mode 100644
index 000000000000..6ef0acd0734d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationConfig.Serialization.cs
@@ -0,0 +1,172 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class EvaluationConfig : IUtf8JsonSerializable, IJsonModel<EvaluationConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<EvaluationConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<EvaluationConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EvaluationConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsDefined(Kind))
+            {
+                writer.WritePropertyName("kind"u8);
+                writer.WriteStringValue(Kind.Value.ToString());
+            }
+            if (Optional.IsDefined(TrainingSplitPercentage))
+            {
+                writer.WritePropertyName("trainingSplitPercentage"u8);
+                writer.WriteNumberValue(TrainingSplitPercentage.Value);
+            }
+            if (Optional.IsDefined(TestingSplitPercentage))
+            {
+                writer.WritePropertyName("testingSplitPercentage"u8);
+                writer.WriteNumberValue(TestingSplitPercentage.Value);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        EvaluationConfig IJsonModel<EvaluationConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EvaluationConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeEvaluationConfig(document.RootElement, options);
+        }
+
+        internal static EvaluationConfig DeserializeEvaluationConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            EvaluationKind? kind = default;
+            int? trainingSplitPercentage = default;
+            int? testingSplitPercentage = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("kind"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    kind = new EvaluationKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("trainingSplitPercentage"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    trainingSplitPercentage = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("testingSplitPercentage"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    testingSplitPercentage = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new EvaluationConfig(kind, trainingSplitPercentage, testingSplitPercentage, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<EvaluationConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(EvaluationConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        EvaluationConfig IPersistableModel<EvaluationConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeEvaluationConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(EvaluationConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<EvaluationConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static EvaluationConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeEvaluationConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationConfig.cs
new file mode 100644
index 000000000000..835b6b4a94c0
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationConfig.cs
@@ -0,0 +1,91 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the options used running the evaluation. </summary>
+    public partial class EvaluationConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationConfig"/>. </summary>
+        public EvaluationConfig()
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationConfig"/>. </summary>
+        /// <param name="kind">
+        /// Represents the evaluation kind. By default, the evaluation kind is set to
+        /// percentage.
+        /// </param>
+        /// <param name="trainingSplitPercentage">
+        /// Represents the training dataset split percentage. Only needed in case the
+        /// evaluation kind is percentage.
+        /// </param>
+        /// <param name="testingSplitPercentage">
+        /// Represents the testing dataset split percentage. Only needed in case the
+        /// evaluation kind is percentage.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal EvaluationConfig(EvaluationKind? kind, int? trainingSplitPercentage, int? testingSplitPercentage, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Kind = kind;
+            TrainingSplitPercentage = trainingSplitPercentage;
+            TestingSplitPercentage = testingSplitPercentage;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary>
+        /// Represents the evaluation kind. By default, the evaluation kind is set to
+        /// percentage.
+        /// </summary>
+        public EvaluationKind? Kind { get; set; }
+        /// <summary>
+        /// Represents the training dataset split percentage. Only needed in case the
+        /// evaluation kind is percentage.
+        /// </summary>
+        public int? TrainingSplitPercentage { get; set; }
+        /// <summary>
+        /// Represents the testing dataset split percentage. Only needed in case the
+        /// evaluation kind is percentage.
+        /// </summary>
+        public int? TestingSplitPercentage { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationJobResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationJobResult.Serialization.cs
new file mode 100644
index 000000000000..1c216994cea1
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationJobResult.Serialization.cs
@@ -0,0 +1,159 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class EvaluationJobResult : IUtf8JsonSerializable, IJsonModel<EvaluationJobResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<EvaluationJobResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<EvaluationJobResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationJobResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EvaluationJobResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("evaluationOptions"u8);
+            writer.WriteObjectValue(EvaluationOptions, options);
+            writer.WritePropertyName("modelLabel"u8);
+            writer.WriteStringValue(ModelLabel);
+            writer.WritePropertyName("trainingConfigVersion"u8);
+            writer.WriteStringValue(TrainingConfigVersion);
+            writer.WritePropertyName("percentComplete"u8);
+            writer.WriteNumberValue(PercentComplete);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        EvaluationJobResult IJsonModel<EvaluationJobResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationJobResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EvaluationJobResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeEvaluationJobResult(document.RootElement, options);
+        }
+
+        internal static EvaluationJobResult DeserializeEvaluationJobResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            EvaluationConfig evaluationOptions = default;
+            string modelLabel = default;
+            string trainingConfigVersion = default;
+            int percentComplete = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("evaluationOptions"u8))
+                {
+                    evaluationOptions = EvaluationConfig.DeserializeEvaluationConfig(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("modelLabel"u8))
+                {
+                    modelLabel = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("trainingConfigVersion"u8))
+                {
+                    trainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("percentComplete"u8))
+                {
+                    percentComplete = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new EvaluationJobResult(evaluationOptions, modelLabel, trainingConfigVersion, percentComplete, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<EvaluationJobResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationJobResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(EvaluationJobResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        EvaluationJobResult IPersistableModel<EvaluationJobResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationJobResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeEvaluationJobResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(EvaluationJobResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<EvaluationJobResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static EvaluationJobResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeEvaluationJobResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationJobResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationJobResult.cs
new file mode 100644
index 000000000000..b7cdfeb01e6d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationJobResult.cs
@@ -0,0 +1,95 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The EvaluationJobResult. </summary>
+    public partial class EvaluationJobResult
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationJobResult"/>. </summary>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="modelLabel"> Represents trained model label. </param>
+        /// <param name="trainingConfigVersion"> Represents training config version. </param>
+        /// <param name="percentComplete"> Represents progress percentage. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="evaluationOptions"/>, <paramref name="modelLabel"/> or <paramref name="trainingConfigVersion"/> is null. </exception>
+        internal EvaluationJobResult(EvaluationConfig evaluationOptions, string modelLabel, string trainingConfigVersion, int percentComplete)
+        {
+            Argument.AssertNotNull(evaluationOptions, nameof(evaluationOptions));
+            Argument.AssertNotNull(modelLabel, nameof(modelLabel));
+            Argument.AssertNotNull(trainingConfigVersion, nameof(trainingConfigVersion));
+
+            EvaluationOptions = evaluationOptions;
+            ModelLabel = modelLabel;
+            TrainingConfigVersion = trainingConfigVersion;
+            PercentComplete = percentComplete;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationJobResult"/>. </summary>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="modelLabel"> Represents trained model label. </param>
+        /// <param name="trainingConfigVersion"> Represents training config version. </param>
+        /// <param name="percentComplete"> Represents progress percentage. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal EvaluationJobResult(EvaluationConfig evaluationOptions, string modelLabel, string trainingConfigVersion, int percentComplete, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            EvaluationOptions = evaluationOptions;
+            ModelLabel = modelLabel;
+            TrainingConfigVersion = trainingConfigVersion;
+            PercentComplete = percentComplete;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationJobResult"/> for deserialization. </summary>
+        internal EvaluationJobResult()
+        {
+        }
+
+        /// <summary> Represents the options used running the evaluation. </summary>
+        public EvaluationConfig EvaluationOptions { get; }
+        /// <summary> Represents trained model label. </summary>
+        public string ModelLabel { get; }
+        /// <summary> Represents training config version. </summary>
+        public string TrainingConfigVersion { get; }
+        /// <summary> Represents progress percentage. </summary>
+        public int PercentComplete { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationKind.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationKind.cs
new file mode 100644
index 000000000000..65e6b74584ff
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationKind.cs
@@ -0,0 +1,54 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The EvaluationKind. </summary>
+    public readonly partial struct EvaluationKind : IEquatable<EvaluationKind>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationKind"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public EvaluationKind(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string PercentageValue = "percentage";
+        private const string ManualValue = "manual";
+
+        /// <summary>
+        /// Split the data into training and test sets according to user-defined
+        /// percentages.
+        /// </summary>
+        public static EvaluationKind Percentage { get; } = new EvaluationKind(PercentageValue);
+        /// <summary> Split the data according to the chosen dataset for every example in the data. </summary>
+        public static EvaluationKind Manual { get; } = new EvaluationKind(ManualValue);
+        /// <summary> Determines if two <see cref="EvaluationKind"/> values are the same. </summary>
+        public static bool operator ==(EvaluationKind left, EvaluationKind right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="EvaluationKind"/> values are not the same. </summary>
+        public static bool operator !=(EvaluationKind left, EvaluationKind right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="EvaluationKind"/>. </summary>
+        public static implicit operator EvaluationKind(string value) => new EvaluationKind(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is EvaluationKind other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(EvaluationKind other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..669067cb8aee
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationSummary.Serialization.cs
@@ -0,0 +1,132 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    [PersistableModelProxy(typeof(UnknownEvaluationSummary))]
+    public partial class EvaluationSummary : IUtf8JsonSerializable, IJsonModel<EvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<EvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<EvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("evaluationOptions"u8);
+            writer.WriteObjectValue(EvaluationOptions, options);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        EvaluationSummary IJsonModel<EvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static EvaluationSummary DeserializeEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            if (element.TryGetProperty("projectKind", out JsonElement discriminator))
+            {
+                switch (discriminator.GetString())
+                {
+                    case "CustomEntityRecognition": return CustomEntityRecognitionEvaluationSummary.DeserializeCustomEntityRecognitionEvaluationSummary(element, options);
+                    case "CustomHealthcare": return CustomHealthcareEvaluationSummary.DeserializeCustomHealthcareEvaluationSummary(element, options);
+                    case "CustomMultiLabelClassification": return CustomMultiLabelClassificationEvaluationSummary.DeserializeCustomMultiLabelClassificationEvaluationSummary(element, options);
+                    case "CustomSingleLabelClassification": return CustomSingleLabelClassificationEvaluationSummary.DeserializeCustomSingleLabelClassificationEvaluationSummary(element, options);
+                    case "CustomTextSentiment": return CustomTextSentimentEvaluationSummary.DeserializeCustomTextSentimentEvaluationSummary(element, options);
+                }
+            }
+            return UnknownEvaluationSummary.DeserializeUnknownEvaluationSummary(element, options);
+        }
+
+        BinaryData IPersistableModel<EvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(EvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        EvaluationSummary IPersistableModel<EvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(EvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<EvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static EvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationSummary.cs
new file mode 100644
index 000000000000..90a126c70695
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/EvaluationSummary.cs
@@ -0,0 +1,83 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents the summary for an evaluation operation.
+    /// Please note <see cref="EvaluationSummary"/> is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes.
+    /// The available derived classes include <see cref="CustomEntityRecognitionEvaluationSummary"/>, <see cref="CustomHealthcareEvaluationSummary"/>, <see cref="CustomMultiLabelClassificationEvaluationSummary"/>, <see cref="CustomSingleLabelClassificationEvaluationSummary"/> and <see cref="CustomTextSentimentEvaluationSummary"/>.
+    /// </summary>
+    public abstract partial class EvaluationSummary
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private protected IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationSummary"/>. </summary>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="evaluationOptions"/> is null. </exception>
+        protected EvaluationSummary(EvaluationConfig evaluationOptions)
+        {
+            Argument.AssertNotNull(evaluationOptions, nameof(evaluationOptions));
+
+            EvaluationOptions = evaluationOptions;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationSummary"/>. </summary>
+        /// <param name="projectKind"> Represents the project type that the evaluation ran on. </param>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal EvaluationSummary(ProjectKind projectKind, EvaluationConfig evaluationOptions, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ProjectKind = projectKind;
+            EvaluationOptions = evaluationOptions;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationSummary"/> for deserialization. </summary>
+        internal EvaluationSummary()
+        {
+        }
+
+        /// <summary> Represents the project type that the evaluation ran on. </summary>
+        internal ProjectKind ProjectKind { get; set; }
+        /// <summary> Represents the options used running the evaluation. </summary>
+        public EvaluationConfig EvaluationOptions { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedClass.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedClass.Serialization.cs
new file mode 100644
index 000000000000..6d9a80410a8c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedClass.Serialization.cs
@@ -0,0 +1,138 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedClass : IUtf8JsonSerializable, IJsonModel<ExportedClass>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedClass>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedClass>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedClass>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedClass)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsDefined(Category))
+            {
+                writer.WritePropertyName("category"u8);
+                writer.WriteStringValue(Category);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedClass IJsonModel<ExportedClass>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedClass>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedClass)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedClass(document.RootElement, options);
+        }
+
+        internal static ExportedClass DeserializeExportedClass(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string category = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("category"u8))
+                {
+                    category = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedClass(category, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedClass>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedClass>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedClass)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedClass IPersistableModel<ExportedClass>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedClass>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedClass(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedClass)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedClass>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedClass FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedClass(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedClass.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedClass.cs
new file mode 100644
index 000000000000..b5ac5dcd7c98
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedClass.cs
@@ -0,0 +1,65 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents a class of an exported project. </summary>
+    public partial class ExportedClass
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedClass"/>. </summary>
+        public ExportedClass()
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedClass"/>. </summary>
+        /// <param name="category"> The class category. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedClass(string category, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Category = category;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> The class category. </summary>
+        public string Category { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCompositeEntity.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCompositeEntity.Serialization.cs
new file mode 100644
index 000000000000..f793bb1bf4ed
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCompositeEntity.Serialization.cs
@@ -0,0 +1,193 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedCompositeEntity : IUtf8JsonSerializable, IJsonModel<ExportedCompositeEntity>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedCompositeEntity>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedCompositeEntity>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCompositeEntity>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCompositeEntity)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsDefined(CompositionSetting))
+            {
+                writer.WritePropertyName("compositionSetting"u8);
+                writer.WriteStringValue(CompositionSetting.Value.ToString());
+            }
+            if (Optional.IsDefined(List))
+            {
+                writer.WritePropertyName("list"u8);
+                writer.WriteObjectValue(List, options);
+            }
+            if (Optional.IsCollectionDefined(Prebuilts))
+            {
+                writer.WritePropertyName("prebuilts"u8);
+                writer.WriteStartArray();
+                foreach (var item in Prebuilts)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsDefined(Category))
+            {
+                writer.WritePropertyName("category"u8);
+                writer.WriteStringValue(Category);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedCompositeEntity IJsonModel<ExportedCompositeEntity>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCompositeEntity>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCompositeEntity)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedCompositeEntity(document.RootElement, options);
+        }
+
+        internal static ExportedCompositeEntity DeserializeExportedCompositeEntity(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            CompositionSetting? compositionSetting = default;
+            ExportedEntityList list = default;
+            IList<ExportedPrebuiltEntity> prebuilts = default;
+            string category = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("compositionSetting"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    compositionSetting = new CompositionSetting(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("list"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    list = ExportedEntityList.DeserializeExportedEntityList(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("prebuilts"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedPrebuiltEntity> array = new List<ExportedPrebuiltEntity>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedPrebuiltEntity.DeserializeExportedPrebuiltEntity(item, options));
+                    }
+                    prebuilts = array;
+                    continue;
+                }
+                if (property.NameEquals("category"u8))
+                {
+                    category = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedCompositeEntity(compositionSetting, list, prebuilts ?? new ChangeTrackingList<ExportedPrebuiltEntity>(), category, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedCompositeEntity>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCompositeEntity>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCompositeEntity)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedCompositeEntity IPersistableModel<ExportedCompositeEntity>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCompositeEntity>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedCompositeEntity(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCompositeEntity)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedCompositeEntity>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedCompositeEntity FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedCompositeEntity(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCompositeEntity.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCompositeEntity.cs
new file mode 100644
index 000000000000..9548fb9f666a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCompositeEntity.cs
@@ -0,0 +1,78 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents an entity in an exported project with composite entities enabled. </summary>
+    public partial class ExportedCompositeEntity
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCompositeEntity"/>. </summary>
+        public ExportedCompositeEntity()
+        {
+            Prebuilts = new ChangeTrackingList<ExportedPrebuiltEntity>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCompositeEntity"/>. </summary>
+        /// <param name="compositionSetting"> The behavior to follow when the entity's components overlap with each other. </param>
+        /// <param name="list"> The list component of the entity. </param>
+        /// <param name="prebuilts"> The prebuilt entities components. </param>
+        /// <param name="category"> The entity category. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedCompositeEntity(CompositionSetting? compositionSetting, ExportedEntityList list, IList<ExportedPrebuiltEntity> prebuilts, string category, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CompositionSetting = compositionSetting;
+            List = list;
+            Prebuilts = prebuilts;
+            Category = category;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> The behavior to follow when the entity's components overlap with each other. </summary>
+        public CompositionSetting? CompositionSetting { get; set; }
+        /// <summary> The list component of the entity. </summary>
+        public ExportedEntityList List { get; set; }
+        /// <summary> The prebuilt entities components. </summary>
+        public IList<ExportedPrebuiltEntity> Prebuilts { get; }
+        /// <summary> The entity category. </summary>
+        public string Category { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomAbstractiveSummarizationDocument.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomAbstractiveSummarizationDocument.Serialization.cs
new file mode 100644
index 000000000000..82f5a6112ab0
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomAbstractiveSummarizationDocument.Serialization.cs
@@ -0,0 +1,168 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedCustomAbstractiveSummarizationDocument : IUtf8JsonSerializable, IJsonModel<ExportedCustomAbstractiveSummarizationDocument>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedCustomAbstractiveSummarizationDocument>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedCustomAbstractiveSummarizationDocument>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomAbstractiveSummarizationDocument>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomAbstractiveSummarizationDocument)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("summaryLocation"u8);
+            writer.WriteStringValue(SummaryLocation);
+            if (Optional.IsDefined(Location))
+            {
+                writer.WritePropertyName("location"u8);
+                writer.WriteStringValue(Location);
+            }
+            if (Optional.IsDefined(Language))
+            {
+                writer.WritePropertyName("language"u8);
+                writer.WriteStringValue(Language);
+            }
+            if (Optional.IsDefined(Dataset))
+            {
+                writer.WritePropertyName("dataset"u8);
+                writer.WriteStringValue(Dataset);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedCustomAbstractiveSummarizationDocument IJsonModel<ExportedCustomAbstractiveSummarizationDocument>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomAbstractiveSummarizationDocument>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomAbstractiveSummarizationDocument)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedCustomAbstractiveSummarizationDocument(document.RootElement, options);
+        }
+
+        internal static ExportedCustomAbstractiveSummarizationDocument DeserializeExportedCustomAbstractiveSummarizationDocument(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string summaryLocation = default;
+            string location = default;
+            string language = default;
+            string dataset = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("summaryLocation"u8))
+                {
+                    summaryLocation = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("location"u8))
+                {
+                    location = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("dataset"u8))
+                {
+                    dataset = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedCustomAbstractiveSummarizationDocument(summaryLocation, location, language, dataset, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedCustomAbstractiveSummarizationDocument>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomAbstractiveSummarizationDocument>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomAbstractiveSummarizationDocument)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedCustomAbstractiveSummarizationDocument IPersistableModel<ExportedCustomAbstractiveSummarizationDocument>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomAbstractiveSummarizationDocument>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedCustomAbstractiveSummarizationDocument(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomAbstractiveSummarizationDocument)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedCustomAbstractiveSummarizationDocument>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedCustomAbstractiveSummarizationDocument FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedCustomAbstractiveSummarizationDocument(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomAbstractiveSummarizationDocument.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomAbstractiveSummarizationDocument.cs
new file mode 100644
index 000000000000..2f7bd5c19aeb
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomAbstractiveSummarizationDocument.cs
@@ -0,0 +1,104 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents an exported document for a custom abstractive summarization project. </summary>
+    public partial class ExportedCustomAbstractiveSummarizationDocument
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomAbstractiveSummarizationDocument"/>. </summary>
+        /// <param name="summaryLocation">
+        /// Represents the summary file location in the blob store container associated
+        /// with the project.
+        /// </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="summaryLocation"/> is null. </exception>
+        public ExportedCustomAbstractiveSummarizationDocument(string summaryLocation)
+        {
+            Argument.AssertNotNull(summaryLocation, nameof(summaryLocation));
+
+            SummaryLocation = summaryLocation;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomAbstractiveSummarizationDocument"/>. </summary>
+        /// <param name="summaryLocation">
+        /// Represents the summary file location in the blob store container associated
+        /// with the project.
+        /// </param>
+        /// <param name="location"> The location of the document in the storage. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="dataset"> The dataset for this document. Allowed values are 'Train' and 'Test'. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedCustomAbstractiveSummarizationDocument(string summaryLocation, string location, string language, string dataset, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            SummaryLocation = summaryLocation;
+            Location = location;
+            Language = language;
+            Dataset = dataset;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomAbstractiveSummarizationDocument"/> for deserialization. </summary>
+        internal ExportedCustomAbstractiveSummarizationDocument()
+        {
+        }
+
+        /// <summary>
+        /// Represents the summary file location in the blob store container associated
+        /// with the project.
+        /// </summary>
+        public string SummaryLocation { get; }
+        /// <summary> The location of the document in the storage. </summary>
+        public string Location { get; set; }
+        /// <summary>
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </summary>
+        public string Language { get; set; }
+        /// <summary> The dataset for this document. Allowed values are 'Train' and 'Test'. </summary>
+        public string Dataset { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomAbstractiveSummarizationProjectAssets.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomAbstractiveSummarizationProjectAssets.Serialization.cs
new file mode 100644
index 000000000000..0dd8e2b0f7a7
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomAbstractiveSummarizationProjectAssets.Serialization.cs
@@ -0,0 +1,160 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedCustomAbstractiveSummarizationProjectAssets : IUtf8JsonSerializable, IJsonModel<ExportedCustomAbstractiveSummarizationProjectAssets>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedCustomAbstractiveSummarizationProjectAssets>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedCustomAbstractiveSummarizationProjectAssets>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomAbstractiveSummarizationProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomAbstractiveSummarizationProjectAssets)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(Documents))
+            {
+                writer.WritePropertyName("documents"u8);
+                writer.WriteStartArray();
+                foreach (var item in Documents)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedCustomAbstractiveSummarizationProjectAssets IJsonModel<ExportedCustomAbstractiveSummarizationProjectAssets>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomAbstractiveSummarizationProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomAbstractiveSummarizationProjectAssets)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedCustomAbstractiveSummarizationProjectAssets(document.RootElement, options);
+        }
+
+        internal static ExportedCustomAbstractiveSummarizationProjectAssets DeserializeExportedCustomAbstractiveSummarizationProjectAssets(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<ExportedCustomAbstractiveSummarizationDocument> documents = default;
+            ProjectKind projectKind = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("documents"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedCustomAbstractiveSummarizationDocument> array = new List<ExportedCustomAbstractiveSummarizationDocument>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedCustomAbstractiveSummarizationDocument.DeserializeExportedCustomAbstractiveSummarizationDocument(item, options));
+                    }
+                    documents = array;
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedCustomAbstractiveSummarizationProjectAssets(projectKind, serializedAdditionalRawData, documents ?? new ChangeTrackingList<ExportedCustomAbstractiveSummarizationDocument>());
+        }
+
+        BinaryData IPersistableModel<ExportedCustomAbstractiveSummarizationProjectAssets>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomAbstractiveSummarizationProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomAbstractiveSummarizationProjectAssets)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedCustomAbstractiveSummarizationProjectAssets IPersistableModel<ExportedCustomAbstractiveSummarizationProjectAssets>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomAbstractiveSummarizationProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedCustomAbstractiveSummarizationProjectAssets(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomAbstractiveSummarizationProjectAssets)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedCustomAbstractiveSummarizationProjectAssets>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new ExportedCustomAbstractiveSummarizationProjectAssets FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedCustomAbstractiveSummarizationProjectAssets(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomAbstractiveSummarizationProjectAssets.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomAbstractiveSummarizationProjectAssets.cs
new file mode 100644
index 000000000000..94db4391875b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomAbstractiveSummarizationProjectAssets.cs
@@ -0,0 +1,35 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the exported assets for an abstractive summarization project. </summary>
+    public partial class ExportedCustomAbstractiveSummarizationProjectAssets : ExportedProjectAssets
+    {
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomAbstractiveSummarizationProjectAssets"/>. </summary>
+        public ExportedCustomAbstractiveSummarizationProjectAssets()
+        {
+            ProjectKind = ProjectKind.CustomAbstractiveSummarization;
+            Documents = new ChangeTrackingList<ExportedCustomAbstractiveSummarizationDocument>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomAbstractiveSummarizationProjectAssets"/>. </summary>
+        /// <param name="projectKind"></param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="documents"> The list of documents belonging to this project. </param>
+        internal ExportedCustomAbstractiveSummarizationProjectAssets(ProjectKind projectKind, IDictionary<string, BinaryData> serializedAdditionalRawData, IList<ExportedCustomAbstractiveSummarizationDocument> documents) : base(projectKind, serializedAdditionalRawData)
+        {
+            Documents = documents;
+        }
+
+        /// <summary> The list of documents belonging to this project. </summary>
+        public IList<ExportedCustomAbstractiveSummarizationDocument> Documents { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomEntityRecognitionDocument.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomEntityRecognitionDocument.Serialization.cs
new file mode 100644
index 000000000000..97738e17333f
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomEntityRecognitionDocument.Serialization.cs
@@ -0,0 +1,185 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedCustomEntityRecognitionDocument : IUtf8JsonSerializable, IJsonModel<ExportedCustomEntityRecognitionDocument>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedCustomEntityRecognitionDocument>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedCustomEntityRecognitionDocument>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomEntityRecognitionDocument>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomEntityRecognitionDocument)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(Entities))
+            {
+                writer.WritePropertyName("entities"u8);
+                writer.WriteStartArray();
+                foreach (var item in Entities)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsDefined(Location))
+            {
+                writer.WritePropertyName("location"u8);
+                writer.WriteStringValue(Location);
+            }
+            if (Optional.IsDefined(Language))
+            {
+                writer.WritePropertyName("language"u8);
+                writer.WriteStringValue(Language);
+            }
+            if (Optional.IsDefined(Dataset))
+            {
+                writer.WritePropertyName("dataset"u8);
+                writer.WriteStringValue(Dataset);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedCustomEntityRecognitionDocument IJsonModel<ExportedCustomEntityRecognitionDocument>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomEntityRecognitionDocument>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomEntityRecognitionDocument)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedCustomEntityRecognitionDocument(document.RootElement, options);
+        }
+
+        internal static ExportedCustomEntityRecognitionDocument DeserializeExportedCustomEntityRecognitionDocument(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<ExportedDocumentEntityRegion> entities = default;
+            string location = default;
+            string language = default;
+            string dataset = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("entities"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedDocumentEntityRegion> array = new List<ExportedDocumentEntityRegion>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedDocumentEntityRegion.DeserializeExportedDocumentEntityRegion(item, options));
+                    }
+                    entities = array;
+                    continue;
+                }
+                if (property.NameEquals("location"u8))
+                {
+                    location = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("dataset"u8))
+                {
+                    dataset = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedCustomEntityRecognitionDocument(entities ?? new ChangeTrackingList<ExportedDocumentEntityRegion>(), location, language, dataset, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedCustomEntityRecognitionDocument>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomEntityRecognitionDocument>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomEntityRecognitionDocument)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedCustomEntityRecognitionDocument IPersistableModel<ExportedCustomEntityRecognitionDocument>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomEntityRecognitionDocument>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedCustomEntityRecognitionDocument(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomEntityRecognitionDocument)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedCustomEntityRecognitionDocument>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedCustomEntityRecognitionDocument FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedCustomEntityRecognitionDocument(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomEntityRecognitionDocument.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomEntityRecognitionDocument.cs
new file mode 100644
index 000000000000..0b07d3827f89
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomEntityRecognitionDocument.cs
@@ -0,0 +1,86 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents an exported document for a custom entity recognition project. </summary>
+    public partial class ExportedCustomEntityRecognitionDocument
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomEntityRecognitionDocument"/>. </summary>
+        public ExportedCustomEntityRecognitionDocument()
+        {
+            Entities = new ChangeTrackingList<ExportedDocumentEntityRegion>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomEntityRecognitionDocument"/>. </summary>
+        /// <param name="entities"> The list of entity labels belonging to the document. </param>
+        /// <param name="location"> The location of the document in the storage. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="dataset"> The dataset for this document. Allowed values are 'Train' and 'Test'. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedCustomEntityRecognitionDocument(IList<ExportedDocumentEntityRegion> entities, string location, string language, string dataset, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Entities = entities;
+            Location = location;
+            Language = language;
+            Dataset = dataset;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> The list of entity labels belonging to the document. </summary>
+        public IList<ExportedDocumentEntityRegion> Entities { get; }
+        /// <summary> The location of the document in the storage. </summary>
+        public string Location { get; set; }
+        /// <summary>
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </summary>
+        public string Language { get; set; }
+        /// <summary> The dataset for this document. Allowed values are 'Train' and 'Test'. </summary>
+        public string Dataset { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomEntityRecognitionProjectAssets.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomEntityRecognitionProjectAssets.Serialization.cs
new file mode 100644
index 000000000000..c9708fa50da4
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomEntityRecognitionProjectAssets.Serialization.cs
@@ -0,0 +1,185 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedCustomEntityRecognitionProjectAssets : IUtf8JsonSerializable, IJsonModel<ExportedCustomEntityRecognitionProjectAssets>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedCustomEntityRecognitionProjectAssets>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedCustomEntityRecognitionProjectAssets>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomEntityRecognitionProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomEntityRecognitionProjectAssets)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(Entities))
+            {
+                writer.WritePropertyName("entities"u8);
+                writer.WriteStartArray();
+                foreach (var item in Entities)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Documents))
+            {
+                writer.WritePropertyName("documents"u8);
+                writer.WriteStartArray();
+                foreach (var item in Documents)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedCustomEntityRecognitionProjectAssets IJsonModel<ExportedCustomEntityRecognitionProjectAssets>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomEntityRecognitionProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomEntityRecognitionProjectAssets)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedCustomEntityRecognitionProjectAssets(document.RootElement, options);
+        }
+
+        internal static ExportedCustomEntityRecognitionProjectAssets DeserializeExportedCustomEntityRecognitionProjectAssets(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<ExportedEntity> entities = default;
+            IList<ExportedCustomEntityRecognitionDocument> documents = default;
+            ProjectKind projectKind = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("entities"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedEntity> array = new List<ExportedEntity>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedEntity.DeserializeExportedEntity(item, options));
+                    }
+                    entities = array;
+                    continue;
+                }
+                if (property.NameEquals("documents"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedCustomEntityRecognitionDocument> array = new List<ExportedCustomEntityRecognitionDocument>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedCustomEntityRecognitionDocument.DeserializeExportedCustomEntityRecognitionDocument(item, options));
+                    }
+                    documents = array;
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedCustomEntityRecognitionProjectAssets(projectKind, serializedAdditionalRawData, entities ?? new ChangeTrackingList<ExportedEntity>(), documents ?? new ChangeTrackingList<ExportedCustomEntityRecognitionDocument>());
+        }
+
+        BinaryData IPersistableModel<ExportedCustomEntityRecognitionProjectAssets>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomEntityRecognitionProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomEntityRecognitionProjectAssets)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedCustomEntityRecognitionProjectAssets IPersistableModel<ExportedCustomEntityRecognitionProjectAssets>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomEntityRecognitionProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedCustomEntityRecognitionProjectAssets(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomEntityRecognitionProjectAssets)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedCustomEntityRecognitionProjectAssets>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new ExportedCustomEntityRecognitionProjectAssets FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedCustomEntityRecognitionProjectAssets(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomEntityRecognitionProjectAssets.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomEntityRecognitionProjectAssets.cs
new file mode 100644
index 000000000000..e374015144a6
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomEntityRecognitionProjectAssets.cs
@@ -0,0 +1,40 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the exported assets for a entity recognition project. </summary>
+    public partial class ExportedCustomEntityRecognitionProjectAssets : ExportedProjectAssets
+    {
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomEntityRecognitionProjectAssets"/>. </summary>
+        public ExportedCustomEntityRecognitionProjectAssets()
+        {
+            ProjectKind = ProjectKind.CustomEntityRecognition;
+            Entities = new ChangeTrackingList<ExportedEntity>();
+            Documents = new ChangeTrackingList<ExportedCustomEntityRecognitionDocument>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomEntityRecognitionProjectAssets"/>. </summary>
+        /// <param name="projectKind"></param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="entities"> The list of entities belonging to the project. </param>
+        /// <param name="documents"> The list of documents belonging to the project. </param>
+        internal ExportedCustomEntityRecognitionProjectAssets(ProjectKind projectKind, IDictionary<string, BinaryData> serializedAdditionalRawData, IList<ExportedEntity> entities, IList<ExportedCustomEntityRecognitionDocument> documents) : base(projectKind, serializedAdditionalRawData)
+        {
+            Entities = entities;
+            Documents = documents;
+        }
+
+        /// <summary> The list of entities belonging to the project. </summary>
+        public IList<ExportedEntity> Entities { get; }
+        /// <summary> The list of documents belonging to the project. </summary>
+        public IList<ExportedCustomEntityRecognitionDocument> Documents { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomHealthcareDocument.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomHealthcareDocument.Serialization.cs
new file mode 100644
index 000000000000..1518a417483a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomHealthcareDocument.Serialization.cs
@@ -0,0 +1,185 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedCustomHealthcareDocument : IUtf8JsonSerializable, IJsonModel<ExportedCustomHealthcareDocument>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedCustomHealthcareDocument>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedCustomHealthcareDocument>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomHealthcareDocument>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomHealthcareDocument)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(Entities))
+            {
+                writer.WritePropertyName("entities"u8);
+                writer.WriteStartArray();
+                foreach (var item in Entities)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsDefined(Location))
+            {
+                writer.WritePropertyName("location"u8);
+                writer.WriteStringValue(Location);
+            }
+            if (Optional.IsDefined(Language))
+            {
+                writer.WritePropertyName("language"u8);
+                writer.WriteStringValue(Language);
+            }
+            if (Optional.IsDefined(Dataset))
+            {
+                writer.WritePropertyName("dataset"u8);
+                writer.WriteStringValue(Dataset);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedCustomHealthcareDocument IJsonModel<ExportedCustomHealthcareDocument>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomHealthcareDocument>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomHealthcareDocument)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedCustomHealthcareDocument(document.RootElement, options);
+        }
+
+        internal static ExportedCustomHealthcareDocument DeserializeExportedCustomHealthcareDocument(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<ExportedDocumentEntityRegion> entities = default;
+            string location = default;
+            string language = default;
+            string dataset = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("entities"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedDocumentEntityRegion> array = new List<ExportedDocumentEntityRegion>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedDocumentEntityRegion.DeserializeExportedDocumentEntityRegion(item, options));
+                    }
+                    entities = array;
+                    continue;
+                }
+                if (property.NameEquals("location"u8))
+                {
+                    location = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("dataset"u8))
+                {
+                    dataset = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedCustomHealthcareDocument(entities ?? new ChangeTrackingList<ExportedDocumentEntityRegion>(), location, language, dataset, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedCustomHealthcareDocument>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomHealthcareDocument>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomHealthcareDocument)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedCustomHealthcareDocument IPersistableModel<ExportedCustomHealthcareDocument>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomHealthcareDocument>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedCustomHealthcareDocument(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomHealthcareDocument)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedCustomHealthcareDocument>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedCustomHealthcareDocument FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedCustomHealthcareDocument(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomHealthcareDocument.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomHealthcareDocument.cs
new file mode 100644
index 000000000000..0f6f029aca88
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomHealthcareDocument.cs
@@ -0,0 +1,86 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents an exported document for a CustomHealthcare project. </summary>
+    public partial class ExportedCustomHealthcareDocument
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomHealthcareDocument"/>. </summary>
+        public ExportedCustomHealthcareDocument()
+        {
+            Entities = new ChangeTrackingList<ExportedDocumentEntityRegion>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomHealthcareDocument"/>. </summary>
+        /// <param name="entities"> The list of entity labels belonging to the document. </param>
+        /// <param name="location"> The location of the document in the storage. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="dataset"> The dataset for this document. Allowed values are 'Train' and 'Test'. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedCustomHealthcareDocument(IList<ExportedDocumentEntityRegion> entities, string location, string language, string dataset, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Entities = entities;
+            Location = location;
+            Language = language;
+            Dataset = dataset;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> The list of entity labels belonging to the document. </summary>
+        public IList<ExportedDocumentEntityRegion> Entities { get; }
+        /// <summary> The location of the document in the storage. </summary>
+        public string Location { get; set; }
+        /// <summary>
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </summary>
+        public string Language { get; set; }
+        /// <summary> The dataset for this document. Allowed values are 'Train' and 'Test'. </summary>
+        public string Dataset { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomHealthcareProjectAssets.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomHealthcareProjectAssets.Serialization.cs
new file mode 100644
index 000000000000..faae9f08b885
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomHealthcareProjectAssets.Serialization.cs
@@ -0,0 +1,185 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedCustomHealthcareProjectAssets : IUtf8JsonSerializable, IJsonModel<ExportedCustomHealthcareProjectAssets>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedCustomHealthcareProjectAssets>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedCustomHealthcareProjectAssets>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomHealthcareProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomHealthcareProjectAssets)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(Entities))
+            {
+                writer.WritePropertyName("entities"u8);
+                writer.WriteStartArray();
+                foreach (var item in Entities)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Documents))
+            {
+                writer.WritePropertyName("documents"u8);
+                writer.WriteStartArray();
+                foreach (var item in Documents)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedCustomHealthcareProjectAssets IJsonModel<ExportedCustomHealthcareProjectAssets>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomHealthcareProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomHealthcareProjectAssets)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedCustomHealthcareProjectAssets(document.RootElement, options);
+        }
+
+        internal static ExportedCustomHealthcareProjectAssets DeserializeExportedCustomHealthcareProjectAssets(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<ExportedCompositeEntity> entities = default;
+            IList<ExportedCustomHealthcareDocument> documents = default;
+            ProjectKind projectKind = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("entities"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedCompositeEntity> array = new List<ExportedCompositeEntity>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedCompositeEntity.DeserializeExportedCompositeEntity(item, options));
+                    }
+                    entities = array;
+                    continue;
+                }
+                if (property.NameEquals("documents"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedCustomHealthcareDocument> array = new List<ExportedCustomHealthcareDocument>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedCustomHealthcareDocument.DeserializeExportedCustomHealthcareDocument(item, options));
+                    }
+                    documents = array;
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedCustomHealthcareProjectAssets(projectKind, serializedAdditionalRawData, entities ?? new ChangeTrackingList<ExportedCompositeEntity>(), documents ?? new ChangeTrackingList<ExportedCustomHealthcareDocument>());
+        }
+
+        BinaryData IPersistableModel<ExportedCustomHealthcareProjectAssets>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomHealthcareProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomHealthcareProjectAssets)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedCustomHealthcareProjectAssets IPersistableModel<ExportedCustomHealthcareProjectAssets>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomHealthcareProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedCustomHealthcareProjectAssets(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomHealthcareProjectAssets)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedCustomHealthcareProjectAssets>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new ExportedCustomHealthcareProjectAssets FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedCustomHealthcareProjectAssets(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomHealthcareProjectAssets.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomHealthcareProjectAssets.cs
new file mode 100644
index 000000000000..558a372cf49d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomHealthcareProjectAssets.cs
@@ -0,0 +1,40 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the exported assets for a CustomHealthcare project. </summary>
+    public partial class ExportedCustomHealthcareProjectAssets : ExportedProjectAssets
+    {
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomHealthcareProjectAssets"/>. </summary>
+        public ExportedCustomHealthcareProjectAssets()
+        {
+            ProjectKind = ProjectKind.CustomHealthcare;
+            Entities = new ChangeTrackingList<ExportedCompositeEntity>();
+            Documents = new ChangeTrackingList<ExportedCustomHealthcareDocument>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomHealthcareProjectAssets"/>. </summary>
+        /// <param name="projectKind"></param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="entities"> The list of entities belonging to the project. </param>
+        /// <param name="documents"> The list of documents belonging to the project. </param>
+        internal ExportedCustomHealthcareProjectAssets(ProjectKind projectKind, IDictionary<string, BinaryData> serializedAdditionalRawData, IList<ExportedCompositeEntity> entities, IList<ExportedCustomHealthcareDocument> documents) : base(projectKind, serializedAdditionalRawData)
+        {
+            Entities = entities;
+            Documents = documents;
+        }
+
+        /// <summary> The list of entities belonging to the project. </summary>
+        public IList<ExportedCompositeEntity> Entities { get; }
+        /// <summary> The list of documents belonging to the project. </summary>
+        public IList<ExportedCustomHealthcareDocument> Documents { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomMultiLabelClassificationDocument.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomMultiLabelClassificationDocument.Serialization.cs
new file mode 100644
index 000000000000..c98f3a905701
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomMultiLabelClassificationDocument.Serialization.cs
@@ -0,0 +1,185 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedCustomMultiLabelClassificationDocument : IUtf8JsonSerializable, IJsonModel<ExportedCustomMultiLabelClassificationDocument>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedCustomMultiLabelClassificationDocument>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedCustomMultiLabelClassificationDocument>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomMultiLabelClassificationDocument>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomMultiLabelClassificationDocument)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(Classes))
+            {
+                writer.WritePropertyName("classes"u8);
+                writer.WriteStartArray();
+                foreach (var item in Classes)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsDefined(Location))
+            {
+                writer.WritePropertyName("location"u8);
+                writer.WriteStringValue(Location);
+            }
+            if (Optional.IsDefined(Language))
+            {
+                writer.WritePropertyName("language"u8);
+                writer.WriteStringValue(Language);
+            }
+            if (Optional.IsDefined(Dataset))
+            {
+                writer.WritePropertyName("dataset"u8);
+                writer.WriteStringValue(Dataset);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedCustomMultiLabelClassificationDocument IJsonModel<ExportedCustomMultiLabelClassificationDocument>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomMultiLabelClassificationDocument>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomMultiLabelClassificationDocument)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedCustomMultiLabelClassificationDocument(document.RootElement, options);
+        }
+
+        internal static ExportedCustomMultiLabelClassificationDocument DeserializeExportedCustomMultiLabelClassificationDocument(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<ExportedDocumentClass> classes = default;
+            string location = default;
+            string language = default;
+            string dataset = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("classes"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedDocumentClass> array = new List<ExportedDocumentClass>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedDocumentClass.DeserializeExportedDocumentClass(item, options));
+                    }
+                    classes = array;
+                    continue;
+                }
+                if (property.NameEquals("location"u8))
+                {
+                    location = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("dataset"u8))
+                {
+                    dataset = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedCustomMultiLabelClassificationDocument(classes ?? new ChangeTrackingList<ExportedDocumentClass>(), location, language, dataset, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedCustomMultiLabelClassificationDocument>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomMultiLabelClassificationDocument>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomMultiLabelClassificationDocument)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedCustomMultiLabelClassificationDocument IPersistableModel<ExportedCustomMultiLabelClassificationDocument>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomMultiLabelClassificationDocument>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedCustomMultiLabelClassificationDocument(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomMultiLabelClassificationDocument)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedCustomMultiLabelClassificationDocument>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedCustomMultiLabelClassificationDocument FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedCustomMultiLabelClassificationDocument(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomMultiLabelClassificationDocument.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomMultiLabelClassificationDocument.cs
new file mode 100644
index 000000000000..91697ccd36d3
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomMultiLabelClassificationDocument.cs
@@ -0,0 +1,86 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents an exported document of a custom multi-label classification project. </summary>
+    public partial class ExportedCustomMultiLabelClassificationDocument
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomMultiLabelClassificationDocument"/>. </summary>
+        public ExportedCustomMultiLabelClassificationDocument()
+        {
+            Classes = new ChangeTrackingList<ExportedDocumentClass>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomMultiLabelClassificationDocument"/>. </summary>
+        /// <param name="classes"> The document classes. </param>
+        /// <param name="location"> The location of the document in the storage. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="dataset"> The dataset for this document. Allowed values are 'Train' and 'Test'. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedCustomMultiLabelClassificationDocument(IList<ExportedDocumentClass> classes, string location, string language, string dataset, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Classes = classes;
+            Location = location;
+            Language = language;
+            Dataset = dataset;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> The document classes. </summary>
+        public IList<ExportedDocumentClass> Classes { get; }
+        /// <summary> The location of the document in the storage. </summary>
+        public string Location { get; set; }
+        /// <summary>
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </summary>
+        public string Language { get; set; }
+        /// <summary> The dataset for this document. Allowed values are 'Train' and 'Test'. </summary>
+        public string Dataset { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomMultiLabelClassificationProjectAssets.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomMultiLabelClassificationProjectAssets.Serialization.cs
new file mode 100644
index 000000000000..aeeabf1b1d4f
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomMultiLabelClassificationProjectAssets.Serialization.cs
@@ -0,0 +1,185 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedCustomMultiLabelClassificationProjectAssets : IUtf8JsonSerializable, IJsonModel<ExportedCustomMultiLabelClassificationProjectAssets>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedCustomMultiLabelClassificationProjectAssets>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedCustomMultiLabelClassificationProjectAssets>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomMultiLabelClassificationProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomMultiLabelClassificationProjectAssets)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(Classes))
+            {
+                writer.WritePropertyName("classes"u8);
+                writer.WriteStartArray();
+                foreach (var item in Classes)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Documents))
+            {
+                writer.WritePropertyName("documents"u8);
+                writer.WriteStartArray();
+                foreach (var item in Documents)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedCustomMultiLabelClassificationProjectAssets IJsonModel<ExportedCustomMultiLabelClassificationProjectAssets>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomMultiLabelClassificationProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomMultiLabelClassificationProjectAssets)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedCustomMultiLabelClassificationProjectAssets(document.RootElement, options);
+        }
+
+        internal static ExportedCustomMultiLabelClassificationProjectAssets DeserializeExportedCustomMultiLabelClassificationProjectAssets(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<ExportedClass> classes = default;
+            IList<ExportedCustomMultiLabelClassificationDocument> documents = default;
+            ProjectKind projectKind = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("classes"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedClass> array = new List<ExportedClass>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedClass.DeserializeExportedClass(item, options));
+                    }
+                    classes = array;
+                    continue;
+                }
+                if (property.NameEquals("documents"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedCustomMultiLabelClassificationDocument> array = new List<ExportedCustomMultiLabelClassificationDocument>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedCustomMultiLabelClassificationDocument.DeserializeExportedCustomMultiLabelClassificationDocument(item, options));
+                    }
+                    documents = array;
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedCustomMultiLabelClassificationProjectAssets(projectKind, serializedAdditionalRawData, classes ?? new ChangeTrackingList<ExportedClass>(), documents ?? new ChangeTrackingList<ExportedCustomMultiLabelClassificationDocument>());
+        }
+
+        BinaryData IPersistableModel<ExportedCustomMultiLabelClassificationProjectAssets>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomMultiLabelClassificationProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomMultiLabelClassificationProjectAssets)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedCustomMultiLabelClassificationProjectAssets IPersistableModel<ExportedCustomMultiLabelClassificationProjectAssets>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomMultiLabelClassificationProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedCustomMultiLabelClassificationProjectAssets(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomMultiLabelClassificationProjectAssets)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedCustomMultiLabelClassificationProjectAssets>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new ExportedCustomMultiLabelClassificationProjectAssets FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedCustomMultiLabelClassificationProjectAssets(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomMultiLabelClassificationProjectAssets.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomMultiLabelClassificationProjectAssets.cs
new file mode 100644
index 000000000000..4bf1541e5841
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomMultiLabelClassificationProjectAssets.cs
@@ -0,0 +1,40 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the exported assets for a custom multi-label classification project. </summary>
+    public partial class ExportedCustomMultiLabelClassificationProjectAssets : ExportedProjectAssets
+    {
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomMultiLabelClassificationProjectAssets"/>. </summary>
+        public ExportedCustomMultiLabelClassificationProjectAssets()
+        {
+            ProjectKind = ProjectKind.CustomMultiLabelClassification;
+            Classes = new ChangeTrackingList<ExportedClass>();
+            Documents = new ChangeTrackingList<ExportedCustomMultiLabelClassificationDocument>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomMultiLabelClassificationProjectAssets"/>. </summary>
+        /// <param name="projectKind"></param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="classes"> The list of classes in the project. </param>
+        /// <param name="documents"> The list of documents in the project. </param>
+        internal ExportedCustomMultiLabelClassificationProjectAssets(ProjectKind projectKind, IDictionary<string, BinaryData> serializedAdditionalRawData, IList<ExportedClass> classes, IList<ExportedCustomMultiLabelClassificationDocument> documents) : base(projectKind, serializedAdditionalRawData)
+        {
+            Classes = classes;
+            Documents = documents;
+        }
+
+        /// <summary> The list of classes in the project. </summary>
+        public IList<ExportedClass> Classes { get; }
+        /// <summary> The list of documents in the project. </summary>
+        public IList<ExportedCustomMultiLabelClassificationDocument> Documents { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomSingleLabelClassificationDocument.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomSingleLabelClassificationDocument.Serialization.cs
new file mode 100644
index 000000000000..6f872150618d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomSingleLabelClassificationDocument.Serialization.cs
@@ -0,0 +1,175 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedCustomSingleLabelClassificationDocument : IUtf8JsonSerializable, IJsonModel<ExportedCustomSingleLabelClassificationDocument>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedCustomSingleLabelClassificationDocument>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedCustomSingleLabelClassificationDocument>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomSingleLabelClassificationDocument>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomSingleLabelClassificationDocument)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsDefined(Class))
+            {
+                writer.WritePropertyName("class"u8);
+                writer.WriteObjectValue(Class, options);
+            }
+            if (Optional.IsDefined(Location))
+            {
+                writer.WritePropertyName("location"u8);
+                writer.WriteStringValue(Location);
+            }
+            if (Optional.IsDefined(Language))
+            {
+                writer.WritePropertyName("language"u8);
+                writer.WriteStringValue(Language);
+            }
+            if (Optional.IsDefined(Dataset))
+            {
+                writer.WritePropertyName("dataset"u8);
+                writer.WriteStringValue(Dataset);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedCustomSingleLabelClassificationDocument IJsonModel<ExportedCustomSingleLabelClassificationDocument>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomSingleLabelClassificationDocument>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomSingleLabelClassificationDocument)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedCustomSingleLabelClassificationDocument(document.RootElement, options);
+        }
+
+        internal static ExportedCustomSingleLabelClassificationDocument DeserializeExportedCustomSingleLabelClassificationDocument(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ExportedDocumentClass @class = default;
+            string location = default;
+            string language = default;
+            string dataset = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("class"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    @class = ExportedDocumentClass.DeserializeExportedDocumentClass(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("location"u8))
+                {
+                    location = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("dataset"u8))
+                {
+                    dataset = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedCustomSingleLabelClassificationDocument(@class, location, language, dataset, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedCustomSingleLabelClassificationDocument>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomSingleLabelClassificationDocument>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomSingleLabelClassificationDocument)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedCustomSingleLabelClassificationDocument IPersistableModel<ExportedCustomSingleLabelClassificationDocument>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomSingleLabelClassificationDocument>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedCustomSingleLabelClassificationDocument(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomSingleLabelClassificationDocument)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedCustomSingleLabelClassificationDocument>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedCustomSingleLabelClassificationDocument FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedCustomSingleLabelClassificationDocument(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomSingleLabelClassificationDocument.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomSingleLabelClassificationDocument.cs
new file mode 100644
index 000000000000..2839a18a2bc3
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomSingleLabelClassificationDocument.cs
@@ -0,0 +1,88 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents an exported document for a custom single-label classification
+    /// project.
+    /// </summary>
+    public partial class ExportedCustomSingleLabelClassificationDocument
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomSingleLabelClassificationDocument"/>. </summary>
+        public ExportedCustomSingleLabelClassificationDocument()
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomSingleLabelClassificationDocument"/>. </summary>
+        /// <param name="class"> The class of the documents. </param>
+        /// <param name="location"> The location of the document in the storage. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="dataset"> The dataset for this document. Allowed values are 'Train' and 'Test'. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedCustomSingleLabelClassificationDocument(ExportedDocumentClass @class, string location, string language, string dataset, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Class = @class;
+            Location = location;
+            Language = language;
+            Dataset = dataset;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> The class of the documents. </summary>
+        public ExportedDocumentClass Class { get; set; }
+        /// <summary> The location of the document in the storage. </summary>
+        public string Location { get; set; }
+        /// <summary>
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </summary>
+        public string Language { get; set; }
+        /// <summary> The dataset for this document. Allowed values are 'Train' and 'Test'. </summary>
+        public string Dataset { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomSingleLabelClassificationProjectAssets.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomSingleLabelClassificationProjectAssets.Serialization.cs
new file mode 100644
index 000000000000..16e19bfc5dbf
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomSingleLabelClassificationProjectAssets.Serialization.cs
@@ -0,0 +1,185 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedCustomSingleLabelClassificationProjectAssets : IUtf8JsonSerializable, IJsonModel<ExportedCustomSingleLabelClassificationProjectAssets>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedCustomSingleLabelClassificationProjectAssets>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedCustomSingleLabelClassificationProjectAssets>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomSingleLabelClassificationProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomSingleLabelClassificationProjectAssets)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(Classes))
+            {
+                writer.WritePropertyName("classes"u8);
+                writer.WriteStartArray();
+                foreach (var item in Classes)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Documents))
+            {
+                writer.WritePropertyName("documents"u8);
+                writer.WriteStartArray();
+                foreach (var item in Documents)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedCustomSingleLabelClassificationProjectAssets IJsonModel<ExportedCustomSingleLabelClassificationProjectAssets>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomSingleLabelClassificationProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomSingleLabelClassificationProjectAssets)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedCustomSingleLabelClassificationProjectAssets(document.RootElement, options);
+        }
+
+        internal static ExportedCustomSingleLabelClassificationProjectAssets DeserializeExportedCustomSingleLabelClassificationProjectAssets(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<ExportedClass> classes = default;
+            IList<ExportedCustomSingleLabelClassificationDocument> documents = default;
+            ProjectKind projectKind = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("classes"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedClass> array = new List<ExportedClass>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedClass.DeserializeExportedClass(item, options));
+                    }
+                    classes = array;
+                    continue;
+                }
+                if (property.NameEquals("documents"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedCustomSingleLabelClassificationDocument> array = new List<ExportedCustomSingleLabelClassificationDocument>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedCustomSingleLabelClassificationDocument.DeserializeExportedCustomSingleLabelClassificationDocument(item, options));
+                    }
+                    documents = array;
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedCustomSingleLabelClassificationProjectAssets(projectKind, serializedAdditionalRawData, classes ?? new ChangeTrackingList<ExportedClass>(), documents ?? new ChangeTrackingList<ExportedCustomSingleLabelClassificationDocument>());
+        }
+
+        BinaryData IPersistableModel<ExportedCustomSingleLabelClassificationProjectAssets>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomSingleLabelClassificationProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomSingleLabelClassificationProjectAssets)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedCustomSingleLabelClassificationProjectAssets IPersistableModel<ExportedCustomSingleLabelClassificationProjectAssets>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomSingleLabelClassificationProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedCustomSingleLabelClassificationProjectAssets(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomSingleLabelClassificationProjectAssets)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedCustomSingleLabelClassificationProjectAssets>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new ExportedCustomSingleLabelClassificationProjectAssets FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedCustomSingleLabelClassificationProjectAssets(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomSingleLabelClassificationProjectAssets.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomSingleLabelClassificationProjectAssets.cs
new file mode 100644
index 000000000000..292673a3fdd8
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomSingleLabelClassificationProjectAssets.cs
@@ -0,0 +1,40 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the exported assets for a single-label classification project. </summary>
+    public partial class ExportedCustomSingleLabelClassificationProjectAssets : ExportedProjectAssets
+    {
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomSingleLabelClassificationProjectAssets"/>. </summary>
+        public ExportedCustomSingleLabelClassificationProjectAssets()
+        {
+            ProjectKind = ProjectKind.CustomSingleLabelClassification;
+            Classes = new ChangeTrackingList<ExportedClass>();
+            Documents = new ChangeTrackingList<ExportedCustomSingleLabelClassificationDocument>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomSingleLabelClassificationProjectAssets"/>. </summary>
+        /// <param name="projectKind"></param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="classes"> The list of classes belonging to this project. </param>
+        /// <param name="documents"> The list of documents belonging to this project. </param>
+        internal ExportedCustomSingleLabelClassificationProjectAssets(ProjectKind projectKind, IDictionary<string, BinaryData> serializedAdditionalRawData, IList<ExportedClass> classes, IList<ExportedCustomSingleLabelClassificationDocument> documents) : base(projectKind, serializedAdditionalRawData)
+        {
+            Classes = classes;
+            Documents = documents;
+        }
+
+        /// <summary> The list of classes belonging to this project. </summary>
+        public IList<ExportedClass> Classes { get; }
+        /// <summary> The list of documents belonging to this project. </summary>
+        public IList<ExportedCustomSingleLabelClassificationDocument> Documents { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomTextSentimentDocument.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomTextSentimentDocument.Serialization.cs
new file mode 100644
index 000000000000..33e3cc4f4be3
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomTextSentimentDocument.Serialization.cs
@@ -0,0 +1,185 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedCustomTextSentimentDocument : IUtf8JsonSerializable, IJsonModel<ExportedCustomTextSentimentDocument>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedCustomTextSentimentDocument>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedCustomTextSentimentDocument>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomTextSentimentDocument>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomTextSentimentDocument)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(SentimentSpans))
+            {
+                writer.WritePropertyName("sentimentSpans"u8);
+                writer.WriteStartArray();
+                foreach (var item in SentimentSpans)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsDefined(Location))
+            {
+                writer.WritePropertyName("location"u8);
+                writer.WriteStringValue(Location);
+            }
+            if (Optional.IsDefined(Language))
+            {
+                writer.WritePropertyName("language"u8);
+                writer.WriteStringValue(Language);
+            }
+            if (Optional.IsDefined(Dataset))
+            {
+                writer.WritePropertyName("dataset"u8);
+                writer.WriteStringValue(Dataset);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedCustomTextSentimentDocument IJsonModel<ExportedCustomTextSentimentDocument>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomTextSentimentDocument>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomTextSentimentDocument)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedCustomTextSentimentDocument(document.RootElement, options);
+        }
+
+        internal static ExportedCustomTextSentimentDocument DeserializeExportedCustomTextSentimentDocument(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<ExportedDocumentSentimentLabel> sentimentSpans = default;
+            string location = default;
+            string language = default;
+            string dataset = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("sentimentSpans"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedDocumentSentimentLabel> array = new List<ExportedDocumentSentimentLabel>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedDocumentSentimentLabel.DeserializeExportedDocumentSentimentLabel(item, options));
+                    }
+                    sentimentSpans = array;
+                    continue;
+                }
+                if (property.NameEquals("location"u8))
+                {
+                    location = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("dataset"u8))
+                {
+                    dataset = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedCustomTextSentimentDocument(sentimentSpans ?? new ChangeTrackingList<ExportedDocumentSentimentLabel>(), location, language, dataset, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedCustomTextSentimentDocument>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomTextSentimentDocument>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomTextSentimentDocument)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedCustomTextSentimentDocument IPersistableModel<ExportedCustomTextSentimentDocument>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomTextSentimentDocument>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedCustomTextSentimentDocument(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomTextSentimentDocument)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedCustomTextSentimentDocument>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedCustomTextSentimentDocument FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedCustomTextSentimentDocument(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomTextSentimentDocument.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomTextSentimentDocument.cs
new file mode 100644
index 000000000000..62638b13ae87
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomTextSentimentDocument.cs
@@ -0,0 +1,86 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents an exported document for a custom text sentiment project. </summary>
+    public partial class ExportedCustomTextSentimentDocument
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomTextSentimentDocument"/>. </summary>
+        public ExportedCustomTextSentimentDocument()
+        {
+            SentimentSpans = new ChangeTrackingList<ExportedDocumentSentimentLabel>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomTextSentimentDocument"/>. </summary>
+        /// <param name="sentimentSpans"></param>
+        /// <param name="location"> The location of the document in the storage. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="dataset"> The dataset for this document. Allowed values are 'Train' and 'Test'. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedCustomTextSentimentDocument(IList<ExportedDocumentSentimentLabel> sentimentSpans, string location, string language, string dataset, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            SentimentSpans = sentimentSpans;
+            Location = location;
+            Language = language;
+            Dataset = dataset;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Gets the sentiment spans. </summary>
+        public IList<ExportedDocumentSentimentLabel> SentimentSpans { get; }
+        /// <summary> The location of the document in the storage. </summary>
+        public string Location { get; set; }
+        /// <summary>
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </summary>
+        public string Language { get; set; }
+        /// <summary> The dataset for this document. Allowed values are 'Train' and 'Test'. </summary>
+        public string Dataset { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomTextSentimentProjectAssets.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomTextSentimentProjectAssets.Serialization.cs
new file mode 100644
index 000000000000..35f59b6c22b9
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomTextSentimentProjectAssets.Serialization.cs
@@ -0,0 +1,160 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedCustomTextSentimentProjectAssets : IUtf8JsonSerializable, IJsonModel<ExportedCustomTextSentimentProjectAssets>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedCustomTextSentimentProjectAssets>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedCustomTextSentimentProjectAssets>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomTextSentimentProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomTextSentimentProjectAssets)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(Documents))
+            {
+                writer.WritePropertyName("documents"u8);
+                writer.WriteStartArray();
+                foreach (var item in Documents)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedCustomTextSentimentProjectAssets IJsonModel<ExportedCustomTextSentimentProjectAssets>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomTextSentimentProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedCustomTextSentimentProjectAssets)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedCustomTextSentimentProjectAssets(document.RootElement, options);
+        }
+
+        internal static ExportedCustomTextSentimentProjectAssets DeserializeExportedCustomTextSentimentProjectAssets(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<ExportedCustomTextSentimentDocument> documents = default;
+            ProjectKind projectKind = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("documents"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedCustomTextSentimentDocument> array = new List<ExportedCustomTextSentimentDocument>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedCustomTextSentimentDocument.DeserializeExportedCustomTextSentimentDocument(item, options));
+                    }
+                    documents = array;
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedCustomTextSentimentProjectAssets(projectKind, serializedAdditionalRawData, documents ?? new ChangeTrackingList<ExportedCustomTextSentimentDocument>());
+        }
+
+        BinaryData IPersistableModel<ExportedCustomTextSentimentProjectAssets>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomTextSentimentProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomTextSentimentProjectAssets)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedCustomTextSentimentProjectAssets IPersistableModel<ExportedCustomTextSentimentProjectAssets>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedCustomTextSentimentProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedCustomTextSentimentProjectAssets(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedCustomTextSentimentProjectAssets)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedCustomTextSentimentProjectAssets>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new ExportedCustomTextSentimentProjectAssets FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedCustomTextSentimentProjectAssets(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomTextSentimentProjectAssets.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomTextSentimentProjectAssets.cs
new file mode 100644
index 000000000000..312ce18a63a8
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedCustomTextSentimentProjectAssets.cs
@@ -0,0 +1,35 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the exported assets for a custom text sentiment project. </summary>
+    public partial class ExportedCustomTextSentimentProjectAssets : ExportedProjectAssets
+    {
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomTextSentimentProjectAssets"/>. </summary>
+        public ExportedCustomTextSentimentProjectAssets()
+        {
+            ProjectKind = ProjectKind.CustomTextSentiment;
+            Documents = new ChangeTrackingList<ExportedCustomTextSentimentDocument>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedCustomTextSentimentProjectAssets"/>. </summary>
+        /// <param name="projectKind"></param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="documents"> The list of documents belonging to the project. </param>
+        internal ExportedCustomTextSentimentProjectAssets(ProjectKind projectKind, IDictionary<string, BinaryData> serializedAdditionalRawData, IList<ExportedCustomTextSentimentDocument> documents) : base(projectKind, serializedAdditionalRawData)
+        {
+            Documents = documents;
+        }
+
+        /// <summary> The list of documents belonging to the project. </summary>
+        public IList<ExportedCustomTextSentimentDocument> Documents { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentClass.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentClass.Serialization.cs
new file mode 100644
index 000000000000..ba9f4df9f3b7
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentClass.Serialization.cs
@@ -0,0 +1,138 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedDocumentClass : IUtf8JsonSerializable, IJsonModel<ExportedDocumentClass>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedDocumentClass>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedDocumentClass>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedDocumentClass>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedDocumentClass)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsDefined(Category))
+            {
+                writer.WritePropertyName("category"u8);
+                writer.WriteStringValue(Category);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedDocumentClass IJsonModel<ExportedDocumentClass>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedDocumentClass>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedDocumentClass)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedDocumentClass(document.RootElement, options);
+        }
+
+        internal static ExportedDocumentClass DeserializeExportedDocumentClass(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string category = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("category"u8))
+                {
+                    category = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedDocumentClass(category, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedDocumentClass>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedDocumentClass>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedDocumentClass)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedDocumentClass IPersistableModel<ExportedDocumentClass>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedDocumentClass>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedDocumentClass(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedDocumentClass)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedDocumentClass>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedDocumentClass FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedDocumentClass(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentClass.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentClass.cs
new file mode 100644
index 000000000000..c3bc4ccbcc9b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentClass.cs
@@ -0,0 +1,65 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents a classification label for a document. </summary>
+    public partial class ExportedDocumentClass
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedDocumentClass"/>. </summary>
+        public ExportedDocumentClass()
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedDocumentClass"/>. </summary>
+        /// <param name="category"></param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedDocumentClass(string category, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Category = category;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Gets or sets the category. </summary>
+        public string Category { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentEntityLabel.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentEntityLabel.Serialization.cs
new file mode 100644
index 000000000000..842be257eab9
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentEntityLabel.Serialization.cs
@@ -0,0 +1,168 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedDocumentEntityLabel : IUtf8JsonSerializable, IJsonModel<ExportedDocumentEntityLabel>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedDocumentEntityLabel>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedDocumentEntityLabel>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedDocumentEntityLabel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedDocumentEntityLabel)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsDefined(Category))
+            {
+                writer.WritePropertyName("category"u8);
+                writer.WriteStringValue(Category);
+            }
+            if (Optional.IsDefined(Offset))
+            {
+                writer.WritePropertyName("offset"u8);
+                writer.WriteNumberValue(Offset.Value);
+            }
+            if (Optional.IsDefined(Length))
+            {
+                writer.WritePropertyName("length"u8);
+                writer.WriteNumberValue(Length.Value);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedDocumentEntityLabel IJsonModel<ExportedDocumentEntityLabel>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedDocumentEntityLabel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedDocumentEntityLabel)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedDocumentEntityLabel(document.RootElement, options);
+        }
+
+        internal static ExportedDocumentEntityLabel DeserializeExportedDocumentEntityLabel(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string category = default;
+            int? offset = default;
+            int? length = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("category"u8))
+                {
+                    category = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("offset"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    offset = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("length"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    length = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedDocumentEntityLabel(category, offset, length, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedDocumentEntityLabel>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedDocumentEntityLabel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedDocumentEntityLabel)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedDocumentEntityLabel IPersistableModel<ExportedDocumentEntityLabel>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedDocumentEntityLabel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedDocumentEntityLabel(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedDocumentEntityLabel)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedDocumentEntityLabel>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedDocumentEntityLabel FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedDocumentEntityLabel(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentEntityLabel.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentEntityLabel.cs
new file mode 100644
index 000000000000..42d863a62eec
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentEntityLabel.cs
@@ -0,0 +1,73 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents an entity label for a document. </summary>
+    public partial class ExportedDocumentEntityLabel
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedDocumentEntityLabel"/>. </summary>
+        public ExportedDocumentEntityLabel()
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedDocumentEntityLabel"/>. </summary>
+        /// <param name="category"> The entity category. </param>
+        /// <param name="offset"> Start position for the entity text. </param>
+        /// <param name="length"> Length for the entity text. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedDocumentEntityLabel(string category, int? offset, int? length, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Category = category;
+            Offset = offset;
+            Length = length;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> The entity category. </summary>
+        public string Category { get; set; }
+        /// <summary> Start position for the entity text. </summary>
+        public int? Offset { get; set; }
+        /// <summary> Length for the entity text. </summary>
+        public int? Length { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentEntityRegion.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentEntityRegion.Serialization.cs
new file mode 100644
index 000000000000..35d6e3ca3823
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentEntityRegion.Serialization.cs
@@ -0,0 +1,182 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedDocumentEntityRegion : IUtf8JsonSerializable, IJsonModel<ExportedDocumentEntityRegion>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedDocumentEntityRegion>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedDocumentEntityRegion>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedDocumentEntityRegion>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedDocumentEntityRegion)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsDefined(RegionOffset))
+            {
+                writer.WritePropertyName("regionOffset"u8);
+                writer.WriteNumberValue(RegionOffset.Value);
+            }
+            if (Optional.IsDefined(RegionLength))
+            {
+                writer.WritePropertyName("regionLength"u8);
+                writer.WriteNumberValue(RegionLength.Value);
+            }
+            if (Optional.IsCollectionDefined(Labels))
+            {
+                writer.WritePropertyName("labels"u8);
+                writer.WriteStartArray();
+                foreach (var item in Labels)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedDocumentEntityRegion IJsonModel<ExportedDocumentEntityRegion>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedDocumentEntityRegion>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedDocumentEntityRegion)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedDocumentEntityRegion(document.RootElement, options);
+        }
+
+        internal static ExportedDocumentEntityRegion DeserializeExportedDocumentEntityRegion(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            int? regionOffset = default;
+            int? regionLength = default;
+            IList<ExportedDocumentEntityLabel> labels = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("regionOffset"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    regionOffset = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("regionLength"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    regionLength = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("labels"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedDocumentEntityLabel> array = new List<ExportedDocumentEntityLabel>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedDocumentEntityLabel.DeserializeExportedDocumentEntityLabel(item, options));
+                    }
+                    labels = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedDocumentEntityRegion(regionOffset, regionLength, labels ?? new ChangeTrackingList<ExportedDocumentEntityLabel>(), serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedDocumentEntityRegion>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedDocumentEntityRegion>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedDocumentEntityRegion)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedDocumentEntityRegion IPersistableModel<ExportedDocumentEntityRegion>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedDocumentEntityRegion>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedDocumentEntityRegion(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedDocumentEntityRegion)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedDocumentEntityRegion>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedDocumentEntityRegion FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedDocumentEntityRegion(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentEntityRegion.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentEntityRegion.cs
new file mode 100644
index 000000000000..ed879a5da600
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentEntityRegion.cs
@@ -0,0 +1,74 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents a region in a document for entity labeling. </summary>
+    public partial class ExportedDocumentEntityRegion
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedDocumentEntityRegion"/>. </summary>
+        public ExportedDocumentEntityRegion()
+        {
+            Labels = new ChangeTrackingList<ExportedDocumentEntityLabel>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedDocumentEntityRegion"/>. </summary>
+        /// <param name="regionOffset"> Start position for the region. </param>
+        /// <param name="regionLength"> Length for the region text. </param>
+        /// <param name="labels"> The list of entity labels belonging to this region. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedDocumentEntityRegion(int? regionOffset, int? regionLength, IList<ExportedDocumentEntityLabel> labels, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            RegionOffset = regionOffset;
+            RegionLength = regionLength;
+            Labels = labels;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Start position for the region. </summary>
+        public int? RegionOffset { get; set; }
+        /// <summary> Length for the region text. </summary>
+        public int? RegionLength { get; set; }
+        /// <summary> The list of entity labels belonging to this region. </summary>
+        public IList<ExportedDocumentEntityLabel> Labels { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentSentimentLabel.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentSentimentLabel.Serialization.cs
new file mode 100644
index 000000000000..4c7a252cd611
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentSentimentLabel.Serialization.cs
@@ -0,0 +1,172 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedDocumentSentimentLabel : IUtf8JsonSerializable, IJsonModel<ExportedDocumentSentimentLabel>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedDocumentSentimentLabel>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedDocumentSentimentLabel>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedDocumentSentimentLabel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedDocumentSentimentLabel)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsDefined(Category))
+            {
+                writer.WritePropertyName("category"u8);
+                writer.WriteStringValue(Category.Value.ToString());
+            }
+            if (Optional.IsDefined(Offset))
+            {
+                writer.WritePropertyName("offset"u8);
+                writer.WriteNumberValue(Offset.Value);
+            }
+            if (Optional.IsDefined(Length))
+            {
+                writer.WritePropertyName("length"u8);
+                writer.WriteNumberValue(Length.Value);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedDocumentSentimentLabel IJsonModel<ExportedDocumentSentimentLabel>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedDocumentSentimentLabel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedDocumentSentimentLabel)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedDocumentSentimentLabel(document.RootElement, options);
+        }
+
+        internal static ExportedDocumentSentimentLabel DeserializeExportedDocumentSentimentLabel(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            TextAnalysisAuthoringSentiment? category = default;
+            int? offset = default;
+            int? length = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("category"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    category = new TextAnalysisAuthoringSentiment(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("offset"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    offset = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("length"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    length = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedDocumentSentimentLabel(category, offset, length, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedDocumentSentimentLabel>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedDocumentSentimentLabel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedDocumentSentimentLabel)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedDocumentSentimentLabel IPersistableModel<ExportedDocumentSentimentLabel>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedDocumentSentimentLabel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedDocumentSentimentLabel(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedDocumentSentimentLabel)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedDocumentSentimentLabel>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedDocumentSentimentLabel FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedDocumentSentimentLabel(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentSentimentLabel.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentSentimentLabel.cs
new file mode 100644
index 000000000000..d26d295871ae
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedDocumentSentimentLabel.cs
@@ -0,0 +1,73 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents an entity label for a document. </summary>
+    public partial class ExportedDocumentSentimentLabel
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedDocumentSentimentLabel"/>. </summary>
+        public ExportedDocumentSentimentLabel()
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedDocumentSentimentLabel"/>. </summary>
+        /// <param name="category"> The sentiment category. </param>
+        /// <param name="offset"> Start position for the sentiment text. </param>
+        /// <param name="length"> Length for the sentiment text. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedDocumentSentimentLabel(TextAnalysisAuthoringSentiment? category, int? offset, int? length, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Category = category;
+            Offset = offset;
+            Length = length;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> The sentiment category. </summary>
+        public TextAnalysisAuthoringSentiment? Category { get; set; }
+        /// <summary> Start position for the sentiment text. </summary>
+        public int? Offset { get; set; }
+        /// <summary> Length for the sentiment text. </summary>
+        public int? Length { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntity.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntity.Serialization.cs
new file mode 100644
index 000000000000..f5b8448bbf04
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntity.Serialization.cs
@@ -0,0 +1,149 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedEntity : IUtf8JsonSerializable, IJsonModel<ExportedEntity>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedEntity>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedEntity>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntity>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntity)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsDefined(Category))
+            {
+                writer.WritePropertyName("category"u8);
+                writer.WriteStringValue(Category);
+            }
+            if (Optional.IsDefined(Description))
+            {
+                writer.WritePropertyName("description"u8);
+                writer.WriteStringValue(Description);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedEntity IJsonModel<ExportedEntity>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntity>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntity)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedEntity(document.RootElement, options);
+        }
+
+        internal static ExportedEntity DeserializeExportedEntity(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string category = default;
+            string description = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("category"u8))
+                {
+                    category = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("description"u8))
+                {
+                    description = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedEntity(category, description, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedEntity>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntity>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntity)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedEntity IPersistableModel<ExportedEntity>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntity>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedEntity(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntity)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedEntity>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedEntity FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedEntity(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntity.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntity.cs
new file mode 100644
index 000000000000..0490de69bb79
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntity.cs
@@ -0,0 +1,69 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents an entity in an exported project. </summary>
+    public partial class ExportedEntity
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntity"/>. </summary>
+        public ExportedEntity()
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntity"/>. </summary>
+        /// <param name="category"> The entity category. </param>
+        /// <param name="description"> Short description for entity category. Required when enabling synthetic data generation. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedEntity(string category, string description, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Category = category;
+            Description = description;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> The entity category. </summary>
+        public string Category { get; set; }
+        /// <summary> Short description for entity category. Required when enabling synthetic data generation. </summary>
+        public string Description { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntityList.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntityList.Serialization.cs
new file mode 100644
index 000000000000..b320b2c157d3
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntityList.Serialization.cs
@@ -0,0 +1,152 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedEntityList : IUtf8JsonSerializable, IJsonModel<ExportedEntityList>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedEntityList>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedEntityList>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityList>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntityList)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(Sublists))
+            {
+                writer.WritePropertyName("sublists"u8);
+                writer.WriteStartArray();
+                foreach (var item in Sublists)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedEntityList IJsonModel<ExportedEntityList>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityList>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntityList)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedEntityList(document.RootElement, options);
+        }
+
+        internal static ExportedEntityList DeserializeExportedEntityList(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<ExportedEntitySublist> sublists = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("sublists"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedEntitySublist> array = new List<ExportedEntitySublist>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedEntitySublist.DeserializeExportedEntitySublist(item, options));
+                    }
+                    sublists = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedEntityList(sublists ?? new ChangeTrackingList<ExportedEntitySublist>(), serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedEntityList>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityList>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntityList)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedEntityList IPersistableModel<ExportedEntityList>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityList>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedEntityList(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntityList)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedEntityList>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedEntityList FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedEntityList(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntityList.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntityList.cs
new file mode 100644
index 000000000000..bd045aa06efe
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntityList.cs
@@ -0,0 +1,66 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents a list component of an entity. </summary>
+    public partial class ExportedEntityList
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntityList"/>. </summary>
+        public ExportedEntityList()
+        {
+            Sublists = new ChangeTrackingList<ExportedEntitySublist>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntityList"/>. </summary>
+        /// <param name="sublists"> The sub-lists of the list component. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedEntityList(IList<ExportedEntitySublist> sublists, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Sublists = sublists;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> The sub-lists of the list component. </summary>
+        public IList<ExportedEntitySublist> Sublists { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntityListSynonym.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntityListSynonym.Serialization.cs
new file mode 100644
index 000000000000..fc320ed32d5e
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntityListSynonym.Serialization.cs
@@ -0,0 +1,163 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedEntityListSynonym : IUtf8JsonSerializable, IJsonModel<ExportedEntityListSynonym>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedEntityListSynonym>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedEntityListSynonym>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityListSynonym>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntityListSynonym)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsDefined(Language))
+            {
+                writer.WritePropertyName("language"u8);
+                writer.WriteStringValue(Language);
+            }
+            if (Optional.IsCollectionDefined(Values))
+            {
+                writer.WritePropertyName("values"u8);
+                writer.WriteStartArray();
+                foreach (var item in Values)
+                {
+                    writer.WriteStringValue(item);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedEntityListSynonym IJsonModel<ExportedEntityListSynonym>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityListSynonym>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntityListSynonym)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedEntityListSynonym(document.RootElement, options);
+        }
+
+        internal static ExportedEntityListSynonym DeserializeExportedEntityListSynonym(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string language = default;
+            IList<string> values = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("values"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<string> array = new List<string>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(item.GetString());
+                    }
+                    values = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedEntityListSynonym(language, values ?? new ChangeTrackingList<string>(), serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedEntityListSynonym>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityListSynonym>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntityListSynonym)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedEntityListSynonym IPersistableModel<ExportedEntityListSynonym>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityListSynonym>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedEntityListSynonym(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntityListSynonym)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedEntityListSynonym>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedEntityListSynonym FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedEntityListSynonym(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntityListSynonym.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntityListSynonym.cs
new file mode 100644
index 000000000000..113b9389092e
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntityListSynonym.cs
@@ -0,0 +1,78 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents a list of synonyms inside a list component. </summary>
+    public partial class ExportedEntityListSynonym
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntityListSynonym"/>. </summary>
+        public ExportedEntityListSynonym()
+        {
+            Values = new ChangeTrackingList<string>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntityListSynonym"/>. </summary>
+        /// <param name="language">
+        /// Represents the language of the synonyms. This is BCP-47 representation of a
+        /// language. For example, use "en" for English, "en-gb" for English (UK), "es" for
+        /// Spanish etc.
+        /// </param>
+        /// <param name="values"> The list of synonyms. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedEntityListSynonym(string language, IList<string> values, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Language = language;
+            Values = values;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary>
+        /// Represents the language of the synonyms. This is BCP-47 representation of a
+        /// language. For example, use "en" for English, "en-gb" for English (UK), "es" for
+        /// Spanish etc.
+        /// </summary>
+        public string Language { get; set; }
+        /// <summary> The list of synonyms. </summary>
+        public IList<string> Values { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntitySublist.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntitySublist.Serialization.cs
new file mode 100644
index 000000000000..5d047b121e92
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntitySublist.Serialization.cs
@@ -0,0 +1,163 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedEntitySublist : IUtf8JsonSerializable, IJsonModel<ExportedEntitySublist>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedEntitySublist>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedEntitySublist>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntitySublist>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntitySublist)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsDefined(ListKey))
+            {
+                writer.WritePropertyName("listKey"u8);
+                writer.WriteStringValue(ListKey);
+            }
+            if (Optional.IsCollectionDefined(Synonyms))
+            {
+                writer.WritePropertyName("synonyms"u8);
+                writer.WriteStartArray();
+                foreach (var item in Synonyms)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedEntitySublist IJsonModel<ExportedEntitySublist>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntitySublist>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntitySublist)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedEntitySublist(document.RootElement, options);
+        }
+
+        internal static ExportedEntitySublist DeserializeExportedEntitySublist(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string listKey = default;
+            IList<ExportedEntityListSynonym> synonyms = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("listKey"u8))
+                {
+                    listKey = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("synonyms"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedEntityListSynonym> array = new List<ExportedEntityListSynonym>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedEntityListSynonym.DeserializeExportedEntityListSynonym(item, options));
+                    }
+                    synonyms = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedEntitySublist(listKey, synonyms ?? new ChangeTrackingList<ExportedEntityListSynonym>(), serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedEntitySublist>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntitySublist>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntitySublist)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedEntitySublist IPersistableModel<ExportedEntitySublist>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntitySublist>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedEntitySublist(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntitySublist)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedEntitySublist>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedEntitySublist FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedEntitySublist(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntitySublist.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntitySublist.cs
new file mode 100644
index 000000000000..7b2698d2f8ab
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedEntitySublist.cs
@@ -0,0 +1,70 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents a sub-list inside a list component. </summary>
+    public partial class ExportedEntitySublist
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntitySublist"/>. </summary>
+        public ExportedEntitySublist()
+        {
+            Synonyms = new ChangeTrackingList<ExportedEntityListSynonym>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntitySublist"/>. </summary>
+        /// <param name="listKey"> The key of the sub-list. </param>
+        /// <param name="synonyms"> The phrases of that correspond to the sub-list. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedEntitySublist(string listKey, IList<ExportedEntityListSynonym> synonyms, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ListKey = listKey;
+            Synonyms = synonyms;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> The key of the sub-list. </summary>
+        public string ListKey { get; set; }
+        /// <summary> The phrases of that correspond to the sub-list. </summary>
+        public IList<ExportedEntityListSynonym> Synonyms { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedModelConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedModelConfig.Serialization.cs
new file mode 100644
index 000000000000..f3c4b144f22f
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedModelConfig.Serialization.cs
@@ -0,0 +1,135 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedModelConfig : IUtf8JsonSerializable, IJsonModel<ExportedModelConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedModelConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedModelConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedModelConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedModelConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("trainedModelLabel"u8);
+            writer.WriteStringValue(TrainedModelLabel);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedModelConfig IJsonModel<ExportedModelConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedModelConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedModelConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedModelConfig(document.RootElement, options);
+        }
+
+        internal static ExportedModelConfig DeserializeExportedModelConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string trainedModelLabel = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("trainedModelLabel"u8))
+                {
+                    trainedModelLabel = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedModelConfig(trainedModelLabel, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedModelConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedModelConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedModelConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedModelConfig IPersistableModel<ExportedModelConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedModelConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedModelConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedModelConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedModelConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedModelConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedModelConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedModelConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedModelConfig.cs
new file mode 100644
index 000000000000..87a5ceea6df8
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedModelConfig.cs
@@ -0,0 +1,75 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the options for creating or replacing an exported model. </summary>
+    public partial class ExportedModelConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedModelConfig"/>. </summary>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="trainedModelLabel"/> is null. </exception>
+        public ExportedModelConfig(string trainedModelLabel)
+        {
+            Argument.AssertNotNull(trainedModelLabel, nameof(trainedModelLabel));
+
+            TrainedModelLabel = trainedModelLabel;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedModelConfig"/>. </summary>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedModelConfig(string trainedModelLabel, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            TrainedModelLabel = trainedModelLabel;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedModelConfig"/> for deserialization. </summary>
+        internal ExportedModelConfig()
+        {
+        }
+
+        /// <summary> The trained model label. </summary>
+        public string TrainedModelLabel { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedModelManifest.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedModelManifest.Serialization.cs
new file mode 100644
index 000000000000..ec7dd042b093
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedModelManifest.Serialization.cs
@@ -0,0 +1,145 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedModelManifest : IUtf8JsonSerializable, IJsonModel<ExportedModelManifest>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedModelManifest>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedModelManifest>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedModelManifest>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedModelManifest)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("modelFiles"u8);
+            writer.WriteStartArray();
+            foreach (var item in ModelFiles)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedModelManifest IJsonModel<ExportedModelManifest>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedModelManifest>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedModelManifest)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedModelManifest(document.RootElement, options);
+        }
+
+        internal static ExportedModelManifest DeserializeExportedModelManifest(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IReadOnlyList<ModelFile> modelFiles = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("modelFiles"u8))
+                {
+                    List<ModelFile> array = new List<ModelFile>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ModelFile.DeserializeModelFile(item, options));
+                    }
+                    modelFiles = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedModelManifest(modelFiles, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedModelManifest>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedModelManifest>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedModelManifest)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedModelManifest IPersistableModel<ExportedModelManifest>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedModelManifest>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedModelManifest(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedModelManifest)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedModelManifest>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedModelManifest FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedModelManifest(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedModelManifest.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedModelManifest.cs
new file mode 100644
index 000000000000..06586a003896
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedModelManifest.cs
@@ -0,0 +1,76 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the properties for the exported model manifest. </summary>
+    public partial class ExportedModelManifest
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedModelManifest"/>. </summary>
+        /// <param name="modelFiles"> The model files belonging to this model. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="modelFiles"/> is null. </exception>
+        internal ExportedModelManifest(IEnumerable<ModelFile> modelFiles)
+        {
+            Argument.AssertNotNull(modelFiles, nameof(modelFiles));
+
+            ModelFiles = modelFiles.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedModelManifest"/>. </summary>
+        /// <param name="modelFiles"> The model files belonging to this model. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedModelManifest(IReadOnlyList<ModelFile> modelFiles, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ModelFiles = modelFiles;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedModelManifest"/> for deserialization. </summary>
+        internal ExportedModelManifest()
+        {
+        }
+
+        /// <summary> The model files belonging to this model. </summary>
+        public IReadOnlyList<ModelFile> ModelFiles { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedPrebuiltEntity.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedPrebuiltEntity.Serialization.cs
new file mode 100644
index 000000000000..bbe662803b49
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedPrebuiltEntity.Serialization.cs
@@ -0,0 +1,135 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedPrebuiltEntity : IUtf8JsonSerializable, IJsonModel<ExportedPrebuiltEntity>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedPrebuiltEntity>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedPrebuiltEntity>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedPrebuiltEntity>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedPrebuiltEntity)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("category"u8);
+            writer.WriteStringValue(Category);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedPrebuiltEntity IJsonModel<ExportedPrebuiltEntity>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedPrebuiltEntity>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedPrebuiltEntity)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedPrebuiltEntity(document.RootElement, options);
+        }
+
+        internal static ExportedPrebuiltEntity DeserializeExportedPrebuiltEntity(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string category = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("category"u8))
+                {
+                    category = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedPrebuiltEntity(category, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedPrebuiltEntity>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedPrebuiltEntity>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedPrebuiltEntity)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedPrebuiltEntity IPersistableModel<ExportedPrebuiltEntity>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedPrebuiltEntity>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedPrebuiltEntity(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedPrebuiltEntity)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedPrebuiltEntity>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedPrebuiltEntity FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedPrebuiltEntity(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedPrebuiltEntity.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedPrebuiltEntity.cs
new file mode 100644
index 000000000000..40beb0111e4d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedPrebuiltEntity.cs
@@ -0,0 +1,75 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents an exported prebuilt entity component. </summary>
+    public partial class ExportedPrebuiltEntity
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedPrebuiltEntity"/>. </summary>
+        /// <param name="category"> The prebuilt entity category. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="category"/> is null. </exception>
+        public ExportedPrebuiltEntity(string category)
+        {
+            Argument.AssertNotNull(category, nameof(category));
+
+            Category = category;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedPrebuiltEntity"/>. </summary>
+        /// <param name="category"> The prebuilt entity category. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedPrebuiltEntity(string category, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Category = category;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedPrebuiltEntity"/> for deserialization. </summary>
+        internal ExportedPrebuiltEntity()
+        {
+        }
+
+        /// <summary> The prebuilt entity category. </summary>
+        public string Category { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedProject.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedProject.Serialization.cs
new file mode 100644
index 000000000000..8dba93568c48
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedProject.Serialization.cs
@@ -0,0 +1,166 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedProject : IUtf8JsonSerializable, IJsonModel<ExportedProject>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedProject>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedProject>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProject>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedProject)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectFileVersion"u8);
+            writer.WriteStringValue(ProjectFileVersion);
+            writer.WritePropertyName("stringIndexType"u8);
+            writer.WriteStringValue(StringIndexType.ToString());
+            writer.WritePropertyName("metadata"u8);
+            writer.WriteObjectValue(Metadata, options);
+            if (Optional.IsDefined(Assets))
+            {
+                writer.WritePropertyName("assets"u8);
+                writer.WriteObjectValue(Assets, options);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedProject IJsonModel<ExportedProject>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProject>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedProject)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedProject(document.RootElement, options);
+        }
+
+        internal static ExportedProject DeserializeExportedProject(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string projectFileVersion = default;
+            StringIndexType stringIndexType = default;
+            CreateProjectConfig metadata = default;
+            ExportedProjectAssets assets = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("projectFileVersion"u8))
+                {
+                    projectFileVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("stringIndexType"u8))
+                {
+                    stringIndexType = new StringIndexType(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("metadata"u8))
+                {
+                    metadata = CreateProjectConfig.DeserializeCreateProjectConfig(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("assets"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    assets = ExportedProjectAssets.DeserializeExportedProjectAssets(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedProject(projectFileVersion, stringIndexType, metadata, assets, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedProject>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProject>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedProject)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedProject IPersistableModel<ExportedProject>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProject>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedProject(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedProject)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedProject>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedProject FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedProject(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedProject.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedProject.cs
new file mode 100644
index 000000000000..306e80a3b1bf
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedProject.cs
@@ -0,0 +1,109 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents an exported project. </summary>
+    public partial class ExportedProject
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedProject"/>. </summary>
+        /// <param name="projectFileVersion"> The version of the exported file. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets.
+        /// </param>
+        /// <param name="metadata"> Represents the project metadata. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectFileVersion"/> or <paramref name="metadata"/> is null. </exception>
+        public ExportedProject(string projectFileVersion, StringIndexType stringIndexType, CreateProjectConfig metadata)
+        {
+            Argument.AssertNotNull(projectFileVersion, nameof(projectFileVersion));
+            Argument.AssertNotNull(metadata, nameof(metadata));
+
+            ProjectFileVersion = projectFileVersion;
+            StringIndexType = stringIndexType;
+            Metadata = metadata;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedProject"/>. </summary>
+        /// <param name="projectFileVersion"> The version of the exported file. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets.
+        /// </param>
+        /// <param name="metadata"> Represents the project metadata. </param>
+        /// <param name="assets">
+        /// Represents the project assets.
+        /// Please note <see cref="ExportedProjectAssets"/> is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes.
+        /// The available derived classes include <see cref="ExportedCustomAbstractiveSummarizationProjectAssets"/>, <see cref="ExportedCustomEntityRecognitionProjectAssets"/>, <see cref="ExportedCustomHealthcareProjectAssets"/>, <see cref="ExportedCustomMultiLabelClassificationProjectAssets"/>, <see cref="ExportedCustomSingleLabelClassificationProjectAssets"/> and <see cref="ExportedCustomTextSentimentProjectAssets"/>.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedProject(string projectFileVersion, StringIndexType stringIndexType, CreateProjectConfig metadata, ExportedProjectAssets assets, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ProjectFileVersion = projectFileVersion;
+            StringIndexType = stringIndexType;
+            Metadata = metadata;
+            Assets = assets;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedProject"/> for deserialization. </summary>
+        internal ExportedProject()
+        {
+        }
+
+        /// <summary> The version of the exported file. </summary>
+        public string ProjectFileVersion { get; }
+        /// <summary>
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets.
+        /// </summary>
+        public StringIndexType StringIndexType { get; }
+        /// <summary> Represents the project metadata. </summary>
+        public CreateProjectConfig Metadata { get; }
+        /// <summary>
+        /// Represents the project assets.
+        /// Please note <see cref="ExportedProjectAssets"/> is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes.
+        /// The available derived classes include <see cref="ExportedCustomAbstractiveSummarizationProjectAssets"/>, <see cref="ExportedCustomEntityRecognitionProjectAssets"/>, <see cref="ExportedCustomHealthcareProjectAssets"/>, <see cref="ExportedCustomMultiLabelClassificationProjectAssets"/>, <see cref="ExportedCustomSingleLabelClassificationProjectAssets"/> and <see cref="ExportedCustomTextSentimentProjectAssets"/>.
+        /// </summary>
+        public ExportedProjectAssets Assets { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedProjectAssets.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedProjectAssets.Serialization.cs
new file mode 100644
index 000000000000..13c7f9f23571
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedProjectAssets.Serialization.cs
@@ -0,0 +1,131 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    [PersistableModelProxy(typeof(UnknownExportedProjectAssets))]
+    public partial class ExportedProjectAssets : IUtf8JsonSerializable, IJsonModel<ExportedProjectAssets>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedProjectAssets>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedProjectAssets>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedProjectAssets)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedProjectAssets IJsonModel<ExportedProjectAssets>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedProjectAssets)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedProjectAssets(document.RootElement, options);
+        }
+
+        internal static ExportedProjectAssets DeserializeExportedProjectAssets(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            if (element.TryGetProperty("projectKind", out JsonElement discriminator))
+            {
+                switch (discriminator.GetString())
+                {
+                    case "CustomAbstractiveSummarization": return ExportedCustomAbstractiveSummarizationProjectAssets.DeserializeExportedCustomAbstractiveSummarizationProjectAssets(element, options);
+                    case "CustomEntityRecognition": return ExportedCustomEntityRecognitionProjectAssets.DeserializeExportedCustomEntityRecognitionProjectAssets(element, options);
+                    case "CustomHealthcare": return ExportedCustomHealthcareProjectAssets.DeserializeExportedCustomHealthcareProjectAssets(element, options);
+                    case "CustomMultiLabelClassification": return ExportedCustomMultiLabelClassificationProjectAssets.DeserializeExportedCustomMultiLabelClassificationProjectAssets(element, options);
+                    case "CustomSingleLabelClassification": return ExportedCustomSingleLabelClassificationProjectAssets.DeserializeExportedCustomSingleLabelClassificationProjectAssets(element, options);
+                    case "CustomTextSentiment": return ExportedCustomTextSentimentProjectAssets.DeserializeExportedCustomTextSentimentProjectAssets(element, options);
+                }
+            }
+            return UnknownExportedProjectAssets.DeserializeUnknownExportedProjectAssets(element, options);
+        }
+
+        BinaryData IPersistableModel<ExportedProjectAssets>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedProjectAssets)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedProjectAssets IPersistableModel<ExportedProjectAssets>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedProjectAssets(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedProjectAssets)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedProjectAssets>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedProjectAssets FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedProjectAssets(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedProjectAssets.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedProjectAssets.cs
new file mode 100644
index 000000000000..f6707552d9b7
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedProjectAssets.cs
@@ -0,0 +1,69 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents the assets of an exported project.
+    /// Please note <see cref="ExportedProjectAssets"/> is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes.
+    /// The available derived classes include <see cref="ExportedCustomAbstractiveSummarizationProjectAssets"/>, <see cref="ExportedCustomEntityRecognitionProjectAssets"/>, <see cref="ExportedCustomHealthcareProjectAssets"/>, <see cref="ExportedCustomMultiLabelClassificationProjectAssets"/>, <see cref="ExportedCustomSingleLabelClassificationProjectAssets"/> and <see cref="ExportedCustomTextSentimentProjectAssets"/>.
+    /// </summary>
+    public abstract partial class ExportedProjectAssets
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private protected IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedProjectAssets"/>. </summary>
+        protected ExportedProjectAssets()
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedProjectAssets"/>. </summary>
+        /// <param name="projectKind"></param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedProjectAssets(ProjectKind projectKind, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ProjectKind = projectKind;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Gets or sets the project kind. </summary>
+        internal ProjectKind ProjectKind { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedTrainedModel.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedTrainedModel.Serialization.cs
new file mode 100644
index 000000000000..c97af0e62dad
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedTrainedModel.Serialization.cs
@@ -0,0 +1,182 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ExportedTrainedModel : IUtf8JsonSerializable, IJsonModel<ExportedTrainedModel>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedTrainedModel>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedTrainedModel>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedTrainedModel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedTrainedModel)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("exportedModelName"u8);
+            writer.WriteStringValue(ExportedModelName);
+            writer.WritePropertyName("modelId"u8);
+            writer.WriteStringValue(ModelId);
+            writer.WritePropertyName("lastTrainedDateTime"u8);
+            writer.WriteStringValue(LastTrainedDateTime, "O");
+            writer.WritePropertyName("lastExportedModelDateTime"u8);
+            writer.WriteStringValue(LastExportedModelDateTime, "O");
+            writer.WritePropertyName("modelExpirationDate"u8);
+            writer.WriteStringValue(ModelExpirationDate, "D");
+            writer.WritePropertyName("modelTrainingConfigVersion"u8);
+            writer.WriteStringValue(ModelTrainingConfigVersion);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedTrainedModel IJsonModel<ExportedTrainedModel>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedTrainedModel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedTrainedModel)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedTrainedModel(document.RootElement, options);
+        }
+
+        internal static ExportedTrainedModel DeserializeExportedTrainedModel(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string exportedModelName = default;
+            string modelId = default;
+            DateTimeOffset lastTrainedDateTime = default;
+            DateTimeOffset lastExportedModelDateTime = default;
+            DateTimeOffset modelExpirationDate = default;
+            string modelTrainingConfigVersion = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("exportedModelName"u8))
+                {
+                    exportedModelName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("modelId"u8))
+                {
+                    modelId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("lastTrainedDateTime"u8))
+                {
+                    lastTrainedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastExportedModelDateTime"u8))
+                {
+                    lastExportedModelDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("modelExpirationDate"u8))
+                {
+                    modelExpirationDate = property.Value.GetDateTimeOffset("D");
+                    continue;
+                }
+                if (property.NameEquals("modelTrainingConfigVersion"u8))
+                {
+                    modelTrainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedTrainedModel(
+                exportedModelName,
+                modelId,
+                lastTrainedDateTime,
+                lastExportedModelDateTime,
+                modelExpirationDate,
+                modelTrainingConfigVersion,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedTrainedModel>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedTrainedModel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedTrainedModel)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedTrainedModel IPersistableModel<ExportedTrainedModel>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedTrainedModel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedTrainedModel(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedTrainedModel)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedTrainedModel>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedTrainedModel FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedTrainedModel(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedTrainedModel.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedTrainedModel.cs
new file mode 100644
index 000000000000..a515dad66e53
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ExportedTrainedModel.cs
@@ -0,0 +1,107 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents an exported trained model. </summary>
+    public partial class ExportedTrainedModel
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedTrainedModel"/>. </summary>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastExportedModelDateTime"> The last exported date time of the model. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="exportedModelName"/>, <paramref name="modelId"/> or <paramref name="modelTrainingConfigVersion"/> is null. </exception>
+        internal ExportedTrainedModel(string exportedModelName, string modelId, DateTimeOffset lastTrainedDateTime, DateTimeOffset lastExportedModelDateTime, DateTimeOffset modelExpirationDate, string modelTrainingConfigVersion)
+        {
+            Argument.AssertNotNull(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNull(modelId, nameof(modelId));
+            Argument.AssertNotNull(modelTrainingConfigVersion, nameof(modelTrainingConfigVersion));
+
+            ExportedModelName = exportedModelName;
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastExportedModelDateTime = lastExportedModelDateTime;
+            ModelExpirationDate = modelExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedTrainedModel"/>. </summary>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastExportedModelDateTime"> The last exported date time of the model. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedTrainedModel(string exportedModelName, string modelId, DateTimeOffset lastTrainedDateTime, DateTimeOffset lastExportedModelDateTime, DateTimeOffset modelExpirationDate, string modelTrainingConfigVersion, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ExportedModelName = exportedModelName;
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastExportedModelDateTime = lastExportedModelDateTime;
+            ModelExpirationDate = modelExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedTrainedModel"/> for deserialization. </summary>
+        internal ExportedTrainedModel()
+        {
+        }
+
+        /// <summary> The exported model name. </summary>
+        public string ExportedModelName { get; }
+        /// <summary> The model ID. </summary>
+        public string ModelId { get; }
+        /// <summary> The last trained date time of the model. </summary>
+        public DateTimeOffset LastTrainedDateTime { get; }
+        /// <summary> The last exported date time of the model. </summary>
+        public DateTimeOffset LastExportedModelDateTime { get; }
+        /// <summary> The model expiration date. </summary>
+        public DateTimeOffset ModelExpirationDate { get; }
+        /// <summary> The model training config version. </summary>
+        public string ModelTrainingConfigVersion { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetAssignDeploymentResourcesStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetAssignDeploymentResourcesStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..212eacce3a18
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetAssignDeploymentResourcesStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class GetAssignDeploymentResourcesStatusResponse : IUtf8JsonSerializable, IJsonModel<GetAssignDeploymentResourcesStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetAssignDeploymentResourcesStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetAssignDeploymentResourcesStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetAssignDeploymentResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetAssignDeploymentResourcesStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetAssignDeploymentResourcesStatusResponse IJsonModel<GetAssignDeploymentResourcesStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetAssignDeploymentResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetAssignDeploymentResourcesStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetAssignDeploymentResourcesStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetAssignDeploymentResourcesStatusResponse DeserializeGetAssignDeploymentResourcesStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<TextAnalysisAuthoringWarning> warnings = default;
+            IReadOnlyList<TextAnalysisAuthoringError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringWarning> array = new List<TextAnalysisAuthoringWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringWarning.DeserializeTextAnalysisAuthoringWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringError> array = new List<TextAnalysisAuthoringError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringError.DeserializeTextAnalysisAuthoringError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetAssignDeploymentResourcesStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<TextAnalysisAuthoringWarning>(),
+                errors ?? new ChangeTrackingList<TextAnalysisAuthoringError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetAssignDeploymentResourcesStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetAssignDeploymentResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetAssignDeploymentResourcesStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetAssignDeploymentResourcesStatusResponse IPersistableModel<GetAssignDeploymentResourcesStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetAssignDeploymentResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetAssignDeploymentResourcesStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetAssignDeploymentResourcesStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetAssignDeploymentResourcesStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetAssignDeploymentResourcesStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetAssignDeploymentResourcesStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetAssignDeploymentResourcesStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetAssignDeploymentResourcesStatusResponse.cs
new file mode 100644
index 000000000000..defa22405acf
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetAssignDeploymentResourcesStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The GetAssignDeploymentResourcesStatusResponse. </summary>
+    public partial class GetAssignDeploymentResourcesStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetAssignDeploymentResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetAssignDeploymentResourcesStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<TextAnalysisAuthoringWarning>();
+            Errors = new ChangeTrackingList<TextAnalysisAuthoringError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetAssignDeploymentResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetAssignDeploymentResourcesStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<TextAnalysisAuthoringWarning> warnings, IReadOnlyList<TextAnalysisAuthoringError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetAssignDeploymentResourcesStatusResponse"/> for deserialization. </summary>
+        internal GetAssignDeploymentResourcesStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetCopyProjectStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetCopyProjectStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..bb5c4b39c56e
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetCopyProjectStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class GetCopyProjectStatusResponse : IUtf8JsonSerializable, IJsonModel<GetCopyProjectStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetCopyProjectStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetCopyProjectStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetCopyProjectStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetCopyProjectStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetCopyProjectStatusResponse IJsonModel<GetCopyProjectStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetCopyProjectStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetCopyProjectStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetCopyProjectStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetCopyProjectStatusResponse DeserializeGetCopyProjectStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<TextAnalysisAuthoringWarning> warnings = default;
+            IReadOnlyList<TextAnalysisAuthoringError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringWarning> array = new List<TextAnalysisAuthoringWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringWarning.DeserializeTextAnalysisAuthoringWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringError> array = new List<TextAnalysisAuthoringError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringError.DeserializeTextAnalysisAuthoringError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetCopyProjectStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<TextAnalysisAuthoringWarning>(),
+                errors ?? new ChangeTrackingList<TextAnalysisAuthoringError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetCopyProjectStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetCopyProjectStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetCopyProjectStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetCopyProjectStatusResponse IPersistableModel<GetCopyProjectStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetCopyProjectStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetCopyProjectStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetCopyProjectStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetCopyProjectStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetCopyProjectStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetCopyProjectStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetCopyProjectStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetCopyProjectStatusResponse.cs
new file mode 100644
index 000000000000..343cd0feb0ac
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetCopyProjectStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The GetCopyProjectStatusResponse. </summary>
+    public partial class GetCopyProjectStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetCopyProjectStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetCopyProjectStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<TextAnalysisAuthoringWarning>();
+            Errors = new ChangeTrackingList<TextAnalysisAuthoringError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetCopyProjectStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetCopyProjectStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<TextAnalysisAuthoringWarning> warnings, IReadOnlyList<TextAnalysisAuthoringError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetCopyProjectStatusResponse"/> for deserialization. </summary>
+        internal GetCopyProjectStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentDeleteFromResourcesStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentDeleteFromResourcesStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..771e00bc6e4e
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentDeleteFromResourcesStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class GetDeploymentDeleteFromResourcesStatusResponse : IUtf8JsonSerializable, IJsonModel<GetDeploymentDeleteFromResourcesStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetDeploymentDeleteFromResourcesStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetDeploymentDeleteFromResourcesStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentDeleteFromResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetDeploymentDeleteFromResourcesStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetDeploymentDeleteFromResourcesStatusResponse IJsonModel<GetDeploymentDeleteFromResourcesStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentDeleteFromResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetDeploymentDeleteFromResourcesStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetDeploymentDeleteFromResourcesStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetDeploymentDeleteFromResourcesStatusResponse DeserializeGetDeploymentDeleteFromResourcesStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<TextAnalysisAuthoringWarning> warnings = default;
+            IReadOnlyList<TextAnalysisAuthoringError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringWarning> array = new List<TextAnalysisAuthoringWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringWarning.DeserializeTextAnalysisAuthoringWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringError> array = new List<TextAnalysisAuthoringError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringError.DeserializeTextAnalysisAuthoringError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetDeploymentDeleteFromResourcesStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<TextAnalysisAuthoringWarning>(),
+                errors ?? new ChangeTrackingList<TextAnalysisAuthoringError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetDeploymentDeleteFromResourcesStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentDeleteFromResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetDeploymentDeleteFromResourcesStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetDeploymentDeleteFromResourcesStatusResponse IPersistableModel<GetDeploymentDeleteFromResourcesStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentDeleteFromResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetDeploymentDeleteFromResourcesStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetDeploymentDeleteFromResourcesStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetDeploymentDeleteFromResourcesStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetDeploymentDeleteFromResourcesStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetDeploymentDeleteFromResourcesStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentDeleteFromResourcesStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentDeleteFromResourcesStatusResponse.cs
new file mode 100644
index 000000000000..d783aa5b93c0
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentDeleteFromResourcesStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The GetDeploymentDeleteFromResourcesStatusResponse. </summary>
+    public partial class GetDeploymentDeleteFromResourcesStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentDeleteFromResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetDeploymentDeleteFromResourcesStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<TextAnalysisAuthoringWarning>();
+            Errors = new ChangeTrackingList<TextAnalysisAuthoringError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentDeleteFromResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetDeploymentDeleteFromResourcesStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<TextAnalysisAuthoringWarning> warnings, IReadOnlyList<TextAnalysisAuthoringError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentDeleteFromResourcesStatusResponse"/> for deserialization. </summary>
+        internal GetDeploymentDeleteFromResourcesStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentResponse.Serialization.cs
new file mode 100644
index 000000000000..63495fd15d9f
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentResponse.Serialization.cs
@@ -0,0 +1,192 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class GetDeploymentResponse : IUtf8JsonSerializable, IJsonModel<GetDeploymentResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetDeploymentResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetDeploymentResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetDeploymentResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("modelId"u8);
+            writer.WriteStringValue(ModelId);
+            writer.WritePropertyName("lastTrainedDateTime"u8);
+            writer.WriteStringValue(LastTrainedDateTime, "O");
+            writer.WritePropertyName("lastDeployedDateTime"u8);
+            writer.WriteStringValue(LastDeployedDateTime, "O");
+            writer.WritePropertyName("deploymentExpirationDate"u8);
+            writer.WriteStringValue(DeploymentExpirationDate, "D");
+            writer.WritePropertyName("modelTrainingConfigVersion"u8);
+            writer.WriteStringValue(ModelTrainingConfigVersion);
+            writer.WritePropertyName("assignedResources"u8);
+            writer.WriteStartArray();
+            foreach (var item in AssignedResources)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetDeploymentResponse IJsonModel<GetDeploymentResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetDeploymentResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetDeploymentResponse(document.RootElement, options);
+        }
+
+        internal static GetDeploymentResponse DeserializeGetDeploymentResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string modelId = default;
+            DateTimeOffset lastTrainedDateTime = default;
+            DateTimeOffset lastDeployedDateTime = default;
+            DateTimeOffset deploymentExpirationDate = default;
+            string modelTrainingConfigVersion = default;
+            IReadOnlyList<DeploymentResource> assignedResources = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("modelId"u8))
+                {
+                    modelId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("lastTrainedDateTime"u8))
+                {
+                    lastTrainedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastDeployedDateTime"u8))
+                {
+                    lastDeployedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("deploymentExpirationDate"u8))
+                {
+                    deploymentExpirationDate = property.Value.GetDateTimeOffset("D");
+                    continue;
+                }
+                if (property.NameEquals("modelTrainingConfigVersion"u8))
+                {
+                    modelTrainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("assignedResources"u8))
+                {
+                    List<DeploymentResource> array = new List<DeploymentResource>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(DeploymentResource.DeserializeDeploymentResource(item, options));
+                    }
+                    assignedResources = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetDeploymentResponse(
+                modelId,
+                lastTrainedDateTime,
+                lastDeployedDateTime,
+                deploymentExpirationDate,
+                modelTrainingConfigVersion,
+                assignedResources,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetDeploymentResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetDeploymentResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetDeploymentResponse IPersistableModel<GetDeploymentResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetDeploymentResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetDeploymentResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetDeploymentResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetDeploymentResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetDeploymentResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentResponse.cs
new file mode 100644
index 000000000000..ee7bd4622034
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentResponse.cs
@@ -0,0 +1,108 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The GetDeploymentResponse. </summary>
+    public partial class GetDeploymentResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentResponse"/>. </summary>
+        /// <param name="modelId"> Represents deployment modelId. </param>
+        /// <param name="lastTrainedDateTime"> Represents deployment last trained time. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <param name="modelTrainingConfigVersion"> Represents model training config version. </param>
+        /// <param name="assignedResources"> Represents the metadata of the assigned Azure resources. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="modelId"/>, <paramref name="modelTrainingConfigVersion"/> or <paramref name="assignedResources"/> is null. </exception>
+        internal GetDeploymentResponse(string modelId, DateTimeOffset lastTrainedDateTime, DateTimeOffset lastDeployedDateTime, DateTimeOffset deploymentExpirationDate, string modelTrainingConfigVersion, IEnumerable<DeploymentResource> assignedResources)
+        {
+            Argument.AssertNotNull(modelId, nameof(modelId));
+            Argument.AssertNotNull(modelTrainingConfigVersion, nameof(modelTrainingConfigVersion));
+            Argument.AssertNotNull(assignedResources, nameof(assignedResources));
+
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastDeployedDateTime = lastDeployedDateTime;
+            DeploymentExpirationDate = deploymentExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            AssignedResources = assignedResources.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentResponse"/>. </summary>
+        /// <param name="modelId"> Represents deployment modelId. </param>
+        /// <param name="lastTrainedDateTime"> Represents deployment last trained time. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <param name="modelTrainingConfigVersion"> Represents model training config version. </param>
+        /// <param name="assignedResources"> Represents the metadata of the assigned Azure resources. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetDeploymentResponse(string modelId, DateTimeOffset lastTrainedDateTime, DateTimeOffset lastDeployedDateTime, DateTimeOffset deploymentExpirationDate, string modelTrainingConfigVersion, IReadOnlyList<DeploymentResource> assignedResources, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastDeployedDateTime = lastDeployedDateTime;
+            DeploymentExpirationDate = deploymentExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            AssignedResources = assignedResources;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentResponse"/> for deserialization. </summary>
+        internal GetDeploymentResponse()
+        {
+        }
+
+        /// <summary> Represents deployment modelId. </summary>
+        public string ModelId { get; }
+        /// <summary> Represents deployment last trained time. </summary>
+        public DateTimeOffset LastTrainedDateTime { get; }
+        /// <summary> Represents deployment last deployed time. </summary>
+        public DateTimeOffset LastDeployedDateTime { get; }
+        /// <summary> Represents deployment expiration date in the runtime. </summary>
+        public DateTimeOffset DeploymentExpirationDate { get; }
+        /// <summary> Represents model training config version. </summary>
+        public string ModelTrainingConfigVersion { get; }
+        /// <summary> Represents the metadata of the assigned Azure resources. </summary>
+        public IReadOnlyList<DeploymentResource> AssignedResources { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..d833f94c249d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class GetDeploymentStatusResponse : IUtf8JsonSerializable, IJsonModel<GetDeploymentStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetDeploymentStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetDeploymentStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetDeploymentStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetDeploymentStatusResponse IJsonModel<GetDeploymentStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetDeploymentStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetDeploymentStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetDeploymentStatusResponse DeserializeGetDeploymentStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<TextAnalysisAuthoringWarning> warnings = default;
+            IReadOnlyList<TextAnalysisAuthoringError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringWarning> array = new List<TextAnalysisAuthoringWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringWarning.DeserializeTextAnalysisAuthoringWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringError> array = new List<TextAnalysisAuthoringError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringError.DeserializeTextAnalysisAuthoringError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetDeploymentStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<TextAnalysisAuthoringWarning>(),
+                errors ?? new ChangeTrackingList<TextAnalysisAuthoringError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetDeploymentStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetDeploymentStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetDeploymentStatusResponse IPersistableModel<GetDeploymentStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetDeploymentStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetDeploymentStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetDeploymentStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetDeploymentStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetDeploymentStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentStatusResponse.cs
new file mode 100644
index 000000000000..f3a622686c83
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetDeploymentStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The GetDeploymentStatusResponse. </summary>
+    public partial class GetDeploymentStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetDeploymentStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<TextAnalysisAuthoringWarning>();
+            Errors = new ChangeTrackingList<TextAnalysisAuthoringError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetDeploymentStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<TextAnalysisAuthoringWarning> warnings, IReadOnlyList<TextAnalysisAuthoringError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentStatusResponse"/> for deserialization. </summary>
+        internal GetDeploymentStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetEvaluationStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetEvaluationStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..77a3d069fb42
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetEvaluationStatusResponse.Serialization.cs
@@ -0,0 +1,232 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class GetEvaluationStatusResponse : IUtf8JsonSerializable, IJsonModel<GetEvaluationStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetEvaluationStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetEvaluationStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetEvaluationStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetEvaluationStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            writer.WritePropertyName("result"u8);
+            writer.WriteObjectValue(Result, options);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetEvaluationStatusResponse IJsonModel<GetEvaluationStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetEvaluationStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetEvaluationStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetEvaluationStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetEvaluationStatusResponse DeserializeGetEvaluationStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<TextAnalysisAuthoringWarning> warnings = default;
+            IReadOnlyList<TextAnalysisAuthoringError> errors = default;
+            EvaluationJobResult result = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringWarning> array = new List<TextAnalysisAuthoringWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringWarning.DeserializeTextAnalysisAuthoringWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringError> array = new List<TextAnalysisAuthoringError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringError.DeserializeTextAnalysisAuthoringError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (property.NameEquals("result"u8))
+                {
+                    result = EvaluationJobResult.DeserializeEvaluationJobResult(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetEvaluationStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<TextAnalysisAuthoringWarning>(),
+                errors ?? new ChangeTrackingList<TextAnalysisAuthoringError>(),
+                result,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetEvaluationStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetEvaluationStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetEvaluationStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetEvaluationStatusResponse IPersistableModel<GetEvaluationStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetEvaluationStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetEvaluationStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetEvaluationStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetEvaluationStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetEvaluationStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetEvaluationStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetEvaluationStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetEvaluationStatusResponse.cs
new file mode 100644
index 000000000000..f68b4447abfd
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetEvaluationStatusResponse.cs
@@ -0,0 +1,107 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The GetEvaluationStatusResponse. </summary>
+    public partial class GetEvaluationStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetEvaluationStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="result"> Represents evaluation task detailed result. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="result"/> is null. </exception>
+        internal GetEvaluationStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status, EvaluationJobResult result)
+        {
+            Argument.AssertNotNull(result, nameof(result));
+
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<TextAnalysisAuthoringWarning>();
+            Errors = new ChangeTrackingList<TextAnalysisAuthoringError>();
+            Result = result;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetEvaluationStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="result"> Represents evaluation task detailed result. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetEvaluationStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<TextAnalysisAuthoringWarning> warnings, IReadOnlyList<TextAnalysisAuthoringError> errors, EvaluationJobResult result, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            Result = result;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetEvaluationStatusResponse"/> for deserialization. </summary>
+        internal GetEvaluationStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringError> Errors { get; }
+        /// <summary> Represents evaluation task detailed result. </summary>
+        public EvaluationJobResult Result { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..3f97d6339d90
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportStatusResponse.Serialization.cs
@@ -0,0 +1,235 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class GetExportStatusResponse : IUtf8JsonSerializable, IJsonModel<GetExportStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetExportStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetExportStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetExportStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsDefined(ResultUrl))
+            {
+                writer.WritePropertyName("resultUrl"u8);
+                writer.WriteStringValue(ResultUrl);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetExportStatusResponse IJsonModel<GetExportStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetExportStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetExportStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetExportStatusResponse DeserializeGetExportStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<TextAnalysisAuthoringWarning> warnings = default;
+            IReadOnlyList<TextAnalysisAuthoringError> errors = default;
+            string resultUrl = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringWarning> array = new List<TextAnalysisAuthoringWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringWarning.DeserializeTextAnalysisAuthoringWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringError> array = new List<TextAnalysisAuthoringError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringError.DeserializeTextAnalysisAuthoringError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (property.NameEquals("resultUrl"u8))
+                {
+                    resultUrl = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetExportStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<TextAnalysisAuthoringWarning>(),
+                errors ?? new ChangeTrackingList<TextAnalysisAuthoringError>(),
+                resultUrl,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetExportStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetExportStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetExportStatusResponse IPersistableModel<GetExportStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetExportStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetExportStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetExportStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetExportStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetExportStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportStatusResponse.cs
new file mode 100644
index 000000000000..d0d0489a19e7
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportStatusResponse.cs
@@ -0,0 +1,102 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The GetExportStatusResponse. </summary>
+    public partial class GetExportStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetExportStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetExportStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<TextAnalysisAuthoringWarning>();
+            Errors = new ChangeTrackingList<TextAnalysisAuthoringError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetExportStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="resultUrl"> The URL to use in order to download the exported project. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetExportStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<TextAnalysisAuthoringWarning> warnings, IReadOnlyList<TextAnalysisAuthoringError> errors, string resultUrl, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            ResultUrl = resultUrl;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetExportStatusResponse"/> for deserialization. </summary>
+        internal GetExportStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringError> Errors { get; }
+        /// <summary> The URL to use in order to download the exported project. </summary>
+        public string ResultUrl { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportedModelJobStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportedModelJobStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..eb9d9414036c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportedModelJobStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class GetExportedModelJobStatusResponse : IUtf8JsonSerializable, IJsonModel<GetExportedModelJobStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetExportedModelJobStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetExportedModelJobStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportedModelJobStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetExportedModelJobStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetExportedModelJobStatusResponse IJsonModel<GetExportedModelJobStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportedModelJobStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetExportedModelJobStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetExportedModelJobStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetExportedModelJobStatusResponse DeserializeGetExportedModelJobStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<TextAnalysisAuthoringWarning> warnings = default;
+            IReadOnlyList<TextAnalysisAuthoringError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringWarning> array = new List<TextAnalysisAuthoringWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringWarning.DeserializeTextAnalysisAuthoringWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringError> array = new List<TextAnalysisAuthoringError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringError.DeserializeTextAnalysisAuthoringError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetExportedModelJobStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<TextAnalysisAuthoringWarning>(),
+                errors ?? new ChangeTrackingList<TextAnalysisAuthoringError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetExportedModelJobStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportedModelJobStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetExportedModelJobStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetExportedModelJobStatusResponse IPersistableModel<GetExportedModelJobStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportedModelJobStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetExportedModelJobStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetExportedModelJobStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetExportedModelJobStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetExportedModelJobStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetExportedModelJobStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportedModelJobStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportedModelJobStatusResponse.cs
new file mode 100644
index 000000000000..621658edc8b5
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportedModelJobStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The GetExportedModelJobStatusResponse. </summary>
+    public partial class GetExportedModelJobStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetExportedModelJobStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetExportedModelJobStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<TextAnalysisAuthoringWarning>();
+            Errors = new ChangeTrackingList<TextAnalysisAuthoringError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetExportedModelJobStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetExportedModelJobStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<TextAnalysisAuthoringWarning> warnings, IReadOnlyList<TextAnalysisAuthoringError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetExportedModelJobStatusResponse"/> for deserialization. </summary>
+        internal GetExportedModelJobStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportedModelResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportedModelResponse.Serialization.cs
new file mode 100644
index 000000000000..ec49deb50db7
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportedModelResponse.Serialization.cs
@@ -0,0 +1,173 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class GetExportedModelResponse : IUtf8JsonSerializable, IJsonModel<GetExportedModelResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetExportedModelResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetExportedModelResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportedModelResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetExportedModelResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("modelId"u8);
+            writer.WriteStringValue(ModelId);
+            writer.WritePropertyName("lastTrainedDateTime"u8);
+            writer.WriteStringValue(LastTrainedDateTime, "O");
+            writer.WritePropertyName("lastExportedModelDateTime"u8);
+            writer.WriteStringValue(LastExportedModelDateTime, "O");
+            writer.WritePropertyName("modelExpirationDate"u8);
+            writer.WriteStringValue(ModelExpirationDate, "D");
+            writer.WritePropertyName("modelTrainingConfigVersion"u8);
+            writer.WriteStringValue(ModelTrainingConfigVersion);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetExportedModelResponse IJsonModel<GetExportedModelResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportedModelResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetExportedModelResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetExportedModelResponse(document.RootElement, options);
+        }
+
+        internal static GetExportedModelResponse DeserializeGetExportedModelResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string modelId = default;
+            DateTimeOffset lastTrainedDateTime = default;
+            DateTimeOffset lastExportedModelDateTime = default;
+            DateTimeOffset modelExpirationDate = default;
+            string modelTrainingConfigVersion = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("modelId"u8))
+                {
+                    modelId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("lastTrainedDateTime"u8))
+                {
+                    lastTrainedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastExportedModelDateTime"u8))
+                {
+                    lastExportedModelDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("modelExpirationDate"u8))
+                {
+                    modelExpirationDate = property.Value.GetDateTimeOffset("D");
+                    continue;
+                }
+                if (property.NameEquals("modelTrainingConfigVersion"u8))
+                {
+                    modelTrainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetExportedModelResponse(
+                modelId,
+                lastTrainedDateTime,
+                lastExportedModelDateTime,
+                modelExpirationDate,
+                modelTrainingConfigVersion,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetExportedModelResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportedModelResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetExportedModelResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetExportedModelResponse IPersistableModel<GetExportedModelResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportedModelResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetExportedModelResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetExportedModelResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetExportedModelResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetExportedModelResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetExportedModelResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportedModelResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportedModelResponse.cs
new file mode 100644
index 000000000000..a20988d77a80
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetExportedModelResponse.cs
@@ -0,0 +1,100 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The GetExportedModelResponse. </summary>
+    public partial class GetExportedModelResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetExportedModelResponse"/>. </summary>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastExportedModelDateTime"> The last exported date time of the model. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="modelId"/> or <paramref name="modelTrainingConfigVersion"/> is null. </exception>
+        internal GetExportedModelResponse(string modelId, DateTimeOffset lastTrainedDateTime, DateTimeOffset lastExportedModelDateTime, DateTimeOffset modelExpirationDate, string modelTrainingConfigVersion)
+        {
+            Argument.AssertNotNull(modelId, nameof(modelId));
+            Argument.AssertNotNull(modelTrainingConfigVersion, nameof(modelTrainingConfigVersion));
+
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastExportedModelDateTime = lastExportedModelDateTime;
+            ModelExpirationDate = modelExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetExportedModelResponse"/>. </summary>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastExportedModelDateTime"> The last exported date time of the model. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetExportedModelResponse(string modelId, DateTimeOffset lastTrainedDateTime, DateTimeOffset lastExportedModelDateTime, DateTimeOffset modelExpirationDate, string modelTrainingConfigVersion, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastExportedModelDateTime = lastExportedModelDateTime;
+            ModelExpirationDate = modelExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetExportedModelResponse"/> for deserialization. </summary>
+        internal GetExportedModelResponse()
+        {
+        }
+
+        /// <summary> The model ID. </summary>
+        public string ModelId { get; }
+        /// <summary> The last trained date time of the model. </summary>
+        public DateTimeOffset LastTrainedDateTime { get; }
+        /// <summary> The last exported date time of the model. </summary>
+        public DateTimeOffset LastExportedModelDateTime { get; }
+        /// <summary> The model expiration date. </summary>
+        public DateTimeOffset ModelExpirationDate { get; }
+        /// <summary> The model training config version. </summary>
+        public string ModelTrainingConfigVersion { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetImportStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetImportStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..8427ead7c27e
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetImportStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class GetImportStatusResponse : IUtf8JsonSerializable, IJsonModel<GetImportStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetImportStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetImportStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetImportStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetImportStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetImportStatusResponse IJsonModel<GetImportStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetImportStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetImportStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetImportStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetImportStatusResponse DeserializeGetImportStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<TextAnalysisAuthoringWarning> warnings = default;
+            IReadOnlyList<TextAnalysisAuthoringError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringWarning> array = new List<TextAnalysisAuthoringWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringWarning.DeserializeTextAnalysisAuthoringWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringError> array = new List<TextAnalysisAuthoringError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringError.DeserializeTextAnalysisAuthoringError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetImportStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<TextAnalysisAuthoringWarning>(),
+                errors ?? new ChangeTrackingList<TextAnalysisAuthoringError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetImportStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetImportStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetImportStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetImportStatusResponse IPersistableModel<GetImportStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetImportStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetImportStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetImportStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetImportStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetImportStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetImportStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetImportStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetImportStatusResponse.cs
new file mode 100644
index 000000000000..5822dbfb37eb
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetImportStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The GetImportStatusResponse. </summary>
+    public partial class GetImportStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetImportStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetImportStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<TextAnalysisAuthoringWarning>();
+            Errors = new ChangeTrackingList<TextAnalysisAuthoringError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetImportStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetImportStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<TextAnalysisAuthoringWarning> warnings, IReadOnlyList<TextAnalysisAuthoringError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetImportStatusResponse"/> for deserialization. </summary>
+        internal GetImportStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetLoadSnapshotStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetLoadSnapshotStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..33a21cbd9dd5
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetLoadSnapshotStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class GetLoadSnapshotStatusResponse : IUtf8JsonSerializable, IJsonModel<GetLoadSnapshotStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetLoadSnapshotStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetLoadSnapshotStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetLoadSnapshotStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetLoadSnapshotStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetLoadSnapshotStatusResponse IJsonModel<GetLoadSnapshotStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetLoadSnapshotStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetLoadSnapshotStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetLoadSnapshotStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetLoadSnapshotStatusResponse DeserializeGetLoadSnapshotStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<TextAnalysisAuthoringWarning> warnings = default;
+            IReadOnlyList<TextAnalysisAuthoringError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringWarning> array = new List<TextAnalysisAuthoringWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringWarning.DeserializeTextAnalysisAuthoringWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringError> array = new List<TextAnalysisAuthoringError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringError.DeserializeTextAnalysisAuthoringError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetLoadSnapshotStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<TextAnalysisAuthoringWarning>(),
+                errors ?? new ChangeTrackingList<TextAnalysisAuthoringError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetLoadSnapshotStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetLoadSnapshotStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetLoadSnapshotStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetLoadSnapshotStatusResponse IPersistableModel<GetLoadSnapshotStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetLoadSnapshotStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetLoadSnapshotStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetLoadSnapshotStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetLoadSnapshotStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetLoadSnapshotStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetLoadSnapshotStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetLoadSnapshotStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetLoadSnapshotStatusResponse.cs
new file mode 100644
index 000000000000..b93d7d19dc10
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetLoadSnapshotStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The GetLoadSnapshotStatusResponse. </summary>
+    public partial class GetLoadSnapshotStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetLoadSnapshotStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetLoadSnapshotStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<TextAnalysisAuthoringWarning>();
+            Errors = new ChangeTrackingList<TextAnalysisAuthoringError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetLoadSnapshotStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetLoadSnapshotStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<TextAnalysisAuthoringWarning> warnings, IReadOnlyList<TextAnalysisAuthoringError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetLoadSnapshotStatusResponse"/> for deserialization. </summary>
+        internal GetLoadSnapshotStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetProjectDeletionStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetProjectDeletionStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..3e501ccbde1d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetProjectDeletionStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class GetProjectDeletionStatusResponse : IUtf8JsonSerializable, IJsonModel<GetProjectDeletionStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetProjectDeletionStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetProjectDeletionStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetProjectDeletionStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetProjectDeletionStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetProjectDeletionStatusResponse IJsonModel<GetProjectDeletionStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetProjectDeletionStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetProjectDeletionStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetProjectDeletionStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetProjectDeletionStatusResponse DeserializeGetProjectDeletionStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<TextAnalysisAuthoringWarning> warnings = default;
+            IReadOnlyList<TextAnalysisAuthoringError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringWarning> array = new List<TextAnalysisAuthoringWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringWarning.DeserializeTextAnalysisAuthoringWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringError> array = new List<TextAnalysisAuthoringError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringError.DeserializeTextAnalysisAuthoringError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetProjectDeletionStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<TextAnalysisAuthoringWarning>(),
+                errors ?? new ChangeTrackingList<TextAnalysisAuthoringError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetProjectDeletionStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetProjectDeletionStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetProjectDeletionStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetProjectDeletionStatusResponse IPersistableModel<GetProjectDeletionStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetProjectDeletionStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetProjectDeletionStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetProjectDeletionStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetProjectDeletionStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetProjectDeletionStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetProjectDeletionStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetProjectDeletionStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetProjectDeletionStatusResponse.cs
new file mode 100644
index 000000000000..bf71d4d4eb8e
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetProjectDeletionStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The GetProjectDeletionStatusResponse. </summary>
+    public partial class GetProjectDeletionStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetProjectDeletionStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetProjectDeletionStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<TextAnalysisAuthoringWarning>();
+            Errors = new ChangeTrackingList<TextAnalysisAuthoringError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetProjectDeletionStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetProjectDeletionStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<TextAnalysisAuthoringWarning> warnings, IReadOnlyList<TextAnalysisAuthoringError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetProjectDeletionStatusResponse"/> for deserialization. </summary>
+        internal GetProjectDeletionStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetProjectResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetProjectResponse.Serialization.cs
new file mode 100644
index 000000000000..646012215538
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetProjectResponse.Serialization.cs
@@ -0,0 +1,249 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class GetProjectResponse : IUtf8JsonSerializable, IJsonModel<GetProjectResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetProjectResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetProjectResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetProjectResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetProjectResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastModifiedDateTime"u8);
+            writer.WriteStringValue(LastModifiedDateTime, "O");
+            if (Optional.IsDefined(LastTrainedDateTime))
+            {
+                writer.WritePropertyName("lastTrainedDateTime"u8);
+                writer.WriteStringValue(LastTrainedDateTime.Value, "O");
+            }
+            if (Optional.IsDefined(LastDeployedDateTime))
+            {
+                writer.WritePropertyName("lastDeployedDateTime"u8);
+                writer.WriteStringValue(LastDeployedDateTime.Value, "O");
+            }
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("storageInputContainerName"u8);
+            writer.WriteStringValue(StorageInputContainerName);
+            if (Optional.IsDefined(Settings))
+            {
+                writer.WritePropertyName("settings"u8);
+                writer.WriteObjectValue(Settings, options);
+            }
+            if (Optional.IsDefined(Multilingual))
+            {
+                writer.WritePropertyName("multilingual"u8);
+                writer.WriteBooleanValue(Multilingual.Value);
+            }
+            if (Optional.IsDefined(Description))
+            {
+                writer.WritePropertyName("description"u8);
+                writer.WriteStringValue(Description);
+            }
+            writer.WritePropertyName("language"u8);
+            writer.WriteStringValue(Language);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetProjectResponse IJsonModel<GetProjectResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetProjectResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetProjectResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetProjectResponse(document.RootElement, options);
+        }
+
+        internal static GetProjectResponse DeserializeGetProjectResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastModifiedDateTime = default;
+            DateTimeOffset? lastTrainedDateTime = default;
+            DateTimeOffset? lastDeployedDateTime = default;
+            ProjectKind projectKind = default;
+            string storageInputContainerName = default;
+            ProjectSettings settings = default;
+            bool? multilingual = default;
+            string description = default;
+            string language = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastModifiedDateTime"u8))
+                {
+                    lastModifiedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastTrainedDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    lastTrainedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastDeployedDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    lastDeployedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("storageInputContainerName"u8))
+                {
+                    storageInputContainerName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("settings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    settings = ProjectSettings.DeserializeProjectSettings(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("multilingual"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    multilingual = property.Value.GetBoolean();
+                    continue;
+                }
+                if (property.NameEquals("description"u8))
+                {
+                    description = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetProjectResponse(
+                createdDateTime,
+                lastModifiedDateTime,
+                lastTrainedDateTime,
+                lastDeployedDateTime,
+                projectKind,
+                storageInputContainerName,
+                settings,
+                multilingual,
+                description,
+                language,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetProjectResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetProjectResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetProjectResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetProjectResponse IPersistableModel<GetProjectResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetProjectResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetProjectResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetProjectResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetProjectResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetProjectResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetProjectResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetProjectResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetProjectResponse.cs
new file mode 100644
index 000000000000..7c556b854102
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetProjectResponse.cs
@@ -0,0 +1,129 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The GetProjectResponse. </summary>
+    public partial class GetProjectResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetProjectResponse"/>. </summary>
+        /// <param name="createdDateTime"> Represents the project creation datetime. </param>
+        /// <param name="lastModifiedDateTime"> Represents the project last modification datetime. </param>
+        /// <param name="projectKind"> The project kind. </param>
+        /// <param name="storageInputContainerName"> The storage container name. </param>
+        /// <param name="language">
+        /// The project language. This is BCP-47 representation of a language. For example,
+        /// use "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="storageInputContainerName"/> or <paramref name="language"/> is null. </exception>
+        internal GetProjectResponse(DateTimeOffset createdDateTime, DateTimeOffset lastModifiedDateTime, ProjectKind projectKind, string storageInputContainerName, string language)
+        {
+            Argument.AssertNotNull(storageInputContainerName, nameof(storageInputContainerName));
+            Argument.AssertNotNull(language, nameof(language));
+
+            CreatedDateTime = createdDateTime;
+            LastModifiedDateTime = lastModifiedDateTime;
+            ProjectKind = projectKind;
+            StorageInputContainerName = storageInputContainerName;
+            Language = language;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetProjectResponse"/>. </summary>
+        /// <param name="createdDateTime"> Represents the project creation datetime. </param>
+        /// <param name="lastModifiedDateTime"> Represents the project last modification datetime. </param>
+        /// <param name="lastTrainedDateTime"> Represents the project last training datetime. </param>
+        /// <param name="lastDeployedDateTime"> Represents the project last deployment datetime. </param>
+        /// <param name="projectKind"> The project kind. </param>
+        /// <param name="storageInputContainerName"> The storage container name. </param>
+        /// <param name="settings"> The project settings. </param>
+        /// <param name="multilingual"> Whether the project would be used for multiple languages or not. </param>
+        /// <param name="description"> The project description. </param>
+        /// <param name="language">
+        /// The project language. This is BCP-47 representation of a language. For example,
+        /// use "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetProjectResponse(DateTimeOffset createdDateTime, DateTimeOffset lastModifiedDateTime, DateTimeOffset? lastTrainedDateTime, DateTimeOffset? lastDeployedDateTime, ProjectKind projectKind, string storageInputContainerName, ProjectSettings settings, bool? multilingual, string description, string language, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastModifiedDateTime = lastModifiedDateTime;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastDeployedDateTime = lastDeployedDateTime;
+            ProjectKind = projectKind;
+            StorageInputContainerName = storageInputContainerName;
+            Settings = settings;
+            Multilingual = multilingual;
+            Description = description;
+            Language = language;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetProjectResponse"/> for deserialization. </summary>
+        internal GetProjectResponse()
+        {
+        }
+
+        /// <summary> Represents the project creation datetime. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> Represents the project last modification datetime. </summary>
+        public DateTimeOffset LastModifiedDateTime { get; }
+        /// <summary> Represents the project last training datetime. </summary>
+        public DateTimeOffset? LastTrainedDateTime { get; }
+        /// <summary> Represents the project last deployment datetime. </summary>
+        public DateTimeOffset? LastDeployedDateTime { get; }
+        /// <summary> The project kind. </summary>
+        public ProjectKind ProjectKind { get; }
+        /// <summary> The storage container name. </summary>
+        public string StorageInputContainerName { get; }
+        /// <summary> The project settings. </summary>
+        public ProjectSettings Settings { get; }
+        /// <summary> Whether the project would be used for multiple languages or not. </summary>
+        public bool? Multilingual { get; }
+        /// <summary> The project description. </summary>
+        public string Description { get; }
+        /// <summary>
+        /// The project language. This is BCP-47 representation of a language. For example,
+        /// use "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </summary>
+        public string Language { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetSwapDeploymentsStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetSwapDeploymentsStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..64f2fa580019
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetSwapDeploymentsStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class GetSwapDeploymentsStatusResponse : IUtf8JsonSerializable, IJsonModel<GetSwapDeploymentsStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetSwapDeploymentsStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetSwapDeploymentsStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetSwapDeploymentsStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetSwapDeploymentsStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetSwapDeploymentsStatusResponse IJsonModel<GetSwapDeploymentsStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetSwapDeploymentsStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetSwapDeploymentsStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetSwapDeploymentsStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetSwapDeploymentsStatusResponse DeserializeGetSwapDeploymentsStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<TextAnalysisAuthoringWarning> warnings = default;
+            IReadOnlyList<TextAnalysisAuthoringError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringWarning> array = new List<TextAnalysisAuthoringWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringWarning.DeserializeTextAnalysisAuthoringWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringError> array = new List<TextAnalysisAuthoringError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringError.DeserializeTextAnalysisAuthoringError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetSwapDeploymentsStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<TextAnalysisAuthoringWarning>(),
+                errors ?? new ChangeTrackingList<TextAnalysisAuthoringError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetSwapDeploymentsStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetSwapDeploymentsStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetSwapDeploymentsStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetSwapDeploymentsStatusResponse IPersistableModel<GetSwapDeploymentsStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetSwapDeploymentsStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetSwapDeploymentsStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetSwapDeploymentsStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetSwapDeploymentsStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetSwapDeploymentsStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetSwapDeploymentsStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetSwapDeploymentsStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetSwapDeploymentsStatusResponse.cs
new file mode 100644
index 000000000000..75514649c26d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetSwapDeploymentsStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The GetSwapDeploymentsStatusResponse. </summary>
+    public partial class GetSwapDeploymentsStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetSwapDeploymentsStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetSwapDeploymentsStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<TextAnalysisAuthoringWarning>();
+            Errors = new ChangeTrackingList<TextAnalysisAuthoringError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetSwapDeploymentsStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetSwapDeploymentsStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<TextAnalysisAuthoringWarning> warnings, IReadOnlyList<TextAnalysisAuthoringError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetSwapDeploymentsStatusResponse"/> for deserialization. </summary>
+        internal GetSwapDeploymentsStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetTrainedModelResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetTrainedModelResponse.Serialization.cs
new file mode 100644
index 000000000000..2d94dbcd319e
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetTrainedModelResponse.Serialization.cs
@@ -0,0 +1,182 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class GetTrainedModelResponse : IUtf8JsonSerializable, IJsonModel<GetTrainedModelResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetTrainedModelResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetTrainedModelResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetTrainedModelResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetTrainedModelResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("modelId"u8);
+            writer.WriteStringValue(ModelId);
+            writer.WritePropertyName("lastTrainedDateTime"u8);
+            writer.WriteStringValue(LastTrainedDateTime, "O");
+            writer.WritePropertyName("lastTrainingDurationInSeconds"u8);
+            writer.WriteNumberValue(LastTrainingDurationInSeconds);
+            writer.WritePropertyName("modelExpirationDate"u8);
+            writer.WriteStringValue(ModelExpirationDate, "D");
+            writer.WritePropertyName("modelTrainingConfigVersion"u8);
+            writer.WriteStringValue(ModelTrainingConfigVersion);
+            writer.WritePropertyName("hasSnapshot"u8);
+            writer.WriteBooleanValue(HasSnapshot);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetTrainedModelResponse IJsonModel<GetTrainedModelResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetTrainedModelResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetTrainedModelResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetTrainedModelResponse(document.RootElement, options);
+        }
+
+        internal static GetTrainedModelResponse DeserializeGetTrainedModelResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string modelId = default;
+            DateTimeOffset lastTrainedDateTime = default;
+            int lastTrainingDurationInSeconds = default;
+            DateTimeOffset modelExpirationDate = default;
+            string modelTrainingConfigVersion = default;
+            bool hasSnapshot = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("modelId"u8))
+                {
+                    modelId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("lastTrainedDateTime"u8))
+                {
+                    lastTrainedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastTrainingDurationInSeconds"u8))
+                {
+                    lastTrainingDurationInSeconds = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("modelExpirationDate"u8))
+                {
+                    modelExpirationDate = property.Value.GetDateTimeOffset("D");
+                    continue;
+                }
+                if (property.NameEquals("modelTrainingConfigVersion"u8))
+                {
+                    modelTrainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("hasSnapshot"u8))
+                {
+                    hasSnapshot = property.Value.GetBoolean();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetTrainedModelResponse(
+                modelId,
+                lastTrainedDateTime,
+                lastTrainingDurationInSeconds,
+                modelExpirationDate,
+                modelTrainingConfigVersion,
+                hasSnapshot,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetTrainedModelResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetTrainedModelResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetTrainedModelResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetTrainedModelResponse IPersistableModel<GetTrainedModelResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetTrainedModelResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetTrainedModelResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetTrainedModelResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetTrainedModelResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetTrainedModelResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetTrainedModelResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetTrainedModelResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetTrainedModelResponse.cs
new file mode 100644
index 000000000000..4d5248f40e5c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetTrainedModelResponse.cs
@@ -0,0 +1,106 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The GetTrainedModelResponse. </summary>
+    public partial class GetTrainedModelResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetTrainedModelResponse"/>. </summary>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastTrainingDurationInSeconds"> The duration of the model's last training request in seconds. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <param name="hasSnapshot"> The flag to indicate if the trained model has a snapshot ready. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="modelId"/> or <paramref name="modelTrainingConfigVersion"/> is null. </exception>
+        internal GetTrainedModelResponse(string modelId, DateTimeOffset lastTrainedDateTime, int lastTrainingDurationInSeconds, DateTimeOffset modelExpirationDate, string modelTrainingConfigVersion, bool hasSnapshot)
+        {
+            Argument.AssertNotNull(modelId, nameof(modelId));
+            Argument.AssertNotNull(modelTrainingConfigVersion, nameof(modelTrainingConfigVersion));
+
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastTrainingDurationInSeconds = lastTrainingDurationInSeconds;
+            ModelExpirationDate = modelExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            HasSnapshot = hasSnapshot;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetTrainedModelResponse"/>. </summary>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastTrainingDurationInSeconds"> The duration of the model's last training request in seconds. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <param name="hasSnapshot"> The flag to indicate if the trained model has a snapshot ready. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetTrainedModelResponse(string modelId, DateTimeOffset lastTrainedDateTime, int lastTrainingDurationInSeconds, DateTimeOffset modelExpirationDate, string modelTrainingConfigVersion, bool hasSnapshot, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastTrainingDurationInSeconds = lastTrainingDurationInSeconds;
+            ModelExpirationDate = modelExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            HasSnapshot = hasSnapshot;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetTrainedModelResponse"/> for deserialization. </summary>
+        internal GetTrainedModelResponse()
+        {
+        }
+
+        /// <summary> The model ID. </summary>
+        public string ModelId { get; }
+        /// <summary> The last trained date time of the model. </summary>
+        public DateTimeOffset LastTrainedDateTime { get; }
+        /// <summary> The duration of the model's last training request in seconds. </summary>
+        public int LastTrainingDurationInSeconds { get; }
+        /// <summary> The model expiration date. </summary>
+        public DateTimeOffset ModelExpirationDate { get; }
+        /// <summary> The model training config version. </summary>
+        public string ModelTrainingConfigVersion { get; }
+        /// <summary> The flag to indicate if the trained model has a snapshot ready. </summary>
+        public bool HasSnapshot { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetTrainingStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetTrainingStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..e1a2ac07cbf2
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetTrainingStatusResponse.Serialization.cs
@@ -0,0 +1,232 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class GetTrainingStatusResponse : IUtf8JsonSerializable, IJsonModel<GetTrainingStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetTrainingStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetTrainingStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetTrainingStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetTrainingStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            writer.WritePropertyName("result"u8);
+            writer.WriteObjectValue(Result, options);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetTrainingStatusResponse IJsonModel<GetTrainingStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetTrainingStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetTrainingStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetTrainingStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetTrainingStatusResponse DeserializeGetTrainingStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<TextAnalysisAuthoringWarning> warnings = default;
+            IReadOnlyList<TextAnalysisAuthoringError> errors = default;
+            TrainingJobResult result = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringWarning> array = new List<TextAnalysisAuthoringWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringWarning.DeserializeTextAnalysisAuthoringWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringError> array = new List<TextAnalysisAuthoringError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringError.DeserializeTextAnalysisAuthoringError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (property.NameEquals("result"u8))
+                {
+                    result = TrainingJobResult.DeserializeTrainingJobResult(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetTrainingStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<TextAnalysisAuthoringWarning>(),
+                errors ?? new ChangeTrackingList<TextAnalysisAuthoringError>(),
+                result,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetTrainingStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetTrainingStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetTrainingStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetTrainingStatusResponse IPersistableModel<GetTrainingStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetTrainingStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetTrainingStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetTrainingStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetTrainingStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetTrainingStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetTrainingStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetTrainingStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetTrainingStatusResponse.cs
new file mode 100644
index 000000000000..d15140bb0ceb
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetTrainingStatusResponse.cs
@@ -0,0 +1,107 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The GetTrainingStatusResponse. </summary>
+    public partial class GetTrainingStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetTrainingStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="result"> Represents training tasks detailed result. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="result"/> is null. </exception>
+        internal GetTrainingStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status, TrainingJobResult result)
+        {
+            Argument.AssertNotNull(result, nameof(result));
+
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<TextAnalysisAuthoringWarning>();
+            Errors = new ChangeTrackingList<TextAnalysisAuthoringError>();
+            Result = result;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetTrainingStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="result"> Represents training tasks detailed result. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetTrainingStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<TextAnalysisAuthoringWarning> warnings, IReadOnlyList<TextAnalysisAuthoringError> errors, TrainingJobResult result, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            Result = result;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetTrainingStatusResponse"/> for deserialization. </summary>
+        internal GetTrainingStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringError> Errors { get; }
+        /// <summary> Represents training tasks detailed result. </summary>
+        public TrainingJobResult Result { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetUnassignDeploymentResourcesStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetUnassignDeploymentResourcesStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..147da165de83
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetUnassignDeploymentResourcesStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class GetUnassignDeploymentResourcesStatusResponse : IUtf8JsonSerializable, IJsonModel<GetUnassignDeploymentResourcesStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetUnassignDeploymentResourcesStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetUnassignDeploymentResourcesStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetUnassignDeploymentResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetUnassignDeploymentResourcesStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetUnassignDeploymentResourcesStatusResponse IJsonModel<GetUnassignDeploymentResourcesStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetUnassignDeploymentResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetUnassignDeploymentResourcesStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetUnassignDeploymentResourcesStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetUnassignDeploymentResourcesStatusResponse DeserializeGetUnassignDeploymentResourcesStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<TextAnalysisAuthoringWarning> warnings = default;
+            IReadOnlyList<TextAnalysisAuthoringError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringWarning> array = new List<TextAnalysisAuthoringWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringWarning.DeserializeTextAnalysisAuthoringWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringError> array = new List<TextAnalysisAuthoringError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringError.DeserializeTextAnalysisAuthoringError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetUnassignDeploymentResourcesStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<TextAnalysisAuthoringWarning>(),
+                errors ?? new ChangeTrackingList<TextAnalysisAuthoringError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetUnassignDeploymentResourcesStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetUnassignDeploymentResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetUnassignDeploymentResourcesStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetUnassignDeploymentResourcesStatusResponse IPersistableModel<GetUnassignDeploymentResourcesStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetUnassignDeploymentResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetUnassignDeploymentResourcesStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetUnassignDeploymentResourcesStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetUnassignDeploymentResourcesStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetUnassignDeploymentResourcesStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetUnassignDeploymentResourcesStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetUnassignDeploymentResourcesStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetUnassignDeploymentResourcesStatusResponse.cs
new file mode 100644
index 000000000000..688f6dbad097
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/GetUnassignDeploymentResourcesStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The GetUnassignDeploymentResourcesStatusResponse. </summary>
+    public partial class GetUnassignDeploymentResourcesStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetUnassignDeploymentResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetUnassignDeploymentResourcesStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<TextAnalysisAuthoringWarning>();
+            Errors = new ChangeTrackingList<TextAnalysisAuthoringError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetUnassignDeploymentResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetUnassignDeploymentResourcesStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<TextAnalysisAuthoringWarning> warnings, IReadOnlyList<TextAnalysisAuthoringError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetUnassignDeploymentResourcesStatusResponse"/> for deserialization. </summary>
+        internal GetUnassignDeploymentResourcesStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/InnerErrorCode.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/InnerErrorCode.cs
new file mode 100644
index 000000000000..6482736de06e
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/InnerErrorCode.cs
@@ -0,0 +1,87 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Human-readable error code. </summary>
+    public readonly partial struct InnerErrorCode : IEquatable<InnerErrorCode>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="InnerErrorCode"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public InnerErrorCode(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string InvalidRequestValue = "InvalidRequest";
+        private const string InvalidParameterValueValue = "InvalidParameterValue";
+        private const string KnowledgeBaseNotFoundValue = "KnowledgeBaseNotFound";
+        private const string AzureCognitiveSearchNotFoundValue = "AzureCognitiveSearchNotFound";
+        private const string AzureCognitiveSearchThrottlingValue = "AzureCognitiveSearchThrottling";
+        private const string ExtractionFailureValue = "ExtractionFailure";
+        private const string InvalidRequestBodyFormatValue = "InvalidRequestBodyFormat";
+        private const string EmptyRequestValue = "EmptyRequest";
+        private const string MissingInputDocumentsValue = "MissingInputDocuments";
+        private const string InvalidDocumentValue = "InvalidDocument";
+        private const string ModelVersionIncorrectValue = "ModelVersionIncorrect";
+        private const string InvalidDocumentBatchValue = "InvalidDocumentBatch";
+        private const string UnsupportedLanguageCodeValue = "UnsupportedLanguageCode";
+        private const string InvalidCountryHintValue = "InvalidCountryHint";
+
+        /// <summary> InvalidRequest. </summary>
+        public static InnerErrorCode InvalidRequest { get; } = new InnerErrorCode(InvalidRequestValue);
+        /// <summary> InvalidParameterValue. </summary>
+        public static InnerErrorCode InvalidParameterValue { get; } = new InnerErrorCode(InvalidParameterValueValue);
+        /// <summary> KnowledgeBaseNotFound. </summary>
+        public static InnerErrorCode KnowledgeBaseNotFound { get; } = new InnerErrorCode(KnowledgeBaseNotFoundValue);
+        /// <summary> AzureCognitiveSearchNotFound. </summary>
+        public static InnerErrorCode AzureCognitiveSearchNotFound { get; } = new InnerErrorCode(AzureCognitiveSearchNotFoundValue);
+        /// <summary> AzureCognitiveSearchThrottling. </summary>
+        public static InnerErrorCode AzureCognitiveSearchThrottling { get; } = new InnerErrorCode(AzureCognitiveSearchThrottlingValue);
+        /// <summary> ExtractionFailure. </summary>
+        public static InnerErrorCode ExtractionFailure { get; } = new InnerErrorCode(ExtractionFailureValue);
+        /// <summary> InvalidRequestBodyFormat. </summary>
+        public static InnerErrorCode InvalidRequestBodyFormat { get; } = new InnerErrorCode(InvalidRequestBodyFormatValue);
+        /// <summary> EmptyRequest. </summary>
+        public static InnerErrorCode EmptyRequest { get; } = new InnerErrorCode(EmptyRequestValue);
+        /// <summary> MissingInputDocuments. </summary>
+        public static InnerErrorCode MissingInputDocuments { get; } = new InnerErrorCode(MissingInputDocumentsValue);
+        /// <summary> InvalidDocument. </summary>
+        public static InnerErrorCode InvalidDocument { get; } = new InnerErrorCode(InvalidDocumentValue);
+        /// <summary> ModelVersionIncorrect. </summary>
+        public static InnerErrorCode ModelVersionIncorrect { get; } = new InnerErrorCode(ModelVersionIncorrectValue);
+        /// <summary> InvalidDocumentBatch. </summary>
+        public static InnerErrorCode InvalidDocumentBatch { get; } = new InnerErrorCode(InvalidDocumentBatchValue);
+        /// <summary> UnsupportedLanguageCode. </summary>
+        public static InnerErrorCode UnsupportedLanguageCode { get; } = new InnerErrorCode(UnsupportedLanguageCodeValue);
+        /// <summary> InvalidCountryHint. </summary>
+        public static InnerErrorCode InvalidCountryHint { get; } = new InnerErrorCode(InvalidCountryHintValue);
+        /// <summary> Determines if two <see cref="InnerErrorCode"/> values are the same. </summary>
+        public static bool operator ==(InnerErrorCode left, InnerErrorCode right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="InnerErrorCode"/> values are not the same. </summary>
+        public static bool operator !=(InnerErrorCode left, InnerErrorCode right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="InnerErrorCode"/>. </summary>
+        public static implicit operator InnerErrorCode(string value) => new InnerErrorCode(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is InnerErrorCode other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(InnerErrorCode other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/InnerErrorModel.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/InnerErrorModel.Serialization.cs
new file mode 100644
index 000000000000..260685a94ecd
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/InnerErrorModel.Serialization.cs
@@ -0,0 +1,201 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class InnerErrorModel : IUtf8JsonSerializable, IJsonModel<InnerErrorModel>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<InnerErrorModel>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<InnerErrorModel>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<InnerErrorModel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(InnerErrorModel)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("code"u8);
+            writer.WriteStringValue(Code.ToString());
+            writer.WritePropertyName("message"u8);
+            writer.WriteStringValue(Message);
+            if (Optional.IsCollectionDefined(Details))
+            {
+                writer.WritePropertyName("details"u8);
+                writer.WriteStartObject();
+                foreach (var item in Details)
+                {
+                    writer.WritePropertyName(item.Key);
+                    writer.WriteStringValue(item.Value);
+                }
+                writer.WriteEndObject();
+            }
+            if (Optional.IsDefined(Target))
+            {
+                writer.WritePropertyName("target"u8);
+                writer.WriteStringValue(Target);
+            }
+            if (Optional.IsDefined(Innererror))
+            {
+                writer.WritePropertyName("innererror"u8);
+                writer.WriteObjectValue(Innererror, options);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        InnerErrorModel IJsonModel<InnerErrorModel>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<InnerErrorModel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(InnerErrorModel)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeInnerErrorModel(document.RootElement, options);
+        }
+
+        internal static InnerErrorModel DeserializeInnerErrorModel(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            InnerErrorCode code = default;
+            string message = default;
+            IReadOnlyDictionary<string, string> details = default;
+            string target = default;
+            InnerErrorModel innererror = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("code"u8))
+                {
+                    code = new InnerErrorCode(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("message"u8))
+                {
+                    message = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("details"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    Dictionary<string, string> dictionary = new Dictionary<string, string>();
+                    foreach (var property0 in property.Value.EnumerateObject())
+                    {
+                        dictionary.Add(property0.Name, property0.Value.GetString());
+                    }
+                    details = dictionary;
+                    continue;
+                }
+                if (property.NameEquals("target"u8))
+                {
+                    target = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("innererror"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    innererror = DeserializeInnerErrorModel(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new InnerErrorModel(
+                code,
+                message,
+                details ?? new ChangeTrackingDictionary<string, string>(),
+                target,
+                innererror,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<InnerErrorModel>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<InnerErrorModel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(InnerErrorModel)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        InnerErrorModel IPersistableModel<InnerErrorModel>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<InnerErrorModel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeInnerErrorModel(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(InnerErrorModel)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<InnerErrorModel>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static InnerErrorModel FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeInnerErrorModel(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/InnerErrorModel.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/InnerErrorModel.cs
new file mode 100644
index 000000000000..7e49119ac32f
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/InnerErrorModel.cs
@@ -0,0 +1,104 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// An object containing more specific information about the error. As per
+    /// Microsoft One API guidelines -
+    /// https://github.com/Microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses.
+    /// </summary>
+    public partial class InnerErrorModel
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="InnerErrorModel"/>. </summary>
+        /// <param name="code"> One of a server-defined set of error codes. </param>
+        /// <param name="message"> Error message. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="message"/> is null. </exception>
+        internal InnerErrorModel(InnerErrorCode code, string message)
+        {
+            Argument.AssertNotNull(message, nameof(message));
+
+            Code = code;
+            Message = message;
+            Details = new ChangeTrackingDictionary<string, string>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="InnerErrorModel"/>. </summary>
+        /// <param name="code"> One of a server-defined set of error codes. </param>
+        /// <param name="message"> Error message. </param>
+        /// <param name="details"> Error details. </param>
+        /// <param name="target"> Error target. </param>
+        /// <param name="innererror">
+        /// An object containing more specific information than the current object about
+        /// the error.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal InnerErrorModel(InnerErrorCode code, string message, IReadOnlyDictionary<string, string> details, string target, InnerErrorModel innererror, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Code = code;
+            Message = message;
+            Details = details;
+            Target = target;
+            Innererror = innererror;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="InnerErrorModel"/> for deserialization. </summary>
+        internal InnerErrorModel()
+        {
+        }
+
+        /// <summary> One of a server-defined set of error codes. </summary>
+        public InnerErrorCode Code { get; }
+        /// <summary> Error message. </summary>
+        public string Message { get; }
+        /// <summary> Error details. </summary>
+        public IReadOnlyDictionary<string, string> Details { get; }
+        /// <summary> Error target. </summary>
+        public string Target { get; }
+        /// <summary>
+        /// An object containing more specific information than the current object about
+        /// the error.
+        /// </summary>
+        public InnerErrorModel Innererror { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/JobStatus.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/JobStatus.cs
new file mode 100644
index 000000000000..80722e496fd1
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/JobStatus.cs
@@ -0,0 +1,66 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The JobStatus. </summary>
+    public readonly partial struct JobStatus : IEquatable<JobStatus>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="JobStatus"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public JobStatus(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string NotStartedValue = "notStarted";
+        private const string RunningValue = "running";
+        private const string SucceededValue = "succeeded";
+        private const string FailedValue = "failed";
+        private const string CancelledValue = "cancelled";
+        private const string CancellingValue = "cancelling";
+        private const string PartiallyCompletedValue = "partiallyCompleted";
+
+        /// <summary> notStarted. </summary>
+        public static JobStatus NotStarted { get; } = new JobStatus(NotStartedValue);
+        /// <summary> running. </summary>
+        public static JobStatus Running { get; } = new JobStatus(RunningValue);
+        /// <summary> succeeded. </summary>
+        public static JobStatus Succeeded { get; } = new JobStatus(SucceededValue);
+        /// <summary> failed. </summary>
+        public static JobStatus Failed { get; } = new JobStatus(FailedValue);
+        /// <summary> cancelled. </summary>
+        public static JobStatus Cancelled { get; } = new JobStatus(CancelledValue);
+        /// <summary> cancelling. </summary>
+        public static JobStatus Cancelling { get; } = new JobStatus(CancellingValue);
+        /// <summary> partiallyCompleted. </summary>
+        public static JobStatus PartiallyCompleted { get; } = new JobStatus(PartiallyCompletedValue);
+        /// <summary> Determines if two <see cref="JobStatus"/> values are the same. </summary>
+        public static bool operator ==(JobStatus left, JobStatus right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="JobStatus"/> values are not the same. </summary>
+        public static bool operator !=(JobStatus left, JobStatus right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="JobStatus"/>. </summary>
+        public static implicit operator JobStatus(string value) => new JobStatus(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is JobStatus other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(JobStatus other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ModelFile.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ModelFile.Serialization.cs
new file mode 100644
index 000000000000..1d502fa84d6b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ModelFile.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ModelFile : IUtf8JsonSerializable, IJsonModel<ModelFile>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ModelFile>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ModelFile>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ModelFile>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ModelFile)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("name"u8);
+            writer.WriteStringValue(Name);
+            writer.WritePropertyName("contentUri"u8);
+            writer.WriteStringValue(ContentUri.AbsoluteUri);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ModelFile IJsonModel<ModelFile>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ModelFile>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ModelFile)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeModelFile(document.RootElement, options);
+        }
+
+        internal static ModelFile DeserializeModelFile(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string name = default;
+            Uri contentUri = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("name"u8))
+                {
+                    name = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("contentUri"u8))
+                {
+                    contentUri = new Uri(property.Value.GetString());
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ModelFile(name, contentUri, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ModelFile>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ModelFile>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ModelFile)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ModelFile IPersistableModel<ModelFile>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ModelFile>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeModelFile(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ModelFile)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ModelFile>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ModelFile FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeModelFile(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ModelFile.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ModelFile.cs
new file mode 100644
index 000000000000..9c27833ecf41
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ModelFile.cs
@@ -0,0 +1,82 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the properties for the model file. </summary>
+    public partial class ModelFile
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ModelFile"/>. </summary>
+        /// <param name="name"> The name of the file. </param>
+        /// <param name="contentUri"> The URI to retrieve the content of the file. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="name"/> or <paramref name="contentUri"/> is null. </exception>
+        internal ModelFile(string name, Uri contentUri)
+        {
+            Argument.AssertNotNull(name, nameof(name));
+            Argument.AssertNotNull(contentUri, nameof(contentUri));
+
+            Name = name;
+            ContentUri = contentUri;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ModelFile"/>. </summary>
+        /// <param name="name"> The name of the file. </param>
+        /// <param name="contentUri"> The URI to retrieve the content of the file. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ModelFile(string name, Uri contentUri, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Name = name;
+            ContentUri = contentUri;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ModelFile"/> for deserialization. </summary>
+        internal ModelFile()
+        {
+        }
+
+        /// <summary> The name of the file. </summary>
+        public string Name { get; }
+        /// <summary> The URI to retrieve the content of the file. </summary>
+        public Uri ContentUri { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/MultiLabelClassEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/MultiLabelClassEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..9865214a728b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/MultiLabelClassEvaluationSummary.Serialization.cs
@@ -0,0 +1,191 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class MultiLabelClassEvaluationSummary : IUtf8JsonSerializable, IJsonModel<MultiLabelClassEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<MultiLabelClassEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<MultiLabelClassEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<MultiLabelClassEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(MultiLabelClassEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("f1"u8);
+            writer.WriteNumberValue(F1);
+            writer.WritePropertyName("precision"u8);
+            writer.WriteNumberValue(Precision);
+            writer.WritePropertyName("recall"u8);
+            writer.WriteNumberValue(Recall);
+            writer.WritePropertyName("truePositiveCount"u8);
+            writer.WriteNumberValue(TruePositiveCount);
+            writer.WritePropertyName("trueNegativeCount"u8);
+            writer.WriteNumberValue(TrueNegativeCount);
+            writer.WritePropertyName("falsePositiveCount"u8);
+            writer.WriteNumberValue(FalsePositiveCount);
+            writer.WritePropertyName("falseNegativeCount"u8);
+            writer.WriteNumberValue(FalseNegativeCount);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        MultiLabelClassEvaluationSummary IJsonModel<MultiLabelClassEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<MultiLabelClassEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(MultiLabelClassEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeMultiLabelClassEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static MultiLabelClassEvaluationSummary DeserializeMultiLabelClassEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            double f1 = default;
+            double precision = default;
+            double recall = default;
+            int truePositiveCount = default;
+            int trueNegativeCount = default;
+            int falsePositiveCount = default;
+            int falseNegativeCount = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("f1"u8))
+                {
+                    f1 = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("precision"u8))
+                {
+                    precision = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("recall"u8))
+                {
+                    recall = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("truePositiveCount"u8))
+                {
+                    truePositiveCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("trueNegativeCount"u8))
+                {
+                    trueNegativeCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("falsePositiveCount"u8))
+                {
+                    falsePositiveCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("falseNegativeCount"u8))
+                {
+                    falseNegativeCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new MultiLabelClassEvaluationSummary(
+                f1,
+                precision,
+                recall,
+                truePositiveCount,
+                trueNegativeCount,
+                falsePositiveCount,
+                falseNegativeCount,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<MultiLabelClassEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<MultiLabelClassEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(MultiLabelClassEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        MultiLabelClassEvaluationSummary IPersistableModel<MultiLabelClassEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<MultiLabelClassEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeMultiLabelClassEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(MultiLabelClassEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<MultiLabelClassEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static MultiLabelClassEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeMultiLabelClassEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/MultiLabelClassEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/MultiLabelClassEvaluationSummary.cs
new file mode 100644
index 000000000000..fc959e9dcc9f
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/MultiLabelClassEvaluationSummary.cs
@@ -0,0 +1,111 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents the evaluation summary of a class in a multi-label classification
+    /// project.
+    /// </summary>
+    public partial class MultiLabelClassEvaluationSummary
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="MultiLabelClassEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        internal MultiLabelClassEvaluationSummary(double f1, double precision, double recall, int truePositiveCount, int trueNegativeCount, int falsePositiveCount, int falseNegativeCount)
+        {
+            F1 = f1;
+            Precision = precision;
+            Recall = recall;
+            TruePositiveCount = truePositiveCount;
+            TrueNegativeCount = trueNegativeCount;
+            FalsePositiveCount = falsePositiveCount;
+            FalseNegativeCount = falseNegativeCount;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="MultiLabelClassEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal MultiLabelClassEvaluationSummary(double f1, double precision, double recall, int truePositiveCount, int trueNegativeCount, int falsePositiveCount, int falseNegativeCount, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            F1 = f1;
+            Precision = precision;
+            Recall = recall;
+            TruePositiveCount = truePositiveCount;
+            TrueNegativeCount = trueNegativeCount;
+            FalsePositiveCount = falsePositiveCount;
+            FalseNegativeCount = falseNegativeCount;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="MultiLabelClassEvaluationSummary"/> for deserialization. </summary>
+        internal MultiLabelClassEvaluationSummary()
+        {
+        }
+
+        /// <summary> Represents the model precision. </summary>
+        public double F1 { get; }
+        /// <summary> Represents the model recall. </summary>
+        public double Precision { get; }
+        /// <summary> Represents the model F1 score. </summary>
+        public double Recall { get; }
+        /// <summary> Represents the count of true positive. </summary>
+        public int TruePositiveCount { get; }
+        /// <summary> Represents the count of true negative. </summary>
+        public int TrueNegativeCount { get; }
+        /// <summary> Represents the count of false positive. </summary>
+        public int FalsePositiveCount { get; }
+        /// <summary> Represents the count of false negative. </summary>
+        public int FalseNegativeCount { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/MultiLabelClassificationEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/MultiLabelClassificationEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..57d2ecd6b818
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/MultiLabelClassificationEvaluationSummary.Serialization.cs
@@ -0,0 +1,202 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class MultiLabelClassificationEvaluationSummary : IUtf8JsonSerializable, IJsonModel<MultiLabelClassificationEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<MultiLabelClassificationEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<MultiLabelClassificationEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<MultiLabelClassificationEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(MultiLabelClassificationEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("classes"u8);
+            writer.WriteStartObject();
+            foreach (var item in Classes)
+            {
+                writer.WritePropertyName(item.Key);
+                writer.WriteObjectValue(item.Value, options);
+            }
+            writer.WriteEndObject();
+            writer.WritePropertyName("microF1"u8);
+            writer.WriteNumberValue(MicroF1);
+            writer.WritePropertyName("microPrecision"u8);
+            writer.WriteNumberValue(MicroPrecision);
+            writer.WritePropertyName("microRecall"u8);
+            writer.WriteNumberValue(MicroRecall);
+            writer.WritePropertyName("macroF1"u8);
+            writer.WriteNumberValue(MacroF1);
+            writer.WritePropertyName("macroPrecision"u8);
+            writer.WriteNumberValue(MacroPrecision);
+            writer.WritePropertyName("macroRecall"u8);
+            writer.WriteNumberValue(MacroRecall);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        MultiLabelClassificationEvaluationSummary IJsonModel<MultiLabelClassificationEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<MultiLabelClassificationEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(MultiLabelClassificationEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeMultiLabelClassificationEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static MultiLabelClassificationEvaluationSummary DeserializeMultiLabelClassificationEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IReadOnlyDictionary<string, MultiLabelClassEvaluationSummary> classes = default;
+            float microF1 = default;
+            float microPrecision = default;
+            float microRecall = default;
+            float macroF1 = default;
+            float macroPrecision = default;
+            float macroRecall = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("classes"u8))
+                {
+                    Dictionary<string, MultiLabelClassEvaluationSummary> dictionary = new Dictionary<string, MultiLabelClassEvaluationSummary>();
+                    foreach (var property0 in property.Value.EnumerateObject())
+                    {
+                        dictionary.Add(property0.Name, MultiLabelClassEvaluationSummary.DeserializeMultiLabelClassEvaluationSummary(property0.Value, options));
+                    }
+                    classes = dictionary;
+                    continue;
+                }
+                if (property.NameEquals("microF1"u8))
+                {
+                    microF1 = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("microPrecision"u8))
+                {
+                    microPrecision = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("microRecall"u8))
+                {
+                    microRecall = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroF1"u8))
+                {
+                    macroF1 = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroPrecision"u8))
+                {
+                    macroPrecision = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroRecall"u8))
+                {
+                    macroRecall = property.Value.GetSingle();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new MultiLabelClassificationEvaluationSummary(
+                classes,
+                microF1,
+                microPrecision,
+                microRecall,
+                macroF1,
+                macroPrecision,
+                macroRecall,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<MultiLabelClassificationEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<MultiLabelClassificationEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(MultiLabelClassificationEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        MultiLabelClassificationEvaluationSummary IPersistableModel<MultiLabelClassificationEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<MultiLabelClassificationEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeMultiLabelClassificationEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(MultiLabelClassificationEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<MultiLabelClassificationEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static MultiLabelClassificationEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeMultiLabelClassificationEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/MultiLabelClassificationEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/MultiLabelClassificationEvaluationSummary.cs
new file mode 100644
index 000000000000..71ab0013c72a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/MultiLabelClassificationEvaluationSummary.cs
@@ -0,0 +1,147 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the evaluation summary for a multi-label classification project. </summary>
+    public partial class MultiLabelClassificationEvaluationSummary
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="MultiLabelClassificationEvaluationSummary"/>. </summary>
+        /// <param name="classes"> Represents the classes evaluation. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="classes"/> is null. </exception>
+        internal MultiLabelClassificationEvaluationSummary(IReadOnlyDictionary<string, MultiLabelClassEvaluationSummary> classes, float microF1, float microPrecision, float microRecall, float macroF1, float macroPrecision, float macroRecall)
+        {
+            Argument.AssertNotNull(classes, nameof(classes));
+
+            Classes = classes;
+            MicroF1 = microF1;
+            MicroPrecision = microPrecision;
+            MicroRecall = microRecall;
+            MacroF1 = macroF1;
+            MacroPrecision = macroPrecision;
+            MacroRecall = macroRecall;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="MultiLabelClassificationEvaluationSummary"/>. </summary>
+        /// <param name="classes"> Represents the classes evaluation. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal MultiLabelClassificationEvaluationSummary(IReadOnlyDictionary<string, MultiLabelClassEvaluationSummary> classes, float microF1, float microPrecision, float microRecall, float macroF1, float macroPrecision, float macroRecall, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Classes = classes;
+            MicroF1 = microF1;
+            MicroPrecision = microPrecision;
+            MicroRecall = microRecall;
+            MacroF1 = macroF1;
+            MacroPrecision = macroPrecision;
+            MacroRecall = macroRecall;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="MultiLabelClassificationEvaluationSummary"/> for deserialization. </summary>
+        internal MultiLabelClassificationEvaluationSummary()
+        {
+        }
+
+        /// <summary> Represents the classes evaluation. </summary>
+        public IReadOnlyDictionary<string, MultiLabelClassEvaluationSummary> Classes { get; }
+        /// <summary> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </summary>
+        public float MicroF1 { get; }
+        /// <summary>
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MicroPrecision { get; }
+        /// <summary>
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MicroRecall { get; }
+        /// <summary> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </summary>
+        public float MacroF1 { get; }
+        /// <summary>
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MacroPrecision { get; }
+        /// <summary>
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MacroRecall { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/PrebuiltEntity.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/PrebuiltEntity.Serialization.cs
new file mode 100644
index 000000000000..1ab91e0c7303
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/PrebuiltEntity.Serialization.cs
@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class PrebuiltEntity : IUtf8JsonSerializable, IJsonModel<PrebuiltEntity>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<PrebuiltEntity>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<PrebuiltEntity>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<PrebuiltEntity>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(PrebuiltEntity)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("category"u8);
+            writer.WriteStringValue(Category);
+            writer.WritePropertyName("description"u8);
+            writer.WriteStringValue(Description);
+            writer.WritePropertyName("examples"u8);
+            writer.WriteStringValue(Examples);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        PrebuiltEntity IJsonModel<PrebuiltEntity>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<PrebuiltEntity>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(PrebuiltEntity)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializePrebuiltEntity(document.RootElement, options);
+        }
+
+        internal static PrebuiltEntity DeserializePrebuiltEntity(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string category = default;
+            string description = default;
+            string examples = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("category"u8))
+                {
+                    category = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("description"u8))
+                {
+                    description = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("examples"u8))
+                {
+                    examples = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new PrebuiltEntity(category, description, examples, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<PrebuiltEntity>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<PrebuiltEntity>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(PrebuiltEntity)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        PrebuiltEntity IPersistableModel<PrebuiltEntity>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<PrebuiltEntity>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializePrebuiltEntity(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(PrebuiltEntity)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<PrebuiltEntity>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static PrebuiltEntity FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializePrebuiltEntity(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/PrebuiltEntity.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/PrebuiltEntity.cs
new file mode 100644
index 000000000000..c01964936ff8
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/PrebuiltEntity.cs
@@ -0,0 +1,89 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents a supported prebuilt entity. </summary>
+    public partial class PrebuiltEntity
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="PrebuiltEntity"/>. </summary>
+        /// <param name="category"> The prebuilt entity category. </param>
+        /// <param name="description"> The description. </param>
+        /// <param name="examples"> English examples for the entity. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="category"/>, <paramref name="description"/> or <paramref name="examples"/> is null. </exception>
+        internal PrebuiltEntity(string category, string description, string examples)
+        {
+            Argument.AssertNotNull(category, nameof(category));
+            Argument.AssertNotNull(description, nameof(description));
+            Argument.AssertNotNull(examples, nameof(examples));
+
+            Category = category;
+            Description = description;
+            Examples = examples;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="PrebuiltEntity"/>. </summary>
+        /// <param name="category"> The prebuilt entity category. </param>
+        /// <param name="description"> The description. </param>
+        /// <param name="examples"> English examples for the entity. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal PrebuiltEntity(string category, string description, string examples, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Category = category;
+            Description = description;
+            Examples = examples;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="PrebuiltEntity"/> for deserialization. </summary>
+        internal PrebuiltEntity()
+        {
+        }
+
+        /// <summary> The prebuilt entity category. </summary>
+        public string Category { get; }
+        /// <summary> The description. </summary>
+        public string Description { get; }
+        /// <summary> English examples for the entity. </summary>
+        public string Examples { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectDeployment.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectDeployment.Serialization.cs
new file mode 100644
index 000000000000..ef104b6941cd
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectDeployment.Serialization.cs
@@ -0,0 +1,201 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ProjectDeployment : IUtf8JsonSerializable, IJsonModel<ProjectDeployment>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ProjectDeployment>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ProjectDeployment>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectDeployment>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ProjectDeployment)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("deploymentName"u8);
+            writer.WriteStringValue(DeploymentName);
+            writer.WritePropertyName("modelId"u8);
+            writer.WriteStringValue(ModelId);
+            writer.WritePropertyName("lastTrainedDateTime"u8);
+            writer.WriteStringValue(LastTrainedDateTime, "O");
+            writer.WritePropertyName("lastDeployedDateTime"u8);
+            writer.WriteStringValue(LastDeployedDateTime, "O");
+            writer.WritePropertyName("deploymentExpirationDate"u8);
+            writer.WriteStringValue(DeploymentExpirationDate, "D");
+            writer.WritePropertyName("modelTrainingConfigVersion"u8);
+            writer.WriteStringValue(ModelTrainingConfigVersion);
+            writer.WritePropertyName("assignedResources"u8);
+            writer.WriteStartArray();
+            foreach (var item in AssignedResources)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ProjectDeployment IJsonModel<ProjectDeployment>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectDeployment>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ProjectDeployment)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeProjectDeployment(document.RootElement, options);
+        }
+
+        internal static ProjectDeployment DeserializeProjectDeployment(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string deploymentName = default;
+            string modelId = default;
+            DateTimeOffset lastTrainedDateTime = default;
+            DateTimeOffset lastDeployedDateTime = default;
+            DateTimeOffset deploymentExpirationDate = default;
+            string modelTrainingConfigVersion = default;
+            IReadOnlyList<DeploymentResource> assignedResources = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("deploymentName"u8))
+                {
+                    deploymentName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("modelId"u8))
+                {
+                    modelId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("lastTrainedDateTime"u8))
+                {
+                    lastTrainedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastDeployedDateTime"u8))
+                {
+                    lastDeployedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("deploymentExpirationDate"u8))
+                {
+                    deploymentExpirationDate = property.Value.GetDateTimeOffset("D");
+                    continue;
+                }
+                if (property.NameEquals("modelTrainingConfigVersion"u8))
+                {
+                    modelTrainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("assignedResources"u8))
+                {
+                    List<DeploymentResource> array = new List<DeploymentResource>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(DeploymentResource.DeserializeDeploymentResource(item, options));
+                    }
+                    assignedResources = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ProjectDeployment(
+                deploymentName,
+                modelId,
+                lastTrainedDateTime,
+                lastDeployedDateTime,
+                deploymentExpirationDate,
+                modelTrainingConfigVersion,
+                assignedResources,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ProjectDeployment>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectDeployment>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ProjectDeployment)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ProjectDeployment IPersistableModel<ProjectDeployment>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectDeployment>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeProjectDeployment(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ProjectDeployment)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ProjectDeployment>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ProjectDeployment FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeProjectDeployment(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectDeployment.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectDeployment.cs
new file mode 100644
index 000000000000..ed0e55c12bb2
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectDeployment.cs
@@ -0,0 +1,115 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents a project deployment. </summary>
+    public partial class ProjectDeployment
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ProjectDeployment"/>. </summary>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="modelId"> Represents deployment modelId. </param>
+        /// <param name="lastTrainedDateTime"> Represents deployment last trained time. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <param name="modelTrainingConfigVersion"> Represents model training config version. </param>
+        /// <param name="assignedResources"> Represents the metadata of the assigned Azure resources. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="deploymentName"/>, <paramref name="modelId"/>, <paramref name="modelTrainingConfigVersion"/> or <paramref name="assignedResources"/> is null. </exception>
+        internal ProjectDeployment(string deploymentName, string modelId, DateTimeOffset lastTrainedDateTime, DateTimeOffset lastDeployedDateTime, DateTimeOffset deploymentExpirationDate, string modelTrainingConfigVersion, IEnumerable<DeploymentResource> assignedResources)
+        {
+            Argument.AssertNotNull(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(modelId, nameof(modelId));
+            Argument.AssertNotNull(modelTrainingConfigVersion, nameof(modelTrainingConfigVersion));
+            Argument.AssertNotNull(assignedResources, nameof(assignedResources));
+
+            DeploymentName = deploymentName;
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastDeployedDateTime = lastDeployedDateTime;
+            DeploymentExpirationDate = deploymentExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            AssignedResources = assignedResources.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ProjectDeployment"/>. </summary>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="modelId"> Represents deployment modelId. </param>
+        /// <param name="lastTrainedDateTime"> Represents deployment last trained time. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <param name="modelTrainingConfigVersion"> Represents model training config version. </param>
+        /// <param name="assignedResources"> Represents the metadata of the assigned Azure resources. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ProjectDeployment(string deploymentName, string modelId, DateTimeOffset lastTrainedDateTime, DateTimeOffset lastDeployedDateTime, DateTimeOffset deploymentExpirationDate, string modelTrainingConfigVersion, IReadOnlyList<DeploymentResource> assignedResources, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            DeploymentName = deploymentName;
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastDeployedDateTime = lastDeployedDateTime;
+            DeploymentExpirationDate = deploymentExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            AssignedResources = assignedResources;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ProjectDeployment"/> for deserialization. </summary>
+        internal ProjectDeployment()
+        {
+        }
+
+        /// <summary> Represents deployment name. </summary>
+        public string DeploymentName { get; }
+        /// <summary> Represents deployment modelId. </summary>
+        public string ModelId { get; }
+        /// <summary> Represents deployment last trained time. </summary>
+        public DateTimeOffset LastTrainedDateTime { get; }
+        /// <summary> Represents deployment last deployed time. </summary>
+        public DateTimeOffset LastDeployedDateTime { get; }
+        /// <summary> Represents deployment expiration date in the runtime. </summary>
+        public DateTimeOffset DeploymentExpirationDate { get; }
+        /// <summary> Represents model training config version. </summary>
+        public string ModelTrainingConfigVersion { get; }
+        /// <summary> Represents the metadata of the assigned Azure resources. </summary>
+        public IReadOnlyList<DeploymentResource> AssignedResources { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectKind.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectKind.cs
new file mode 100644
index 000000000000..29a61f50e1b4
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectKind.cs
@@ -0,0 +1,83 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The ProjectKind. </summary>
+    public readonly partial struct ProjectKind : IEquatable<ProjectKind>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="ProjectKind"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public ProjectKind(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string CustomSingleLabelClassificationValue = "CustomSingleLabelClassification";
+        private const string CustomMultiLabelClassificationValue = "CustomMultiLabelClassification";
+        private const string CustomEntityRecognitionValue = "CustomEntityRecognition";
+        private const string CustomAbstractiveSummarizationValue = "CustomAbstractiveSummarization";
+        private const string CustomHealthcareValue = "CustomHealthcare";
+        private const string CustomTextSentimentValue = "CustomTextSentiment";
+
+        /// <summary>
+        /// For building a classification model to classify text using your own data. Each
+        /// file will have only one label. For example, file 1 is classified as A and file
+        /// 2 is classified as B.
+        /// </summary>
+        public static ProjectKind CustomSingleLabelClassification { get; } = new ProjectKind(CustomSingleLabelClassificationValue);
+        /// <summary>
+        /// For building a classification model to classify text using your own data. Each
+        /// file can have one or many labels. For example, file 1 is classified as A, B,
+        /// and C and file 2 is classified as B and C.
+        /// </summary>
+        public static ProjectKind CustomMultiLabelClassification { get; } = new ProjectKind(CustomMultiLabelClassificationValue);
+        /// <summary>
+        /// For building an extraction model to identify your domain categories using your
+        /// own data.
+        /// </summary>
+        public static ProjectKind CustomEntityRecognition { get; } = new ProjectKind(CustomEntityRecognitionValue);
+        /// <summary>
+        /// For building an abstractive summarization models which are able to summarize
+        /// long documents.
+        /// </summary>
+        public static ProjectKind CustomAbstractiveSummarization { get; } = new ProjectKind(CustomAbstractiveSummarizationValue);
+        /// <summary>
+        /// For building an text analytics for health model to identify your health domain
+        /// data.
+        /// </summary>
+        public static ProjectKind CustomHealthcare { get; } = new ProjectKind(CustomHealthcareValue);
+        /// <summary>
+        /// For building a sentiment models which are able to extract sentiment for long
+        /// documents.
+        /// </summary>
+        public static ProjectKind CustomTextSentiment { get; } = new ProjectKind(CustomTextSentimentValue);
+        /// <summary> Determines if two <see cref="ProjectKind"/> values are the same. </summary>
+        public static bool operator ==(ProjectKind left, ProjectKind right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="ProjectKind"/> values are not the same. </summary>
+        public static bool operator !=(ProjectKind left, ProjectKind right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="ProjectKind"/>. </summary>
+        public static implicit operator ProjectKind(string value) => new ProjectKind(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is ProjectKind other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(ProjectKind other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectMetadata.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectMetadata.Serialization.cs
new file mode 100644
index 000000000000..582ade18fc18
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectMetadata.Serialization.cs
@@ -0,0 +1,258 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ProjectMetadata : IUtf8JsonSerializable, IJsonModel<ProjectMetadata>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ProjectMetadata>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ProjectMetadata>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ProjectMetadata)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastModifiedDateTime"u8);
+            writer.WriteStringValue(LastModifiedDateTime, "O");
+            if (Optional.IsDefined(LastTrainedDateTime))
+            {
+                writer.WritePropertyName("lastTrainedDateTime"u8);
+                writer.WriteStringValue(LastTrainedDateTime.Value, "O");
+            }
+            if (Optional.IsDefined(LastDeployedDateTime))
+            {
+                writer.WritePropertyName("lastDeployedDateTime"u8);
+                writer.WriteStringValue(LastDeployedDateTime.Value, "O");
+            }
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("storageInputContainerName"u8);
+            writer.WriteStringValue(StorageInputContainerName);
+            if (Optional.IsDefined(Settings))
+            {
+                writer.WritePropertyName("settings"u8);
+                writer.WriteObjectValue(Settings, options);
+            }
+            writer.WritePropertyName("projectName"u8);
+            writer.WriteStringValue(ProjectName);
+            if (Optional.IsDefined(Multilingual))
+            {
+                writer.WritePropertyName("multilingual"u8);
+                writer.WriteBooleanValue(Multilingual.Value);
+            }
+            if (Optional.IsDefined(Description))
+            {
+                writer.WritePropertyName("description"u8);
+                writer.WriteStringValue(Description);
+            }
+            writer.WritePropertyName("language"u8);
+            writer.WriteStringValue(Language);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ProjectMetadata IJsonModel<ProjectMetadata>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ProjectMetadata)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeProjectMetadata(document.RootElement, options);
+        }
+
+        internal static ProjectMetadata DeserializeProjectMetadata(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastModifiedDateTime = default;
+            DateTimeOffset? lastTrainedDateTime = default;
+            DateTimeOffset? lastDeployedDateTime = default;
+            ProjectKind projectKind = default;
+            string storageInputContainerName = default;
+            ProjectSettings settings = default;
+            string projectName = default;
+            bool? multilingual = default;
+            string description = default;
+            string language = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastModifiedDateTime"u8))
+                {
+                    lastModifiedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastTrainedDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    lastTrainedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastDeployedDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    lastDeployedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("storageInputContainerName"u8))
+                {
+                    storageInputContainerName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("settings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    settings = ProjectSettings.DeserializeProjectSettings(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("projectName"u8))
+                {
+                    projectName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("multilingual"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    multilingual = property.Value.GetBoolean();
+                    continue;
+                }
+                if (property.NameEquals("description"u8))
+                {
+                    description = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ProjectMetadata(
+                createdDateTime,
+                lastModifiedDateTime,
+                lastTrainedDateTime,
+                lastDeployedDateTime,
+                projectKind,
+                storageInputContainerName,
+                settings,
+                projectName,
+                multilingual,
+                description,
+                language,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ProjectMetadata>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ProjectMetadata)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ProjectMetadata IPersistableModel<ProjectMetadata>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeProjectMetadata(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ProjectMetadata)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ProjectMetadata>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ProjectMetadata FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeProjectMetadata(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectMetadata.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectMetadata.cs
new file mode 100644
index 000000000000..6feb141ddb88
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectMetadata.cs
@@ -0,0 +1,136 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the metadata of a project. </summary>
+    public partial class ProjectMetadata
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ProjectMetadata"/>. </summary>
+        /// <param name="createdDateTime"> Represents the project creation datetime. </param>
+        /// <param name="lastModifiedDateTime"> Represents the project last modification datetime. </param>
+        /// <param name="projectKind"> The project kind. </param>
+        /// <param name="storageInputContainerName"> The storage container name. </param>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="language">
+        /// The project language. This is BCP-47 representation of a language. For example,
+        /// use "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="storageInputContainerName"/>, <paramref name="projectName"/> or <paramref name="language"/> is null. </exception>
+        internal ProjectMetadata(DateTimeOffset createdDateTime, DateTimeOffset lastModifiedDateTime, ProjectKind projectKind, string storageInputContainerName, string projectName, string language)
+        {
+            Argument.AssertNotNull(storageInputContainerName, nameof(storageInputContainerName));
+            Argument.AssertNotNull(projectName, nameof(projectName));
+            Argument.AssertNotNull(language, nameof(language));
+
+            CreatedDateTime = createdDateTime;
+            LastModifiedDateTime = lastModifiedDateTime;
+            ProjectKind = projectKind;
+            StorageInputContainerName = storageInputContainerName;
+            ProjectName = projectName;
+            Language = language;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ProjectMetadata"/>. </summary>
+        /// <param name="createdDateTime"> Represents the project creation datetime. </param>
+        /// <param name="lastModifiedDateTime"> Represents the project last modification datetime. </param>
+        /// <param name="lastTrainedDateTime"> Represents the project last training datetime. </param>
+        /// <param name="lastDeployedDateTime"> Represents the project last deployment datetime. </param>
+        /// <param name="projectKind"> The project kind. </param>
+        /// <param name="storageInputContainerName"> The storage container name. </param>
+        /// <param name="settings"> The project settings. </param>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="multilingual"> Whether the project would be used for multiple languages or not. </param>
+        /// <param name="description"> The project description. </param>
+        /// <param name="language">
+        /// The project language. This is BCP-47 representation of a language. For example,
+        /// use "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ProjectMetadata(DateTimeOffset createdDateTime, DateTimeOffset lastModifiedDateTime, DateTimeOffset? lastTrainedDateTime, DateTimeOffset? lastDeployedDateTime, ProjectKind projectKind, string storageInputContainerName, ProjectSettings settings, string projectName, bool? multilingual, string description, string language, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastModifiedDateTime = lastModifiedDateTime;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastDeployedDateTime = lastDeployedDateTime;
+            ProjectKind = projectKind;
+            StorageInputContainerName = storageInputContainerName;
+            Settings = settings;
+            ProjectName = projectName;
+            Multilingual = multilingual;
+            Description = description;
+            Language = language;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ProjectMetadata"/> for deserialization. </summary>
+        internal ProjectMetadata()
+        {
+        }
+
+        /// <summary> Represents the project creation datetime. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> Represents the project last modification datetime. </summary>
+        public DateTimeOffset LastModifiedDateTime { get; }
+        /// <summary> Represents the project last training datetime. </summary>
+        public DateTimeOffset? LastTrainedDateTime { get; }
+        /// <summary> Represents the project last deployment datetime. </summary>
+        public DateTimeOffset? LastDeployedDateTime { get; }
+        /// <summary> The project kind. </summary>
+        public ProjectKind ProjectKind { get; }
+        /// <summary> The storage container name. </summary>
+        public string StorageInputContainerName { get; }
+        /// <summary> The project settings. </summary>
+        public ProjectSettings Settings { get; }
+        /// <summary> The new project name. </summary>
+        public string ProjectName { get; }
+        /// <summary> Whether the project would be used for multiple languages or not. </summary>
+        public bool? Multilingual { get; }
+        /// <summary> The project description. </summary>
+        public string Description { get; }
+        /// <summary>
+        /// The project language. This is BCP-47 representation of a language. For example,
+        /// use "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </summary>
+        public string Language { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectSettings.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectSettings.Serialization.cs
new file mode 100644
index 000000000000..da0e7c43020b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectSettings.Serialization.cs
@@ -0,0 +1,204 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ProjectSettings : IUtf8JsonSerializable, IJsonModel<ProjectSettings>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ProjectSettings>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ProjectSettings>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectSettings>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ProjectSettings)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsDefined(ConfidenceThreshold))
+            {
+                writer.WritePropertyName("confidenceThreshold"u8);
+                writer.WriteNumberValue(ConfidenceThreshold.Value);
+            }
+            if (Optional.IsDefined(AmlProjectPath))
+            {
+                writer.WritePropertyName("amlProjectPath"u8);
+                writer.WriteStringValue(AmlProjectPath);
+            }
+            if (Optional.IsDefined(IsLabelingLocked))
+            {
+                writer.WritePropertyName("isLabelingLocked"u8);
+                writer.WriteBooleanValue(IsLabelingLocked.Value);
+            }
+            if (Optional.IsDefined(RunGptPredictions))
+            {
+                writer.WritePropertyName("runGptPredictions"u8);
+                writer.WriteBooleanValue(RunGptPredictions.Value);
+            }
+            if (Optional.IsDefined(GptPredictiveLookahead))
+            {
+                writer.WritePropertyName("gptPredictiveLookahead"u8);
+                writer.WriteNumberValue(GptPredictiveLookahead.Value);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ProjectSettings IJsonModel<ProjectSettings>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectSettings>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ProjectSettings)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeProjectSettings(document.RootElement, options);
+        }
+
+        internal static ProjectSettings DeserializeProjectSettings(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            float? confidenceThreshold = default;
+            string amlProjectPath = default;
+            bool? isLabelingLocked = default;
+            bool? runGptPredictions = default;
+            int? gptPredictiveLookahead = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("confidenceThreshold"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    confidenceThreshold = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("amlProjectPath"u8))
+                {
+                    amlProjectPath = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("isLabelingLocked"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    isLabelingLocked = property.Value.GetBoolean();
+                    continue;
+                }
+                if (property.NameEquals("runGptPredictions"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    runGptPredictions = property.Value.GetBoolean();
+                    continue;
+                }
+                if (property.NameEquals("gptPredictiveLookahead"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    gptPredictiveLookahead = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ProjectSettings(
+                confidenceThreshold,
+                amlProjectPath,
+                isLabelingLocked,
+                runGptPredictions,
+                gptPredictiveLookahead,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ProjectSettings>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectSettings>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ProjectSettings)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ProjectSettings IPersistableModel<ProjectSettings>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectSettings>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeProjectSettings(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ProjectSettings)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ProjectSettings>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ProjectSettings FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeProjectSettings(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectSettings.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectSettings.cs
new file mode 100644
index 000000000000..17913e68c842
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectSettings.cs
@@ -0,0 +1,89 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the settings used to define the project behavior. </summary>
+    public partial class ProjectSettings
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ProjectSettings"/>. </summary>
+        public ProjectSettings()
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ProjectSettings"/>. </summary>
+        /// <param name="confidenceThreshold">
+        /// The threshold of the class with the highest confidence, at which the prediction
+        /// will automatically be changed to "None". The value of the threshold should be
+        /// between 0 and 1 inclusive.
+        /// </param>
+        /// <param name="amlProjectPath"> The path to the AML connected project. </param>
+        /// <param name="isLabelingLocked"> Indicates whether the labeling experience can be modified or not. </param>
+        /// <param name="runGptPredictions"> Indicates whether to run GPT predictions or not. </param>
+        /// <param name="gptPredictiveLookahead"> The predictive lookahead for GPT predictions that is specified by the user. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ProjectSettings(float? confidenceThreshold, string amlProjectPath, bool? isLabelingLocked, bool? runGptPredictions, int? gptPredictiveLookahead, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ConfidenceThreshold = confidenceThreshold;
+            AmlProjectPath = amlProjectPath;
+            IsLabelingLocked = isLabelingLocked;
+            RunGptPredictions = runGptPredictions;
+            GptPredictiveLookahead = gptPredictiveLookahead;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary>
+        /// The threshold of the class with the highest confidence, at which the prediction
+        /// will automatically be changed to "None". The value of the threshold should be
+        /// between 0 and 1 inclusive.
+        /// </summary>
+        public float? ConfidenceThreshold { get; set; }
+        /// <summary> The path to the AML connected project. </summary>
+        public string AmlProjectPath { get; set; }
+        /// <summary> Indicates whether the labeling experience can be modified or not. </summary>
+        public bool? IsLabelingLocked { get; set; }
+        /// <summary> Indicates whether to run GPT predictions or not. </summary>
+        public bool? RunGptPredictions { get; set; }
+        /// <summary> The predictive lookahead for GPT predictions that is specified by the user. </summary>
+        public int? GptPredictiveLookahead { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectTrainedModel.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectTrainedModel.Serialization.cs
new file mode 100644
index 000000000000..20298a02b0b1
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectTrainedModel.Serialization.cs
@@ -0,0 +1,191 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ProjectTrainedModel : IUtf8JsonSerializable, IJsonModel<ProjectTrainedModel>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ProjectTrainedModel>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ProjectTrainedModel>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectTrainedModel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ProjectTrainedModel)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("label"u8);
+            writer.WriteStringValue(Label);
+            writer.WritePropertyName("modelId"u8);
+            writer.WriteStringValue(ModelId);
+            writer.WritePropertyName("lastTrainedDateTime"u8);
+            writer.WriteStringValue(LastTrainedDateTime, "O");
+            writer.WritePropertyName("lastTrainingDurationInSeconds"u8);
+            writer.WriteNumberValue(LastTrainingDurationInSeconds);
+            writer.WritePropertyName("modelExpirationDate"u8);
+            writer.WriteStringValue(ModelExpirationDate, "D");
+            writer.WritePropertyName("modelTrainingConfigVersion"u8);
+            writer.WriteStringValue(ModelTrainingConfigVersion);
+            writer.WritePropertyName("hasSnapshot"u8);
+            writer.WriteBooleanValue(HasSnapshot);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ProjectTrainedModel IJsonModel<ProjectTrainedModel>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectTrainedModel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ProjectTrainedModel)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeProjectTrainedModel(document.RootElement, options);
+        }
+
+        internal static ProjectTrainedModel DeserializeProjectTrainedModel(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string label = default;
+            string modelId = default;
+            DateTimeOffset lastTrainedDateTime = default;
+            int lastTrainingDurationInSeconds = default;
+            DateTimeOffset modelExpirationDate = default;
+            string modelTrainingConfigVersion = default;
+            bool hasSnapshot = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("label"u8))
+                {
+                    label = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("modelId"u8))
+                {
+                    modelId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("lastTrainedDateTime"u8))
+                {
+                    lastTrainedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastTrainingDurationInSeconds"u8))
+                {
+                    lastTrainingDurationInSeconds = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("modelExpirationDate"u8))
+                {
+                    modelExpirationDate = property.Value.GetDateTimeOffset("D");
+                    continue;
+                }
+                if (property.NameEquals("modelTrainingConfigVersion"u8))
+                {
+                    modelTrainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("hasSnapshot"u8))
+                {
+                    hasSnapshot = property.Value.GetBoolean();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ProjectTrainedModel(
+                label,
+                modelId,
+                lastTrainedDateTime,
+                lastTrainingDurationInSeconds,
+                modelExpirationDate,
+                modelTrainingConfigVersion,
+                hasSnapshot,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ProjectTrainedModel>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectTrainedModel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ProjectTrainedModel)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ProjectTrainedModel IPersistableModel<ProjectTrainedModel>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectTrainedModel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeProjectTrainedModel(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ProjectTrainedModel)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ProjectTrainedModel>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ProjectTrainedModel FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeProjectTrainedModel(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectTrainedModel.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectTrainedModel.cs
new file mode 100644
index 000000000000..07dbe464cb2e
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ProjectTrainedModel.cs
@@ -0,0 +1,113 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents a trained model. </summary>
+    public partial class ProjectTrainedModel
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ProjectTrainedModel"/>. </summary>
+        /// <param name="label"> The trained model label. </param>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastTrainingDurationInSeconds"> The duration of the model's last training request in seconds. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <param name="hasSnapshot"> The flag to indicate if the trained model has a snapshot ready. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="label"/>, <paramref name="modelId"/> or <paramref name="modelTrainingConfigVersion"/> is null. </exception>
+        internal ProjectTrainedModel(string label, string modelId, DateTimeOffset lastTrainedDateTime, int lastTrainingDurationInSeconds, DateTimeOffset modelExpirationDate, string modelTrainingConfigVersion, bool hasSnapshot)
+        {
+            Argument.AssertNotNull(label, nameof(label));
+            Argument.AssertNotNull(modelId, nameof(modelId));
+            Argument.AssertNotNull(modelTrainingConfigVersion, nameof(modelTrainingConfigVersion));
+
+            Label = label;
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastTrainingDurationInSeconds = lastTrainingDurationInSeconds;
+            ModelExpirationDate = modelExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            HasSnapshot = hasSnapshot;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ProjectTrainedModel"/>. </summary>
+        /// <param name="label"> The trained model label. </param>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastTrainingDurationInSeconds"> The duration of the model's last training request in seconds. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <param name="hasSnapshot"> The flag to indicate if the trained model has a snapshot ready. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ProjectTrainedModel(string label, string modelId, DateTimeOffset lastTrainedDateTime, int lastTrainingDurationInSeconds, DateTimeOffset modelExpirationDate, string modelTrainingConfigVersion, bool hasSnapshot, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Label = label;
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastTrainingDurationInSeconds = lastTrainingDurationInSeconds;
+            ModelExpirationDate = modelExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            HasSnapshot = hasSnapshot;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ProjectTrainedModel"/> for deserialization. </summary>
+        internal ProjectTrainedModel()
+        {
+        }
+
+        /// <summary> The trained model label. </summary>
+        public string Label { get; }
+        /// <summary> The model ID. </summary>
+        public string ModelId { get; }
+        /// <summary> The last trained date time of the model. </summary>
+        public DateTimeOffset LastTrainedDateTime { get; }
+        /// <summary> The duration of the model's last training request in seconds. </summary>
+        public int LastTrainingDurationInSeconds { get; }
+        /// <summary> The model expiration date. </summary>
+        public DateTimeOffset ModelExpirationDate { get; }
+        /// <summary> The model training config version. </summary>
+        public string ModelTrainingConfigVersion { get; }
+        /// <summary> The flag to indicate if the trained model has a snapshot ready. </summary>
+        public bool HasSnapshot { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ResourceMetadata.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ResourceMetadata.Serialization.cs
new file mode 100644
index 000000000000..afd3c4c109ea
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ResourceMetadata.Serialization.cs
@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class ResourceMetadata : IUtf8JsonSerializable, IJsonModel<ResourceMetadata>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ResourceMetadata>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ResourceMetadata>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ResourceMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ResourceMetadata)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("azureResourceId"u8);
+            writer.WriteStringValue(AzureResourceId);
+            writer.WritePropertyName("customDomain"u8);
+            writer.WriteStringValue(CustomDomain);
+            writer.WritePropertyName("region"u8);
+            writer.WriteStringValue(Region);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ResourceMetadata IJsonModel<ResourceMetadata>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ResourceMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ResourceMetadata)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeResourceMetadata(document.RootElement, options);
+        }
+
+        internal static ResourceMetadata DeserializeResourceMetadata(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string azureResourceId = default;
+            string customDomain = default;
+            string region = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("azureResourceId"u8))
+                {
+                    azureResourceId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("customDomain"u8))
+                {
+                    customDomain = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("region"u8))
+                {
+                    region = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ResourceMetadata(azureResourceId, customDomain, region, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ResourceMetadata>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ResourceMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ResourceMetadata)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ResourceMetadata IPersistableModel<ResourceMetadata>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ResourceMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeResourceMetadata(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ResourceMetadata)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ResourceMetadata>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ResourceMetadata FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeResourceMetadata(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ResourceMetadata.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ResourceMetadata.cs
new file mode 100644
index 000000000000..c5118e4cda33
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/ResourceMetadata.cs
@@ -0,0 +1,89 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents metadata for the Azure resource.. </summary>
+    public partial class ResourceMetadata
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ResourceMetadata"/>. </summary>
+        /// <param name="azureResourceId"> Represents the Azure resource ID. </param>
+        /// <param name="customDomain"> Represents the Azure resource custom domain. </param>
+        /// <param name="region"> Represents the Azure resource region. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="azureResourceId"/>, <paramref name="customDomain"/> or <paramref name="region"/> is null. </exception>
+        public ResourceMetadata(string azureResourceId, string customDomain, string region)
+        {
+            Argument.AssertNotNull(azureResourceId, nameof(azureResourceId));
+            Argument.AssertNotNull(customDomain, nameof(customDomain));
+            Argument.AssertNotNull(region, nameof(region));
+
+            AzureResourceId = azureResourceId;
+            CustomDomain = customDomain;
+            Region = region;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ResourceMetadata"/>. </summary>
+        /// <param name="azureResourceId"> Represents the Azure resource ID. </param>
+        /// <param name="customDomain"> Represents the Azure resource custom domain. </param>
+        /// <param name="region"> Represents the Azure resource region. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ResourceMetadata(string azureResourceId, string customDomain, string region, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            AzureResourceId = azureResourceId;
+            CustomDomain = customDomain;
+            Region = region;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ResourceMetadata"/> for deserialization. </summary>
+        internal ResourceMetadata()
+        {
+        }
+
+        /// <summary> Represents the Azure resource ID. </summary>
+        public string AzureResourceId { get; }
+        /// <summary> Represents the Azure resource custom domain. </summary>
+        public string CustomDomain { get; }
+        /// <summary> Represents the Azure resource region. </summary>
+        public string Region { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SentimentEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SentimentEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..4e0908b6dbca
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SentimentEvaluationSummary.Serialization.cs
@@ -0,0 +1,191 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class SentimentEvaluationSummary : IUtf8JsonSerializable, IJsonModel<SentimentEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<SentimentEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<SentimentEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SentimentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SentimentEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("f1"u8);
+            writer.WriteNumberValue(F1);
+            writer.WritePropertyName("precision"u8);
+            writer.WriteNumberValue(Precision);
+            writer.WritePropertyName("recall"u8);
+            writer.WriteNumberValue(Recall);
+            writer.WritePropertyName("truePositiveCount"u8);
+            writer.WriteNumberValue(TruePositiveCount);
+            writer.WritePropertyName("trueNegativeCount"u8);
+            writer.WriteNumberValue(TrueNegativeCount);
+            writer.WritePropertyName("falsePositiveCount"u8);
+            writer.WriteNumberValue(FalsePositiveCount);
+            writer.WritePropertyName("falseNegativeCount"u8);
+            writer.WriteNumberValue(FalseNegativeCount);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        SentimentEvaluationSummary IJsonModel<SentimentEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SentimentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SentimentEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeSentimentEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static SentimentEvaluationSummary DeserializeSentimentEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            double f1 = default;
+            double precision = default;
+            double recall = default;
+            int truePositiveCount = default;
+            int trueNegativeCount = default;
+            int falsePositiveCount = default;
+            int falseNegativeCount = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("f1"u8))
+                {
+                    f1 = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("precision"u8))
+                {
+                    precision = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("recall"u8))
+                {
+                    recall = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("truePositiveCount"u8))
+                {
+                    truePositiveCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("trueNegativeCount"u8))
+                {
+                    trueNegativeCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("falsePositiveCount"u8))
+                {
+                    falsePositiveCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("falseNegativeCount"u8))
+                {
+                    falseNegativeCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new SentimentEvaluationSummary(
+                f1,
+                precision,
+                recall,
+                truePositiveCount,
+                trueNegativeCount,
+                falsePositiveCount,
+                falseNegativeCount,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<SentimentEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SentimentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(SentimentEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        SentimentEvaluationSummary IPersistableModel<SentimentEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SentimentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeSentimentEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(SentimentEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<SentimentEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static SentimentEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeSentimentEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SentimentEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SentimentEvaluationSummary.cs
new file mode 100644
index 000000000000..fe5a37e9d036
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SentimentEvaluationSummary.cs
@@ -0,0 +1,108 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the evaluation summary for a sentiment in a custom sentiment project. </summary>
+    public partial class SentimentEvaluationSummary
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="SentimentEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        internal SentimentEvaluationSummary(double f1, double precision, double recall, int truePositiveCount, int trueNegativeCount, int falsePositiveCount, int falseNegativeCount)
+        {
+            F1 = f1;
+            Precision = precision;
+            Recall = recall;
+            TruePositiveCount = truePositiveCount;
+            TrueNegativeCount = trueNegativeCount;
+            FalsePositiveCount = falsePositiveCount;
+            FalseNegativeCount = falseNegativeCount;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SentimentEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal SentimentEvaluationSummary(double f1, double precision, double recall, int truePositiveCount, int trueNegativeCount, int falsePositiveCount, int falseNegativeCount, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            F1 = f1;
+            Precision = precision;
+            Recall = recall;
+            TruePositiveCount = truePositiveCount;
+            TrueNegativeCount = trueNegativeCount;
+            FalsePositiveCount = falsePositiveCount;
+            FalseNegativeCount = falseNegativeCount;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SentimentEvaluationSummary"/> for deserialization. </summary>
+        internal SentimentEvaluationSummary()
+        {
+        }
+
+        /// <summary> Represents the model precision. </summary>
+        public double F1 { get; }
+        /// <summary> Represents the model recall. </summary>
+        public double Precision { get; }
+        /// <summary> Represents the model F1 score. </summary>
+        public double Recall { get; }
+        /// <summary> Represents the count of true positive. </summary>
+        public int TruePositiveCount { get; }
+        /// <summary> Represents the count of true negative. </summary>
+        public int TrueNegativeCount { get; }
+        /// <summary> Represents the count of false positive. </summary>
+        public int FalsePositiveCount { get; }
+        /// <summary> Represents the count of false negative. </summary>
+        public int FalseNegativeCount { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SingleLabelClassEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SingleLabelClassEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..f9ed43efc17c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SingleLabelClassEvaluationSummary.Serialization.cs
@@ -0,0 +1,191 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class SingleLabelClassEvaluationSummary : IUtf8JsonSerializable, IJsonModel<SingleLabelClassEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<SingleLabelClassEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<SingleLabelClassEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SingleLabelClassEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SingleLabelClassEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("f1"u8);
+            writer.WriteNumberValue(F1);
+            writer.WritePropertyName("precision"u8);
+            writer.WriteNumberValue(Precision);
+            writer.WritePropertyName("recall"u8);
+            writer.WriteNumberValue(Recall);
+            writer.WritePropertyName("truePositiveCount"u8);
+            writer.WriteNumberValue(TruePositiveCount);
+            writer.WritePropertyName("trueNegativeCount"u8);
+            writer.WriteNumberValue(TrueNegativeCount);
+            writer.WritePropertyName("falsePositiveCount"u8);
+            writer.WriteNumberValue(FalsePositiveCount);
+            writer.WritePropertyName("falseNegativeCount"u8);
+            writer.WriteNumberValue(FalseNegativeCount);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        SingleLabelClassEvaluationSummary IJsonModel<SingleLabelClassEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SingleLabelClassEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SingleLabelClassEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeSingleLabelClassEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static SingleLabelClassEvaluationSummary DeserializeSingleLabelClassEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            double f1 = default;
+            double precision = default;
+            double recall = default;
+            int truePositiveCount = default;
+            int trueNegativeCount = default;
+            int falsePositiveCount = default;
+            int falseNegativeCount = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("f1"u8))
+                {
+                    f1 = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("precision"u8))
+                {
+                    precision = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("recall"u8))
+                {
+                    recall = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("truePositiveCount"u8))
+                {
+                    truePositiveCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("trueNegativeCount"u8))
+                {
+                    trueNegativeCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("falsePositiveCount"u8))
+                {
+                    falsePositiveCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("falseNegativeCount"u8))
+                {
+                    falseNegativeCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new SingleLabelClassEvaluationSummary(
+                f1,
+                precision,
+                recall,
+                truePositiveCount,
+                trueNegativeCount,
+                falsePositiveCount,
+                falseNegativeCount,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<SingleLabelClassEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SingleLabelClassEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(SingleLabelClassEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        SingleLabelClassEvaluationSummary IPersistableModel<SingleLabelClassEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SingleLabelClassEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeSingleLabelClassEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(SingleLabelClassEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<SingleLabelClassEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static SingleLabelClassEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeSingleLabelClassEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SingleLabelClassEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SingleLabelClassEvaluationSummary.cs
new file mode 100644
index 000000000000..f565e8255ab6
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SingleLabelClassEvaluationSummary.cs
@@ -0,0 +1,111 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents the evaluation summary for a class in a single-label classification
+    /// project.
+    /// </summary>
+    public partial class SingleLabelClassEvaluationSummary
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="SingleLabelClassEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        internal SingleLabelClassEvaluationSummary(double f1, double precision, double recall, int truePositiveCount, int trueNegativeCount, int falsePositiveCount, int falseNegativeCount)
+        {
+            F1 = f1;
+            Precision = precision;
+            Recall = recall;
+            TruePositiveCount = truePositiveCount;
+            TrueNegativeCount = trueNegativeCount;
+            FalsePositiveCount = falsePositiveCount;
+            FalseNegativeCount = falseNegativeCount;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SingleLabelClassEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal SingleLabelClassEvaluationSummary(double f1, double precision, double recall, int truePositiveCount, int trueNegativeCount, int falsePositiveCount, int falseNegativeCount, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            F1 = f1;
+            Precision = precision;
+            Recall = recall;
+            TruePositiveCount = truePositiveCount;
+            TrueNegativeCount = trueNegativeCount;
+            FalsePositiveCount = falsePositiveCount;
+            FalseNegativeCount = falseNegativeCount;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SingleLabelClassEvaluationSummary"/> for deserialization. </summary>
+        internal SingleLabelClassEvaluationSummary()
+        {
+        }
+
+        /// <summary> Represents the model precision. </summary>
+        public double F1 { get; }
+        /// <summary> Represents the model recall. </summary>
+        public double Precision { get; }
+        /// <summary> Represents the model F1 score. </summary>
+        public double Recall { get; }
+        /// <summary> Represents the count of true positive. </summary>
+        public int TruePositiveCount { get; }
+        /// <summary> Represents the count of true negative. </summary>
+        public int TrueNegativeCount { get; }
+        /// <summary> Represents the count of false positive. </summary>
+        public int FalsePositiveCount { get; }
+        /// <summary> Represents the count of false negative. </summary>
+        public int FalseNegativeCount { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SingleLabelClassificationEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SingleLabelClassificationEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..d80b023e9527
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SingleLabelClassificationEvaluationSummary.Serialization.cs
@@ -0,0 +1,211 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class SingleLabelClassificationEvaluationSummary : IUtf8JsonSerializable, IJsonModel<SingleLabelClassificationEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<SingleLabelClassificationEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<SingleLabelClassificationEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SingleLabelClassificationEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SingleLabelClassificationEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("confusionMatrix"u8);
+            writer.WriteObjectValue(ConfusionMatrix, options);
+            writer.WritePropertyName("classes"u8);
+            writer.WriteStartObject();
+            foreach (var item in Classes)
+            {
+                writer.WritePropertyName(item.Key);
+                writer.WriteObjectValue(item.Value, options);
+            }
+            writer.WriteEndObject();
+            writer.WritePropertyName("microF1"u8);
+            writer.WriteNumberValue(MicroF1);
+            writer.WritePropertyName("microPrecision"u8);
+            writer.WriteNumberValue(MicroPrecision);
+            writer.WritePropertyName("microRecall"u8);
+            writer.WriteNumberValue(MicroRecall);
+            writer.WritePropertyName("macroF1"u8);
+            writer.WriteNumberValue(MacroF1);
+            writer.WritePropertyName("macroPrecision"u8);
+            writer.WriteNumberValue(MacroPrecision);
+            writer.WritePropertyName("macroRecall"u8);
+            writer.WriteNumberValue(MacroRecall);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        SingleLabelClassificationEvaluationSummary IJsonModel<SingleLabelClassificationEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SingleLabelClassificationEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SingleLabelClassificationEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeSingleLabelClassificationEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static SingleLabelClassificationEvaluationSummary DeserializeSingleLabelClassificationEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ConfusionMatrix confusionMatrix = default;
+            IReadOnlyDictionary<string, SingleLabelClassEvaluationSummary> classes = default;
+            float microF1 = default;
+            float microPrecision = default;
+            float microRecall = default;
+            float macroF1 = default;
+            float macroPrecision = default;
+            float macroRecall = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("confusionMatrix"u8))
+                {
+                    confusionMatrix = ConfusionMatrix.DeserializeConfusionMatrix(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("classes"u8))
+                {
+                    Dictionary<string, SingleLabelClassEvaluationSummary> dictionary = new Dictionary<string, SingleLabelClassEvaluationSummary>();
+                    foreach (var property0 in property.Value.EnumerateObject())
+                    {
+                        dictionary.Add(property0.Name, SingleLabelClassEvaluationSummary.DeserializeSingleLabelClassEvaluationSummary(property0.Value, options));
+                    }
+                    classes = dictionary;
+                    continue;
+                }
+                if (property.NameEquals("microF1"u8))
+                {
+                    microF1 = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("microPrecision"u8))
+                {
+                    microPrecision = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("microRecall"u8))
+                {
+                    microRecall = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroF1"u8))
+                {
+                    macroF1 = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroPrecision"u8))
+                {
+                    macroPrecision = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroRecall"u8))
+                {
+                    macroRecall = property.Value.GetSingle();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new SingleLabelClassificationEvaluationSummary(
+                confusionMatrix,
+                classes,
+                microF1,
+                microPrecision,
+                microRecall,
+                macroF1,
+                macroPrecision,
+                macroRecall,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<SingleLabelClassificationEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SingleLabelClassificationEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(SingleLabelClassificationEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        SingleLabelClassificationEvaluationSummary IPersistableModel<SingleLabelClassificationEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SingleLabelClassificationEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeSingleLabelClassificationEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(SingleLabelClassificationEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<SingleLabelClassificationEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static SingleLabelClassificationEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeSingleLabelClassificationEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SingleLabelClassificationEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SingleLabelClassificationEvaluationSummary.cs
new file mode 100644
index 000000000000..4a51ce364df6
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SingleLabelClassificationEvaluationSummary.cs
@@ -0,0 +1,169 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary>
+    /// Represents the evaluation summary for a custom single-label classification
+    /// project.
+    /// </summary>
+    public partial class SingleLabelClassificationEvaluationSummary
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="SingleLabelClassificationEvaluationSummary"/>. </summary>
+        /// <param name="confusionMatrix">
+        /// Represents the confusion matrix between two classes (the two classes can be the
+        /// same). The matrix is between the class that was labelled and the class that was
+        /// predicted.
+        /// </param>
+        /// <param name="classes"> Represents the classes evaluation. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="confusionMatrix"/> or <paramref name="classes"/> is null. </exception>
+        internal SingleLabelClassificationEvaluationSummary(ConfusionMatrix confusionMatrix, IReadOnlyDictionary<string, SingleLabelClassEvaluationSummary> classes, float microF1, float microPrecision, float microRecall, float macroF1, float macroPrecision, float macroRecall)
+        {
+            Argument.AssertNotNull(confusionMatrix, nameof(confusionMatrix));
+            Argument.AssertNotNull(classes, nameof(classes));
+
+            ConfusionMatrix = confusionMatrix;
+            Classes = classes;
+            MicroF1 = microF1;
+            MicroPrecision = microPrecision;
+            MicroRecall = microRecall;
+            MacroF1 = macroF1;
+            MacroPrecision = macroPrecision;
+            MacroRecall = macroRecall;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SingleLabelClassificationEvaluationSummary"/>. </summary>
+        /// <param name="confusionMatrix">
+        /// Represents the confusion matrix between two classes (the two classes can be the
+        /// same). The matrix is between the class that was labelled and the class that was
+        /// predicted.
+        /// </param>
+        /// <param name="classes"> Represents the classes evaluation. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal SingleLabelClassificationEvaluationSummary(ConfusionMatrix confusionMatrix, IReadOnlyDictionary<string, SingleLabelClassEvaluationSummary> classes, float microF1, float microPrecision, float microRecall, float macroF1, float macroPrecision, float macroRecall, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ConfusionMatrix = confusionMatrix;
+            Classes = classes;
+            MicroF1 = microF1;
+            MicroPrecision = microPrecision;
+            MicroRecall = microRecall;
+            MacroF1 = macroF1;
+            MacroPrecision = macroPrecision;
+            MacroRecall = macroRecall;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SingleLabelClassificationEvaluationSummary"/> for deserialization. </summary>
+        internal SingleLabelClassificationEvaluationSummary()
+        {
+        }
+
+        /// <summary>
+        /// Represents the confusion matrix between two classes (the two classes can be the
+        /// same). The matrix is between the class that was labelled and the class that was
+        /// predicted.
+        /// </summary>
+        public ConfusionMatrix ConfusionMatrix { get; }
+        /// <summary> Represents the classes evaluation. </summary>
+        public IReadOnlyDictionary<string, SingleLabelClassEvaluationSummary> Classes { get; }
+        /// <summary> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </summary>
+        public float MicroF1 { get; }
+        /// <summary>
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MicroPrecision { get; }
+        /// <summary>
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MicroRecall { get; }
+        /// <summary> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </summary>
+        public float MacroF1 { get; }
+        /// <summary>
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MacroPrecision { get; }
+        /// <summary>
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MacroRecall { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SpanSentimentEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SpanSentimentEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..5617fb34b3be
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SpanSentimentEvaluationSummary.Serialization.cs
@@ -0,0 +1,211 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class SpanSentimentEvaluationSummary : IUtf8JsonSerializable, IJsonModel<SpanSentimentEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<SpanSentimentEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<SpanSentimentEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SpanSentimentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SpanSentimentEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("confusionMatrix"u8);
+            writer.WriteObjectValue(ConfusionMatrix, options);
+            writer.WritePropertyName("sentiments"u8);
+            writer.WriteStartObject();
+            foreach (var item in Sentiments)
+            {
+                writer.WritePropertyName(item.Key);
+                writer.WriteObjectValue(item.Value, options);
+            }
+            writer.WriteEndObject();
+            writer.WritePropertyName("microF1"u8);
+            writer.WriteNumberValue(MicroF1);
+            writer.WritePropertyName("microPrecision"u8);
+            writer.WriteNumberValue(MicroPrecision);
+            writer.WritePropertyName("microRecall"u8);
+            writer.WriteNumberValue(MicroRecall);
+            writer.WritePropertyName("macroF1"u8);
+            writer.WriteNumberValue(MacroF1);
+            writer.WritePropertyName("macroPrecision"u8);
+            writer.WriteNumberValue(MacroPrecision);
+            writer.WritePropertyName("macroRecall"u8);
+            writer.WriteNumberValue(MacroRecall);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        SpanSentimentEvaluationSummary IJsonModel<SpanSentimentEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SpanSentimentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SpanSentimentEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeSpanSentimentEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static SpanSentimentEvaluationSummary DeserializeSpanSentimentEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ConfusionMatrix confusionMatrix = default;
+            IReadOnlyDictionary<string, SentimentEvaluationSummary> sentiments = default;
+            float microF1 = default;
+            float microPrecision = default;
+            float microRecall = default;
+            float macroF1 = default;
+            float macroPrecision = default;
+            float macroRecall = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("confusionMatrix"u8))
+                {
+                    confusionMatrix = ConfusionMatrix.DeserializeConfusionMatrix(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("sentiments"u8))
+                {
+                    Dictionary<string, SentimentEvaluationSummary> dictionary = new Dictionary<string, SentimentEvaluationSummary>();
+                    foreach (var property0 in property.Value.EnumerateObject())
+                    {
+                        dictionary.Add(property0.Name, SentimentEvaluationSummary.DeserializeSentimentEvaluationSummary(property0.Value, options));
+                    }
+                    sentiments = dictionary;
+                    continue;
+                }
+                if (property.NameEquals("microF1"u8))
+                {
+                    microF1 = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("microPrecision"u8))
+                {
+                    microPrecision = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("microRecall"u8))
+                {
+                    microRecall = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroF1"u8))
+                {
+                    macroF1 = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroPrecision"u8))
+                {
+                    macroPrecision = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroRecall"u8))
+                {
+                    macroRecall = property.Value.GetSingle();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new SpanSentimentEvaluationSummary(
+                confusionMatrix,
+                sentiments,
+                microF1,
+                microPrecision,
+                microRecall,
+                macroF1,
+                macroPrecision,
+                macroRecall,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<SpanSentimentEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SpanSentimentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(SpanSentimentEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        SpanSentimentEvaluationSummary IPersistableModel<SpanSentimentEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SpanSentimentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeSpanSentimentEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(SpanSentimentEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<SpanSentimentEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static SpanSentimentEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeSpanSentimentEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SpanSentimentEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SpanSentimentEvaluationSummary.cs
new file mode 100644
index 000000000000..b935983aed0a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SpanSentimentEvaluationSummary.cs
@@ -0,0 +1,166 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the evaluation summary for a custom sentiment project. </summary>
+    public partial class SpanSentimentEvaluationSummary
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="SpanSentimentEvaluationSummary"/>. </summary>
+        /// <param name="confusionMatrix">
+        /// Represents the confusion matrix between two sentiments (the two sentiments can
+        /// be the same). The matrix is between the sentiment that was labelled and the
+        /// sentiment that was predicted.
+        /// </param>
+        /// <param name="sentiments"> Represents the sentiment evaluation. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="confusionMatrix"/> or <paramref name="sentiments"/> is null. </exception>
+        internal SpanSentimentEvaluationSummary(ConfusionMatrix confusionMatrix, IReadOnlyDictionary<string, SentimentEvaluationSummary> sentiments, float microF1, float microPrecision, float microRecall, float macroF1, float macroPrecision, float macroRecall)
+        {
+            Argument.AssertNotNull(confusionMatrix, nameof(confusionMatrix));
+            Argument.AssertNotNull(sentiments, nameof(sentiments));
+
+            ConfusionMatrix = confusionMatrix;
+            Sentiments = sentiments;
+            MicroF1 = microF1;
+            MicroPrecision = microPrecision;
+            MicroRecall = microRecall;
+            MacroF1 = macroF1;
+            MacroPrecision = macroPrecision;
+            MacroRecall = macroRecall;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SpanSentimentEvaluationSummary"/>. </summary>
+        /// <param name="confusionMatrix">
+        /// Represents the confusion matrix between two sentiments (the two sentiments can
+        /// be the same). The matrix is between the sentiment that was labelled and the
+        /// sentiment that was predicted.
+        /// </param>
+        /// <param name="sentiments"> Represents the sentiment evaluation. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal SpanSentimentEvaluationSummary(ConfusionMatrix confusionMatrix, IReadOnlyDictionary<string, SentimentEvaluationSummary> sentiments, float microF1, float microPrecision, float microRecall, float macroF1, float macroPrecision, float macroRecall, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ConfusionMatrix = confusionMatrix;
+            Sentiments = sentiments;
+            MicroF1 = microF1;
+            MicroPrecision = microPrecision;
+            MicroRecall = microRecall;
+            MacroF1 = macroF1;
+            MacroPrecision = macroPrecision;
+            MacroRecall = macroRecall;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SpanSentimentEvaluationSummary"/> for deserialization. </summary>
+        internal SpanSentimentEvaluationSummary()
+        {
+        }
+
+        /// <summary>
+        /// Represents the confusion matrix between two sentiments (the two sentiments can
+        /// be the same). The matrix is between the sentiment that was labelled and the
+        /// sentiment that was predicted.
+        /// </summary>
+        public ConfusionMatrix ConfusionMatrix { get; }
+        /// <summary> Represents the sentiment evaluation. </summary>
+        public IReadOnlyDictionary<string, SentimentEvaluationSummary> Sentiments { get; }
+        /// <summary> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </summary>
+        public float MicroF1 { get; }
+        /// <summary>
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MicroPrecision { get; }
+        /// <summary>
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MicroRecall { get; }
+        /// <summary> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </summary>
+        public float MacroF1 { get; }
+        /// <summary>
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MacroPrecision { get; }
+        /// <summary>
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MacroRecall { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/StringIndexType.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/StringIndexType.cs
new file mode 100644
index 000000000000..ff1c47b93e16
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/StringIndexType.cs
@@ -0,0 +1,52 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The StringIndexType. </summary>
+    public readonly partial struct StringIndexType : IEquatable<StringIndexType>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="StringIndexType"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public StringIndexType(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string Utf16CodeUnitValue = "Utf16CodeUnit";
+
+        /// <summary>
+        /// The offset and length values will correspond to UTF-16 code units. Use this
+        /// option if your application is written in a language that support Unicode, for
+        /// example Java, JavaScript.
+        /// </summary>
+        public static StringIndexType Utf16CodeUnit { get; } = new StringIndexType(Utf16CodeUnitValue);
+        /// <summary> Determines if two <see cref="StringIndexType"/> values are the same. </summary>
+        public static bool operator ==(StringIndexType left, StringIndexType right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="StringIndexType"/> values are not the same. </summary>
+        public static bool operator !=(StringIndexType left, StringIndexType right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="StringIndexType"/>. </summary>
+        public static implicit operator StringIndexType(string value) => new StringIndexType(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is StringIndexType other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(StringIndexType other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SubTrainingJobState.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SubTrainingJobState.Serialization.cs
new file mode 100644
index 000000000000..cf9f8d71c449
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SubTrainingJobState.Serialization.cs
@@ -0,0 +1,173 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class SubTrainingJobState : IUtf8JsonSerializable, IJsonModel<SubTrainingJobState>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<SubTrainingJobState>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<SubTrainingJobState>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SubTrainingJobState>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SubTrainingJobState)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("percentComplete"u8);
+            writer.WriteNumberValue(PercentComplete);
+            if (Optional.IsDefined(StartDateTime))
+            {
+                writer.WritePropertyName("startDateTime"u8);
+                writer.WriteStringValue(StartDateTime.Value, "O");
+            }
+            if (Optional.IsDefined(EndDateTime))
+            {
+                writer.WritePropertyName("endDateTime"u8);
+                writer.WriteStringValue(EndDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        SubTrainingJobState IJsonModel<SubTrainingJobState>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SubTrainingJobState>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SubTrainingJobState)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeSubTrainingJobState(document.RootElement, options);
+        }
+
+        internal static SubTrainingJobState DeserializeSubTrainingJobState(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            int percentComplete = default;
+            DateTimeOffset? startDateTime = default;
+            DateTimeOffset? endDateTime = default;
+            JobStatus status = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("percentComplete"u8))
+                {
+                    percentComplete = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("startDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    startDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("endDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    endDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new SubTrainingJobState(percentComplete, startDateTime, endDateTime, status, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<SubTrainingJobState>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SubTrainingJobState>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(SubTrainingJobState)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        SubTrainingJobState IPersistableModel<SubTrainingJobState>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SubTrainingJobState>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeSubTrainingJobState(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(SubTrainingJobState)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<SubTrainingJobState>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static SubTrainingJobState FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeSubTrainingJobState(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SubTrainingJobState.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SubTrainingJobState.cs
new file mode 100644
index 000000000000..9d002dd77502
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SubTrainingJobState.cs
@@ -0,0 +1,86 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the detailed state of a training sub-operation. </summary>
+    public partial class SubTrainingJobState
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="SubTrainingJobState"/>. </summary>
+        /// <param name="percentComplete"> Represents progress percentage. </param>
+        /// <param name="status"> Represents the status of the sub-operation. </param>
+        internal SubTrainingJobState(int percentComplete, JobStatus status)
+        {
+            PercentComplete = percentComplete;
+            Status = status;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SubTrainingJobState"/>. </summary>
+        /// <param name="percentComplete"> Represents progress percentage. </param>
+        /// <param name="startDateTime"> Represents the start date time. </param>
+        /// <param name="endDateTime"> Represents the end date time. </param>
+        /// <param name="status"> Represents the status of the sub-operation. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal SubTrainingJobState(int percentComplete, DateTimeOffset? startDateTime, DateTimeOffset? endDateTime, JobStatus status, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            PercentComplete = percentComplete;
+            StartDateTime = startDateTime;
+            EndDateTime = endDateTime;
+            Status = status;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SubTrainingJobState"/> for deserialization. </summary>
+        internal SubTrainingJobState()
+        {
+        }
+
+        /// <summary> Represents progress percentage. </summary>
+        public int PercentComplete { get; }
+        /// <summary> Represents the start date time. </summary>
+        public DateTimeOffset? StartDateTime { get; }
+        /// <summary> Represents the end date time. </summary>
+        public DateTimeOffset? EndDateTime { get; }
+        /// <summary> Represents the status of the sub-operation. </summary>
+        public JobStatus Status { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SupportedLanguage.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SupportedLanguage.Serialization.cs
new file mode 100644
index 000000000000..1fa39ccfb11b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SupportedLanguage.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class SupportedLanguage : IUtf8JsonSerializable, IJsonModel<SupportedLanguage>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<SupportedLanguage>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<SupportedLanguage>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SupportedLanguage>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SupportedLanguage)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("languageName"u8);
+            writer.WriteStringValue(LanguageName);
+            writer.WritePropertyName("languageCode"u8);
+            writer.WriteStringValue(LanguageCode);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        SupportedLanguage IJsonModel<SupportedLanguage>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SupportedLanguage>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SupportedLanguage)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeSupportedLanguage(document.RootElement, options);
+        }
+
+        internal static SupportedLanguage DeserializeSupportedLanguage(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string languageName = default;
+            string languageCode = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("languageName"u8))
+                {
+                    languageName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("languageCode"u8))
+                {
+                    languageCode = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new SupportedLanguage(languageName, languageCode, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<SupportedLanguage>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SupportedLanguage>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(SupportedLanguage)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        SupportedLanguage IPersistableModel<SupportedLanguage>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SupportedLanguage>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeSupportedLanguage(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(SupportedLanguage)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<SupportedLanguage>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static SupportedLanguage FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeSupportedLanguage(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SupportedLanguage.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SupportedLanguage.cs
new file mode 100644
index 000000000000..68efccbfd2cc
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SupportedLanguage.cs
@@ -0,0 +1,91 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents a supported language. </summary>
+    public partial class SupportedLanguage
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="SupportedLanguage"/>. </summary>
+        /// <param name="languageName"> The language name. </param>
+        /// <param name="languageCode">
+        /// The language code. This is BCP-47 representation of a language. For example,
+        /// "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="languageName"/> or <paramref name="languageCode"/> is null. </exception>
+        internal SupportedLanguage(string languageName, string languageCode)
+        {
+            Argument.AssertNotNull(languageName, nameof(languageName));
+            Argument.AssertNotNull(languageCode, nameof(languageCode));
+
+            LanguageName = languageName;
+            LanguageCode = languageCode;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SupportedLanguage"/>. </summary>
+        /// <param name="languageName"> The language name. </param>
+        /// <param name="languageCode">
+        /// The language code. This is BCP-47 representation of a language. For example,
+        /// "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal SupportedLanguage(string languageName, string languageCode, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            LanguageName = languageName;
+            LanguageCode = languageCode;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SupportedLanguage"/> for deserialization. </summary>
+        internal SupportedLanguage()
+        {
+        }
+
+        /// <summary> The language name. </summary>
+        public string LanguageName { get; }
+        /// <summary>
+        /// The language code. This is BCP-47 representation of a language. For example,
+        /// "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </summary>
+        public string LanguageCode { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SwapDeploymentsConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SwapDeploymentsConfig.Serialization.cs
new file mode 100644
index 000000000000..17d370ed2145
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SwapDeploymentsConfig.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class SwapDeploymentsConfig : IUtf8JsonSerializable, IJsonModel<SwapDeploymentsConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<SwapDeploymentsConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<SwapDeploymentsConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SwapDeploymentsConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SwapDeploymentsConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("firstDeploymentName"u8);
+            writer.WriteStringValue(FirstDeploymentName);
+            writer.WritePropertyName("secondDeploymentName"u8);
+            writer.WriteStringValue(SecondDeploymentName);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        SwapDeploymentsConfig IJsonModel<SwapDeploymentsConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SwapDeploymentsConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SwapDeploymentsConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeSwapDeploymentsConfig(document.RootElement, options);
+        }
+
+        internal static SwapDeploymentsConfig DeserializeSwapDeploymentsConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string firstDeploymentName = default;
+            string secondDeploymentName = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("firstDeploymentName"u8))
+                {
+                    firstDeploymentName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("secondDeploymentName"u8))
+                {
+                    secondDeploymentName = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new SwapDeploymentsConfig(firstDeploymentName, secondDeploymentName, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<SwapDeploymentsConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SwapDeploymentsConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(SwapDeploymentsConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        SwapDeploymentsConfig IPersistableModel<SwapDeploymentsConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SwapDeploymentsConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeSwapDeploymentsConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(SwapDeploymentsConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<SwapDeploymentsConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static SwapDeploymentsConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeSwapDeploymentsConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SwapDeploymentsConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SwapDeploymentsConfig.cs
new file mode 100644
index 000000000000..8f06392a27ba
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/SwapDeploymentsConfig.cs
@@ -0,0 +1,82 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the options for swapping two deployments together. </summary>
+    public partial class SwapDeploymentsConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="SwapDeploymentsConfig"/>. </summary>
+        /// <param name="firstDeploymentName"> Represents the first deployment name. </param>
+        /// <param name="secondDeploymentName"> Represents the second deployment name. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="firstDeploymentName"/> or <paramref name="secondDeploymentName"/> is null. </exception>
+        public SwapDeploymentsConfig(string firstDeploymentName, string secondDeploymentName)
+        {
+            Argument.AssertNotNull(firstDeploymentName, nameof(firstDeploymentName));
+            Argument.AssertNotNull(secondDeploymentName, nameof(secondDeploymentName));
+
+            FirstDeploymentName = firstDeploymentName;
+            SecondDeploymentName = secondDeploymentName;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SwapDeploymentsConfig"/>. </summary>
+        /// <param name="firstDeploymentName"> Represents the first deployment name. </param>
+        /// <param name="secondDeploymentName"> Represents the second deployment name. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal SwapDeploymentsConfig(string firstDeploymentName, string secondDeploymentName, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            FirstDeploymentName = firstDeploymentName;
+            SecondDeploymentName = secondDeploymentName;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SwapDeploymentsConfig"/> for deserialization. </summary>
+        internal SwapDeploymentsConfig()
+        {
+        }
+
+        /// <summary> Represents the first deployment name. </summary>
+        public string FirstDeploymentName { get; }
+        /// <summary> Represents the second deployment name. </summary>
+        public string SecondDeploymentName { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextAnalysisAuthoringError.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextAnalysisAuthoringError.Serialization.cs
new file mode 100644
index 000000000000..2e0c8192ebf3
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextAnalysisAuthoringError.Serialization.cs
@@ -0,0 +1,200 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class TextAnalysisAuthoringError : IUtf8JsonSerializable, IJsonModel<TextAnalysisAuthoringError>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<TextAnalysisAuthoringError>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<TextAnalysisAuthoringError>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TextAnalysisAuthoringError>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TextAnalysisAuthoringError)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("code"u8);
+            writer.WriteStringValue(Code.ToString());
+            writer.WritePropertyName("message"u8);
+            writer.WriteStringValue(Message);
+            if (Optional.IsDefined(Target))
+            {
+                writer.WritePropertyName("target"u8);
+                writer.WriteStringValue(Target);
+            }
+            if (Optional.IsCollectionDefined(Details))
+            {
+                writer.WritePropertyName("details"u8);
+                writer.WriteStartArray();
+                foreach (var item in Details)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsDefined(Innererror))
+            {
+                writer.WritePropertyName("innererror"u8);
+                writer.WriteObjectValue(Innererror, options);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        TextAnalysisAuthoringError IJsonModel<TextAnalysisAuthoringError>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TextAnalysisAuthoringError>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TextAnalysisAuthoringError)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeTextAnalysisAuthoringError(document.RootElement, options);
+        }
+
+        internal static TextAnalysisAuthoringError DeserializeTextAnalysisAuthoringError(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ErrorCode code = default;
+            string message = default;
+            string target = default;
+            IReadOnlyList<TextAnalysisAuthoringError> details = default;
+            InnerErrorModel innererror = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("code"u8))
+                {
+                    code = new ErrorCode(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("message"u8))
+                {
+                    message = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("target"u8))
+                {
+                    target = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("details"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringError> array = new List<TextAnalysisAuthoringError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(DeserializeTextAnalysisAuthoringError(item, options));
+                    }
+                    details = array;
+                    continue;
+                }
+                if (property.NameEquals("innererror"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    innererror = InnerErrorModel.DeserializeInnerErrorModel(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new TextAnalysisAuthoringError(
+                code,
+                message,
+                target,
+                details ?? new ChangeTrackingList<TextAnalysisAuthoringError>(),
+                innererror,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<TextAnalysisAuthoringError>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TextAnalysisAuthoringError>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(TextAnalysisAuthoringError)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        TextAnalysisAuthoringError IPersistableModel<TextAnalysisAuthoringError>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TextAnalysisAuthoringError>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeTextAnalysisAuthoringError(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(TextAnalysisAuthoringError)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<TextAnalysisAuthoringError>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static TextAnalysisAuthoringError FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeTextAnalysisAuthoringError(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextAnalysisAuthoringError.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextAnalysisAuthoringError.cs
new file mode 100644
index 000000000000..769833000400
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextAnalysisAuthoringError.cs
@@ -0,0 +1,100 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The error object. </summary>
+    public partial class TextAnalysisAuthoringError
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="TextAnalysisAuthoringError"/>. </summary>
+        /// <param name="code"> One of a server-defined set of error codes. </param>
+        /// <param name="message"> A human-readable representation of the error. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="message"/> is null. </exception>
+        internal TextAnalysisAuthoringError(ErrorCode code, string message)
+        {
+            Argument.AssertNotNull(message, nameof(message));
+
+            Code = code;
+            Message = message;
+            Details = new ChangeTrackingList<TextAnalysisAuthoringError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TextAnalysisAuthoringError"/>. </summary>
+        /// <param name="code"> One of a server-defined set of error codes. </param>
+        /// <param name="message"> A human-readable representation of the error. </param>
+        /// <param name="target"> The target of the error. </param>
+        /// <param name="details"> An array of details about specific errors that led to this reported error. </param>
+        /// <param name="innererror">
+        /// An object containing more specific information than the current object about
+        /// the error.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal TextAnalysisAuthoringError(ErrorCode code, string message, string target, IReadOnlyList<TextAnalysisAuthoringError> details, InnerErrorModel innererror, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Code = code;
+            Message = message;
+            Target = target;
+            Details = details;
+            Innererror = innererror;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TextAnalysisAuthoringError"/> for deserialization. </summary>
+        internal TextAnalysisAuthoringError()
+        {
+        }
+
+        /// <summary> One of a server-defined set of error codes. </summary>
+        public ErrorCode Code { get; }
+        /// <summary> A human-readable representation of the error. </summary>
+        public string Message { get; }
+        /// <summary> The target of the error. </summary>
+        public string Target { get; }
+        /// <summary> An array of details about specific errors that led to this reported error. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringError> Details { get; }
+        /// <summary>
+        /// An object containing more specific information than the current object about
+        /// the error.
+        /// </summary>
+        public InnerErrorModel Innererror { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextAnalysisAuthoringSentiment.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextAnalysisAuthoringSentiment.cs
new file mode 100644
index 000000000000..a20dafe22d14
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextAnalysisAuthoringSentiment.cs
@@ -0,0 +1,54 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> The TextAnalysisAuthoringSentiment. </summary>
+    public readonly partial struct TextAnalysisAuthoringSentiment : IEquatable<TextAnalysisAuthoringSentiment>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="TextAnalysisAuthoringSentiment"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public TextAnalysisAuthoringSentiment(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string PositiveValue = "positive";
+        private const string NegativeValue = "negative";
+        private const string NeutralValue = "neutral";
+
+        /// <summary> positive. </summary>
+        public static TextAnalysisAuthoringSentiment Positive { get; } = new TextAnalysisAuthoringSentiment(PositiveValue);
+        /// <summary> negative. </summary>
+        public static TextAnalysisAuthoringSentiment Negative { get; } = new TextAnalysisAuthoringSentiment(NegativeValue);
+        /// <summary> neutral. </summary>
+        public static TextAnalysisAuthoringSentiment Neutral { get; } = new TextAnalysisAuthoringSentiment(NeutralValue);
+        /// <summary> Determines if two <see cref="TextAnalysisAuthoringSentiment"/> values are the same. </summary>
+        public static bool operator ==(TextAnalysisAuthoringSentiment left, TextAnalysisAuthoringSentiment right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="TextAnalysisAuthoringSentiment"/> values are not the same. </summary>
+        public static bool operator !=(TextAnalysisAuthoringSentiment left, TextAnalysisAuthoringSentiment right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="TextAnalysisAuthoringSentiment"/>. </summary>
+        public static implicit operator TextAnalysisAuthoringSentiment(string value) => new TextAnalysisAuthoringSentiment(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is TextAnalysisAuthoringSentiment other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(TextAnalysisAuthoringSentiment other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextAnalysisAuthoringWarning.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextAnalysisAuthoringWarning.Serialization.cs
new file mode 100644
index 000000000000..58afea5c33c4
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextAnalysisAuthoringWarning.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class TextAnalysisAuthoringWarning : IUtf8JsonSerializable, IJsonModel<TextAnalysisAuthoringWarning>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<TextAnalysisAuthoringWarning>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<TextAnalysisAuthoringWarning>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TextAnalysisAuthoringWarning>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TextAnalysisAuthoringWarning)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("code"u8);
+            writer.WriteStringValue(Code);
+            writer.WritePropertyName("message"u8);
+            writer.WriteStringValue(Message);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        TextAnalysisAuthoringWarning IJsonModel<TextAnalysisAuthoringWarning>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TextAnalysisAuthoringWarning>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TextAnalysisAuthoringWarning)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeTextAnalysisAuthoringWarning(document.RootElement, options);
+        }
+
+        internal static TextAnalysisAuthoringWarning DeserializeTextAnalysisAuthoringWarning(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string code = default;
+            string message = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("code"u8))
+                {
+                    code = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("message"u8))
+                {
+                    message = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new TextAnalysisAuthoringWarning(code, message, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<TextAnalysisAuthoringWarning>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TextAnalysisAuthoringWarning>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(TextAnalysisAuthoringWarning)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        TextAnalysisAuthoringWarning IPersistableModel<TextAnalysisAuthoringWarning>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TextAnalysisAuthoringWarning>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeTextAnalysisAuthoringWarning(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(TextAnalysisAuthoringWarning)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<TextAnalysisAuthoringWarning>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static TextAnalysisAuthoringWarning FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeTextAnalysisAuthoringWarning(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextAnalysisAuthoringWarning.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextAnalysisAuthoringWarning.cs
new file mode 100644
index 000000000000..5e205052d248
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextAnalysisAuthoringWarning.cs
@@ -0,0 +1,82 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents a warning that was encountered while executing the request. </summary>
+    public partial class TextAnalysisAuthoringWarning
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="TextAnalysisAuthoringWarning"/>. </summary>
+        /// <param name="code"> The warning code. </param>
+        /// <param name="message"> The warning message. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="code"/> or <paramref name="message"/> is null. </exception>
+        internal TextAnalysisAuthoringWarning(string code, string message)
+        {
+            Argument.AssertNotNull(code, nameof(code));
+            Argument.AssertNotNull(message, nameof(message));
+
+            Code = code;
+            Message = message;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TextAnalysisAuthoringWarning"/>. </summary>
+        /// <param name="code"> The warning code. </param>
+        /// <param name="message"> The warning message. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal TextAnalysisAuthoringWarning(string code, string message, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Code = code;
+            Message = message;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TextAnalysisAuthoringWarning"/> for deserialization. </summary>
+        internal TextAnalysisAuthoringWarning()
+        {
+        }
+
+        /// <summary> The warning code. </summary>
+        public string Code { get; }
+        /// <summary> The warning message. </summary>
+        public string Message { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextSentimentEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextSentimentEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..30dd31c55487
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextSentimentEvaluationSummary.Serialization.cs
@@ -0,0 +1,191 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class TextSentimentEvaluationSummary : IUtf8JsonSerializable, IJsonModel<TextSentimentEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<TextSentimentEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<TextSentimentEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TextSentimentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TextSentimentEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("spanSentimentsEvaluation"u8);
+            writer.WriteObjectValue(SpanSentimentsEvaluation, options);
+            writer.WritePropertyName("microF1"u8);
+            writer.WriteNumberValue(MicroF1);
+            writer.WritePropertyName("microPrecision"u8);
+            writer.WriteNumberValue(MicroPrecision);
+            writer.WritePropertyName("microRecall"u8);
+            writer.WriteNumberValue(MicroRecall);
+            writer.WritePropertyName("macroF1"u8);
+            writer.WriteNumberValue(MacroF1);
+            writer.WritePropertyName("macroPrecision"u8);
+            writer.WriteNumberValue(MacroPrecision);
+            writer.WritePropertyName("macroRecall"u8);
+            writer.WriteNumberValue(MacroRecall);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        TextSentimentEvaluationSummary IJsonModel<TextSentimentEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TextSentimentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TextSentimentEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeTextSentimentEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static TextSentimentEvaluationSummary DeserializeTextSentimentEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            SpanSentimentEvaluationSummary spanSentimentsEvaluation = default;
+            float microF1 = default;
+            float microPrecision = default;
+            float microRecall = default;
+            float macroF1 = default;
+            float macroPrecision = default;
+            float macroRecall = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("spanSentimentsEvaluation"u8))
+                {
+                    spanSentimentsEvaluation = SpanSentimentEvaluationSummary.DeserializeSpanSentimentEvaluationSummary(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("microF1"u8))
+                {
+                    microF1 = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("microPrecision"u8))
+                {
+                    microPrecision = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("microRecall"u8))
+                {
+                    microRecall = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroF1"u8))
+                {
+                    macroF1 = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroPrecision"u8))
+                {
+                    macroPrecision = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroRecall"u8))
+                {
+                    macroRecall = property.Value.GetSingle();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new TextSentimentEvaluationSummary(
+                spanSentimentsEvaluation,
+                microF1,
+                microPrecision,
+                microRecall,
+                macroF1,
+                macroPrecision,
+                macroRecall,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<TextSentimentEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TextSentimentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(TextSentimentEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        TextSentimentEvaluationSummary IPersistableModel<TextSentimentEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TextSentimentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeTextSentimentEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(TextSentimentEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<TextSentimentEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static TextSentimentEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeTextSentimentEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextSentimentEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextSentimentEvaluationSummary.cs
new file mode 100644
index 000000000000..1cef53f8a33c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TextSentimentEvaluationSummary.cs
@@ -0,0 +1,147 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the evaluation summary for a custom text sentiment project. </summary>
+    public partial class TextSentimentEvaluationSummary
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="TextSentimentEvaluationSummary"/>. </summary>
+        /// <param name="spanSentimentsEvaluation"> Represents evaluation of span level sentiments. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="spanSentimentsEvaluation"/> is null. </exception>
+        internal TextSentimentEvaluationSummary(SpanSentimentEvaluationSummary spanSentimentsEvaluation, float microF1, float microPrecision, float microRecall, float macroF1, float macroPrecision, float macroRecall)
+        {
+            Argument.AssertNotNull(spanSentimentsEvaluation, nameof(spanSentimentsEvaluation));
+
+            SpanSentimentsEvaluation = spanSentimentsEvaluation;
+            MicroF1 = microF1;
+            MicroPrecision = microPrecision;
+            MicroRecall = microRecall;
+            MacroF1 = macroF1;
+            MacroPrecision = macroPrecision;
+            MacroRecall = macroRecall;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TextSentimentEvaluationSummary"/>. </summary>
+        /// <param name="spanSentimentsEvaluation"> Represents evaluation of span level sentiments. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal TextSentimentEvaluationSummary(SpanSentimentEvaluationSummary spanSentimentsEvaluation, float microF1, float microPrecision, float microRecall, float macroF1, float macroPrecision, float macroRecall, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            SpanSentimentsEvaluation = spanSentimentsEvaluation;
+            MicroF1 = microF1;
+            MicroPrecision = microPrecision;
+            MicroRecall = microRecall;
+            MacroF1 = macroF1;
+            MacroPrecision = macroPrecision;
+            MacroRecall = macroRecall;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TextSentimentEvaluationSummary"/> for deserialization. </summary>
+        internal TextSentimentEvaluationSummary()
+        {
+        }
+
+        /// <summary> Represents evaluation of span level sentiments. </summary>
+        public SpanSentimentEvaluationSummary SpanSentimentsEvaluation { get; }
+        /// <summary> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </summary>
+        public float MicroF1 { get; }
+        /// <summary>
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MicroPrecision { get; }
+        /// <summary>
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MicroRecall { get; }
+        /// <summary> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </summary>
+        public float MacroF1 { get; }
+        /// <summary>
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MacroPrecision { get; }
+        /// <summary>
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MacroRecall { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingConfigVersion.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingConfigVersion.Serialization.cs
new file mode 100644
index 000000000000..640d20626ef4
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingConfigVersion.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class TrainingConfigVersion : IUtf8JsonSerializable, IJsonModel<TrainingConfigVersion>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<TrainingConfigVersion>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<TrainingConfigVersion>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingConfigVersion>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingConfigVersion)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("trainingConfigVersion"u8);
+            writer.WriteStringValue(TrainingConfigVersionProperty);
+            writer.WritePropertyName("modelExpirationDate"u8);
+            writer.WriteStringValue(ModelExpirationDate, "D");
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        TrainingConfigVersion IJsonModel<TrainingConfigVersion>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingConfigVersion>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingConfigVersion)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeTrainingConfigVersion(document.RootElement, options);
+        }
+
+        internal static TrainingConfigVersion DeserializeTrainingConfigVersion(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string trainingConfigVersion = default;
+            DateTimeOffset modelExpirationDate = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("trainingConfigVersion"u8))
+                {
+                    trainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("modelExpirationDate"u8))
+                {
+                    modelExpirationDate = property.Value.GetDateTimeOffset("D");
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new TrainingConfigVersion(trainingConfigVersion, modelExpirationDate, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<TrainingConfigVersion>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingConfigVersion>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(TrainingConfigVersion)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        TrainingConfigVersion IPersistableModel<TrainingConfigVersion>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingConfigVersion>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeTrainingConfigVersion(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(TrainingConfigVersion)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<TrainingConfigVersion>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static TrainingConfigVersion FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeTrainingConfigVersion(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingConfigVersion.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingConfigVersion.cs
new file mode 100644
index 000000000000..9b15c05d30ec
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingConfigVersion.cs
@@ -0,0 +1,81 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents a training config version. </summary>
+    public partial class TrainingConfigVersion
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="TrainingConfigVersion"/>. </summary>
+        /// <param name="trainingConfigVersionProperty"> Represents the version of the config. </param>
+        /// <param name="modelExpirationDate"> Represents the training config version expiration date. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="trainingConfigVersionProperty"/> is null. </exception>
+        internal TrainingConfigVersion(string trainingConfigVersionProperty, DateTimeOffset modelExpirationDate)
+        {
+            Argument.AssertNotNull(trainingConfigVersionProperty, nameof(trainingConfigVersionProperty));
+
+            TrainingConfigVersionProperty = trainingConfigVersionProperty;
+            ModelExpirationDate = modelExpirationDate;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingConfigVersion"/>. </summary>
+        /// <param name="trainingConfigVersionProperty"> Represents the version of the config. </param>
+        /// <param name="modelExpirationDate"> Represents the training config version expiration date. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal TrainingConfigVersion(string trainingConfigVersionProperty, DateTimeOffset modelExpirationDate, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            TrainingConfigVersionProperty = trainingConfigVersionProperty;
+            ModelExpirationDate = modelExpirationDate;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingConfigVersion"/> for deserialization. </summary>
+        internal TrainingConfigVersion()
+        {
+        }
+
+        /// <summary> Represents the version of the config. </summary>
+        public string TrainingConfigVersionProperty { get; }
+        /// <summary> Represents the training config version expiration date. </summary>
+        public DateTimeOffset ModelExpirationDate { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobConfig.Serialization.cs
new file mode 100644
index 000000000000..09a9bc2c3386
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobConfig.Serialization.cs
@@ -0,0 +1,173 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class TrainingJobConfig : IUtf8JsonSerializable, IJsonModel<TrainingJobConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<TrainingJobConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<TrainingJobConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingJobConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("modelLabel"u8);
+            writer.WriteStringValue(ModelLabel);
+            writer.WritePropertyName("trainingConfigVersion"u8);
+            writer.WriteStringValue(TrainingConfigVersion);
+            if (Optional.IsDefined(EvaluationOptions))
+            {
+                writer.WritePropertyName("evaluationOptions"u8);
+                writer.WriteObjectValue(EvaluationOptions, options);
+            }
+            if (Optional.IsDefined(DataGenerationSettings))
+            {
+                writer.WritePropertyName("dataGenerationSettings"u8);
+                writer.WriteObjectValue(DataGenerationSettings, options);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        TrainingJobConfig IJsonModel<TrainingJobConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingJobConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeTrainingJobConfig(document.RootElement, options);
+        }
+
+        internal static TrainingJobConfig DeserializeTrainingJobConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string modelLabel = default;
+            string trainingConfigVersion = default;
+            EvaluationConfig evaluationOptions = default;
+            DataGenerationSettings dataGenerationSettings = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("modelLabel"u8))
+                {
+                    modelLabel = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("trainingConfigVersion"u8))
+                {
+                    trainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("evaluationOptions"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    evaluationOptions = EvaluationConfig.DeserializeEvaluationConfig(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("dataGenerationSettings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    dataGenerationSettings = DataGenerationSettings.DeserializeDataGenerationSettings(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new TrainingJobConfig(modelLabel, trainingConfigVersion, evaluationOptions, dataGenerationSettings, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<TrainingJobConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(TrainingJobConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        TrainingJobConfig IPersistableModel<TrainingJobConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeTrainingJobConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(TrainingJobConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<TrainingJobConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static TrainingJobConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeTrainingJobConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobConfig.cs
new file mode 100644
index 000000000000..2dad4d2cf049
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobConfig.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the options for starting a new training job. </summary>
+    public partial class TrainingJobConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobConfig"/>. </summary>
+        /// <param name="modelLabel"> Represents the output model label. </param>
+        /// <param name="trainingConfigVersion"> Represents training config version. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="modelLabel"/> or <paramref name="trainingConfigVersion"/> is null. </exception>
+        public TrainingJobConfig(string modelLabel, string trainingConfigVersion)
+        {
+            Argument.AssertNotNull(modelLabel, nameof(modelLabel));
+            Argument.AssertNotNull(trainingConfigVersion, nameof(trainingConfigVersion));
+
+            ModelLabel = modelLabel;
+            TrainingConfigVersion = trainingConfigVersion;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobConfig"/>. </summary>
+        /// <param name="modelLabel"> Represents the output model label. </param>
+        /// <param name="trainingConfigVersion"> Represents training config version. </param>
+        /// <param name="evaluationOptions">
+        /// Represents the evaluation options. By default, the evaluation kind is
+        /// percentage, with training split percentage as 80, and testing split percentage
+        /// as 20.
+        /// </param>
+        /// <param name="dataGenerationSettings"> Represents the settings for using data generation as part of training a custom model. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal TrainingJobConfig(string modelLabel, string trainingConfigVersion, EvaluationConfig evaluationOptions, DataGenerationSettings dataGenerationSettings, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ModelLabel = modelLabel;
+            TrainingConfigVersion = trainingConfigVersion;
+            EvaluationOptions = evaluationOptions;
+            DataGenerationSettings = dataGenerationSettings;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobConfig"/> for deserialization. </summary>
+        internal TrainingJobConfig()
+        {
+        }
+
+        /// <summary> Represents the output model label. </summary>
+        public string ModelLabel { get; }
+        /// <summary> Represents training config version. </summary>
+        public string TrainingConfigVersion { get; }
+        /// <summary>
+        /// Represents the evaluation options. By default, the evaluation kind is
+        /// percentage, with training split percentage as 80, and testing split percentage
+        /// as 20.
+        /// </summary>
+        public EvaluationConfig EvaluationOptions { get; set; }
+        /// <summary> Represents the settings for using data generation as part of training a custom model. </summary>
+        public DataGenerationSettings DataGenerationSettings { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobResult.Serialization.cs
new file mode 100644
index 000000000000..edee651f57bf
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobResult.Serialization.cs
@@ -0,0 +1,187 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class TrainingJobResult : IUtf8JsonSerializable, IJsonModel<TrainingJobResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<TrainingJobResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<TrainingJobResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingJobResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("modelLabel"u8);
+            writer.WriteStringValue(ModelLabel);
+            writer.WritePropertyName("trainingConfigVersion"u8);
+            writer.WriteStringValue(TrainingConfigVersion);
+            writer.WritePropertyName("trainingStatus"u8);
+            writer.WriteObjectValue(TrainingStatus, options);
+            if (Optional.IsDefined(EvaluationStatus))
+            {
+                writer.WritePropertyName("evaluationStatus"u8);
+                writer.WriteObjectValue(EvaluationStatus, options);
+            }
+            if (Optional.IsDefined(EstimatedEndDateTime))
+            {
+                writer.WritePropertyName("estimatedEndDateTime"u8);
+                writer.WriteStringValue(EstimatedEndDateTime.Value, "O");
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        TrainingJobResult IJsonModel<TrainingJobResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingJobResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeTrainingJobResult(document.RootElement, options);
+        }
+
+        internal static TrainingJobResult DeserializeTrainingJobResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string modelLabel = default;
+            string trainingConfigVersion = default;
+            SubTrainingJobState trainingStatus = default;
+            SubTrainingJobState evaluationStatus = default;
+            DateTimeOffset? estimatedEndDateTime = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("modelLabel"u8))
+                {
+                    modelLabel = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("trainingConfigVersion"u8))
+                {
+                    trainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("trainingStatus"u8))
+                {
+                    trainingStatus = SubTrainingJobState.DeserializeSubTrainingJobState(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("evaluationStatus"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    evaluationStatus = SubTrainingJobState.DeserializeSubTrainingJobState(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("estimatedEndDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    estimatedEndDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new TrainingJobResult(
+                modelLabel,
+                trainingConfigVersion,
+                trainingStatus,
+                evaluationStatus,
+                estimatedEndDateTime,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<TrainingJobResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(TrainingJobResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        TrainingJobResult IPersistableModel<TrainingJobResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeTrainingJobResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(TrainingJobResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<TrainingJobResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static TrainingJobResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeTrainingJobResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobResult.cs
new file mode 100644
index 000000000000..8f1960cdc59f
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobResult.cs
@@ -0,0 +1,97 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the output of a training job. </summary>
+    public partial class TrainingJobResult
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobResult"/>. </summary>
+        /// <param name="modelLabel"> Represents trained model label. </param>
+        /// <param name="trainingConfigVersion"> Represents training config version. </param>
+        /// <param name="trainingStatus"> Represents model train status. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="modelLabel"/>, <paramref name="trainingConfigVersion"/> or <paramref name="trainingStatus"/> is null. </exception>
+        internal TrainingJobResult(string modelLabel, string trainingConfigVersion, SubTrainingJobState trainingStatus)
+        {
+            Argument.AssertNotNull(modelLabel, nameof(modelLabel));
+            Argument.AssertNotNull(trainingConfigVersion, nameof(trainingConfigVersion));
+            Argument.AssertNotNull(trainingStatus, nameof(trainingStatus));
+
+            ModelLabel = modelLabel;
+            TrainingConfigVersion = trainingConfigVersion;
+            TrainingStatus = trainingStatus;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobResult"/>. </summary>
+        /// <param name="modelLabel"> Represents trained model label. </param>
+        /// <param name="trainingConfigVersion"> Represents training config version. </param>
+        /// <param name="trainingStatus"> Represents model train status. </param>
+        /// <param name="evaluationStatus"> Represents model evaluation status. </param>
+        /// <param name="estimatedEndDateTime"> Represents the estimate end date time for training and evaluation. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal TrainingJobResult(string modelLabel, string trainingConfigVersion, SubTrainingJobState trainingStatus, SubTrainingJobState evaluationStatus, DateTimeOffset? estimatedEndDateTime, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ModelLabel = modelLabel;
+            TrainingConfigVersion = trainingConfigVersion;
+            TrainingStatus = trainingStatus;
+            EvaluationStatus = evaluationStatus;
+            EstimatedEndDateTime = estimatedEndDateTime;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobResult"/> for deserialization. </summary>
+        internal TrainingJobResult()
+        {
+        }
+
+        /// <summary> Represents trained model label. </summary>
+        public string ModelLabel { get; }
+        /// <summary> Represents training config version. </summary>
+        public string TrainingConfigVersion { get; }
+        /// <summary> Represents model train status. </summary>
+        public SubTrainingJobState TrainingStatus { get; }
+        /// <summary> Represents model evaluation status. </summary>
+        public SubTrainingJobState EvaluationStatus { get; }
+        /// <summary> Represents the estimate end date time for training and evaluation. </summary>
+        public DateTimeOffset? EstimatedEndDateTime { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobState.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobState.Serialization.cs
new file mode 100644
index 000000000000..d122237e00f2
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobState.Serialization.cs
@@ -0,0 +1,241 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class TrainingJobState : IUtf8JsonSerializable, IJsonModel<TrainingJobState>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<TrainingJobState>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<TrainingJobState>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobState>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingJobState)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("jobId"u8);
+            writer.WriteStringValue(JobId);
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            writer.WritePropertyName("result"u8);
+            writer.WriteObjectValue(Result, options);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        TrainingJobState IJsonModel<TrainingJobState>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobState>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingJobState)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeTrainingJobState(document.RootElement, options);
+        }
+
+        internal static TrainingJobState DeserializeTrainingJobState(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string jobId = default;
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<TextAnalysisAuthoringWarning> warnings = default;
+            IReadOnlyList<TextAnalysisAuthoringError> errors = default;
+            TrainingJobResult result = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("jobId"u8))
+                {
+                    jobId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringWarning> array = new List<TextAnalysisAuthoringWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringWarning.DeserializeTextAnalysisAuthoringWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<TextAnalysisAuthoringError> array = new List<TextAnalysisAuthoringError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TextAnalysisAuthoringError.DeserializeTextAnalysisAuthoringError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (property.NameEquals("result"u8))
+                {
+                    result = TrainingJobResult.DeserializeTrainingJobResult(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new TrainingJobState(
+                jobId,
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<TextAnalysisAuthoringWarning>(),
+                errors ?? new ChangeTrackingList<TextAnalysisAuthoringError>(),
+                result,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<TrainingJobState>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobState>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(TrainingJobState)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        TrainingJobState IPersistableModel<TrainingJobState>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobState>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeTrainingJobState(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(TrainingJobState)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<TrainingJobState>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static TrainingJobState FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeTrainingJobState(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobState.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobState.cs
new file mode 100644
index 000000000000..6973c112b736
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/TrainingJobState.cs
@@ -0,0 +1,114 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the state of a training job. </summary>
+    public partial class TrainingJobState
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobState"/>. </summary>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="result"> Represents training tasks detailed result. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="jobId"/> or <paramref name="result"/> is null. </exception>
+        internal TrainingJobState(string jobId, DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status, TrainingJobResult result)
+        {
+            Argument.AssertNotNull(jobId, nameof(jobId));
+            Argument.AssertNotNull(result, nameof(result));
+
+            JobId = jobId;
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<TextAnalysisAuthoringWarning>();
+            Errors = new ChangeTrackingList<TextAnalysisAuthoringError>();
+            Result = result;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobState"/>. </summary>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="result"> Represents training tasks detailed result. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal TrainingJobState(string jobId, DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<TextAnalysisAuthoringWarning> warnings, IReadOnlyList<TextAnalysisAuthoringError> errors, TrainingJobResult result, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            JobId = jobId;
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            Result = result;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobState"/> for deserialization. </summary>
+        internal TrainingJobState()
+        {
+        }
+
+        /// <summary> The job ID. </summary>
+        public string JobId { get; }
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<TextAnalysisAuthoringError> Errors { get; }
+        /// <summary> Represents training tasks detailed result. </summary>
+        public TrainingJobResult Result { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnassignDeploymentResourcesConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnassignDeploymentResourcesConfig.Serialization.cs
new file mode 100644
index 000000000000..7d2cda5da562
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnassignDeploymentResourcesConfig.Serialization.cs
@@ -0,0 +1,145 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    public partial class UnassignDeploymentResourcesConfig : IUtf8JsonSerializable, IJsonModel<UnassignDeploymentResourcesConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<UnassignDeploymentResourcesConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<UnassignDeploymentResourcesConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UnassignDeploymentResourcesConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(UnassignDeploymentResourcesConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("assignedResourceIds"u8);
+            writer.WriteStartArray();
+            foreach (var item in AssignedResourceIds)
+            {
+                writer.WriteStringValue(item);
+            }
+            writer.WriteEndArray();
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        UnassignDeploymentResourcesConfig IJsonModel<UnassignDeploymentResourcesConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UnassignDeploymentResourcesConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(UnassignDeploymentResourcesConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeUnassignDeploymentResourcesConfig(document.RootElement, options);
+        }
+
+        internal static UnassignDeploymentResourcesConfig DeserializeUnassignDeploymentResourcesConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<string> assignedResourceIds = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("assignedResourceIds"u8))
+                {
+                    List<string> array = new List<string>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(item.GetString());
+                    }
+                    assignedResourceIds = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new UnassignDeploymentResourcesConfig(assignedResourceIds, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<UnassignDeploymentResourcesConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UnassignDeploymentResourcesConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(UnassignDeploymentResourcesConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        UnassignDeploymentResourcesConfig IPersistableModel<UnassignDeploymentResourcesConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UnassignDeploymentResourcesConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeUnassignDeploymentResourcesConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(UnassignDeploymentResourcesConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<UnassignDeploymentResourcesConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static UnassignDeploymentResourcesConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeUnassignDeploymentResourcesConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnassignDeploymentResourcesConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnassignDeploymentResourcesConfig.cs
new file mode 100644
index 000000000000..e8a69731ec3a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnassignDeploymentResourcesConfig.cs
@@ -0,0 +1,76 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Represents the options to unassign Azure resources from a project. </summary>
+    public partial class UnassignDeploymentResourcesConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="UnassignDeploymentResourcesConfig"/>. </summary>
+        /// <param name="assignedResourceIds"> Represents the assigned resource IDs to be unassigned. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="assignedResourceIds"/> is null. </exception>
+        public UnassignDeploymentResourcesConfig(IEnumerable<string> assignedResourceIds)
+        {
+            Argument.AssertNotNull(assignedResourceIds, nameof(assignedResourceIds));
+
+            AssignedResourceIds = assignedResourceIds.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="UnassignDeploymentResourcesConfig"/>. </summary>
+        /// <param name="assignedResourceIds"> Represents the assigned resource IDs to be unassigned. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal UnassignDeploymentResourcesConfig(IList<string> assignedResourceIds, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            AssignedResourceIds = assignedResourceIds;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="UnassignDeploymentResourcesConfig"/> for deserialization. </summary>
+        internal UnassignDeploymentResourcesConfig()
+        {
+        }
+
+        /// <summary> Represents the assigned resource IDs to be unassigned. </summary>
+        public IList<string> AssignedResourceIds { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownDocumentEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownDocumentEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..a8dbc74a74ea
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownDocumentEvaluationResult.Serialization.cs
@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    internal partial class UnknownDocumentEvaluationResult : IUtf8JsonSerializable, IJsonModel<DocumentEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<DocumentEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<DocumentEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("location"u8);
+            writer.WriteStringValue(Location);
+            writer.WritePropertyName("language"u8);
+            writer.WriteStringValue(Language);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        DocumentEvaluationResult IJsonModel<DocumentEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DocumentEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeDocumentEvaluationResult(document.RootElement, options);
+        }
+
+        internal static UnknownDocumentEvaluationResult DeserializeUnknownDocumentEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ProjectKind projectKind = "Unknown";
+            string location = default;
+            string language = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("location"u8))
+                {
+                    location = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new UnknownDocumentEvaluationResult(projectKind, location, language, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<DocumentEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(DocumentEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        DocumentEvaluationResult IPersistableModel<DocumentEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DocumentEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeDocumentEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(DocumentEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<DocumentEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new UnknownDocumentEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeUnknownDocumentEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue<DocumentEvaluationResult>(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownDocumentEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownDocumentEvaluationResult.cs
new file mode 100644
index 000000000000..07c58e773910
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownDocumentEvaluationResult.cs
@@ -0,0 +1,34 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Unknown version of DocumentEvaluationResult. </summary>
+    internal partial class UnknownDocumentEvaluationResult : DocumentEvaluationResult
+    {
+        /// <summary> Initializes a new instance of <see cref="UnknownDocumentEvaluationResult"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="location"> Represents the document path. </param>
+        /// <param name="language">
+        /// Represents the document language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal UnknownDocumentEvaluationResult(ProjectKind projectKind, string location, string language, IDictionary<string, BinaryData> serializedAdditionalRawData) : base(projectKind, location, language, serializedAdditionalRawData)
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="UnknownDocumentEvaluationResult"/> for deserialization. </summary>
+        internal UnknownDocumentEvaluationResult()
+        {
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..424e916984cd
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownEvaluationSummary.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    internal partial class UnknownEvaluationSummary : IUtf8JsonSerializable, IJsonModel<EvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<EvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<EvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("evaluationOptions"u8);
+            writer.WriteObjectValue(EvaluationOptions, options);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        EvaluationSummary IJsonModel<EvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static UnknownEvaluationSummary DeserializeUnknownEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ProjectKind projectKind = "Unknown";
+            EvaluationConfig evaluationOptions = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("evaluationOptions"u8))
+                {
+                    evaluationOptions = EvaluationConfig.DeserializeEvaluationConfig(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new UnknownEvaluationSummary(projectKind, evaluationOptions, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<EvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(EvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        EvaluationSummary IPersistableModel<EvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(EvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<EvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new UnknownEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeUnknownEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue<EvaluationSummary>(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownEvaluationSummary.cs
new file mode 100644
index 000000000000..884ef28b80d6
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownEvaluationSummary.cs
@@ -0,0 +1,29 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Unknown version of EvaluationSummary. </summary>
+    internal partial class UnknownEvaluationSummary : EvaluationSummary
+    {
+        /// <summary> Initializes a new instance of <see cref="UnknownEvaluationSummary"/>. </summary>
+        /// <param name="projectKind"> Represents the project type that the evaluation ran on. </param>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal UnknownEvaluationSummary(ProjectKind projectKind, EvaluationConfig evaluationOptions, IDictionary<string, BinaryData> serializedAdditionalRawData) : base(projectKind, evaluationOptions, serializedAdditionalRawData)
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="UnknownEvaluationSummary"/> for deserialization. </summary>
+        internal UnknownEvaluationSummary()
+        {
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownExportedProjectAssets.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownExportedProjectAssets.Serialization.cs
new file mode 100644
index 000000000000..30e028e8e096
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownExportedProjectAssets.Serialization.cs
@@ -0,0 +1,135 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    internal partial class UnknownExportedProjectAssets : IUtf8JsonSerializable, IJsonModel<ExportedProjectAssets>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedProjectAssets>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedProjectAssets>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedProjectAssets)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedProjectAssets IJsonModel<ExportedProjectAssets>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedProjectAssets)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedProjectAssets(document.RootElement, options);
+        }
+
+        internal static UnknownExportedProjectAssets DeserializeUnknownExportedProjectAssets(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ProjectKind projectKind = "Unknown";
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new UnknownExportedProjectAssets(projectKind, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedProjectAssets>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedProjectAssets)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedProjectAssets IPersistableModel<ExportedProjectAssets>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedProjectAssets(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedProjectAssets)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedProjectAssets>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new UnknownExportedProjectAssets FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeUnknownExportedProjectAssets(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue<ExportedProjectAssets>(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownExportedProjectAssets.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownExportedProjectAssets.cs
new file mode 100644
index 000000000000..4ae8fea0f568
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/Models/UnknownExportedProjectAssets.cs
@@ -0,0 +1,28 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Models
+{
+    /// <summary> Unknown version of ExportedProjectAssets. </summary>
+    internal partial class UnknownExportedProjectAssets : ExportedProjectAssets
+    {
+        /// <summary> Initializes a new instance of <see cref="UnknownExportedProjectAssets"/>. </summary>
+        /// <param name="projectKind"></param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal UnknownExportedProjectAssets(ProjectKind projectKind, IDictionary<string, BinaryData> serializedAdditionalRawData) : base(projectKind, serializedAdditionalRawData)
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="UnknownExportedProjectAssets"/> for deserialization. </summary>
+        internal UnknownExportedProjectAssets()
+        {
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/TextAnalysisAuthoring.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/TextAnalysisAuthoring.cs
new file mode 100644
index 000000000000..827eddc005da
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Generated/TextAnalysisAuthoring.cs
@@ -0,0 +1,6850 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Text.Json;
+using System.Threading;
+using System.Threading.Tasks;
+using Autorest.CSharp.Core;
+using Azure.AI.Language.Authoring.Analyzetext.Models;
+using Azure.Core;
+using Azure.Core.Pipeline;
+
+namespace Azure.AI.Language.Authoring.Analyzetext
+{
+    // Data plane generated sub-client.
+    /// <summary> The TextAnalysisAuthoring sub-client. </summary>
+    public partial class TextAnalysisAuthoring
+    {
+        private const string AuthorizationHeader = "Ocp-Apim-Subscription-Key";
+        private readonly AzureKeyCredential _keyCredential;
+        private static readonly string[] AuthorizationScopes = new string[] { "https://cognitiveservices.azure.com/.default" };
+        private readonly TokenCredential _tokenCredential;
+        private readonly HttpPipeline _pipeline;
+        private readonly Uri _endpoint;
+        private readonly string _apiVersion;
+
+        /// <summary> The ClientDiagnostics is used to provide tracing support for the client library. </summary>
+        internal ClientDiagnostics ClientDiagnostics { get; }
+
+        /// <summary> The HTTP pipeline for sending and receiving REST requests and responses. </summary>
+        public virtual HttpPipeline Pipeline => _pipeline;
+
+        /// <summary> Initializes a new instance of TextAnalysisAuthoring for mocking. </summary>
+        protected TextAnalysisAuthoring()
+        {
+        }
+
+        /// <summary> Initializes a new instance of TextAnalysisAuthoring. </summary>
+        /// <param name="clientDiagnostics"> The handler for diagnostic messaging in the client. </param>
+        /// <param name="pipeline"> The HTTP pipeline for sending and receiving REST requests and responses. </param>
+        /// <param name="keyCredential"> The key credential to copy. </param>
+        /// <param name="tokenCredential"> The token credential to copy. </param>
+        /// <param name="endpoint">
+        /// Supported Cognitive Services endpoint (e.g.,
+        /// https://&lt;resource-name&gt;.api.cognitiveservices.azure.com).
+        /// </param>
+        /// <param name="apiVersion"> The API version to use for this operation. </param>
+        internal TextAnalysisAuthoring(ClientDiagnostics clientDiagnostics, HttpPipeline pipeline, AzureKeyCredential keyCredential, TokenCredential tokenCredential, Uri endpoint, string apiVersion)
+        {
+            ClientDiagnostics = clientDiagnostics;
+            _pipeline = pipeline;
+            _keyCredential = keyCredential;
+            _tokenCredential = tokenCredential;
+            _endpoint = endpoint;
+            _apiVersion = apiVersion;
+        }
+
+        /// <summary> Gets the details of a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjectAsync(string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetProjectResponse>> GetProjectAsync(string projectName, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetProjectAsync(projectName, context).ConfigureAwait(false);
+            return Response.FromValue(GetProjectResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the details of a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetProject(string,CancellationToken)']/*" />
+        public virtual Response<GetProjectResponse> GetProject(string projectName, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetProject(projectName, context);
+            return Response.FromValue(GetProjectResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details of a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetProjectAsync(string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjectAsync(string,RequestContext)']/*" />
+        public virtual async Task<Response> GetProjectAsync(string projectName, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetProjectRequest(projectName, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details of a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetProject(string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetProject(string,RequestContext)']/*" />
+        public virtual Response GetProject(string projectName, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetProjectRequest(projectName, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] The most basic operation that applies to a resource.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CreateProjectAsync(string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Response> CreateProjectAsync(string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.CreateProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCreateProjectRequest(projectName, content, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] The most basic operation that applies to a resource.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CreateProject(string,RequestContent,RequestContext)']/*" />
+        public virtual Response CreateProject(string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.CreateProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCreateProjectRequest(projectName, content, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// Generates a copy project operation authorization to the current target Azure
+        /// resource.
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="storageInputContainerName"> The name of the storage container. </param>
+        /// <param name="allowOverwrite">
+        /// Whether to allow an existing project to be overwritten using the resulting copy
+        /// authorization.
+        /// </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CopyProjectAuthorizationAsync(string,ProjectKind,string,bool?,CancellationToken)']/*" />
+        public virtual async Task<Response<CopyProjectConfig>> CopyProjectAuthorizationAsync(string projectName, ProjectKind projectKind, string storageInputContainerName = null, bool? allowOverwrite = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            CopyProjectAuthorizationRequest copyProjectAuthorizationRequest = new CopyProjectAuthorizationRequest(projectKind, storageInputContainerName, allowOverwrite, null);
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await CopyProjectAuthorizationAsync(projectName, copyProjectAuthorizationRequest.ToRequestContent(), context).ConfigureAwait(false);
+            return Response.FromValue(CopyProjectConfig.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// Generates a copy project operation authorization to the current target Azure
+        /// resource.
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="storageInputContainerName"> The name of the storage container. </param>
+        /// <param name="allowOverwrite">
+        /// Whether to allow an existing project to be overwritten using the resulting copy
+        /// authorization.
+        /// </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CopyProjectAuthorization(string,ProjectKind,string,bool?,CancellationToken)']/*" />
+        public virtual Response<CopyProjectConfig> CopyProjectAuthorization(string projectName, ProjectKind projectKind, string storageInputContainerName = null, bool? allowOverwrite = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            CopyProjectAuthorizationRequest copyProjectAuthorizationRequest = new CopyProjectAuthorizationRequest(projectKind, storageInputContainerName, allowOverwrite, null);
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = CopyProjectAuthorization(projectName, copyProjectAuthorizationRequest.ToRequestContent(), context);
+            return Response.FromValue(CopyProjectConfig.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Generates a copy project operation authorization to the current target Azure
+        /// resource.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="CopyProjectAuthorizationAsync(string,ProjectKind,string,bool?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CopyProjectAuthorizationAsync(string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Response> CopyProjectAuthorizationAsync(string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.CopyProjectAuthorization");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCopyProjectAuthorizationRequest(projectName, content, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Generates a copy project operation authorization to the current target Azure
+        /// resource.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="CopyProjectAuthorization(string,ProjectKind,string,bool?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CopyProjectAuthorization(string,RequestContent,RequestContext)']/*" />
+        public virtual Response CopyProjectAuthorization(string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.CopyProjectAuthorization");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCopyProjectAuthorizationRequest(projectName, content, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status of an existing copy project job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetCopyProjectStatusAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetCopyProjectStatusResponse>> GetCopyProjectStatusAsync(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetCopyProjectStatusAsync(projectName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetCopyProjectStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status of an existing copy project job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetCopyProjectStatus(string,string,CancellationToken)']/*" />
+        public virtual Response<GetCopyProjectStatusResponse> GetCopyProjectStatus(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetCopyProjectStatus(projectName, jobId, context);
+            return Response.FromValue(GetCopyProjectStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing copy project job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetCopyProjectStatusAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetCopyProjectStatusAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetCopyProjectStatusAsync(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetCopyProjectStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetCopyProjectStatusRequest(projectName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing copy project job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetCopyProjectStatus(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetCopyProjectStatus(string,string,RequestContext)']/*" />
+        public virtual Response GetCopyProjectStatus(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetCopyProjectStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetCopyProjectStatusRequest(projectName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the details of a deployment. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetDeploymentResponse>> GetDeploymentAsync(string projectName, string deploymentName, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetDeploymentAsync(projectName, deploymentName, context).ConfigureAwait(false);
+            return Response.FromValue(GetDeploymentResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the details of a deployment. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeployment(string,string,CancellationToken)']/*" />
+        public virtual Response<GetDeploymentResponse> GetDeployment(string projectName, string deploymentName, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetDeployment(projectName, deploymentName, context);
+            return Response.FromValue(GetDeploymentResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details of a deployment.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeploymentAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetDeploymentAsync(string projectName, string deploymentName, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetDeployment");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetDeploymentRequest(projectName, deploymentName, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details of a deployment.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeployment(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeployment(string,string,RequestContext)']/*" />
+        public virtual Response GetDeployment(string projectName, string deploymentName, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetDeployment");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetDeploymentRequest(projectName, deploymentName, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status of an existing delete deployment from specific resources job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentDeleteFromResourcesStatusAsync(string,string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetDeploymentDeleteFromResourcesStatusResponse>> GetDeploymentDeleteFromResourcesStatusAsync(string projectName, string deploymentName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetDeploymentDeleteFromResourcesStatusAsync(projectName, deploymentName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetDeploymentDeleteFromResourcesStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status of an existing delete deployment from specific resources job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentDeleteFromResourcesStatus(string,string,string,CancellationToken)']/*" />
+        public virtual Response<GetDeploymentDeleteFromResourcesStatusResponse> GetDeploymentDeleteFromResourcesStatus(string projectName, string deploymentName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetDeploymentDeleteFromResourcesStatus(projectName, deploymentName, jobId, context);
+            return Response.FromValue(GetDeploymentDeleteFromResourcesStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing delete deployment from specific resources job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeploymentDeleteFromResourcesStatusAsync(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentDeleteFromResourcesStatusAsync(string,string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetDeploymentDeleteFromResourcesStatusAsync(string projectName, string deploymentName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetDeploymentDeleteFromResourcesStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetDeploymentDeleteFromResourcesStatusRequest(projectName, deploymentName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing delete deployment from specific resources job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeploymentDeleteFromResourcesStatus(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentDeleteFromResourcesStatus(string,string,string,RequestContext)']/*" />
+        public virtual Response GetDeploymentDeleteFromResourcesStatus(string projectName, string deploymentName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetDeploymentDeleteFromResourcesStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetDeploymentDeleteFromResourcesStatusRequest(projectName, deploymentName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status of an existing deployment job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentStatusAsync(string,string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetDeploymentStatusResponse>> GetDeploymentStatusAsync(string projectName, string deploymentName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetDeploymentStatusAsync(projectName, deploymentName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetDeploymentStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status of an existing deployment job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentStatus(string,string,string,CancellationToken)']/*" />
+        public virtual Response<GetDeploymentStatusResponse> GetDeploymentStatus(string projectName, string deploymentName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetDeploymentStatus(projectName, deploymentName, jobId, context);
+            return Response.FromValue(GetDeploymentStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing deployment job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeploymentStatusAsync(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentStatusAsync(string,string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetDeploymentStatusAsync(string projectName, string deploymentName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetDeploymentStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetDeploymentStatusRequest(projectName, deploymentName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing deployment job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeploymentStatus(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentStatus(string,string,string,RequestContext)']/*" />
+        public virtual Response GetDeploymentStatus(string projectName, string deploymentName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetDeploymentStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetDeploymentStatusRequest(projectName, deploymentName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status of an existing swap deployment job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetSwapDeploymentsStatusAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetSwapDeploymentsStatusResponse>> GetSwapDeploymentsStatusAsync(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetSwapDeploymentsStatusAsync(projectName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetSwapDeploymentsStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status of an existing swap deployment job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetSwapDeploymentsStatus(string,string,CancellationToken)']/*" />
+        public virtual Response<GetSwapDeploymentsStatusResponse> GetSwapDeploymentsStatus(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetSwapDeploymentsStatus(projectName, jobId, context);
+            return Response.FromValue(GetSwapDeploymentsStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing swap deployment job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetSwapDeploymentsStatusAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetSwapDeploymentsStatusAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetSwapDeploymentsStatusAsync(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetSwapDeploymentsStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetSwapDeploymentsStatusRequest(projectName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing swap deployment job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetSwapDeploymentsStatus(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetSwapDeploymentsStatus(string,string,RequestContext)']/*" />
+        public virtual Response GetSwapDeploymentsStatus(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetSwapDeploymentsStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetSwapDeploymentsStatusRequest(projectName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// Gets the status of an export job. Once job completes, returns the project
+        /// metadata, and assets.
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportStatusAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetExportStatusResponse>> GetExportStatusAsync(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetExportStatusAsync(projectName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetExportStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// Gets the status of an export job. Once job completes, returns the project
+        /// metadata, and assets.
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportStatus(string,string,CancellationToken)']/*" />
+        public virtual Response<GetExportStatusResponse> GetExportStatus(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetExportStatus(projectName, jobId, context);
+            return Response.FromValue(GetExportStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an export job. Once job completes, returns the project
+        /// metadata, and assets.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportStatusAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportStatusAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetExportStatusAsync(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetExportStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetExportStatusRequest(projectName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an export job. Once job completes, returns the project
+        /// metadata, and assets.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportStatus(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportStatus(string,string,RequestContext)']/*" />
+        public virtual Response GetExportStatus(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetExportStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetExportStatusRequest(projectName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the details of an exported model. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetExportedModelResponse>> GetExportedModelAsync(string projectName, string exportedModelName, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetExportedModelAsync(projectName, exportedModelName, context).ConfigureAwait(false);
+            return Response.FromValue(GetExportedModelResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the details of an exported model. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModel(string,string,CancellationToken)']/*" />
+        public virtual Response<GetExportedModelResponse> GetExportedModel(string projectName, string exportedModelName, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetExportedModel(projectName, exportedModelName, context);
+            return Response.FromValue(GetExportedModelResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details of an exported model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportedModelAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetExportedModelAsync(string projectName, string exportedModelName, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetExportedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetExportedModelRequest(projectName, exportedModelName, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details of an exported model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportedModel(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModel(string,string,RequestContext)']/*" />
+        public virtual Response GetExportedModel(string projectName, string exportedModelName, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetExportedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetExportedModelRequest(projectName, exportedModelName, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status for an existing job to create or update an exported model. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelJobStatusAsync(string,string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetExportedModelJobStatusResponse>> GetExportedModelJobStatusAsync(string projectName, string exportedModelName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetExportedModelJobStatusAsync(projectName, exportedModelName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetExportedModelJobStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status for an existing job to create or update an exported model. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelJobStatus(string,string,string,CancellationToken)']/*" />
+        public virtual Response<GetExportedModelJobStatusResponse> GetExportedModelJobStatus(string projectName, string exportedModelName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetExportedModelJobStatus(projectName, exportedModelName, jobId, context);
+            return Response.FromValue(GetExportedModelJobStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for an existing job to create or update an exported model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportedModelJobStatusAsync(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelJobStatusAsync(string,string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetExportedModelJobStatusAsync(string projectName, string exportedModelName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetExportedModelJobStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetExportedModelJobStatusRequest(projectName, exportedModelName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for an existing job to create or update an exported model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportedModelJobStatus(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelJobStatus(string,string,string,RequestContext)']/*" />
+        public virtual Response GetExportedModelJobStatus(string projectName, string exportedModelName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetExportedModelJobStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetExportedModelJobStatusRequest(projectName, exportedModelName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the details and URL needed to download the exported model. </summary>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelManifestAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<ExportedModelManifest>> GetExportedModelManifestAsync(string projectName, string exportedModelName, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetExportedModelManifestAsync(projectName, exportedModelName, context).ConfigureAwait(false);
+            return Response.FromValue(ExportedModelManifest.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the details and URL needed to download the exported model. </summary>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelManifest(string,string,CancellationToken)']/*" />
+        public virtual Response<ExportedModelManifest> GetExportedModelManifest(string projectName, string exportedModelName, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetExportedModelManifest(projectName, exportedModelName, context);
+            return Response.FromValue(ExportedModelManifest.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details and URL needed to download the exported model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportedModelManifestAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelManifestAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetExportedModelManifestAsync(string projectName, string exportedModelName, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetExportedModelManifest");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetExportedModelManifestRequest(projectName, exportedModelName, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details and URL needed to download the exported model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportedModelManifest(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelManifest(string,string,RequestContext)']/*" />
+        public virtual Response GetExportedModelManifest(string projectName, string exportedModelName, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetExportedModelManifest");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetExportedModelManifestRequest(projectName, exportedModelName, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status for an import. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetImportStatusAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetImportStatusResponse>> GetImportStatusAsync(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetImportStatusAsync(projectName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetImportStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status for an import. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetImportStatus(string,string,CancellationToken)']/*" />
+        public virtual Response<GetImportStatusResponse> GetImportStatus(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetImportStatus(projectName, jobId, context);
+            return Response.FromValue(GetImportStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for an import.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetImportStatusAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetImportStatusAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetImportStatusAsync(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetImportStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetImportStatusRequest(projectName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for an import.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetImportStatus(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetImportStatus(string,string,RequestContext)']/*" />
+        public virtual Response GetImportStatus(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetImportStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetImportStatusRequest(projectName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the details of a trained model. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainedModelAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetTrainedModelResponse>> GetTrainedModelAsync(string projectName, string trainedModelLabel, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetTrainedModelAsync(projectName, trainedModelLabel, context).ConfigureAwait(false);
+            return Response.FromValue(GetTrainedModelResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the details of a trained model. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainedModel(string,string,CancellationToken)']/*" />
+        public virtual Response<GetTrainedModelResponse> GetTrainedModel(string projectName, string trainedModelLabel, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetTrainedModel(projectName, trainedModelLabel, context);
+            return Response.FromValue(GetTrainedModelResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details of a trained model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainedModelAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainedModelAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetTrainedModelAsync(string projectName, string trainedModelLabel, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetTrainedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetTrainedModelRequest(projectName, trainedModelLabel, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details of a trained model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainedModel(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainedModel(string,string,RequestContext)']/*" />
+        public virtual Response GetTrainedModel(string projectName, string trainedModelLabel, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetTrainedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetTrainedModelRequest(projectName, trainedModelLabel, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Deletes an existing trained model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteTrainedModelAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> DeleteTrainedModelAsync(string projectName, string trainedModelLabel, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.DeleteTrainedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteTrainedModelRequest(projectName, trainedModelLabel, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Deletes an existing trained model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteTrainedModel(string,string,RequestContext)']/*" />
+        public virtual Response DeleteTrainedModel(string projectName, string trainedModelLabel, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.DeleteTrainedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteTrainedModelRequest(projectName, trainedModelLabel, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status for an evaluation job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetEvaluationStatusAsync(string,string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetEvaluationStatusResponse>> GetEvaluationStatusAsync(string projectName, string trainedModelLabel, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetEvaluationStatusAsync(projectName, trainedModelLabel, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetEvaluationStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status for an evaluation job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetEvaluationStatus(string,string,string,CancellationToken)']/*" />
+        public virtual Response<GetEvaluationStatusResponse> GetEvaluationStatus(string projectName, string trainedModelLabel, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetEvaluationStatus(projectName, trainedModelLabel, jobId, context);
+            return Response.FromValue(GetEvaluationStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for an evaluation job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetEvaluationStatusAsync(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetEvaluationStatusAsync(string,string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetEvaluationStatusAsync(string projectName, string trainedModelLabel, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetEvaluationStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetEvaluationStatusRequest(projectName, trainedModelLabel, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for an evaluation job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetEvaluationStatus(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetEvaluationStatus(string,string,string,RequestContext)']/*" />
+        public virtual Response GetEvaluationStatus(string projectName, string trainedModelLabel, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetEvaluationStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetEvaluationStatusRequest(projectName, trainedModelLabel, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// Gets the evaluation summary of a trained model. The summary includes high level
+        /// performance measurements of the model e.g., F1, Precision, Recall, etc.
+        /// </summary>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetModelEvaluationSummaryAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<EvaluationSummary>> GetModelEvaluationSummaryAsync(string projectName, string trainedModelLabel, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetModelEvaluationSummaryAsync(projectName, trainedModelLabel, context).ConfigureAwait(false);
+            return Response.FromValue(EvaluationSummary.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// Gets the evaluation summary of a trained model. The summary includes high level
+        /// performance measurements of the model e.g., F1, Precision, Recall, etc.
+        /// </summary>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetModelEvaluationSummary(string,string,CancellationToken)']/*" />
+        public virtual Response<EvaluationSummary> GetModelEvaluationSummary(string projectName, string trainedModelLabel, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetModelEvaluationSummary(projectName, trainedModelLabel, context);
+            return Response.FromValue(EvaluationSummary.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the evaluation summary of a trained model. The summary includes high level
+        /// performance measurements of the model e.g., F1, Precision, Recall, etc.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetModelEvaluationSummaryAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetModelEvaluationSummaryAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetModelEvaluationSummaryAsync(string projectName, string trainedModelLabel, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetModelEvaluationSummary");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetModelEvaluationSummaryRequest(projectName, trainedModelLabel, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the evaluation summary of a trained model. The summary includes high level
+        /// performance measurements of the model e.g., F1, Precision, Recall, etc.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetModelEvaluationSummary(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetModelEvaluationSummary(string,string,RequestContext)']/*" />
+        public virtual Response GetModelEvaluationSummary(string projectName, string trainedModelLabel, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetModelEvaluationSummary");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetModelEvaluationSummaryRequest(projectName, trainedModelLabel, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status for loading a snapshot. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetLoadSnapshotStatusAsync(string,string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetLoadSnapshotStatusResponse>> GetLoadSnapshotStatusAsync(string projectName, string trainedModelLabel, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetLoadSnapshotStatusAsync(projectName, trainedModelLabel, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetLoadSnapshotStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status for loading a snapshot. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetLoadSnapshotStatus(string,string,string,CancellationToken)']/*" />
+        public virtual Response<GetLoadSnapshotStatusResponse> GetLoadSnapshotStatus(string projectName, string trainedModelLabel, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetLoadSnapshotStatus(projectName, trainedModelLabel, jobId, context);
+            return Response.FromValue(GetLoadSnapshotStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for loading a snapshot.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetLoadSnapshotStatusAsync(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetLoadSnapshotStatusAsync(string,string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetLoadSnapshotStatusAsync(string projectName, string trainedModelLabel, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetLoadSnapshotStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetLoadSnapshotStatusRequest(projectName, trainedModelLabel, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for loading a snapshot.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetLoadSnapshotStatus(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetLoadSnapshotStatus(string,string,string,RequestContext)']/*" />
+        public virtual Response GetLoadSnapshotStatus(string projectName, string trainedModelLabel, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetLoadSnapshotStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetLoadSnapshotStatusRequest(projectName, trainedModelLabel, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status of an existing assign deployment resources job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetAssignDeploymentResourcesStatusAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetAssignDeploymentResourcesStatusResponse>> GetAssignDeploymentResourcesStatusAsync(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetAssignDeploymentResourcesStatusAsync(projectName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetAssignDeploymentResourcesStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status of an existing assign deployment resources job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetAssignDeploymentResourcesStatus(string,string,CancellationToken)']/*" />
+        public virtual Response<GetAssignDeploymentResourcesStatusResponse> GetAssignDeploymentResourcesStatus(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetAssignDeploymentResourcesStatus(projectName, jobId, context);
+            return Response.FromValue(GetAssignDeploymentResourcesStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing assign deployment resources job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetAssignDeploymentResourcesStatusAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetAssignDeploymentResourcesStatusAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetAssignDeploymentResourcesStatusAsync(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetAssignDeploymentResourcesStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetAssignDeploymentResourcesStatusRequest(projectName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing assign deployment resources job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetAssignDeploymentResourcesStatus(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetAssignDeploymentResourcesStatus(string,string,RequestContext)']/*" />
+        public virtual Response GetAssignDeploymentResourcesStatus(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetAssignDeploymentResourcesStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetAssignDeploymentResourcesStatusRequest(projectName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status of an existing unassign deployment resources job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetUnassignDeploymentResourcesStatusAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetUnassignDeploymentResourcesStatusResponse>> GetUnassignDeploymentResourcesStatusAsync(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetUnassignDeploymentResourcesStatusAsync(projectName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetUnassignDeploymentResourcesStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status of an existing unassign deployment resources job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetUnassignDeploymentResourcesStatus(string,string,CancellationToken)']/*" />
+        public virtual Response<GetUnassignDeploymentResourcesStatusResponse> GetUnassignDeploymentResourcesStatus(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetUnassignDeploymentResourcesStatus(projectName, jobId, context);
+            return Response.FromValue(GetUnassignDeploymentResourcesStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing unassign deployment resources job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetUnassignDeploymentResourcesStatusAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetUnassignDeploymentResourcesStatusAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetUnassignDeploymentResourcesStatusAsync(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetUnassignDeploymentResourcesStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetUnassignDeploymentResourcesStatusRequest(projectName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing unassign deployment resources job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetUnassignDeploymentResourcesStatus(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetUnassignDeploymentResourcesStatus(string,string,RequestContext)']/*" />
+        public virtual Response GetUnassignDeploymentResourcesStatus(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetUnassignDeploymentResourcesStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetUnassignDeploymentResourcesStatusRequest(projectName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status for a training job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingStatusAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetTrainingStatusResponse>> GetTrainingStatusAsync(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetTrainingStatusAsync(projectName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetTrainingStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status for a training job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingStatus(string,string,CancellationToken)']/*" />
+        public virtual Response<GetTrainingStatusResponse> GetTrainingStatus(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetTrainingStatus(projectName, jobId, context);
+            return Response.FromValue(GetTrainingStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for a training job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainingStatusAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingStatusAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetTrainingStatusAsync(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetTrainingStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetTrainingStatusRequest(projectName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for a training job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainingStatus(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingStatus(string,string,RequestContext)']/*" />
+        public virtual Response GetTrainingStatus(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetTrainingStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetTrainingStatusRequest(projectName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status for a project deletion job. </summary>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjectDeletionStatusAsync(string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetProjectDeletionStatusResponse>> GetProjectDeletionStatusAsync(string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetProjectDeletionStatusAsync(jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetProjectDeletionStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status for a project deletion job. </summary>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjectDeletionStatus(string,CancellationToken)']/*" />
+        public virtual Response<GetProjectDeletionStatusResponse> GetProjectDeletionStatus(string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetProjectDeletionStatus(jobId, context);
+            return Response.FromValue(GetProjectDeletionStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for a project deletion job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetProjectDeletionStatusAsync(string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjectDeletionStatusAsync(string,RequestContext)']/*" />
+        public virtual async Task<Response> GetProjectDeletionStatusAsync(string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetProjectDeletionStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetProjectDeletionStatusRequest(jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for a project deletion job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetProjectDeletionStatus(string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjectDeletionStatus(string,RequestContext)']/*" />
+        public virtual Response GetProjectDeletionStatus(string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.GetProjectDeletionStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetProjectDeletionStatusRequest(jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Lists the existing projects. </summary>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjectsAsync(int?,int?,int?,CancellationToken)']/*" />
+        public virtual AsyncPageable<ProjectMetadata> GetProjectsAsync(int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetProjectsRequest(maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetProjectsNextPageRequest(nextLink, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => ProjectMetadata.DeserializeProjectMetadata(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetProjects", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the existing projects. </summary>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjects(int?,int?,int?,CancellationToken)']/*" />
+        public virtual Pageable<ProjectMetadata> GetProjects(int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetProjectsRequest(maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetProjectsNextPageRequest(nextLink, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => ProjectMetadata.DeserializeProjectMetadata(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetProjects", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the existing projects.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetProjectsAsync(int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjectsAsync(int?,int?,int?,RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetProjectsAsync(int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetProjectsRequest(maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetProjectsNextPageRequest(nextLink, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetProjects", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the existing projects.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetProjects(int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjects(int?,int?,int?,RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetProjects(int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetProjectsRequest(maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetProjectsNextPageRequest(nextLink, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetProjects", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the deployments belonging to a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentsAsync(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual AsyncPageable<ProjectDeployment> GetDeploymentsAsync(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetDeploymentsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetDeploymentsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => ProjectDeployment.DeserializeProjectDeployment(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetDeployments", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the deployments belonging to a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeployments(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual Pageable<ProjectDeployment> GetDeployments(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetDeploymentsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetDeploymentsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => ProjectDeployment.DeserializeProjectDeployment(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetDeployments", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the deployments belonging to a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeploymentsAsync(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentsAsync(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetDeploymentsAsync(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetDeploymentsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetDeploymentsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetDeployments", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the deployments belonging to a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeployments(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeployments(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetDeployments(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetDeploymentsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetDeploymentsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetDeployments", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the exported models belonging to a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelsAsync(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual AsyncPageable<ExportedTrainedModel> GetExportedModelsAsync(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetExportedModelsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetExportedModelsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => ExportedTrainedModel.DeserializeExportedTrainedModel(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetExportedModels", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the exported models belonging to a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModels(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual Pageable<ExportedTrainedModel> GetExportedModels(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetExportedModelsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetExportedModelsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => ExportedTrainedModel.DeserializeExportedTrainedModel(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetExportedModels", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the exported models belonging to a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportedModelsAsync(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelsAsync(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetExportedModelsAsync(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetExportedModelsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetExportedModelsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetExportedModels", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the exported models belonging to a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportedModels(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModels(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetExportedModels(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetExportedModelsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetExportedModelsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetExportedModels", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the trained models belonging to a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainedModelsAsync(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual AsyncPageable<ProjectTrainedModel> GetTrainedModelsAsync(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainedModelsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainedModelsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => ProjectTrainedModel.DeserializeProjectTrainedModel(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetTrainedModels", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the trained models belonging to a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainedModels(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual Pageable<ProjectTrainedModel> GetTrainedModels(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainedModelsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainedModelsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => ProjectTrainedModel.DeserializeProjectTrainedModel(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetTrainedModels", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the trained models belonging to a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainedModelsAsync(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainedModelsAsync(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetTrainedModelsAsync(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainedModelsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainedModelsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetTrainedModels", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the trained models belonging to a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainedModels(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainedModels(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetTrainedModels(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainedModelsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainedModelsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetTrainedModels", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// Gets the detailed results of the evaluation for a trained model. This includes
+        /// the raw inference results for the data included in the evaluation process.
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets.
+        /// </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetModelEvaluationResultsAsync(string,string,StringIndexType,int?,int?,int?,CancellationToken)']/*" />
+        public virtual AsyncPageable<DocumentEvaluationResult> GetModelEvaluationResultsAsync(string projectName, string trainedModelLabel, StringIndexType stringIndexType, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetModelEvaluationResultsRequest(projectName, trainedModelLabel, stringIndexType.ToString(), maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetModelEvaluationResultsNextPageRequest(nextLink, projectName, trainedModelLabel, stringIndexType.ToString(), maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => DocumentEvaluationResult.DeserializeDocumentEvaluationResult(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetModelEvaluationResults", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// Gets the detailed results of the evaluation for a trained model. This includes
+        /// the raw inference results for the data included in the evaluation process.
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets.
+        /// </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetModelEvaluationResults(string,string,StringIndexType,int?,int?,int?,CancellationToken)']/*" />
+        public virtual Pageable<DocumentEvaluationResult> GetModelEvaluationResults(string projectName, string trainedModelLabel, StringIndexType stringIndexType, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetModelEvaluationResultsRequest(projectName, trainedModelLabel, stringIndexType.ToString(), maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetModelEvaluationResultsNextPageRequest(nextLink, projectName, trainedModelLabel, stringIndexType.ToString(), maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => DocumentEvaluationResult.DeserializeDocumentEvaluationResult(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetModelEvaluationResults", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the detailed results of the evaluation for a trained model. This includes
+        /// the raw inference results for the data included in the evaluation process.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetModelEvaluationResultsAsync(string,string,StringIndexType,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets. Allowed values: "Utf16CodeUnit"
+        /// </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="stringIndexType"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetModelEvaluationResultsAsync(string,string,string,int?,int?,int?,RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetModelEvaluationResultsAsync(string projectName, string trainedModelLabel, string stringIndexType, int? maxCount = null, int? skip = null, int? maxpagesize = null, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNull(stringIndexType, nameof(stringIndexType));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetModelEvaluationResultsRequest(projectName, trainedModelLabel, stringIndexType, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetModelEvaluationResultsNextPageRequest(nextLink, projectName, trainedModelLabel, stringIndexType, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetModelEvaluationResults", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the detailed results of the evaluation for a trained model. This includes
+        /// the raw inference results for the data included in the evaluation process.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetModelEvaluationResults(string,string,StringIndexType,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets. Allowed values: "Utf16CodeUnit"
+        /// </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="stringIndexType"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetModelEvaluationResults(string,string,string,int?,int?,int?,RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetModelEvaluationResults(string projectName, string trainedModelLabel, string stringIndexType, int? maxCount = null, int? skip = null, int? maxpagesize = null, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNull(stringIndexType, nameof(stringIndexType));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetModelEvaluationResultsRequest(projectName, trainedModelLabel, stringIndexType, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetModelEvaluationResultsNextPageRequest(nextLink, projectName, trainedModelLabel, stringIndexType, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetModelEvaluationResults", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the deployments resources assigned to the project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentResourcesAsync(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual AsyncPageable<AssignedDeploymentResource> GetDeploymentResourcesAsync(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetDeploymentResourcesRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetDeploymentResourcesNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => AssignedDeploymentResource.DeserializeAssignedDeploymentResource(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetDeploymentResources", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the deployments resources assigned to the project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentResources(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual Pageable<AssignedDeploymentResource> GetDeploymentResources(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetDeploymentResourcesRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetDeploymentResourcesNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => AssignedDeploymentResource.DeserializeAssignedDeploymentResource(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetDeploymentResources", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the deployments resources assigned to the project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeploymentResourcesAsync(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentResourcesAsync(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetDeploymentResourcesAsync(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetDeploymentResourcesRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetDeploymentResourcesNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetDeploymentResources", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the deployments resources assigned to the project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeploymentResources(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentResources(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetDeploymentResources(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetDeploymentResourcesRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetDeploymentResourcesNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetDeploymentResources", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the non-expired training jobs created for a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingJobsAsync(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual AsyncPageable<TrainingJobState> GetTrainingJobsAsync(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainingJobsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainingJobsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => TrainingJobState.DeserializeTrainingJobState(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetTrainingJobs", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the non-expired training jobs created for a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingJobs(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual Pageable<TrainingJobState> GetTrainingJobs(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainingJobsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainingJobsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => TrainingJobState.DeserializeTrainingJobState(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetTrainingJobs", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the non-expired training jobs created for a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainingJobsAsync(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingJobsAsync(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetTrainingJobsAsync(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainingJobsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainingJobsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetTrainingJobs", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the non-expired training jobs created for a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainingJobs(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingJobs(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetTrainingJobs(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainingJobsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainingJobsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetTrainingJobs", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// Lists the deployments to which an Azure resource is assigned. This doesn't
+        /// return deployments belonging to projects owned by this resource. It only
+        /// returns deployments belonging to projects owned by other resources.
+        /// </summary>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetAssignedResourceDeploymentsAsync(int?,int?,int?,CancellationToken)']/*" />
+        public virtual AsyncPageable<AssignedProjectDeploymentsMetadata> GetAssignedResourceDeploymentsAsync(int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetAssignedResourceDeploymentsRequest(maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetAssignedResourceDeploymentsNextPageRequest(nextLink, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => AssignedProjectDeploymentsMetadata.DeserializeAssignedProjectDeploymentsMetadata(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetAssignedResourceDeployments", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// Lists the deployments to which an Azure resource is assigned. This doesn't
+        /// return deployments belonging to projects owned by this resource. It only
+        /// returns deployments belonging to projects owned by other resources.
+        /// </summary>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetAssignedResourceDeployments(int?,int?,int?,CancellationToken)']/*" />
+        public virtual Pageable<AssignedProjectDeploymentsMetadata> GetAssignedResourceDeployments(int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetAssignedResourceDeploymentsRequest(maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetAssignedResourceDeploymentsNextPageRequest(nextLink, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => AssignedProjectDeploymentsMetadata.DeserializeAssignedProjectDeploymentsMetadata(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetAssignedResourceDeployments", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the deployments to which an Azure resource is assigned. This doesn't
+        /// return deployments belonging to projects owned by this resource. It only
+        /// returns deployments belonging to projects owned by other resources.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetAssignedResourceDeploymentsAsync(int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetAssignedResourceDeploymentsAsync(int?,int?,int?,RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetAssignedResourceDeploymentsAsync(int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetAssignedResourceDeploymentsRequest(maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetAssignedResourceDeploymentsNextPageRequest(nextLink, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetAssignedResourceDeployments", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the deployments to which an Azure resource is assigned. This doesn't
+        /// return deployments belonging to projects owned by this resource. It only
+        /// returns deployments belonging to projects owned by other resources.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetAssignedResourceDeployments(int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetAssignedResourceDeployments(int?,int?,int?,RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetAssignedResourceDeployments(int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetAssignedResourceDeploymentsRequest(maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetAssignedResourceDeploymentsNextPageRequest(nextLink, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetAssignedResourceDeployments", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the supported languages. </summary>
+        /// <param name="projectKind"> The project kind, default value is CustomSingleLabelClassification. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetSupportedLanguagesAsync(ProjectKind?,int?,int?,int?,CancellationToken)']/*" />
+        public virtual AsyncPageable<SupportedLanguage> GetSupportedLanguagesAsync(ProjectKind? projectKind = null, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetSupportedLanguagesRequest(projectKind?.ToString(), maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetSupportedLanguagesNextPageRequest(nextLink, projectKind?.ToString(), maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => SupportedLanguage.DeserializeSupportedLanguage(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetSupportedLanguages", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the supported languages. </summary>
+        /// <param name="projectKind"> The project kind, default value is CustomSingleLabelClassification. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetSupportedLanguages(ProjectKind?,int?,int?,int?,CancellationToken)']/*" />
+        public virtual Pageable<SupportedLanguage> GetSupportedLanguages(ProjectKind? projectKind = null, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetSupportedLanguagesRequest(projectKind?.ToString(), maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetSupportedLanguagesNextPageRequest(nextLink, projectKind?.ToString(), maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => SupportedLanguage.DeserializeSupportedLanguage(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetSupportedLanguages", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the supported languages.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetSupportedLanguagesAsync(ProjectKind?,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectKind"> The project kind, default value is CustomSingleLabelClassification. Allowed values: "CustomSingleLabelClassification" | "CustomMultiLabelClassification" | "CustomEntityRecognition" | "CustomAbstractiveSummarization" | "CustomHealthcare" | "CustomTextSentiment". </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetSupportedLanguagesAsync(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetSupportedLanguagesAsync(string projectKind, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetSupportedLanguagesRequest(projectKind, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetSupportedLanguagesNextPageRequest(nextLink, projectKind, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetSupportedLanguages", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the supported languages.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetSupportedLanguages(ProjectKind?,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectKind"> The project kind, default value is CustomSingleLabelClassification. Allowed values: "CustomSingleLabelClassification" | "CustomMultiLabelClassification" | "CustomEntityRecognition" | "CustomAbstractiveSummarization" | "CustomHealthcare" | "CustomTextSentiment". </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetSupportedLanguages(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetSupportedLanguages(string projectKind, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetSupportedLanguagesRequest(projectKind, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetSupportedLanguagesNextPageRequest(nextLink, projectKind, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetSupportedLanguages", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// Lists the supported prebuilt entities that can be used while creating composed
+        /// entities.
+        /// </summary>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetSupportedPrebuiltEntitiesAsync(CancellationToken)']/*" />
+        public virtual AsyncPageable<PrebuiltEntity> GetSupportedPrebuiltEntitiesAsync(CancellationToken cancellationToken = default)
+        {
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetSupportedPrebuiltEntitiesRequest(context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetSupportedPrebuiltEntitiesNextPageRequest(nextLink, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => PrebuiltEntity.DeserializePrebuiltEntity(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetSupportedPrebuiltEntities", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// Lists the supported prebuilt entities that can be used while creating composed
+        /// entities.
+        /// </summary>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetSupportedPrebuiltEntities(CancellationToken)']/*" />
+        public virtual Pageable<PrebuiltEntity> GetSupportedPrebuiltEntities(CancellationToken cancellationToken = default)
+        {
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetSupportedPrebuiltEntitiesRequest(context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetSupportedPrebuiltEntitiesNextPageRequest(nextLink, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => PrebuiltEntity.DeserializePrebuiltEntity(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetSupportedPrebuiltEntities", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the supported prebuilt entities that can be used while creating composed
+        /// entities.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetSupportedPrebuiltEntitiesAsync(CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetSupportedPrebuiltEntitiesAsync(RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetSupportedPrebuiltEntitiesAsync(RequestContext context)
+        {
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetSupportedPrebuiltEntitiesRequest(context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetSupportedPrebuiltEntitiesNextPageRequest(nextLink, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetSupportedPrebuiltEntities", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the supported prebuilt entities that can be used while creating composed
+        /// entities.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetSupportedPrebuiltEntities(CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetSupportedPrebuiltEntities(RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetSupportedPrebuiltEntities(RequestContext context)
+        {
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetSupportedPrebuiltEntitiesRequest(context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetSupportedPrebuiltEntitiesNextPageRequest(nextLink, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetSupportedPrebuiltEntities", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the support training config version for a given project type. </summary>
+        /// <param name="projectKind"> The project kind, default value is CustomSingleLabelClassification. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingConfigVersionsAsync(ProjectKind?,int?,int?,int?,CancellationToken)']/*" />
+        public virtual AsyncPageable<TrainingConfigVersion> GetTrainingConfigVersionsAsync(ProjectKind? projectKind = null, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainingConfigVersionsRequest(projectKind?.ToString(), maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainingConfigVersionsNextPageRequest(nextLink, projectKind?.ToString(), maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => TrainingConfigVersion.DeserializeTrainingConfigVersion(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetTrainingConfigVersions", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the support training config version for a given project type. </summary>
+        /// <param name="projectKind"> The project kind, default value is CustomSingleLabelClassification. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingConfigVersions(ProjectKind?,int?,int?,int?,CancellationToken)']/*" />
+        public virtual Pageable<TrainingConfigVersion> GetTrainingConfigVersions(ProjectKind? projectKind = null, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainingConfigVersionsRequest(projectKind?.ToString(), maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainingConfigVersionsNextPageRequest(nextLink, projectKind?.ToString(), maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => TrainingConfigVersion.DeserializeTrainingConfigVersion(e), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetTrainingConfigVersions", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the support training config version for a given project type.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainingConfigVersionsAsync(ProjectKind?,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectKind"> The project kind, default value is CustomSingleLabelClassification. Allowed values: "CustomSingleLabelClassification" | "CustomMultiLabelClassification" | "CustomEntityRecognition" | "CustomAbstractiveSummarization" | "CustomHealthcare" | "CustomTextSentiment". </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingConfigVersionsAsync(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetTrainingConfigVersionsAsync(string projectKind, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainingConfigVersionsRequest(projectKind, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainingConfigVersionsNextPageRequest(nextLink, projectKind, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetTrainingConfigVersions", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the support training config version for a given project type.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainingConfigVersions(ProjectKind?,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectKind"> The project kind, default value is CustomSingleLabelClassification. Allowed values: "CustomSingleLabelClassification" | "CustomMultiLabelClassification" | "CustomEntityRecognition" | "CustomAbstractiveSummarization" | "CustomHealthcare" | "CustomTextSentiment". </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingConfigVersions(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetTrainingConfigVersions(string projectKind, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainingConfigVersionsRequest(projectKind, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainingConfigVersionsNextPageRequest(nextLink, projectKind, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "TextAnalysisAuthoring.GetTrainingConfigVersions", "value", "nextLink", context);
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Deletes a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteProjectAsync(WaitUntil,string,RequestContext)']/*" />
+        public virtual async Task<Operation> DeleteProjectAsync(WaitUntil waitUntil, string projectName, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.DeleteProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteProjectRequest(projectName, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.DeleteProject", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Deletes a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteProject(WaitUntil,string,RequestContext)']/*" />
+        public virtual Operation DeleteProject(WaitUntil waitUntil, string projectName, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.DeleteProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteProjectRequest(projectName, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.DeleteProject", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Copies an existing project to another Azure resource. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The copy project info. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CopyProjectAsync(WaitUntil,string,CopyProjectConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation> CopyProjectAsync(WaitUntil waitUntil, string projectName, CopyProjectConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await CopyProjectAsync(waitUntil, projectName, content, context).ConfigureAwait(false);
+        }
+
+        /// <summary> Copies an existing project to another Azure resource. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The copy project info. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CopyProject(WaitUntil,string,CopyProjectConfig,CancellationToken)']/*" />
+        public virtual Operation CopyProject(WaitUntil waitUntil, string projectName, CopyProjectConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return CopyProject(waitUntil, projectName, content, context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Copies an existing project to another Azure resource.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="CopyProjectAsync(WaitUntil,string,CopyProjectConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CopyProjectAsync(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation> CopyProjectAsync(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.CopyProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCopyProjectRequest(projectName, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.CopyProject", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Copies an existing project to another Azure resource.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="CopyProject(WaitUntil,string,CopyProjectConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CopyProject(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation CopyProject(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.CopyProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCopyProjectRequest(projectName, content, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.CopyProject", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Triggers a job to export a project's data. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets.
+        /// </param>
+        /// <param name="assetKind"> Kind of asset to export. </param>
+        /// <param name="trainedModelLabel">
+        /// Trained model label to export. If the trainedModelLabel is null, the default
+        /// behavior is to export the current working copy.
+        /// </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='ExportAsync(WaitUntil,string,StringIndexType,string,string,CancellationToken)']/*" />
+        public virtual async Task<Operation> ExportAsync(WaitUntil waitUntil, string projectName, StringIndexType stringIndexType, string assetKind = null, string trainedModelLabel = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await ExportAsync(waitUntil, projectName, stringIndexType.ToString(), assetKind, trainedModelLabel, context).ConfigureAwait(false);
+        }
+
+        /// <summary> Triggers a job to export a project's data. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets.
+        /// </param>
+        /// <param name="assetKind"> Kind of asset to export. </param>
+        /// <param name="trainedModelLabel">
+        /// Trained model label to export. If the trainedModelLabel is null, the default
+        /// behavior is to export the current working copy.
+        /// </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='Export(WaitUntil,string,StringIndexType,string,string,CancellationToken)']/*" />
+        public virtual Operation Export(WaitUntil waitUntil, string projectName, StringIndexType stringIndexType, string assetKind = null, string trainedModelLabel = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return Export(waitUntil, projectName, stringIndexType.ToString(), assetKind, trainedModelLabel, context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers a job to export a project's data.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="ExportAsync(WaitUntil,string,StringIndexType,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets. Allowed values: "Utf16CodeUnit"
+        /// </param>
+        /// <param name="assetKind"> Kind of asset to export. </param>
+        /// <param name="trainedModelLabel">
+        /// Trained model label to export. If the trainedModelLabel is null, the default
+        /// behavior is to export the current working copy.
+        /// </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="stringIndexType"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='ExportAsync(WaitUntil,string,string,string,string,RequestContext)']/*" />
+        public virtual async Task<Operation> ExportAsync(WaitUntil waitUntil, string projectName, string stringIndexType, string assetKind = null, string trainedModelLabel = null, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(stringIndexType, nameof(stringIndexType));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.Export");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateExportRequest(projectName, stringIndexType, assetKind, trainedModelLabel, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.Export", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers a job to export a project's data.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="Export(WaitUntil,string,StringIndexType,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets. Allowed values: "Utf16CodeUnit"
+        /// </param>
+        /// <param name="assetKind"> Kind of asset to export. </param>
+        /// <param name="trainedModelLabel">
+        /// Trained model label to export. If the trainedModelLabel is null, the default
+        /// behavior is to export the current working copy.
+        /// </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="stringIndexType"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='Export(WaitUntil,string,string,string,string,RequestContext)']/*" />
+        public virtual Operation Export(WaitUntil waitUntil, string projectName, string stringIndexType, string assetKind = null, string trainedModelLabel = null, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(stringIndexType, nameof(stringIndexType));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.Export");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateExportRequest(projectName, stringIndexType, assetKind, trainedModelLabel, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.Export", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// Triggers a job to import a project. If a project with the same name already
+        /// exists, the data of that project is replaced.
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The project data to import. </param>
+        /// <param name="format">
+        /// The format of the project to import. The currently supported formats are json
+        /// and aml formats. If not provided, the default is set to json.
+        /// </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='ImportAsync(WaitUntil,string,ExportedProject,string,CancellationToken)']/*" />
+        public virtual async Task<Operation> ImportAsync(WaitUntil waitUntil, string projectName, ExportedProject body, string format = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await ImportAsync(waitUntil, projectName, content, format, context).ConfigureAwait(false);
+        }
+
+        /// <summary>
+        /// Triggers a job to import a project. If a project with the same name already
+        /// exists, the data of that project is replaced.
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The project data to import. </param>
+        /// <param name="format">
+        /// The format of the project to import. The currently supported formats are json
+        /// and aml formats. If not provided, the default is set to json.
+        /// </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='Import(WaitUntil,string,ExportedProject,string,CancellationToken)']/*" />
+        public virtual Operation Import(WaitUntil waitUntil, string projectName, ExportedProject body, string format = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return Import(waitUntil, projectName, content, format, context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers a job to import a project. If a project with the same name already
+        /// exists, the data of that project is replaced.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="ImportAsync(WaitUntil,string,ExportedProject,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="format">
+        /// The format of the project to import. The currently supported formats are json
+        /// and aml formats. If not provided, the default is set to json.
+        /// </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='ImportAsync(WaitUntil,string,RequestContent,string,RequestContext)']/*" />
+        public virtual async Task<Operation> ImportAsync(WaitUntil waitUntil, string projectName, RequestContent content, string format = null, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.Import");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateImportRequest(projectName, content, format, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.Import", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers a job to import a project. If a project with the same name already
+        /// exists, the data of that project is replaced.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="Import(WaitUntil,string,ExportedProject,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="format">
+        /// The format of the project to import. The currently supported formats are json
+        /// and aml formats. If not provided, the default is set to json.
+        /// </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='Import(WaitUntil,string,RequestContent,string,RequestContext)']/*" />
+        public virtual Operation Import(WaitUntil waitUntil, string projectName, RequestContent content, string format = null, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.Import");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateImportRequest(projectName, content, format, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.Import", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Triggers a training job for a project. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The training input parameters. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='TrainAsync(WaitUntil,string,TrainingJobConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation<TrainingJobResult>> TrainAsync(WaitUntil waitUntil, string projectName, TrainingJobConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Operation<BinaryData> response = await TrainAsync(waitUntil, projectName, content, context).ConfigureAwait(false);
+            return ProtocolOperationHelpers.Convert(response, FetchTrainingJobResultFromTrainingJobState, ClientDiagnostics, "TextAnalysisAuthoring.Train");
+        }
+
+        /// <summary> Triggers a training job for a project. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The training input parameters. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='Train(WaitUntil,string,TrainingJobConfig,CancellationToken)']/*" />
+        public virtual Operation<TrainingJobResult> Train(WaitUntil waitUntil, string projectName, TrainingJobConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Operation<BinaryData> response = Train(waitUntil, projectName, content, context);
+            return ProtocolOperationHelpers.Convert(response, FetchTrainingJobResultFromTrainingJobState, ClientDiagnostics, "TextAnalysisAuthoring.Train");
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers a training job for a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="TrainAsync(WaitUntil,string,TrainingJobConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='TrainAsync(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation<BinaryData>> TrainAsync(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.Train");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateTrainRequest(projectName, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageAsync(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.Train", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers a training job for a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="Train(WaitUntil,string,TrainingJobConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='Train(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation<BinaryData> Train(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.Train");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateTrainRequest(projectName, content, context);
+                return ProtocolOperationHelpers.ProcessMessage(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.Train", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Creates a new deployment or replaces an existing one. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="body"> The new deployment info. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='DeployProjectAsync(WaitUntil,string,string,CreateDeploymentConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation> DeployProjectAsync(WaitUntil waitUntil, string projectName, string deploymentName, CreateDeploymentConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await DeployProjectAsync(waitUntil, projectName, deploymentName, content, context).ConfigureAwait(false);
+        }
+
+        /// <summary> Creates a new deployment or replaces an existing one. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="body"> The new deployment info. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='DeployProject(WaitUntil,string,string,CreateDeploymentConfig,CancellationToken)']/*" />
+        public virtual Operation DeployProject(WaitUntil waitUntil, string projectName, string deploymentName, CreateDeploymentConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return DeployProject(waitUntil, projectName, deploymentName, content, context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Creates a new deployment or replaces an existing one.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="DeployProjectAsync(WaitUntil,string,string,CreateDeploymentConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='DeployProjectAsync(WaitUntil,string,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation> DeployProjectAsync(WaitUntil waitUntil, string projectName, string deploymentName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.DeployProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeployProjectRequest(projectName, deploymentName, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.DeployProject", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Creates a new deployment or replaces an existing one.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="DeployProject(WaitUntil,string,string,CreateDeploymentConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='DeployProject(WaitUntil,string,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation DeployProject(WaitUntil waitUntil, string projectName, string deploymentName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.DeployProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeployProjectRequest(projectName, deploymentName, content, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.DeployProject", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Deletes a project deployment.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteDeploymentAsync(WaitUntil,string,string,RequestContext)']/*" />
+        public virtual async Task<Operation> DeleteDeploymentAsync(WaitUntil waitUntil, string projectName, string deploymentName, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.DeleteDeployment");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteDeploymentRequest(projectName, deploymentName, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.DeleteDeployment", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Deletes a project deployment.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteDeployment(WaitUntil,string,string,RequestContext)']/*" />
+        public virtual Operation DeleteDeployment(WaitUntil waitUntil, string projectName, string deploymentName, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.DeleteDeployment");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteDeploymentRequest(projectName, deploymentName, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.DeleteDeployment", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Deletes a project deployment from the specified assigned resources. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="body"> The options for deleting the deployment. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteDeploymentFromResourcesAsync(WaitUntil,string,string,DeleteDeploymentConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation> DeleteDeploymentFromResourcesAsync(WaitUntil waitUntil, string projectName, string deploymentName, DeleteDeploymentConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await DeleteDeploymentFromResourcesAsync(waitUntil, projectName, deploymentName, content, context).ConfigureAwait(false);
+        }
+
+        /// <summary> Deletes a project deployment from the specified assigned resources. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="body"> The options for deleting the deployment. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteDeploymentFromResources(WaitUntil,string,string,DeleteDeploymentConfig,CancellationToken)']/*" />
+        public virtual Operation DeleteDeploymentFromResources(WaitUntil waitUntil, string projectName, string deploymentName, DeleteDeploymentConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return DeleteDeploymentFromResources(waitUntil, projectName, deploymentName, content, context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Deletes a project deployment from the specified assigned resources.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="DeleteDeploymentFromResourcesAsync(WaitUntil,string,string,DeleteDeploymentConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteDeploymentFromResourcesAsync(WaitUntil,string,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation> DeleteDeploymentFromResourcesAsync(WaitUntil waitUntil, string projectName, string deploymentName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.DeleteDeploymentFromResources");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteDeploymentFromResourcesRequest(projectName, deploymentName, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.DeleteDeploymentFromResources", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Deletes a project deployment from the specified assigned resources.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="DeleteDeploymentFromResources(WaitUntil,string,string,DeleteDeploymentConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteDeploymentFromResources(WaitUntil,string,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation DeleteDeploymentFromResources(WaitUntil waitUntil, string projectName, string deploymentName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.DeleteDeploymentFromResources");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteDeploymentFromResourcesRequest(projectName, deploymentName, content, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.DeleteDeploymentFromResources", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Swaps two existing deployments with each other. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The job object to swap two deployments. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='SwapDeploymentsAsync(WaitUntil,string,SwapDeploymentsConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation> SwapDeploymentsAsync(WaitUntil waitUntil, string projectName, SwapDeploymentsConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await SwapDeploymentsAsync(waitUntil, projectName, content, context).ConfigureAwait(false);
+        }
+
+        /// <summary> Swaps two existing deployments with each other. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The job object to swap two deployments. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='SwapDeployments(WaitUntil,string,SwapDeploymentsConfig,CancellationToken)']/*" />
+        public virtual Operation SwapDeployments(WaitUntil waitUntil, string projectName, SwapDeploymentsConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return SwapDeployments(waitUntil, projectName, content, context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Swaps two existing deployments with each other.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="SwapDeploymentsAsync(WaitUntil,string,SwapDeploymentsConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='SwapDeploymentsAsync(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation> SwapDeploymentsAsync(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.SwapDeployments");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateSwapDeploymentsRequest(projectName, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.SwapDeployments", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Swaps two existing deployments with each other.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="SwapDeployments(WaitUntil,string,SwapDeploymentsConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='SwapDeployments(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation SwapDeployments(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.SwapDeployments");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateSwapDeploymentsRequest(projectName, content, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.SwapDeployments", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Creates a new exported model or replaces an existing one. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="body"> The exported model info. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CreateOrUpdateExportedModelAsync(WaitUntil,string,string,ExportedModelConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation> CreateOrUpdateExportedModelAsync(WaitUntil waitUntil, string projectName, string exportedModelName, ExportedModelConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await CreateOrUpdateExportedModelAsync(waitUntil, projectName, exportedModelName, content, context).ConfigureAwait(false);
+        }
+
+        /// <summary> Creates a new exported model or replaces an existing one. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="body"> The exported model info. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CreateOrUpdateExportedModel(WaitUntil,string,string,ExportedModelConfig,CancellationToken)']/*" />
+        public virtual Operation CreateOrUpdateExportedModel(WaitUntil waitUntil, string projectName, string exportedModelName, ExportedModelConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return CreateOrUpdateExportedModel(waitUntil, projectName, exportedModelName, content, context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Creates a new exported model or replaces an existing one.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="CreateOrUpdateExportedModelAsync(WaitUntil,string,string,ExportedModelConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CreateOrUpdateExportedModelAsync(WaitUntil,string,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation> CreateOrUpdateExportedModelAsync(WaitUntil waitUntil, string projectName, string exportedModelName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.CreateOrUpdateExportedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCreateOrUpdateExportedModelRequest(projectName, exportedModelName, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.CreateOrUpdateExportedModel", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Creates a new exported model or replaces an existing one.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="CreateOrUpdateExportedModel(WaitUntil,string,string,ExportedModelConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CreateOrUpdateExportedModel(WaitUntil,string,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation CreateOrUpdateExportedModel(WaitUntil waitUntil, string projectName, string exportedModelName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.CreateOrUpdateExportedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCreateOrUpdateExportedModelRequest(projectName, exportedModelName, content, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.CreateOrUpdateExportedModel", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Deletes an existing exported model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteExportedModelAsync(WaitUntil,string,string,RequestContext)']/*" />
+        public virtual async Task<Operation> DeleteExportedModelAsync(WaitUntil waitUntil, string projectName, string exportedModelName, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.DeleteExportedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteExportedModelRequest(projectName, exportedModelName, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.DeleteExportedModel", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Deletes an existing exported model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteExportedModel(WaitUntil,string,string,RequestContext)']/*" />
+        public virtual Operation DeleteExportedModel(WaitUntil waitUntil, string projectName, string exportedModelName, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.DeleteExportedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteExportedModelRequest(projectName, exportedModelName, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.DeleteExportedModel", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Triggers evaluation operation on a trained model. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="body"> The training input parameters. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='EvaluateModelAsync(WaitUntil,string,string,EvaluationConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation<EvaluationJobResult>> EvaluateModelAsync(WaitUntil waitUntil, string projectName, string trainedModelLabel, EvaluationConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Operation<BinaryData> response = await EvaluateModelAsync(waitUntil, projectName, trainedModelLabel, content, context).ConfigureAwait(false);
+            return ProtocolOperationHelpers.Convert(response, FetchEvaluationJobResultFromEvaluationJobState, ClientDiagnostics, "TextAnalysisAuthoring.EvaluateModel");
+        }
+
+        /// <summary> Triggers evaluation operation on a trained model. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="body"> The training input parameters. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='EvaluateModel(WaitUntil,string,string,EvaluationConfig,CancellationToken)']/*" />
+        public virtual Operation<EvaluationJobResult> EvaluateModel(WaitUntil waitUntil, string projectName, string trainedModelLabel, EvaluationConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Operation<BinaryData> response = EvaluateModel(waitUntil, projectName, trainedModelLabel, content, context);
+            return ProtocolOperationHelpers.Convert(response, FetchEvaluationJobResultFromEvaluationJobState, ClientDiagnostics, "TextAnalysisAuthoring.EvaluateModel");
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers evaluation operation on a trained model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="EvaluateModelAsync(WaitUntil,string,string,EvaluationConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='EvaluateModelAsync(WaitUntil,string,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation<BinaryData>> EvaluateModelAsync(WaitUntil waitUntil, string projectName, string trainedModelLabel, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.EvaluateModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateEvaluateModelRequest(projectName, trainedModelLabel, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageAsync(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.EvaluateModel", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers evaluation operation on a trained model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="EvaluateModel(WaitUntil,string,string,EvaluationConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='EvaluateModel(WaitUntil,string,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation<BinaryData> EvaluateModel(WaitUntil waitUntil, string projectName, string trainedModelLabel, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.EvaluateModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateEvaluateModelRequest(projectName, trainedModelLabel, content, context);
+                return ProtocolOperationHelpers.ProcessMessage(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.EvaluateModel", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Long-running operation.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='LoadSnapshotAsync(WaitUntil,string,string,RequestContext)']/*" />
+        public virtual async Task<Operation> LoadSnapshotAsync(WaitUntil waitUntil, string projectName, string trainedModelLabel, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.LoadSnapshot");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateLoadSnapshotRequest(projectName, trainedModelLabel, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.LoadSnapshot", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Long-running operation.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='LoadSnapshot(WaitUntil,string,string,RequestContext)']/*" />
+        public virtual Operation LoadSnapshot(WaitUntil waitUntil, string projectName, string trainedModelLabel, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.LoadSnapshot");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateLoadSnapshotRequest(projectName, trainedModelLabel, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.LoadSnapshot", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// Assign new Azure resources to a project to allow deploying new deployments to
+        /// them. This API is available only via AAD authentication and not supported via
+        /// subscription key authentication. For more details about AAD authentication,
+        /// check here:
+        /// https://learn.microsoft.com/en-us/azure/cognitive-services/authentication?tabs=powershell#authenticate-with-azure-active-directory
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The new project resources info. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='AssignDeploymentResourcesAsync(WaitUntil,string,AssignDeploymentResourcesConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation> AssignDeploymentResourcesAsync(WaitUntil waitUntil, string projectName, AssignDeploymentResourcesConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await AssignDeploymentResourcesAsync(waitUntil, projectName, content, context).ConfigureAwait(false);
+        }
+
+        /// <summary>
+        /// Assign new Azure resources to a project to allow deploying new deployments to
+        /// them. This API is available only via AAD authentication and not supported via
+        /// subscription key authentication. For more details about AAD authentication,
+        /// check here:
+        /// https://learn.microsoft.com/en-us/azure/cognitive-services/authentication?tabs=powershell#authenticate-with-azure-active-directory
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The new project resources info. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='AssignDeploymentResources(WaitUntil,string,AssignDeploymentResourcesConfig,CancellationToken)']/*" />
+        public virtual Operation AssignDeploymentResources(WaitUntil waitUntil, string projectName, AssignDeploymentResourcesConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return AssignDeploymentResources(waitUntil, projectName, content, context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Assign new Azure resources to a project to allow deploying new deployments to
+        /// them. This API is available only via AAD authentication and not supported via
+        /// subscription key authentication. For more details about AAD authentication,
+        /// check here:
+        /// https://learn.microsoft.com/en-us/azure/cognitive-services/authentication?tabs=powershell#authenticate-with-azure-active-directory
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="AssignDeploymentResourcesAsync(WaitUntil,string,AssignDeploymentResourcesConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='AssignDeploymentResourcesAsync(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation> AssignDeploymentResourcesAsync(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.AssignDeploymentResources");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateAssignDeploymentResourcesRequest(projectName, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.AssignDeploymentResources", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Assign new Azure resources to a project to allow deploying new deployments to
+        /// them. This API is available only via AAD authentication and not supported via
+        /// subscription key authentication. For more details about AAD authentication,
+        /// check here:
+        /// https://learn.microsoft.com/en-us/azure/cognitive-services/authentication?tabs=powershell#authenticate-with-azure-active-directory
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="AssignDeploymentResources(WaitUntil,string,AssignDeploymentResourcesConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='AssignDeploymentResources(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation AssignDeploymentResources(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.AssignDeploymentResources");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateAssignDeploymentResourcesRequest(projectName, content, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.AssignDeploymentResources", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// Unassign resources from a project. This disallows deploying new deployments to
+        /// these resources, and deletes existing deployments assigned to them.
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The info for the deployment resources to be deleted. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='UnassignDeploymentResourcesAsync(WaitUntil,string,UnassignDeploymentResourcesConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation> UnassignDeploymentResourcesAsync(WaitUntil waitUntil, string projectName, UnassignDeploymentResourcesConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await UnassignDeploymentResourcesAsync(waitUntil, projectName, content, context).ConfigureAwait(false);
+        }
+
+        /// <summary>
+        /// Unassign resources from a project. This disallows deploying new deployments to
+        /// these resources, and deletes existing deployments assigned to them.
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The info for the deployment resources to be deleted. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='UnassignDeploymentResources(WaitUntil,string,UnassignDeploymentResourcesConfig,CancellationToken)']/*" />
+        public virtual Operation UnassignDeploymentResources(WaitUntil waitUntil, string projectName, UnassignDeploymentResourcesConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return UnassignDeploymentResources(waitUntil, projectName, content, context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Unassign resources from a project. This disallows deploying new deployments to
+        /// these resources, and deletes existing deployments assigned to them.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="UnassignDeploymentResourcesAsync(WaitUntil,string,UnassignDeploymentResourcesConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='UnassignDeploymentResourcesAsync(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation> UnassignDeploymentResourcesAsync(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.UnassignDeploymentResources");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateUnassignDeploymentResourcesRequest(projectName, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.UnassignDeploymentResources", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Unassign resources from a project. This disallows deploying new deployments to
+        /// these resources, and deletes existing deployments assigned to them.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="UnassignDeploymentResources(WaitUntil,string,UnassignDeploymentResourcesConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='UnassignDeploymentResources(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation UnassignDeploymentResources(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.UnassignDeploymentResources");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateUnassignDeploymentResourcesRequest(projectName, content, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.UnassignDeploymentResources", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Triggers a cancellation for a running training job. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CancelTrainingJobAsync(WaitUntil,string,string,CancellationToken)']/*" />
+        public virtual async Task<Operation<TrainingJobResult>> CancelTrainingJobAsync(WaitUntil waitUntil, string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Operation<BinaryData> response = await CancelTrainingJobAsync(waitUntil, projectName, jobId, context).ConfigureAwait(false);
+            return ProtocolOperationHelpers.Convert(response, FetchTrainingJobResultFromTrainingJobState, ClientDiagnostics, "TextAnalysisAuthoring.CancelTrainingJob");
+        }
+
+        /// <summary> Triggers a cancellation for a running training job. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CancelTrainingJob(WaitUntil,string,string,CancellationToken)']/*" />
+        public virtual Operation<TrainingJobResult> CancelTrainingJob(WaitUntil waitUntil, string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Operation<BinaryData> response = CancelTrainingJob(waitUntil, projectName, jobId, context);
+            return ProtocolOperationHelpers.Convert(response, FetchTrainingJobResultFromTrainingJobState, ClientDiagnostics, "TextAnalysisAuthoring.CancelTrainingJob");
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers a cancellation for a running training job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="CancelTrainingJobAsync(WaitUntil,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CancelTrainingJobAsync(WaitUntil,string,string,RequestContext)']/*" />
+        public virtual async Task<Operation<BinaryData>> CancelTrainingJobAsync(WaitUntil waitUntil, string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.CancelTrainingJob");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCancelTrainingJobRequest(projectName, jobId, context);
+                return await ProtocolOperationHelpers.ProcessMessageAsync(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.CancelTrainingJob", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers a cancellation for a running training job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="CancelTrainingJob(WaitUntil,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/TextAnalysisAuthoring.xml" path="doc/members/member[@name='CancelTrainingJob(WaitUntil,string,string,RequestContext)']/*" />
+        public virtual Operation<BinaryData> CancelTrainingJob(WaitUntil waitUntil, string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("TextAnalysisAuthoring.CancelTrainingJob");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCancelTrainingJobRequest(projectName, jobId, context);
+                return ProtocolOperationHelpers.ProcessMessage(_pipeline, message, ClientDiagnostics, "TextAnalysisAuthoring.CancelTrainingJob", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        internal HttpMessage CreateGetProjectsRequest(int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (maxCount != null)
+            {
+                uri.AppendQuery("top", maxCount.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetProjectRequest(string projectName, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateCreateProjectRequest(string projectName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200201);
+            var request = message.Request;
+            request.Method = RequestMethod.Patch;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/merge-patch+json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateDeleteProjectRequest(string projectName, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Delete;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateCopyProjectAuthorizationRequest(string projectName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/:authorize-copy", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateCopyProjectRequest(string projectName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/:copy", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateExportRequest(string projectName, string stringIndexType, string assetKind, string trainedModelLabel, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/:export", false);
+            uri.AppendQuery("stringIndexType", stringIndexType, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (assetKind != null)
+            {
+                uri.AppendQuery("assetKind", assetKind, true);
+            }
+            if (trainedModelLabel != null)
+            {
+                uri.AppendQuery("trainedModelLabel", trainedModelLabel, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateImportRequest(string projectName, RequestContent content, string format, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/:import", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            if (format != null)
+            {
+                request.Headers.Add("format", format);
+            }
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateTrainRequest(string projectName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/:train", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateGetCopyProjectStatusRequest(string projectName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/copy/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetDeploymentsRequest(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (maxCount != null)
+            {
+                uri.AppendQuery("top", maxCount.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetDeploymentRequest(string projectName, string deploymentName, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments/", false);
+            uri.AppendPath(deploymentName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateDeployProjectRequest(string projectName, string deploymentName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Put;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments/", false);
+            uri.AppendPath(deploymentName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateDeleteDeploymentRequest(string projectName, string deploymentName, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Delete;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments/", false);
+            uri.AppendPath(deploymentName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateDeleteDeploymentFromResourcesRequest(string projectName, string deploymentName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments/", false);
+            uri.AppendPath(deploymentName, true);
+            uri.AppendPath("/:delete-from-resources", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateGetDeploymentDeleteFromResourcesStatusRequest(string projectName, string deploymentName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments/", false);
+            uri.AppendPath(deploymentName, true);
+            uri.AppendPath("/delete-from-resources/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetDeploymentStatusRequest(string projectName, string deploymentName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments/", false);
+            uri.AppendPath(deploymentName, true);
+            uri.AppendPath("/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateSwapDeploymentsRequest(string projectName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments/:swap", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateGetSwapDeploymentsStatusRequest(string projectName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments/swap/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetExportStatusRequest(string projectName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/export/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetExportedModelsRequest(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/exported-models", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (maxCount != null)
+            {
+                uri.AppendQuery("top", maxCount.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetExportedModelRequest(string projectName, string exportedModelName, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/exported-models/", false);
+            uri.AppendPath(exportedModelName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateCreateOrUpdateExportedModelRequest(string projectName, string exportedModelName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Put;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/exported-models/", false);
+            uri.AppendPath(exportedModelName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateDeleteExportedModelRequest(string projectName, string exportedModelName, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Delete;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/exported-models/", false);
+            uri.AppendPath(exportedModelName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetExportedModelJobStatusRequest(string projectName, string exportedModelName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/exported-models/", false);
+            uri.AppendPath(exportedModelName, true);
+            uri.AppendPath("/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetExportedModelManifestRequest(string projectName, string exportedModelName, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/exported-models/", false);
+            uri.AppendPath(exportedModelName, true);
+            uri.AppendPath("/manifest", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetImportStatusRequest(string projectName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/import/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetTrainedModelsRequest(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (maxCount != null)
+            {
+                uri.AppendQuery("top", maxCount.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetTrainedModelRequest(string projectName, string trainedModelLabel, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models/", false);
+            uri.AppendPath(trainedModelLabel, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateDeleteTrainedModelRequest(string projectName, string trainedModelLabel, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier204);
+            var request = message.Request;
+            request.Method = RequestMethod.Delete;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models/", false);
+            uri.AppendPath(trainedModelLabel, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateEvaluateModelRequest(string projectName, string trainedModelLabel, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models/", false);
+            uri.AppendPath(trainedModelLabel, true);
+            uri.AppendPath("/:evaluate", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateLoadSnapshotRequest(string projectName, string trainedModelLabel, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models/", false);
+            uri.AppendPath(trainedModelLabel, true);
+            uri.AppendPath("/:load-snapshot", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetEvaluationStatusRequest(string projectName, string trainedModelLabel, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models/", false);
+            uri.AppendPath(trainedModelLabel, true);
+            uri.AppendPath("/evaluate/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetModelEvaluationResultsRequest(string projectName, string trainedModelLabel, string stringIndexType, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models/", false);
+            uri.AppendPath(trainedModelLabel, true);
+            uri.AppendPath("/evaluation/result", false);
+            uri.AppendQuery("stringIndexType", stringIndexType, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (maxCount != null)
+            {
+                uri.AppendQuery("top", maxCount.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetModelEvaluationSummaryRequest(string projectName, string trainedModelLabel, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models/", false);
+            uri.AppendPath(trainedModelLabel, true);
+            uri.AppendPath("/evaluation/summary-result", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetLoadSnapshotStatusRequest(string projectName, string trainedModelLabel, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models/", false);
+            uri.AppendPath(trainedModelLabel, true);
+            uri.AppendPath("/load-snapshot/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetDeploymentResourcesRequest(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/resources", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (maxCount != null)
+            {
+                uri.AppendQuery("top", maxCount.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateAssignDeploymentResourcesRequest(string projectName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/resources/:assign", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateUnassignDeploymentResourcesRequest(string projectName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/resources/:unassign", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateGetAssignDeploymentResourcesStatusRequest(string projectName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/resources/assign/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetUnassignDeploymentResourcesStatusRequest(string projectName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/resources/unassign/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetTrainingJobsRequest(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/train/jobs", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (maxCount != null)
+            {
+                uri.AppendQuery("top", maxCount.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetTrainingStatusRequest(string projectName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/train/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateCancelTrainingJobRequest(string projectName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/train/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendPath("/:cancel", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetProjectDeletionStatusRequest(string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/global/deletion-jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetAssignedResourceDeploymentsRequest(int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/global/deployments/resources", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (maxCount != null)
+            {
+                uri.AppendQuery("top", maxCount.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetSupportedLanguagesRequest(string projectKind, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/global/languages", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (projectKind != null)
+            {
+                uri.AppendQuery("projectKind", projectKind, true);
+            }
+            if (maxCount != null)
+            {
+                uri.AppendQuery("top", maxCount.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetSupportedPrebuiltEntitiesRequest(RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/global/prebuilt-entities", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetTrainingConfigVersionsRequest(string projectKind, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-text/projects/global/training-config-versions", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (projectKind != null)
+            {
+                uri.AppendQuery("projectKind", projectKind, true);
+            }
+            if (maxCount != null)
+            {
+                uri.AppendQuery("top", maxCount.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetProjectsNextPageRequest(string nextLink, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetDeploymentsNextPageRequest(string nextLink, string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetExportedModelsNextPageRequest(string nextLink, string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetTrainedModelsNextPageRequest(string nextLink, string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetModelEvaluationResultsNextPageRequest(string nextLink, string projectName, string trainedModelLabel, string stringIndexType, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetDeploymentResourcesNextPageRequest(string nextLink, string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetTrainingJobsNextPageRequest(string nextLink, string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetAssignedResourceDeploymentsNextPageRequest(string nextLink, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetSupportedLanguagesNextPageRequest(string nextLink, string projectKind, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetSupportedPrebuiltEntitiesNextPageRequest(string nextLink, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetTrainingConfigVersionsNextPageRequest(string nextLink, string projectKind, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        private static RequestContext DefaultRequestContext = new RequestContext();
+        internal static RequestContext FromCancellationToken(CancellationToken cancellationToken = default)
+        {
+            if (!cancellationToken.CanBeCanceled)
+            {
+                return DefaultRequestContext;
+            }
+
+            return new RequestContext() { CancellationToken = cancellationToken };
+        }
+
+        private static ResponseClassifier _responseClassifier200;
+        private static ResponseClassifier ResponseClassifier200 => _responseClassifier200 ??= new StatusCodeClassifier(stackalloc ushort[] { 200 });
+        private static ResponseClassifier _responseClassifier200201;
+        private static ResponseClassifier ResponseClassifier200201 => _responseClassifier200201 ??= new StatusCodeClassifier(stackalloc ushort[] { 200, 201 });
+        private static ResponseClassifier _responseClassifier202;
+        private static ResponseClassifier ResponseClassifier202 => _responseClassifier202 ??= new StatusCodeClassifier(stackalloc ushort[] { 202 });
+        private static ResponseClassifier _responseClassifier204;
+        private static ResponseClassifier ResponseClassifier204 => _responseClassifier204 ??= new StatusCodeClassifier(stackalloc ushort[] { 204 });
+
+        private TrainingJobResult FetchTrainingJobResultFromTrainingJobState(Response response)
+        {
+            var resultJsonElement = JsonDocument.Parse(response.Content).RootElement.GetProperty("result");
+            return TrainingJobResult.DeserializeTrainingJobResult(resultJsonElement);
+        }
+
+        private EvaluationJobResult FetchEvaluationJobResultFromEvaluationJobState(Response response)
+        {
+            var resultJsonElement = JsonDocument.Parse(response.Content).RootElement.GetProperty("result");
+            return EvaluationJobResult.DeserializeEvaluationJobResult(resultJsonElement);
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Properties/AssemblyInfo.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Properties/AssemblyInfo.cs
new file mode 100644
index 000000000000..07c8b23c4afe
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/src/Properties/AssemblyInfo.cs
@@ -0,0 +1,11 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+using System.Runtime.CompilerServices;
+
+[assembly: InternalsVisibleTo("Azure.AI.Language.Authoring.Analyzetext.Tests, PublicKey = 0024000004800000940000000602000000240000525341310004000001000100d15ddcb29688295338af4b7686603fe614abd555e09efba8fb88ee09e1f7b1ccaeed2e8f823fa9eef3fdd60217fc012ea67d2479751a0b8c087a4185541b851bd8b16f8d91b840e51b1cb0ba6fe647997e57429265e85ef62d565db50a69ae1647d54d7bd855e4db3d8a91510e5bcbd0edfbbecaa20a7bd9ae74593daa7b11b4")]
+
+// Replace Microsoft.Test with the correct resource provider namepace for your service and uncomment.
+// See https://docs.microsoft.com/en-us/azure/azure-resource-manager/management/azure-services-resource-providers
+// for the list of possible values.
+[assembly: Azure.Core.AzureResourceProviderNamespace("Microsoft.Template")]
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/tests/Azure.AI.Language.Authoring.Analyzetext.Tests.csproj b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/tests/Azure.AI.Language.Authoring.Analyzetext.Tests.csproj
new file mode 100644
index 000000000000..f5fa6f6d6fff
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/tests/Azure.AI.Language.Authoring.Analyzetext.Tests.csproj
@@ -0,0 +1,20 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>$(RequiredTargetFrameworks)</TargetFrameworks>
+    <!--We don't care about XML doc comments on test types and members-->
+    <NoWarn>$(NoWarn);CS1591</NoWarn>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="$(AzureCoreTestFramework)" />
+    <ProjectReference Include="..\src\Azure.AI.Language.Authoring.Analyzetext.csproj" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="NUnit" />
+    <PackageReference Include="NUnit3TestAdapter" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" />
+    <PackageReference Include="Moq" />
+  </ItemGroup>
+</Project>
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/tests/Generated/Samples/Samples_TextAnalysisAuthoring.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/tests/Generated/Samples/Samples_TextAnalysisAuthoring.cs
new file mode 100644
index 000000000000..fe23494176d3
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/tests/Generated/Samples/Samples_TextAnalysisAuthoring.cs
@@ -0,0 +1,6284 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Text.Json;
+using System.Threading.Tasks;
+using Azure.AI.Language.Authoring.Analyzetext.Models;
+using Azure.Core;
+using Azure.Identity;
+using NUnit.Framework;
+
+namespace Azure.AI.Language.Authoring.Analyzetext.Samples
+{
+    public partial class Samples_TextAnalysisAuthoring
+    {
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectMetadata_GetProject_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetProject("<projectName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+            Console.WriteLine(result.GetProperty("language").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectMetadata_GetProject_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetProjectAsync("<projectName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+            Console.WriteLine(result.GetProperty("language").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectMetadata_GetProject_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetProjectResponse> response = client.GetProject("<projectName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectMetadata_GetProject_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetProjectResponse> response = await client.GetProjectAsync("<projectName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectMetadata_GetProject_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetProject("<projectName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("amlProjectPath").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("isLabelingLocked").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("runGptPredictions").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("gptPredictiveLookahead").ToString());
+            Console.WriteLine(result.GetProperty("multilingual").ToString());
+            Console.WriteLine(result.GetProperty("description").ToString());
+            Console.WriteLine(result.GetProperty("language").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectMetadata_GetProject_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetProjectAsync("<projectName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("amlProjectPath").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("isLabelingLocked").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("runGptPredictions").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("gptPredictiveLookahead").ToString());
+            Console.WriteLine(result.GetProperty("multilingual").ToString());
+            Console.WriteLine(result.GetProperty("description").ToString());
+            Console.WriteLine(result.GetProperty("language").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectMetadata_GetProject_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetProjectResponse> response = client.GetProject("<projectName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectMetadata_GetProject_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetProjectResponse> response = await client.GetProjectAsync("<projectName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectMetadata_CreateProject_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "CustomSingleLabelClassification",
+                storageInputContainerName = "<storageInputContainerName>",
+                projectName = "<projectName>",
+                language = "<language>",
+            });
+            Response response = client.CreateProject("<projectName>", content);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+            Console.WriteLine(result.GetProperty("language").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectMetadata_CreateProject_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "CustomSingleLabelClassification",
+                storageInputContainerName = "<storageInputContainerName>",
+                projectName = "<projectName>",
+                language = "<language>",
+            });
+            Response response = await client.CreateProjectAsync("<projectName>", content);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+            Console.WriteLine(result.GetProperty("language").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectMetadata_CreateProject_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "CustomSingleLabelClassification",
+                storageInputContainerName = "<storageInputContainerName>",
+                settings = new
+                {
+                    confidenceThreshold = 123.45F,
+                    amlProjectPath = "<amlProjectPath>",
+                    isLabelingLocked = true,
+                    runGptPredictions = true,
+                    gptPredictiveLookahead = 1234,
+                },
+                projectName = "<projectName>",
+                multilingual = true,
+                description = "<description>",
+                language = "<language>",
+            });
+            Response response = client.CreateProject("<projectName>", content);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("amlProjectPath").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("isLabelingLocked").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("runGptPredictions").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("gptPredictiveLookahead").ToString());
+            Console.WriteLine(result.GetProperty("multilingual").ToString());
+            Console.WriteLine(result.GetProperty("description").ToString());
+            Console.WriteLine(result.GetProperty("language").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectMetadata_CreateProject_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "CustomSingleLabelClassification",
+                storageInputContainerName = "<storageInputContainerName>",
+                settings = new
+                {
+                    confidenceThreshold = 123.45F,
+                    amlProjectPath = "<amlProjectPath>",
+                    isLabelingLocked = true,
+                    runGptPredictions = true,
+                    gptPredictiveLookahead = 1234,
+                },
+                projectName = "<projectName>",
+                multilingual = true,
+                description = "<description>",
+                language = "<language>",
+            });
+            Response response = await client.CreateProjectAsync("<projectName>", content);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("amlProjectPath").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("isLabelingLocked").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("runGptPredictions").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("gptPredictiveLookahead").ToString());
+            Console.WriteLine(result.GetProperty("multilingual").ToString());
+            Console.WriteLine(result.GetProperty("description").ToString());
+            Console.WriteLine(result.GetProperty("language").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_CopyProjectAuthorization_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "CustomSingleLabelClassification",
+            });
+            Response response = client.CopyProjectAuthorization("<projectName>", content);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("targetProjectName").ToString());
+            Console.WriteLine(result.GetProperty("accessToken").ToString());
+            Console.WriteLine(result.GetProperty("expiresAt").ToString());
+            Console.WriteLine(result.GetProperty("targetResourceId").ToString());
+            Console.WriteLine(result.GetProperty("targetResourceRegion").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_CopyProjectAuthorization_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "CustomSingleLabelClassification",
+            });
+            Response response = await client.CopyProjectAuthorizationAsync("<projectName>", content);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("targetProjectName").ToString());
+            Console.WriteLine(result.GetProperty("accessToken").ToString());
+            Console.WriteLine(result.GetProperty("expiresAt").ToString());
+            Console.WriteLine(result.GetProperty("targetResourceId").ToString());
+            Console.WriteLine(result.GetProperty("targetResourceRegion").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_CopyProjectAuthorization_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<CopyProjectConfig> response = client.CopyProjectAuthorization("<projectName>", ProjectKind.CustomSingleLabelClassification);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_CopyProjectAuthorization_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<CopyProjectConfig> response = await client.CopyProjectAuthorizationAsync("<projectName>", ProjectKind.CustomSingleLabelClassification);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_CopyProjectAuthorization_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "CustomSingleLabelClassification",
+                storageInputContainerName = "<storageInputContainerName>",
+                allowOverwrite = true,
+            });
+            Response response = client.CopyProjectAuthorization("<projectName>", content);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("targetProjectName").ToString());
+            Console.WriteLine(result.GetProperty("accessToken").ToString());
+            Console.WriteLine(result.GetProperty("expiresAt").ToString());
+            Console.WriteLine(result.GetProperty("targetResourceId").ToString());
+            Console.WriteLine(result.GetProperty("targetResourceRegion").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_CopyProjectAuthorization_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "CustomSingleLabelClassification",
+                storageInputContainerName = "<storageInputContainerName>",
+                allowOverwrite = true,
+            });
+            Response response = await client.CopyProjectAuthorizationAsync("<projectName>", content);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("targetProjectName").ToString());
+            Console.WriteLine(result.GetProperty("accessToken").ToString());
+            Console.WriteLine(result.GetProperty("expiresAt").ToString());
+            Console.WriteLine(result.GetProperty("targetResourceId").ToString());
+            Console.WriteLine(result.GetProperty("targetResourceRegion").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_CopyProjectAuthorization_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<CopyProjectConfig> response = client.CopyProjectAuthorization("<projectName>", ProjectKind.CustomSingleLabelClassification, storageInputContainerName: "<storageInputContainerName>", allowOverwrite: true);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_CopyProjectAuthorization_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<CopyProjectConfig> response = await client.CopyProjectAuthorizationAsync("<projectName>", ProjectKind.CustomSingleLabelClassification, storageInputContainerName: "<storageInputContainerName>", allowOverwrite: true);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringCopyProjectJobState_GetCopyProjectStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetCopyProjectStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringCopyProjectJobState_GetCopyProjectStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetCopyProjectStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringCopyProjectJobState_GetCopyProjectStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetCopyProjectStatusResponse> response = client.GetCopyProjectStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringCopyProjectJobState_GetCopyProjectStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetCopyProjectStatusResponse> response = await client.GetCopyProjectStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringCopyProjectJobState_GetCopyProjectStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetCopyProjectStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringCopyProjectJobState_GetCopyProjectStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetCopyProjectStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringCopyProjectJobState_GetCopyProjectStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetCopyProjectStatusResponse> response = client.GetCopyProjectStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringCopyProjectJobState_GetCopyProjectStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetCopyProjectStatusResponse> response = await client.GetCopyProjectStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectDeployment_GetDeployment_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetDeployment("<projectName>", "<deploymentName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+            Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectDeployment_GetDeployment_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetDeploymentAsync("<projectName>", "<deploymentName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+            Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectDeployment_GetDeployment_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentResponse> response = client.GetDeployment("<projectName>", "<deploymentName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectDeployment_GetDeployment_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentResponse> response = await client.GetDeploymentAsync("<projectName>", "<deploymentName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectDeployment_GetDeployment_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetDeployment("<projectName>", "<deploymentName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+            Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectDeployment_GetDeployment_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetDeploymentAsync("<projectName>", "<deploymentName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+            Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectDeployment_GetDeployment_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentResponse> response = client.GetDeployment("<projectName>", "<deploymentName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectDeployment_GetDeployment_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentResponse> response = await client.GetDeploymentAsync("<projectName>", "<deploymentName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringDeploymentDeleteFromResourcesJobState_GetDeploymentDeleteFromResourcesStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetDeploymentDeleteFromResourcesStatus("<projectName>", "<deploymentName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringDeploymentDeleteFromResourcesJobState_GetDeploymentDeleteFromResourcesStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetDeploymentDeleteFromResourcesStatusAsync("<projectName>", "<deploymentName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringDeploymentDeleteFromResourcesJobState_GetDeploymentDeleteFromResourcesStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentDeleteFromResourcesStatusResponse> response = client.GetDeploymentDeleteFromResourcesStatus("<projectName>", "<deploymentName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringDeploymentDeleteFromResourcesJobState_GetDeploymentDeleteFromResourcesStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentDeleteFromResourcesStatusResponse> response = await client.GetDeploymentDeleteFromResourcesStatusAsync("<projectName>", "<deploymentName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringDeploymentDeleteFromResourcesJobState_GetDeploymentDeleteFromResourcesStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetDeploymentDeleteFromResourcesStatus("<projectName>", "<deploymentName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringDeploymentDeleteFromResourcesJobState_GetDeploymentDeleteFromResourcesStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetDeploymentDeleteFromResourcesStatusAsync("<projectName>", "<deploymentName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringDeploymentDeleteFromResourcesJobState_GetDeploymentDeleteFromResourcesStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentDeleteFromResourcesStatusResponse> response = client.GetDeploymentDeleteFromResourcesStatus("<projectName>", "<deploymentName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringDeploymentDeleteFromResourcesJobState_GetDeploymentDeleteFromResourcesStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentDeleteFromResourcesStatusResponse> response = await client.GetDeploymentDeleteFromResourcesStatusAsync("<projectName>", "<deploymentName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringDeploymentJobState_GetDeploymentStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetDeploymentStatus("<projectName>", "<deploymentName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringDeploymentJobState_GetDeploymentStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetDeploymentStatusAsync("<projectName>", "<deploymentName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringDeploymentJobState_GetDeploymentStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentStatusResponse> response = client.GetDeploymentStatus("<projectName>", "<deploymentName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringDeploymentJobState_GetDeploymentStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentStatusResponse> response = await client.GetDeploymentStatusAsync("<projectName>", "<deploymentName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringDeploymentJobState_GetDeploymentStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetDeploymentStatus("<projectName>", "<deploymentName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringDeploymentJobState_GetDeploymentStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetDeploymentStatusAsync("<projectName>", "<deploymentName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringDeploymentJobState_GetDeploymentStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentStatusResponse> response = client.GetDeploymentStatus("<projectName>", "<deploymentName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringDeploymentJobState_GetDeploymentStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentStatusResponse> response = await client.GetDeploymentStatusAsync("<projectName>", "<deploymentName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringSwapDeploymentsJobState_GetSwapDeploymentsStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetSwapDeploymentsStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringSwapDeploymentsJobState_GetSwapDeploymentsStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetSwapDeploymentsStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringSwapDeploymentsJobState_GetSwapDeploymentsStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetSwapDeploymentsStatusResponse> response = client.GetSwapDeploymentsStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringSwapDeploymentsJobState_GetSwapDeploymentsStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetSwapDeploymentsStatusResponse> response = await client.GetSwapDeploymentsStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringSwapDeploymentsJobState_GetSwapDeploymentsStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetSwapDeploymentsStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringSwapDeploymentsJobState_GetSwapDeploymentsStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetSwapDeploymentsStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringSwapDeploymentsJobState_GetSwapDeploymentsStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetSwapDeploymentsStatusResponse> response = client.GetSwapDeploymentsStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringSwapDeploymentsJobState_GetSwapDeploymentsStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetSwapDeploymentsStatusResponse> response = await client.GetSwapDeploymentsStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringExportProjectJobState_GetExportStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetExportStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringExportProjectJobState_GetExportStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetExportStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringExportProjectJobState_GetExportStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportStatusResponse> response = client.GetExportStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringExportProjectJobState_GetExportStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportStatusResponse> response = await client.GetExportStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringExportProjectJobState_GetExportStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetExportStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("resultUrl").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringExportProjectJobState_GetExportStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetExportStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("resultUrl").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringExportProjectJobState_GetExportStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportStatusResponse> response = client.GetExportStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringExportProjectJobState_GetExportStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportStatusResponse> response = await client.GetExportStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringExportedTrainedModel_GetExportedModel_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetExportedModel("<projectName>", "<exportedModelName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+            Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringExportedTrainedModel_GetExportedModel_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetExportedModelAsync("<projectName>", "<exportedModelName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+            Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringExportedTrainedModel_GetExportedModel_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportedModelResponse> response = client.GetExportedModel("<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringExportedTrainedModel_GetExportedModel_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportedModelResponse> response = await client.GetExportedModelAsync("<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringExportedTrainedModel_GetExportedModel_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetExportedModel("<projectName>", "<exportedModelName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+            Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringExportedTrainedModel_GetExportedModel_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetExportedModelAsync("<projectName>", "<exportedModelName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+            Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringExportedTrainedModel_GetExportedModel_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportedModelResponse> response = client.GetExportedModel("<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringExportedTrainedModel_GetExportedModel_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportedModelResponse> response = await client.GetExportedModelAsync("<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringExportedModelJobState_GetExportedModelJobStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetExportedModelJobStatus("<projectName>", "<exportedModelName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringExportedModelJobState_GetExportedModelJobStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetExportedModelJobStatusAsync("<projectName>", "<exportedModelName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringExportedModelJobState_GetExportedModelJobStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportedModelJobStatusResponse> response = client.GetExportedModelJobStatus("<projectName>", "<exportedModelName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringExportedModelJobState_GetExportedModelJobStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportedModelJobStatusResponse> response = await client.GetExportedModelJobStatusAsync("<projectName>", "<exportedModelName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringExportedModelJobState_GetExportedModelJobStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetExportedModelJobStatus("<projectName>", "<exportedModelName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringExportedModelJobState_GetExportedModelJobStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetExportedModelJobStatusAsync("<projectName>", "<exportedModelName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringExportedModelJobState_GetExportedModelJobStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportedModelJobStatusResponse> response = client.GetExportedModelJobStatus("<projectName>", "<exportedModelName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringExportedModelJobState_GetExportedModelJobStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportedModelJobStatusResponse> response = await client.GetExportedModelJobStatusAsync("<projectName>", "<exportedModelName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_GetExportedModelManifest_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetExportedModelManifest("<projectName>", "<exportedModelName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelFiles")[0].GetProperty("name").ToString());
+            Console.WriteLine(result.GetProperty("modelFiles")[0].GetProperty("contentUri").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_GetExportedModelManifest_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetExportedModelManifestAsync("<projectName>", "<exportedModelName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelFiles")[0].GetProperty("name").ToString());
+            Console.WriteLine(result.GetProperty("modelFiles")[0].GetProperty("contentUri").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_GetExportedModelManifest_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<ExportedModelManifest> response = client.GetExportedModelManifest("<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_GetExportedModelManifest_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<ExportedModelManifest> response = await client.GetExportedModelManifestAsync("<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_GetExportedModelManifest_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetExportedModelManifest("<projectName>", "<exportedModelName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelFiles")[0].GetProperty("name").ToString());
+            Console.WriteLine(result.GetProperty("modelFiles")[0].GetProperty("contentUri").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_GetExportedModelManifest_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetExportedModelManifestAsync("<projectName>", "<exportedModelName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelFiles")[0].GetProperty("name").ToString());
+            Console.WriteLine(result.GetProperty("modelFiles")[0].GetProperty("contentUri").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_GetExportedModelManifest_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<ExportedModelManifest> response = client.GetExportedModelManifest("<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_GetExportedModelManifest_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<ExportedModelManifest> response = await client.GetExportedModelManifestAsync("<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringImportProjectJobState_GetImportStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetImportStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringImportProjectJobState_GetImportStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetImportStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringImportProjectJobState_GetImportStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetImportStatusResponse> response = client.GetImportStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringImportProjectJobState_GetImportStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetImportStatusResponse> response = await client.GetImportStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringImportProjectJobState_GetImportStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetImportStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringImportProjectJobState_GetImportStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetImportStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringImportProjectJobState_GetImportStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetImportStatusResponse> response = client.GetImportStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringImportProjectJobState_GetImportStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetImportStatusResponse> response = await client.GetImportStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectTrainedModel_GetTrainedModel_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetTrainedModel("<projectName>", "<trainedModelLabel>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+            Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectTrainedModel_GetTrainedModel_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetTrainedModelAsync("<projectName>", "<trainedModelLabel>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+            Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectTrainedModel_GetTrainedModel_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetTrainedModelResponse> response = client.GetTrainedModel("<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectTrainedModel_GetTrainedModel_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetTrainedModelResponse> response = await client.GetTrainedModelAsync("<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectTrainedModel_GetTrainedModel_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetTrainedModel("<projectName>", "<trainedModelLabel>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+            Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectTrainedModel_GetTrainedModel_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetTrainedModelAsync("<projectName>", "<trainedModelLabel>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+            Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectTrainedModel_GetTrainedModel_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetTrainedModelResponse> response = client.GetTrainedModel("<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectTrainedModel_GetTrainedModel_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetTrainedModelResponse> response = await client.GetTrainedModelAsync("<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectTrainedModel_DeleteTrainedModel_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.DeleteTrainedModel("<projectName>", "<trainedModelLabel>");
+
+            Console.WriteLine(response.Status);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectTrainedModel_DeleteTrainedModel_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.DeleteTrainedModelAsync("<projectName>", "<trainedModelLabel>");
+
+            Console.WriteLine(response.Status);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectTrainedModel_DeleteTrainedModel_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.DeleteTrainedModel("<projectName>", "<trainedModelLabel>");
+
+            Console.WriteLine(response.Status);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectTrainedModel_DeleteTrainedModel_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.DeleteTrainedModelAsync("<projectName>", "<trainedModelLabel>");
+
+            Console.WriteLine(response.Status);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringEvaluationJobState_GetEvaluationStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetEvaluationStatus("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("percentComplete").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringEvaluationJobState_GetEvaluationStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetEvaluationStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("percentComplete").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringEvaluationJobState_GetEvaluationStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetEvaluationStatusResponse> response = client.GetEvaluationStatus("<projectName>", "<trainedModelLabel>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringEvaluationJobState_GetEvaluationStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetEvaluationStatusResponse> response = await client.GetEvaluationStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringEvaluationJobState_GetEvaluationStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetEvaluationStatus("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("kind").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("percentComplete").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringEvaluationJobState_GetEvaluationStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetEvaluationStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("kind").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("percentComplete").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringEvaluationJobState_GetEvaluationStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetEvaluationStatusResponse> response = client.GetEvaluationStatus("<projectName>", "<trainedModelLabel>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringEvaluationJobState_GetEvaluationStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetEvaluationStatusResponse> response = await client.GetEvaluationStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_GetModelEvaluationSummary_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetModelEvaluationSummary("<projectName>", "<trainedModelLabel>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_GetModelEvaluationSummary_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetModelEvaluationSummaryAsync("<projectName>", "<trainedModelLabel>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_GetModelEvaluationSummary_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<EvaluationSummary> response = client.GetModelEvaluationSummary("<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_GetModelEvaluationSummary_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<EvaluationSummary> response = await client.GetModelEvaluationSummaryAsync("<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_GetModelEvaluationSummary_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetModelEvaluationSummary("<projectName>", "<trainedModelLabel>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("kind").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_GetModelEvaluationSummary_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetModelEvaluationSummaryAsync("<projectName>", "<trainedModelLabel>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("kind").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_GetModelEvaluationSummary_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<EvaluationSummary> response = client.GetModelEvaluationSummary("<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_GetModelEvaluationSummary_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<EvaluationSummary> response = await client.GetModelEvaluationSummaryAsync("<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringLoadSnapshotJobState_GetLoadSnapshotStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetLoadSnapshotStatus("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringLoadSnapshotJobState_GetLoadSnapshotStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetLoadSnapshotStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringLoadSnapshotJobState_GetLoadSnapshotStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetLoadSnapshotStatusResponse> response = client.GetLoadSnapshotStatus("<projectName>", "<trainedModelLabel>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringLoadSnapshotJobState_GetLoadSnapshotStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetLoadSnapshotStatusResponse> response = await client.GetLoadSnapshotStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringLoadSnapshotJobState_GetLoadSnapshotStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetLoadSnapshotStatus("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringLoadSnapshotJobState_GetLoadSnapshotStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetLoadSnapshotStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringLoadSnapshotJobState_GetLoadSnapshotStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetLoadSnapshotStatusResponse> response = client.GetLoadSnapshotStatus("<projectName>", "<trainedModelLabel>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringLoadSnapshotJobState_GetLoadSnapshotStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetLoadSnapshotStatusResponse> response = await client.GetLoadSnapshotStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringAssignDeploymentResourcesJobState_GetAssignDeploymentResourcesStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetAssignDeploymentResourcesStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringAssignDeploymentResourcesJobState_GetAssignDeploymentResourcesStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetAssignDeploymentResourcesStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringAssignDeploymentResourcesJobState_GetAssignDeploymentResourcesStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetAssignDeploymentResourcesStatusResponse> response = client.GetAssignDeploymentResourcesStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringAssignDeploymentResourcesJobState_GetAssignDeploymentResourcesStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetAssignDeploymentResourcesStatusResponse> response = await client.GetAssignDeploymentResourcesStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringAssignDeploymentResourcesJobState_GetAssignDeploymentResourcesStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetAssignDeploymentResourcesStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringAssignDeploymentResourcesJobState_GetAssignDeploymentResourcesStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetAssignDeploymentResourcesStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringAssignDeploymentResourcesJobState_GetAssignDeploymentResourcesStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetAssignDeploymentResourcesStatusResponse> response = client.GetAssignDeploymentResourcesStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringAssignDeploymentResourcesJobState_GetAssignDeploymentResourcesStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetAssignDeploymentResourcesStatusResponse> response = await client.GetAssignDeploymentResourcesStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringUnassignDeploymentResourcesJobState_GetUnassignDeploymentResourcesStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetUnassignDeploymentResourcesStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringUnassignDeploymentResourcesJobState_GetUnassignDeploymentResourcesStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetUnassignDeploymentResourcesStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringUnassignDeploymentResourcesJobState_GetUnassignDeploymentResourcesStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetUnassignDeploymentResourcesStatusResponse> response = client.GetUnassignDeploymentResourcesStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringUnassignDeploymentResourcesJobState_GetUnassignDeploymentResourcesStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetUnassignDeploymentResourcesStatusResponse> response = await client.GetUnassignDeploymentResourcesStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringUnassignDeploymentResourcesJobState_GetUnassignDeploymentResourcesStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetUnassignDeploymentResourcesStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringUnassignDeploymentResourcesJobState_GetUnassignDeploymentResourcesStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetUnassignDeploymentResourcesStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringUnassignDeploymentResourcesJobState_GetUnassignDeploymentResourcesStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetUnassignDeploymentResourcesStatusResponse> response = client.GetUnassignDeploymentResourcesStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringUnassignDeploymentResourcesJobState_GetUnassignDeploymentResourcesStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetUnassignDeploymentResourcesStatusResponse> response = await client.GetUnassignDeploymentResourcesStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringTrainingJobState_GetTrainingStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetTrainingStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringTrainingJobState_GetTrainingStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetTrainingStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringTrainingJobState_GetTrainingStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetTrainingStatusResponse> response = client.GetTrainingStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringTrainingJobState_GetTrainingStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetTrainingStatusResponse> response = await client.GetTrainingStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringTrainingJobState_GetTrainingStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetTrainingStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("estimatedEndDateTime").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringTrainingJobState_GetTrainingStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetTrainingStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("estimatedEndDateTime").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringTrainingJobState_GetTrainingStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetTrainingStatusResponse> response = client.GetTrainingStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringTrainingJobState_GetTrainingStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetTrainingStatusResponse> response = await client.GetTrainingStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectDeletionJobState_GetProjectDeletionStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetProjectDeletionStatus("<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectDeletionJobState_GetProjectDeletionStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetProjectDeletionStatusAsync("<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectDeletionJobState_GetProjectDeletionStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetProjectDeletionStatusResponse> response = client.GetProjectDeletionStatus("<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectDeletionJobState_GetProjectDeletionStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetProjectDeletionStatusResponse> response = await client.GetProjectDeletionStatusAsync("<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectDeletionJobState_GetProjectDeletionStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetProjectDeletionStatus("<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectDeletionJobState_GetProjectDeletionStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetProjectDeletionStatusAsync("<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectDeletionJobState_GetProjectDeletionStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetProjectDeletionStatusResponse> response = client.GetProjectDeletionStatus("<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectDeletionJobState_GetProjectDeletionStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetProjectDeletionStatusResponse> response = await client.GetProjectDeletionStatusAsync("<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectMetadata_GetProjects_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetProjects(null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("projectKind").ToString());
+                Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+                Console.WriteLine(result.GetProperty("projectName").ToString());
+                Console.WriteLine(result.GetProperty("language").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectMetadata_GetProjects_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetProjectsAsync(null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("projectKind").ToString());
+                Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+                Console.WriteLine(result.GetProperty("projectName").ToString());
+                Console.WriteLine(result.GetProperty("language").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectMetadata_GetProjects_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (ProjectMetadata item in client.GetProjects())
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectMetadata_GetProjects_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (ProjectMetadata item in client.GetProjectsAsync())
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectMetadata_GetProjects_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetProjects(1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("projectKind").ToString());
+                Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+                Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+                Console.WriteLine(result.GetProperty("settings").GetProperty("amlProjectPath").ToString());
+                Console.WriteLine(result.GetProperty("settings").GetProperty("isLabelingLocked").ToString());
+                Console.WriteLine(result.GetProperty("settings").GetProperty("runGptPredictions").ToString());
+                Console.WriteLine(result.GetProperty("settings").GetProperty("gptPredictiveLookahead").ToString());
+                Console.WriteLine(result.GetProperty("projectName").ToString());
+                Console.WriteLine(result.GetProperty("multilingual").ToString());
+                Console.WriteLine(result.GetProperty("description").ToString());
+                Console.WriteLine(result.GetProperty("language").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectMetadata_GetProjects_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetProjectsAsync(1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("projectKind").ToString());
+                Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+                Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+                Console.WriteLine(result.GetProperty("settings").GetProperty("amlProjectPath").ToString());
+                Console.WriteLine(result.GetProperty("settings").GetProperty("isLabelingLocked").ToString());
+                Console.WriteLine(result.GetProperty("settings").GetProperty("runGptPredictions").ToString());
+                Console.WriteLine(result.GetProperty("settings").GetProperty("gptPredictiveLookahead").ToString());
+                Console.WriteLine(result.GetProperty("projectName").ToString());
+                Console.WriteLine(result.GetProperty("multilingual").ToString());
+                Console.WriteLine(result.GetProperty("description").ToString());
+                Console.WriteLine(result.GetProperty("language").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectMetadata_GetProjects_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (ProjectMetadata item in client.GetProjects(maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectMetadata_GetProjects_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (ProjectMetadata item in client.GetProjectsAsync(maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectDeployment_GetDeployments_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetDeployments("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("deploymentName").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+                Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectDeployment_GetDeployments_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetDeploymentsAsync("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("deploymentName").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+                Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectDeployment_GetDeployments_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (ProjectDeployment item in client.GetDeployments("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectDeployment_GetDeployments_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (ProjectDeployment item in client.GetDeploymentsAsync("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectDeployment_GetDeployments_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetDeployments("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("deploymentName").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+                Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectDeployment_GetDeployments_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetDeploymentsAsync("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("deploymentName").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+                Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectDeployment_GetDeployments_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (ProjectDeployment item in client.GetDeployments("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectDeployment_GetDeployments_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (ProjectDeployment item in client.GetDeploymentsAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringExportedTrainedModel_GetExportedModels_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetExportedModels("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("exportedModelName").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringExportedTrainedModel_GetExportedModels_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetExportedModelsAsync("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("exportedModelName").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringExportedTrainedModel_GetExportedModels_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (ExportedTrainedModel item in client.GetExportedModels("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringExportedTrainedModel_GetExportedModels_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (ExportedTrainedModel item in client.GetExportedModelsAsync("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringExportedTrainedModel_GetExportedModels_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetExportedModels("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("exportedModelName").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringExportedTrainedModel_GetExportedModels_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetExportedModelsAsync("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("exportedModelName").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringExportedTrainedModel_GetExportedModels_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (ExportedTrainedModel item in client.GetExportedModels("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringExportedTrainedModel_GetExportedModels_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (ExportedTrainedModel item in client.GetExportedModelsAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectTrainedModel_GetTrainedModels_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetTrainedModels("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("label").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectTrainedModel_GetTrainedModels_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetTrainedModelsAsync("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("label").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectTrainedModel_GetTrainedModels_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (ProjectTrainedModel item in client.GetTrainedModels("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectTrainedModel_GetTrainedModels_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (ProjectTrainedModel item in client.GetTrainedModelsAsync("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectTrainedModel_GetTrainedModels_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetTrainedModels("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("label").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectTrainedModel_GetTrainedModels_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetTrainedModelsAsync("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("label").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringProjectTrainedModel_GetTrainedModels_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (ProjectTrainedModel item in client.GetTrainedModels("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringProjectTrainedModel_GetTrainedModels_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (ProjectTrainedModel item in client.GetTrainedModelsAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringDocumentEvaluationResult_GetModelEvaluationResults_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetModelEvaluationResults("<projectName>", "<trainedModelLabel>", "Utf16CodeUnit"))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("projectKind").ToString());
+                Console.WriteLine(result.GetProperty("location").ToString());
+                Console.WriteLine(result.GetProperty("language").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringDocumentEvaluationResult_GetModelEvaluationResults_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetModelEvaluationResultsAsync("<projectName>", "<trainedModelLabel>", "Utf16CodeUnit"))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("projectKind").ToString());
+                Console.WriteLine(result.GetProperty("location").ToString());
+                Console.WriteLine(result.GetProperty("language").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringDocumentEvaluationResult_GetModelEvaluationResults_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (DocumentEvaluationResult item in client.GetModelEvaluationResults("<projectName>", "<trainedModelLabel>", StringIndexType.Utf16CodeUnit))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringDocumentEvaluationResult_GetModelEvaluationResults_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (DocumentEvaluationResult item in client.GetModelEvaluationResultsAsync("<projectName>", "<trainedModelLabel>", StringIndexType.Utf16CodeUnit))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringDocumentEvaluationResult_GetModelEvaluationResults_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetModelEvaluationResults("<projectName>", "<trainedModelLabel>", "Utf16CodeUnit", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("projectKind").ToString());
+                Console.WriteLine(result.GetProperty("location").ToString());
+                Console.WriteLine(result.GetProperty("language").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringDocumentEvaluationResult_GetModelEvaluationResults_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetModelEvaluationResultsAsync("<projectName>", "<trainedModelLabel>", "Utf16CodeUnit", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("projectKind").ToString());
+                Console.WriteLine(result.GetProperty("location").ToString());
+                Console.WriteLine(result.GetProperty("language").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringDocumentEvaluationResult_GetModelEvaluationResults_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (DocumentEvaluationResult item in client.GetModelEvaluationResults("<projectName>", "<trainedModelLabel>", StringIndexType.Utf16CodeUnit, maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringDocumentEvaluationResult_GetModelEvaluationResults_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (DocumentEvaluationResult item in client.GetModelEvaluationResultsAsync("<projectName>", "<trainedModelLabel>", StringIndexType.Utf16CodeUnit, maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringAssignedDeploymentResource_GetDeploymentResources_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetDeploymentResources("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("azureResourceId").ToString());
+                Console.WriteLine(result.GetProperty("region").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringAssignedDeploymentResource_GetDeploymentResources_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetDeploymentResourcesAsync("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("azureResourceId").ToString());
+                Console.WriteLine(result.GetProperty("region").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringAssignedDeploymentResource_GetDeploymentResources_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (AssignedDeploymentResource item in client.GetDeploymentResources("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringAssignedDeploymentResource_GetDeploymentResources_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (AssignedDeploymentResource item in client.GetDeploymentResourcesAsync("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringAssignedDeploymentResource_GetDeploymentResources_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetDeploymentResources("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("azureResourceId").ToString());
+                Console.WriteLine(result.GetProperty("region").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringAssignedDeploymentResource_GetDeploymentResources_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetDeploymentResourcesAsync("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("azureResourceId").ToString());
+                Console.WriteLine(result.GetProperty("region").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringAssignedDeploymentResource_GetDeploymentResources_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (AssignedDeploymentResource item in client.GetDeploymentResources("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringAssignedDeploymentResource_GetDeploymentResources_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (AssignedDeploymentResource item in client.GetDeploymentResourcesAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringTrainingJobState_GetTrainingJobs_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetTrainingJobs("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("jobId").ToString());
+                Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("status").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringTrainingJobState_GetTrainingJobs_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetTrainingJobsAsync("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("jobId").ToString());
+                Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("status").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringTrainingJobState_GetTrainingJobs_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (TrainingJobState item in client.GetTrainingJobs("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringTrainingJobState_GetTrainingJobs_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (TrainingJobState item in client.GetTrainingJobsAsync("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringTrainingJobState_GetTrainingJobs_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetTrainingJobs("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("jobId").ToString());
+                Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+                Console.WriteLine(result.GetProperty("status").ToString());
+                Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("status").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("estimatedEndDateTime").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringTrainingJobState_GetTrainingJobs_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetTrainingJobsAsync("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("jobId").ToString());
+                Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+                Console.WriteLine(result.GetProperty("status").ToString());
+                Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("status").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("estimatedEndDateTime").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringTrainingJobState_GetTrainingJobs_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (TrainingJobState item in client.GetTrainingJobs("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringTrainingJobState_GetTrainingJobs_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (TrainingJobState item in client.GetTrainingJobsAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringAssignedProjectDeploymentsMetadata_GetAssignedResourceDeployments_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetAssignedResourceDeployments(null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("projectName").ToString());
+                Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("deploymentName").ToString());
+                Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("lastDeployedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("deploymentExpirationDate").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringAssignedProjectDeploymentsMetadata_GetAssignedResourceDeployments_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetAssignedResourceDeploymentsAsync(null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("projectName").ToString());
+                Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("deploymentName").ToString());
+                Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("lastDeployedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("deploymentExpirationDate").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringAssignedProjectDeploymentsMetadata_GetAssignedResourceDeployments_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (AssignedProjectDeploymentsMetadata item in client.GetAssignedResourceDeployments())
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringAssignedProjectDeploymentsMetadata_GetAssignedResourceDeployments_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (AssignedProjectDeploymentsMetadata item in client.GetAssignedResourceDeploymentsAsync())
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringAssignedProjectDeploymentsMetadata_GetAssignedResourceDeployments_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetAssignedResourceDeployments(1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("projectName").ToString());
+                Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("deploymentName").ToString());
+                Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("lastDeployedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("deploymentExpirationDate").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringAssignedProjectDeploymentsMetadata_GetAssignedResourceDeployments_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetAssignedResourceDeploymentsAsync(1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("projectName").ToString());
+                Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("deploymentName").ToString());
+                Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("lastDeployedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("deploymentsMetadata")[0].GetProperty("deploymentExpirationDate").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringAssignedProjectDeploymentsMetadata_GetAssignedResourceDeployments_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (AssignedProjectDeploymentsMetadata item in client.GetAssignedResourceDeployments(maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringAssignedProjectDeploymentsMetadata_GetAssignedResourceDeployments_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (AssignedProjectDeploymentsMetadata item in client.GetAssignedResourceDeploymentsAsync(maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringSupportedLanguage_GetSupportedLanguages_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetSupportedLanguages(null, null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("languageName").ToString());
+                Console.WriteLine(result.GetProperty("languageCode").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringSupportedLanguage_GetSupportedLanguages_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetSupportedLanguagesAsync(null, null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("languageName").ToString());
+                Console.WriteLine(result.GetProperty("languageCode").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringSupportedLanguage_GetSupportedLanguages_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (SupportedLanguage item in client.GetSupportedLanguages())
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringSupportedLanguage_GetSupportedLanguages_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (SupportedLanguage item in client.GetSupportedLanguagesAsync())
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringSupportedLanguage_GetSupportedLanguages_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetSupportedLanguages("CustomSingleLabelClassification", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("languageName").ToString());
+                Console.WriteLine(result.GetProperty("languageCode").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringSupportedLanguage_GetSupportedLanguages_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetSupportedLanguagesAsync("CustomSingleLabelClassification", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("languageName").ToString());
+                Console.WriteLine(result.GetProperty("languageCode").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringSupportedLanguage_GetSupportedLanguages_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (SupportedLanguage item in client.GetSupportedLanguages(projectKind: ProjectKind.CustomSingleLabelClassification, maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringSupportedLanguage_GetSupportedLanguages_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (SupportedLanguage item in client.GetSupportedLanguagesAsync(projectKind: ProjectKind.CustomSingleLabelClassification, maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringPrebuiltEntity_GetSupportedPrebuiltEntities_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetSupportedPrebuiltEntities(null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("category").ToString());
+                Console.WriteLine(result.GetProperty("description").ToString());
+                Console.WriteLine(result.GetProperty("examples").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringPrebuiltEntity_GetSupportedPrebuiltEntities_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetSupportedPrebuiltEntitiesAsync(null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("category").ToString());
+                Console.WriteLine(result.GetProperty("description").ToString());
+                Console.WriteLine(result.GetProperty("examples").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringPrebuiltEntity_GetSupportedPrebuiltEntities_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (PrebuiltEntity item in client.GetSupportedPrebuiltEntities())
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringPrebuiltEntity_GetSupportedPrebuiltEntities_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (PrebuiltEntity item in client.GetSupportedPrebuiltEntitiesAsync())
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringPrebuiltEntity_GetSupportedPrebuiltEntities_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetSupportedPrebuiltEntities(null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("category").ToString());
+                Console.WriteLine(result.GetProperty("description").ToString());
+                Console.WriteLine(result.GetProperty("examples").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringPrebuiltEntity_GetSupportedPrebuiltEntities_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetSupportedPrebuiltEntitiesAsync(null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("category").ToString());
+                Console.WriteLine(result.GetProperty("description").ToString());
+                Console.WriteLine(result.GetProperty("examples").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringPrebuiltEntity_GetSupportedPrebuiltEntities_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (PrebuiltEntity item in client.GetSupportedPrebuiltEntities())
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringPrebuiltEntity_GetSupportedPrebuiltEntities_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (PrebuiltEntity item in client.GetSupportedPrebuiltEntitiesAsync())
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringTrainingConfigVersion_GetTrainingConfigVersions_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetTrainingConfigVersions(null, null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringTrainingConfigVersion_GetTrainingConfigVersions_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetTrainingConfigVersionsAsync(null, null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringTrainingConfigVersion_GetTrainingConfigVersions_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (TrainingConfigVersion item in client.GetTrainingConfigVersions())
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringTrainingConfigVersion_GetTrainingConfigVersions_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (TrainingConfigVersion item in client.GetTrainingConfigVersionsAsync())
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringTrainingConfigVersion_GetTrainingConfigVersions_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetTrainingConfigVersions("CustomSingleLabelClassification", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringTrainingConfigVersion_GetTrainingConfigVersions_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetTrainingConfigVersionsAsync("CustomSingleLabelClassification", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoringTrainingConfigVersion_GetTrainingConfigVersions_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (TrainingConfigVersion item in client.GetTrainingConfigVersions(projectKind: ProjectKind.CustomSingleLabelClassification, maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoringTrainingConfigVersion_GetTrainingConfigVersions_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (TrainingConfigVersion item in client.GetTrainingConfigVersionsAsync(projectKind: ProjectKind.CustomSingleLabelClassification, maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_DeleteProject_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.DeleteProject(WaitUntil.Completed, "<projectName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_DeleteProject_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.DeleteProjectAsync(WaitUntil.Completed, "<projectName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_DeleteProject_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.DeleteProject(WaitUntil.Completed, "<projectName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_DeleteProject_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.DeleteProjectAsync(WaitUntil.Completed, "<projectName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_CopyProject_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "CustomSingleLabelClassification",
+                targetProjectName = "<targetProjectName>",
+                accessToken = "<accessToken>",
+                expiresAt = "2022-05-10T18:57:31.2311892Z",
+                targetResourceId = "<targetResourceId>",
+                targetResourceRegion = "<targetResourceRegion>",
+            });
+            Operation operation = client.CopyProject(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_CopyProject_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "CustomSingleLabelClassification",
+                targetProjectName = "<targetProjectName>",
+                accessToken = "<accessToken>",
+                expiresAt = "2022-05-10T18:57:31.2311892Z",
+                targetResourceId = "<targetResourceId>",
+                targetResourceRegion = "<targetResourceRegion>",
+            });
+            Operation operation = await client.CopyProjectAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_CopyProject_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            CopyProjectConfig body = new CopyProjectConfig(
+                ProjectKind.CustomSingleLabelClassification,
+                "<targetProjectName>",
+                "<accessToken>",
+                DateTimeOffset.Parse("2022-05-10T18:57:31.2311892Z"),
+                "<targetResourceId>",
+                "<targetResourceRegion>");
+            Operation operation = client.CopyProject(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_CopyProject_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            CopyProjectConfig body = new CopyProjectConfig(
+                ProjectKind.CustomSingleLabelClassification,
+                "<targetProjectName>",
+                "<accessToken>",
+                DateTimeOffset.Parse("2022-05-10T18:57:31.2311892Z"),
+                "<targetResourceId>",
+                "<targetResourceRegion>");
+            Operation operation = await client.CopyProjectAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_CopyProject_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "CustomSingleLabelClassification",
+                targetProjectName = "<targetProjectName>",
+                accessToken = "<accessToken>",
+                expiresAt = "2022-05-10T18:57:31.2311892Z",
+                targetResourceId = "<targetResourceId>",
+                targetResourceRegion = "<targetResourceRegion>",
+            });
+            Operation operation = client.CopyProject(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_CopyProject_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "CustomSingleLabelClassification",
+                targetProjectName = "<targetProjectName>",
+                accessToken = "<accessToken>",
+                expiresAt = "2022-05-10T18:57:31.2311892Z",
+                targetResourceId = "<targetResourceId>",
+                targetResourceRegion = "<targetResourceRegion>",
+            });
+            Operation operation = await client.CopyProjectAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_CopyProject_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            CopyProjectConfig body = new CopyProjectConfig(
+                ProjectKind.CustomSingleLabelClassification,
+                "<targetProjectName>",
+                "<accessToken>",
+                DateTimeOffset.Parse("2022-05-10T18:57:31.2311892Z"),
+                "<targetResourceId>",
+                "<targetResourceRegion>");
+            Operation operation = client.CopyProject(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_CopyProject_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            CopyProjectConfig body = new CopyProjectConfig(
+                ProjectKind.CustomSingleLabelClassification,
+                "<targetProjectName>",
+                "<accessToken>",
+                DateTimeOffset.Parse("2022-05-10T18:57:31.2311892Z"),
+                "<targetResourceId>",
+                "<targetResourceRegion>");
+            Operation operation = await client.CopyProjectAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_Export_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.Export(WaitUntil.Completed, "<projectName>", "Utf16CodeUnit");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_Export_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.ExportAsync(WaitUntil.Completed, "<projectName>", "Utf16CodeUnit");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_Export_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.Export(WaitUntil.Completed, "<projectName>", StringIndexType.Utf16CodeUnit);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_Export_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.ExportAsync(WaitUntil.Completed, "<projectName>", StringIndexType.Utf16CodeUnit);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_Export_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.Export(WaitUntil.Completed, "<projectName>", "Utf16CodeUnit", assetKind: "<assetKind>", trainedModelLabel: "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_Export_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.ExportAsync(WaitUntil.Completed, "<projectName>", "Utf16CodeUnit", assetKind: "<assetKind>", trainedModelLabel: "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_Export_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.Export(WaitUntil.Completed, "<projectName>", StringIndexType.Utf16CodeUnit, assetKind: "<assetKind>", trainedModelLabel: "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_Export_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.ExportAsync(WaitUntil.Completed, "<projectName>", StringIndexType.Utf16CodeUnit, assetKind: "<assetKind>", trainedModelLabel: "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_Import_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectFileVersion = "<projectFileVersion>",
+                stringIndexType = "Utf16CodeUnit",
+                metadata = new
+                {
+                    projectKind = "CustomSingleLabelClassification",
+                    storageInputContainerName = "<storageInputContainerName>",
+                    projectName = "<projectName>",
+                    language = "<language>",
+                },
+            });
+            Operation operation = client.Import(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_Import_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectFileVersion = "<projectFileVersion>",
+                stringIndexType = "Utf16CodeUnit",
+                metadata = new
+                {
+                    projectKind = "CustomSingleLabelClassification",
+                    storageInputContainerName = "<storageInputContainerName>",
+                    projectName = "<projectName>",
+                    language = "<language>",
+                },
+            });
+            Operation operation = await client.ImportAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_Import_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            ExportedProject body = new ExportedProject("<projectFileVersion>", StringIndexType.Utf16CodeUnit, new CreateProjectConfig(ProjectKind.CustomSingleLabelClassification, "<storageInputContainerName>", "<projectName>", "<language>"));
+            Operation operation = client.Import(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_Import_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            ExportedProject body = new ExportedProject("<projectFileVersion>", StringIndexType.Utf16CodeUnit, new CreateProjectConfig(ProjectKind.CustomSingleLabelClassification, "<storageInputContainerName>", "<projectName>", "<language>"));
+            Operation operation = await client.ImportAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_Import_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectFileVersion = "<projectFileVersion>",
+                stringIndexType = "Utf16CodeUnit",
+                metadata = new
+                {
+                    projectKind = "CustomSingleLabelClassification",
+                    storageInputContainerName = "<storageInputContainerName>",
+                    settings = new
+                    {
+                        confidenceThreshold = 123.45F,
+                        amlProjectPath = "<amlProjectPath>",
+                        isLabelingLocked = true,
+                        runGptPredictions = true,
+                        gptPredictiveLookahead = 1234,
+                    },
+                    projectName = "<projectName>",
+                    multilingual = true,
+                    description = "<description>",
+                    language = "<language>",
+                },
+                assets = new
+                {
+                    documents = new object[]
+            {
+new
+{
+summaryLocation = "<summaryLocation>",
+location = "<location>",
+language = "<language>",
+dataset = "<dataset>",
+}
+            },
+                    projectKind = "CustomAbstractiveSummarization",
+                },
+            });
+            Operation operation = client.Import(WaitUntil.Completed, "<projectName>", content, format: "<format>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_Import_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectFileVersion = "<projectFileVersion>",
+                stringIndexType = "Utf16CodeUnit",
+                metadata = new
+                {
+                    projectKind = "CustomSingleLabelClassification",
+                    storageInputContainerName = "<storageInputContainerName>",
+                    settings = new
+                    {
+                        confidenceThreshold = 123.45F,
+                        amlProjectPath = "<amlProjectPath>",
+                        isLabelingLocked = true,
+                        runGptPredictions = true,
+                        gptPredictiveLookahead = 1234,
+                    },
+                    projectName = "<projectName>",
+                    multilingual = true,
+                    description = "<description>",
+                    language = "<language>",
+                },
+                assets = new
+                {
+                    documents = new object[]
+            {
+new
+{
+summaryLocation = "<summaryLocation>",
+location = "<location>",
+language = "<language>",
+dataset = "<dataset>",
+}
+            },
+                    projectKind = "CustomAbstractiveSummarization",
+                },
+            });
+            Operation operation = await client.ImportAsync(WaitUntil.Completed, "<projectName>", content, format: "<format>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_Import_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            ExportedProject body = new ExportedProject("<projectFileVersion>", StringIndexType.Utf16CodeUnit, new CreateProjectConfig(ProjectKind.CustomSingleLabelClassification, "<storageInputContainerName>", "<projectName>", "<language>")
+            {
+                Settings = new ProjectSettings
+                {
+                    ConfidenceThreshold = 123.45F,
+                    AmlProjectPath = "<amlProjectPath>",
+                    IsLabelingLocked = true,
+                    RunGptPredictions = true,
+                    GptPredictiveLookahead = 1234,
+                },
+                Multilingual = true,
+                Description = "<description>",
+            })
+            {
+                Assets = new ExportedCustomAbstractiveSummarizationProjectAssets
+                {
+                    Documents = {new ExportedCustomAbstractiveSummarizationDocument("<summaryLocation>")
+{
+Location = "<location>",
+Language = "<language>",
+Dataset = "<dataset>",
+}},
+                },
+            };
+            Operation operation = client.Import(WaitUntil.Completed, "<projectName>", body, format: "<format>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_Import_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            ExportedProject body = new ExportedProject("<projectFileVersion>", StringIndexType.Utf16CodeUnit, new CreateProjectConfig(ProjectKind.CustomSingleLabelClassification, "<storageInputContainerName>", "<projectName>", "<language>")
+            {
+                Settings = new ProjectSettings
+                {
+                    ConfidenceThreshold = 123.45F,
+                    AmlProjectPath = "<amlProjectPath>",
+                    IsLabelingLocked = true,
+                    RunGptPredictions = true,
+                    GptPredictiveLookahead = 1234,
+                },
+                Multilingual = true,
+                Description = "<description>",
+            })
+            {
+                Assets = new ExportedCustomAbstractiveSummarizationProjectAssets
+                {
+                    Documents = {new ExportedCustomAbstractiveSummarizationDocument("<summaryLocation>")
+{
+Location = "<location>",
+Language = "<language>",
+Dataset = "<dataset>",
+}},
+                },
+            };
+            Operation operation = await client.ImportAsync(WaitUntil.Completed, "<projectName>", body, format: "<format>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_Train_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                modelLabel = "<modelLabel>",
+                trainingConfigVersion = "<trainingConfigVersion>",
+            });
+            Operation<BinaryData> operation = client.Train(WaitUntil.Completed, "<projectName>", content);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_Train_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                modelLabel = "<modelLabel>",
+                trainingConfigVersion = "<trainingConfigVersion>",
+            });
+            Operation<BinaryData> operation = await client.TrainAsync(WaitUntil.Completed, "<projectName>", content);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_Train_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            TrainingJobConfig body = new TrainingJobConfig("<modelLabel>", "<trainingConfigVersion>");
+            Operation<TrainingJobResult> operation = client.Train(WaitUntil.Completed, "<projectName>", body);
+            TrainingJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_Train_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            TrainingJobConfig body = new TrainingJobConfig("<modelLabel>", "<trainingConfigVersion>");
+            Operation<TrainingJobResult> operation = await client.TrainAsync(WaitUntil.Completed, "<projectName>", body);
+            TrainingJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_Train_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                modelLabel = "<modelLabel>",
+                trainingConfigVersion = "<trainingConfigVersion>",
+                evaluationOptions = new
+                {
+                    kind = "percentage",
+                    trainingSplitPercentage = 1234,
+                    testingSplitPercentage = 1234,
+                },
+                dataGenerationSettings = new
+                {
+                    enableDataGeneration = true,
+                    dataGenerationConnectionInfo = new
+                    {
+                        kind = "azureOpenAI",
+                        resourceId = "<resourceId>",
+                        deploymentName = "<deploymentName>",
+                    },
+                },
+            });
+            Operation<BinaryData> operation = client.Train(WaitUntil.Completed, "<projectName>", content);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("estimatedEndDateTime").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_Train_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                modelLabel = "<modelLabel>",
+                trainingConfigVersion = "<trainingConfigVersion>",
+                evaluationOptions = new
+                {
+                    kind = "percentage",
+                    trainingSplitPercentage = 1234,
+                    testingSplitPercentage = 1234,
+                },
+                dataGenerationSettings = new
+                {
+                    enableDataGeneration = true,
+                    dataGenerationConnectionInfo = new
+                    {
+                        kind = "azureOpenAI",
+                        resourceId = "<resourceId>",
+                        deploymentName = "<deploymentName>",
+                    },
+                },
+            });
+            Operation<BinaryData> operation = await client.TrainAsync(WaitUntil.Completed, "<projectName>", content);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("estimatedEndDateTime").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_Train_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            TrainingJobConfig body = new TrainingJobConfig("<modelLabel>", "<trainingConfigVersion>")
+            {
+                EvaluationOptions = new EvaluationConfig
+                {
+                    Kind = EvaluationKind.Percentage,
+                    TrainingSplitPercentage = 1234,
+                    TestingSplitPercentage = 1234,
+                },
+                DataGenerationSettings = new DataGenerationSettings(true, new DataGenerationConnectionInfo("<resourceId>", "<deploymentName>")),
+            };
+            Operation<TrainingJobResult> operation = client.Train(WaitUntil.Completed, "<projectName>", body);
+            TrainingJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_Train_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            TrainingJobConfig body = new TrainingJobConfig("<modelLabel>", "<trainingConfigVersion>")
+            {
+                EvaluationOptions = new EvaluationConfig
+                {
+                    Kind = EvaluationKind.Percentage,
+                    TrainingSplitPercentage = 1234,
+                    TestingSplitPercentage = 1234,
+                },
+                DataGenerationSettings = new DataGenerationSettings(true, new DataGenerationConnectionInfo("<resourceId>", "<deploymentName>")),
+            };
+            Operation<TrainingJobResult> operation = await client.TrainAsync(WaitUntil.Completed, "<projectName>", body);
+            TrainingJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_DeployProject_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                trainedModelLabel = "<trainedModelLabel>",
+            });
+            Operation operation = client.DeployProject(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_DeployProject_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                trainedModelLabel = "<trainedModelLabel>",
+            });
+            Operation operation = await client.DeployProjectAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_DeployProject_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            CreateDeploymentConfig body = new CreateDeploymentConfig("<trainedModelLabel>");
+            Operation operation = client.DeployProject(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_DeployProject_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            CreateDeploymentConfig body = new CreateDeploymentConfig("<trainedModelLabel>");
+            Operation operation = await client.DeployProjectAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_DeployProject_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                trainedModelLabel = "<trainedModelLabel>",
+                assignedResourceIds = new object[]
+            {
+"<assignedResourceIds>"
+            },
+            });
+            Operation operation = client.DeployProject(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_DeployProject_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                trainedModelLabel = "<trainedModelLabel>",
+                assignedResourceIds = new object[]
+            {
+"<assignedResourceIds>"
+            },
+            });
+            Operation operation = await client.DeployProjectAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_DeployProject_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            CreateDeploymentConfig body = new CreateDeploymentConfig("<trainedModelLabel>")
+            {
+                AssignedResourceIds = { "<assignedResourceIds>" },
+            };
+            Operation operation = client.DeployProject(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_DeployProject_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            CreateDeploymentConfig body = new CreateDeploymentConfig("<trainedModelLabel>")
+            {
+                AssignedResourceIds = { "<assignedResourceIds>" },
+            };
+            Operation operation = await client.DeployProjectAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_DeleteDeployment_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.DeleteDeployment(WaitUntil.Completed, "<projectName>", "<deploymentName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_DeleteDeployment_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.DeleteDeploymentAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_DeleteDeployment_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.DeleteDeployment(WaitUntil.Completed, "<projectName>", "<deploymentName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_DeleteDeployment_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.DeleteDeploymentAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_DeleteDeploymentFromResources_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new object());
+            Operation operation = client.DeleteDeploymentFromResources(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_DeleteDeploymentFromResources_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new object());
+            Operation operation = await client.DeleteDeploymentFromResourcesAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_DeleteDeploymentFromResources_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            DeleteDeploymentConfig body = new DeleteDeploymentConfig();
+            Operation operation = client.DeleteDeploymentFromResources(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_DeleteDeploymentFromResources_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            DeleteDeploymentConfig body = new DeleteDeploymentConfig();
+            Operation operation = await client.DeleteDeploymentFromResourcesAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_DeleteDeploymentFromResources_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                assignedResourceIds = new object[]
+            {
+"<assignedResourceIds>"
+            },
+            });
+            Operation operation = client.DeleteDeploymentFromResources(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_DeleteDeploymentFromResources_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                assignedResourceIds = new object[]
+            {
+"<assignedResourceIds>"
+            },
+            });
+            Operation operation = await client.DeleteDeploymentFromResourcesAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_DeleteDeploymentFromResources_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            DeleteDeploymentConfig body = new DeleteDeploymentConfig
+            {
+                AssignedResourceIds = { "<assignedResourceIds>" },
+            };
+            Operation operation = client.DeleteDeploymentFromResources(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_DeleteDeploymentFromResources_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            DeleteDeploymentConfig body = new DeleteDeploymentConfig
+            {
+                AssignedResourceIds = { "<assignedResourceIds>" },
+            };
+            Operation operation = await client.DeleteDeploymentFromResourcesAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_SwapDeployments_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                firstDeploymentName = "<firstDeploymentName>",
+                secondDeploymentName = "<secondDeploymentName>",
+            });
+            Operation operation = client.SwapDeployments(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_SwapDeployments_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                firstDeploymentName = "<firstDeploymentName>",
+                secondDeploymentName = "<secondDeploymentName>",
+            });
+            Operation operation = await client.SwapDeploymentsAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_SwapDeployments_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            SwapDeploymentsConfig body = new SwapDeploymentsConfig("<firstDeploymentName>", "<secondDeploymentName>");
+            Operation operation = client.SwapDeployments(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_SwapDeployments_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            SwapDeploymentsConfig body = new SwapDeploymentsConfig("<firstDeploymentName>", "<secondDeploymentName>");
+            Operation operation = await client.SwapDeploymentsAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_SwapDeployments_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                firstDeploymentName = "<firstDeploymentName>",
+                secondDeploymentName = "<secondDeploymentName>",
+            });
+            Operation operation = client.SwapDeployments(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_SwapDeployments_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                firstDeploymentName = "<firstDeploymentName>",
+                secondDeploymentName = "<secondDeploymentName>",
+            });
+            Operation operation = await client.SwapDeploymentsAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_SwapDeployments_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            SwapDeploymentsConfig body = new SwapDeploymentsConfig("<firstDeploymentName>", "<secondDeploymentName>");
+            Operation operation = client.SwapDeployments(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_SwapDeployments_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            SwapDeploymentsConfig body = new SwapDeploymentsConfig("<firstDeploymentName>", "<secondDeploymentName>");
+            Operation operation = await client.SwapDeploymentsAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_CreateOrUpdateExportedModel_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                trainedModelLabel = "<trainedModelLabel>",
+            });
+            Operation operation = client.CreateOrUpdateExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_CreateOrUpdateExportedModel_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                trainedModelLabel = "<trainedModelLabel>",
+            });
+            Operation operation = await client.CreateOrUpdateExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_CreateOrUpdateExportedModel_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            ExportedModelConfig body = new ExportedModelConfig("<trainedModelLabel>");
+            Operation operation = client.CreateOrUpdateExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_CreateOrUpdateExportedModel_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            ExportedModelConfig body = new ExportedModelConfig("<trainedModelLabel>");
+            Operation operation = await client.CreateOrUpdateExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_CreateOrUpdateExportedModel_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                trainedModelLabel = "<trainedModelLabel>",
+            });
+            Operation operation = client.CreateOrUpdateExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_CreateOrUpdateExportedModel_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                trainedModelLabel = "<trainedModelLabel>",
+            });
+            Operation operation = await client.CreateOrUpdateExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_CreateOrUpdateExportedModel_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            ExportedModelConfig body = new ExportedModelConfig("<trainedModelLabel>");
+            Operation operation = client.CreateOrUpdateExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_CreateOrUpdateExportedModel_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            ExportedModelConfig body = new ExportedModelConfig("<trainedModelLabel>");
+            Operation operation = await client.CreateOrUpdateExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_DeleteExportedModel_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.DeleteExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_DeleteExportedModel_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.DeleteExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_DeleteExportedModel_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.DeleteExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_DeleteExportedModel_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.DeleteExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_EvaluateModel_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new object());
+            Operation<BinaryData> operation = client.EvaluateModel(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", content);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("evaluationOptions").ToString());
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("percentComplete").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_EvaluateModel_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new object());
+            Operation<BinaryData> operation = await client.EvaluateModelAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", content);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("evaluationOptions").ToString());
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("percentComplete").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_EvaluateModel_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            EvaluationConfig body = new EvaluationConfig();
+            Operation<EvaluationJobResult> operation = client.EvaluateModel(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", body);
+            EvaluationJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_EvaluateModel_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            EvaluationConfig body = new EvaluationConfig();
+            Operation<EvaluationJobResult> operation = await client.EvaluateModelAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", body);
+            EvaluationJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_EvaluateModel_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                kind = "percentage",
+                trainingSplitPercentage = 1234,
+                testingSplitPercentage = 1234,
+            });
+            Operation<BinaryData> operation = client.EvaluateModel(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", content);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("kind").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("percentComplete").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_EvaluateModel_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                kind = "percentage",
+                trainingSplitPercentage = 1234,
+                testingSplitPercentage = 1234,
+            });
+            Operation<BinaryData> operation = await client.EvaluateModelAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", content);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("kind").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("percentComplete").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_EvaluateModel_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            EvaluationConfig body = new EvaluationConfig
+            {
+                Kind = EvaluationKind.Percentage,
+                TrainingSplitPercentage = 1234,
+                TestingSplitPercentage = 1234,
+            };
+            Operation<EvaluationJobResult> operation = client.EvaluateModel(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", body);
+            EvaluationJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_EvaluateModel_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            EvaluationConfig body = new EvaluationConfig
+            {
+                Kind = EvaluationKind.Percentage,
+                TrainingSplitPercentage = 1234,
+                TestingSplitPercentage = 1234,
+            };
+            Operation<EvaluationJobResult> operation = await client.EvaluateModelAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", body);
+            EvaluationJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_LoadSnapshot_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.LoadSnapshot(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_LoadSnapshot_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.LoadSnapshotAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_LoadSnapshot_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.LoadSnapshot(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_LoadSnapshot_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.LoadSnapshotAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_AssignDeploymentResources_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                resourcesMetadata = new object[]
+            {
+new
+{
+azureResourceId = "<azureResourceId>",
+customDomain = "<customDomain>",
+region = "<region>",
+}
+            },
+            });
+            Operation operation = client.AssignDeploymentResources(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_AssignDeploymentResources_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                resourcesMetadata = new object[]
+            {
+new
+{
+azureResourceId = "<azureResourceId>",
+customDomain = "<customDomain>",
+region = "<region>",
+}
+            },
+            });
+            Operation operation = await client.AssignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_AssignDeploymentResources_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            AssignDeploymentResourcesConfig body = new AssignDeploymentResourcesConfig(new ResourceMetadata[]
+            {
+new ResourceMetadata("<azureResourceId>", "<customDomain>", "<region>")
+            });
+            Operation operation = client.AssignDeploymentResources(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_AssignDeploymentResources_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            AssignDeploymentResourcesConfig body = new AssignDeploymentResourcesConfig(new ResourceMetadata[]
+            {
+new ResourceMetadata("<azureResourceId>", "<customDomain>", "<region>")
+            });
+            Operation operation = await client.AssignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_AssignDeploymentResources_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                resourcesMetadata = new object[]
+            {
+new
+{
+azureResourceId = "<azureResourceId>",
+customDomain = "<customDomain>",
+region = "<region>",
+}
+            },
+            });
+            Operation operation = client.AssignDeploymentResources(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_AssignDeploymentResources_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                resourcesMetadata = new object[]
+            {
+new
+{
+azureResourceId = "<azureResourceId>",
+customDomain = "<customDomain>",
+region = "<region>",
+}
+            },
+            });
+            Operation operation = await client.AssignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_AssignDeploymentResources_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            AssignDeploymentResourcesConfig body = new AssignDeploymentResourcesConfig(new ResourceMetadata[]
+            {
+new ResourceMetadata("<azureResourceId>", "<customDomain>", "<region>")
+            });
+            Operation operation = client.AssignDeploymentResources(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_AssignDeploymentResources_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            AssignDeploymentResourcesConfig body = new AssignDeploymentResourcesConfig(new ResourceMetadata[]
+            {
+new ResourceMetadata("<azureResourceId>", "<customDomain>", "<region>")
+            });
+            Operation operation = await client.AssignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_UnassignDeploymentResources_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                assignedResourceIds = new object[]
+            {
+"<assignedResourceIds>"
+            },
+            });
+            Operation operation = client.UnassignDeploymentResources(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_UnassignDeploymentResources_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                assignedResourceIds = new object[]
+            {
+"<assignedResourceIds>"
+            },
+            });
+            Operation operation = await client.UnassignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_UnassignDeploymentResources_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            UnassignDeploymentResourcesConfig body = new UnassignDeploymentResourcesConfig(new string[] { "<assignedResourceIds>" });
+            Operation operation = client.UnassignDeploymentResources(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_UnassignDeploymentResources_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            UnassignDeploymentResourcesConfig body = new UnassignDeploymentResourcesConfig(new string[] { "<assignedResourceIds>" });
+            Operation operation = await client.UnassignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_UnassignDeploymentResources_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                assignedResourceIds = new object[]
+            {
+"<assignedResourceIds>"
+            },
+            });
+            Operation operation = client.UnassignDeploymentResources(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_UnassignDeploymentResources_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                assignedResourceIds = new object[]
+            {
+"<assignedResourceIds>"
+            },
+            });
+            Operation operation = await client.UnassignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_UnassignDeploymentResources_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            UnassignDeploymentResourcesConfig body = new UnassignDeploymentResourcesConfig(new string[] { "<assignedResourceIds>" });
+            Operation operation = client.UnassignDeploymentResources(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_UnassignDeploymentResources_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            UnassignDeploymentResourcesConfig body = new UnassignDeploymentResourcesConfig(new string[] { "<assignedResourceIds>" });
+            Operation operation = await client.UnassignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_CancelTrainingJob_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation<BinaryData> operation = client.CancelTrainingJob(WaitUntil.Completed, "<projectName>", "<jobId>", null);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_CancelTrainingJob_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation<BinaryData> operation = await client.CancelTrainingJobAsync(WaitUntil.Completed, "<projectName>", "<jobId>", null);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_CancelTrainingJob_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation<TrainingJobResult> operation = client.CancelTrainingJob(WaitUntil.Completed, "<projectName>", "<jobId>");
+            TrainingJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_CancelTrainingJob_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation<TrainingJobResult> operation = await client.CancelTrainingJobAsync(WaitUntil.Completed, "<projectName>", "<jobId>");
+            TrainingJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_CancelTrainingJob_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation<BinaryData> operation = client.CancelTrainingJob(WaitUntil.Completed, "<projectName>", "<jobId>", null);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("estimatedEndDateTime").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_CancelTrainingJob_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation<BinaryData> operation = await client.CancelTrainingJobAsync(WaitUntil.Completed, "<projectName>", "<jobId>", null);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("estimatedEndDateTime").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_TextAnalysisAuthoring_CancelTrainingJob_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation<TrainingJobResult> operation = client.CancelTrainingJob(WaitUntil.Completed, "<projectName>", "<jobId>");
+            TrainingJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_TextAnalysisAuthoring_CancelTrainingJob_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            TextAnalysisAuthoring client = new AnalyzetextClient(endpoint, credential).GetTextAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation<TrainingJobResult> operation = await client.CancelTrainingJobAsync(WaitUntil.Completed, "<projectName>", "<jobId>");
+            TrainingJobResult responseData = operation.Value;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/tsp-location.yaml b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/tsp-location.yaml
new file mode 100644
index 000000000000..4d04a4a3cb4b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Analyzetext/tsp-location.yaml
@@ -0,0 +1,4 @@
+directory: specification/cognitiveservices/Language.AnalyzeText-authoring
+commit: e95392a29798b02be1f02f45ea61fdf82533b39c
+repo: test-repo-billy/azure-rest-api-specs
+additionalDirectories: 
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/Azure.AI.Language.Authoring.Conversations.sln b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/Azure.AI.Language.Authoring.Conversations.sln
new file mode 100644
index 000000000000..7d6e6e1952c2
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/Azure.AI.Language.Authoring.Conversations.sln
@@ -0,0 +1,56 @@
+Microsoft Visual Studio Solution File, Format Version 12.00
+# Visual Studio Version 16
+VisualStudioVersion = 16.0.29709.97
+MinimumVisualStudioVersion = 10.0.40219.1
+Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Azure.Core.TestFramework", "..\..\core\Azure.Core.TestFramework\src\Azure.Core.TestFramework.csproj", "{ECC730C1-4AEA-420C-916A-66B19B79E4DC}"
+EndProject
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Azure.AI.Language.Authoring.Conversations", "src\Azure.AI.Language.Authoring.Conversations.csproj", "{28FF4005-4467-4E36-92E7-DEA27DEB1519}"
+EndProject
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Azure.AI.Language.Authoring.Conversations.Tests", "tests\Azure.AI.Language.Authoring.Conversations.Tests.csproj", "{1F1CD1D4-9932-4B73-99D8-C252A67D4B46}"
+EndProject
+Global
+	GlobalSection(SolutionConfigurationPlatforms) = preSolution
+		Debug|Any CPU = Debug|Any CPU
+		Release|Any CPU = Release|Any CPU
+	EndGlobalSection
+	GlobalSection(ProjectConfigurationPlatforms) = postSolution
+		{B0C276D1-2930-4887-B29A-D1A33E7009A2}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
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+	GlobalSection(SolutionProperties) = preSolution
+		HideSolutionNode = FALSE
+	EndGlobalSection
+	GlobalSection(ExtensibilityGlobals) = postSolution
+		SolutionGuid = {A97F4B90-2591-4689-B1F8-5F21FE6D6CAE}
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diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/CHANGELOG.md b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/CHANGELOG.md
new file mode 100644
index 000000000000..13dd08af78ab
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/CHANGELOG.md
@@ -0,0 +1,11 @@
+# Release History
+
+## 1.0.0-beta.1 (Unreleased)
+
+### Features Added
+
+### Breaking Changes
+
+### Bugs Fixed
+
+### Other Changes
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/Directory.Build.props b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/Directory.Build.props
new file mode 100644
index 000000000000..63bd836ad44b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/Directory.Build.props
@@ -0,0 +1,6 @@
+<Project ToolsVersion="15.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
+  <!--
+    Add any shared properties you want for the projects under this package directory that need to be set before the auto imported Directory.Build.props
+  -->
+  <Import Project="$([MSBuild]::GetDirectoryNameOfFileAbove($(MSBuildThisFileDirectory).., Directory.Build.props))\Directory.Build.props" />
+</Project>
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/README.md b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/README.md
new file mode 100644
index 000000000000..ad40aec5c023
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/README.md
@@ -0,0 +1,107 @@
+# Azure.AI.Language.Authoring.Conversations client library for .NET
+
+Azure.AI.Language.Authoring.Conversations is a managed service that helps developers get secret simply and securely.
+
+Use the client library for to:
+
+* [Get secret](https://docs.microsoft.com/azure)
+
+[Source code][source_root] | [Package (NuGet)][package] | [API reference documentation][reference_docs] | [Product documentation][azconfig_docs] | [Samples][source_samples]
+
+  [Source code](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src) | [Package (NuGet)](https://www.nuget.org/packages) | [API reference documentation](https://azure.github.io/azure-sdk-for-net) | [Product documentation](https://docs.microsoft.com/azure)
+
+## Getting started
+
+This section should include everything a developer needs to do to install and create their first client connection *very quickly*.
+
+### Install the package
+
+First, provide instruction for obtaining and installing the package or library. This section might include only a single line of code, like `dotnet add package package-name`, but should enable a developer to successfully install the package from NuGet, npm, or even cloning a GitHub repository.
+
+Install the client library for .NET with [NuGet](https://www.nuget.org/ ):
+
+```dotnetcli
+dotnet add package Azure.AI.Language.Authoring.Conversations --prerelease
+```
+
+### Prerequisites
+
+Include a section after the install command that details any requirements that must be satisfied before a developer can [authenticate](#authenticate-the-client) and test all of the snippets in the [Examples](#examples) section. For example, for Cosmos DB:
+
+> You must have an [Azure subscription](https://azure.microsoft.com/free/dotnet/) and [Cosmos DB account](https://docs.microsoft.com/azure/cosmos-db/account-overview) (SQL API). In order to take advantage of the C# 8.0 syntax, it is recommended that you compile using the [.NET Core SDK](https://dotnet.microsoft.com/download) 3.0 or higher with a [language version](https://docs.microsoft.com/dotnet/csharp/language-reference/configure-language-version#override-a-default) of `latest`.  It is also possible to compile with the .NET Core SDK 2.1.x using a language version of `preview`.
+
+### Authenticate the client
+
+If your library requires authentication for use, such as for Azure services, include instructions and example code needed for initializing and authenticating.
+
+For example, include details on obtaining an account key and endpoint URI, setting environment variables for each, and initializing the client object.
+
+### Service API versions
+
+The client library targets the latest service API version by default. A client instance accepts an optional service API version parameter from its options to specify which API version service to communicate.
+
+#### Select a service API version
+
+You have the flexibility to explicitly select a supported service API version when instantiating a client by configuring its associated options. This ensures that the client can communicate with services using the specified API version.
+
+For example,
+
+```C# Snippet:Create<YourService>ClientForSpecificApiVersion
+Uri endpoint = new Uri("<your endpoint>");
+DefaultAzureCredential credential = new DefaultAzureCredential();
+<YourService>ClientOptions options = new <YourService>ClientOptions(<YourService>ClientOptions.ServiceVersion.<API Version>)
+var client = new <YourService>Client(endpoint, credential, options);
+```
+
+When selecting an API version, it's important to verify that there are no breaking changes compared to the latest API version. If there are significant differences, API calls may fail due to incompatibility.
+
+Always ensure that the chosen API version is fully supported and operational for your specific use case and that it aligns with the service's versioning policy.
+
+## Key concepts
+
+The *Key concepts* section should describe the functionality of the main classes. Point out the most important and useful classes in the package (with links to their reference pages) and explain how those classes work together. Feel free to use bulleted lists, tables, code blocks, or even diagrams for clarity.
+
+Include the *Thread safety* and *Additional concepts* sections below at the end of your *Key concepts* section. You may remove or add links depending on what your library makes use of:
+
+### Thread safety
+
+We guarantee that all client instance methods are thread-safe and independent of each other ([guideline](https://azure.github.io/azure-sdk/dotnet_introduction.html#dotnet-service-methods-thread-safety)). This ensures that the recommendation of reusing client instances is always safe, even across threads.
+
+### Additional concepts
+<!-- CLIENT COMMON BAR -->
+[Client options](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/README.md#configuring-service-clients-using-clientoptions) |
+[Accessing the response](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/README.md#accessing-http-response-details-using-responset) |
+[Long-running operations](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/README.md#consuming-long-running-operations-using-operationt) |
+[Handling failures](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/README.md#reporting-errors-requestfailedexception) |
+[Diagnostics](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/Diagnostics.md) |
+[Mocking](https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/README.md#mocking) |
+[Client lifetime](https://devblogs.microsoft.com/azure-sdk/lifetime-management-and-thread-safety-guarantees-of-azure-sdk-net-clients/)
+<!-- CLIENT COMMON BAR -->
+
+## Examples
+
+You can familiarize yourself with different APIs using [Samples](https://github.com/Azure/azure-sdk-for-net/tree/main/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/samples).
+
+## Troubleshooting
+
+Describe common errors and exceptions, how to "unpack" them if necessary, and include guidance for graceful handling and recovery.
+
+Provide information to help developers avoid throttling or other service-enforced errors they might encounter. For example, provide guidance and examples for using retry or connection policies in the API.
+
+If the package or a related package supports it, include tips for logging or enabling instrumentation to help them debug their code.
+
+## Next steps
+
+* Provide a link to additional code examples, ideally to those sitting alongside the README in the package's `/samples` directory.
+* If appropriate, point users to other packages that might be useful.
+* If you think there's a good chance that developers might stumble across your package in error (because they're searching for specific functionality and mistakenly think the package provides that functionality), point them to the packages they might be looking for.
+
+## Contributing
+
+This is a template, but your SDK readme should include details on how to contribute code to the repo/package.
+
+<!-- LINKS -->
+[style-guide-msft]: https://docs.microsoft.com/style-guide/capitalization
+[style-guide-cloud]: https://aka.ms/azsdk/cloud-style-guide
+
+![Impressions](https://azure-sdk-impressions.azurewebsites.net/api/impressions/azure-sdk-for-net/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/README.png)
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Azure.AI.Language.Authoring.Conversations.csproj b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Azure.AI.Language.Authoring.Conversations.csproj
new file mode 100644
index 000000000000..b56b7a51b42b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Azure.AI.Language.Authoring.Conversations.csproj
@@ -0,0 +1,20 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <Description>This is the Azure.AI.Language.Authoring.Conversations client library for developing .NET applications with rich experience.</Description>
+    <AssemblyTitle>Azure SDK Code Generation Azure.AI.Language.Authoring.Conversations for Azure Data Plane</AssemblyTitle>
+    <Version>1.0.0-beta.1</Version>
+    <PackageTags>Azure.AI.Language.Authoring.Conversations</PackageTags>
+    <TargetFrameworks>$(RequiredTargetFrameworks)</TargetFrameworks>
+    <IncludeOperationsSharedSource>true</IncludeOperationsSharedSource>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <Compile Include="$(AzureCoreSharedSources)AzureKeyCredentialPolicy.cs" LinkBase="Shared/Core" />
+    <Compile Include="$(AzureCoreSharedSources)AzureResourceProviderNamespaceAttribute.cs" LinkBase="Shared/Core" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.Core" />
+    <PackageReference Include="System.Text.Json" />
+  </ItemGroup>
+</Project>
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/AILanguageAuthoringConversationsClientBuilderExtensions.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/AILanguageAuthoringConversationsClientBuilderExtensions.cs
new file mode 100644
index 000000000000..b2818d4876f6
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/AILanguageAuthoringConversationsClientBuilderExtensions.cs
@@ -0,0 +1,52 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using Azure;
+using Azure.AI.Language.Authoring.Conversations;
+using Azure.Core.Extensions;
+
+namespace Microsoft.Extensions.Azure
+{
+    /// <summary> Extension methods to add <see cref="ConversationsClient"/> to client builder. </summary>
+    public static partial class AILanguageAuthoringConversationsClientBuilderExtensions
+    {
+        /// <summary> Registers a <see cref="ConversationsClient"/> instance. </summary>
+        /// <param name="builder"> The builder to register with. </param>
+        /// <param name="endpoint">
+        /// Supported Cognitive Services endpoint (e.g.,
+        /// https://&lt;resource-name&gt;.api.cognitiveservices.azure.com).
+        /// </param>
+        /// <param name="credential"> A credential used to authenticate to an Azure Service. </param>
+        public static IAzureClientBuilder<ConversationsClient, ConversationsClientOptions> AddConversationsClient<TBuilder>(this TBuilder builder, Uri endpoint, AzureKeyCredential credential)
+        where TBuilder : IAzureClientFactoryBuilder
+        {
+            return builder.RegisterClientFactory<ConversationsClient, ConversationsClientOptions>((options) => new ConversationsClient(endpoint, credential, options));
+        }
+
+        /// <summary> Registers a <see cref="ConversationsClient"/> instance. </summary>
+        /// <param name="builder"> The builder to register with. </param>
+        /// <param name="endpoint">
+        /// Supported Cognitive Services endpoint (e.g.,
+        /// https://&lt;resource-name&gt;.api.cognitiveservices.azure.com).
+        /// </param>
+        public static IAzureClientBuilder<ConversationsClient, ConversationsClientOptions> AddConversationsClient<TBuilder>(this TBuilder builder, Uri endpoint)
+        where TBuilder : IAzureClientFactoryBuilderWithCredential
+        {
+            return builder.RegisterClientFactory<ConversationsClient, ConversationsClientOptions>((options, cred) => new ConversationsClient(endpoint, cred, options));
+        }
+
+        /// <summary> Registers a <see cref="ConversationsClient"/> instance. </summary>
+        /// <param name="builder"> The builder to register with. </param>
+        /// <param name="configuration"> The configuration values. </param>
+        public static IAzureClientBuilder<ConversationsClient, ConversationsClientOptions> AddConversationsClient<TBuilder, TConfiguration>(this TBuilder builder, TConfiguration configuration)
+        where TBuilder : IAzureClientFactoryBuilderWithConfiguration<TConfiguration>
+        {
+            return builder.RegisterClientFactory<ConversationsClient, ConversationsClientOptions>(configuration);
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/AILanguageAuthoringConversationsModelFactory.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/AILanguageAuthoringConversationsModelFactory.cs
new file mode 100644
index 000000000000..4063e8a8d968
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/AILanguageAuthoringConversationsModelFactory.cs
@@ -0,0 +1,1111 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Model factory for models. </summary>
+    public static partial class AILanguageAuthoringConversationsModelFactory
+    {
+        /// <summary> Initializes a new instance of <see cref="Models.ProjectMetadata"/>. </summary>
+        /// <param name="createdDateTime"> Represents the project creation datetime. </param>
+        /// <param name="lastModifiedDateTime"> Represents the project creation datetime. </param>
+        /// <param name="lastTrainedDateTime"> Represents the project last trained datetime. </param>
+        /// <param name="lastDeployedDateTime"> Represents the project last deployed datetime. </param>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="settings"> The project settings. </param>
+        /// <param name="storageInputContainerName"> The storage container name in case of conversation summarization. </param>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="multilingual"> Whether the project would be used for multiple languages or not. </param>
+        /// <param name="description"> The project description. </param>
+        /// <param name="language"> The project language. This is BCP-47 representation of a language. For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish etc. </param>
+        /// <returns> A new <see cref="Models.ProjectMetadata"/> instance for mocking. </returns>
+        public static ProjectMetadata ProjectMetadata(DateTimeOffset createdDateTime = default, DateTimeOffset lastModifiedDateTime = default, DateTimeOffset? lastTrainedDateTime = null, DateTimeOffset? lastDeployedDateTime = null, ProjectKind projectKind = default, ProjectSettings settings = null, string storageInputContainerName = null, string projectName = null, bool? multilingual = null, string description = null, string language = null)
+        {
+            return new ProjectMetadata(
+                createdDateTime,
+                lastModifiedDateTime,
+                lastTrainedDateTime,
+                lastDeployedDateTime,
+                projectKind,
+                settings,
+                storageInputContainerName,
+                projectName,
+                multilingual,
+                description,
+                language,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.AuthoringConversationsError"/>. </summary>
+        /// <param name="code"> One of a server-defined set of error codes. </param>
+        /// <param name="message"> A human-readable representation of the error. </param>
+        /// <param name="target"> The target of the error. </param>
+        /// <param name="details"> An array of details about specific errors that led to this reported error. </param>
+        /// <param name="innererror">
+        /// An object containing more specific information than the current object about
+        /// the error.
+        /// </param>
+        /// <returns> A new <see cref="Models.AuthoringConversationsError"/> instance for mocking. </returns>
+        public static AuthoringConversationsError AuthoringConversationsError(ErrorCode code = default, string message = null, string target = null, IEnumerable<AuthoringConversationsError> details = null, InnerErrorModel innererror = null)
+        {
+            details ??= new List<AuthoringConversationsError>();
+
+            return new AuthoringConversationsError(
+                code,
+                message,
+                target,
+                details?.ToList(),
+                innererror,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.InnerErrorModel"/>. </summary>
+        /// <param name="code"> One of a server-defined set of error codes. </param>
+        /// <param name="message"> Error message. </param>
+        /// <param name="details"> Error details. </param>
+        /// <param name="target"> Error target. </param>
+        /// <param name="innererror">
+        /// An object containing more specific information than the current object about
+        /// the error.
+        /// </param>
+        /// <returns> A new <see cref="Models.InnerErrorModel"/> instance for mocking. </returns>
+        public static InnerErrorModel InnerErrorModel(InnerErrorCode code = default, string message = null, IReadOnlyDictionary<string, string> details = null, string target = null, InnerErrorModel innererror = null)
+        {
+            details ??= new Dictionary<string, string>();
+
+            return new InnerErrorModel(
+                code,
+                message,
+                details,
+                target,
+                innererror,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.CreateProjectConfig"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="settings"> The project settings. </param>
+        /// <param name="storageInputContainerName"> The storage container name in case of conversation summarization. </param>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="multilingual"> Whether the project would be used for multiple languages or not. </param>
+        /// <param name="description"> The project description. </param>
+        /// <param name="language"> The project language. This is BCP-47 representation of a language. For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish etc. </param>
+        /// <returns> A new <see cref="Models.CreateProjectConfig"/> instance for mocking. </returns>
+        public static CreateProjectConfig CreateProjectConfig(ProjectKind projectKind = default, ProjectSettings settings = null, string storageInputContainerName = null, string projectName = null, bool? multilingual = null, string description = null, string language = null)
+        {
+            return new CreateProjectConfig(
+                projectKind,
+                settings,
+                storageInputContainerName,
+                projectName,
+                multilingual,
+                description,
+                language,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ExportedProject"/>. </summary>
+        /// <param name="projectFileVersion"> The version of the exported file. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets.
+        /// </param>
+        /// <param name="metadata"> Represents the project metadata. </param>
+        /// <param name="assets">
+        /// Represents the project assets.
+        /// Please note <see cref="ExportedProjectAssets"/> is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes.
+        /// The available derived classes include <see cref="ConversationExportedProjectAssets"/> and <see cref="OrchestrationExportedProjectAssets"/>.
+        /// </param>
+        /// <returns> A new <see cref="Models.ExportedProject"/> instance for mocking. </returns>
+        public static ExportedProject ExportedProject(string projectFileVersion = null, StringIndexType stringIndexType = default, CreateProjectConfig metadata = null, ExportedProjectAssets assets = null)
+        {
+            return new ExportedProject(projectFileVersion, stringIndexType, metadata, assets, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ConversationExportedEntity"/>. </summary>
+        /// <param name="category"> The category of the entity. </param>
+        /// <param name="compositionSetting"> The behavior to follow when the entity's components overlap with each other. </param>
+        /// <param name="list"> The list component of the entity. </param>
+        /// <param name="prebuilts"> The prebuilt entities components. </param>
+        /// <param name="regex"> The regex component of the entity. </param>
+        /// <param name="requiredComponents"> The required components. Allowed values are 'learned', 'list', 'prebuilts' and 'regex'. </param>
+        /// <returns> A new <see cref="Models.ConversationExportedEntity"/> instance for mocking. </returns>
+        public static ConversationExportedEntity ConversationExportedEntity(string category = null, CompositionSetting? compositionSetting = null, ExportedEntityList list = null, IEnumerable<ExportedPrebuiltEntity> prebuilts = null, ExportedEntityRegex regex = null, IEnumerable<string> requiredComponents = null)
+        {
+            prebuilts ??= new List<ExportedPrebuiltEntity>();
+            requiredComponents ??= new List<string>();
+
+            return new ConversationExportedEntity(
+                category,
+                compositionSetting,
+                list,
+                prebuilts?.ToList(),
+                regex,
+                requiredComponents?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ConversationExportedUtterance"/>. </summary>
+        /// <param name="entities"> Represents the entity labels of the utterance. </param>
+        /// <param name="text"> The utterance text. </param>
+        /// <param name="language">
+        /// Represents the utterance's language. This is BCP-47 representation of a
+        /// language. For example, use "en" for English, "en-gb" for English (UK), "es" for
+        /// Spanish etc.
+        /// </param>
+        /// <param name="intent"> The intent of the utterance. </param>
+        /// <param name="dataset"> The dataset for this utterance. Allowed values are 'Train' and 'Test'. </param>
+        /// <returns> A new <see cref="Models.ConversationExportedUtterance"/> instance for mocking. </returns>
+        public static ConversationExportedUtterance ConversationExportedUtterance(IEnumerable<ExportedUtteranceEntityLabel> entities = null, string text = null, string language = null, string intent = null, string dataset = null)
+        {
+            entities ??= new List<ExportedUtteranceEntityLabel>();
+
+            return new ConversationExportedUtterance(
+                entities?.ToList(),
+                text,
+                language,
+                intent,
+                dataset,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.OrchestrationExportedIntent"/>. </summary>
+        /// <param name="orchestration">
+        /// Specifies the behavior of this intent in the orchestration flow.
+        /// Please note <see cref="ExportedOrchestrationConfig"/> is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes.
+        /// The available derived classes include <see cref="Models.ExportedConversationOrchestrationConfig"/>, <see cref="Models.ExportedLuisOrchestrationConfig"/> and <see cref="Models.ExportedQuestionAnsweringOrchestrationConfig"/>.
+        /// </param>
+        /// <param name="category"> The intent category. </param>
+        /// <returns> A new <see cref="Models.OrchestrationExportedIntent"/> instance for mocking. </returns>
+        public static OrchestrationExportedIntent OrchestrationExportedIntent(ExportedOrchestrationConfig orchestration = null, string category = null)
+        {
+            return new OrchestrationExportedIntent(orchestration, category, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ExportedConversationOrchestrationConfig"/>. </summary>
+        /// <param name="conversationOrchestration"> The Conversational project target details. </param>
+        /// <returns> A new <see cref="Models.ExportedConversationOrchestrationConfig"/> instance for mocking. </returns>
+        public static ExportedConversationOrchestrationConfig ExportedConversationOrchestrationConfig(ExportedConversationOrchestration conversationOrchestration = null)
+        {
+            return new ExportedConversationOrchestrationConfig(OrchestrationTargetProjectKind.Conversation, serializedAdditionalRawData: null, conversationOrchestration);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ExportedLuisOrchestrationConfig"/>. </summary>
+        /// <param name="luisOrchestration"> The LUIS application target details. </param>
+        /// <returns> A new <see cref="Models.ExportedLuisOrchestrationConfig"/> instance for mocking. </returns>
+        public static ExportedLuisOrchestrationConfig ExportedLuisOrchestrationConfig(ExportedLuisOrchestration luisOrchestration = null)
+        {
+            return new ExportedLuisOrchestrationConfig(OrchestrationTargetProjectKind.Luis, serializedAdditionalRawData: null, luisOrchestration);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ExportedLuisOrchestration"/>. </summary>
+        /// <param name="appId"> The LUIS application ID. </param>
+        /// <param name="appVersion"> The targeted version Id. </param>
+        /// <param name="slotName"> The targeted slot name. </param>
+        /// <returns> A new <see cref="Models.ExportedLuisOrchestration"/> instance for mocking. </returns>
+        public static ExportedLuisOrchestration ExportedLuisOrchestration(Guid appId = default, string appVersion = null, string slotName = null)
+        {
+            return new ExportedLuisOrchestration(appId, appVersion, slotName, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ExportedQuestionAnsweringOrchestrationConfig"/>. </summary>
+        /// <param name="questionAnsweringOrchestration"> The Question Answering project details. </param>
+        /// <returns> A new <see cref="Models.ExportedQuestionAnsweringOrchestrationConfig"/> instance for mocking. </returns>
+        public static ExportedQuestionAnsweringOrchestrationConfig ExportedQuestionAnsweringOrchestrationConfig(ExportedQuestionAnsweringOrchestration questionAnsweringOrchestration = null)
+        {
+            return new ExportedQuestionAnsweringOrchestrationConfig(OrchestrationTargetProjectKind.QuestionAnswering, serializedAdditionalRawData: null, questionAnsweringOrchestration);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.OrchestrationExportedUtterance"/>. </summary>
+        /// <param name="text"> The utterance text. </param>
+        /// <param name="language">
+        /// Represents the utterance's language. This is BCP-47 representation of a
+        /// language. For example, use "en" for English, "en-gb" for English (UK), "es" for
+        /// Spanish etc.
+        /// </param>
+        /// <param name="intent"> The intent of the utterance. </param>
+        /// <param name="dataset"> The dataset for this utterance. Allowed values are 'Train' and 'Test'. </param>
+        /// <returns> A new <see cref="Models.OrchestrationExportedUtterance"/> instance for mocking. </returns>
+        public static OrchestrationExportedUtterance OrchestrationExportedUtterance(string text = null, string language = null, string intent = null, string dataset = null)
+        {
+            return new OrchestrationExportedUtterance(text, language, intent, dataset, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.TrainingJobConfig"/>. </summary>
+        /// <param name="modelLabel"> Represents the output model label. </param>
+        /// <param name="trainingConfigVersion">
+        /// Represents training config version. By default, "latest" value is used which
+        /// uses the latest released training config version.
+        /// </param>
+        /// <param name="trainingMode"> Represents the mode of the training operation. </param>
+        /// <param name="evaluationOptions">
+        /// Represents the evaluation options. By default, the evaluation kind is
+        /// percentage, with training split percentage as 80, and testing split percentage
+        /// as 20.
+        /// </param>
+        /// <returns> A new <see cref="Models.TrainingJobConfig"/> instance for mocking. </returns>
+        public static TrainingJobConfig TrainingJobConfig(string modelLabel = null, string trainingConfigVersion = null, TrainingMode trainingMode = default, EvaluationConfig evaluationOptions = null)
+        {
+            return new TrainingJobConfig(modelLabel, trainingConfigVersion, trainingMode, evaluationOptions, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.TrainingJobResult"/>. </summary>
+        /// <param name="modelLabel"> Represents trained model label. </param>
+        /// <param name="trainingConfigVersion"> Represents training config version. </param>
+        /// <param name="trainingMode"> Represents the mode of the training operation. </param>
+        /// <param name="trainingStatus"> Represents the model training status. </param>
+        /// <param name="evaluationStatus"> Represents model evaluation status. </param>
+        /// <param name="estimatedEndDateTime"> Represents the estimated end date time for training and evaluation. </param>
+        /// <returns> A new <see cref="Models.TrainingJobResult"/> instance for mocking. </returns>
+        public static TrainingJobResult TrainingJobResult(string modelLabel = null, string trainingConfigVersion = null, TrainingMode? trainingMode = null, SubTrainingJobState trainingStatus = null, SubTrainingJobState evaluationStatus = null, DateTimeOffset? estimatedEndDateTime = null)
+        {
+            return new TrainingJobResult(
+                modelLabel,
+                trainingConfigVersion,
+                trainingMode,
+                trainingStatus,
+                evaluationStatus,
+                estimatedEndDateTime,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.SubTrainingJobState"/>. </summary>
+        /// <param name="percentComplete"> Represents progress percentage. </param>
+        /// <param name="startDateTime"> Represents the start date time. </param>
+        /// <param name="endDateTime"> Represents the end date time. </param>
+        /// <param name="status"> Represents the status of the sub-operation. </param>
+        /// <returns> A new <see cref="Models.SubTrainingJobState"/> instance for mocking. </returns>
+        public static SubTrainingJobState SubTrainingJobState(int percentComplete = default, DateTimeOffset? startDateTime = null, DateTimeOffset? endDateTime = null, JobStatus status = default)
+        {
+            return new SubTrainingJobState(percentComplete, startDateTime, endDateTime, status, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.TrainingJobState"/>. </summary>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="result"> Represents training tasks detailed result. </param>
+        /// <returns> A new <see cref="Models.TrainingJobState"/> instance for mocking. </returns>
+        public static TrainingJobState TrainingJobState(string jobId = null, DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<AuthoringConversationsWarning> warnings = null, IEnumerable<AuthoringConversationsError> errors = null, TrainingJobResult result = null)
+        {
+            warnings ??= new List<AuthoringConversationsWarning>();
+            errors ??= new List<AuthoringConversationsError>();
+
+            return new TrainingJobState(
+                jobId,
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                result,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.AuthoringConversationsWarning"/>. </summary>
+        /// <param name="code"> The warning code. </param>
+        /// <param name="message"> The warning message. </param>
+        /// <returns> A new <see cref="Models.AuthoringConversationsWarning"/> instance for mocking. </returns>
+        public static AuthoringConversationsWarning AuthoringConversationsWarning(string code = null, string message = null)
+        {
+            return new AuthoringConversationsWarning(code, message, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetCopyProjectStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetCopyProjectStatusResponse"/> instance for mocking. </returns>
+        public static GetCopyProjectStatusResponse GetCopyProjectStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<AuthoringConversationsWarning> warnings = null, IEnumerable<AuthoringConversationsError> errors = null)
+        {
+            warnings ??= new List<AuthoringConversationsWarning>();
+            errors ??= new List<AuthoringConversationsError>();
+
+            return new GetCopyProjectStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ProjectDeployment"/>. </summary>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="modelId"> Represents deployment modelId. </param>
+        /// <param name="lastTrainedDateTime"> Represents deployment last trained time. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <param name="modelTrainingConfigVersion"> Represents model training config version. </param>
+        /// <param name="assignedResources"> Represents the metadata of the assigned Azure resources. </param>
+        /// <returns> A new <see cref="Models.ProjectDeployment"/> instance for mocking. </returns>
+        public static ProjectDeployment ProjectDeployment(string deploymentName = null, string modelId = null, DateTimeOffset lastTrainedDateTime = default, DateTimeOffset lastDeployedDateTime = default, DateTimeOffset deploymentExpirationDate = default, string modelTrainingConfigVersion = null, IEnumerable<DeploymentResource> assignedResources = null)
+        {
+            assignedResources ??= new List<DeploymentResource>();
+
+            return new ProjectDeployment(
+                deploymentName,
+                modelId,
+                lastTrainedDateTime,
+                lastDeployedDateTime,
+                deploymentExpirationDate,
+                modelTrainingConfigVersion,
+                assignedResources?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.DeploymentResource"/>. </summary>
+        /// <param name="resourceId"> Represents the Azure resource Id. </param>
+        /// <param name="region"> Represents the resource region. </param>
+        /// <returns> A new <see cref="Models.DeploymentResource"/> instance for mocking. </returns>
+        public static DeploymentResource DeploymentResource(string resourceId = null, string region = null)
+        {
+            return new DeploymentResource(resourceId, region, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetDeploymentResponse"/>. </summary>
+        /// <param name="modelId"> Represents deployment modelId. </param>
+        /// <param name="lastTrainedDateTime"> Represents deployment last trained time. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <param name="modelTrainingConfigVersion"> Represents model training config version. </param>
+        /// <param name="assignedResources"> Represents the metadata of the assigned Azure resources. </param>
+        /// <returns> A new <see cref="Models.GetDeploymentResponse"/> instance for mocking. </returns>
+        public static GetDeploymentResponse GetDeploymentResponse(string modelId = null, DateTimeOffset lastTrainedDateTime = default, DateTimeOffset lastDeployedDateTime = default, DateTimeOffset deploymentExpirationDate = default, string modelTrainingConfigVersion = null, IEnumerable<DeploymentResource> assignedResources = null)
+        {
+            assignedResources ??= new List<DeploymentResource>();
+
+            return new GetDeploymentResponse(
+                modelId,
+                lastTrainedDateTime,
+                lastDeployedDateTime,
+                deploymentExpirationDate,
+                modelTrainingConfigVersion,
+                assignedResources?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.CreateDeploymentConfig"/>. </summary>
+        /// <param name="trainedModelLabel"> Represents the trained model label. </param>
+        /// <param name="assignedResourceIds">
+        /// Represents the resource IDs to be assigned to the deployment.
+        /// If provided, the deployment will be rolled out to the resources
+        /// provided here as well as the original resource in which the project is created.
+        /// </param>
+        /// <returns> A new <see cref="Models.CreateDeploymentConfig"/> instance for mocking. </returns>
+        public static CreateDeploymentConfig CreateDeploymentConfig(string trainedModelLabel = null, IEnumerable<string> assignedResourceIds = null)
+        {
+            assignedResourceIds ??= new List<string>();
+
+            return new CreateDeploymentConfig(trainedModelLabel, assignedResourceIds?.ToList(), serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetDeploymentDeleteFromResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetDeploymentDeleteFromResourcesStatusResponse"/> instance for mocking. </returns>
+        public static GetDeploymentDeleteFromResourcesStatusResponse GetDeploymentDeleteFromResourcesStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<AuthoringConversationsWarning> warnings = null, IEnumerable<AuthoringConversationsError> errors = null)
+        {
+            warnings ??= new List<AuthoringConversationsWarning>();
+            errors ??= new List<AuthoringConversationsError>();
+
+            return new GetDeploymentDeleteFromResourcesStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetDeploymentStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetDeploymentStatusResponse"/> instance for mocking. </returns>
+        public static GetDeploymentStatusResponse GetDeploymentStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<AuthoringConversationsWarning> warnings = null, IEnumerable<AuthoringConversationsError> errors = null)
+        {
+            warnings ??= new List<AuthoringConversationsWarning>();
+            errors ??= new List<AuthoringConversationsError>();
+
+            return new GetDeploymentStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetSwapDeploymentsStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetSwapDeploymentsStatusResponse"/> instance for mocking. </returns>
+        public static GetSwapDeploymentsStatusResponse GetSwapDeploymentsStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<AuthoringConversationsWarning> warnings = null, IEnumerable<AuthoringConversationsError> errors = null)
+        {
+            warnings ??= new List<AuthoringConversationsWarning>();
+            errors ??= new List<AuthoringConversationsError>();
+
+            return new GetSwapDeploymentsStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetExportStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="resultUrl"> The URL to use in order to download the exported project. </param>
+        /// <returns> A new <see cref="Models.GetExportStatusResponse"/> instance for mocking. </returns>
+        public static GetExportStatusResponse GetExportStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<AuthoringConversationsWarning> warnings = null, IEnumerable<AuthoringConversationsError> errors = null, string resultUrl = null)
+        {
+            warnings ??= new List<AuthoringConversationsWarning>();
+            errors ??= new List<AuthoringConversationsError>();
+
+            return new GetExportStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                resultUrl,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetImportStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetImportStatusResponse"/> instance for mocking. </returns>
+        public static GetImportStatusResponse GetImportStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<AuthoringConversationsWarning> warnings = null, IEnumerable<AuthoringConversationsError> errors = null)
+        {
+            warnings ??= new List<AuthoringConversationsWarning>();
+            errors ??= new List<AuthoringConversationsError>();
+
+            return new GetImportStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ProjectTrainedModel"/>. </summary>
+        /// <param name="label"> The trained model label. </param>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastTrainingDurationInSeconds"> The duration of the model's last training request in seconds. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <param name="hasSnapshot"> The flag to indicate if the trained model has a snapshot ready. </param>
+        /// <returns> A new <see cref="Models.ProjectTrainedModel"/> instance for mocking. </returns>
+        public static ProjectTrainedModel ProjectTrainedModel(string label = null, string modelId = null, DateTimeOffset lastTrainedDateTime = default, int lastTrainingDurationInSeconds = default, DateTimeOffset modelExpirationDate = default, string modelTrainingConfigVersion = null, bool hasSnapshot = default)
+        {
+            return new ProjectTrainedModel(
+                label,
+                modelId,
+                lastTrainedDateTime,
+                lastTrainingDurationInSeconds,
+                modelExpirationDate,
+                modelTrainingConfigVersion,
+                hasSnapshot,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetTrainedModelResponse"/>. </summary>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastTrainingDurationInSeconds"> The duration of the model's last training request in seconds. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <param name="hasSnapshot"> The flag to indicate if the trained model has a snapshot ready. </param>
+        /// <returns> A new <see cref="Models.GetTrainedModelResponse"/> instance for mocking. </returns>
+        public static GetTrainedModelResponse GetTrainedModelResponse(string modelId = null, DateTimeOffset lastTrainedDateTime = default, int lastTrainingDurationInSeconds = default, DateTimeOffset modelExpirationDate = default, string modelTrainingConfigVersion = null, bool hasSnapshot = default)
+        {
+            return new GetTrainedModelResponse(
+                modelId,
+                lastTrainedDateTime,
+                lastTrainingDurationInSeconds,
+                modelExpirationDate,
+                modelTrainingConfigVersion,
+                hasSnapshot,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.EvaluationJobResult"/>. </summary>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="modelLabel"> Represents trained model label. </param>
+        /// <param name="trainingConfigVersion"> Represents training config version. </param>
+        /// <param name="percentComplete"> Represents progress percentage. </param>
+        /// <returns> A new <see cref="Models.EvaluationJobResult"/> instance for mocking. </returns>
+        public static EvaluationJobResult EvaluationJobResult(EvaluationConfig evaluationOptions = null, string modelLabel = null, string trainingConfigVersion = null, int percentComplete = default)
+        {
+            return new EvaluationJobResult(evaluationOptions, modelLabel, trainingConfigVersion, percentComplete, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetEvaluationStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="result"> Represents evaluation task detailed result. </param>
+        /// <returns> A new <see cref="Models.GetEvaluationStatusResponse"/> instance for mocking. </returns>
+        public static GetEvaluationStatusResponse GetEvaluationStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<AuthoringConversationsWarning> warnings = null, IEnumerable<AuthoringConversationsError> errors = null, EvaluationJobResult result = null)
+        {
+            warnings ??= new List<AuthoringConversationsWarning>();
+            errors ??= new List<AuthoringConversationsError>();
+
+            return new GetEvaluationStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                result,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.UtteranceEvaluationResult"/>. </summary>
+        /// <param name="text"> Represents the utterance text. </param>
+        /// <param name="language">
+        /// Represents the utterance language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="entitiesResult"> Represents the entities results for the utterance. </param>
+        /// <param name="intentsResult"> Represents the intents results for the utterance. </param>
+        /// <returns> A new <see cref="Models.UtteranceEvaluationResult"/> instance for mocking. </returns>
+        public static UtteranceEvaluationResult UtteranceEvaluationResult(string text = null, string language = null, UtteranceEntitiesEvaluationResult entitiesResult = null, UtteranceIntentsEvaluationResult intentsResult = null)
+        {
+            return new UtteranceEvaluationResult(text, language, entitiesResult, intentsResult, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.UtteranceEntitiesEvaluationResult"/>. </summary>
+        /// <param name="expectedEntities"> Represents the expected entity labels. </param>
+        /// <param name="predictedEntities"> Represents the predicted entity labels. </param>
+        /// <returns> A new <see cref="Models.UtteranceEntitiesEvaluationResult"/> instance for mocking. </returns>
+        public static UtteranceEntitiesEvaluationResult UtteranceEntitiesEvaluationResult(IEnumerable<UtteranceEntityEvaluationResult> expectedEntities = null, IEnumerable<UtteranceEntityEvaluationResult> predictedEntities = null)
+        {
+            expectedEntities ??= new List<UtteranceEntityEvaluationResult>();
+            predictedEntities ??= new List<UtteranceEntityEvaluationResult>();
+
+            return new UtteranceEntitiesEvaluationResult(expectedEntities?.ToList(), predictedEntities?.ToList(), serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.UtteranceEntityEvaluationResult"/>. </summary>
+        /// <param name="category"> Represents the entity category. </param>
+        /// <param name="offset"> Represents the entity offset index relative to the original text. </param>
+        /// <param name="length"> Represents the entity length. </param>
+        /// <returns> A new <see cref="Models.UtteranceEntityEvaluationResult"/> instance for mocking. </returns>
+        public static UtteranceEntityEvaluationResult UtteranceEntityEvaluationResult(string category = null, int offset = default, int length = default)
+        {
+            return new UtteranceEntityEvaluationResult(category, offset, length, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.UtteranceIntentsEvaluationResult"/>. </summary>
+        /// <param name="expectedIntent"> Represents the utterance's expected intent. </param>
+        /// <param name="predictedIntent"> Represents the utterance's predicted intent. </param>
+        /// <returns> A new <see cref="Models.UtteranceIntentsEvaluationResult"/> instance for mocking. </returns>
+        public static UtteranceIntentsEvaluationResult UtteranceIntentsEvaluationResult(string expectedIntent = null, string predictedIntent = null)
+        {
+            return new UtteranceIntentsEvaluationResult(expectedIntent, predictedIntent, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.EvaluationSummary"/>. </summary>
+        /// <param name="entitiesEvaluation"> Contains the data related to entities evaluation. </param>
+        /// <param name="intentsEvaluation"> Contains the data related to intents evaluation. </param>
+        /// <param name="evaluationOptions"> The options that were used while running the evaluation. </param>
+        /// <returns> A new <see cref="Models.EvaluationSummary"/> instance for mocking. </returns>
+        public static EvaluationSummary EvaluationSummary(EntitiesEvaluationSummary entitiesEvaluation = null, IntentsEvaluationSummary intentsEvaluation = null, EvaluationConfig evaluationOptions = null)
+        {
+            return new EvaluationSummary(entitiesEvaluation, intentsEvaluation, evaluationOptions, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.EntitiesEvaluationSummary"/>. </summary>
+        /// <param name="confusionMatrix">
+        /// Represents the confusion matrix between two entities (the two entities can be
+        /// the same). The matrix is between the entity that was labelled and the entity
+        /// that was predicted.
+        /// </param>
+        /// <param name="entities"> Represents the entities evaluation summary. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <returns> A new <see cref="Models.EntitiesEvaluationSummary"/> instance for mocking. </returns>
+        public static EntitiesEvaluationSummary EntitiesEvaluationSummary(ConfusionMatrix confusionMatrix = null, IReadOnlyDictionary<string, EntityEvaluationSummary> entities = null, float microF1 = default, float microPrecision = default, float microRecall = default, float macroF1 = default, float macroPrecision = default, float macroRecall = default)
+        {
+            entities ??= new Dictionary<string, EntityEvaluationSummary>();
+
+            return new EntitiesEvaluationSummary(
+                confusionMatrix,
+                entities,
+                microF1,
+                microPrecision,
+                microRecall,
+                macroF1,
+                macroPrecision,
+                macroRecall,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ConfusionMatrix"/>. </summary>
+        /// <param name="additionalProperties"> Additional Properties. </param>
+        /// <returns> A new <see cref="Models.ConfusionMatrix"/> instance for mocking. </returns>
+        public static ConfusionMatrix ConfusionMatrix(IReadOnlyDictionary<string, BinaryData> additionalProperties = null)
+        {
+            additionalProperties ??= new Dictionary<string, BinaryData>();
+
+            return new ConfusionMatrix(additionalProperties);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ConfusionMatrixRow"/>. </summary>
+        /// <param name="additionalProperties"> Additional Properties. </param>
+        /// <returns> A new <see cref="Models.ConfusionMatrixRow"/> instance for mocking. </returns>
+        public static ConfusionMatrixRow ConfusionMatrixRow(IReadOnlyDictionary<string, BinaryData> additionalProperties = null)
+        {
+            additionalProperties ??= new Dictionary<string, BinaryData>();
+
+            return new ConfusionMatrixRow(additionalProperties);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ConfusionMatrixCell"/>. </summary>
+        /// <param name="normalizedValue"> Represents normalized value in percentages. </param>
+        /// <param name="rawValue"> Represents raw value. </param>
+        /// <returns> A new <see cref="Models.ConfusionMatrixCell"/> instance for mocking. </returns>
+        public static ConfusionMatrixCell ConfusionMatrixCell(float normalizedValue = default, float rawValue = default)
+        {
+            return new ConfusionMatrixCell(normalizedValue, rawValue, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.EntityEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        /// <returns> A new <see cref="Models.EntityEvaluationSummary"/> instance for mocking. </returns>
+        public static EntityEvaluationSummary EntityEvaluationSummary(double f1 = default, double precision = default, double recall = default, int truePositiveCount = default, int trueNegativeCount = default, int falsePositiveCount = default, int falseNegativeCount = default)
+        {
+            return new EntityEvaluationSummary(
+                f1,
+                precision,
+                recall,
+                truePositiveCount,
+                trueNegativeCount,
+                falsePositiveCount,
+                falseNegativeCount,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.IntentsEvaluationSummary"/>. </summary>
+        /// <param name="confusionMatrix">
+        /// Represents the confusion matrix between two intents (the two intents can be the
+        /// same). The matrix is between the intent that was labelled and the intent that
+        /// was predicted.
+        /// </param>
+        /// <param name="intents"> Represents the intents evaluation summary. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <returns> A new <see cref="Models.IntentsEvaluationSummary"/> instance for mocking. </returns>
+        public static IntentsEvaluationSummary IntentsEvaluationSummary(ConfusionMatrix confusionMatrix = null, IReadOnlyDictionary<string, IntentEvaluationSummary> intents = null, float microF1 = default, float microPrecision = default, float microRecall = default, float macroF1 = default, float macroPrecision = default, float macroRecall = default)
+        {
+            intents ??= new Dictionary<string, IntentEvaluationSummary>();
+
+            return new IntentsEvaluationSummary(
+                confusionMatrix,
+                intents,
+                microF1,
+                microPrecision,
+                microRecall,
+                macroF1,
+                macroPrecision,
+                macroRecall,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.IntentEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        /// <returns> A new <see cref="Models.IntentEvaluationSummary"/> instance for mocking. </returns>
+        public static IntentEvaluationSummary IntentEvaluationSummary(double f1 = default, double precision = default, double recall = default, int truePositiveCount = default, int trueNegativeCount = default, int falsePositiveCount = default, int falseNegativeCount = default)
+        {
+            return new IntentEvaluationSummary(
+                f1,
+                precision,
+                recall,
+                truePositiveCount,
+                trueNegativeCount,
+                falsePositiveCount,
+                falseNegativeCount,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetLoadSnapshotStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetLoadSnapshotStatusResponse"/> instance for mocking. </returns>
+        public static GetLoadSnapshotStatusResponse GetLoadSnapshotStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<AuthoringConversationsWarning> warnings = null, IEnumerable<AuthoringConversationsError> errors = null)
+        {
+            warnings ??= new List<AuthoringConversationsWarning>();
+            errors ??= new List<AuthoringConversationsError>();
+
+            return new GetLoadSnapshotStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.AssignedDeploymentResource"/>. </summary>
+        /// <param name="azureResourceId"> The resource ID. </param>
+        /// <param name="region"> The resource region. </param>
+        /// <returns> A new <see cref="Models.AssignedDeploymentResource"/> instance for mocking. </returns>
+        public static AssignedDeploymentResource AssignedDeploymentResource(string azureResourceId = null, string region = null)
+        {
+            return new AssignedDeploymentResource(azureResourceId, region, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetAssignDeploymentResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetAssignDeploymentResourcesStatusResponse"/> instance for mocking. </returns>
+        public static GetAssignDeploymentResourcesStatusResponse GetAssignDeploymentResourcesStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<AuthoringConversationsWarning> warnings = null, IEnumerable<AuthoringConversationsError> errors = null)
+        {
+            warnings ??= new List<AuthoringConversationsWarning>();
+            errors ??= new List<AuthoringConversationsError>();
+
+            return new GetAssignDeploymentResourcesStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetUnassignDeploymentResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetUnassignDeploymentResourcesStatusResponse"/> instance for mocking. </returns>
+        public static GetUnassignDeploymentResourcesStatusResponse GetUnassignDeploymentResourcesStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<AuthoringConversationsWarning> warnings = null, IEnumerable<AuthoringConversationsError> errors = null)
+        {
+            warnings ??= new List<AuthoringConversationsWarning>();
+            errors ??= new List<AuthoringConversationsError>();
+
+            return new GetUnassignDeploymentResourcesStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetTrainingStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="result"> Represents training tasks detailed result. </param>
+        /// <returns> A new <see cref="Models.GetTrainingStatusResponse"/> instance for mocking. </returns>
+        public static GetTrainingStatusResponse GetTrainingStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<AuthoringConversationsWarning> warnings = null, IEnumerable<AuthoringConversationsError> errors = null, TrainingJobResult result = null)
+        {
+            warnings ??= new List<AuthoringConversationsWarning>();
+            errors ??= new List<AuthoringConversationsError>();
+
+            return new GetTrainingStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                result,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetProjectDeletionStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetProjectDeletionStatusResponse"/> instance for mocking. </returns>
+        public static GetProjectDeletionStatusResponse GetProjectDeletionStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<AuthoringConversationsWarning> warnings = null, IEnumerable<AuthoringConversationsError> errors = null)
+        {
+            warnings ??= new List<AuthoringConversationsWarning>();
+            errors ??= new List<AuthoringConversationsError>();
+
+            return new GetProjectDeletionStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.AssignedResourceDeploymentsMetadata"/>. </summary>
+        /// <param name="value"> The list of retrieved assigned project deployments. </param>
+        /// <param name="nextLink"> The next page link. </param>
+        /// <returns> A new <see cref="Models.AssignedResourceDeploymentsMetadata"/> instance for mocking. </returns>
+        public static AssignedResourceDeploymentsMetadata AssignedResourceDeploymentsMetadata(IEnumerable<AssignedProjectDeploymentsMetadata> value = null, string nextLink = null)
+        {
+            value ??= new List<AssignedProjectDeploymentsMetadata>();
+
+            return new AssignedResourceDeploymentsMetadata(value?.ToList(), nextLink, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.AssignedProjectDeploymentsMetadata"/>. </summary>
+        /// <param name="projectName"> Represents the project name. </param>
+        /// <param name="deploymentsMetadata"> Represents the resource region. </param>
+        /// <returns> A new <see cref="Models.AssignedProjectDeploymentsMetadata"/> instance for mocking. </returns>
+        public static AssignedProjectDeploymentsMetadata AssignedProjectDeploymentsMetadata(string projectName = null, IEnumerable<AssignedProjectDeploymentMetadata> deploymentsMetadata = null)
+        {
+            deploymentsMetadata ??= new List<AssignedProjectDeploymentMetadata>();
+
+            return new AssignedProjectDeploymentsMetadata(projectName, deploymentsMetadata?.ToList(), serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.AssignedProjectDeploymentMetadata"/>. </summary>
+        /// <param name="deploymentName"> Represents the deployment name. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <returns> A new <see cref="Models.AssignedProjectDeploymentMetadata"/> instance for mocking. </returns>
+        public static AssignedProjectDeploymentMetadata AssignedProjectDeploymentMetadata(string deploymentName = null, DateTimeOffset lastDeployedDateTime = default, DateTimeOffset deploymentExpirationDate = default)
+        {
+            return new AssignedProjectDeploymentMetadata(deploymentName, lastDeployedDateTime, deploymentExpirationDate, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.SupportedLanguages"/>. </summary>
+        /// <param name="value"> The list of the languages. </param>
+        /// <param name="nextLink"> The next page link. </param>
+        /// <returns> A new <see cref="Models.SupportedLanguages"/> instance for mocking. </returns>
+        public static SupportedLanguages SupportedLanguages(IEnumerable<SupportedLanguage> value = null, string nextLink = null)
+        {
+            value ??= new List<SupportedLanguage>();
+
+            return new SupportedLanguages(value?.ToList(), nextLink, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.SupportedLanguage"/>. </summary>
+        /// <param name="languageName"> The language name. </param>
+        /// <param name="languageCode">
+        /// The language code. This is BCP-47 representation of a language. For example,
+        /// "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <returns> A new <see cref="Models.SupportedLanguage"/> instance for mocking. </returns>
+        public static SupportedLanguage SupportedLanguage(string languageName = null, string languageCode = null)
+        {
+            return new SupportedLanguage(languageName, languageCode, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.PrebuiltEntities"/>. </summary>
+        /// <param name="value"> The supported prebuilt entities. </param>
+        /// <param name="nextLink"> The next page link. </param>
+        /// <returns> A new <see cref="Models.PrebuiltEntities"/> instance for mocking. </returns>
+        public static PrebuiltEntities PrebuiltEntities(IEnumerable<PrebuiltEntity> value = null, string nextLink = null)
+        {
+            value ??= new List<PrebuiltEntity>();
+
+            return new PrebuiltEntities(value?.ToList(), nextLink, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.PrebuiltEntity"/>. </summary>
+        /// <param name="category"> The prebuilt entity category. </param>
+        /// <param name="description"> The description. </param>
+        /// <param name="examples"> English examples for the entity. </param>
+        /// <returns> A new <see cref="Models.PrebuiltEntity"/> instance for mocking. </returns>
+        public static PrebuiltEntity PrebuiltEntity(string category = null, string description = null, string examples = null)
+        {
+            return new PrebuiltEntity(category, description, examples, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.TrainingConfigVersions"/>. </summary>
+        /// <param name="value"> The list of the training config versions. </param>
+        /// <param name="nextLink"> The next page link. </param>
+        /// <returns> A new <see cref="Models.TrainingConfigVersions"/> instance for mocking. </returns>
+        public static TrainingConfigVersions TrainingConfigVersions(IEnumerable<TrainingConfigVersion> value = null, string nextLink = null)
+        {
+            value ??= new List<TrainingConfigVersion>();
+
+            return new TrainingConfigVersions(value?.ToList(), nextLink, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.TrainingConfigVersion"/>. </summary>
+        /// <param name="trainingConfigVersionProperty"> Represents the version of the config. </param>
+        /// <param name="modelExpirationDate"> Represents the training config version expiration date. </param>
+        /// <returns> A new <see cref="Models.TrainingConfigVersion"/> instance for mocking. </returns>
+        public static TrainingConfigVersion TrainingConfigVersion(string trainingConfigVersionProperty = null, DateTimeOffset modelExpirationDate = default)
+        {
+            return new TrainingConfigVersion(trainingConfigVersionProperty, modelExpirationDate, serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetExportedModelResponse"/>. </summary>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastExportedModelDateTime"> The last exported date time of the model. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <returns> A new <see cref="Models.GetExportedModelResponse"/> instance for mocking. </returns>
+        public static GetExportedModelResponse GetExportedModelResponse(string modelId = null, DateTimeOffset lastTrainedDateTime = default, DateTimeOffset lastExportedModelDateTime = default, DateTimeOffset modelExpirationDate = default, string modelTrainingConfigVersion = null)
+        {
+            return new GetExportedModelResponse(
+                modelId,
+                lastTrainedDateTime,
+                lastExportedModelDateTime,
+                modelExpirationDate,
+                modelTrainingConfigVersion,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.ExportedTrainedModel"/>. </summary>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastExportedModelDateTime"> The last exported date time of the model. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <returns> A new <see cref="Models.ExportedTrainedModel"/> instance for mocking. </returns>
+        public static ExportedTrainedModel ExportedTrainedModel(string exportedModelName = null, string modelId = null, DateTimeOffset lastTrainedDateTime = default, DateTimeOffset lastExportedModelDateTime = default, DateTimeOffset modelExpirationDate = default, string modelTrainingConfigVersion = null)
+        {
+            return new ExportedTrainedModel(
+                exportedModelName,
+                modelId,
+                lastTrainedDateTime,
+                lastExportedModelDateTime,
+                modelExpirationDate,
+                modelTrainingConfigVersion,
+                serializedAdditionalRawData: null);
+        }
+
+        /// <summary> Initializes a new instance of <see cref="Models.GetExportedModelJobStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <returns> A new <see cref="Models.GetExportedModelJobStatusResponse"/> instance for mocking. </returns>
+        public static GetExportedModelJobStatusResponse GetExportedModelJobStatusResponse(DateTimeOffset createdDateTime = default, DateTimeOffset lastUpdatedDateTime = default, DateTimeOffset? expirationDateTime = null, JobStatus status = default, IEnumerable<AuthoringConversationsWarning> warnings = null, IEnumerable<AuthoringConversationsError> errors = null)
+        {
+            warnings ??= new List<AuthoringConversationsWarning>();
+            errors ??= new List<AuthoringConversationsError>();
+
+            return new GetExportedModelJobStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings?.ToList(),
+                errors?.ToList(),
+                serializedAdditionalRawData: null);
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/ConversationalAnalysisAuthoring.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/ConversationalAnalysisAuthoring.cs
new file mode 100644
index 000000000000..731a88eda585
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/ConversationalAnalysisAuthoring.cs
@@ -0,0 +1,6775 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Text.Json;
+using System.Threading;
+using System.Threading.Tasks;
+using Autorest.CSharp.Core;
+using Azure.AI.Language.Authoring.Conversations.Models;
+using Azure.Core;
+using Azure.Core.Pipeline;
+
+namespace Azure.AI.Language.Authoring.Conversations
+{
+    // Data plane generated sub-client.
+    /// <summary> The ConversationalAnalysisAuthoring sub-client. </summary>
+    public partial class ConversationalAnalysisAuthoring
+    {
+        private const string AuthorizationHeader = "Ocp-Apim-Subscription-Key";
+        private readonly AzureKeyCredential _keyCredential;
+        private static readonly string[] AuthorizationScopes = new string[] { "https://cognitiveservices.azure.com/.default" };
+        private readonly TokenCredential _tokenCredential;
+        private readonly HttpPipeline _pipeline;
+        private readonly Uri _endpoint;
+        private readonly string _apiVersion;
+
+        /// <summary> The ClientDiagnostics is used to provide tracing support for the client library. </summary>
+        internal ClientDiagnostics ClientDiagnostics { get; }
+
+        /// <summary> The HTTP pipeline for sending and receiving REST requests and responses. </summary>
+        public virtual HttpPipeline Pipeline => _pipeline;
+
+        /// <summary> Initializes a new instance of ConversationalAnalysisAuthoring for mocking. </summary>
+        protected ConversationalAnalysisAuthoring()
+        {
+        }
+
+        /// <summary> Initializes a new instance of ConversationalAnalysisAuthoring. </summary>
+        /// <param name="clientDiagnostics"> The handler for diagnostic messaging in the client. </param>
+        /// <param name="pipeline"> The HTTP pipeline for sending and receiving REST requests and responses. </param>
+        /// <param name="keyCredential"> The key credential to copy. </param>
+        /// <param name="tokenCredential"> The token credential to copy. </param>
+        /// <param name="endpoint">
+        /// Supported Cognitive Services endpoint (e.g.,
+        /// https://&lt;resource-name&gt;.api.cognitiveservices.azure.com).
+        /// </param>
+        /// <param name="apiVersion"> The API version to use for this operation. </param>
+        internal ConversationalAnalysisAuthoring(ClientDiagnostics clientDiagnostics, HttpPipeline pipeline, AzureKeyCredential keyCredential, TokenCredential tokenCredential, Uri endpoint, string apiVersion)
+        {
+            ClientDiagnostics = clientDiagnostics;
+            _pipeline = pipeline;
+            _keyCredential = keyCredential;
+            _tokenCredential = tokenCredential;
+            _endpoint = endpoint;
+            _apiVersion = apiVersion;
+        }
+
+        /// <summary> Gets the details of a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjectAsync(string,CancellationToken)']/*" />
+        public virtual async Task<Response<ProjectMetadata>> GetProjectAsync(string projectName, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetProjectAsync(projectName, context).ConfigureAwait(false);
+            return Response.FromValue(ProjectMetadata.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the details of a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetProject(string,CancellationToken)']/*" />
+        public virtual Response<ProjectMetadata> GetProject(string projectName, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetProject(projectName, context);
+            return Response.FromValue(ProjectMetadata.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details of a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetProjectAsync(string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjectAsync(string,RequestContext)']/*" />
+        public virtual async Task<Response> GetProjectAsync(string projectName, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetProjectRequest(projectName, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details of a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetProject(string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetProject(string,RequestContext)']/*" />
+        public virtual Response GetProject(string projectName, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetProjectRequest(projectName, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Creates a new project or updates an existing one.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CreateProjectAsync(string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Response> CreateProjectAsync(string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.CreateProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCreateProjectRequest(projectName, content, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Creates a new project or updates an existing one.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CreateProject(string,RequestContent,RequestContext)']/*" />
+        public virtual Response CreateProject(string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.CreateProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCreateProjectRequest(projectName, content, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// Generates a copy project operation authorization to the current target Azure
+        /// resource.
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="storageInputContainerName"> The name of the storage container. </param>
+        /// <param name="allowOverwrite"> Whether to allow an existing project to be overwritten using the resulting copy authorization. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CopyProjectAuthorizationAsync(string,ProjectKind,string,bool?,CancellationToken)']/*" />
+        public virtual async Task<Response<CopyProjectConfig>> CopyProjectAuthorizationAsync(string projectName, ProjectKind projectKind, string storageInputContainerName = null, bool? allowOverwrite = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            CopyProjectAuthorizationRequest copyProjectAuthorizationRequest = new CopyProjectAuthorizationRequest(projectKind, storageInputContainerName, allowOverwrite, null);
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await CopyProjectAuthorizationAsync(projectName, copyProjectAuthorizationRequest.ToRequestContent(), context).ConfigureAwait(false);
+            return Response.FromValue(CopyProjectConfig.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// Generates a copy project operation authorization to the current target Azure
+        /// resource.
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="storageInputContainerName"> The name of the storage container. </param>
+        /// <param name="allowOverwrite"> Whether to allow an existing project to be overwritten using the resulting copy authorization. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CopyProjectAuthorization(string,ProjectKind,string,bool?,CancellationToken)']/*" />
+        public virtual Response<CopyProjectConfig> CopyProjectAuthorization(string projectName, ProjectKind projectKind, string storageInputContainerName = null, bool? allowOverwrite = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            CopyProjectAuthorizationRequest copyProjectAuthorizationRequest = new CopyProjectAuthorizationRequest(projectKind, storageInputContainerName, allowOverwrite, null);
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = CopyProjectAuthorization(projectName, copyProjectAuthorizationRequest.ToRequestContent(), context);
+            return Response.FromValue(CopyProjectConfig.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Generates a copy project operation authorization to the current target Azure
+        /// resource.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="CopyProjectAuthorizationAsync(string,ProjectKind,string,bool?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CopyProjectAuthorizationAsync(string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Response> CopyProjectAuthorizationAsync(string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.CopyProjectAuthorization");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCopyProjectAuthorizationRequest(projectName, content, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Generates a copy project operation authorization to the current target Azure
+        /// resource.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="CopyProjectAuthorization(string,ProjectKind,string,bool?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CopyProjectAuthorization(string,RequestContent,RequestContext)']/*" />
+        public virtual Response CopyProjectAuthorization(string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.CopyProjectAuthorization");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCopyProjectAuthorizationRequest(projectName, content, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status of an existing copy project job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetCopyProjectStatusAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetCopyProjectStatusResponse>> GetCopyProjectStatusAsync(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetCopyProjectStatusAsync(projectName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetCopyProjectStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status of an existing copy project job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetCopyProjectStatus(string,string,CancellationToken)']/*" />
+        public virtual Response<GetCopyProjectStatusResponse> GetCopyProjectStatus(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetCopyProjectStatus(projectName, jobId, context);
+            return Response.FromValue(GetCopyProjectStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing copy project job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetCopyProjectStatusAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetCopyProjectStatusAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetCopyProjectStatusAsync(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetCopyProjectStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetCopyProjectStatusRequest(projectName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing copy project job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetCopyProjectStatus(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetCopyProjectStatus(string,string,RequestContext)']/*" />
+        public virtual Response GetCopyProjectStatus(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetCopyProjectStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetCopyProjectStatusRequest(projectName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the details of a deployment. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetDeploymentResponse>> GetDeploymentAsync(string projectName, string deploymentName, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetDeploymentAsync(projectName, deploymentName, context).ConfigureAwait(false);
+            return Response.FromValue(GetDeploymentResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the details of a deployment. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeployment(string,string,CancellationToken)']/*" />
+        public virtual Response<GetDeploymentResponse> GetDeployment(string projectName, string deploymentName, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetDeployment(projectName, deploymentName, context);
+            return Response.FromValue(GetDeploymentResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details of a deployment.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeploymentAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetDeploymentAsync(string projectName, string deploymentName, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetDeployment");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetDeploymentRequest(projectName, deploymentName, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details of a deployment.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeployment(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeployment(string,string,RequestContext)']/*" />
+        public virtual Response GetDeployment(string projectName, string deploymentName, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetDeployment");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetDeploymentRequest(projectName, deploymentName, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status of an existing delete deployment from specific resources job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentDeleteFromResourcesStatusAsync(string,string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetDeploymentDeleteFromResourcesStatusResponse>> GetDeploymentDeleteFromResourcesStatusAsync(string projectName, string deploymentName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetDeploymentDeleteFromResourcesStatusAsync(projectName, deploymentName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetDeploymentDeleteFromResourcesStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status of an existing delete deployment from specific resources job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentDeleteFromResourcesStatus(string,string,string,CancellationToken)']/*" />
+        public virtual Response<GetDeploymentDeleteFromResourcesStatusResponse> GetDeploymentDeleteFromResourcesStatus(string projectName, string deploymentName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetDeploymentDeleteFromResourcesStatus(projectName, deploymentName, jobId, context);
+            return Response.FromValue(GetDeploymentDeleteFromResourcesStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing delete deployment from specific resources job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeploymentDeleteFromResourcesStatusAsync(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentDeleteFromResourcesStatusAsync(string,string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetDeploymentDeleteFromResourcesStatusAsync(string projectName, string deploymentName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetDeploymentDeleteFromResourcesStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetDeploymentDeleteFromResourcesStatusRequest(projectName, deploymentName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing delete deployment from specific resources job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeploymentDeleteFromResourcesStatus(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentDeleteFromResourcesStatus(string,string,string,RequestContext)']/*" />
+        public virtual Response GetDeploymentDeleteFromResourcesStatus(string projectName, string deploymentName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetDeploymentDeleteFromResourcesStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetDeploymentDeleteFromResourcesStatusRequest(projectName, deploymentName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status of an existing deployment job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentStatusAsync(string,string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetDeploymentStatusResponse>> GetDeploymentStatusAsync(string projectName, string deploymentName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetDeploymentStatusAsync(projectName, deploymentName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetDeploymentStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status of an existing deployment job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentStatus(string,string,string,CancellationToken)']/*" />
+        public virtual Response<GetDeploymentStatusResponse> GetDeploymentStatus(string projectName, string deploymentName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetDeploymentStatus(projectName, deploymentName, jobId, context);
+            return Response.FromValue(GetDeploymentStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing deployment job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeploymentStatusAsync(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentStatusAsync(string,string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetDeploymentStatusAsync(string projectName, string deploymentName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetDeploymentStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetDeploymentStatusRequest(projectName, deploymentName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing deployment job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeploymentStatus(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentStatus(string,string,string,RequestContext)']/*" />
+        public virtual Response GetDeploymentStatus(string projectName, string deploymentName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetDeploymentStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetDeploymentStatusRequest(projectName, deploymentName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status of an existing swap deployment job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetSwapDeploymentsStatusAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetSwapDeploymentsStatusResponse>> GetSwapDeploymentsStatusAsync(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetSwapDeploymentsStatusAsync(projectName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetSwapDeploymentsStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status of an existing swap deployment job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetSwapDeploymentsStatus(string,string,CancellationToken)']/*" />
+        public virtual Response<GetSwapDeploymentsStatusResponse> GetSwapDeploymentsStatus(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetSwapDeploymentsStatus(projectName, jobId, context);
+            return Response.FromValue(GetSwapDeploymentsStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing swap deployment job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetSwapDeploymentsStatusAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetSwapDeploymentsStatusAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetSwapDeploymentsStatusAsync(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetSwapDeploymentsStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetSwapDeploymentsStatusRequest(projectName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing swap deployment job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetSwapDeploymentsStatus(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetSwapDeploymentsStatus(string,string,RequestContext)']/*" />
+        public virtual Response GetSwapDeploymentsStatus(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetSwapDeploymentsStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetSwapDeploymentsStatusRequest(projectName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// Gets the status of an export job. Once job completes, returns the project
+        /// metadata, and assets.
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportStatusAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetExportStatusResponse>> GetExportStatusAsync(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetExportStatusAsync(projectName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetExportStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// Gets the status of an export job. Once job completes, returns the project
+        /// metadata, and assets.
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportStatus(string,string,CancellationToken)']/*" />
+        public virtual Response<GetExportStatusResponse> GetExportStatus(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetExportStatus(projectName, jobId, context);
+            return Response.FromValue(GetExportStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an export job. Once job completes, returns the project
+        /// metadata, and assets.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportStatusAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportStatusAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetExportStatusAsync(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetExportStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetExportStatusRequest(projectName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an export job. Once job completes, returns the project
+        /// metadata, and assets.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportStatus(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportStatus(string,string,RequestContext)']/*" />
+        public virtual Response GetExportStatus(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetExportStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetExportStatusRequest(projectName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status for an import. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetImportStatusAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetImportStatusResponse>> GetImportStatusAsync(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetImportStatusAsync(projectName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetImportStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status for an import. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetImportStatus(string,string,CancellationToken)']/*" />
+        public virtual Response<GetImportStatusResponse> GetImportStatus(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetImportStatus(projectName, jobId, context);
+            return Response.FromValue(GetImportStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for an import.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetImportStatusAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetImportStatusAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetImportStatusAsync(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetImportStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetImportStatusRequest(projectName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for an import.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetImportStatus(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetImportStatus(string,string,RequestContext)']/*" />
+        public virtual Response GetImportStatus(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetImportStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetImportStatusRequest(projectName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the details of a trained model. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainedModelAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetTrainedModelResponse>> GetTrainedModelAsync(string projectName, string trainedModelLabel, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetTrainedModelAsync(projectName, trainedModelLabel, context).ConfigureAwait(false);
+            return Response.FromValue(GetTrainedModelResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the details of a trained model. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainedModel(string,string,CancellationToken)']/*" />
+        public virtual Response<GetTrainedModelResponse> GetTrainedModel(string projectName, string trainedModelLabel, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetTrainedModel(projectName, trainedModelLabel, context);
+            return Response.FromValue(GetTrainedModelResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details of a trained model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainedModelAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainedModelAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetTrainedModelAsync(string projectName, string trainedModelLabel, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetTrainedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetTrainedModelRequest(projectName, trainedModelLabel, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details of a trained model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainedModel(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainedModel(string,string,RequestContext)']/*" />
+        public virtual Response GetTrainedModel(string projectName, string trainedModelLabel, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetTrainedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetTrainedModelRequest(projectName, trainedModelLabel, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Deletes an existing trained model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteTrainedModelAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> DeleteTrainedModelAsync(string projectName, string trainedModelLabel, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.DeleteTrainedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteTrainedModelRequest(projectName, trainedModelLabel, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Deletes an existing trained model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteTrainedModel(string,string,RequestContext)']/*" />
+        public virtual Response DeleteTrainedModel(string projectName, string trainedModelLabel, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.DeleteTrainedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteTrainedModelRequest(projectName, trainedModelLabel, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status for an evaluation job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetEvaluationStatusAsync(string,string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetEvaluationStatusResponse>> GetEvaluationStatusAsync(string projectName, string trainedModelLabel, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetEvaluationStatusAsync(projectName, trainedModelLabel, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetEvaluationStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status for an evaluation job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetEvaluationStatus(string,string,string,CancellationToken)']/*" />
+        public virtual Response<GetEvaluationStatusResponse> GetEvaluationStatus(string projectName, string trainedModelLabel, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetEvaluationStatus(projectName, trainedModelLabel, jobId, context);
+            return Response.FromValue(GetEvaluationStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for an evaluation job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetEvaluationStatusAsync(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetEvaluationStatusAsync(string,string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetEvaluationStatusAsync(string projectName, string trainedModelLabel, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetEvaluationStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetEvaluationStatusRequest(projectName, trainedModelLabel, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for an evaluation job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetEvaluationStatus(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetEvaluationStatus(string,string,string,RequestContext)']/*" />
+        public virtual Response GetEvaluationStatus(string projectName, string trainedModelLabel, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetEvaluationStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetEvaluationStatusRequest(projectName, trainedModelLabel, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// Gets the evaluation summary of a trained model. The summary includes high level
+        /// performance measurements of the model e.g., F1, Precision, Recall, etc.
+        /// </summary>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetModelEvaluationSummaryAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<EvaluationSummary>> GetModelEvaluationSummaryAsync(string projectName, string trainedModelLabel, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetModelEvaluationSummaryAsync(projectName, trainedModelLabel, context).ConfigureAwait(false);
+            return Response.FromValue(EvaluationSummary.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// Gets the evaluation summary of a trained model. The summary includes high level
+        /// performance measurements of the model e.g., F1, Precision, Recall, etc.
+        /// </summary>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetModelEvaluationSummary(string,string,CancellationToken)']/*" />
+        public virtual Response<EvaluationSummary> GetModelEvaluationSummary(string projectName, string trainedModelLabel, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetModelEvaluationSummary(projectName, trainedModelLabel, context);
+            return Response.FromValue(EvaluationSummary.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the evaluation summary of a trained model. The summary includes high level
+        /// performance measurements of the model e.g., F1, Precision, Recall, etc.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetModelEvaluationSummaryAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetModelEvaluationSummaryAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetModelEvaluationSummaryAsync(string projectName, string trainedModelLabel, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetModelEvaluationSummary");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetModelEvaluationSummaryRequest(projectName, trainedModelLabel, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the evaluation summary of a trained model. The summary includes high level
+        /// performance measurements of the model e.g., F1, Precision, Recall, etc.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetModelEvaluationSummary(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetModelEvaluationSummary(string,string,RequestContext)']/*" />
+        public virtual Response GetModelEvaluationSummary(string projectName, string trainedModelLabel, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetModelEvaluationSummary");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetModelEvaluationSummaryRequest(projectName, trainedModelLabel, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status for loading a snapshot. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetLoadSnapshotStatusAsync(string,string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetLoadSnapshotStatusResponse>> GetLoadSnapshotStatusAsync(string projectName, string trainedModelLabel, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetLoadSnapshotStatusAsync(projectName, trainedModelLabel, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetLoadSnapshotStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status for loading a snapshot. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetLoadSnapshotStatus(string,string,string,CancellationToken)']/*" />
+        public virtual Response<GetLoadSnapshotStatusResponse> GetLoadSnapshotStatus(string projectName, string trainedModelLabel, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetLoadSnapshotStatus(projectName, trainedModelLabel, jobId, context);
+            return Response.FromValue(GetLoadSnapshotStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for loading a snapshot.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetLoadSnapshotStatusAsync(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetLoadSnapshotStatusAsync(string,string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetLoadSnapshotStatusAsync(string projectName, string trainedModelLabel, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetLoadSnapshotStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetLoadSnapshotStatusRequest(projectName, trainedModelLabel, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for loading a snapshot.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetLoadSnapshotStatus(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetLoadSnapshotStatus(string,string,string,RequestContext)']/*" />
+        public virtual Response GetLoadSnapshotStatus(string projectName, string trainedModelLabel, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetLoadSnapshotStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetLoadSnapshotStatusRequest(projectName, trainedModelLabel, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status of an existing assign deployment resources job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetAssignDeploymentResourcesStatusAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetAssignDeploymentResourcesStatusResponse>> GetAssignDeploymentResourcesStatusAsync(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetAssignDeploymentResourcesStatusAsync(projectName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetAssignDeploymentResourcesStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status of an existing assign deployment resources job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetAssignDeploymentResourcesStatus(string,string,CancellationToken)']/*" />
+        public virtual Response<GetAssignDeploymentResourcesStatusResponse> GetAssignDeploymentResourcesStatus(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetAssignDeploymentResourcesStatus(projectName, jobId, context);
+            return Response.FromValue(GetAssignDeploymentResourcesStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing assign deployment resources job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetAssignDeploymentResourcesStatusAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetAssignDeploymentResourcesStatusAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetAssignDeploymentResourcesStatusAsync(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetAssignDeploymentResourcesStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetAssignDeploymentResourcesStatusRequest(projectName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing assign deployment resources job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetAssignDeploymentResourcesStatus(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetAssignDeploymentResourcesStatus(string,string,RequestContext)']/*" />
+        public virtual Response GetAssignDeploymentResourcesStatus(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetAssignDeploymentResourcesStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetAssignDeploymentResourcesStatusRequest(projectName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status of an existing unassign deployment resources job. </summary>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetUnassignDeploymentResourcesStatusAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetUnassignDeploymentResourcesStatusResponse>> GetUnassignDeploymentResourcesStatusAsync(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetUnassignDeploymentResourcesStatusAsync(projectName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetUnassignDeploymentResourcesStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status of an existing unassign deployment resources job. </summary>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetUnassignDeploymentResourcesStatus(string,string,CancellationToken)']/*" />
+        public virtual Response<GetUnassignDeploymentResourcesStatusResponse> GetUnassignDeploymentResourcesStatus(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetUnassignDeploymentResourcesStatus(projectName, jobId, context);
+            return Response.FromValue(GetUnassignDeploymentResourcesStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing unassign deployment resources job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetUnassignDeploymentResourcesStatusAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetUnassignDeploymentResourcesStatusAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetUnassignDeploymentResourcesStatusAsync(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetUnassignDeploymentResourcesStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetUnassignDeploymentResourcesStatusRequest(projectName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status of an existing unassign deployment resources job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetUnassignDeploymentResourcesStatus(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetUnassignDeploymentResourcesStatus(string,string,RequestContext)']/*" />
+        public virtual Response GetUnassignDeploymentResourcesStatus(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetUnassignDeploymentResourcesStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetUnassignDeploymentResourcesStatusRequest(projectName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status for a training job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingStatusAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetTrainingStatusResponse>> GetTrainingStatusAsync(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetTrainingStatusAsync(projectName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetTrainingStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status for a training job. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingStatus(string,string,CancellationToken)']/*" />
+        public virtual Response<GetTrainingStatusResponse> GetTrainingStatus(string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetTrainingStatus(projectName, jobId, context);
+            return Response.FromValue(GetTrainingStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for a training job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainingStatusAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingStatusAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetTrainingStatusAsync(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetTrainingStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetTrainingStatusRequest(projectName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for a training job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainingStatus(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingStatus(string,string,RequestContext)']/*" />
+        public virtual Response GetTrainingStatus(string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetTrainingStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetTrainingStatusRequest(projectName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status for a project deletion job. </summary>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjectDeletionStatusAsync(string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetProjectDeletionStatusResponse>> GetProjectDeletionStatusAsync(string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetProjectDeletionStatusAsync(jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetProjectDeletionStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status for a project deletion job. </summary>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjectDeletionStatus(string,CancellationToken)']/*" />
+        public virtual Response<GetProjectDeletionStatusResponse> GetProjectDeletionStatus(string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetProjectDeletionStatus(jobId, context);
+            return Response.FromValue(GetProjectDeletionStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for a project deletion job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetProjectDeletionStatusAsync(string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjectDeletionStatusAsync(string,RequestContext)']/*" />
+        public virtual async Task<Response> GetProjectDeletionStatusAsync(string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetProjectDeletionStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetProjectDeletionStatusRequest(jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for a project deletion job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetProjectDeletionStatus(string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjectDeletionStatus(string,RequestContext)']/*" />
+        public virtual Response GetProjectDeletionStatus(string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetProjectDeletionStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetProjectDeletionStatusRequest(jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// Lists the deployments to which an Azure resource is assigned. This doesn't
+        /// return deployments belonging to projects owned by this resource. It only
+        /// returns deployments belonging to projects owned by other resources.
+        /// </summary>
+        /// <param name="top"> The maximum number of resources to return from the collection. </param>
+        /// <param name="skip"> An offset into the collection of the first resource to be returned. </param>
+        /// <param name="maxpagesize"> The maximum number of resources to include in a single response. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetAssignedResourceDeploymentsAsync(int?,int?,int?,CancellationToken)']/*" />
+        public virtual async Task<Response<AssignedResourceDeploymentsMetadata>> GetAssignedResourceDeploymentsAsync(int? top = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetAssignedResourceDeploymentsAsync(top, skip, maxpagesize, context).ConfigureAwait(false);
+            return Response.FromValue(AssignedResourceDeploymentsMetadata.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// Lists the deployments to which an Azure resource is assigned. This doesn't
+        /// return deployments belonging to projects owned by this resource. It only
+        /// returns deployments belonging to projects owned by other resources.
+        /// </summary>
+        /// <param name="top"> The maximum number of resources to return from the collection. </param>
+        /// <param name="skip"> An offset into the collection of the first resource to be returned. </param>
+        /// <param name="maxpagesize"> The maximum number of resources to include in a single response. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetAssignedResourceDeployments(int?,int?,int?,CancellationToken)']/*" />
+        public virtual Response<AssignedResourceDeploymentsMetadata> GetAssignedResourceDeployments(int? top = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetAssignedResourceDeployments(top, skip, maxpagesize, context);
+            return Response.FromValue(AssignedResourceDeploymentsMetadata.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the deployments to which an Azure resource is assigned. This doesn't
+        /// return deployments belonging to projects owned by this resource. It only
+        /// returns deployments belonging to projects owned by other resources.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetAssignedResourceDeploymentsAsync(int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="top"> The maximum number of resources to return from the collection. </param>
+        /// <param name="skip"> An offset into the collection of the first resource to be returned. </param>
+        /// <param name="maxpagesize"> The maximum number of resources to include in a single response. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetAssignedResourceDeploymentsAsync(int?,int?,int?,RequestContext)']/*" />
+        public virtual async Task<Response> GetAssignedResourceDeploymentsAsync(int? top, int? skip, int? maxpagesize, RequestContext context)
+        {
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetAssignedResourceDeployments");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetAssignedResourceDeploymentsRequest(top, skip, maxpagesize, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the deployments to which an Azure resource is assigned. This doesn't
+        /// return deployments belonging to projects owned by this resource. It only
+        /// returns deployments belonging to projects owned by other resources.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetAssignedResourceDeployments(int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="top"> The maximum number of resources to return from the collection. </param>
+        /// <param name="skip"> An offset into the collection of the first resource to be returned. </param>
+        /// <param name="maxpagesize"> The maximum number of resources to include in a single response. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetAssignedResourceDeployments(int?,int?,int?,RequestContext)']/*" />
+        public virtual Response GetAssignedResourceDeployments(int? top, int? skip, int? maxpagesize, RequestContext context)
+        {
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetAssignedResourceDeployments");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetAssignedResourceDeploymentsRequest(top, skip, maxpagesize, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Lists the supported languages for the given project type. </summary>
+        /// <param name="projectKind"> The project kind. </param>
+        /// <param name="top"> The maximum number of resources to return from the collection. </param>
+        /// <param name="skip"> An offset into the collection of the first resource to be returned. </param>
+        /// <param name="maxpagesize"> The maximum number of resources to include in a single response. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetSupportedLanguagesAsync(ProjectKind,int?,int?,int?,CancellationToken)']/*" />
+        public virtual async Task<Response<SupportedLanguages>> GetSupportedLanguagesAsync(ProjectKind projectKind, int? top = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetSupportedLanguagesAsync(projectKind.ToString(), top, skip, maxpagesize, context).ConfigureAwait(false);
+            return Response.FromValue(SupportedLanguages.FromResponse(response), response);
+        }
+
+        /// <summary> Lists the supported languages for the given project type. </summary>
+        /// <param name="projectKind"> The project kind. </param>
+        /// <param name="top"> The maximum number of resources to return from the collection. </param>
+        /// <param name="skip"> An offset into the collection of the first resource to be returned. </param>
+        /// <param name="maxpagesize"> The maximum number of resources to include in a single response. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetSupportedLanguages(ProjectKind,int?,int?,int?,CancellationToken)']/*" />
+        public virtual Response<SupportedLanguages> GetSupportedLanguages(ProjectKind projectKind, int? top = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetSupportedLanguages(projectKind.ToString(), top, skip, maxpagesize, context);
+            return Response.FromValue(SupportedLanguages.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the supported languages for the given project type.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetSupportedLanguagesAsync(ProjectKind,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectKind"> The project kind. Allowed values: "Conversation" | "Orchestration" | "CustomConversationSummarization". </param>
+        /// <param name="top"> The maximum number of resources to return from the collection. </param>
+        /// <param name="skip"> An offset into the collection of the first resource to be returned. </param>
+        /// <param name="maxpagesize"> The maximum number of resources to include in a single response. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectKind"/> is null. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetSupportedLanguagesAsync(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual async Task<Response> GetSupportedLanguagesAsync(string projectKind, int? top = null, int? skip = null, int? maxpagesize = null, RequestContext context = null)
+        {
+            Argument.AssertNotNull(projectKind, nameof(projectKind));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetSupportedLanguages");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetSupportedLanguagesRequest(projectKind, top, skip, maxpagesize, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the supported languages for the given project type.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetSupportedLanguages(ProjectKind,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectKind"> The project kind. Allowed values: "Conversation" | "Orchestration" | "CustomConversationSummarization". </param>
+        /// <param name="top"> The maximum number of resources to return from the collection. </param>
+        /// <param name="skip"> An offset into the collection of the first resource to be returned. </param>
+        /// <param name="maxpagesize"> The maximum number of resources to include in a single response. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectKind"/> is null. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetSupportedLanguages(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual Response GetSupportedLanguages(string projectKind, int? top = null, int? skip = null, int? maxpagesize = null, RequestContext context = null)
+        {
+            Argument.AssertNotNull(projectKind, nameof(projectKind));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetSupportedLanguages");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetSupportedLanguagesRequest(projectKind, top, skip, maxpagesize, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// Lists the supported prebuilt entities that can be used while creating composed
+        /// entities.
+        /// </summary>
+        /// <param name="language">
+        /// The language to get supported prebuilt entities for. Required if multilingual
+        /// is false. This is BCP-47 representation of a language. For example, use "en"
+        /// for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <param name="multilingual">
+        /// Whether to get the support prebuilt entities for multilingual or monolingual
+        /// projects. If true, the language parameter is ignored.
+        /// </param>
+        /// <param name="top"> The maximum number of resources to return from the collection. </param>
+        /// <param name="skip"> An offset into the collection of the first resource to be returned. </param>
+        /// <param name="maxpagesize"> The maximum number of resources to include in a single response. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetSupportedPrebuiltEntitiesAsync(string,string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual async Task<Response<PrebuiltEntities>> GetSupportedPrebuiltEntitiesAsync(string language = null, string multilingual = null, int? top = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetSupportedPrebuiltEntitiesAsync(language, multilingual, top, skip, maxpagesize, context).ConfigureAwait(false);
+            return Response.FromValue(PrebuiltEntities.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// Lists the supported prebuilt entities that can be used while creating composed
+        /// entities.
+        /// </summary>
+        /// <param name="language">
+        /// The language to get supported prebuilt entities for. Required if multilingual
+        /// is false. This is BCP-47 representation of a language. For example, use "en"
+        /// for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <param name="multilingual">
+        /// Whether to get the support prebuilt entities for multilingual or monolingual
+        /// projects. If true, the language parameter is ignored.
+        /// </param>
+        /// <param name="top"> The maximum number of resources to return from the collection. </param>
+        /// <param name="skip"> An offset into the collection of the first resource to be returned. </param>
+        /// <param name="maxpagesize"> The maximum number of resources to include in a single response. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetSupportedPrebuiltEntities(string,string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual Response<PrebuiltEntities> GetSupportedPrebuiltEntities(string language = null, string multilingual = null, int? top = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetSupportedPrebuiltEntities(language, multilingual, top, skip, maxpagesize, context);
+            return Response.FromValue(PrebuiltEntities.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the supported prebuilt entities that can be used while creating composed
+        /// entities.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetSupportedPrebuiltEntitiesAsync(string,string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="language">
+        /// The language to get supported prebuilt entities for. Required if multilingual
+        /// is false. This is BCP-47 representation of a language. For example, use "en"
+        /// for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <param name="multilingual">
+        /// Whether to get the support prebuilt entities for multilingual or monolingual
+        /// projects. If true, the language parameter is ignored.
+        /// </param>
+        /// <param name="top"> The maximum number of resources to return from the collection. </param>
+        /// <param name="skip"> An offset into the collection of the first resource to be returned. </param>
+        /// <param name="maxpagesize"> The maximum number of resources to include in a single response. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetSupportedPrebuiltEntitiesAsync(string,string,int?,int?,int?,RequestContext)']/*" />
+        public virtual async Task<Response> GetSupportedPrebuiltEntitiesAsync(string language, string multilingual, int? top, int? skip, int? maxpagesize, RequestContext context)
+        {
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetSupportedPrebuiltEntities");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetSupportedPrebuiltEntitiesRequest(language, multilingual, top, skip, maxpagesize, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the supported prebuilt entities that can be used while creating composed
+        /// entities.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetSupportedPrebuiltEntities(string,string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="language">
+        /// The language to get supported prebuilt entities for. Required if multilingual
+        /// is false. This is BCP-47 representation of a language. For example, use "en"
+        /// for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <param name="multilingual">
+        /// Whether to get the support prebuilt entities for multilingual or monolingual
+        /// projects. If true, the language parameter is ignored.
+        /// </param>
+        /// <param name="top"> The maximum number of resources to return from the collection. </param>
+        /// <param name="skip"> An offset into the collection of the first resource to be returned. </param>
+        /// <param name="maxpagesize"> The maximum number of resources to include in a single response. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetSupportedPrebuiltEntities(string,string,int?,int?,int?,RequestContext)']/*" />
+        public virtual Response GetSupportedPrebuiltEntities(string language, string multilingual, int? top, int? skip, int? maxpagesize, RequestContext context)
+        {
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetSupportedPrebuiltEntities");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetSupportedPrebuiltEntitiesRequest(language, multilingual, top, skip, maxpagesize, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Lists the support training config version for a given project type. </summary>
+        /// <param name="projectKind"> The project kind. </param>
+        /// <param name="top"> The maximum number of resources to return from the collection. </param>
+        /// <param name="skip"> An offset into the collection of the first resource to be returned. </param>
+        /// <param name="maxpagesize"> The maximum number of resources to include in a single response. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingConfigVersionsAsync(ProjectKind,int?,int?,int?,CancellationToken)']/*" />
+        public virtual async Task<Response<TrainingConfigVersions>> GetTrainingConfigVersionsAsync(ProjectKind projectKind, int? top = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetTrainingConfigVersionsAsync(projectKind.ToString(), top, skip, maxpagesize, context).ConfigureAwait(false);
+            return Response.FromValue(TrainingConfigVersions.FromResponse(response), response);
+        }
+
+        /// <summary> Lists the support training config version for a given project type. </summary>
+        /// <param name="projectKind"> The project kind. </param>
+        /// <param name="top"> The maximum number of resources to return from the collection. </param>
+        /// <param name="skip"> An offset into the collection of the first resource to be returned. </param>
+        /// <param name="maxpagesize"> The maximum number of resources to include in a single response. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingConfigVersions(ProjectKind,int?,int?,int?,CancellationToken)']/*" />
+        public virtual Response<TrainingConfigVersions> GetTrainingConfigVersions(ProjectKind projectKind, int? top = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetTrainingConfigVersions(projectKind.ToString(), top, skip, maxpagesize, context);
+            return Response.FromValue(TrainingConfigVersions.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the support training config version for a given project type.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainingConfigVersionsAsync(ProjectKind,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectKind"> The project kind. Allowed values: "Conversation" | "Orchestration" | "CustomConversationSummarization". </param>
+        /// <param name="top"> The maximum number of resources to return from the collection. </param>
+        /// <param name="skip"> An offset into the collection of the first resource to be returned. </param>
+        /// <param name="maxpagesize"> The maximum number of resources to include in a single response. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectKind"/> is null. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingConfigVersionsAsync(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual async Task<Response> GetTrainingConfigVersionsAsync(string projectKind, int? top = null, int? skip = null, int? maxpagesize = null, RequestContext context = null)
+        {
+            Argument.AssertNotNull(projectKind, nameof(projectKind));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetTrainingConfigVersions");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetTrainingConfigVersionsRequest(projectKind, top, skip, maxpagesize, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the support training config version for a given project type.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainingConfigVersions(ProjectKind,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectKind"> The project kind. Allowed values: "Conversation" | "Orchestration" | "CustomConversationSummarization". </param>
+        /// <param name="top"> The maximum number of resources to return from the collection. </param>
+        /// <param name="skip"> An offset into the collection of the first resource to be returned. </param>
+        /// <param name="maxpagesize"> The maximum number of resources to include in a single response. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectKind"/> is null. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingConfigVersions(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual Response GetTrainingConfigVersions(string projectKind, int? top = null, int? skip = null, int? maxpagesize = null, RequestContext context = null)
+        {
+            Argument.AssertNotNull(projectKind, nameof(projectKind));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetTrainingConfigVersions");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetTrainingConfigVersionsRequest(projectKind, top, skip, maxpagesize, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the details of an exported model. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelAsync(string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetExportedModelResponse>> GetExportedModelAsync(string projectName, string exportedModelName, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetExportedModelAsync(projectName, exportedModelName, context).ConfigureAwait(false);
+            return Response.FromValue(GetExportedModelResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the details of an exported model. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModel(string,string,CancellationToken)']/*" />
+        public virtual Response<GetExportedModelResponse> GetExportedModel(string projectName, string exportedModelName, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetExportedModel(projectName, exportedModelName, context);
+            return Response.FromValue(GetExportedModelResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details of an exported model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportedModelAsync(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelAsync(string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetExportedModelAsync(string projectName, string exportedModelName, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetExportedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetExportedModelRequest(projectName, exportedModelName, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the details of an exported model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportedModel(string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModel(string,string,RequestContext)']/*" />
+        public virtual Response GetExportedModel(string projectName, string exportedModelName, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetExportedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetExportedModelRequest(projectName, exportedModelName, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Gets the status for an existing job to create or update an exported model. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelJobStatusAsync(string,string,string,CancellationToken)']/*" />
+        public virtual async Task<Response<GetExportedModelJobStatusResponse>> GetExportedModelJobStatusAsync(string projectName, string exportedModelName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = await GetExportedModelJobStatusAsync(projectName, exportedModelName, jobId, context).ConfigureAwait(false);
+            return Response.FromValue(GetExportedModelJobStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary> Gets the status for an existing job to create or update an exported model. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelJobStatus(string,string,string,CancellationToken)']/*" />
+        public virtual Response<GetExportedModelJobStatusResponse> GetExportedModelJobStatus(string projectName, string exportedModelName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Response response = GetExportedModelJobStatus(projectName, exportedModelName, jobId, context);
+            return Response.FromValue(GetExportedModelJobStatusResponse.FromResponse(response), response);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for an existing job to create or update an exported model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportedModelJobStatusAsync(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelJobStatusAsync(string,string,string,RequestContext)']/*" />
+        public virtual async Task<Response> GetExportedModelJobStatusAsync(string projectName, string exportedModelName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetExportedModelJobStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetExportedModelJobStatusRequest(projectName, exportedModelName, jobId, context);
+                return await _pipeline.ProcessMessageAsync(message, context).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the status for an existing job to create or update an exported model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportedModelJobStatus(string,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The response returned from the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelJobStatus(string,string,string,RequestContext)']/*" />
+        public virtual Response GetExportedModelJobStatus(string projectName, string exportedModelName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.GetExportedModelJobStatus");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateGetExportedModelJobStatusRequest(projectName, exportedModelName, jobId, context);
+                return _pipeline.ProcessMessage(message, context);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Lists the existing projects. </summary>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjectsAsync(int?,int?,int?,CancellationToken)']/*" />
+        public virtual AsyncPageable<ProjectMetadata> GetProjectsAsync(int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetProjectsRequest(maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetProjectsNextPageRequest(nextLink, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => ProjectMetadata.DeserializeProjectMetadata(e), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetProjects", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the existing projects. </summary>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjects(int?,int?,int?,CancellationToken)']/*" />
+        public virtual Pageable<ProjectMetadata> GetProjects(int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetProjectsRequest(maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetProjectsNextPageRequest(nextLink, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => ProjectMetadata.DeserializeProjectMetadata(e), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetProjects", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the existing projects.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetProjectsAsync(int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjectsAsync(int?,int?,int?,RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetProjectsAsync(int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetProjectsRequest(maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetProjectsNextPageRequest(nextLink, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetProjects", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the existing projects.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetProjects(int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetProjects(int?,int?,int?,RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetProjects(int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetProjectsRequest(maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetProjectsNextPageRequest(nextLink, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetProjects", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the deployments belonging to a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentsAsync(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual AsyncPageable<ProjectDeployment> GetDeploymentsAsync(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetDeploymentsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetDeploymentsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => ProjectDeployment.DeserializeProjectDeployment(e), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetDeployments", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the deployments belonging to a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeployments(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual Pageable<ProjectDeployment> GetDeployments(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetDeploymentsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetDeploymentsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => ProjectDeployment.DeserializeProjectDeployment(e), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetDeployments", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the deployments belonging to a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeploymentsAsync(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentsAsync(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetDeploymentsAsync(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetDeploymentsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetDeploymentsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetDeployments", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the deployments belonging to a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeployments(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeployments(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetDeployments(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetDeploymentsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetDeploymentsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetDeployments", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the trained models belonging to a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainedModelsAsync(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual AsyncPageable<ProjectTrainedModel> GetTrainedModelsAsync(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainedModelsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainedModelsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => ProjectTrainedModel.DeserializeProjectTrainedModel(e), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetTrainedModels", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the trained models belonging to a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainedModels(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual Pageable<ProjectTrainedModel> GetTrainedModels(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainedModelsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainedModelsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => ProjectTrainedModel.DeserializeProjectTrainedModel(e), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetTrainedModels", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the trained models belonging to a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainedModelsAsync(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainedModelsAsync(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetTrainedModelsAsync(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainedModelsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainedModelsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetTrainedModels", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the trained models belonging to a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainedModels(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainedModels(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetTrainedModels(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainedModelsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainedModelsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetTrainedModels", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// Gets the detailed results of the evaluation for a trained model. This includes
+        /// the raw inference results for the data included in the evaluation process.
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets.
+        /// </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetModelEvaluationResultsAsync(string,string,StringIndexType,int?,int?,int?,CancellationToken)']/*" />
+        public virtual AsyncPageable<UtteranceEvaluationResult> GetModelEvaluationResultsAsync(string projectName, string trainedModelLabel, StringIndexType stringIndexType, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetModelEvaluationResultsRequest(projectName, trainedModelLabel, stringIndexType.ToString(), maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetModelEvaluationResultsNextPageRequest(nextLink, projectName, trainedModelLabel, stringIndexType.ToString(), maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => UtteranceEvaluationResult.DeserializeUtteranceEvaluationResult(e), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetModelEvaluationResults", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// Gets the detailed results of the evaluation for a trained model. This includes
+        /// the raw inference results for the data included in the evaluation process.
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets.
+        /// </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetModelEvaluationResults(string,string,StringIndexType,int?,int?,int?,CancellationToken)']/*" />
+        public virtual Pageable<UtteranceEvaluationResult> GetModelEvaluationResults(string projectName, string trainedModelLabel, StringIndexType stringIndexType, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetModelEvaluationResultsRequest(projectName, trainedModelLabel, stringIndexType.ToString(), maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetModelEvaluationResultsNextPageRequest(nextLink, projectName, trainedModelLabel, stringIndexType.ToString(), maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => UtteranceEvaluationResult.DeserializeUtteranceEvaluationResult(e), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetModelEvaluationResults", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the detailed results of the evaluation for a trained model. This includes
+        /// the raw inference results for the data included in the evaluation process.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetModelEvaluationResultsAsync(string,string,StringIndexType,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets. Allowed values: "Utf16CodeUnit"
+        /// </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="stringIndexType"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetModelEvaluationResultsAsync(string,string,string,int?,int?,int?,RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetModelEvaluationResultsAsync(string projectName, string trainedModelLabel, string stringIndexType, int? maxCount = null, int? skip = null, int? maxpagesize = null, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNull(stringIndexType, nameof(stringIndexType));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetModelEvaluationResultsRequest(projectName, trainedModelLabel, stringIndexType, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetModelEvaluationResultsNextPageRequest(nextLink, projectName, trainedModelLabel, stringIndexType, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetModelEvaluationResults", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Gets the detailed results of the evaluation for a trained model. This includes
+        /// the raw inference results for the data included in the evaluation process.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetModelEvaluationResults(string,string,StringIndexType,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets. Allowed values: "Utf16CodeUnit"
+        /// </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="stringIndexType"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetModelEvaluationResults(string,string,string,int?,int?,int?,RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetModelEvaluationResults(string projectName, string trainedModelLabel, string stringIndexType, int? maxCount = null, int? skip = null, int? maxpagesize = null, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNull(stringIndexType, nameof(stringIndexType));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetModelEvaluationResultsRequest(projectName, trainedModelLabel, stringIndexType, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetModelEvaluationResultsNextPageRequest(nextLink, projectName, trainedModelLabel, stringIndexType, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetModelEvaluationResults", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the deployments resources assigned to the project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentResourcesAsync(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual AsyncPageable<AssignedDeploymentResource> GetDeploymentResourcesAsync(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetDeploymentResourcesRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetDeploymentResourcesNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => AssignedDeploymentResource.DeserializeAssignedDeploymentResource(e), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetDeploymentResources", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the deployments resources assigned to the project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentResources(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual Pageable<AssignedDeploymentResource> GetDeploymentResources(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetDeploymentResourcesRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetDeploymentResourcesNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => AssignedDeploymentResource.DeserializeAssignedDeploymentResource(e), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetDeploymentResources", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the deployments resources assigned to the project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeploymentResourcesAsync(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentResourcesAsync(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetDeploymentResourcesAsync(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetDeploymentResourcesRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetDeploymentResourcesNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetDeploymentResources", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the deployments resources assigned to the project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetDeploymentResources(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetDeploymentResources(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetDeploymentResources(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetDeploymentResourcesRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetDeploymentResourcesNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetDeploymentResources", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the non-expired training jobs created for a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingJobsAsync(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual AsyncPageable<TrainingJobState> GetTrainingJobsAsync(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainingJobsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainingJobsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => TrainingJobState.DeserializeTrainingJobState(e), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetTrainingJobs", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the non-expired training jobs created for a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingJobs(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual Pageable<TrainingJobState> GetTrainingJobs(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainingJobsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainingJobsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => TrainingJobState.DeserializeTrainingJobState(e), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetTrainingJobs", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the non-expired training jobs created for a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainingJobsAsync(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingJobsAsync(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetTrainingJobsAsync(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainingJobsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainingJobsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetTrainingJobs", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the non-expired training jobs created for a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetTrainingJobs(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetTrainingJobs(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetTrainingJobs(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetTrainingJobsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetTrainingJobsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetTrainingJobs", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the exported models belonging to a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelsAsync(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual AsyncPageable<ExportedTrainedModel> GetExportedModelsAsync(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetExportedModelsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetExportedModelsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => ExportedTrainedModel.DeserializeExportedTrainedModel(e), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetExportedModels", "value", "nextLink", context);
+        }
+
+        /// <summary> Lists the exported models belonging to a project. </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModels(string,int?,int?,int?,CancellationToken)']/*" />
+        public virtual Pageable<ExportedTrainedModel> GetExportedModels(string projectName, int? maxCount = null, int? skip = null, int? maxpagesize = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = cancellationToken.CanBeCanceled ? new RequestContext { CancellationToken = cancellationToken } : null;
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetExportedModelsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetExportedModelsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => ExportedTrainedModel.DeserializeExportedTrainedModel(e), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetExportedModels", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the exported models belonging to a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportedModelsAsync(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="AsyncPageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModelsAsync(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual AsyncPageable<BinaryData> GetExportedModelsAsync(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetExportedModelsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetExportedModelsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreateAsyncPageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetExportedModels", "value", "nextLink", context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Lists the exported models belonging to a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="GetExportedModels(string,int?,int?,int?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="maxCount"> The number of result items to return. </param>
+        /// <param name="skip"> The number of result items to skip. </param>
+        /// <param name="maxpagesize"> The maximum number of result items per page. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Pageable{T}"/> from the service containing a list of <see cref="BinaryData"/> objects. Details of the body schema for each item in the collection are in the Remarks section below. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='GetExportedModels(string,int?,int?,int?,RequestContext)']/*" />
+        public virtual Pageable<BinaryData> GetExportedModels(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            HttpMessage FirstPageRequest(int? pageSizeHint) => CreateGetExportedModelsRequest(projectName, maxCount, skip, maxpagesize, context);
+            HttpMessage NextPageRequest(int? pageSizeHint, string nextLink) => CreateGetExportedModelsNextPageRequest(nextLink, projectName, maxCount, skip, maxpagesize, context);
+            return GeneratorPageableHelpers.CreatePageable(FirstPageRequest, NextPageRequest, e => BinaryData.FromString(e.GetRawText()), ClientDiagnostics, _pipeline, "ConversationalAnalysisAuthoring.GetExportedModels", "value", "nextLink", context);
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Deletes a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteProjectAsync(WaitUntil,string,RequestContext)']/*" />
+        public virtual async Task<Operation> DeleteProjectAsync(WaitUntil waitUntil, string projectName, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.DeleteProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteProjectRequest(projectName, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.DeleteProject", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Deletes a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteProject(WaitUntil,string,RequestContext)']/*" />
+        public virtual Operation DeleteProject(WaitUntil waitUntil, string projectName, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.DeleteProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteProjectRequest(projectName, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.DeleteProject", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Copies an existing project to another Azure resource. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The copy project info. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CopyProjectAsync(WaitUntil,string,CopyProjectConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation> CopyProjectAsync(WaitUntil waitUntil, string projectName, CopyProjectConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await CopyProjectAsync(waitUntil, projectName, content, context).ConfigureAwait(false);
+        }
+
+        /// <summary> Copies an existing project to another Azure resource. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The copy project info. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CopyProject(WaitUntil,string,CopyProjectConfig,CancellationToken)']/*" />
+        public virtual Operation CopyProject(WaitUntil waitUntil, string projectName, CopyProjectConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return CopyProject(waitUntil, projectName, content, context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Copies an existing project to another Azure resource.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="CopyProjectAsync(WaitUntil,string,CopyProjectConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CopyProjectAsync(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation> CopyProjectAsync(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.CopyProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCopyProjectRequest(projectName, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.CopyProject", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Copies an existing project to another Azure resource.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="CopyProject(WaitUntil,string,CopyProjectConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CopyProject(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation CopyProject(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.CopyProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCopyProjectRequest(projectName, content, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.CopyProject", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Triggers a job to export a project's data. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets.
+        /// </param>
+        /// <param name="exportedProjectFormat"> The format of the exported project file to use. </param>
+        /// <param name="assetKind"> Kind of asset to export. </param>
+        /// <param name="trainedModelLabel"> Trained model label to export. If the trainedModelLabel is null, the default behavior is to export the current working copy. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='ExportAsync(WaitUntil,string,StringIndexType,ExportedProjectFormat?,string,string,CancellationToken)']/*" />
+        public virtual async Task<Operation> ExportAsync(WaitUntil waitUntil, string projectName, StringIndexType stringIndexType, ExportedProjectFormat? exportedProjectFormat = null, string assetKind = null, string trainedModelLabel = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await ExportAsync(waitUntil, projectName, stringIndexType.ToString(), exportedProjectFormat?.ToString(), assetKind, trainedModelLabel, context).ConfigureAwait(false);
+        }
+
+        /// <summary> Triggers a job to export a project's data. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets.
+        /// </param>
+        /// <param name="exportedProjectFormat"> The format of the exported project file to use. </param>
+        /// <param name="assetKind"> Kind of asset to export. </param>
+        /// <param name="trainedModelLabel"> Trained model label to export. If the trainedModelLabel is null, the default behavior is to export the current working copy. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='Export(WaitUntil,string,StringIndexType,ExportedProjectFormat?,string,string,CancellationToken)']/*" />
+        public virtual Operation Export(WaitUntil waitUntil, string projectName, StringIndexType stringIndexType, ExportedProjectFormat? exportedProjectFormat = null, string assetKind = null, string trainedModelLabel = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return Export(waitUntil, projectName, stringIndexType.ToString(), exportedProjectFormat?.ToString(), assetKind, trainedModelLabel, context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers a job to export a project's data.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="ExportAsync(WaitUntil,string,StringIndexType,ExportedProjectFormat?,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets. Allowed values: "Utf16CodeUnit"
+        /// </param>
+        /// <param name="exportedProjectFormat"> The format of the exported project file to use. Allowed values: "Conversation" | "Luis". </param>
+        /// <param name="assetKind"> Kind of asset to export. </param>
+        /// <param name="trainedModelLabel"> Trained model label to export. If the trainedModelLabel is null, the default behavior is to export the current working copy. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="stringIndexType"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='ExportAsync(WaitUntil,string,string,string,string,string,RequestContext)']/*" />
+        public virtual async Task<Operation> ExportAsync(WaitUntil waitUntil, string projectName, string stringIndexType, string exportedProjectFormat = null, string assetKind = null, string trainedModelLabel = null, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(stringIndexType, nameof(stringIndexType));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.Export");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateExportRequest(projectName, stringIndexType, exportedProjectFormat, assetKind, trainedModelLabel, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.Export", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers a job to export a project's data.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="Export(WaitUntil,string,StringIndexType,ExportedProjectFormat?,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets. Allowed values: "Utf16CodeUnit"
+        /// </param>
+        /// <param name="exportedProjectFormat"> The format of the exported project file to use. Allowed values: "Conversation" | "Luis". </param>
+        /// <param name="assetKind"> Kind of asset to export. </param>
+        /// <param name="trainedModelLabel"> Trained model label to export. If the trainedModelLabel is null, the default behavior is to export the current working copy. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="stringIndexType"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='Export(WaitUntil,string,string,string,string,string,RequestContext)']/*" />
+        public virtual Operation Export(WaitUntil waitUntil, string projectName, string stringIndexType, string exportedProjectFormat = null, string assetKind = null, string trainedModelLabel = null, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(stringIndexType, nameof(stringIndexType));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.Export");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateExportRequest(projectName, stringIndexType, exportedProjectFormat, assetKind, trainedModelLabel, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.Export", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// Triggers a job to import a project. If a project with the same name already
+        /// exists, the data of that project is replaced.
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The project data to import. </param>
+        /// <param name="exportedProjectFormat"> The format of the exported project file to use. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='ImportAsync(WaitUntil,string,ExportedProject,ExportedProjectFormat?,CancellationToken)']/*" />
+        public virtual async Task<Operation> ImportAsync(WaitUntil waitUntil, string projectName, ExportedProject body, ExportedProjectFormat? exportedProjectFormat = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await ImportAsync(waitUntil, projectName, content, exportedProjectFormat?.ToString(), context).ConfigureAwait(false);
+        }
+
+        /// <summary>
+        /// Triggers a job to import a project. If a project with the same name already
+        /// exists, the data of that project is replaced.
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The project data to import. </param>
+        /// <param name="exportedProjectFormat"> The format of the exported project file to use. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='Import(WaitUntil,string,ExportedProject,ExportedProjectFormat?,CancellationToken)']/*" />
+        public virtual Operation Import(WaitUntil waitUntil, string projectName, ExportedProject body, ExportedProjectFormat? exportedProjectFormat = null, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return Import(waitUntil, projectName, content, exportedProjectFormat?.ToString(), context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers a job to import a project. If a project with the same name already
+        /// exists, the data of that project is replaced.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="ImportAsync(WaitUntil,string,ExportedProject,ExportedProjectFormat?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="exportedProjectFormat"> The format of the exported project file to use. Allowed values: "Conversation" | "Luis". </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='ImportAsync(WaitUntil,string,RequestContent,string,RequestContext)']/*" />
+        public virtual async Task<Operation> ImportAsync(WaitUntil waitUntil, string projectName, RequestContent content, string exportedProjectFormat = null, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.Import");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateImportRequest(projectName, content, exportedProjectFormat, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.Import", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers a job to import a project. If a project with the same name already
+        /// exists, the data of that project is replaced.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="Import(WaitUntil,string,ExportedProject,ExportedProjectFormat?,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="exportedProjectFormat"> The format of the exported project file to use. Allowed values: "Conversation" | "Luis". </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='Import(WaitUntil,string,RequestContent,string,RequestContext)']/*" />
+        public virtual Operation Import(WaitUntil waitUntil, string projectName, RequestContent content, string exportedProjectFormat = null, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.Import");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateImportRequest(projectName, content, exportedProjectFormat, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.Import", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Triggers a training job for a project. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The training input parameters. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='TrainAsync(WaitUntil,string,TrainingJobConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation<TrainingJobResult>> TrainAsync(WaitUntil waitUntil, string projectName, TrainingJobConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Operation<BinaryData> response = await TrainAsync(waitUntil, projectName, content, context).ConfigureAwait(false);
+            return ProtocolOperationHelpers.Convert(response, FetchTrainingJobResultFromTrainingJobState, ClientDiagnostics, "ConversationalAnalysisAuthoring.Train");
+        }
+
+        /// <summary> Triggers a training job for a project. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The training input parameters. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='Train(WaitUntil,string,TrainingJobConfig,CancellationToken)']/*" />
+        public virtual Operation<TrainingJobResult> Train(WaitUntil waitUntil, string projectName, TrainingJobConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Operation<BinaryData> response = Train(waitUntil, projectName, content, context);
+            return ProtocolOperationHelpers.Convert(response, FetchTrainingJobResultFromTrainingJobState, ClientDiagnostics, "ConversationalAnalysisAuthoring.Train");
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers a training job for a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="TrainAsync(WaitUntil,string,TrainingJobConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='TrainAsync(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation<BinaryData>> TrainAsync(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.Train");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateTrainRequest(projectName, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageAsync(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.Train", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers a training job for a project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="Train(WaitUntil,string,TrainingJobConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='Train(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation<BinaryData> Train(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.Train");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateTrainRequest(projectName, content, context);
+                return ProtocolOperationHelpers.ProcessMessage(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.Train", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Swaps two existing deployments with each other. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The job object to swap two deployments. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='SwapDeploymentsAsync(WaitUntil,string,SwapDeploymentsConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation> SwapDeploymentsAsync(WaitUntil waitUntil, string projectName, SwapDeploymentsConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await SwapDeploymentsAsync(waitUntil, projectName, content, context).ConfigureAwait(false);
+        }
+
+        /// <summary> Swaps two existing deployments with each other. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The job object to swap two deployments. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='SwapDeployments(WaitUntil,string,SwapDeploymentsConfig,CancellationToken)']/*" />
+        public virtual Operation SwapDeployments(WaitUntil waitUntil, string projectName, SwapDeploymentsConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return SwapDeployments(waitUntil, projectName, content, context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Swaps two existing deployments with each other.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="SwapDeploymentsAsync(WaitUntil,string,SwapDeploymentsConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='SwapDeploymentsAsync(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation> SwapDeploymentsAsync(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.SwapDeployments");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateSwapDeploymentsRequest(projectName, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.SwapDeployments", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Swaps two existing deployments with each other.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="SwapDeployments(WaitUntil,string,SwapDeploymentsConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='SwapDeployments(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation SwapDeployments(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.SwapDeployments");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateSwapDeploymentsRequest(projectName, content, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.SwapDeployments", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Creates a new deployment or replaces an existing one. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="body"> The new deployment info. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='DeployProjectAsync(WaitUntil,string,string,CreateDeploymentConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation> DeployProjectAsync(WaitUntil waitUntil, string projectName, string deploymentName, CreateDeploymentConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await DeployProjectAsync(waitUntil, projectName, deploymentName, content, context).ConfigureAwait(false);
+        }
+
+        /// <summary> Creates a new deployment or replaces an existing one. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="body"> The new deployment info. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='DeployProject(WaitUntil,string,string,CreateDeploymentConfig,CancellationToken)']/*" />
+        public virtual Operation DeployProject(WaitUntil waitUntil, string projectName, string deploymentName, CreateDeploymentConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return DeployProject(waitUntil, projectName, deploymentName, content, context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Creates a new deployment or replaces an existing one.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="DeployProjectAsync(WaitUntil,string,string,CreateDeploymentConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='DeployProjectAsync(WaitUntil,string,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation> DeployProjectAsync(WaitUntil waitUntil, string projectName, string deploymentName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.DeployProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeployProjectRequest(projectName, deploymentName, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.DeployProject", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Creates a new deployment or replaces an existing one.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="DeployProject(WaitUntil,string,string,CreateDeploymentConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='DeployProject(WaitUntil,string,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation DeployProject(WaitUntil waitUntil, string projectName, string deploymentName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.DeployProject");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeployProjectRequest(projectName, deploymentName, content, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.DeployProject", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Deletes a project deployment.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteDeploymentAsync(WaitUntil,string,string,RequestContext)']/*" />
+        public virtual async Task<Operation> DeleteDeploymentAsync(WaitUntil waitUntil, string projectName, string deploymentName, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.DeleteDeployment");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteDeploymentRequest(projectName, deploymentName, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.DeleteDeployment", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Deletes a project deployment.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteDeployment(WaitUntil,string,string,RequestContext)']/*" />
+        public virtual Operation DeleteDeployment(WaitUntil waitUntil, string projectName, string deploymentName, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.DeleteDeployment");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteDeploymentRequest(projectName, deploymentName, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.DeleteDeployment", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Deletes a project deployment from the specified assigned resources. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="body"> The options for deleting the deployment. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteDeploymentFromResourcesAsync(WaitUntil,string,string,DeleteDeploymentConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation> DeleteDeploymentFromResourcesAsync(WaitUntil waitUntil, string projectName, string deploymentName, DeleteDeploymentConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await DeleteDeploymentFromResourcesAsync(waitUntil, projectName, deploymentName, content, context).ConfigureAwait(false);
+        }
+
+        /// <summary> Deletes a project deployment from the specified assigned resources. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="body"> The options for deleting the deployment. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteDeploymentFromResources(WaitUntil,string,string,DeleteDeploymentConfig,CancellationToken)']/*" />
+        public virtual Operation DeleteDeploymentFromResources(WaitUntil waitUntil, string projectName, string deploymentName, DeleteDeploymentConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return DeleteDeploymentFromResources(waitUntil, projectName, deploymentName, content, context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Deletes a project deployment from the specified assigned resources.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="DeleteDeploymentFromResourcesAsync(WaitUntil,string,string,DeleteDeploymentConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteDeploymentFromResourcesAsync(WaitUntil,string,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation> DeleteDeploymentFromResourcesAsync(WaitUntil waitUntil, string projectName, string deploymentName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.DeleteDeploymentFromResources");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteDeploymentFromResourcesRequest(projectName, deploymentName, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.DeleteDeploymentFromResources", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Deletes a project deployment from the specified assigned resources.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="DeleteDeploymentFromResources(WaitUntil,string,string,DeleteDeploymentConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="deploymentName"> The name of the specific deployment of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="deploymentName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteDeploymentFromResources(WaitUntil,string,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation DeleteDeploymentFromResources(WaitUntil waitUntil, string projectName, string deploymentName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.DeleteDeploymentFromResources");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteDeploymentFromResourcesRequest(projectName, deploymentName, content, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.DeleteDeploymentFromResources", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Triggers evaluation operation on a trained model. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="body"> The training input parameters. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='EvaluateModelAsync(WaitUntil,string,string,EvaluationConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation<EvaluationJobResult>> EvaluateModelAsync(WaitUntil waitUntil, string projectName, string trainedModelLabel, EvaluationConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Operation<BinaryData> response = await EvaluateModelAsync(waitUntil, projectName, trainedModelLabel, content, context).ConfigureAwait(false);
+            return ProtocolOperationHelpers.Convert(response, FetchEvaluationJobResultFromEvaluationJobState, ClientDiagnostics, "ConversationalAnalysisAuthoring.EvaluateModel");
+        }
+
+        /// <summary> Triggers evaluation operation on a trained model. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="body"> The training input parameters. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='EvaluateModel(WaitUntil,string,string,EvaluationConfig,CancellationToken)']/*" />
+        public virtual Operation<EvaluationJobResult> EvaluateModel(WaitUntil waitUntil, string projectName, string trainedModelLabel, EvaluationConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Operation<BinaryData> response = EvaluateModel(waitUntil, projectName, trainedModelLabel, content, context);
+            return ProtocolOperationHelpers.Convert(response, FetchEvaluationJobResultFromEvaluationJobState, ClientDiagnostics, "ConversationalAnalysisAuthoring.EvaluateModel");
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers evaluation operation on a trained model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="EvaluateModelAsync(WaitUntil,string,string,EvaluationConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='EvaluateModelAsync(WaitUntil,string,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation<BinaryData>> EvaluateModelAsync(WaitUntil waitUntil, string projectName, string trainedModelLabel, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.EvaluateModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateEvaluateModelRequest(projectName, trainedModelLabel, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageAsync(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.EvaluateModel", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers evaluation operation on a trained model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="EvaluateModel(WaitUntil,string,string,EvaluationConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="trainedModelLabel"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='EvaluateModel(WaitUntil,string,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation<BinaryData> EvaluateModel(WaitUntil waitUntil, string projectName, string trainedModelLabel, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.EvaluateModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateEvaluateModelRequest(projectName, trainedModelLabel, content, context);
+                return ProtocolOperationHelpers.ProcessMessage(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.EvaluateModel", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Restores the snapshot of this trained model to be the current working directory
+        /// of the project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='LoadSnapshotAsync(WaitUntil,string,string,RequestContext)']/*" />
+        public virtual async Task<Operation> LoadSnapshotAsync(WaitUntil waitUntil, string projectName, string trainedModelLabel, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.LoadSnapshot");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateLoadSnapshotRequest(projectName, trainedModelLabel, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.LoadSnapshot", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Restores the snapshot of this trained model to be the current working directory
+        /// of the project.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="trainedModelLabel"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='LoadSnapshot(WaitUntil,string,string,RequestContext)']/*" />
+        public virtual Operation LoadSnapshot(WaitUntil waitUntil, string projectName, string trainedModelLabel, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(trainedModelLabel, nameof(trainedModelLabel));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.LoadSnapshot");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateLoadSnapshotRequest(projectName, trainedModelLabel, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.LoadSnapshot", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// Assign new Azure resources to a project to allow deploying new deployments to
+        /// them. This API is available only via AAD authentication and not supported via
+        /// subscription key authentication. For more details about AAD authentication,
+        /// check here:
+        /// https://learn.microsoft.com/en-us/azure/cognitive-services/authentication?tabs=powershell#authenticate-with-azure-active-directory
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The new project resources info. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='AssignDeploymentResourcesAsync(WaitUntil,string,AssignDeploymentResourcesConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation> AssignDeploymentResourcesAsync(WaitUntil waitUntil, string projectName, AssignDeploymentResourcesConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await AssignDeploymentResourcesAsync(waitUntil, projectName, content, context).ConfigureAwait(false);
+        }
+
+        /// <summary>
+        /// Assign new Azure resources to a project to allow deploying new deployments to
+        /// them. This API is available only via AAD authentication and not supported via
+        /// subscription key authentication. For more details about AAD authentication,
+        /// check here:
+        /// https://learn.microsoft.com/en-us/azure/cognitive-services/authentication?tabs=powershell#authenticate-with-azure-active-directory
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The new project resources info. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='AssignDeploymentResources(WaitUntil,string,AssignDeploymentResourcesConfig,CancellationToken)']/*" />
+        public virtual Operation AssignDeploymentResources(WaitUntil waitUntil, string projectName, AssignDeploymentResourcesConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return AssignDeploymentResources(waitUntil, projectName, content, context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Assign new Azure resources to a project to allow deploying new deployments to
+        /// them. This API is available only via AAD authentication and not supported via
+        /// subscription key authentication. For more details about AAD authentication,
+        /// check here:
+        /// https://learn.microsoft.com/en-us/azure/cognitive-services/authentication?tabs=powershell#authenticate-with-azure-active-directory
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="AssignDeploymentResourcesAsync(WaitUntil,string,AssignDeploymentResourcesConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='AssignDeploymentResourcesAsync(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation> AssignDeploymentResourcesAsync(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.AssignDeploymentResources");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateAssignDeploymentResourcesRequest(projectName, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.AssignDeploymentResources", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Assign new Azure resources to a project to allow deploying new deployments to
+        /// them. This API is available only via AAD authentication and not supported via
+        /// subscription key authentication. For more details about AAD authentication,
+        /// check here:
+        /// https://learn.microsoft.com/en-us/azure/cognitive-services/authentication?tabs=powershell#authenticate-with-azure-active-directory
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="AssignDeploymentResources(WaitUntil,string,AssignDeploymentResourcesConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='AssignDeploymentResources(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation AssignDeploymentResources(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.AssignDeploymentResources");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateAssignDeploymentResourcesRequest(projectName, content, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.AssignDeploymentResources", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// Unassign resources from a project. This disallows deploying new deployments to
+        /// these resources, and deletes existing deployments assigned to them.
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The info for the deployment resources to be deleted. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='UnassignDeploymentResourcesAsync(WaitUntil,string,UnassignDeploymentResourcesConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation> UnassignDeploymentResourcesAsync(WaitUntil waitUntil, string projectName, UnassignDeploymentResourcesConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await UnassignDeploymentResourcesAsync(waitUntil, projectName, content, context).ConfigureAwait(false);
+        }
+
+        /// <summary>
+        /// Unassign resources from a project. This disallows deploying new deployments to
+        /// these resources, and deletes existing deployments assigned to them.
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="body"> The info for the deployment resources to be deleted. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='UnassignDeploymentResources(WaitUntil,string,UnassignDeploymentResourcesConfig,CancellationToken)']/*" />
+        public virtual Operation UnassignDeploymentResources(WaitUntil waitUntil, string projectName, UnassignDeploymentResourcesConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return UnassignDeploymentResources(waitUntil, projectName, content, context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Unassign resources from a project. This disallows deploying new deployments to
+        /// these resources, and deletes existing deployments assigned to them.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="UnassignDeploymentResourcesAsync(WaitUntil,string,UnassignDeploymentResourcesConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='UnassignDeploymentResourcesAsync(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation> UnassignDeploymentResourcesAsync(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.UnassignDeploymentResources");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateUnassignDeploymentResourcesRequest(projectName, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.UnassignDeploymentResources", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Unassign resources from a project. This disallows deploying new deployments to
+        /// these resources, and deletes existing deployments assigned to them.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="UnassignDeploymentResources(WaitUntil,string,UnassignDeploymentResourcesConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='UnassignDeploymentResources(WaitUntil,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation UnassignDeploymentResources(WaitUntil waitUntil, string projectName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.UnassignDeploymentResources");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateUnassignDeploymentResourcesRequest(projectName, content, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.UnassignDeploymentResources", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Triggers a cancellation for a running training job. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CancelTrainingJobAsync(WaitUntil,string,string,CancellationToken)']/*" />
+        public virtual async Task<Operation<TrainingJobResult>> CancelTrainingJobAsync(WaitUntil waitUntil, string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Operation<BinaryData> response = await CancelTrainingJobAsync(waitUntil, projectName, jobId, context).ConfigureAwait(false);
+            return ProtocolOperationHelpers.Convert(response, FetchTrainingJobResultFromTrainingJobState, ClientDiagnostics, "ConversationalAnalysisAuthoring.CancelTrainingJob");
+        }
+
+        /// <summary> Triggers a cancellation for a running training job. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CancelTrainingJob(WaitUntil,string,string,CancellationToken)']/*" />
+        public virtual Operation<TrainingJobResult> CancelTrainingJob(WaitUntil waitUntil, string projectName, string jobId, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            RequestContext context = FromCancellationToken(cancellationToken);
+            Operation<BinaryData> response = CancelTrainingJob(waitUntil, projectName, jobId, context);
+            return ProtocolOperationHelpers.Convert(response, FetchTrainingJobResultFromTrainingJobState, ClientDiagnostics, "ConversationalAnalysisAuthoring.CancelTrainingJob");
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers a cancellation for a running training job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="CancelTrainingJobAsync(WaitUntil,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CancelTrainingJobAsync(WaitUntil,string,string,RequestContext)']/*" />
+        public virtual async Task<Operation<BinaryData>> CancelTrainingJobAsync(WaitUntil waitUntil, string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.CancelTrainingJob");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCancelTrainingJobRequest(projectName, jobId, context);
+                return await ProtocolOperationHelpers.ProcessMessageAsync(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.CancelTrainingJob", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Triggers a cancellation for a running training job.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="CancelTrainingJob(WaitUntil,string,string,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="jobId"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="jobId"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CancelTrainingJob(WaitUntil,string,string,RequestContext)']/*" />
+        public virtual Operation<BinaryData> CancelTrainingJob(WaitUntil waitUntil, string projectName, string jobId, RequestContext context)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(jobId, nameof(jobId));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.CancelTrainingJob");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCancelTrainingJobRequest(projectName, jobId, context);
+                return ProtocolOperationHelpers.ProcessMessage(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.CancelTrainingJob", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Deletes an existing exported model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteExportedModelAsync(WaitUntil,string,string,RequestContext)']/*" />
+        public virtual async Task<Operation> DeleteExportedModelAsync(WaitUntil waitUntil, string projectName, string exportedModelName, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.DeleteExportedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteExportedModelRequest(projectName, exportedModelName, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.DeleteExportedModel", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        // The convenience method is omitted here because it has exactly the same parameter list as the corresponding protocol method
+        /// <summary>
+        /// [Protocol Method] Deletes an existing exported model.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='DeleteExportedModel(WaitUntil,string,string,RequestContext)']/*" />
+        public virtual Operation DeleteExportedModel(WaitUntil waitUntil, string projectName, string exportedModelName, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.DeleteExportedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateDeleteExportedModelRequest(projectName, exportedModelName, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.DeleteExportedModel", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary> Creates a new exported model or replaces an existing one. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="body"> The exported model info. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CreateOrUpdateExportedModelAsync(WaitUntil,string,string,ExportedModelConfig,CancellationToken)']/*" />
+        public virtual async Task<Operation> CreateOrUpdateExportedModelAsync(WaitUntil waitUntil, string projectName, string exportedModelName, ExportedModelConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return await CreateOrUpdateExportedModelAsync(waitUntil, projectName, exportedModelName, content, context).ConfigureAwait(false);
+        }
+
+        /// <summary> Creates a new exported model or replaces an existing one. </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="body"> The exported model info. </param>
+        /// <param name="cancellationToken"> The cancellation token to use. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="body"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CreateOrUpdateExportedModel(WaitUntil,string,string,ExportedModelConfig,CancellationToken)']/*" />
+        public virtual Operation CreateOrUpdateExportedModel(WaitUntil waitUntil, string projectName, string exportedModelName, ExportedModelConfig body, CancellationToken cancellationToken = default)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNull(body, nameof(body));
+
+            using RequestContent content = body.ToRequestContent();
+            RequestContext context = FromCancellationToken(cancellationToken);
+            return CreateOrUpdateExportedModel(waitUntil, projectName, exportedModelName, content, context);
+        }
+
+        /// <summary>
+        /// [Protocol Method] Creates a new exported model or replaces an existing one.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="CreateOrUpdateExportedModelAsync(WaitUntil,string,string,ExportedModelConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CreateOrUpdateExportedModelAsync(WaitUntil,string,string,RequestContent,RequestContext)']/*" />
+        public virtual async Task<Operation> CreateOrUpdateExportedModelAsync(WaitUntil waitUntil, string projectName, string exportedModelName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.CreateOrUpdateExportedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCreateOrUpdateExportedModelRequest(projectName, exportedModelName, content, context);
+                return await ProtocolOperationHelpers.ProcessMessageWithoutResponseValueAsync(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.CreateOrUpdateExportedModel", OperationFinalStateVia.OperationLocation, context, waitUntil).ConfigureAwait(false);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        /// <summary>
+        /// [Protocol Method] Creates a new exported model or replaces an existing one.
+        /// <list type="bullet">
+        /// <item>
+        /// <description>
+        /// This <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/ProtocolMethods.md">protocol method</see> allows explicit creation of the request and processing of the response for advanced scenarios.
+        /// </description>
+        /// </item>
+        /// <item>
+        /// <description>
+        /// Please try the simpler <see cref="CreateOrUpdateExportedModel(WaitUntil,string,string,ExportedModelConfig,CancellationToken)"/> convenience overload with strongly typed models first.
+        /// </description>
+        /// </item>
+        /// </list>
+        /// </summary>
+        /// <param name="waitUntil"> <see cref="WaitUntil.Completed"/> if the method should wait to return until the long-running operation has completed on the service; <see cref="WaitUntil.Started"/> if it should return after starting the operation. For more information on long-running operations, please see <see href="https://github.com/Azure/azure-sdk-for-net/blob/main/sdk/core/Azure.Core/samples/LongRunningOperations.md"> Azure.Core Long-Running Operation samples</see>. </param>
+        /// <param name="projectName"> The name of the project to use. </param>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="content"> The content to send as the body of the request. </param>
+        /// <param name="context"> The request context, which can override default behaviors of the client pipeline on a per-call basis. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/>, <paramref name="exportedModelName"/> or <paramref name="content"/> is null. </exception>
+        /// <exception cref="ArgumentException"> <paramref name="projectName"/> or <paramref name="exportedModelName"/> is an empty string, and was expected to be non-empty. </exception>
+        /// <exception cref="RequestFailedException"> Service returned a non-success status code. </exception>
+        /// <returns> The <see cref="Operation"/> representing an asynchronous operation on the service. </returns>
+        /// <include file="Docs/ConversationalAnalysisAuthoring.xml" path="doc/members/member[@name='CreateOrUpdateExportedModel(WaitUntil,string,string,RequestContent,RequestContext)']/*" />
+        public virtual Operation CreateOrUpdateExportedModel(WaitUntil waitUntil, string projectName, string exportedModelName, RequestContent content, RequestContext context = null)
+        {
+            Argument.AssertNotNullOrEmpty(projectName, nameof(projectName));
+            Argument.AssertNotNullOrEmpty(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNull(content, nameof(content));
+
+            using var scope = ClientDiagnostics.CreateScope("ConversationalAnalysisAuthoring.CreateOrUpdateExportedModel");
+            scope.Start();
+            try
+            {
+                using HttpMessage message = CreateCreateOrUpdateExportedModelRequest(projectName, exportedModelName, content, context);
+                return ProtocolOperationHelpers.ProcessMessageWithoutResponseValue(_pipeline, message, ClientDiagnostics, "ConversationalAnalysisAuthoring.CreateOrUpdateExportedModel", OperationFinalStateVia.OperationLocation, context, waitUntil);
+            }
+            catch (Exception e)
+            {
+                scope.Failed(e);
+                throw;
+            }
+        }
+
+        internal HttpMessage CreateGetProjectsRequest(int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (maxCount != null)
+            {
+                uri.AppendQuery("top", maxCount.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetProjectRequest(string projectName, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateCreateProjectRequest(string projectName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200201);
+            var request = message.Request;
+            request.Method = RequestMethod.Patch;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/merge-patch+json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateDeleteProjectRequest(string projectName, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Delete;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateCopyProjectAuthorizationRequest(string projectName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/:authorize-copy", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateCopyProjectRequest(string projectName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/:copy", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateExportRequest(string projectName, string stringIndexType, string exportedProjectFormat, string assetKind, string trainedModelLabel, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/:export", false);
+            uri.AppendQuery("stringIndexType", stringIndexType, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (exportedProjectFormat != null)
+            {
+                uri.AppendQuery("format", exportedProjectFormat, true);
+            }
+            if (assetKind != null)
+            {
+                uri.AppendQuery("assetKind", assetKind, true);
+            }
+            if (trainedModelLabel != null)
+            {
+                uri.AppendQuery("trainedModelLabel", trainedModelLabel, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateImportRequest(string projectName, RequestContent content, string exportedProjectFormat, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/:import", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (exportedProjectFormat != null)
+            {
+                uri.AppendQuery("format", exportedProjectFormat, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateTrainRequest(string projectName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/:train", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateGetCopyProjectStatusRequest(string projectName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/copy/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetDeploymentsRequest(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (maxCount != null)
+            {
+                uri.AppendQuery("top", maxCount.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateSwapDeploymentsRequest(string projectName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments/:swap", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateGetDeploymentRequest(string projectName, string deploymentName, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments/", false);
+            uri.AppendPath(deploymentName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateDeployProjectRequest(string projectName, string deploymentName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Put;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments/", false);
+            uri.AppendPath(deploymentName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateDeleteDeploymentRequest(string projectName, string deploymentName, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Delete;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments/", false);
+            uri.AppendPath(deploymentName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateDeleteDeploymentFromResourcesRequest(string projectName, string deploymentName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments/", false);
+            uri.AppendPath(deploymentName, true);
+            uri.AppendPath("/:delete-from-resources", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateGetDeploymentDeleteFromResourcesStatusRequest(string projectName, string deploymentName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments/", false);
+            uri.AppendPath(deploymentName, true);
+            uri.AppendPath("/delete-from-resources/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetDeploymentStatusRequest(string projectName, string deploymentName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments/", false);
+            uri.AppendPath(deploymentName, true);
+            uri.AppendPath("/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetSwapDeploymentsStatusRequest(string projectName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/deployments/swap/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetExportStatusRequest(string projectName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/export/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetImportStatusRequest(string projectName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/import/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetTrainedModelsRequest(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (maxCount != null)
+            {
+                uri.AppendQuery("top", maxCount.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetTrainedModelRequest(string projectName, string trainedModelLabel, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models/", false);
+            uri.AppendPath(trainedModelLabel, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateDeleteTrainedModelRequest(string projectName, string trainedModelLabel, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier204);
+            var request = message.Request;
+            request.Method = RequestMethod.Delete;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models/", false);
+            uri.AppendPath(trainedModelLabel, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateEvaluateModelRequest(string projectName, string trainedModelLabel, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models/", false);
+            uri.AppendPath(trainedModelLabel, true);
+            uri.AppendPath("/:evaluate", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateLoadSnapshotRequest(string projectName, string trainedModelLabel, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models/", false);
+            uri.AppendPath(trainedModelLabel, true);
+            uri.AppendPath("/:load-snapshot", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetEvaluationStatusRequest(string projectName, string trainedModelLabel, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models/", false);
+            uri.AppendPath(trainedModelLabel, true);
+            uri.AppendPath("/evaluate/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetModelEvaluationResultsRequest(string projectName, string trainedModelLabel, string stringIndexType, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models/", false);
+            uri.AppendPath(trainedModelLabel, true);
+            uri.AppendPath("/evaluation/result", false);
+            uri.AppendQuery("stringIndexType", stringIndexType, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (maxCount != null)
+            {
+                uri.AppendQuery("top", maxCount.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetModelEvaluationSummaryRequest(string projectName, string trainedModelLabel, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models/", false);
+            uri.AppendPath(trainedModelLabel, true);
+            uri.AppendPath("/evaluation/summary-result", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetLoadSnapshotStatusRequest(string projectName, string trainedModelLabel, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/models/", false);
+            uri.AppendPath(trainedModelLabel, true);
+            uri.AppendPath("/load-snapshot/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetDeploymentResourcesRequest(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/resources", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (maxCount != null)
+            {
+                uri.AppendQuery("top", maxCount.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateAssignDeploymentResourcesRequest(string projectName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/resources/:assign", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateUnassignDeploymentResourcesRequest(string projectName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/resources/:unassign", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateGetAssignDeploymentResourcesStatusRequest(string projectName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/resources/assign/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetUnassignDeploymentResourcesStatusRequest(string projectName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/resources/unassign/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetTrainingJobsRequest(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/train/jobs", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (maxCount != null)
+            {
+                uri.AppendQuery("top", maxCount.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetTrainingStatusRequest(string projectName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/train/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateCancelTrainingJobRequest(string projectName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Post;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/train/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendPath("/:cancel", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetProjectDeletionStatusRequest(string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/global/deletion-jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetAssignedResourceDeploymentsRequest(int? top, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/global/deployments/resources", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (top != null)
+            {
+                uri.AppendQuery("top", top.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetSupportedLanguagesRequest(string projectKind, int? top, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/global/languages", false);
+            uri.AppendQuery("projectKind", projectKind, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (top != null)
+            {
+                uri.AppendQuery("top", top.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetSupportedPrebuiltEntitiesRequest(string language, string multilingual, int? top, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/global/prebuilt-entities", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (language != null)
+            {
+                uri.AppendQuery("language", language, true);
+            }
+            if (multilingual != null)
+            {
+                uri.AppendQuery("multilingual", multilingual, true);
+            }
+            if (top != null)
+            {
+                uri.AppendQuery("top", top.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetTrainingConfigVersionsRequest(string projectKind, int? top, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/global/training-config-versions", false);
+            uri.AppendQuery("projectKind", projectKind, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (top != null)
+            {
+                uri.AppendQuery("top", top.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetExportedModelRequest(string projectName, string exportedModelName, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/exported-models/", false);
+            uri.AppendPath(exportedModelName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetExportedModelsRequest(string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/exported-models", false);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            if (maxCount != null)
+            {
+                uri.AppendQuery("top", maxCount.Value, true);
+            }
+            if (skip != null)
+            {
+                uri.AppendQuery("skip", skip.Value, true);
+            }
+            if (maxpagesize != null)
+            {
+                uri.AppendQuery("maxpagesize", maxpagesize.Value, true);
+            }
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateDeleteExportedModelRequest(string projectName, string exportedModelName, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Delete;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/exported-models/", false);
+            uri.AppendPath(exportedModelName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateCreateOrUpdateExportedModelRequest(string projectName, string exportedModelName, RequestContent content, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier202);
+            var request = message.Request;
+            request.Method = RequestMethod.Put;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/exported-models/", false);
+            uri.AppendPath(exportedModelName, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            request.Headers.Add("Content-Type", "application/json");
+            request.Content = content;
+            return message;
+        }
+
+        internal HttpMessage CreateGetExportedModelJobStatusRequest(string projectName, string exportedModelName, string jobId, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendPath("/authoring/analyze-conversations/projects/", false);
+            uri.AppendPath(projectName, true);
+            uri.AppendPath("/exported-models/", false);
+            uri.AppendPath(exportedModelName, true);
+            uri.AppendPath("/jobs/", false);
+            uri.AppendPath(jobId, true);
+            uri.AppendQuery("api-version", _apiVersion, true);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetProjectsNextPageRequest(string nextLink, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetDeploymentsNextPageRequest(string nextLink, string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetTrainedModelsNextPageRequest(string nextLink, string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetModelEvaluationResultsNextPageRequest(string nextLink, string projectName, string trainedModelLabel, string stringIndexType, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetDeploymentResourcesNextPageRequest(string nextLink, string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetTrainingJobsNextPageRequest(string nextLink, string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        internal HttpMessage CreateGetExportedModelsNextPageRequest(string nextLink, string projectName, int? maxCount, int? skip, int? maxpagesize, RequestContext context)
+        {
+            var message = _pipeline.CreateMessage(context, ResponseClassifier200);
+            var request = message.Request;
+            request.Method = RequestMethod.Get;
+            var uri = new RawRequestUriBuilder();
+            uri.Reset(_endpoint);
+            uri.AppendRaw("/language", false);
+            uri.AppendRawNextLink(nextLink, false);
+            request.Uri = uri;
+            request.Headers.Add("Accept", "application/json");
+            return message;
+        }
+
+        private static RequestContext DefaultRequestContext = new RequestContext();
+        internal static RequestContext FromCancellationToken(CancellationToken cancellationToken = default)
+        {
+            if (!cancellationToken.CanBeCanceled)
+            {
+                return DefaultRequestContext;
+            }
+
+            return new RequestContext() { CancellationToken = cancellationToken };
+        }
+
+        private static ResponseClassifier _responseClassifier200;
+        private static ResponseClassifier ResponseClassifier200 => _responseClassifier200 ??= new StatusCodeClassifier(stackalloc ushort[] { 200 });
+        private static ResponseClassifier _responseClassifier200201;
+        private static ResponseClassifier ResponseClassifier200201 => _responseClassifier200201 ??= new StatusCodeClassifier(stackalloc ushort[] { 200, 201 });
+        private static ResponseClassifier _responseClassifier202;
+        private static ResponseClassifier ResponseClassifier202 => _responseClassifier202 ??= new StatusCodeClassifier(stackalloc ushort[] { 202 });
+        private static ResponseClassifier _responseClassifier204;
+        private static ResponseClassifier ResponseClassifier204 => _responseClassifier204 ??= new StatusCodeClassifier(stackalloc ushort[] { 204 });
+
+        private TrainingJobResult FetchTrainingJobResultFromTrainingJobState(Response response)
+        {
+            var resultJsonElement = JsonDocument.Parse(response.Content).RootElement.GetProperty("result");
+            return TrainingJobResult.DeserializeTrainingJobResult(resultJsonElement);
+        }
+
+        private EvaluationJobResult FetchEvaluationJobResultFromEvaluationJobState(Response response)
+        {
+            var resultJsonElement = JsonDocument.Parse(response.Content).RootElement.GetProperty("result");
+            return EvaluationJobResult.DeserializeEvaluationJobResult(resultJsonElement);
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/ConversationsClient.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/ConversationsClient.cs
new file mode 100644
index 000000000000..fa430ee6c879
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/ConversationsClient.cs
@@ -0,0 +1,115 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using Azure.Core;
+using Azure.Core.Pipeline;
+
+namespace Azure.AI.Language.Authoring.Conversations
+{
+    // Data plane generated client.
+    /// <summary>
+    /// The language service API is a suite of natural language processing (NLP) skills
+    /// built with best-in-class Microsoft machine learning algorithms. The API can be
+    /// used to analyze unstructured text for tasks such as sentiment analysis, key
+    /// phrase extraction, language detection and question answering. Further
+    /// documentation can be found in &lt;a
+    /// href="https://docs.microsoft.com/en-us/azure/cognitive-services/language-service/overview"&gt;https://docs.microsoft.com/en-us/azure/cognitive-services/language-service/overview&lt;/a&gt;.The language service conversations API is a suite of natural language processing (NLP) skills that can be used to analyze structured conversations (textual or spoken). The synchronous API in this suite accepts a request and mediates among multiple language projects, such as LUIS Generally Available, Question Answering, Conversational Language Understanding, and then calls the best candidate service to handle the request. At last, it returns a response with the candidate service's response as a payload.\n\n In some cases, this API needs to forward requests and responses between the caller and an upstream service. The asynchronous APIs in this suite enable tasks like Conversation Summarization and Conversational PII detection.
+    /// </summary>
+    public partial class ConversationsClient
+    {
+        private const string AuthorizationHeader = "Ocp-Apim-Subscription-Key";
+        private readonly AzureKeyCredential _keyCredential;
+        private static readonly string[] AuthorizationScopes = new string[] { "https://cognitiveservices.azure.com/.default" };
+        private readonly TokenCredential _tokenCredential;
+        private readonly HttpPipeline _pipeline;
+        private readonly Uri _endpoint;
+
+        /// <summary> The ClientDiagnostics is used to provide tracing support for the client library. </summary>
+        internal ClientDiagnostics ClientDiagnostics { get; }
+
+        /// <summary> The HTTP pipeline for sending and receiving REST requests and responses. </summary>
+        public virtual HttpPipeline Pipeline => _pipeline;
+
+        /// <summary> Initializes a new instance of ConversationsClient for mocking. </summary>
+        protected ConversationsClient()
+        {
+        }
+
+        /// <summary> Initializes a new instance of ConversationsClient. </summary>
+        /// <param name="endpoint">
+        /// Supported Cognitive Services endpoint (e.g.,
+        /// https://&lt;resource-name&gt;.api.cognitiveservices.azure.com).
+        /// </param>
+        /// <param name="credential"> A credential used to authenticate to an Azure Service. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="endpoint"/> or <paramref name="credential"/> is null. </exception>
+        public ConversationsClient(Uri endpoint, AzureKeyCredential credential) : this(endpoint, credential, new ConversationsClientOptions())
+        {
+        }
+
+        /// <summary> Initializes a new instance of ConversationsClient. </summary>
+        /// <param name="endpoint">
+        /// Supported Cognitive Services endpoint (e.g.,
+        /// https://&lt;resource-name&gt;.api.cognitiveservices.azure.com).
+        /// </param>
+        /// <param name="credential"> A credential used to authenticate to an Azure Service. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="endpoint"/> or <paramref name="credential"/> is null. </exception>
+        public ConversationsClient(Uri endpoint, TokenCredential credential) : this(endpoint, credential, new ConversationsClientOptions())
+        {
+        }
+
+        /// <summary> Initializes a new instance of ConversationsClient. </summary>
+        /// <param name="endpoint">
+        /// Supported Cognitive Services endpoint (e.g.,
+        /// https://&lt;resource-name&gt;.api.cognitiveservices.azure.com).
+        /// </param>
+        /// <param name="credential"> A credential used to authenticate to an Azure Service. </param>
+        /// <param name="options"> The options for configuring the client. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="endpoint"/> or <paramref name="credential"/> is null. </exception>
+        public ConversationsClient(Uri endpoint, AzureKeyCredential credential, ConversationsClientOptions options)
+        {
+            Argument.AssertNotNull(endpoint, nameof(endpoint));
+            Argument.AssertNotNull(credential, nameof(credential));
+            options ??= new ConversationsClientOptions();
+
+            ClientDiagnostics = new ClientDiagnostics(options, true);
+            _keyCredential = credential;
+            _pipeline = HttpPipelineBuilder.Build(options, Array.Empty<HttpPipelinePolicy>(), new HttpPipelinePolicy[] { new AzureKeyCredentialPolicy(_keyCredential, AuthorizationHeader) }, new ResponseClassifier());
+            _endpoint = endpoint;
+        }
+
+        /// <summary> Initializes a new instance of ConversationsClient. </summary>
+        /// <param name="endpoint">
+        /// Supported Cognitive Services endpoint (e.g.,
+        /// https://&lt;resource-name&gt;.api.cognitiveservices.azure.com).
+        /// </param>
+        /// <param name="credential"> A credential used to authenticate to an Azure Service. </param>
+        /// <param name="options"> The options for configuring the client. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="endpoint"/> or <paramref name="credential"/> is null. </exception>
+        public ConversationsClient(Uri endpoint, TokenCredential credential, ConversationsClientOptions options)
+        {
+            Argument.AssertNotNull(endpoint, nameof(endpoint));
+            Argument.AssertNotNull(credential, nameof(credential));
+            options ??= new ConversationsClientOptions();
+
+            ClientDiagnostics = new ClientDiagnostics(options, true);
+            _tokenCredential = credential;
+            _pipeline = HttpPipelineBuilder.Build(options, Array.Empty<HttpPipelinePolicy>(), new HttpPipelinePolicy[] { new BearerTokenAuthenticationPolicy(_tokenCredential, AuthorizationScopes) }, new ResponseClassifier());
+            _endpoint = endpoint;
+        }
+
+        /// <summary> Initializes a new instance of ConversationalAnalysisAuthoring. </summary>
+        /// <param name="apiVersion"> The API version to use for this operation. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="apiVersion"/> is null. </exception>
+        public virtual ConversationalAnalysisAuthoring GetConversationalAnalysisAuthoringClient(string apiVersion = "2024-11-15-preview")
+        {
+            Argument.AssertNotNull(apiVersion, nameof(apiVersion));
+
+            return new ConversationalAnalysisAuthoring(ClientDiagnostics, _pipeline, _keyCredential, _tokenCredential, _endpoint, apiVersion);
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/ConversationsClientOptions.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/ConversationsClientOptions.cs
new file mode 100644
index 000000000000..c6018673e561
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/ConversationsClientOptions.cs
@@ -0,0 +1,43 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations
+{
+    /// <summary> Client options for ConversationsClient. </summary>
+    public partial class ConversationsClientOptions : ClientOptions
+    {
+        private const ServiceVersion LatestVersion = ServiceVersion.V2024_11_15_Preview;
+
+        /// <summary> The version of the service to use. </summary>
+        public enum ServiceVersion
+        {
+            /// <summary> Service version "2023-04-01". </summary>
+            V2023_04_01 = 1,
+            /// <summary> Service version "2023-04-15-preview". </summary>
+            V2023_04_15_Preview = 2,
+            /// <summary> Service version "2024-11-15-preview". </summary>
+            V2024_11_15_Preview = 3,
+        }
+
+        internal string Version { get; }
+
+        /// <summary> Initializes new instance of ConversationsClientOptions. </summary>
+        public ConversationsClientOptions(ServiceVersion version = LatestVersion)
+        {
+            Version = version switch
+            {
+                ServiceVersion.V2023_04_01 => "2023-04-01",
+                ServiceVersion.V2023_04_15_Preview => "2023-04-15-preview",
+                ServiceVersion.V2024_11_15_Preview => "2024-11-15-preview",
+                _ => throw new NotSupportedException()
+            };
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Docs/ConversationalAnalysisAuthoring.xml b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Docs/ConversationalAnalysisAuthoring.xml
new file mode 100644
index 000000000000..7770f4d0f6fe
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Docs/ConversationalAnalysisAuthoring.xml
@@ -0,0 +1,5847 @@
+<?xml version="1.0" encoding="utf-8"?>
+<doc>
+  <members>
+    <member name="GetProjectAsync(string,CancellationToken)">
+      <example>
+This sample shows how to call GetProjectAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<ProjectMetadata> response = await client.GetProjectAsync("<projectName>");
+]]></code>
+This sample shows how to call GetProjectAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<ProjectMetadata> response = await client.GetProjectAsync("<projectName>");
+]]></code></example>
+    </member>
+    <member name="GetProject(string,CancellationToken)">
+      <example>
+This sample shows how to call GetProject.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<ProjectMetadata> response = client.GetProject("<projectName>");
+]]></code>
+This sample shows how to call GetProject with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<ProjectMetadata> response = client.GetProject("<projectName>");
+]]></code></example>
+    </member>
+    <member name="GetProjectAsync(string,RequestContext)">
+      <example>
+This sample shows how to call GetProjectAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetProjectAsync("<projectName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("projectName").ToString());
+Console.WriteLine(result.GetProperty("language").ToString());
+]]></code>
+This sample shows how to call GetProjectAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetProjectAsync("<projectName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+Console.WriteLine(result.GetProperty("projectName").ToString());
+Console.WriteLine(result.GetProperty("multilingual").ToString());
+Console.WriteLine(result.GetProperty("description").ToString());
+Console.WriteLine(result.GetProperty("language").ToString());
+]]></code></example>
+    </member>
+    <member name="GetProject(string,RequestContext)">
+      <example>
+This sample shows how to call GetProject and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetProject("<projectName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("projectName").ToString());
+Console.WriteLine(result.GetProperty("language").ToString());
+]]></code>
+This sample shows how to call GetProject with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetProject("<projectName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+Console.WriteLine(result.GetProperty("projectName").ToString());
+Console.WriteLine(result.GetProperty("multilingual").ToString());
+Console.WriteLine(result.GetProperty("description").ToString());
+Console.WriteLine(result.GetProperty("language").ToString());
+]]></code></example>
+    </member>
+    <member name="CreateProjectAsync(string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call CreateProjectAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "Conversation",
+    projectName = "<projectName>",
+    language = "<language>",
+});
+Response response = await client.CreateProjectAsync("<projectName>", content);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("projectName").ToString());
+Console.WriteLine(result.GetProperty("language").ToString());
+]]></code>
+This sample shows how to call CreateProjectAsync with all parameters and request content and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "Conversation",
+    settings = new
+    {
+        confidenceThreshold = 123.45F,
+    },
+    storageInputContainerName = "<storageInputContainerName>",
+    projectName = "<projectName>",
+    multilingual = true,
+    description = "<description>",
+    language = "<language>",
+});
+Response response = await client.CreateProjectAsync("<projectName>", content);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+Console.WriteLine(result.GetProperty("projectName").ToString());
+Console.WriteLine(result.GetProperty("multilingual").ToString());
+Console.WriteLine(result.GetProperty("description").ToString());
+Console.WriteLine(result.GetProperty("language").ToString());
+]]></code></example>
+    </member>
+    <member name="CreateProject(string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call CreateProject and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "Conversation",
+    projectName = "<projectName>",
+    language = "<language>",
+});
+Response response = client.CreateProject("<projectName>", content);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("projectName").ToString());
+Console.WriteLine(result.GetProperty("language").ToString());
+]]></code>
+This sample shows how to call CreateProject with all parameters and request content and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "Conversation",
+    settings = new
+    {
+        confidenceThreshold = 123.45F,
+    },
+    storageInputContainerName = "<storageInputContainerName>",
+    projectName = "<projectName>",
+    multilingual = true,
+    description = "<description>",
+    language = "<language>",
+});
+Response response = client.CreateProject("<projectName>", content);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+Console.WriteLine(result.GetProperty("projectName").ToString());
+Console.WriteLine(result.GetProperty("multilingual").ToString());
+Console.WriteLine(result.GetProperty("description").ToString());
+Console.WriteLine(result.GetProperty("language").ToString());
+]]></code></example>
+    </member>
+    <member name="CopyProjectAuthorizationAsync(string,ProjectKind,string,bool?,CancellationToken)">
+      <example>
+This sample shows how to call CopyProjectAuthorizationAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<CopyProjectConfig> response = await client.CopyProjectAuthorizationAsync("<projectName>", ProjectKind.Conversation);
+]]></code>
+This sample shows how to call CopyProjectAuthorizationAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<CopyProjectConfig> response = await client.CopyProjectAuthorizationAsync("<projectName>", ProjectKind.Conversation, storageInputContainerName: "<storageInputContainerName>", allowOverwrite: true);
+]]></code></example>
+    </member>
+    <member name="CopyProjectAuthorization(string,ProjectKind,string,bool?,CancellationToken)">
+      <example>
+This sample shows how to call CopyProjectAuthorization.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<CopyProjectConfig> response = client.CopyProjectAuthorization("<projectName>", ProjectKind.Conversation);
+]]></code>
+This sample shows how to call CopyProjectAuthorization with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<CopyProjectConfig> response = client.CopyProjectAuthorization("<projectName>", ProjectKind.Conversation, storageInputContainerName: "<storageInputContainerName>", allowOverwrite: true);
+]]></code></example>
+    </member>
+    <member name="CopyProjectAuthorizationAsync(string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call CopyProjectAuthorizationAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "Conversation",
+});
+Response response = await client.CopyProjectAuthorizationAsync("<projectName>", content);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("targetProjectName").ToString());
+Console.WriteLine(result.GetProperty("accessToken").ToString());
+Console.WriteLine(result.GetProperty("expiresAt").ToString());
+Console.WriteLine(result.GetProperty("targetResourceId").ToString());
+Console.WriteLine(result.GetProperty("targetResourceRegion").ToString());
+]]></code>
+This sample shows how to call CopyProjectAuthorizationAsync with all parameters and request content and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "Conversation",
+    storageInputContainerName = "<storageInputContainerName>",
+    allowOverwrite = true,
+});
+Response response = await client.CopyProjectAuthorizationAsync("<projectName>", content);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("targetProjectName").ToString());
+Console.WriteLine(result.GetProperty("accessToken").ToString());
+Console.WriteLine(result.GetProperty("expiresAt").ToString());
+Console.WriteLine(result.GetProperty("targetResourceId").ToString());
+Console.WriteLine(result.GetProperty("targetResourceRegion").ToString());
+]]></code></example>
+    </member>
+    <member name="CopyProjectAuthorization(string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call CopyProjectAuthorization and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "Conversation",
+});
+Response response = client.CopyProjectAuthorization("<projectName>", content);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("targetProjectName").ToString());
+Console.WriteLine(result.GetProperty("accessToken").ToString());
+Console.WriteLine(result.GetProperty("expiresAt").ToString());
+Console.WriteLine(result.GetProperty("targetResourceId").ToString());
+Console.WriteLine(result.GetProperty("targetResourceRegion").ToString());
+]]></code>
+This sample shows how to call CopyProjectAuthorization with all parameters and request content and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "Conversation",
+    storageInputContainerName = "<storageInputContainerName>",
+    allowOverwrite = true,
+});
+Response response = client.CopyProjectAuthorization("<projectName>", content);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("projectKind").ToString());
+Console.WriteLine(result.GetProperty("targetProjectName").ToString());
+Console.WriteLine(result.GetProperty("accessToken").ToString());
+Console.WriteLine(result.GetProperty("expiresAt").ToString());
+Console.WriteLine(result.GetProperty("targetResourceId").ToString());
+Console.WriteLine(result.GetProperty("targetResourceRegion").ToString());
+]]></code></example>
+    </member>
+    <member name="GetCopyProjectStatusAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetCopyProjectStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetCopyProjectStatusResponse> response = await client.GetCopyProjectStatusAsync("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetCopyProjectStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetCopyProjectStatusResponse> response = await client.GetCopyProjectStatusAsync("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetCopyProjectStatus(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetCopyProjectStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetCopyProjectStatusResponse> response = client.GetCopyProjectStatus("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetCopyProjectStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetCopyProjectStatusResponse> response = client.GetCopyProjectStatus("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetCopyProjectStatusAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetCopyProjectStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetCopyProjectStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetCopyProjectStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetCopyProjectStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetCopyProjectStatus(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetCopyProjectStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetCopyProjectStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetCopyProjectStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetCopyProjectStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetDeploymentAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetDeploymentAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentResponse> response = await client.GetDeploymentAsync("<projectName>", "<deploymentName>");
+]]></code>
+This sample shows how to call GetDeploymentAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentResponse> response = await client.GetDeploymentAsync("<projectName>", "<deploymentName>");
+]]></code></example>
+    </member>
+    <member name="GetDeployment(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetDeployment.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentResponse> response = client.GetDeployment("<projectName>", "<deploymentName>");
+]]></code>
+This sample shows how to call GetDeployment with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentResponse> response = client.GetDeployment("<projectName>", "<deploymentName>");
+]]></code></example>
+    </member>
+    <member name="GetDeploymentAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetDeploymentAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetDeploymentAsync("<projectName>", "<deploymentName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+]]></code>
+This sample shows how to call GetDeploymentAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetDeploymentAsync("<projectName>", "<deploymentName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+]]></code></example>
+    </member>
+    <member name="GetDeployment(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetDeployment and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetDeployment("<projectName>", "<deploymentName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+]]></code>
+This sample shows how to call GetDeployment with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetDeployment("<projectName>", "<deploymentName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+]]></code></example>
+    </member>
+    <member name="GetDeploymentDeleteFromResourcesStatusAsync(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetDeploymentDeleteFromResourcesStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentDeleteFromResourcesStatusResponse> response = await client.GetDeploymentDeleteFromResourcesStatusAsync("<projectName>", "<deploymentName>", "<jobId>");
+]]></code>
+This sample shows how to call GetDeploymentDeleteFromResourcesStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentDeleteFromResourcesStatusResponse> response = await client.GetDeploymentDeleteFromResourcesStatusAsync("<projectName>", "<deploymentName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetDeploymentDeleteFromResourcesStatus(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetDeploymentDeleteFromResourcesStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentDeleteFromResourcesStatusResponse> response = client.GetDeploymentDeleteFromResourcesStatus("<projectName>", "<deploymentName>", "<jobId>");
+]]></code>
+This sample shows how to call GetDeploymentDeleteFromResourcesStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentDeleteFromResourcesStatusResponse> response = client.GetDeploymentDeleteFromResourcesStatus("<projectName>", "<deploymentName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetDeploymentDeleteFromResourcesStatusAsync(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetDeploymentDeleteFromResourcesStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetDeploymentDeleteFromResourcesStatusAsync("<projectName>", "<deploymentName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetDeploymentDeleteFromResourcesStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetDeploymentDeleteFromResourcesStatusAsync("<projectName>", "<deploymentName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetDeploymentDeleteFromResourcesStatus(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetDeploymentDeleteFromResourcesStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetDeploymentDeleteFromResourcesStatus("<projectName>", "<deploymentName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetDeploymentDeleteFromResourcesStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetDeploymentDeleteFromResourcesStatus("<projectName>", "<deploymentName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetDeploymentStatusAsync(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetDeploymentStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentStatusResponse> response = await client.GetDeploymentStatusAsync("<projectName>", "<deploymentName>", "<jobId>");
+]]></code>
+This sample shows how to call GetDeploymentStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentStatusResponse> response = await client.GetDeploymentStatusAsync("<projectName>", "<deploymentName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetDeploymentStatus(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetDeploymentStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentStatusResponse> response = client.GetDeploymentStatus("<projectName>", "<deploymentName>", "<jobId>");
+]]></code>
+This sample shows how to call GetDeploymentStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetDeploymentStatusResponse> response = client.GetDeploymentStatus("<projectName>", "<deploymentName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetDeploymentStatusAsync(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetDeploymentStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetDeploymentStatusAsync("<projectName>", "<deploymentName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetDeploymentStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetDeploymentStatusAsync("<projectName>", "<deploymentName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetDeploymentStatus(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetDeploymentStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetDeploymentStatus("<projectName>", "<deploymentName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetDeploymentStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetDeploymentStatus("<projectName>", "<deploymentName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetSwapDeploymentsStatusAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetSwapDeploymentsStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetSwapDeploymentsStatusResponse> response = await client.GetSwapDeploymentsStatusAsync("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetSwapDeploymentsStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetSwapDeploymentsStatusResponse> response = await client.GetSwapDeploymentsStatusAsync("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetSwapDeploymentsStatus(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetSwapDeploymentsStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetSwapDeploymentsStatusResponse> response = client.GetSwapDeploymentsStatus("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetSwapDeploymentsStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetSwapDeploymentsStatusResponse> response = client.GetSwapDeploymentsStatus("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetSwapDeploymentsStatusAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetSwapDeploymentsStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetSwapDeploymentsStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetSwapDeploymentsStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetSwapDeploymentsStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetSwapDeploymentsStatus(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetSwapDeploymentsStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetSwapDeploymentsStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetSwapDeploymentsStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetSwapDeploymentsStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetExportStatusAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetExportStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportStatusResponse> response = await client.GetExportStatusAsync("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetExportStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportStatusResponse> response = await client.GetExportStatusAsync("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetExportStatus(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetExportStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportStatusResponse> response = client.GetExportStatus("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetExportStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportStatusResponse> response = client.GetExportStatus("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetExportStatusAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetExportStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetExportStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetExportStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetExportStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("resultUrl").ToString());
+]]></code></example>
+    </member>
+    <member name="GetExportStatus(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetExportStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetExportStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetExportStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetExportStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("resultUrl").ToString());
+]]></code></example>
+    </member>
+    <member name="GetImportStatusAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetImportStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetImportStatusResponse> response = await client.GetImportStatusAsync("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetImportStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetImportStatusResponse> response = await client.GetImportStatusAsync("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetImportStatus(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetImportStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetImportStatusResponse> response = client.GetImportStatus("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetImportStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetImportStatusResponse> response = client.GetImportStatus("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetImportStatusAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetImportStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetImportStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetImportStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetImportStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetImportStatus(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetImportStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetImportStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetImportStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetImportStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetTrainedModelAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainedModelAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetTrainedModelResponse> response = await client.GetTrainedModelAsync("<projectName>", "<trainedModelLabel>");
+]]></code>
+This sample shows how to call GetTrainedModelAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetTrainedModelResponse> response = await client.GetTrainedModelAsync("<projectName>", "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="GetTrainedModel(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainedModel.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetTrainedModelResponse> response = client.GetTrainedModel("<projectName>", "<trainedModelLabel>");
+]]></code>
+This sample shows how to call GetTrainedModel with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetTrainedModelResponse> response = client.GetTrainedModel("<projectName>", "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="GetTrainedModelAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetTrainedModelAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetTrainedModelAsync("<projectName>", "<trainedModelLabel>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+]]></code>
+This sample shows how to call GetTrainedModelAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetTrainedModelAsync("<projectName>", "<trainedModelLabel>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+]]></code></example>
+    </member>
+    <member name="GetTrainedModel(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetTrainedModel and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetTrainedModel("<projectName>", "<trainedModelLabel>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+]]></code>
+This sample shows how to call GetTrainedModel with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetTrainedModel("<projectName>", "<trainedModelLabel>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+]]></code></example>
+    </member>
+    <member name="DeleteTrainedModelAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call DeleteTrainedModelAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.DeleteTrainedModelAsync("<projectName>", "<trainedModelLabel>");
+
+Console.WriteLine(response.Status);
+]]></code>
+This sample shows how to call DeleteTrainedModelAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.DeleteTrainedModelAsync("<projectName>", "<trainedModelLabel>");
+
+Console.WriteLine(response.Status);
+]]></code></example>
+    </member>
+    <member name="DeleteTrainedModel(string,string,RequestContext)">
+      <example>
+This sample shows how to call DeleteTrainedModel.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.DeleteTrainedModel("<projectName>", "<trainedModelLabel>");
+
+Console.WriteLine(response.Status);
+]]></code>
+This sample shows how to call DeleteTrainedModel with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.DeleteTrainedModel("<projectName>", "<trainedModelLabel>");
+
+Console.WriteLine(response.Status);
+]]></code></example>
+    </member>
+    <member name="GetEvaluationStatusAsync(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetEvaluationStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetEvaluationStatusResponse> response = await client.GetEvaluationStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>");
+]]></code>
+This sample shows how to call GetEvaluationStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetEvaluationStatusResponse> response = await client.GetEvaluationStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetEvaluationStatus(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetEvaluationStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetEvaluationStatusResponse> response = client.GetEvaluationStatus("<projectName>", "<trainedModelLabel>", "<jobId>");
+]]></code>
+This sample shows how to call GetEvaluationStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetEvaluationStatusResponse> response = client.GetEvaluationStatus("<projectName>", "<trainedModelLabel>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetEvaluationStatusAsync(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetEvaluationStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetEvaluationStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("percentComplete").ToString());
+]]></code>
+This sample shows how to call GetEvaluationStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetEvaluationStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("kind").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("percentComplete").ToString());
+]]></code></example>
+    </member>
+    <member name="GetEvaluationStatus(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetEvaluationStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetEvaluationStatus("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("percentComplete").ToString());
+]]></code>
+This sample shows how to call GetEvaluationStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetEvaluationStatus("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("kind").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("percentComplete").ToString());
+]]></code></example>
+    </member>
+    <member name="GetModelEvaluationSummaryAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetModelEvaluationSummaryAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<EvaluationSummary> response = await client.GetModelEvaluationSummaryAsync("<projectName>", "<trainedModelLabel>");
+]]></code>
+This sample shows how to call GetModelEvaluationSummaryAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<EvaluationSummary> response = await client.GetModelEvaluationSummaryAsync("<projectName>", "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="GetModelEvaluationSummary(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetModelEvaluationSummary.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<EvaluationSummary> response = client.GetModelEvaluationSummary("<projectName>", "<trainedModelLabel>");
+]]></code>
+This sample shows how to call GetModelEvaluationSummary with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<EvaluationSummary> response = client.GetModelEvaluationSummary("<projectName>", "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="GetModelEvaluationSummaryAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetModelEvaluationSummaryAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetModelEvaluationSummaryAsync("<projectName>", "<trainedModelLabel>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("confusionMatrix").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("f1").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("precision").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("recall").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("truePositiveCount").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("trueNegativeCount").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("falsePositiveCount").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("falseNegativeCount").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microF1").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microPrecision").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microRecall").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroF1").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroPrecision").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroRecall").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("confusionMatrix").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("f1").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("precision").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("recall").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("truePositiveCount").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("trueNegativeCount").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("falsePositiveCount").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("falseNegativeCount").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microF1").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microPrecision").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microRecall").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroF1").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroPrecision").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroRecall").ToString());
+]]></code>
+This sample shows how to call GetModelEvaluationSummaryAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetModelEvaluationSummaryAsync("<projectName>", "<trainedModelLabel>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("confusionMatrix").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("f1").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("precision").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("recall").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("truePositiveCount").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("trueNegativeCount").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("falsePositiveCount").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("falseNegativeCount").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microF1").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microPrecision").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microRecall").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroF1").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroPrecision").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroRecall").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("confusionMatrix").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("f1").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("precision").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("recall").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("truePositiveCount").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("trueNegativeCount").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("falsePositiveCount").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("falseNegativeCount").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microF1").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microPrecision").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microRecall").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroF1").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroPrecision").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroRecall").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("kind").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+]]></code></example>
+    </member>
+    <member name="GetModelEvaluationSummary(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetModelEvaluationSummary and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetModelEvaluationSummary("<projectName>", "<trainedModelLabel>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("confusionMatrix").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("f1").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("precision").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("recall").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("truePositiveCount").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("trueNegativeCount").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("falsePositiveCount").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("falseNegativeCount").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microF1").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microPrecision").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microRecall").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroF1").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroPrecision").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroRecall").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("confusionMatrix").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("f1").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("precision").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("recall").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("truePositiveCount").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("trueNegativeCount").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("falsePositiveCount").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("falseNegativeCount").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microF1").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microPrecision").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microRecall").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroF1").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroPrecision").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroRecall").ToString());
+]]></code>
+This sample shows how to call GetModelEvaluationSummary with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetModelEvaluationSummary("<projectName>", "<trainedModelLabel>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("confusionMatrix").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("f1").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("precision").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("recall").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("truePositiveCount").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("trueNegativeCount").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("falsePositiveCount").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("falseNegativeCount").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microF1").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microPrecision").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microRecall").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroF1").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroPrecision").ToString());
+Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroRecall").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("confusionMatrix").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("f1").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("precision").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("recall").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("truePositiveCount").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("trueNegativeCount").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("falsePositiveCount").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("falseNegativeCount").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microF1").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microPrecision").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microRecall").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroF1").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroPrecision").ToString());
+Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroRecall").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("kind").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+]]></code></example>
+    </member>
+    <member name="GetLoadSnapshotStatusAsync(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetLoadSnapshotStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetLoadSnapshotStatusResponse> response = await client.GetLoadSnapshotStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>");
+]]></code>
+This sample shows how to call GetLoadSnapshotStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetLoadSnapshotStatusResponse> response = await client.GetLoadSnapshotStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetLoadSnapshotStatus(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetLoadSnapshotStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetLoadSnapshotStatusResponse> response = client.GetLoadSnapshotStatus("<projectName>", "<trainedModelLabel>", "<jobId>");
+]]></code>
+This sample shows how to call GetLoadSnapshotStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetLoadSnapshotStatusResponse> response = client.GetLoadSnapshotStatus("<projectName>", "<trainedModelLabel>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetLoadSnapshotStatusAsync(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetLoadSnapshotStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetLoadSnapshotStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetLoadSnapshotStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetLoadSnapshotStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetLoadSnapshotStatus(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetLoadSnapshotStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetLoadSnapshotStatus("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetLoadSnapshotStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetLoadSnapshotStatus("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetAssignDeploymentResourcesStatusAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetAssignDeploymentResourcesStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetAssignDeploymentResourcesStatusResponse> response = await client.GetAssignDeploymentResourcesStatusAsync("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetAssignDeploymentResourcesStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetAssignDeploymentResourcesStatusResponse> response = await client.GetAssignDeploymentResourcesStatusAsync("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetAssignDeploymentResourcesStatus(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetAssignDeploymentResourcesStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetAssignDeploymentResourcesStatusResponse> response = client.GetAssignDeploymentResourcesStatus("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetAssignDeploymentResourcesStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetAssignDeploymentResourcesStatusResponse> response = client.GetAssignDeploymentResourcesStatus("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetAssignDeploymentResourcesStatusAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetAssignDeploymentResourcesStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetAssignDeploymentResourcesStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetAssignDeploymentResourcesStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetAssignDeploymentResourcesStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetAssignDeploymentResourcesStatus(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetAssignDeploymentResourcesStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetAssignDeploymentResourcesStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetAssignDeploymentResourcesStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetAssignDeploymentResourcesStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetUnassignDeploymentResourcesStatusAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetUnassignDeploymentResourcesStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetUnassignDeploymentResourcesStatusResponse> response = await client.GetUnassignDeploymentResourcesStatusAsync("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetUnassignDeploymentResourcesStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetUnassignDeploymentResourcesStatusResponse> response = await client.GetUnassignDeploymentResourcesStatusAsync("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetUnassignDeploymentResourcesStatus(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetUnassignDeploymentResourcesStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetUnassignDeploymentResourcesStatusResponse> response = client.GetUnassignDeploymentResourcesStatus("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetUnassignDeploymentResourcesStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetUnassignDeploymentResourcesStatusResponse> response = client.GetUnassignDeploymentResourcesStatus("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetUnassignDeploymentResourcesStatusAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetUnassignDeploymentResourcesStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetUnassignDeploymentResourcesStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetUnassignDeploymentResourcesStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetUnassignDeploymentResourcesStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetUnassignDeploymentResourcesStatus(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetUnassignDeploymentResourcesStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetUnassignDeploymentResourcesStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetUnassignDeploymentResourcesStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetUnassignDeploymentResourcesStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetTrainingStatusAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainingStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetTrainingStatusResponse> response = await client.GetTrainingStatusAsync("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetTrainingStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetTrainingStatusResponse> response = await client.GetTrainingStatusAsync("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetTrainingStatus(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainingStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetTrainingStatusResponse> response = client.GetTrainingStatus("<projectName>", "<jobId>");
+]]></code>
+This sample shows how to call GetTrainingStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetTrainingStatusResponse> response = client.GetTrainingStatus("<projectName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetTrainingStatusAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetTrainingStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetTrainingStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetTrainingStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetTrainingStatusAsync("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingMode").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("estimatedEndDateTime").ToString());
+]]></code></example>
+    </member>
+    <member name="GetTrainingStatus(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetTrainingStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetTrainingStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetTrainingStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetTrainingStatus("<projectName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingMode").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("result").GetProperty("estimatedEndDateTime").ToString());
+]]></code></example>
+    </member>
+    <member name="GetProjectDeletionStatusAsync(string,CancellationToken)">
+      <example>
+This sample shows how to call GetProjectDeletionStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetProjectDeletionStatusResponse> response = await client.GetProjectDeletionStatusAsync("<jobId>");
+]]></code>
+This sample shows how to call GetProjectDeletionStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetProjectDeletionStatusResponse> response = await client.GetProjectDeletionStatusAsync("<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetProjectDeletionStatus(string,CancellationToken)">
+      <example>
+This sample shows how to call GetProjectDeletionStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetProjectDeletionStatusResponse> response = client.GetProjectDeletionStatus("<jobId>");
+]]></code>
+This sample shows how to call GetProjectDeletionStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetProjectDeletionStatusResponse> response = client.GetProjectDeletionStatus("<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetProjectDeletionStatusAsync(string,RequestContext)">
+      <example>
+This sample shows how to call GetProjectDeletionStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetProjectDeletionStatusAsync("<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetProjectDeletionStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetProjectDeletionStatusAsync("<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetProjectDeletionStatus(string,RequestContext)">
+      <example>
+This sample shows how to call GetProjectDeletionStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetProjectDeletionStatus("<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetProjectDeletionStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetProjectDeletionStatus("<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetAssignedResourceDeploymentsAsync(int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetAssignedResourceDeploymentsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<AssignedResourceDeploymentsMetadata> response = await client.GetAssignedResourceDeploymentsAsync();
+]]></code>
+This sample shows how to call GetAssignedResourceDeploymentsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<AssignedResourceDeploymentsMetadata> response = await client.GetAssignedResourceDeploymentsAsync(top: 1234, skip: 1234, maxpagesize: 1234);
+]]></code></example>
+    </member>
+    <member name="GetAssignedResourceDeployments(int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetAssignedResourceDeployments.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<AssignedResourceDeploymentsMetadata> response = client.GetAssignedResourceDeployments();
+]]></code>
+This sample shows how to call GetAssignedResourceDeployments with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<AssignedResourceDeploymentsMetadata> response = client.GetAssignedResourceDeployments(top: 1234, skip: 1234, maxpagesize: 1234);
+]]></code></example>
+    </member>
+    <member name="GetAssignedResourceDeploymentsAsync(int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetAssignedResourceDeploymentsAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetAssignedResourceDeploymentsAsync(null, null, null, null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("projectName").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("deploymentName").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("deploymentExpirationDate").ToString());
+]]></code>
+This sample shows how to call GetAssignedResourceDeploymentsAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetAssignedResourceDeploymentsAsync(1234, 1234, 1234, null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("projectName").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("deploymentName").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("deploymentExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("nextLink").ToString());
+]]></code></example>
+    </member>
+    <member name="GetAssignedResourceDeployments(int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetAssignedResourceDeployments and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetAssignedResourceDeployments(null, null, null, null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("projectName").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("deploymentName").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("deploymentExpirationDate").ToString());
+]]></code>
+This sample shows how to call GetAssignedResourceDeployments with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetAssignedResourceDeployments(1234, 1234, 1234, null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("projectName").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("deploymentName").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("lastDeployedDateTime").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("deploymentExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("nextLink").ToString());
+]]></code></example>
+    </member>
+    <member name="GetSupportedLanguagesAsync(ProjectKind,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetSupportedLanguagesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<SupportedLanguages> response = await client.GetSupportedLanguagesAsync(ProjectKind.Conversation);
+]]></code>
+This sample shows how to call GetSupportedLanguagesAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<SupportedLanguages> response = await client.GetSupportedLanguagesAsync(ProjectKind.Conversation, top: 1234, skip: 1234, maxpagesize: 1234);
+]]></code></example>
+    </member>
+    <member name="GetSupportedLanguages(ProjectKind,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetSupportedLanguages.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<SupportedLanguages> response = client.GetSupportedLanguages(ProjectKind.Conversation);
+]]></code>
+This sample shows how to call GetSupportedLanguages with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<SupportedLanguages> response = client.GetSupportedLanguages(ProjectKind.Conversation, top: 1234, skip: 1234, maxpagesize: 1234);
+]]></code></example>
+    </member>
+    <member name="GetSupportedLanguagesAsync(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetSupportedLanguagesAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetSupportedLanguagesAsync("Conversation");
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("languageName").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("languageCode").ToString());
+]]></code>
+This sample shows how to call GetSupportedLanguagesAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetSupportedLanguagesAsync("Conversation", top: 1234, skip: 1234, maxpagesize: 1234);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("languageName").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("languageCode").ToString());
+Console.WriteLine(result.GetProperty("nextLink").ToString());
+]]></code></example>
+    </member>
+    <member name="GetSupportedLanguages(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetSupportedLanguages and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetSupportedLanguages("Conversation");
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("languageName").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("languageCode").ToString());
+]]></code>
+This sample shows how to call GetSupportedLanguages with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetSupportedLanguages("Conversation", top: 1234, skip: 1234, maxpagesize: 1234);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("languageName").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("languageCode").ToString());
+Console.WriteLine(result.GetProperty("nextLink").ToString());
+]]></code></example>
+    </member>
+    <member name="GetSupportedPrebuiltEntitiesAsync(string,string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetSupportedPrebuiltEntitiesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<PrebuiltEntities> response = await client.GetSupportedPrebuiltEntitiesAsync();
+]]></code>
+This sample shows how to call GetSupportedPrebuiltEntitiesAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<PrebuiltEntities> response = await client.GetSupportedPrebuiltEntitiesAsync(language: "<language>", multilingual: "<multilingual>", top: 1234, skip: 1234, maxpagesize: 1234);
+]]></code></example>
+    </member>
+    <member name="GetSupportedPrebuiltEntities(string,string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetSupportedPrebuiltEntities.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<PrebuiltEntities> response = client.GetSupportedPrebuiltEntities();
+]]></code>
+This sample shows how to call GetSupportedPrebuiltEntities with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<PrebuiltEntities> response = client.GetSupportedPrebuiltEntities(language: "<language>", multilingual: "<multilingual>", top: 1234, skip: 1234, maxpagesize: 1234);
+]]></code></example>
+    </member>
+    <member name="GetSupportedPrebuiltEntitiesAsync(string,string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetSupportedPrebuiltEntitiesAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetSupportedPrebuiltEntitiesAsync(null, null, null, null, null, null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("category").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("description").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("examples").ToString());
+]]></code>
+This sample shows how to call GetSupportedPrebuiltEntitiesAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetSupportedPrebuiltEntitiesAsync("<language>", "<multilingual>", 1234, 1234, 1234, null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("category").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("description").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("examples").ToString());
+Console.WriteLine(result.GetProperty("nextLink").ToString());
+]]></code></example>
+    </member>
+    <member name="GetSupportedPrebuiltEntities(string,string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetSupportedPrebuiltEntities and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetSupportedPrebuiltEntities(null, null, null, null, null, null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("category").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("description").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("examples").ToString());
+]]></code>
+This sample shows how to call GetSupportedPrebuiltEntities with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetSupportedPrebuiltEntities("<language>", "<multilingual>", 1234, 1234, 1234, null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("category").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("description").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("examples").ToString());
+Console.WriteLine(result.GetProperty("nextLink").ToString());
+]]></code></example>
+    </member>
+    <member name="GetTrainingConfigVersionsAsync(ProjectKind,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainingConfigVersionsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<TrainingConfigVersions> response = await client.GetTrainingConfigVersionsAsync(ProjectKind.Conversation);
+]]></code>
+This sample shows how to call GetTrainingConfigVersionsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<TrainingConfigVersions> response = await client.GetTrainingConfigVersionsAsync(ProjectKind.Conversation, top: 1234, skip: 1234, maxpagesize: 1234);
+]]></code></example>
+    </member>
+    <member name="GetTrainingConfigVersions(ProjectKind,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainingConfigVersions.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<TrainingConfigVersions> response = client.GetTrainingConfigVersions(ProjectKind.Conversation);
+]]></code>
+This sample shows how to call GetTrainingConfigVersions with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<TrainingConfigVersions> response = client.GetTrainingConfigVersions(ProjectKind.Conversation, top: 1234, skip: 1234, maxpagesize: 1234);
+]]></code></example>
+    </member>
+    <member name="GetTrainingConfigVersionsAsync(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetTrainingConfigVersionsAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetTrainingConfigVersionsAsync("Conversation");
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("modelExpirationDate").ToString());
+]]></code>
+This sample shows how to call GetTrainingConfigVersionsAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetTrainingConfigVersionsAsync("Conversation", top: 1234, skip: 1234, maxpagesize: 1234);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("nextLink").ToString());
+]]></code></example>
+    </member>
+    <member name="GetTrainingConfigVersions(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetTrainingConfigVersions and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetTrainingConfigVersions("Conversation");
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("modelExpirationDate").ToString());
+]]></code>
+This sample shows how to call GetTrainingConfigVersions with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetTrainingConfigVersions("Conversation", top: 1234, skip: 1234, maxpagesize: 1234);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("value")[0].GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("nextLink").ToString());
+]]></code></example>
+    </member>
+    <member name="GetExportedModelAsync(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetExportedModelAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportedModelResponse> response = await client.GetExportedModelAsync("<projectName>", "<exportedModelName>");
+]]></code>
+This sample shows how to call GetExportedModelAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportedModelResponse> response = await client.GetExportedModelAsync("<projectName>", "<exportedModelName>");
+]]></code></example>
+    </member>
+    <member name="GetExportedModel(string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetExportedModel.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportedModelResponse> response = client.GetExportedModel("<projectName>", "<exportedModelName>");
+]]></code>
+This sample shows how to call GetExportedModel with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportedModelResponse> response = client.GetExportedModel("<projectName>", "<exportedModelName>");
+]]></code></example>
+    </member>
+    <member name="GetExportedModelAsync(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetExportedModelAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetExportedModelAsync("<projectName>", "<exportedModelName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+]]></code>
+This sample shows how to call GetExportedModelAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetExportedModelAsync("<projectName>", "<exportedModelName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+]]></code></example>
+    </member>
+    <member name="GetExportedModel(string,string,RequestContext)">
+      <example>
+This sample shows how to call GetExportedModel and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetExportedModel("<projectName>", "<exportedModelName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+]]></code>
+This sample shows how to call GetExportedModel with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetExportedModel("<projectName>", "<exportedModelName>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("modelId").ToString());
+Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+]]></code></example>
+    </member>
+    <member name="GetExportedModelJobStatusAsync(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetExportedModelJobStatusAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportedModelJobStatusResponse> response = await client.GetExportedModelJobStatusAsync("<projectName>", "<exportedModelName>", "<jobId>");
+]]></code>
+This sample shows how to call GetExportedModelJobStatusAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportedModelJobStatusResponse> response = await client.GetExportedModelJobStatusAsync("<projectName>", "<exportedModelName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetExportedModelJobStatus(string,string,string,CancellationToken)">
+      <example>
+This sample shows how to call GetExportedModelJobStatus.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportedModelJobStatusResponse> response = client.GetExportedModelJobStatus("<projectName>", "<exportedModelName>", "<jobId>");
+]]></code>
+This sample shows how to call GetExportedModelJobStatus with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response<GetExportedModelJobStatusResponse> response = client.GetExportedModelJobStatus("<projectName>", "<exportedModelName>", "<jobId>");
+]]></code></example>
+    </member>
+    <member name="GetExportedModelJobStatusAsync(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetExportedModelJobStatusAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetExportedModelJobStatusAsync("<projectName>", "<exportedModelName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetExportedModelJobStatusAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = await client.GetExportedModelJobStatusAsync("<projectName>", "<exportedModelName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetExportedModelJobStatus(string,string,string,RequestContext)">
+      <example>
+This sample shows how to call GetExportedModelJobStatus and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetExportedModelJobStatus("<projectName>", "<exportedModelName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+]]></code>
+This sample shows how to call GetExportedModelJobStatus with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Response response = client.GetExportedModelJobStatus("<projectName>", "<exportedModelName>", "<jobId>", null);
+
+JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+Console.WriteLine(result.GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+]]></code></example>
+    </member>
+    <member name="GetProjectsAsync(int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetProjectsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (ProjectMetadata item in client.GetProjectsAsync())
+{
+}
+]]></code>
+This sample shows how to call GetProjectsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (ProjectMetadata item in client.GetProjectsAsync(maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetProjects(int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetProjects.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (ProjectMetadata item in client.GetProjects())
+{
+}
+]]></code>
+This sample shows how to call GetProjects with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (ProjectMetadata item in client.GetProjects(maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetProjectsAsync(int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetProjectsAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetProjectsAsync(null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("projectKind").ToString());
+    Console.WriteLine(result.GetProperty("projectName").ToString());
+    Console.WriteLine(result.GetProperty("language").ToString());
+}
+]]></code>
+This sample shows how to call GetProjectsAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetProjectsAsync(1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("projectKind").ToString());
+    Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+    Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+    Console.WriteLine(result.GetProperty("projectName").ToString());
+    Console.WriteLine(result.GetProperty("multilingual").ToString());
+    Console.WriteLine(result.GetProperty("description").ToString());
+    Console.WriteLine(result.GetProperty("language").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetProjects(int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetProjects and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetProjects(null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("projectKind").ToString());
+    Console.WriteLine(result.GetProperty("projectName").ToString());
+    Console.WriteLine(result.GetProperty("language").ToString());
+}
+]]></code>
+This sample shows how to call GetProjects with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetProjects(1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("projectKind").ToString());
+    Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+    Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+    Console.WriteLine(result.GetProperty("projectName").ToString());
+    Console.WriteLine(result.GetProperty("multilingual").ToString());
+    Console.WriteLine(result.GetProperty("description").ToString());
+    Console.WriteLine(result.GetProperty("language").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetDeploymentsAsync(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetDeploymentsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (ProjectDeployment item in client.GetDeploymentsAsync("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetDeploymentsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (ProjectDeployment item in client.GetDeploymentsAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetDeployments(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetDeployments.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (ProjectDeployment item in client.GetDeployments("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetDeployments with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (ProjectDeployment item in client.GetDeployments("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetDeploymentsAsync(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetDeploymentsAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetDeploymentsAsync("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("deploymentName").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+    Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+}
+]]></code>
+This sample shows how to call GetDeploymentsAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetDeploymentsAsync("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("deploymentName").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+    Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetDeployments(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetDeployments and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetDeployments("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("deploymentName").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+    Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+}
+]]></code>
+This sample shows how to call GetDeployments with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetDeployments("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("deploymentName").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+    Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainedModelsAsync(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainedModelsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (ProjectTrainedModel item in client.GetTrainedModelsAsync("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetTrainedModelsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (ProjectTrainedModel item in client.GetTrainedModelsAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainedModels(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainedModels.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (ProjectTrainedModel item in client.GetTrainedModels("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetTrainedModels with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (ProjectTrainedModel item in client.GetTrainedModels("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainedModelsAsync(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetTrainedModelsAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetTrainedModelsAsync("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("label").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+}
+]]></code>
+This sample shows how to call GetTrainedModelsAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetTrainedModelsAsync("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("label").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainedModels(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetTrainedModels and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetTrainedModels("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("label").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+}
+]]></code>
+This sample shows how to call GetTrainedModels with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetTrainedModels("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("label").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetModelEvaluationResultsAsync(string,string,StringIndexType,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetModelEvaluationResultsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (UtteranceEvaluationResult item in client.GetModelEvaluationResultsAsync("<projectName>", "<trainedModelLabel>", StringIndexType.Utf16CodeUnit))
+{
+}
+]]></code>
+This sample shows how to call GetModelEvaluationResultsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (UtteranceEvaluationResult item in client.GetModelEvaluationResultsAsync("<projectName>", "<trainedModelLabel>", StringIndexType.Utf16CodeUnit, maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetModelEvaluationResults(string,string,StringIndexType,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetModelEvaluationResults.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (UtteranceEvaluationResult item in client.GetModelEvaluationResults("<projectName>", "<trainedModelLabel>", StringIndexType.Utf16CodeUnit))
+{
+}
+]]></code>
+This sample shows how to call GetModelEvaluationResults with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (UtteranceEvaluationResult item in client.GetModelEvaluationResults("<projectName>", "<trainedModelLabel>", StringIndexType.Utf16CodeUnit, maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetModelEvaluationResultsAsync(string,string,string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetModelEvaluationResultsAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetModelEvaluationResultsAsync("<projectName>", "<trainedModelLabel>", "Utf16CodeUnit"))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("text").ToString());
+    Console.WriteLine(result.GetProperty("language").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("category").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("offset").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("length").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("category").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("offset").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("length").ToString());
+    Console.WriteLine(result.GetProperty("intentsResult").GetProperty("expectedIntent").ToString());
+    Console.WriteLine(result.GetProperty("intentsResult").GetProperty("predictedIntent").ToString());
+}
+]]></code>
+This sample shows how to call GetModelEvaluationResultsAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetModelEvaluationResultsAsync("<projectName>", "<trainedModelLabel>", "Utf16CodeUnit", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("text").ToString());
+    Console.WriteLine(result.GetProperty("language").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("category").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("offset").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("length").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("category").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("offset").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("length").ToString());
+    Console.WriteLine(result.GetProperty("intentsResult").GetProperty("expectedIntent").ToString());
+    Console.WriteLine(result.GetProperty("intentsResult").GetProperty("predictedIntent").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetModelEvaluationResults(string,string,string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetModelEvaluationResults and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetModelEvaluationResults("<projectName>", "<trainedModelLabel>", "Utf16CodeUnit"))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("text").ToString());
+    Console.WriteLine(result.GetProperty("language").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("category").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("offset").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("length").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("category").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("offset").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("length").ToString());
+    Console.WriteLine(result.GetProperty("intentsResult").GetProperty("expectedIntent").ToString());
+    Console.WriteLine(result.GetProperty("intentsResult").GetProperty("predictedIntent").ToString());
+}
+]]></code>
+This sample shows how to call GetModelEvaluationResults with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetModelEvaluationResults("<projectName>", "<trainedModelLabel>", "Utf16CodeUnit", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("text").ToString());
+    Console.WriteLine(result.GetProperty("language").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("category").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("offset").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("length").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("category").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("offset").ToString());
+    Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("length").ToString());
+    Console.WriteLine(result.GetProperty("intentsResult").GetProperty("expectedIntent").ToString());
+    Console.WriteLine(result.GetProperty("intentsResult").GetProperty("predictedIntent").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetDeploymentResourcesAsync(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetDeploymentResourcesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (AssignedDeploymentResource item in client.GetDeploymentResourcesAsync("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetDeploymentResourcesAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (AssignedDeploymentResource item in client.GetDeploymentResourcesAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetDeploymentResources(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetDeploymentResources.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (AssignedDeploymentResource item in client.GetDeploymentResources("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetDeploymentResources with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (AssignedDeploymentResource item in client.GetDeploymentResources("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetDeploymentResourcesAsync(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetDeploymentResourcesAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetDeploymentResourcesAsync("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("azureResourceId").ToString());
+    Console.WriteLine(result.GetProperty("region").ToString());
+}
+]]></code>
+This sample shows how to call GetDeploymentResourcesAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetDeploymentResourcesAsync("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("azureResourceId").ToString());
+    Console.WriteLine(result.GetProperty("region").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetDeploymentResources(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetDeploymentResources and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetDeploymentResources("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("azureResourceId").ToString());
+    Console.WriteLine(result.GetProperty("region").ToString());
+}
+]]></code>
+This sample shows how to call GetDeploymentResources with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetDeploymentResources("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("azureResourceId").ToString());
+    Console.WriteLine(result.GetProperty("region").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainingJobsAsync(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainingJobsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (TrainingJobState item in client.GetTrainingJobsAsync("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetTrainingJobsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (TrainingJobState item in client.GetTrainingJobsAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainingJobs(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetTrainingJobs.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (TrainingJobState item in client.GetTrainingJobs("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetTrainingJobs with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (TrainingJobState item in client.GetTrainingJobs("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainingJobsAsync(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetTrainingJobsAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetTrainingJobsAsync("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("jobId").ToString());
+    Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("status").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+}
+]]></code>
+This sample shows how to call GetTrainingJobsAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetTrainingJobsAsync("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("jobId").ToString());
+    Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+    Console.WriteLine(result.GetProperty("status").ToString());
+    Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingMode").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("status").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("estimatedEndDateTime").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetTrainingJobs(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetTrainingJobs and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetTrainingJobs("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("jobId").ToString());
+    Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("status").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+}
+]]></code>
+This sample shows how to call GetTrainingJobs with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetTrainingJobs("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("jobId").ToString());
+    Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+    Console.WriteLine(result.GetProperty("status").ToString());
+    Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+    Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingMode").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("status").ToString());
+    Console.WriteLine(result.GetProperty("result").GetProperty("estimatedEndDateTime").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetExportedModelsAsync(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetExportedModelsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (ExportedTrainedModel item in client.GetExportedModelsAsync("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetExportedModelsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (ExportedTrainedModel item in client.GetExportedModelsAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetExportedModels(string,int?,int?,int?,CancellationToken)">
+      <example>
+This sample shows how to call GetExportedModels.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (ExportedTrainedModel item in client.GetExportedModels("<projectName>"))
+{
+}
+]]></code>
+This sample shows how to call GetExportedModels with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (ExportedTrainedModel item in client.GetExportedModels("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+{
+}
+]]></code></example>
+    </member>
+    <member name="GetExportedModelsAsync(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetExportedModelsAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetExportedModelsAsync("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("exportedModelName").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+}
+]]></code>
+This sample shows how to call GetExportedModelsAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+await foreach (BinaryData item in client.GetExportedModelsAsync("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("exportedModelName").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="GetExportedModels(string,int?,int?,int?,RequestContext)">
+      <example>
+This sample shows how to call GetExportedModels and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetExportedModels("<projectName>", null, null, null, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("exportedModelName").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+}
+]]></code>
+This sample shows how to call GetExportedModels with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+foreach (BinaryData item in client.GetExportedModels("<projectName>", 1234, 1234, 1234, null))
+{
+    JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+    Console.WriteLine(result.GetProperty("exportedModelName").ToString());
+    Console.WriteLine(result.GetProperty("modelId").ToString());
+    Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+    Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+    Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+    Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+}
+]]></code></example>
+    </member>
+    <member name="DeleteProjectAsync(WaitUntil,string,RequestContext)">
+      <example>
+This sample shows how to call DeleteProjectAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.DeleteProjectAsync(WaitUntil.Completed, "<projectName>");
+]]></code>
+This sample shows how to call DeleteProjectAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.DeleteProjectAsync(WaitUntil.Completed, "<projectName>");
+]]></code></example>
+    </member>
+    <member name="DeleteProject(WaitUntil,string,RequestContext)">
+      <example>
+This sample shows how to call DeleteProject.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.DeleteProject(WaitUntil.Completed, "<projectName>");
+]]></code>
+This sample shows how to call DeleteProject with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.DeleteProject(WaitUntil.Completed, "<projectName>");
+]]></code></example>
+    </member>
+    <member name="CopyProjectAsync(WaitUntil,string,CopyProjectConfig,CancellationToken)">
+      <example>
+This sample shows how to call CopyProjectAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+CopyProjectConfig body = new CopyProjectConfig(
+ProjectKind.Conversation,
+"<targetProjectName>",
+"<accessToken>",
+DateTimeOffset.Parse("2022-05-10T18:57:31.2311892Z"),
+"<targetResourceId>",
+"<targetResourceRegion>");
+Operation operation = await client.CopyProjectAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call CopyProjectAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+CopyProjectConfig body = new CopyProjectConfig(
+ProjectKind.Conversation,
+"<targetProjectName>",
+"<accessToken>",
+DateTimeOffset.Parse("2022-05-10T18:57:31.2311892Z"),
+"<targetResourceId>",
+"<targetResourceRegion>");
+Operation operation = await client.CopyProjectAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code></example>
+    </member>
+    <member name="CopyProject(WaitUntil,string,CopyProjectConfig,CancellationToken)">
+      <example>
+This sample shows how to call CopyProject.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+CopyProjectConfig body = new CopyProjectConfig(
+ProjectKind.Conversation,
+"<targetProjectName>",
+"<accessToken>",
+DateTimeOffset.Parse("2022-05-10T18:57:31.2311892Z"),
+"<targetResourceId>",
+"<targetResourceRegion>");
+Operation operation = client.CopyProject(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call CopyProject with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+CopyProjectConfig body = new CopyProjectConfig(
+ProjectKind.Conversation,
+"<targetProjectName>",
+"<accessToken>",
+DateTimeOffset.Parse("2022-05-10T18:57:31.2311892Z"),
+"<targetResourceId>",
+"<targetResourceRegion>");
+Operation operation = client.CopyProject(WaitUntil.Completed, "<projectName>", body);
+]]></code></example>
+    </member>
+    <member name="CopyProjectAsync(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call CopyProjectAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "Conversation",
+    targetProjectName = "<targetProjectName>",
+    accessToken = "<accessToken>",
+    expiresAt = "2022-05-10T18:57:31.2311892Z",
+    targetResourceId = "<targetResourceId>",
+    targetResourceRegion = "<targetResourceRegion>",
+});
+Operation operation = await client.CopyProjectAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call CopyProjectAsync with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "Conversation",
+    targetProjectName = "<targetProjectName>",
+    accessToken = "<accessToken>",
+    expiresAt = "2022-05-10T18:57:31.2311892Z",
+    targetResourceId = "<targetResourceId>",
+    targetResourceRegion = "<targetResourceRegion>",
+});
+Operation operation = await client.CopyProjectAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code></example>
+    </member>
+    <member name="CopyProject(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call CopyProject.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "Conversation",
+    targetProjectName = "<targetProjectName>",
+    accessToken = "<accessToken>",
+    expiresAt = "2022-05-10T18:57:31.2311892Z",
+    targetResourceId = "<targetResourceId>",
+    targetResourceRegion = "<targetResourceRegion>",
+});
+Operation operation = client.CopyProject(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call CopyProject with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectKind = "Conversation",
+    targetProjectName = "<targetProjectName>",
+    accessToken = "<accessToken>",
+    expiresAt = "2022-05-10T18:57:31.2311892Z",
+    targetResourceId = "<targetResourceId>",
+    targetResourceRegion = "<targetResourceRegion>",
+});
+Operation operation = client.CopyProject(WaitUntil.Completed, "<projectName>", content);
+]]></code></example>
+    </member>
+    <member name="ExportAsync(WaitUntil,string,StringIndexType,ExportedProjectFormat?,string,string,CancellationToken)">
+      <example>
+This sample shows how to call ExportAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.ExportAsync(WaitUntil.Completed, "<projectName>", StringIndexType.Utf16CodeUnit);
+]]></code>
+This sample shows how to call ExportAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.ExportAsync(WaitUntil.Completed, "<projectName>", StringIndexType.Utf16CodeUnit, exportedProjectFormat: ExportedProjectFormat.Conversation, assetKind: "<assetKind>", trainedModelLabel: "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="Export(WaitUntil,string,StringIndexType,ExportedProjectFormat?,string,string,CancellationToken)">
+      <example>
+This sample shows how to call Export.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.Export(WaitUntil.Completed, "<projectName>", StringIndexType.Utf16CodeUnit);
+]]></code>
+This sample shows how to call Export with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.Export(WaitUntil.Completed, "<projectName>", StringIndexType.Utf16CodeUnit, exportedProjectFormat: ExportedProjectFormat.Conversation, assetKind: "<assetKind>", trainedModelLabel: "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="ExportAsync(WaitUntil,string,string,string,string,string,RequestContext)">
+      <example>
+This sample shows how to call ExportAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.ExportAsync(WaitUntil.Completed, "<projectName>", "Utf16CodeUnit");
+]]></code>
+This sample shows how to call ExportAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.ExportAsync(WaitUntil.Completed, "<projectName>", "Utf16CodeUnit", exportedProjectFormat: "Conversation", assetKind: "<assetKind>", trainedModelLabel: "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="Export(WaitUntil,string,string,string,string,string,RequestContext)">
+      <example>
+This sample shows how to call Export.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.Export(WaitUntil.Completed, "<projectName>", "Utf16CodeUnit");
+]]></code>
+This sample shows how to call Export with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.Export(WaitUntil.Completed, "<projectName>", "Utf16CodeUnit", exportedProjectFormat: "Conversation", assetKind: "<assetKind>", trainedModelLabel: "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="ImportAsync(WaitUntil,string,ExportedProject,ExportedProjectFormat?,CancellationToken)">
+      <example>
+This sample shows how to call ImportAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+ExportedProject body = new ExportedProject("<projectFileVersion>", StringIndexType.Utf16CodeUnit, new CreateProjectConfig(ProjectKind.Conversation, "<projectName>", "<language>"));
+Operation operation = await client.ImportAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call ImportAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+ExportedProject body = new ExportedProject("<projectFileVersion>", StringIndexType.Utf16CodeUnit, new CreateProjectConfig(ProjectKind.Conversation, "<projectName>", "<language>")
+{
+    Settings = new ProjectSettings(123.45F),
+    StorageInputContainerName = "<storageInputContainerName>",
+    Multilingual = true,
+    Description = "<description>",
+})
+{
+    Assets = new ConversationExportedProjectAssets
+    {
+        Intents = { new ConversationExportedIntent("<category>") },
+        Entities = {new ConversationExportedEntity("<category>")
+        {
+            CompositionSetting = CompositionSetting.ReturnLongestOverlap,
+            List = new ExportedEntityList
+            {
+                Sublists = {new ExportedEntitySublist
+                {
+                    ListKey = "<listKey>",
+                    Synonyms = {new ExportedEntityListSynonym
+                    {
+                        Language = "<language>",
+                        Values = {"<values>"},
+                    }},
+                }},
+            },
+            Prebuilts = {new ExportedPrebuiltEntity("<category>")},
+            Regex = new ExportedEntityRegex
+            {
+                Expressions = {new ExportedEntityRegexExpression
+                {
+                    RegexKey = "<regexKey>",
+                    Language = "<language>",
+                    RegexPattern = "<regexPattern>",
+                }},
+            },
+            RequiredComponents = {"<requiredComponents>"},
+        }},
+        Utterances = {new ConversationExportedUtterance("<text>", "<intent>")
+        {
+            Entities = {new ExportedUtteranceEntityLabel("<category>", 1234, 1234)},
+            Language = "<language>",
+            Dataset = "<dataset>",
+        }},
+    },
+};
+Operation operation = await client.ImportAsync(WaitUntil.Completed, "<projectName>", body, exportedProjectFormat: ExportedProjectFormat.Conversation);
+]]></code></example>
+    </member>
+    <member name="Import(WaitUntil,string,ExportedProject,ExportedProjectFormat?,CancellationToken)">
+      <example>
+This sample shows how to call Import.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+ExportedProject body = new ExportedProject("<projectFileVersion>", StringIndexType.Utf16CodeUnit, new CreateProjectConfig(ProjectKind.Conversation, "<projectName>", "<language>"));
+Operation operation = client.Import(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call Import with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+ExportedProject body = new ExportedProject("<projectFileVersion>", StringIndexType.Utf16CodeUnit, new CreateProjectConfig(ProjectKind.Conversation, "<projectName>", "<language>")
+{
+    Settings = new ProjectSettings(123.45F),
+    StorageInputContainerName = "<storageInputContainerName>",
+    Multilingual = true,
+    Description = "<description>",
+})
+{
+    Assets = new ConversationExportedProjectAssets
+    {
+        Intents = { new ConversationExportedIntent("<category>") },
+        Entities = {new ConversationExportedEntity("<category>")
+        {
+            CompositionSetting = CompositionSetting.ReturnLongestOverlap,
+            List = new ExportedEntityList
+            {
+                Sublists = {new ExportedEntitySublist
+                {
+                    ListKey = "<listKey>",
+                    Synonyms = {new ExportedEntityListSynonym
+                    {
+                        Language = "<language>",
+                        Values = {"<values>"},
+                    }},
+                }},
+            },
+            Prebuilts = {new ExportedPrebuiltEntity("<category>")},
+            Regex = new ExportedEntityRegex
+            {
+                Expressions = {new ExportedEntityRegexExpression
+                {
+                    RegexKey = "<regexKey>",
+                    Language = "<language>",
+                    RegexPattern = "<regexPattern>",
+                }},
+            },
+            RequiredComponents = {"<requiredComponents>"},
+        }},
+        Utterances = {new ConversationExportedUtterance("<text>", "<intent>")
+        {
+            Entities = {new ExportedUtteranceEntityLabel("<category>", 1234, 1234)},
+            Language = "<language>",
+            Dataset = "<dataset>",
+        }},
+    },
+};
+Operation operation = client.Import(WaitUntil.Completed, "<projectName>", body, exportedProjectFormat: ExportedProjectFormat.Conversation);
+]]></code></example>
+    </member>
+    <member name="ImportAsync(WaitUntil,string,RequestContent,string,RequestContext)">
+      <example>
+This sample shows how to call ImportAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectFileVersion = "<projectFileVersion>",
+    stringIndexType = "Utf16CodeUnit",
+    metadata = new
+    {
+        projectKind = "Conversation",
+        projectName = "<projectName>",
+        language = "<language>",
+    },
+});
+Operation operation = await client.ImportAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call ImportAsync with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectFileVersion = "<projectFileVersion>",
+    stringIndexType = "Utf16CodeUnit",
+    metadata = new
+    {
+        projectKind = "Conversation",
+        settings = new
+        {
+            confidenceThreshold = 123.45F,
+        },
+        storageInputContainerName = "<storageInputContainerName>",
+        projectName = "<projectName>",
+        multilingual = true,
+        description = "<description>",
+        language = "<language>",
+    },
+    assets = new
+    {
+        intents = new object[]
+        {
+            new
+            {
+                category = "<category>",
+            }
+        },
+        entities = new object[]
+        {
+            new
+            {
+                category = "<category>",
+                compositionSetting = "returnLongestOverlap",
+                list = new
+                {
+                    sublists = new object[]
+                    {
+                        new
+                        {
+                            listKey = "<listKey>",
+                            synonyms = new object[]
+                            {
+                                new
+                                {
+                                    language = "<language>",
+                                    values = new object[]
+                                    {
+                                        "<values>"
+                                    },
+                                }
+                            },
+                        }
+                    },
+                },
+                prebuilts = new object[]
+                {
+                    new
+                    {
+                        category = "<category>",
+                    }
+                },
+                regex = new
+                {
+                    expressions = new object[]
+                    {
+                        new
+                        {
+                            regexKey = "<regexKey>",
+                            language = "<language>",
+                            regexPattern = "<regexPattern>",
+                        }
+                    },
+                },
+                requiredComponents = new object[]
+                {
+                    "<requiredComponents>"
+                },
+            }
+        },
+        utterances = new object[]
+        {
+            new
+            {
+                entities = new object[]
+                {
+                    new
+                    {
+                        category = "<category>",
+                        offset = 1234,
+                        length = 1234,
+                    }
+                },
+                text = "<text>",
+                language = "<language>",
+                intent = "<intent>",
+                dataset = "<dataset>",
+            }
+        },
+        projectKind = "Conversation",
+    },
+});
+Operation operation = await client.ImportAsync(WaitUntil.Completed, "<projectName>", content, exportedProjectFormat: "Conversation");
+]]></code></example>
+    </member>
+    <member name="Import(WaitUntil,string,RequestContent,string,RequestContext)">
+      <example>
+This sample shows how to call Import.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectFileVersion = "<projectFileVersion>",
+    stringIndexType = "Utf16CodeUnit",
+    metadata = new
+    {
+        projectKind = "Conversation",
+        projectName = "<projectName>",
+        language = "<language>",
+    },
+});
+Operation operation = client.Import(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call Import with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    projectFileVersion = "<projectFileVersion>",
+    stringIndexType = "Utf16CodeUnit",
+    metadata = new
+    {
+        projectKind = "Conversation",
+        settings = new
+        {
+            confidenceThreshold = 123.45F,
+        },
+        storageInputContainerName = "<storageInputContainerName>",
+        projectName = "<projectName>",
+        multilingual = true,
+        description = "<description>",
+        language = "<language>",
+    },
+    assets = new
+    {
+        intents = new object[]
+        {
+            new
+            {
+                category = "<category>",
+            }
+        },
+        entities = new object[]
+        {
+            new
+            {
+                category = "<category>",
+                compositionSetting = "returnLongestOverlap",
+                list = new
+                {
+                    sublists = new object[]
+                    {
+                        new
+                        {
+                            listKey = "<listKey>",
+                            synonyms = new object[]
+                            {
+                                new
+                                {
+                                    language = "<language>",
+                                    values = new object[]
+                                    {
+                                        "<values>"
+                                    },
+                                }
+                            },
+                        }
+                    },
+                },
+                prebuilts = new object[]
+                {
+                    new
+                    {
+                        category = "<category>",
+                    }
+                },
+                regex = new
+                {
+                    expressions = new object[]
+                    {
+                        new
+                        {
+                            regexKey = "<regexKey>",
+                            language = "<language>",
+                            regexPattern = "<regexPattern>",
+                        }
+                    },
+                },
+                requiredComponents = new object[]
+                {
+                    "<requiredComponents>"
+                },
+            }
+        },
+        utterances = new object[]
+        {
+            new
+            {
+                entities = new object[]
+                {
+                    new
+                    {
+                        category = "<category>",
+                        offset = 1234,
+                        length = 1234,
+                    }
+                },
+                text = "<text>",
+                language = "<language>",
+                intent = "<intent>",
+                dataset = "<dataset>",
+            }
+        },
+        projectKind = "Conversation",
+    },
+});
+Operation operation = client.Import(WaitUntil.Completed, "<projectName>", content, exportedProjectFormat: "Conversation");
+]]></code></example>
+    </member>
+    <member name="TrainAsync(WaitUntil,string,TrainingJobConfig,CancellationToken)">
+      <example>
+This sample shows how to call TrainAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+TrainingJobConfig body = new TrainingJobConfig("<modelLabel>", TrainingMode.Advanced);
+Operation<TrainingJobResult> operation = await client.TrainAsync(WaitUntil.Completed, "<projectName>", body);
+TrainingJobResult responseData = operation.Value;
+]]></code>
+This sample shows how to call TrainAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+TrainingJobConfig body = new TrainingJobConfig("<modelLabel>", TrainingMode.Advanced)
+{
+    TrainingConfigVersion = "<trainingConfigVersion>",
+    EvaluationOptions = new EvaluationConfig
+    {
+        Kind = EvaluationKind.Percentage,
+        TrainingSplitPercentage = 1234,
+        TestingSplitPercentage = 1234,
+    },
+};
+Operation<TrainingJobResult> operation = await client.TrainAsync(WaitUntil.Completed, "<projectName>", body);
+TrainingJobResult responseData = operation.Value;
+]]></code></example>
+    </member>
+    <member name="Train(WaitUntil,string,TrainingJobConfig,CancellationToken)">
+      <example>
+This sample shows how to call Train.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+TrainingJobConfig body = new TrainingJobConfig("<modelLabel>", TrainingMode.Advanced);
+Operation<TrainingJobResult> operation = client.Train(WaitUntil.Completed, "<projectName>", body);
+TrainingJobResult responseData = operation.Value;
+]]></code>
+This sample shows how to call Train with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+TrainingJobConfig body = new TrainingJobConfig("<modelLabel>", TrainingMode.Advanced)
+{
+    TrainingConfigVersion = "<trainingConfigVersion>",
+    EvaluationOptions = new EvaluationConfig
+    {
+        Kind = EvaluationKind.Percentage,
+        TrainingSplitPercentage = 1234,
+        TestingSplitPercentage = 1234,
+    },
+};
+Operation<TrainingJobResult> operation = client.Train(WaitUntil.Completed, "<projectName>", body);
+TrainingJobResult responseData = operation.Value;
+]]></code></example>
+    </member>
+    <member name="TrainAsync(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call TrainAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    modelLabel = "<modelLabel>",
+    trainingMode = "advanced",
+});
+Operation<BinaryData> operation = await client.TrainAsync(WaitUntil.Completed, "<projectName>", content);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+]]></code>
+This sample shows how to call TrainAsync with all parameters and request content and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    modelLabel = "<modelLabel>",
+    trainingConfigVersion = "<trainingConfigVersion>",
+    trainingMode = "advanced",
+    evaluationOptions = new
+    {
+        kind = "percentage",
+        trainingSplitPercentage = 1234,
+        testingSplitPercentage = 1234,
+    },
+});
+Operation<BinaryData> operation = await client.TrainAsync(WaitUntil.Completed, "<projectName>", content);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("trainingMode").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("estimatedEndDateTime").ToString());
+]]></code></example>
+    </member>
+    <member name="Train(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call Train and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    modelLabel = "<modelLabel>",
+    trainingMode = "advanced",
+});
+Operation<BinaryData> operation = client.Train(WaitUntil.Completed, "<projectName>", content);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+]]></code>
+This sample shows how to call Train with all parameters and request content and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    modelLabel = "<modelLabel>",
+    trainingConfigVersion = "<trainingConfigVersion>",
+    trainingMode = "advanced",
+    evaluationOptions = new
+    {
+        kind = "percentage",
+        trainingSplitPercentage = 1234,
+        testingSplitPercentage = 1234,
+    },
+});
+Operation<BinaryData> operation = client.Train(WaitUntil.Completed, "<projectName>", content);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("trainingMode").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("estimatedEndDateTime").ToString());
+]]></code></example>
+    </member>
+    <member name="SwapDeploymentsAsync(WaitUntil,string,SwapDeploymentsConfig,CancellationToken)">
+      <example>
+This sample shows how to call SwapDeploymentsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+SwapDeploymentsConfig body = new SwapDeploymentsConfig("<firstDeploymentName>", "<secondDeploymentName>");
+Operation operation = await client.SwapDeploymentsAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call SwapDeploymentsAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+SwapDeploymentsConfig body = new SwapDeploymentsConfig("<firstDeploymentName>", "<secondDeploymentName>");
+Operation operation = await client.SwapDeploymentsAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code></example>
+    </member>
+    <member name="SwapDeployments(WaitUntil,string,SwapDeploymentsConfig,CancellationToken)">
+      <example>
+This sample shows how to call SwapDeployments.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+SwapDeploymentsConfig body = new SwapDeploymentsConfig("<firstDeploymentName>", "<secondDeploymentName>");
+Operation operation = client.SwapDeployments(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call SwapDeployments with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+SwapDeploymentsConfig body = new SwapDeploymentsConfig("<firstDeploymentName>", "<secondDeploymentName>");
+Operation operation = client.SwapDeployments(WaitUntil.Completed, "<projectName>", body);
+]]></code></example>
+    </member>
+    <member name="SwapDeploymentsAsync(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call SwapDeploymentsAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    firstDeploymentName = "<firstDeploymentName>",
+    secondDeploymentName = "<secondDeploymentName>",
+});
+Operation operation = await client.SwapDeploymentsAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call SwapDeploymentsAsync with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    firstDeploymentName = "<firstDeploymentName>",
+    secondDeploymentName = "<secondDeploymentName>",
+});
+Operation operation = await client.SwapDeploymentsAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code></example>
+    </member>
+    <member name="SwapDeployments(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call SwapDeployments.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    firstDeploymentName = "<firstDeploymentName>",
+    secondDeploymentName = "<secondDeploymentName>",
+});
+Operation operation = client.SwapDeployments(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call SwapDeployments with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    firstDeploymentName = "<firstDeploymentName>",
+    secondDeploymentName = "<secondDeploymentName>",
+});
+Operation operation = client.SwapDeployments(WaitUntil.Completed, "<projectName>", content);
+]]></code></example>
+    </member>
+    <member name="DeployProjectAsync(WaitUntil,string,string,CreateDeploymentConfig,CancellationToken)">
+      <example>
+This sample shows how to call DeployProjectAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+CreateDeploymentConfig body = new CreateDeploymentConfig("<trainedModelLabel>");
+Operation operation = await client.DeployProjectAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+]]></code>
+This sample shows how to call DeployProjectAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+CreateDeploymentConfig body = new CreateDeploymentConfig("<trainedModelLabel>")
+{
+    AssignedResourceIds = { "<assignedResourceIds>" },
+};
+Operation operation = await client.DeployProjectAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+]]></code></example>
+    </member>
+    <member name="DeployProject(WaitUntil,string,string,CreateDeploymentConfig,CancellationToken)">
+      <example>
+This sample shows how to call DeployProject.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+CreateDeploymentConfig body = new CreateDeploymentConfig("<trainedModelLabel>");
+Operation operation = client.DeployProject(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+]]></code>
+This sample shows how to call DeployProject with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+CreateDeploymentConfig body = new CreateDeploymentConfig("<trainedModelLabel>")
+{
+    AssignedResourceIds = { "<assignedResourceIds>" },
+};
+Operation operation = client.DeployProject(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+]]></code></example>
+    </member>
+    <member name="DeployProjectAsync(WaitUntil,string,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call DeployProjectAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    trainedModelLabel = "<trainedModelLabel>",
+});
+Operation operation = await client.DeployProjectAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+]]></code>
+This sample shows how to call DeployProjectAsync with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    trainedModelLabel = "<trainedModelLabel>",
+    assignedResourceIds = new object[]
+    {
+        "<assignedResourceIds>"
+    },
+});
+Operation operation = await client.DeployProjectAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+]]></code></example>
+    </member>
+    <member name="DeployProject(WaitUntil,string,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call DeployProject.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    trainedModelLabel = "<trainedModelLabel>",
+});
+Operation operation = client.DeployProject(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+]]></code>
+This sample shows how to call DeployProject with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    trainedModelLabel = "<trainedModelLabel>",
+    assignedResourceIds = new object[]
+    {
+        "<assignedResourceIds>"
+    },
+});
+Operation operation = client.DeployProject(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+]]></code></example>
+    </member>
+    <member name="DeleteDeploymentAsync(WaitUntil,string,string,RequestContext)">
+      <example>
+This sample shows how to call DeleteDeploymentAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.DeleteDeploymentAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>");
+]]></code>
+This sample shows how to call DeleteDeploymentAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.DeleteDeploymentAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>");
+]]></code></example>
+    </member>
+    <member name="DeleteDeployment(WaitUntil,string,string,RequestContext)">
+      <example>
+This sample shows how to call DeleteDeployment.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.DeleteDeployment(WaitUntil.Completed, "<projectName>", "<deploymentName>");
+]]></code>
+This sample shows how to call DeleteDeployment with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.DeleteDeployment(WaitUntil.Completed, "<projectName>", "<deploymentName>");
+]]></code></example>
+    </member>
+    <member name="DeleteDeploymentFromResourcesAsync(WaitUntil,string,string,DeleteDeploymentConfig,CancellationToken)">
+      <example>
+This sample shows how to call DeleteDeploymentFromResourcesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+DeleteDeploymentConfig body = new DeleteDeploymentConfig();
+Operation operation = await client.DeleteDeploymentFromResourcesAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+]]></code>
+This sample shows how to call DeleteDeploymentFromResourcesAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+DeleteDeploymentConfig body = new DeleteDeploymentConfig
+{
+    AssignedResourceIds = { "<assignedResourceIds>" },
+};
+Operation operation = await client.DeleteDeploymentFromResourcesAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+]]></code></example>
+    </member>
+    <member name="DeleteDeploymentFromResources(WaitUntil,string,string,DeleteDeploymentConfig,CancellationToken)">
+      <example>
+This sample shows how to call DeleteDeploymentFromResources.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+DeleteDeploymentConfig body = new DeleteDeploymentConfig();
+Operation operation = client.DeleteDeploymentFromResources(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+]]></code>
+This sample shows how to call DeleteDeploymentFromResources with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+DeleteDeploymentConfig body = new DeleteDeploymentConfig
+{
+    AssignedResourceIds = { "<assignedResourceIds>" },
+};
+Operation operation = client.DeleteDeploymentFromResources(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+]]></code></example>
+    </member>
+    <member name="DeleteDeploymentFromResourcesAsync(WaitUntil,string,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call DeleteDeploymentFromResourcesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new object());
+Operation operation = await client.DeleteDeploymentFromResourcesAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+]]></code>
+This sample shows how to call DeleteDeploymentFromResourcesAsync with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    assignedResourceIds = new object[]
+    {
+        "<assignedResourceIds>"
+    },
+});
+Operation operation = await client.DeleteDeploymentFromResourcesAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+]]></code></example>
+    </member>
+    <member name="DeleteDeploymentFromResources(WaitUntil,string,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call DeleteDeploymentFromResources.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new object());
+Operation operation = client.DeleteDeploymentFromResources(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+]]></code>
+This sample shows how to call DeleteDeploymentFromResources with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    assignedResourceIds = new object[]
+    {
+        "<assignedResourceIds>"
+    },
+});
+Operation operation = client.DeleteDeploymentFromResources(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+]]></code></example>
+    </member>
+    <member name="EvaluateModelAsync(WaitUntil,string,string,EvaluationConfig,CancellationToken)">
+      <example>
+This sample shows how to call EvaluateModelAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+EvaluationConfig body = new EvaluationConfig();
+Operation<EvaluationJobResult> operation = await client.EvaluateModelAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", body);
+EvaluationJobResult responseData = operation.Value;
+]]></code>
+This sample shows how to call EvaluateModelAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+EvaluationConfig body = new EvaluationConfig
+{
+    Kind = EvaluationKind.Percentage,
+    TrainingSplitPercentage = 1234,
+    TestingSplitPercentage = 1234,
+};
+Operation<EvaluationJobResult> operation = await client.EvaluateModelAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", body);
+EvaluationJobResult responseData = operation.Value;
+]]></code></example>
+    </member>
+    <member name="EvaluateModel(WaitUntil,string,string,EvaluationConfig,CancellationToken)">
+      <example>
+This sample shows how to call EvaluateModel.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+EvaluationConfig body = new EvaluationConfig();
+Operation<EvaluationJobResult> operation = client.EvaluateModel(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", body);
+EvaluationJobResult responseData = operation.Value;
+]]></code>
+This sample shows how to call EvaluateModel with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+EvaluationConfig body = new EvaluationConfig
+{
+    Kind = EvaluationKind.Percentage,
+    TrainingSplitPercentage = 1234,
+    TestingSplitPercentage = 1234,
+};
+Operation<EvaluationJobResult> operation = client.EvaluateModel(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", body);
+EvaluationJobResult responseData = operation.Value;
+]]></code></example>
+    </member>
+    <member name="EvaluateModelAsync(WaitUntil,string,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call EvaluateModelAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new object());
+Operation<BinaryData> operation = await client.EvaluateModelAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", content);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("evaluationOptions").ToString());
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("percentComplete").ToString());
+]]></code>
+This sample shows how to call EvaluateModelAsync with all parameters and request content and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    kind = "percentage",
+    trainingSplitPercentage = 1234,
+    testingSplitPercentage = 1234,
+});
+Operation<BinaryData> operation = await client.EvaluateModelAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", content);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("kind").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("percentComplete").ToString());
+]]></code></example>
+    </member>
+    <member name="EvaluateModel(WaitUntil,string,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call EvaluateModel and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new object());
+Operation<BinaryData> operation = client.EvaluateModel(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", content);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("evaluationOptions").ToString());
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("percentComplete").ToString());
+]]></code>
+This sample shows how to call EvaluateModel with all parameters and request content and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    kind = "percentage",
+    trainingSplitPercentage = 1234,
+    testingSplitPercentage = 1234,
+});
+Operation<BinaryData> operation = client.EvaluateModel(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", content);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("kind").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("percentComplete").ToString());
+]]></code></example>
+    </member>
+    <member name="LoadSnapshotAsync(WaitUntil,string,string,RequestContext)">
+      <example>
+This sample shows how to call LoadSnapshotAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.LoadSnapshotAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>");
+]]></code>
+This sample shows how to call LoadSnapshotAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.LoadSnapshotAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="LoadSnapshot(WaitUntil,string,string,RequestContext)">
+      <example>
+This sample shows how to call LoadSnapshot.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.LoadSnapshot(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>");
+]]></code>
+This sample shows how to call LoadSnapshot with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.LoadSnapshot(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>");
+]]></code></example>
+    </member>
+    <member name="AssignDeploymentResourcesAsync(WaitUntil,string,AssignDeploymentResourcesConfig,CancellationToken)">
+      <example>
+This sample shows how to call AssignDeploymentResourcesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+AssignDeploymentResourcesConfig body = new AssignDeploymentResourcesConfig(new ResourceMetadata[]
+{
+    new ResourceMetadata("<azureResourceId>", "<customDomain>", "<region>")
+});
+Operation operation = await client.AssignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call AssignDeploymentResourcesAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+AssignDeploymentResourcesConfig body = new AssignDeploymentResourcesConfig(new ResourceMetadata[]
+{
+    new ResourceMetadata("<azureResourceId>", "<customDomain>", "<region>")
+});
+Operation operation = await client.AssignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code></example>
+    </member>
+    <member name="AssignDeploymentResources(WaitUntil,string,AssignDeploymentResourcesConfig,CancellationToken)">
+      <example>
+This sample shows how to call AssignDeploymentResources.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+AssignDeploymentResourcesConfig body = new AssignDeploymentResourcesConfig(new ResourceMetadata[]
+{
+    new ResourceMetadata("<azureResourceId>", "<customDomain>", "<region>")
+});
+Operation operation = client.AssignDeploymentResources(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call AssignDeploymentResources with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+AssignDeploymentResourcesConfig body = new AssignDeploymentResourcesConfig(new ResourceMetadata[]
+{
+    new ResourceMetadata("<azureResourceId>", "<customDomain>", "<region>")
+});
+Operation operation = client.AssignDeploymentResources(WaitUntil.Completed, "<projectName>", body);
+]]></code></example>
+    </member>
+    <member name="AssignDeploymentResourcesAsync(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call AssignDeploymentResourcesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    resourcesMetadata = new object[]
+    {
+        new
+        {
+            azureResourceId = "<azureResourceId>",
+            customDomain = "<customDomain>",
+            region = "<region>",
+        }
+    },
+});
+Operation operation = await client.AssignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call AssignDeploymentResourcesAsync with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    resourcesMetadata = new object[]
+    {
+        new
+        {
+            azureResourceId = "<azureResourceId>",
+            customDomain = "<customDomain>",
+            region = "<region>",
+        }
+    },
+});
+Operation operation = await client.AssignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code></example>
+    </member>
+    <member name="AssignDeploymentResources(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call AssignDeploymentResources.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    resourcesMetadata = new object[]
+    {
+        new
+        {
+            azureResourceId = "<azureResourceId>",
+            customDomain = "<customDomain>",
+            region = "<region>",
+        }
+    },
+});
+Operation operation = client.AssignDeploymentResources(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call AssignDeploymentResources with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    resourcesMetadata = new object[]
+    {
+        new
+        {
+            azureResourceId = "<azureResourceId>",
+            customDomain = "<customDomain>",
+            region = "<region>",
+        }
+    },
+});
+Operation operation = client.AssignDeploymentResources(WaitUntil.Completed, "<projectName>", content);
+]]></code></example>
+    </member>
+    <member name="UnassignDeploymentResourcesAsync(WaitUntil,string,UnassignDeploymentResourcesConfig,CancellationToken)">
+      <example>
+This sample shows how to call UnassignDeploymentResourcesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+UnassignDeploymentResourcesConfig body = new UnassignDeploymentResourcesConfig(new string[] { "<assignedResourceIds>" });
+Operation operation = await client.UnassignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call UnassignDeploymentResourcesAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+UnassignDeploymentResourcesConfig body = new UnassignDeploymentResourcesConfig(new string[] { "<assignedResourceIds>" });
+Operation operation = await client.UnassignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", body);
+]]></code></example>
+    </member>
+    <member name="UnassignDeploymentResources(WaitUntil,string,UnassignDeploymentResourcesConfig,CancellationToken)">
+      <example>
+This sample shows how to call UnassignDeploymentResources.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+UnassignDeploymentResourcesConfig body = new UnassignDeploymentResourcesConfig(new string[] { "<assignedResourceIds>" });
+Operation operation = client.UnassignDeploymentResources(WaitUntil.Completed, "<projectName>", body);
+]]></code>
+This sample shows how to call UnassignDeploymentResources with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+UnassignDeploymentResourcesConfig body = new UnassignDeploymentResourcesConfig(new string[] { "<assignedResourceIds>" });
+Operation operation = client.UnassignDeploymentResources(WaitUntil.Completed, "<projectName>", body);
+]]></code></example>
+    </member>
+    <member name="UnassignDeploymentResourcesAsync(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call UnassignDeploymentResourcesAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    assignedResourceIds = new object[]
+    {
+        "<assignedResourceIds>"
+    },
+});
+Operation operation = await client.UnassignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call UnassignDeploymentResourcesAsync with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    assignedResourceIds = new object[]
+    {
+        "<assignedResourceIds>"
+    },
+});
+Operation operation = await client.UnassignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", content);
+]]></code></example>
+    </member>
+    <member name="UnassignDeploymentResources(WaitUntil,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call UnassignDeploymentResources.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    assignedResourceIds = new object[]
+    {
+        "<assignedResourceIds>"
+    },
+});
+Operation operation = client.UnassignDeploymentResources(WaitUntil.Completed, "<projectName>", content);
+]]></code>
+This sample shows how to call UnassignDeploymentResources with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    assignedResourceIds = new object[]
+    {
+        "<assignedResourceIds>"
+    },
+});
+Operation operation = client.UnassignDeploymentResources(WaitUntil.Completed, "<projectName>", content);
+]]></code></example>
+    </member>
+    <member name="CancelTrainingJobAsync(WaitUntil,string,string,CancellationToken)">
+      <example>
+This sample shows how to call CancelTrainingJobAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation<TrainingJobResult> operation = await client.CancelTrainingJobAsync(WaitUntil.Completed, "<projectName>", "<jobId>");
+TrainingJobResult responseData = operation.Value;
+]]></code>
+This sample shows how to call CancelTrainingJobAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation<TrainingJobResult> operation = await client.CancelTrainingJobAsync(WaitUntil.Completed, "<projectName>", "<jobId>");
+TrainingJobResult responseData = operation.Value;
+]]></code></example>
+    </member>
+    <member name="CancelTrainingJob(WaitUntil,string,string,CancellationToken)">
+      <example>
+This sample shows how to call CancelTrainingJob.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation<TrainingJobResult> operation = client.CancelTrainingJob(WaitUntil.Completed, "<projectName>", "<jobId>");
+TrainingJobResult responseData = operation.Value;
+]]></code>
+This sample shows how to call CancelTrainingJob with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation<TrainingJobResult> operation = client.CancelTrainingJob(WaitUntil.Completed, "<projectName>", "<jobId>");
+TrainingJobResult responseData = operation.Value;
+]]></code></example>
+    </member>
+    <member name="CancelTrainingJobAsync(WaitUntil,string,string,RequestContext)">
+      <example>
+This sample shows how to call CancelTrainingJobAsync and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation<BinaryData> operation = await client.CancelTrainingJobAsync(WaitUntil.Completed, "<projectName>", "<jobId>", null);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+]]></code>
+This sample shows how to call CancelTrainingJobAsync with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation<BinaryData> operation = await client.CancelTrainingJobAsync(WaitUntil.Completed, "<projectName>", "<jobId>", null);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("trainingMode").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("estimatedEndDateTime").ToString());
+]]></code></example>
+    </member>
+    <member name="CancelTrainingJob(WaitUntil,string,string,RequestContext)">
+      <example>
+This sample shows how to call CancelTrainingJob and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation<BinaryData> operation = client.CancelTrainingJob(WaitUntil.Completed, "<projectName>", "<jobId>", null);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+]]></code>
+This sample shows how to call CancelTrainingJob with all parameters and parse the result.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation<BinaryData> operation = client.CancelTrainingJob(WaitUntil.Completed, "<projectName>", "<jobId>", null);
+BinaryData responseData = operation.Value;
+
+JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+Console.WriteLine(result.GetProperty("modelLabel").ToString());
+Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+Console.WriteLine(result.GetProperty("trainingMode").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("status").ToString());
+Console.WriteLine(result.GetProperty("estimatedEndDateTime").ToString());
+]]></code></example>
+    </member>
+    <member name="DeleteExportedModelAsync(WaitUntil,string,string,RequestContext)">
+      <example>
+This sample shows how to call DeleteExportedModelAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.DeleteExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>");
+]]></code>
+This sample shows how to call DeleteExportedModelAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = await client.DeleteExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>");
+]]></code></example>
+    </member>
+    <member name="DeleteExportedModel(WaitUntil,string,string,RequestContext)">
+      <example>
+This sample shows how to call DeleteExportedModel.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.DeleteExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>");
+]]></code>
+This sample shows how to call DeleteExportedModel with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+Operation operation = client.DeleteExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>");
+]]></code></example>
+    </member>
+    <member name="CreateOrUpdateExportedModelAsync(WaitUntil,string,string,ExportedModelConfig,CancellationToken)">
+      <example>
+This sample shows how to call CreateOrUpdateExportedModelAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+ExportedModelConfig body = new ExportedModelConfig("<trainedModelLabel>");
+Operation operation = await client.CreateOrUpdateExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>", body);
+]]></code>
+This sample shows how to call CreateOrUpdateExportedModelAsync with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+ExportedModelConfig body = new ExportedModelConfig("<trainedModelLabel>");
+Operation operation = await client.CreateOrUpdateExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>", body);
+]]></code></example>
+    </member>
+    <member name="CreateOrUpdateExportedModel(WaitUntil,string,string,ExportedModelConfig,CancellationToken)">
+      <example>
+This sample shows how to call CreateOrUpdateExportedModel.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+ExportedModelConfig body = new ExportedModelConfig("<trainedModelLabel>");
+Operation operation = client.CreateOrUpdateExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>", body);
+]]></code>
+This sample shows how to call CreateOrUpdateExportedModel with all parameters.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+ExportedModelConfig body = new ExportedModelConfig("<trainedModelLabel>");
+Operation operation = client.CreateOrUpdateExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>", body);
+]]></code></example>
+    </member>
+    <member name="CreateOrUpdateExportedModelAsync(WaitUntil,string,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call CreateOrUpdateExportedModelAsync.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    trainedModelLabel = "<trainedModelLabel>",
+});
+Operation operation = await client.CreateOrUpdateExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>", content);
+]]></code>
+This sample shows how to call CreateOrUpdateExportedModelAsync with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    trainedModelLabel = "<trainedModelLabel>",
+});
+Operation operation = await client.CreateOrUpdateExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>", content);
+]]></code></example>
+    </member>
+    <member name="CreateOrUpdateExportedModel(WaitUntil,string,string,RequestContent,RequestContext)">
+      <example>
+This sample shows how to call CreateOrUpdateExportedModel.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    trainedModelLabel = "<trainedModelLabel>",
+});
+Operation operation = client.CreateOrUpdateExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>", content);
+]]></code>
+This sample shows how to call CreateOrUpdateExportedModel with all parameters and request content.
+<code><![CDATA[
+Uri endpoint = new Uri("<https://my-service.azure.com>");
+AzureKeyCredential credential = new AzureKeyCredential("<key>");
+ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+using RequestContent content = RequestContent.Create(new
+{
+    trainedModelLabel = "<trainedModelLabel>",
+});
+Operation operation = client.CreateOrUpdateExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>", content);
+]]></code></example>
+    </member>
+  </members>
+</doc>
\ No newline at end of file
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/Argument.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/Argument.cs
new file mode 100644
index 000000000000..908c3a5d8b43
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/Argument.cs
@@ -0,0 +1,129 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations
+{
+    internal static class Argument
+    {
+        public static void AssertNotNull<T>(T value, string name)
+        {
+            if (value is null)
+            {
+                throw new ArgumentNullException(name);
+            }
+        }
+
+        public static void AssertNotNull<T>(T? value, string name)
+        where T : struct
+        {
+            if (!value.HasValue)
+            {
+                throw new ArgumentNullException(name);
+            }
+        }
+
+        public static void AssertNotNullOrEmpty<T>(IEnumerable<T> value, string name)
+        {
+            if (value is null)
+            {
+                throw new ArgumentNullException(name);
+            }
+            if (value is ICollection<T> collectionOfT && collectionOfT.Count == 0)
+            {
+                throw new ArgumentException("Value cannot be an empty collection.", name);
+            }
+            if (value is ICollection collection && collection.Count == 0)
+            {
+                throw new ArgumentException("Value cannot be an empty collection.", name);
+            }
+            using IEnumerator<T> e = value.GetEnumerator();
+            if (!e.MoveNext())
+            {
+                throw new ArgumentException("Value cannot be an empty collection.", name);
+            }
+        }
+
+        public static void AssertNotNullOrEmpty(string value, string name)
+        {
+            if (value is null)
+            {
+                throw new ArgumentNullException(name);
+            }
+            if (value.Length == 0)
+            {
+                throw new ArgumentException("Value cannot be an empty string.", name);
+            }
+        }
+
+        public static void AssertNotNullOrWhiteSpace(string value, string name)
+        {
+            if (value is null)
+            {
+                throw new ArgumentNullException(name);
+            }
+            if (string.IsNullOrWhiteSpace(value))
+            {
+                throw new ArgumentException("Value cannot be empty or contain only white-space characters.", name);
+            }
+        }
+
+        public static void AssertNotDefault<T>(ref T value, string name)
+        where T : struct, IEquatable<T>
+        {
+            if (value.Equals(default))
+            {
+                throw new ArgumentException("Value cannot be empty.", name);
+            }
+        }
+
+        public static void AssertInRange<T>(T value, T minimum, T maximum, string name)
+        where T : notnull, IComparable<T>
+        {
+            if (minimum.CompareTo(value) > 0)
+            {
+                throw new ArgumentOutOfRangeException(name, "Value is less than the minimum allowed.");
+            }
+            if (maximum.CompareTo(value) < 0)
+            {
+                throw new ArgumentOutOfRangeException(name, "Value is greater than the maximum allowed.");
+            }
+        }
+
+        public static void AssertEnumDefined(Type enumType, object value, string name)
+        {
+            if (!Enum.IsDefined(enumType, value))
+            {
+                throw new ArgumentException($"Value not defined for {enumType.FullName}.", name);
+            }
+        }
+
+        public static T CheckNotNull<T>(T value, string name)
+        where T : class
+        {
+            AssertNotNull(value, name);
+            return value;
+        }
+
+        public static string CheckNotNullOrEmpty(string value, string name)
+        {
+            AssertNotNullOrEmpty(value, name);
+            return value;
+        }
+
+        public static void AssertNull<T>(T value, string name, string message = null)
+        {
+            if (value != null)
+            {
+                throw new ArgumentException(message ?? "Value must be null.", name);
+            }
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/ChangeTrackingDictionary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/ChangeTrackingDictionary.cs
new file mode 100644
index 000000000000..1cf218e3912f
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/ChangeTrackingDictionary.cs
@@ -0,0 +1,167 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations
+{
+    internal class ChangeTrackingDictionary<TKey, TValue> : IDictionary<TKey, TValue>, IReadOnlyDictionary<TKey, TValue> where TKey : notnull
+    {
+        private IDictionary<TKey, TValue> _innerDictionary;
+
+        public ChangeTrackingDictionary()
+        {
+        }
+
+        public ChangeTrackingDictionary(IDictionary<TKey, TValue> dictionary)
+        {
+            if (dictionary == null)
+            {
+                return;
+            }
+            _innerDictionary = new Dictionary<TKey, TValue>(dictionary);
+        }
+
+        public ChangeTrackingDictionary(IReadOnlyDictionary<TKey, TValue> dictionary)
+        {
+            if (dictionary == null)
+            {
+                return;
+            }
+            _innerDictionary = new Dictionary<TKey, TValue>();
+            foreach (var pair in dictionary)
+            {
+                _innerDictionary.Add(pair);
+            }
+        }
+
+        public bool IsUndefined => _innerDictionary == null;
+
+        public int Count => IsUndefined ? 0 : EnsureDictionary().Count;
+
+        public bool IsReadOnly => IsUndefined ? false : EnsureDictionary().IsReadOnly;
+
+        public ICollection<TKey> Keys => IsUndefined ? Array.Empty<TKey>() : EnsureDictionary().Keys;
+
+        public ICollection<TValue> Values => IsUndefined ? Array.Empty<TValue>() : EnsureDictionary().Values;
+
+        public TValue this[TKey key]
+        {
+            get
+            {
+                if (IsUndefined)
+                {
+                    throw new KeyNotFoundException(nameof(key));
+                }
+                return EnsureDictionary()[key];
+            }
+            set
+            {
+                EnsureDictionary()[key] = value;
+            }
+        }
+
+        IEnumerable<TKey> IReadOnlyDictionary<TKey, TValue>.Keys => Keys;
+
+        IEnumerable<TValue> IReadOnlyDictionary<TKey, TValue>.Values => Values;
+
+        public IEnumerator<KeyValuePair<TKey, TValue>> GetEnumerator()
+        {
+            if (IsUndefined)
+            {
+                IEnumerator<KeyValuePair<TKey, TValue>> enumerateEmpty()
+                {
+                    yield break;
+                }
+                return enumerateEmpty();
+            }
+            return EnsureDictionary().GetEnumerator();
+        }
+
+        IEnumerator IEnumerable.GetEnumerator()
+        {
+            return GetEnumerator();
+        }
+
+        public void Add(KeyValuePair<TKey, TValue> item)
+        {
+            EnsureDictionary().Add(item);
+        }
+
+        public void Clear()
+        {
+            EnsureDictionary().Clear();
+        }
+
+        public bool Contains(KeyValuePair<TKey, TValue> item)
+        {
+            if (IsUndefined)
+            {
+                return false;
+            }
+            return EnsureDictionary().Contains(item);
+        }
+
+        public void CopyTo(KeyValuePair<TKey, TValue>[] array, int index)
+        {
+            if (IsUndefined)
+            {
+                return;
+            }
+            EnsureDictionary().CopyTo(array, index);
+        }
+
+        public bool Remove(KeyValuePair<TKey, TValue> item)
+        {
+            if (IsUndefined)
+            {
+                return false;
+            }
+            return EnsureDictionary().Remove(item);
+        }
+
+        public void Add(TKey key, TValue value)
+        {
+            EnsureDictionary().Add(key, value);
+        }
+
+        public bool ContainsKey(TKey key)
+        {
+            if (IsUndefined)
+            {
+                return false;
+            }
+            return EnsureDictionary().ContainsKey(key);
+        }
+
+        public bool Remove(TKey key)
+        {
+            if (IsUndefined)
+            {
+                return false;
+            }
+            return EnsureDictionary().Remove(key);
+        }
+
+        public bool TryGetValue(TKey key, out TValue value)
+        {
+            if (IsUndefined)
+            {
+                value = default;
+                return false;
+            }
+            return EnsureDictionary().TryGetValue(key, out value);
+        }
+
+        public IDictionary<TKey, TValue> EnsureDictionary()
+        {
+            return _innerDictionary ??= new Dictionary<TKey, TValue>();
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/ChangeTrackingList.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/ChangeTrackingList.cs
new file mode 100644
index 000000000000..3f4dbe7015be
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/ChangeTrackingList.cs
@@ -0,0 +1,153 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Conversations
+{
+    internal class ChangeTrackingList<T> : IList<T>, IReadOnlyList<T>
+    {
+        private IList<T> _innerList;
+
+        public ChangeTrackingList()
+        {
+        }
+
+        public ChangeTrackingList(IList<T> innerList)
+        {
+            if (innerList != null)
+            {
+                _innerList = innerList;
+            }
+        }
+
+        public ChangeTrackingList(IReadOnlyList<T> innerList)
+        {
+            if (innerList != null)
+            {
+                _innerList = innerList.ToList();
+            }
+        }
+
+        public bool IsUndefined => _innerList == null;
+
+        public int Count => IsUndefined ? 0 : EnsureList().Count;
+
+        public bool IsReadOnly => IsUndefined ? false : EnsureList().IsReadOnly;
+
+        public T this[int index]
+        {
+            get
+            {
+                if (IsUndefined)
+                {
+                    throw new ArgumentOutOfRangeException(nameof(index));
+                }
+                return EnsureList()[index];
+            }
+            set
+            {
+                if (IsUndefined)
+                {
+                    throw new ArgumentOutOfRangeException(nameof(index));
+                }
+                EnsureList()[index] = value;
+            }
+        }
+
+        public void Reset()
+        {
+            _innerList = null;
+        }
+
+        public IEnumerator<T> GetEnumerator()
+        {
+            if (IsUndefined)
+            {
+                IEnumerator<T> enumerateEmpty()
+                {
+                    yield break;
+                }
+                return enumerateEmpty();
+            }
+            return EnsureList().GetEnumerator();
+        }
+
+        IEnumerator IEnumerable.GetEnumerator()
+        {
+            return GetEnumerator();
+        }
+
+        public void Add(T item)
+        {
+            EnsureList().Add(item);
+        }
+
+        public void Clear()
+        {
+            EnsureList().Clear();
+        }
+
+        public bool Contains(T item)
+        {
+            if (IsUndefined)
+            {
+                return false;
+            }
+            return EnsureList().Contains(item);
+        }
+
+        public void CopyTo(T[] array, int arrayIndex)
+        {
+            if (IsUndefined)
+            {
+                return;
+            }
+            EnsureList().CopyTo(array, arrayIndex);
+        }
+
+        public bool Remove(T item)
+        {
+            if (IsUndefined)
+            {
+                return false;
+            }
+            return EnsureList().Remove(item);
+        }
+
+        public int IndexOf(T item)
+        {
+            if (IsUndefined)
+            {
+                return -1;
+            }
+            return EnsureList().IndexOf(item);
+        }
+
+        public void Insert(int index, T item)
+        {
+            EnsureList().Insert(index, item);
+        }
+
+        public void RemoveAt(int index)
+        {
+            if (IsUndefined)
+            {
+                throw new ArgumentOutOfRangeException(nameof(index));
+            }
+            EnsureList().RemoveAt(index);
+        }
+
+        public IList<T> EnsureList()
+        {
+            return _innerList ??= new List<T>();
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/ModelSerializationExtensions.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/ModelSerializationExtensions.cs
new file mode 100644
index 000000000000..44b7f44a36f4
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/ModelSerializationExtensions.cs
@@ -0,0 +1,398 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Diagnostics;
+using System.Globalization;
+using System.Text.Json;
+using System.Xml;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations
+{
+    internal static class ModelSerializationExtensions
+    {
+        internal static readonly ModelReaderWriterOptions WireOptions = new ModelReaderWriterOptions("W");
+
+        public static object GetObject(this JsonElement element)
+        {
+            switch (element.ValueKind)
+            {
+                case JsonValueKind.String:
+                    return element.GetString();
+                case JsonValueKind.Number:
+                    if (element.TryGetInt32(out int intValue))
+                    {
+                        return intValue;
+                    }
+                    if (element.TryGetInt64(out long longValue))
+                    {
+                        return longValue;
+                    }
+                    return element.GetDouble();
+                case JsonValueKind.True:
+                    return true;
+                case JsonValueKind.False:
+                    return false;
+                case JsonValueKind.Undefined:
+                case JsonValueKind.Null:
+                    return null;
+                case JsonValueKind.Object:
+                    var dictionary = new Dictionary<string, object>();
+                    foreach (var jsonProperty in element.EnumerateObject())
+                    {
+                        dictionary.Add(jsonProperty.Name, jsonProperty.Value.GetObject());
+                    }
+                    return dictionary;
+                case JsonValueKind.Array:
+                    var list = new List<object>();
+                    foreach (var item in element.EnumerateArray())
+                    {
+                        list.Add(item.GetObject());
+                    }
+                    return list.ToArray();
+                default:
+                    throw new NotSupportedException($"Not supported value kind {element.ValueKind}");
+            }
+        }
+
+        public static byte[] GetBytesFromBase64(this JsonElement element, string format)
+        {
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+
+            return format switch
+            {
+                "U" => TypeFormatters.FromBase64UrlString(element.GetRequiredString()),
+                "D" => element.GetBytesFromBase64(),
+                _ => throw new ArgumentException($"Format is not supported: '{format}'", nameof(format))
+            };
+        }
+
+        public static DateTimeOffset GetDateTimeOffset(this JsonElement element, string format) => format switch
+        {
+            "U" when element.ValueKind == JsonValueKind.Number => DateTimeOffset.FromUnixTimeSeconds(element.GetInt64()),
+            _ => TypeFormatters.ParseDateTimeOffset(element.GetString(), format)
+        };
+
+        public static TimeSpan GetTimeSpan(this JsonElement element, string format) => TypeFormatters.ParseTimeSpan(element.GetString(), format);
+
+        public static char GetChar(this JsonElement element)
+        {
+            if (element.ValueKind == JsonValueKind.String)
+            {
+                var text = element.GetString();
+                if (text == null || text.Length != 1)
+                {
+                    throw new NotSupportedException($"Cannot convert \"{text}\" to a char");
+                }
+                return text[0];
+            }
+            else
+            {
+                throw new NotSupportedException($"Cannot convert {element.ValueKind} to a char");
+            }
+        }
+
+        [Conditional("DEBUG")]
+        public static void ThrowNonNullablePropertyIsNull(this JsonProperty property)
+        {
+            throw new JsonException($"A property '{property.Name}' defined as non-nullable but received as null from the service. This exception only happens in DEBUG builds of the library and would be ignored in the release build");
+        }
+
+        public static string GetRequiredString(this JsonElement element)
+        {
+            var value = element.GetString();
+            if (value == null)
+            {
+                throw new InvalidOperationException($"The requested operation requires an element of type 'String', but the target element has type '{element.ValueKind}'.");
+            }
+            return value;
+        }
+
+        public static void WriteStringValue(this Utf8JsonWriter writer, DateTimeOffset value, string format)
+        {
+            writer.WriteStringValue(TypeFormatters.ToString(value, format));
+        }
+
+        public static void WriteStringValue(this Utf8JsonWriter writer, DateTime value, string format)
+        {
+            writer.WriteStringValue(TypeFormatters.ToString(value, format));
+        }
+
+        public static void WriteStringValue(this Utf8JsonWriter writer, TimeSpan value, string format)
+        {
+            writer.WriteStringValue(TypeFormatters.ToString(value, format));
+        }
+
+        public static void WriteStringValue(this Utf8JsonWriter writer, char value)
+        {
+            writer.WriteStringValue(value.ToString(CultureInfo.InvariantCulture));
+        }
+
+        public static void WriteBase64StringValue(this Utf8JsonWriter writer, byte[] value, string format)
+        {
+            if (value == null)
+            {
+                writer.WriteNullValue();
+                return;
+            }
+            switch (format)
+            {
+                case "U":
+                    writer.WriteStringValue(TypeFormatters.ToBase64UrlString(value));
+                    break;
+                case "D":
+                    writer.WriteBase64StringValue(value);
+                    break;
+                default:
+                    throw new ArgumentException($"Format is not supported: '{format}'", nameof(format));
+            }
+        }
+
+        public static void WriteNumberValue(this Utf8JsonWriter writer, DateTimeOffset value, string format)
+        {
+            if (format != "U")
+            {
+                throw new ArgumentOutOfRangeException(nameof(format), "Only 'U' format is supported when writing a DateTimeOffset as a Number.");
+            }
+            writer.WriteNumberValue(value.ToUnixTimeSeconds());
+        }
+
+        public static void WriteObjectValue<T>(this Utf8JsonWriter writer, T value, ModelReaderWriterOptions options = null)
+        {
+            switch (value)
+            {
+                case null:
+                    writer.WriteNullValue();
+                    break;
+                case IJsonModel<T> jsonModel:
+                    jsonModel.Write(writer, options ?? WireOptions);
+                    break;
+                case IUtf8JsonSerializable serializable:
+                    serializable.Write(writer);
+                    break;
+                case byte[] bytes:
+                    writer.WriteBase64StringValue(bytes);
+                    break;
+                case BinaryData bytes0:
+                    writer.WriteBase64StringValue(bytes0);
+                    break;
+                case JsonElement json:
+                    json.WriteTo(writer);
+                    break;
+                case int i:
+                    writer.WriteNumberValue(i);
+                    break;
+                case decimal d:
+                    writer.WriteNumberValue(d);
+                    break;
+                case double d0:
+                    if (double.IsNaN(d0))
+                    {
+                        writer.WriteStringValue("NaN");
+                    }
+                    else
+                    {
+                        writer.WriteNumberValue(d0);
+                    }
+                    break;
+                case float f:
+                    writer.WriteNumberValue(f);
+                    break;
+                case long l:
+                    writer.WriteNumberValue(l);
+                    break;
+                case string s:
+                    writer.WriteStringValue(s);
+                    break;
+                case bool b:
+                    writer.WriteBooleanValue(b);
+                    break;
+                case Guid g:
+                    writer.WriteStringValue(g);
+                    break;
+                case DateTimeOffset dateTimeOffset:
+                    writer.WriteStringValue(dateTimeOffset, "O");
+                    break;
+                case DateTime dateTime:
+                    writer.WriteStringValue(dateTime, "O");
+                    break;
+                case IEnumerable<KeyValuePair<string, object>> enumerable:
+                    writer.WriteStartObject();
+                    foreach (var pair in enumerable)
+                    {
+                        writer.WritePropertyName(pair.Key);
+                        writer.WriteObjectValue<object>(pair.Value, options);
+                    }
+                    writer.WriteEndObject();
+                    break;
+                case IEnumerable<object> objectEnumerable:
+                    writer.WriteStartArray();
+                    foreach (var item in objectEnumerable)
+                    {
+                        writer.WriteObjectValue<object>(item, options);
+                    }
+                    writer.WriteEndArray();
+                    break;
+                case TimeSpan timeSpan:
+                    writer.WriteStringValue(timeSpan, "P");
+                    break;
+                default:
+                    throw new NotSupportedException($"Not supported type {value.GetType()}");
+            }
+        }
+
+        public static void WriteObjectValue(this Utf8JsonWriter writer, object value, ModelReaderWriterOptions options = null)
+        {
+            writer.WriteObjectValue<object>(value, options);
+        }
+
+        internal static class TypeFormatters
+        {
+            private const string RoundtripZFormat = "yyyy-MM-ddTHH:mm:ss.fffffffZ";
+            public const string DefaultNumberFormat = "G";
+
+            public static string ToString(bool value) => value ? "true" : "false";
+
+            public static string ToString(DateTime value, string format) => value.Kind switch
+            {
+                DateTimeKind.Utc => ToString((DateTimeOffset)value, format),
+                _ => throw new NotSupportedException($"DateTime {value} has a Kind of {value.Kind}. Azure SDK requires it to be UTC. You can call DateTime.SpecifyKind to change Kind property value to DateTimeKind.Utc.")
+            };
+
+            public static string ToString(DateTimeOffset value, string format) => format switch
+            {
+                "D" => value.ToString("yyyy-MM-dd", CultureInfo.InvariantCulture),
+                "U" => value.ToUnixTimeSeconds().ToString(CultureInfo.InvariantCulture),
+                "O" => value.ToUniversalTime().ToString(RoundtripZFormat, CultureInfo.InvariantCulture),
+                "o" => value.ToUniversalTime().ToString(RoundtripZFormat, CultureInfo.InvariantCulture),
+                "R" => value.ToString("r", CultureInfo.InvariantCulture),
+                _ => value.ToString(format, CultureInfo.InvariantCulture)
+            };
+
+            public static string ToString(TimeSpan value, string format) => format switch
+            {
+                "P" => XmlConvert.ToString(value),
+                _ => value.ToString(format, CultureInfo.InvariantCulture)
+            };
+
+            public static string ToString(byte[] value, string format) => format switch
+            {
+                "U" => ToBase64UrlString(value),
+                "D" => Convert.ToBase64String(value),
+                _ => throw new ArgumentException($"Format is not supported: '{format}'", nameof(format))
+            };
+
+            public static string ToBase64UrlString(byte[] value)
+            {
+                int numWholeOrPartialInputBlocks = checked(value.Length + 2) / 3;
+                int size = checked(numWholeOrPartialInputBlocks * 4);
+                char[] output = new char[size];
+
+                int numBase64Chars = Convert.ToBase64CharArray(value, 0, value.Length, output, 0);
+
+                int i = 0;
+                for (; i < numBase64Chars; i++)
+                {
+                    char ch = output[i];
+                    if (ch == '+')
+                    {
+                        output[i] = '-';
+                    }
+                    else
+                    {
+                        if (ch == '/')
+                        {
+                            output[i] = '_';
+                        }
+                        else
+                        {
+                            if (ch == '=')
+                            {
+                                break;
+                            }
+                        }
+                    }
+                }
+
+                return new string(output, 0, i);
+            }
+
+            public static byte[] FromBase64UrlString(string value)
+            {
+                int paddingCharsToAdd = (value.Length % 4) switch
+                {
+                    0 => 0,
+                    2 => 2,
+                    3 => 1,
+                    _ => throw new InvalidOperationException("Malformed input")
+                };
+                char[] output = new char[(value.Length + paddingCharsToAdd)];
+                int i = 0;
+                for (; i < value.Length; i++)
+                {
+                    char ch = value[i];
+                    if (ch == '-')
+                    {
+                        output[i] = '+';
+                    }
+                    else
+                    {
+                        if (ch == '_')
+                        {
+                            output[i] = '/';
+                        }
+                        else
+                        {
+                            output[i] = ch;
+                        }
+                    }
+                }
+
+                for (; i < output.Length; i++)
+                {
+                    output[i] = '=';
+                }
+
+                return Convert.FromBase64CharArray(output, 0, output.Length);
+            }
+
+            public static DateTimeOffset ParseDateTimeOffset(string value, string format) => format switch
+            {
+                "U" => DateTimeOffset.FromUnixTimeSeconds(long.Parse(value, CultureInfo.InvariantCulture)),
+                _ => DateTimeOffset.Parse(value, CultureInfo.InvariantCulture, DateTimeStyles.AssumeUniversal)
+            };
+
+            public static TimeSpan ParseTimeSpan(string value, string format) => format switch
+            {
+                "P" => XmlConvert.ToTimeSpan(value),
+                _ => TimeSpan.ParseExact(value, format, CultureInfo.InvariantCulture)
+            };
+
+            public static string ConvertToString(object value, string format = null) => value switch
+            {
+                null => "null",
+                string s => s,
+                bool b => ToString(b),
+                int or float or double or long or decimal => ((IFormattable)value).ToString(DefaultNumberFormat, CultureInfo.InvariantCulture),
+                byte[] b0 when format != null => ToString(b0, format),
+                IEnumerable<string> s0 => string.Join(",", s0),
+                DateTimeOffset dateTime when format != null => ToString(dateTime, format),
+                TimeSpan timeSpan when format != null => ToString(timeSpan, format),
+                TimeSpan timeSpan0 => XmlConvert.ToString(timeSpan0),
+                Guid guid => guid.ToString(),
+                BinaryData binaryData => ConvertToString(binaryData.ToArray(), format),
+                _ => value.ToString()
+            };
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/Optional.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/Optional.cs
new file mode 100644
index 000000000000..67f925cab7a1
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/Optional.cs
@@ -0,0 +1,51 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System.Collections.Generic;
+using System.Text.Json;
+
+namespace Azure.AI.Language.Authoring.Conversations
+{
+    internal static class Optional
+    {
+        public static bool IsCollectionDefined<T>(IEnumerable<T> collection)
+        {
+            return !(collection is ChangeTrackingList<T> changeTrackingList && changeTrackingList.IsUndefined);
+        }
+
+        public static bool IsCollectionDefined<TKey, TValue>(IDictionary<TKey, TValue> collection)
+        {
+            return !(collection is ChangeTrackingDictionary<TKey, TValue> changeTrackingDictionary && changeTrackingDictionary.IsUndefined);
+        }
+
+        public static bool IsCollectionDefined<TKey, TValue>(IReadOnlyDictionary<TKey, TValue> collection)
+        {
+            return !(collection is ChangeTrackingDictionary<TKey, TValue> changeTrackingDictionary && changeTrackingDictionary.IsUndefined);
+        }
+
+        public static bool IsDefined<T>(T? value)
+        where T : struct
+        {
+            return value.HasValue;
+        }
+
+        public static bool IsDefined(object value)
+        {
+            return value != null;
+        }
+
+        public static bool IsDefined(JsonElement value)
+        {
+            return value.ValueKind != JsonValueKind.Undefined;
+        }
+
+        public static bool IsDefined(string value)
+        {
+            return value != null;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/Utf8JsonRequestContent.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/Utf8JsonRequestContent.cs
new file mode 100644
index 000000000000..3f7d0cdc88c7
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Internal/Utf8JsonRequestContent.cs
@@ -0,0 +1,55 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System.IO;
+using System.Text.Json;
+using System.Threading;
+using System.Threading.Tasks;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations
+{
+    internal class Utf8JsonRequestContent : RequestContent
+    {
+        private readonly MemoryStream _stream;
+        private readonly RequestContent _content;
+
+        public Utf8JsonRequestContent()
+        {
+            _stream = new MemoryStream();
+            _content = Create(_stream);
+            JsonWriter = new Utf8JsonWriter(_stream);
+        }
+
+        public Utf8JsonWriter JsonWriter { get; }
+
+        public override async Task WriteToAsync(Stream stream, CancellationToken cancellationToken = default)
+        {
+            await JsonWriter.FlushAsync().ConfigureAwait(false);
+            await _content.WriteToAsync(stream, cancellationToken).ConfigureAwait(false);
+        }
+
+        public override void WriteTo(Stream stream, CancellationToken cancellationToken = default)
+        {
+            JsonWriter.Flush();
+            _content.WriteTo(stream, cancellationToken);
+        }
+
+        public override bool TryComputeLength(out long length)
+        {
+            length = JsonWriter.BytesCommitted + JsonWriter.BytesPending;
+            return true;
+        }
+
+        public override void Dispose()
+        {
+            JsonWriter.Dispose();
+            _content.Dispose();
+            _stream.Dispose();
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignDeploymentResourcesConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignDeploymentResourcesConfig.Serialization.cs
new file mode 100644
index 000000000000..d01f5f789635
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignDeploymentResourcesConfig.Serialization.cs
@@ -0,0 +1,145 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class AssignDeploymentResourcesConfig : IUtf8JsonSerializable, IJsonModel<AssignDeploymentResourcesConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<AssignDeploymentResourcesConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<AssignDeploymentResourcesConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignDeploymentResourcesConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignDeploymentResourcesConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("resourcesMetadata"u8);
+            writer.WriteStartArray();
+            foreach (var item in ResourcesMetadata)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        AssignDeploymentResourcesConfig IJsonModel<AssignDeploymentResourcesConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignDeploymentResourcesConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignDeploymentResourcesConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeAssignDeploymentResourcesConfig(document.RootElement, options);
+        }
+
+        internal static AssignDeploymentResourcesConfig DeserializeAssignDeploymentResourcesConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<ResourceMetadata> resourcesMetadata = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("resourcesMetadata"u8))
+                {
+                    List<ResourceMetadata> array = new List<ResourceMetadata>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ResourceMetadata.DeserializeResourceMetadata(item, options));
+                    }
+                    resourcesMetadata = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new AssignDeploymentResourcesConfig(resourcesMetadata, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<AssignDeploymentResourcesConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignDeploymentResourcesConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(AssignDeploymentResourcesConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        AssignDeploymentResourcesConfig IPersistableModel<AssignDeploymentResourcesConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignDeploymentResourcesConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeAssignDeploymentResourcesConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(AssignDeploymentResourcesConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<AssignDeploymentResourcesConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static AssignDeploymentResourcesConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeAssignDeploymentResourcesConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignDeploymentResourcesConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignDeploymentResourcesConfig.cs
new file mode 100644
index 000000000000..7e4f2a50933b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignDeploymentResourcesConfig.cs
@@ -0,0 +1,76 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the options for assigning Azure resources to a project. </summary>
+    public partial class AssignDeploymentResourcesConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="AssignDeploymentResourcesConfig"/>. </summary>
+        /// <param name="resourcesMetadata"> Represents the metadata for the resources to be assigned. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="resourcesMetadata"/> is null. </exception>
+        public AssignDeploymentResourcesConfig(IEnumerable<ResourceMetadata> resourcesMetadata)
+        {
+            Argument.AssertNotNull(resourcesMetadata, nameof(resourcesMetadata));
+
+            ResourcesMetadata = resourcesMetadata.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignDeploymentResourcesConfig"/>. </summary>
+        /// <param name="resourcesMetadata"> Represents the metadata for the resources to be assigned. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal AssignDeploymentResourcesConfig(IList<ResourceMetadata> resourcesMetadata, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ResourcesMetadata = resourcesMetadata;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignDeploymentResourcesConfig"/> for deserialization. </summary>
+        internal AssignDeploymentResourcesConfig()
+        {
+        }
+
+        /// <summary> Represents the metadata for the resources to be assigned. </summary>
+        public IList<ResourceMetadata> ResourcesMetadata { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedDeploymentResource.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedDeploymentResource.Serialization.cs
new file mode 100644
index 000000000000..90ded386eb00
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedDeploymentResource.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class AssignedDeploymentResource : IUtf8JsonSerializable, IJsonModel<AssignedDeploymentResource>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<AssignedDeploymentResource>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<AssignedDeploymentResource>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedDeploymentResource>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignedDeploymentResource)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("azureResourceId"u8);
+            writer.WriteStringValue(AzureResourceId);
+            writer.WritePropertyName("region"u8);
+            writer.WriteStringValue(Region);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        AssignedDeploymentResource IJsonModel<AssignedDeploymentResource>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedDeploymentResource>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignedDeploymentResource)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeAssignedDeploymentResource(document.RootElement, options);
+        }
+
+        internal static AssignedDeploymentResource DeserializeAssignedDeploymentResource(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string azureResourceId = default;
+            string region = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("azureResourceId"u8))
+                {
+                    azureResourceId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("region"u8))
+                {
+                    region = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new AssignedDeploymentResource(azureResourceId, region, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<AssignedDeploymentResource>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedDeploymentResource>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(AssignedDeploymentResource)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        AssignedDeploymentResource IPersistableModel<AssignedDeploymentResource>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedDeploymentResource>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeAssignedDeploymentResource(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(AssignedDeploymentResource)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<AssignedDeploymentResource>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static AssignedDeploymentResource FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeAssignedDeploymentResource(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedDeploymentResource.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedDeploymentResource.cs
new file mode 100644
index 000000000000..2df1dc778ccf
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedDeploymentResource.cs
@@ -0,0 +1,82 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the assigned deployment resource. </summary>
+    public partial class AssignedDeploymentResource
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="AssignedDeploymentResource"/>. </summary>
+        /// <param name="azureResourceId"> The resource ID. </param>
+        /// <param name="region"> The resource region. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="azureResourceId"/> or <paramref name="region"/> is null. </exception>
+        internal AssignedDeploymentResource(string azureResourceId, string region)
+        {
+            Argument.AssertNotNull(azureResourceId, nameof(azureResourceId));
+            Argument.AssertNotNull(region, nameof(region));
+
+            AzureResourceId = azureResourceId;
+            Region = region;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignedDeploymentResource"/>. </summary>
+        /// <param name="azureResourceId"> The resource ID. </param>
+        /// <param name="region"> The resource region. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal AssignedDeploymentResource(string azureResourceId, string region, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            AzureResourceId = azureResourceId;
+            Region = region;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignedDeploymentResource"/> for deserialization. </summary>
+        internal AssignedDeploymentResource()
+        {
+        }
+
+        /// <summary> The resource ID. </summary>
+        public string AzureResourceId { get; }
+        /// <summary> The resource region. </summary>
+        public string Region { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedProjectDeploymentMetadata.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedProjectDeploymentMetadata.Serialization.cs
new file mode 100644
index 000000000000..59626465d811
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedProjectDeploymentMetadata.Serialization.cs
@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class AssignedProjectDeploymentMetadata : IUtf8JsonSerializable, IJsonModel<AssignedProjectDeploymentMetadata>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<AssignedProjectDeploymentMetadata>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<AssignedProjectDeploymentMetadata>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedProjectDeploymentMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignedProjectDeploymentMetadata)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("deploymentName"u8);
+            writer.WriteStringValue(DeploymentName);
+            writer.WritePropertyName("lastDeployedDateTime"u8);
+            writer.WriteStringValue(LastDeployedDateTime, "O");
+            writer.WritePropertyName("deploymentExpirationDate"u8);
+            writer.WriteStringValue(DeploymentExpirationDate, "D");
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        AssignedProjectDeploymentMetadata IJsonModel<AssignedProjectDeploymentMetadata>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedProjectDeploymentMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignedProjectDeploymentMetadata)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeAssignedProjectDeploymentMetadata(document.RootElement, options);
+        }
+
+        internal static AssignedProjectDeploymentMetadata DeserializeAssignedProjectDeploymentMetadata(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string deploymentName = default;
+            DateTimeOffset lastDeployedDateTime = default;
+            DateTimeOffset deploymentExpirationDate = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("deploymentName"u8))
+                {
+                    deploymentName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("lastDeployedDateTime"u8))
+                {
+                    lastDeployedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("deploymentExpirationDate"u8))
+                {
+                    deploymentExpirationDate = property.Value.GetDateTimeOffset("D");
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new AssignedProjectDeploymentMetadata(deploymentName, lastDeployedDateTime, deploymentExpirationDate, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<AssignedProjectDeploymentMetadata>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedProjectDeploymentMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(AssignedProjectDeploymentMetadata)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        AssignedProjectDeploymentMetadata IPersistableModel<AssignedProjectDeploymentMetadata>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedProjectDeploymentMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeAssignedProjectDeploymentMetadata(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(AssignedProjectDeploymentMetadata)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<AssignedProjectDeploymentMetadata>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static AssignedProjectDeploymentMetadata FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeAssignedProjectDeploymentMetadata(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedProjectDeploymentMetadata.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedProjectDeploymentMetadata.cs
new file mode 100644
index 000000000000..a74c82ec7b2f
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedProjectDeploymentMetadata.cs
@@ -0,0 +1,87 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the metadata for an assigned deployment. </summary>
+    public partial class AssignedProjectDeploymentMetadata
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="AssignedProjectDeploymentMetadata"/>. </summary>
+        /// <param name="deploymentName"> Represents the deployment name. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="deploymentName"/> is null. </exception>
+        internal AssignedProjectDeploymentMetadata(string deploymentName, DateTimeOffset lastDeployedDateTime, DateTimeOffset deploymentExpirationDate)
+        {
+            Argument.AssertNotNull(deploymentName, nameof(deploymentName));
+
+            DeploymentName = deploymentName;
+            LastDeployedDateTime = lastDeployedDateTime;
+            DeploymentExpirationDate = deploymentExpirationDate;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignedProjectDeploymentMetadata"/>. </summary>
+        /// <param name="deploymentName"> Represents the deployment name. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal AssignedProjectDeploymentMetadata(string deploymentName, DateTimeOffset lastDeployedDateTime, DateTimeOffset deploymentExpirationDate, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            DeploymentName = deploymentName;
+            LastDeployedDateTime = lastDeployedDateTime;
+            DeploymentExpirationDate = deploymentExpirationDate;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignedProjectDeploymentMetadata"/> for deserialization. </summary>
+        internal AssignedProjectDeploymentMetadata()
+        {
+        }
+
+        /// <summary> Represents the deployment name. </summary>
+        public string DeploymentName { get; }
+        /// <summary> Represents deployment last deployed time. </summary>
+        public DateTimeOffset LastDeployedDateTime { get; }
+        /// <summary> Represents deployment expiration date in the runtime. </summary>
+        public DateTimeOffset DeploymentExpirationDate { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedProjectDeploymentsMetadata.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedProjectDeploymentsMetadata.Serialization.cs
new file mode 100644
index 000000000000..d893cd999f41
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedProjectDeploymentsMetadata.Serialization.cs
@@ -0,0 +1,153 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class AssignedProjectDeploymentsMetadata : IUtf8JsonSerializable, IJsonModel<AssignedProjectDeploymentsMetadata>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<AssignedProjectDeploymentsMetadata>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<AssignedProjectDeploymentsMetadata>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedProjectDeploymentsMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignedProjectDeploymentsMetadata)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectName"u8);
+            writer.WriteStringValue(ProjectName);
+            writer.WritePropertyName("deploymentsMetadata"u8);
+            writer.WriteStartArray();
+            foreach (var item in DeploymentsMetadata)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        AssignedProjectDeploymentsMetadata IJsonModel<AssignedProjectDeploymentsMetadata>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedProjectDeploymentsMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignedProjectDeploymentsMetadata)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeAssignedProjectDeploymentsMetadata(document.RootElement, options);
+        }
+
+        internal static AssignedProjectDeploymentsMetadata DeserializeAssignedProjectDeploymentsMetadata(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string projectName = default;
+            IReadOnlyList<AssignedProjectDeploymentMetadata> deploymentsMetadata = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("projectName"u8))
+                {
+                    projectName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("deploymentsMetadata"u8))
+                {
+                    List<AssignedProjectDeploymentMetadata> array = new List<AssignedProjectDeploymentMetadata>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AssignedProjectDeploymentMetadata.DeserializeAssignedProjectDeploymentMetadata(item, options));
+                    }
+                    deploymentsMetadata = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new AssignedProjectDeploymentsMetadata(projectName, deploymentsMetadata, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<AssignedProjectDeploymentsMetadata>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedProjectDeploymentsMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(AssignedProjectDeploymentsMetadata)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        AssignedProjectDeploymentsMetadata IPersistableModel<AssignedProjectDeploymentsMetadata>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedProjectDeploymentsMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeAssignedProjectDeploymentsMetadata(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(AssignedProjectDeploymentsMetadata)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<AssignedProjectDeploymentsMetadata>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static AssignedProjectDeploymentsMetadata FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeAssignedProjectDeploymentsMetadata(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedProjectDeploymentsMetadata.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedProjectDeploymentsMetadata.cs
new file mode 100644
index 000000000000..3f6ee6a897ff
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedProjectDeploymentsMetadata.cs
@@ -0,0 +1,83 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the metadata for assigned deployments for a project. </summary>
+    public partial class AssignedProjectDeploymentsMetadata
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="AssignedProjectDeploymentsMetadata"/>. </summary>
+        /// <param name="projectName"> Represents the project name. </param>
+        /// <param name="deploymentsMetadata"> Represents the resource region. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="deploymentsMetadata"/> is null. </exception>
+        internal AssignedProjectDeploymentsMetadata(string projectName, IEnumerable<AssignedProjectDeploymentMetadata> deploymentsMetadata)
+        {
+            Argument.AssertNotNull(projectName, nameof(projectName));
+            Argument.AssertNotNull(deploymentsMetadata, nameof(deploymentsMetadata));
+
+            ProjectName = projectName;
+            DeploymentsMetadata = deploymentsMetadata.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignedProjectDeploymentsMetadata"/>. </summary>
+        /// <param name="projectName"> Represents the project name. </param>
+        /// <param name="deploymentsMetadata"> Represents the resource region. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal AssignedProjectDeploymentsMetadata(string projectName, IReadOnlyList<AssignedProjectDeploymentMetadata> deploymentsMetadata, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ProjectName = projectName;
+            DeploymentsMetadata = deploymentsMetadata;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignedProjectDeploymentsMetadata"/> for deserialization. </summary>
+        internal AssignedProjectDeploymentsMetadata()
+        {
+        }
+
+        /// <summary> Represents the project name. </summary>
+        public string ProjectName { get; }
+        /// <summary> Represents the resource region. </summary>
+        public IReadOnlyList<AssignedProjectDeploymentMetadata> DeploymentsMetadata { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedResourceDeploymentsMetadata.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedResourceDeploymentsMetadata.Serialization.cs
new file mode 100644
index 000000000000..0c9726ab28f9
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedResourceDeploymentsMetadata.Serialization.cs
@@ -0,0 +1,156 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class AssignedResourceDeploymentsMetadata : IUtf8JsonSerializable, IJsonModel<AssignedResourceDeploymentsMetadata>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<AssignedResourceDeploymentsMetadata>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<AssignedResourceDeploymentsMetadata>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedResourceDeploymentsMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignedResourceDeploymentsMetadata)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("value"u8);
+            writer.WriteStartArray();
+            foreach (var item in Value)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            if (Optional.IsDefined(NextLink))
+            {
+                writer.WritePropertyName("nextLink"u8);
+                writer.WriteStringValue(NextLink);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        AssignedResourceDeploymentsMetadata IJsonModel<AssignedResourceDeploymentsMetadata>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedResourceDeploymentsMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AssignedResourceDeploymentsMetadata)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeAssignedResourceDeploymentsMetadata(document.RootElement, options);
+        }
+
+        internal static AssignedResourceDeploymentsMetadata DeserializeAssignedResourceDeploymentsMetadata(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IReadOnlyList<AssignedProjectDeploymentsMetadata> value = default;
+            string nextLink = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("value"u8))
+                {
+                    List<AssignedProjectDeploymentsMetadata> array = new List<AssignedProjectDeploymentsMetadata>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AssignedProjectDeploymentsMetadata.DeserializeAssignedProjectDeploymentsMetadata(item, options));
+                    }
+                    value = array;
+                    continue;
+                }
+                if (property.NameEquals("nextLink"u8))
+                {
+                    nextLink = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new AssignedResourceDeploymentsMetadata(value, nextLink, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<AssignedResourceDeploymentsMetadata>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedResourceDeploymentsMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(AssignedResourceDeploymentsMetadata)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        AssignedResourceDeploymentsMetadata IPersistableModel<AssignedResourceDeploymentsMetadata>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AssignedResourceDeploymentsMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeAssignedResourceDeploymentsMetadata(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(AssignedResourceDeploymentsMetadata)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<AssignedResourceDeploymentsMetadata>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static AssignedResourceDeploymentsMetadata FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeAssignedResourceDeploymentsMetadata(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedResourceDeploymentsMetadata.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedResourceDeploymentsMetadata.cs
new file mode 100644
index 000000000000..6f0c3aa9bd3d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AssignedResourceDeploymentsMetadata.cs
@@ -0,0 +1,80 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the metadata for deployments assigned to a resource. </summary>
+    public partial class AssignedResourceDeploymentsMetadata
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="AssignedResourceDeploymentsMetadata"/>. </summary>
+        /// <param name="value"> The list of retrieved assigned project deployments. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        internal AssignedResourceDeploymentsMetadata(IEnumerable<AssignedProjectDeploymentsMetadata> value)
+        {
+            Argument.AssertNotNull(value, nameof(value));
+
+            Value = value.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignedResourceDeploymentsMetadata"/>. </summary>
+        /// <param name="value"> The list of retrieved assigned project deployments. </param>
+        /// <param name="nextLink"> The next page link. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal AssignedResourceDeploymentsMetadata(IReadOnlyList<AssignedProjectDeploymentsMetadata> value, string nextLink, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Value = value;
+            NextLink = nextLink;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AssignedResourceDeploymentsMetadata"/> for deserialization. </summary>
+        internal AssignedResourceDeploymentsMetadata()
+        {
+        }
+
+        /// <summary> The list of retrieved assigned project deployments. </summary>
+        public IReadOnlyList<AssignedProjectDeploymentsMetadata> Value { get; }
+        /// <summary> The next page link. </summary>
+        public string NextLink { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AuthoringConversationsError.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AuthoringConversationsError.Serialization.cs
new file mode 100644
index 000000000000..1b81284aa893
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AuthoringConversationsError.Serialization.cs
@@ -0,0 +1,200 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class AuthoringConversationsError : IUtf8JsonSerializable, IJsonModel<AuthoringConversationsError>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<AuthoringConversationsError>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<AuthoringConversationsError>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AuthoringConversationsError>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AuthoringConversationsError)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("code"u8);
+            writer.WriteStringValue(Code.ToString());
+            writer.WritePropertyName("message"u8);
+            writer.WriteStringValue(Message);
+            if (Optional.IsDefined(Target))
+            {
+                writer.WritePropertyName("target"u8);
+                writer.WriteStringValue(Target);
+            }
+            if (Optional.IsCollectionDefined(Details))
+            {
+                writer.WritePropertyName("details"u8);
+                writer.WriteStartArray();
+                foreach (var item in Details)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsDefined(Innererror))
+            {
+                writer.WritePropertyName("innererror"u8);
+                writer.WriteObjectValue(Innererror, options);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        AuthoringConversationsError IJsonModel<AuthoringConversationsError>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AuthoringConversationsError>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AuthoringConversationsError)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeAuthoringConversationsError(document.RootElement, options);
+        }
+
+        internal static AuthoringConversationsError DeserializeAuthoringConversationsError(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ErrorCode code = default;
+            string message = default;
+            string target = default;
+            IReadOnlyList<AuthoringConversationsError> details = default;
+            InnerErrorModel innererror = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("code"u8))
+                {
+                    code = new ErrorCode(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("message"u8))
+                {
+                    message = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("target"u8))
+                {
+                    target = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("details"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsError> array = new List<AuthoringConversationsError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(DeserializeAuthoringConversationsError(item, options));
+                    }
+                    details = array;
+                    continue;
+                }
+                if (property.NameEquals("innererror"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    innererror = InnerErrorModel.DeserializeInnerErrorModel(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new AuthoringConversationsError(
+                code,
+                message,
+                target,
+                details ?? new ChangeTrackingList<AuthoringConversationsError>(),
+                innererror,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<AuthoringConversationsError>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AuthoringConversationsError>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(AuthoringConversationsError)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        AuthoringConversationsError IPersistableModel<AuthoringConversationsError>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AuthoringConversationsError>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeAuthoringConversationsError(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(AuthoringConversationsError)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<AuthoringConversationsError>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static AuthoringConversationsError FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeAuthoringConversationsError(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AuthoringConversationsError.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AuthoringConversationsError.cs
new file mode 100644
index 000000000000..ca282ca83a9b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AuthoringConversationsError.cs
@@ -0,0 +1,100 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The error object. </summary>
+    public partial class AuthoringConversationsError
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="AuthoringConversationsError"/>. </summary>
+        /// <param name="code"> One of a server-defined set of error codes. </param>
+        /// <param name="message"> A human-readable representation of the error. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="message"/> is null. </exception>
+        internal AuthoringConversationsError(ErrorCode code, string message)
+        {
+            Argument.AssertNotNull(message, nameof(message));
+
+            Code = code;
+            Message = message;
+            Details = new ChangeTrackingList<AuthoringConversationsError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AuthoringConversationsError"/>. </summary>
+        /// <param name="code"> One of a server-defined set of error codes. </param>
+        /// <param name="message"> A human-readable representation of the error. </param>
+        /// <param name="target"> The target of the error. </param>
+        /// <param name="details"> An array of details about specific errors that led to this reported error. </param>
+        /// <param name="innererror">
+        /// An object containing more specific information than the current object about
+        /// the error.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal AuthoringConversationsError(ErrorCode code, string message, string target, IReadOnlyList<AuthoringConversationsError> details, InnerErrorModel innererror, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Code = code;
+            Message = message;
+            Target = target;
+            Details = details;
+            Innererror = innererror;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AuthoringConversationsError"/> for deserialization. </summary>
+        internal AuthoringConversationsError()
+        {
+        }
+
+        /// <summary> One of a server-defined set of error codes. </summary>
+        public ErrorCode Code { get; }
+        /// <summary> A human-readable representation of the error. </summary>
+        public string Message { get; }
+        /// <summary> The target of the error. </summary>
+        public string Target { get; }
+        /// <summary> An array of details about specific errors that led to this reported error. </summary>
+        public IReadOnlyList<AuthoringConversationsError> Details { get; }
+        /// <summary>
+        /// An object containing more specific information than the current object about
+        /// the error.
+        /// </summary>
+        public InnerErrorModel Innererror { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AuthoringConversationsWarning.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AuthoringConversationsWarning.Serialization.cs
new file mode 100644
index 000000000000..914c94b11421
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AuthoringConversationsWarning.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class AuthoringConversationsWarning : IUtf8JsonSerializable, IJsonModel<AuthoringConversationsWarning>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<AuthoringConversationsWarning>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<AuthoringConversationsWarning>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AuthoringConversationsWarning>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AuthoringConversationsWarning)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("code"u8);
+            writer.WriteStringValue(Code);
+            writer.WritePropertyName("message"u8);
+            writer.WriteStringValue(Message);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        AuthoringConversationsWarning IJsonModel<AuthoringConversationsWarning>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AuthoringConversationsWarning>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(AuthoringConversationsWarning)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeAuthoringConversationsWarning(document.RootElement, options);
+        }
+
+        internal static AuthoringConversationsWarning DeserializeAuthoringConversationsWarning(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string code = default;
+            string message = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("code"u8))
+                {
+                    code = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("message"u8))
+                {
+                    message = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new AuthoringConversationsWarning(code, message, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<AuthoringConversationsWarning>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AuthoringConversationsWarning>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(AuthoringConversationsWarning)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        AuthoringConversationsWarning IPersistableModel<AuthoringConversationsWarning>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<AuthoringConversationsWarning>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeAuthoringConversationsWarning(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(AuthoringConversationsWarning)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<AuthoringConversationsWarning>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static AuthoringConversationsWarning FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeAuthoringConversationsWarning(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AuthoringConversationsWarning.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AuthoringConversationsWarning.cs
new file mode 100644
index 000000000000..3e661e38a995
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/AuthoringConversationsWarning.cs
@@ -0,0 +1,82 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents a warning that was encountered while executing the request. </summary>
+    public partial class AuthoringConversationsWarning
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="AuthoringConversationsWarning"/>. </summary>
+        /// <param name="code"> The warning code. </param>
+        /// <param name="message"> The warning message. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="code"/> or <paramref name="message"/> is null. </exception>
+        internal AuthoringConversationsWarning(string code, string message)
+        {
+            Argument.AssertNotNull(code, nameof(code));
+            Argument.AssertNotNull(message, nameof(message));
+
+            Code = code;
+            Message = message;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AuthoringConversationsWarning"/>. </summary>
+        /// <param name="code"> The warning code. </param>
+        /// <param name="message"> The warning message. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal AuthoringConversationsWarning(string code, string message, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Code = code;
+            Message = message;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="AuthoringConversationsWarning"/> for deserialization. </summary>
+        internal AuthoringConversationsWarning()
+        {
+        }
+
+        /// <summary> The warning code. </summary>
+        public string Code { get; }
+        /// <summary> The warning message. </summary>
+        public string Message { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CompositionSetting.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CompositionSetting.cs
new file mode 100644
index 000000000000..bbc84bacb9c8
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CompositionSetting.cs
@@ -0,0 +1,70 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The CompositionSetting. </summary>
+    public readonly partial struct CompositionSetting : IEquatable<CompositionSetting>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="CompositionSetting"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public CompositionSetting(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string ReturnLongestOverlapValue = "returnLongestOverlap";
+        private const string RequireExactOverlapValue = "requireExactOverlap";
+        private const string SeparateComponentsValue = "separateComponents";
+        private const string CombineComponentsValue = "combineComponents";
+
+        /// <summary>
+        /// When two or more components are found in the text and overlap, the component
+        /// with the longest set of characters is returned.
+        /// </summary>
+        public static CompositionSetting ReturnLongestOverlap { get; } = new CompositionSetting(ReturnLongestOverlapValue);
+        /// <summary>
+        /// All components must overlap at the exact same characters in the text for the
+        /// entity to return. If one of the defined components is not matched or predicted,
+        /// the entity will not return.
+        /// </summary>
+        public static CompositionSetting RequireExactOverlap { get; } = new CompositionSetting(RequireExactOverlapValue);
+        /// <summary>
+        /// Every component's match or prediction is returned as a separate instance of the
+        /// entity.
+        /// </summary>
+        public static CompositionSetting SeparateComponents { get; } = new CompositionSetting(SeparateComponentsValue);
+        /// <summary>
+        /// When two or more components are found in the text and overlap, the components'
+        /// spans are merged together into one span combining all of them.
+        /// </summary>
+        public static CompositionSetting CombineComponents { get; } = new CompositionSetting(CombineComponentsValue);
+        /// <summary> Determines if two <see cref="CompositionSetting"/> values are the same. </summary>
+        public static bool operator ==(CompositionSetting left, CompositionSetting right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="CompositionSetting"/> values are not the same. </summary>
+        public static bool operator !=(CompositionSetting left, CompositionSetting right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="CompositionSetting"/>. </summary>
+        public static implicit operator CompositionSetting(string value) => new CompositionSetting(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is CompositionSetting other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(CompositionSetting other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrix.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrix.Serialization.cs
new file mode 100644
index 000000000000..6ae206c8189e
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrix.Serialization.cs
@@ -0,0 +1,121 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ConfusionMatrix : IUtf8JsonSerializable, IJsonModel<ConfusionMatrix>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ConfusionMatrix>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ConfusionMatrix>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrix>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConfusionMatrix)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            foreach (var item in AdditionalProperties)
+            {
+                writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                using (JsonDocument document = JsonDocument.Parse(item.Value))
+                {
+                    JsonSerializer.Serialize(writer, document.RootElement);
+                }
+#endif
+            }
+            writer.WriteEndObject();
+        }
+
+        ConfusionMatrix IJsonModel<ConfusionMatrix>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrix>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConfusionMatrix)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeConfusionMatrix(document.RootElement, options);
+        }
+
+        internal static ConfusionMatrix DeserializeConfusionMatrix(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IReadOnlyDictionary<string, BinaryData> additionalProperties = default;
+            Dictionary<string, BinaryData> additionalPropertiesDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                additionalPropertiesDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+            }
+            additionalProperties = additionalPropertiesDictionary;
+            return new ConfusionMatrix(additionalProperties);
+        }
+
+        BinaryData IPersistableModel<ConfusionMatrix>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrix>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ConfusionMatrix)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ConfusionMatrix IPersistableModel<ConfusionMatrix>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrix>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeConfusionMatrix(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ConfusionMatrix)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ConfusionMatrix>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ConfusionMatrix FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeConfusionMatrix(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrix.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrix.cs
new file mode 100644
index 000000000000..04c0528ecb07
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrix.cs
@@ -0,0 +1,69 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The ConfusionMatrix. </summary>
+    public partial class ConfusionMatrix
+    {
+        /// <summary> Initializes a new instance of <see cref="ConfusionMatrix"/>. </summary>
+        internal ConfusionMatrix()
+        {
+            AdditionalProperties = new ChangeTrackingDictionary<string, BinaryData>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ConfusionMatrix"/>. </summary>
+        /// <param name="additionalProperties"> Additional Properties. </param>
+        internal ConfusionMatrix(IReadOnlyDictionary<string, BinaryData> additionalProperties)
+        {
+            AdditionalProperties = additionalProperties;
+        }
+
+        /// <summary>
+        /// Additional Properties
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// <remarks>
+        /// Supported types:
+        /// <list type="bullet">
+        /// <item>
+        /// <description><see cref="ConfusionMatrixRow"/></description>
+        /// </item>
+        /// </list>
+        /// </remarks>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        public IReadOnlyDictionary<string, BinaryData> AdditionalProperties { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrixCell.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrixCell.Serialization.cs
new file mode 100644
index 000000000000..5824c9ef4a6c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrixCell.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ConfusionMatrixCell : IUtf8JsonSerializable, IJsonModel<ConfusionMatrixCell>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ConfusionMatrixCell>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ConfusionMatrixCell>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrixCell>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConfusionMatrixCell)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("normalizedValue"u8);
+            writer.WriteNumberValue(NormalizedValue);
+            writer.WritePropertyName("rawValue"u8);
+            writer.WriteNumberValue(RawValue);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ConfusionMatrixCell IJsonModel<ConfusionMatrixCell>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrixCell>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConfusionMatrixCell)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeConfusionMatrixCell(document.RootElement, options);
+        }
+
+        internal static ConfusionMatrixCell DeserializeConfusionMatrixCell(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            float normalizedValue = default;
+            float rawValue = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("normalizedValue"u8))
+                {
+                    normalizedValue = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("rawValue"u8))
+                {
+                    rawValue = property.Value.GetSingle();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ConfusionMatrixCell(normalizedValue, rawValue, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ConfusionMatrixCell>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrixCell>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ConfusionMatrixCell)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ConfusionMatrixCell IPersistableModel<ConfusionMatrixCell>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrixCell>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeConfusionMatrixCell(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ConfusionMatrixCell)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ConfusionMatrixCell>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ConfusionMatrixCell FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeConfusionMatrixCell(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrixCell.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrixCell.cs
new file mode 100644
index 000000000000..89befcb4dba1
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrixCell.cs
@@ -0,0 +1,78 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents a cell in a confusion matrix. </summary>
+    public partial class ConfusionMatrixCell
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ConfusionMatrixCell"/>. </summary>
+        /// <param name="normalizedValue"> Represents normalized value in percentages. </param>
+        /// <param name="rawValue"> Represents raw value. </param>
+        internal ConfusionMatrixCell(float normalizedValue, float rawValue)
+        {
+            NormalizedValue = normalizedValue;
+            RawValue = rawValue;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ConfusionMatrixCell"/>. </summary>
+        /// <param name="normalizedValue"> Represents normalized value in percentages. </param>
+        /// <param name="rawValue"> Represents raw value. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ConfusionMatrixCell(float normalizedValue, float rawValue, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            NormalizedValue = normalizedValue;
+            RawValue = rawValue;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ConfusionMatrixCell"/> for deserialization. </summary>
+        internal ConfusionMatrixCell()
+        {
+        }
+
+        /// <summary> Represents normalized value in percentages. </summary>
+        public float NormalizedValue { get; }
+        /// <summary> Represents raw value. </summary>
+        public float RawValue { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrixRow.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrixRow.Serialization.cs
new file mode 100644
index 000000000000..28e372f72ba6
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrixRow.Serialization.cs
@@ -0,0 +1,121 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ConfusionMatrixRow : IUtf8JsonSerializable, IJsonModel<ConfusionMatrixRow>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ConfusionMatrixRow>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ConfusionMatrixRow>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrixRow>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConfusionMatrixRow)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            foreach (var item in AdditionalProperties)
+            {
+                writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                using (JsonDocument document = JsonDocument.Parse(item.Value))
+                {
+                    JsonSerializer.Serialize(writer, document.RootElement);
+                }
+#endif
+            }
+            writer.WriteEndObject();
+        }
+
+        ConfusionMatrixRow IJsonModel<ConfusionMatrixRow>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrixRow>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConfusionMatrixRow)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeConfusionMatrixRow(document.RootElement, options);
+        }
+
+        internal static ConfusionMatrixRow DeserializeConfusionMatrixRow(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IReadOnlyDictionary<string, BinaryData> additionalProperties = default;
+            Dictionary<string, BinaryData> additionalPropertiesDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                additionalPropertiesDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+            }
+            additionalProperties = additionalPropertiesDictionary;
+            return new ConfusionMatrixRow(additionalProperties);
+        }
+
+        BinaryData IPersistableModel<ConfusionMatrixRow>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrixRow>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ConfusionMatrixRow)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ConfusionMatrixRow IPersistableModel<ConfusionMatrixRow>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConfusionMatrixRow>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeConfusionMatrixRow(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ConfusionMatrixRow)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ConfusionMatrixRow>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ConfusionMatrixRow FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeConfusionMatrixRow(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrixRow.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrixRow.cs
new file mode 100644
index 000000000000..3dd6d2252c09
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConfusionMatrixRow.cs
@@ -0,0 +1,69 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The ConfusionMatrixRow. </summary>
+    public partial class ConfusionMatrixRow
+    {
+        /// <summary> Initializes a new instance of <see cref="ConfusionMatrixRow"/>. </summary>
+        internal ConfusionMatrixRow()
+        {
+            AdditionalProperties = new ChangeTrackingDictionary<string, BinaryData>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ConfusionMatrixRow"/>. </summary>
+        /// <param name="additionalProperties"> Additional Properties. </param>
+        internal ConfusionMatrixRow(IReadOnlyDictionary<string, BinaryData> additionalProperties)
+        {
+            AdditionalProperties = additionalProperties;
+        }
+
+        /// <summary>
+        /// Additional Properties
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// <remarks>
+        /// Supported types:
+        /// <list type="bullet">
+        /// <item>
+        /// <description><see cref="ConfusionMatrixCell"/></description>
+        /// </item>
+        /// </list>
+        /// </remarks>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        public IReadOnlyDictionary<string, BinaryData> AdditionalProperties { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedEntity.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedEntity.Serialization.cs
new file mode 100644
index 000000000000..a4ec0d2f5559
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedEntity.Serialization.cs
@@ -0,0 +1,237 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ConversationExportedEntity : IUtf8JsonSerializable, IJsonModel<ConversationExportedEntity>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ConversationExportedEntity>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ConversationExportedEntity>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConversationExportedEntity>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConversationExportedEntity)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("category"u8);
+            writer.WriteStringValue(Category);
+            if (Optional.IsDefined(CompositionSetting))
+            {
+                writer.WritePropertyName("compositionSetting"u8);
+                writer.WriteStringValue(CompositionSetting.Value.ToString());
+            }
+            if (Optional.IsDefined(List))
+            {
+                writer.WritePropertyName("list"u8);
+                writer.WriteObjectValue(List, options);
+            }
+            if (Optional.IsCollectionDefined(Prebuilts))
+            {
+                writer.WritePropertyName("prebuilts"u8);
+                writer.WriteStartArray();
+                foreach (var item in Prebuilts)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsDefined(Regex))
+            {
+                writer.WritePropertyName("regex"u8);
+                writer.WriteObjectValue(Regex, options);
+            }
+            if (Optional.IsCollectionDefined(RequiredComponents))
+            {
+                writer.WritePropertyName("requiredComponents"u8);
+                writer.WriteStartArray();
+                foreach (var item in RequiredComponents)
+                {
+                    writer.WriteStringValue(item);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ConversationExportedEntity IJsonModel<ConversationExportedEntity>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConversationExportedEntity>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConversationExportedEntity)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeConversationExportedEntity(document.RootElement, options);
+        }
+
+        internal static ConversationExportedEntity DeserializeConversationExportedEntity(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string category = default;
+            CompositionSetting? compositionSetting = default;
+            ExportedEntityList list = default;
+            IList<ExportedPrebuiltEntity> prebuilts = default;
+            ExportedEntityRegex regex = default;
+            IList<string> requiredComponents = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("category"u8))
+                {
+                    category = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("compositionSetting"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    compositionSetting = new CompositionSetting(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("list"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    list = ExportedEntityList.DeserializeExportedEntityList(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("prebuilts"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedPrebuiltEntity> array = new List<ExportedPrebuiltEntity>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedPrebuiltEntity.DeserializeExportedPrebuiltEntity(item, options));
+                    }
+                    prebuilts = array;
+                    continue;
+                }
+                if (property.NameEquals("regex"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    regex = ExportedEntityRegex.DeserializeExportedEntityRegex(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("requiredComponents"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<string> array = new List<string>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(item.GetString());
+                    }
+                    requiredComponents = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ConversationExportedEntity(
+                category,
+                compositionSetting,
+                list,
+                prebuilts ?? new ChangeTrackingList<ExportedPrebuiltEntity>(),
+                regex,
+                requiredComponents ?? new ChangeTrackingList<string>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ConversationExportedEntity>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConversationExportedEntity>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ConversationExportedEntity)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ConversationExportedEntity IPersistableModel<ConversationExportedEntity>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConversationExportedEntity>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeConversationExportedEntity(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ConversationExportedEntity)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ConversationExportedEntity>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ConversationExportedEntity FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeConversationExportedEntity(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedEntity.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedEntity.cs
new file mode 100644
index 000000000000..cf4421e38475
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedEntity.cs
@@ -0,0 +1,97 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents an entity with its components. </summary>
+    public partial class ConversationExportedEntity
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ConversationExportedEntity"/>. </summary>
+        /// <param name="category"> The category of the entity. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="category"/> is null. </exception>
+        public ConversationExportedEntity(string category)
+        {
+            Argument.AssertNotNull(category, nameof(category));
+
+            Category = category;
+            Prebuilts = new ChangeTrackingList<ExportedPrebuiltEntity>();
+            RequiredComponents = new ChangeTrackingList<string>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ConversationExportedEntity"/>. </summary>
+        /// <param name="category"> The category of the entity. </param>
+        /// <param name="compositionSetting"> The behavior to follow when the entity's components overlap with each other. </param>
+        /// <param name="list"> The list component of the entity. </param>
+        /// <param name="prebuilts"> The prebuilt entities components. </param>
+        /// <param name="regex"> The regex component of the entity. </param>
+        /// <param name="requiredComponents"> The required components. Allowed values are 'learned', 'list', 'prebuilts' and 'regex'. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ConversationExportedEntity(string category, CompositionSetting? compositionSetting, ExportedEntityList list, IList<ExportedPrebuiltEntity> prebuilts, ExportedEntityRegex regex, IList<string> requiredComponents, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Category = category;
+            CompositionSetting = compositionSetting;
+            List = list;
+            Prebuilts = prebuilts;
+            Regex = regex;
+            RequiredComponents = requiredComponents;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ConversationExportedEntity"/> for deserialization. </summary>
+        internal ConversationExportedEntity()
+        {
+        }
+
+        /// <summary> The category of the entity. </summary>
+        public string Category { get; }
+        /// <summary> The behavior to follow when the entity's components overlap with each other. </summary>
+        public CompositionSetting? CompositionSetting { get; set; }
+        /// <summary> The list component of the entity. </summary>
+        public ExportedEntityList List { get; set; }
+        /// <summary> The prebuilt entities components. </summary>
+        public IList<ExportedPrebuiltEntity> Prebuilts { get; }
+        /// <summary> The regex component of the entity. </summary>
+        public ExportedEntityRegex Regex { get; set; }
+        /// <summary> The required components. Allowed values are 'learned', 'list', 'prebuilts' and 'regex'. </summary>
+        public IList<string> RequiredComponents { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedIntent.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedIntent.Serialization.cs
new file mode 100644
index 000000000000..c343b0eca1b8
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedIntent.Serialization.cs
@@ -0,0 +1,135 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ConversationExportedIntent : IUtf8JsonSerializable, IJsonModel<ConversationExportedIntent>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ConversationExportedIntent>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ConversationExportedIntent>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConversationExportedIntent>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConversationExportedIntent)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("category"u8);
+            writer.WriteStringValue(Category);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ConversationExportedIntent IJsonModel<ConversationExportedIntent>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConversationExportedIntent>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConversationExportedIntent)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeConversationExportedIntent(document.RootElement, options);
+        }
+
+        internal static ConversationExportedIntent DeserializeConversationExportedIntent(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string category = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("category"u8))
+                {
+                    category = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ConversationExportedIntent(category, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ConversationExportedIntent>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConversationExportedIntent>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ConversationExportedIntent)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ConversationExportedIntent IPersistableModel<ConversationExportedIntent>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConversationExportedIntent>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeConversationExportedIntent(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ConversationExportedIntent)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ConversationExportedIntent>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ConversationExportedIntent FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeConversationExportedIntent(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedIntent.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedIntent.cs
new file mode 100644
index 000000000000..fc9abd104803
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedIntent.cs
@@ -0,0 +1,75 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents an exported intent of a conversational project. </summary>
+    public partial class ConversationExportedIntent
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ConversationExportedIntent"/>. </summary>
+        /// <param name="category"> The intent category. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="category"/> is null. </exception>
+        public ConversationExportedIntent(string category)
+        {
+            Argument.AssertNotNull(category, nameof(category));
+
+            Category = category;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ConversationExportedIntent"/>. </summary>
+        /// <param name="category"> The intent category. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ConversationExportedIntent(string category, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Category = category;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ConversationExportedIntent"/> for deserialization. </summary>
+        internal ConversationExportedIntent()
+        {
+        }
+
+        /// <summary> The intent category. </summary>
+        public string Category { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedProjectAssets.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedProjectAssets.Serialization.cs
new file mode 100644
index 000000000000..c25d78f2e27d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedProjectAssets.Serialization.cs
@@ -0,0 +1,210 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ConversationExportedProjectAssets : IUtf8JsonSerializable, IJsonModel<ConversationExportedProjectAssets>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ConversationExportedProjectAssets>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ConversationExportedProjectAssets>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConversationExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConversationExportedProjectAssets)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(Intents))
+            {
+                writer.WritePropertyName("intents"u8);
+                writer.WriteStartArray();
+                foreach (var item in Intents)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Entities))
+            {
+                writer.WritePropertyName("entities"u8);
+                writer.WriteStartArray();
+                foreach (var item in Entities)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Utterances))
+            {
+                writer.WritePropertyName("utterances"u8);
+                writer.WriteStartArray();
+                foreach (var item in Utterances)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ConversationExportedProjectAssets IJsonModel<ConversationExportedProjectAssets>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConversationExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConversationExportedProjectAssets)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeConversationExportedProjectAssets(document.RootElement, options);
+        }
+
+        internal static ConversationExportedProjectAssets DeserializeConversationExportedProjectAssets(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<ConversationExportedIntent> intents = default;
+            IList<ConversationExportedEntity> entities = default;
+            IList<ConversationExportedUtterance> utterances = default;
+            ProjectKind projectKind = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("intents"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ConversationExportedIntent> array = new List<ConversationExportedIntent>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ConversationExportedIntent.DeserializeConversationExportedIntent(item, options));
+                    }
+                    intents = array;
+                    continue;
+                }
+                if (property.NameEquals("entities"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ConversationExportedEntity> array = new List<ConversationExportedEntity>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ConversationExportedEntity.DeserializeConversationExportedEntity(item, options));
+                    }
+                    entities = array;
+                    continue;
+                }
+                if (property.NameEquals("utterances"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ConversationExportedUtterance> array = new List<ConversationExportedUtterance>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ConversationExportedUtterance.DeserializeConversationExportedUtterance(item, options));
+                    }
+                    utterances = array;
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ConversationExportedProjectAssets(projectKind, serializedAdditionalRawData, intents ?? new ChangeTrackingList<ConversationExportedIntent>(), entities ?? new ChangeTrackingList<ConversationExportedEntity>(), utterances ?? new ChangeTrackingList<ConversationExportedUtterance>());
+        }
+
+        BinaryData IPersistableModel<ConversationExportedProjectAssets>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConversationExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ConversationExportedProjectAssets)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ConversationExportedProjectAssets IPersistableModel<ConversationExportedProjectAssets>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConversationExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeConversationExportedProjectAssets(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ConversationExportedProjectAssets)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ConversationExportedProjectAssets>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new ConversationExportedProjectAssets FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeConversationExportedProjectAssets(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedProjectAssets.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedProjectAssets.cs
new file mode 100644
index 000000000000..a032124bb77a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedProjectAssets.cs
@@ -0,0 +1,45 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the exported assets of a conversational project. </summary>
+    public partial class ConversationExportedProjectAssets : ExportedProjectAssets
+    {
+        /// <summary> Initializes a new instance of <see cref="ConversationExportedProjectAssets"/>. </summary>
+        public ConversationExportedProjectAssets()
+        {
+            ProjectKind = ProjectKind.Conversation;
+            Intents = new ChangeTrackingList<ConversationExportedIntent>();
+            Entities = new ChangeTrackingList<ConversationExportedEntity>();
+            Utterances = new ChangeTrackingList<ConversationExportedUtterance>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ConversationExportedProjectAssets"/>. </summary>
+        /// <param name="projectKind"> The type of project containing the assets. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="intents"> The intents defined in the project. </param>
+        /// <param name="entities"> The entities defined in the project. </param>
+        /// <param name="utterances"> The utterances defined in the project. </param>
+        internal ConversationExportedProjectAssets(ProjectKind projectKind, IDictionary<string, BinaryData> serializedAdditionalRawData, IList<ConversationExportedIntent> intents, IList<ConversationExportedEntity> entities, IList<ConversationExportedUtterance> utterances) : base(projectKind, serializedAdditionalRawData)
+        {
+            Intents = intents;
+            Entities = entities;
+            Utterances = utterances;
+        }
+
+        /// <summary> The intents defined in the project. </summary>
+        public IList<ConversationExportedIntent> Intents { get; }
+        /// <summary> The entities defined in the project. </summary>
+        public IList<ConversationExportedEntity> Entities { get; }
+        /// <summary> The utterances defined in the project. </summary>
+        public IList<ConversationExportedUtterance> Utterances { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedUtterance.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedUtterance.Serialization.cs
new file mode 100644
index 000000000000..5d51ab23ea51
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedUtterance.Serialization.cs
@@ -0,0 +1,196 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ConversationExportedUtterance : IUtf8JsonSerializable, IJsonModel<ConversationExportedUtterance>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ConversationExportedUtterance>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ConversationExportedUtterance>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConversationExportedUtterance>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConversationExportedUtterance)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(Entities))
+            {
+                writer.WritePropertyName("entities"u8);
+                writer.WriteStartArray();
+                foreach (var item in Entities)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            writer.WritePropertyName("text"u8);
+            writer.WriteStringValue(Text);
+            if (Optional.IsDefined(Language))
+            {
+                writer.WritePropertyName("language"u8);
+                writer.WriteStringValue(Language);
+            }
+            writer.WritePropertyName("intent"u8);
+            writer.WriteStringValue(Intent);
+            if (Optional.IsDefined(Dataset))
+            {
+                writer.WritePropertyName("dataset"u8);
+                writer.WriteStringValue(Dataset);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ConversationExportedUtterance IJsonModel<ConversationExportedUtterance>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConversationExportedUtterance>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ConversationExportedUtterance)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeConversationExportedUtterance(document.RootElement, options);
+        }
+
+        internal static ConversationExportedUtterance DeserializeConversationExportedUtterance(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<ExportedUtteranceEntityLabel> entities = default;
+            string text = default;
+            string language = default;
+            string intent = default;
+            string dataset = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("entities"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedUtteranceEntityLabel> array = new List<ExportedUtteranceEntityLabel>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedUtteranceEntityLabel.DeserializeExportedUtteranceEntityLabel(item, options));
+                    }
+                    entities = array;
+                    continue;
+                }
+                if (property.NameEquals("text"u8))
+                {
+                    text = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("intent"u8))
+                {
+                    intent = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("dataset"u8))
+                {
+                    dataset = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ConversationExportedUtterance(
+                entities ?? new ChangeTrackingList<ExportedUtteranceEntityLabel>(),
+                text,
+                language,
+                intent,
+                dataset,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ConversationExportedUtterance>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConversationExportedUtterance>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ConversationExportedUtterance)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ConversationExportedUtterance IPersistableModel<ConversationExportedUtterance>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ConversationExportedUtterance>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeConversationExportedUtterance(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ConversationExportedUtterance)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ConversationExportedUtterance>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ConversationExportedUtterance FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeConversationExportedUtterance(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedUtterance.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedUtterance.cs
new file mode 100644
index 000000000000..febf047a1823
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ConversationExportedUtterance.cs
@@ -0,0 +1,103 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents an exported utterance for a conversational project. </summary>
+    public partial class ConversationExportedUtterance
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ConversationExportedUtterance"/>. </summary>
+        /// <param name="text"> The utterance text. </param>
+        /// <param name="intent"> The intent of the utterance. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="text"/> or <paramref name="intent"/> is null. </exception>
+        public ConversationExportedUtterance(string text, string intent)
+        {
+            Argument.AssertNotNull(text, nameof(text));
+            Argument.AssertNotNull(intent, nameof(intent));
+
+            Entities = new ChangeTrackingList<ExportedUtteranceEntityLabel>();
+            Text = text;
+            Intent = intent;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ConversationExportedUtterance"/>. </summary>
+        /// <param name="entities"> Represents the entity labels of the utterance. </param>
+        /// <param name="text"> The utterance text. </param>
+        /// <param name="language">
+        /// Represents the utterance's language. This is BCP-47 representation of a
+        /// language. For example, use "en" for English, "en-gb" for English (UK), "es" for
+        /// Spanish etc.
+        /// </param>
+        /// <param name="intent"> The intent of the utterance. </param>
+        /// <param name="dataset"> The dataset for this utterance. Allowed values are 'Train' and 'Test'. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ConversationExportedUtterance(IList<ExportedUtteranceEntityLabel> entities, string text, string language, string intent, string dataset, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Entities = entities;
+            Text = text;
+            Language = language;
+            Intent = intent;
+            Dataset = dataset;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ConversationExportedUtterance"/> for deserialization. </summary>
+        internal ConversationExportedUtterance()
+        {
+        }
+
+        /// <summary> Represents the entity labels of the utterance. </summary>
+        public IList<ExportedUtteranceEntityLabel> Entities { get; }
+        /// <summary> The utterance text. </summary>
+        public string Text { get; }
+        /// <summary>
+        /// Represents the utterance's language. This is BCP-47 representation of a
+        /// language. For example, use "en" for English, "en-gb" for English (UK), "es" for
+        /// Spanish etc.
+        /// </summary>
+        public string Language { get; set; }
+        /// <summary> The intent of the utterance. </summary>
+        public string Intent { get; }
+        /// <summary> The dataset for this utterance. Allowed values are 'Train' and 'Test'. </summary>
+        public string Dataset { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CopyProjectAuthorizationRequest.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CopyProjectAuthorizationRequest.Serialization.cs
new file mode 100644
index 000000000000..a8eb5420c8d0
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CopyProjectAuthorizationRequest.Serialization.cs
@@ -0,0 +1,161 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    internal partial class CopyProjectAuthorizationRequest : IUtf8JsonSerializable, IJsonModel<CopyProjectAuthorizationRequest>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CopyProjectAuthorizationRequest>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CopyProjectAuthorizationRequest>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CopyProjectAuthorizationRequest>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CopyProjectAuthorizationRequest)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            if (Optional.IsDefined(StorageInputContainerName))
+            {
+                writer.WritePropertyName("storageInputContainerName"u8);
+                writer.WriteStringValue(StorageInputContainerName);
+            }
+            if (Optional.IsDefined(AllowOverwrite))
+            {
+                writer.WritePropertyName("allowOverwrite"u8);
+                writer.WriteBooleanValue(AllowOverwrite.Value);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CopyProjectAuthorizationRequest IJsonModel<CopyProjectAuthorizationRequest>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CopyProjectAuthorizationRequest>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CopyProjectAuthorizationRequest)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCopyProjectAuthorizationRequest(document.RootElement, options);
+        }
+
+        internal static CopyProjectAuthorizationRequest DeserializeCopyProjectAuthorizationRequest(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ProjectKind projectKind = default;
+            string storageInputContainerName = default;
+            bool? allowOverwrite = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("storageInputContainerName"u8))
+                {
+                    storageInputContainerName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("allowOverwrite"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    allowOverwrite = property.Value.GetBoolean();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CopyProjectAuthorizationRequest(projectKind, storageInputContainerName, allowOverwrite, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<CopyProjectAuthorizationRequest>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CopyProjectAuthorizationRequest>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CopyProjectAuthorizationRequest)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CopyProjectAuthorizationRequest IPersistableModel<CopyProjectAuthorizationRequest>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CopyProjectAuthorizationRequest>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCopyProjectAuthorizationRequest(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CopyProjectAuthorizationRequest)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CopyProjectAuthorizationRequest>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static CopyProjectAuthorizationRequest FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCopyProjectAuthorizationRequest(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CopyProjectAuthorizationRequest.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CopyProjectAuthorizationRequest.cs
new file mode 100644
index 000000000000..e82e169ea71d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CopyProjectAuthorizationRequest.cs
@@ -0,0 +1,80 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The CopyProjectAuthorizationRequest. </summary>
+    internal partial class CopyProjectAuthorizationRequest
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="CopyProjectAuthorizationRequest"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        internal CopyProjectAuthorizationRequest(ProjectKind projectKind)
+        {
+            ProjectKind = projectKind;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CopyProjectAuthorizationRequest"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="storageInputContainerName"> The name of the storage container. </param>
+        /// <param name="allowOverwrite"> Whether to allow an existing project to be overwritten using the resulting copy authorization. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal CopyProjectAuthorizationRequest(ProjectKind projectKind, string storageInputContainerName, bool? allowOverwrite, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ProjectKind = projectKind;
+            StorageInputContainerName = storageInputContainerName;
+            AllowOverwrite = allowOverwrite;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CopyProjectAuthorizationRequest"/> for deserialization. </summary>
+        internal CopyProjectAuthorizationRequest()
+        {
+        }
+
+        /// <summary> Represents the project kind. </summary>
+        public ProjectKind ProjectKind { get; }
+        /// <summary> The name of the storage container. </summary>
+        public string StorageInputContainerName { get; }
+        /// <summary> Whether to allow an existing project to be overwritten using the resulting copy authorization. </summary>
+        public bool? AllowOverwrite { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CopyProjectConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CopyProjectConfig.Serialization.cs
new file mode 100644
index 000000000000..1bc843b8c8df
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CopyProjectConfig.Serialization.cs
@@ -0,0 +1,182 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class CopyProjectConfig : IUtf8JsonSerializable, IJsonModel<CopyProjectConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CopyProjectConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CopyProjectConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CopyProjectConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CopyProjectConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            writer.WritePropertyName("targetProjectName"u8);
+            writer.WriteStringValue(TargetProjectName);
+            writer.WritePropertyName("accessToken"u8);
+            writer.WriteStringValue(AccessToken);
+            writer.WritePropertyName("expiresAt"u8);
+            writer.WriteStringValue(ExpiresAt, "O");
+            writer.WritePropertyName("targetResourceId"u8);
+            writer.WriteStringValue(TargetResourceId);
+            writer.WritePropertyName("targetResourceRegion"u8);
+            writer.WriteStringValue(TargetResourceRegion);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CopyProjectConfig IJsonModel<CopyProjectConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CopyProjectConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CopyProjectConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCopyProjectConfig(document.RootElement, options);
+        }
+
+        internal static CopyProjectConfig DeserializeCopyProjectConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ProjectKind projectKind = default;
+            string targetProjectName = default;
+            string accessToken = default;
+            DateTimeOffset expiresAt = default;
+            string targetResourceId = default;
+            string targetResourceRegion = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("targetProjectName"u8))
+                {
+                    targetProjectName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("accessToken"u8))
+                {
+                    accessToken = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("expiresAt"u8))
+                {
+                    expiresAt = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("targetResourceId"u8))
+                {
+                    targetResourceId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("targetResourceRegion"u8))
+                {
+                    targetResourceRegion = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CopyProjectConfig(
+                projectKind,
+                targetProjectName,
+                accessToken,
+                expiresAt,
+                targetResourceId,
+                targetResourceRegion,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<CopyProjectConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CopyProjectConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CopyProjectConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CopyProjectConfig IPersistableModel<CopyProjectConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CopyProjectConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCopyProjectConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CopyProjectConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CopyProjectConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static CopyProjectConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCopyProjectConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CopyProjectConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CopyProjectConfig.cs
new file mode 100644
index 000000000000..bbff4d00f07e
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CopyProjectConfig.cs
@@ -0,0 +1,111 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary>
+    /// Represents the options for copying an existing project to another Azure
+    /// resource.
+    /// </summary>
+    public partial class CopyProjectConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="CopyProjectConfig"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="targetProjectName"> The project name to be copied-into. </param>
+        /// <param name="accessToken"> The access token. </param>
+        /// <param name="expiresAt"> The expiration of the access token. </param>
+        /// <param name="targetResourceId"> Represents the target Azure resource ID. </param>
+        /// <param name="targetResourceRegion"> Represents the target Azure resource region. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="targetProjectName"/>, <paramref name="accessToken"/>, <paramref name="targetResourceId"/> or <paramref name="targetResourceRegion"/> is null. </exception>
+        public CopyProjectConfig(ProjectKind projectKind, string targetProjectName, string accessToken, DateTimeOffset expiresAt, string targetResourceId, string targetResourceRegion)
+        {
+            Argument.AssertNotNull(targetProjectName, nameof(targetProjectName));
+            Argument.AssertNotNull(accessToken, nameof(accessToken));
+            Argument.AssertNotNull(targetResourceId, nameof(targetResourceId));
+            Argument.AssertNotNull(targetResourceRegion, nameof(targetResourceRegion));
+
+            ProjectKind = projectKind;
+            TargetProjectName = targetProjectName;
+            AccessToken = accessToken;
+            ExpiresAt = expiresAt;
+            TargetResourceId = targetResourceId;
+            TargetResourceRegion = targetResourceRegion;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CopyProjectConfig"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="targetProjectName"> The project name to be copied-into. </param>
+        /// <param name="accessToken"> The access token. </param>
+        /// <param name="expiresAt"> The expiration of the access token. </param>
+        /// <param name="targetResourceId"> Represents the target Azure resource ID. </param>
+        /// <param name="targetResourceRegion"> Represents the target Azure resource region. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal CopyProjectConfig(ProjectKind projectKind, string targetProjectName, string accessToken, DateTimeOffset expiresAt, string targetResourceId, string targetResourceRegion, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ProjectKind = projectKind;
+            TargetProjectName = targetProjectName;
+            AccessToken = accessToken;
+            ExpiresAt = expiresAt;
+            TargetResourceId = targetResourceId;
+            TargetResourceRegion = targetResourceRegion;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CopyProjectConfig"/> for deserialization. </summary>
+        internal CopyProjectConfig()
+        {
+        }
+
+        /// <summary> Represents the project kind. </summary>
+        public ProjectKind ProjectKind { get; set; }
+        /// <summary> The project name to be copied-into. </summary>
+        public string TargetProjectName { get; set; }
+        /// <summary> The access token. </summary>
+        public string AccessToken { get; set; }
+        /// <summary> The expiration of the access token. </summary>
+        public DateTimeOffset ExpiresAt { get; set; }
+        /// <summary> Represents the target Azure resource ID. </summary>
+        public string TargetResourceId { get; set; }
+        /// <summary> Represents the target Azure resource region. </summary>
+        public string TargetResourceRegion { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CreateDeploymentConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CreateDeploymentConfig.Serialization.cs
new file mode 100644
index 000000000000..d7e622b18724
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CreateDeploymentConfig.Serialization.cs
@@ -0,0 +1,160 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class CreateDeploymentConfig : IUtf8JsonSerializable, IJsonModel<CreateDeploymentConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CreateDeploymentConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CreateDeploymentConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CreateDeploymentConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CreateDeploymentConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("trainedModelLabel"u8);
+            writer.WriteStringValue(TrainedModelLabel);
+            if (Optional.IsCollectionDefined(AssignedResourceIds))
+            {
+                writer.WritePropertyName("assignedResourceIds"u8);
+                writer.WriteStartArray();
+                foreach (var item in AssignedResourceIds)
+                {
+                    writer.WriteStringValue(item);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CreateDeploymentConfig IJsonModel<CreateDeploymentConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CreateDeploymentConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CreateDeploymentConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCreateDeploymentConfig(document.RootElement, options);
+        }
+
+        internal static CreateDeploymentConfig DeserializeCreateDeploymentConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string trainedModelLabel = default;
+            IList<string> assignedResourceIds = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("trainedModelLabel"u8))
+                {
+                    trainedModelLabel = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("assignedResourceIds"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<string> array = new List<string>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(item.GetString());
+                    }
+                    assignedResourceIds = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CreateDeploymentConfig(trainedModelLabel, assignedResourceIds ?? new ChangeTrackingList<string>(), serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<CreateDeploymentConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CreateDeploymentConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CreateDeploymentConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CreateDeploymentConfig IPersistableModel<CreateDeploymentConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CreateDeploymentConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCreateDeploymentConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CreateDeploymentConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CreateDeploymentConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static CreateDeploymentConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCreateDeploymentConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CreateDeploymentConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CreateDeploymentConfig.cs
new file mode 100644
index 000000000000..abcffc46baa2
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CreateDeploymentConfig.cs
@@ -0,0 +1,88 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the options for creating or updating a project deployment. </summary>
+    public partial class CreateDeploymentConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="CreateDeploymentConfig"/>. </summary>
+        /// <param name="trainedModelLabel"> Represents the trained model label. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="trainedModelLabel"/> is null. </exception>
+        public CreateDeploymentConfig(string trainedModelLabel)
+        {
+            Argument.AssertNotNull(trainedModelLabel, nameof(trainedModelLabel));
+
+            TrainedModelLabel = trainedModelLabel;
+            AssignedResourceIds = new ChangeTrackingList<string>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CreateDeploymentConfig"/>. </summary>
+        /// <param name="trainedModelLabel"> Represents the trained model label. </param>
+        /// <param name="assignedResourceIds">
+        /// Represents the resource IDs to be assigned to the deployment.
+        /// If provided, the deployment will be rolled out to the resources
+        /// provided here as well as the original resource in which the project is created.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal CreateDeploymentConfig(string trainedModelLabel, IList<string> assignedResourceIds, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            TrainedModelLabel = trainedModelLabel;
+            AssignedResourceIds = assignedResourceIds;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CreateDeploymentConfig"/> for deserialization. </summary>
+        internal CreateDeploymentConfig()
+        {
+        }
+
+        /// <summary> Represents the trained model label. </summary>
+        public string TrainedModelLabel { get; }
+        /// <summary>
+        /// Represents the resource IDs to be assigned to the deployment.
+        /// If provided, the deployment will be rolled out to the resources
+        /// provided here as well as the original resource in which the project is created.
+        /// </summary>
+        public IList<string> AssignedResourceIds { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CreateProjectConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CreateProjectConfig.Serialization.cs
new file mode 100644
index 000000000000..d6b111ca1354
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CreateProjectConfig.Serialization.cs
@@ -0,0 +1,211 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class CreateProjectConfig : IUtf8JsonSerializable, IJsonModel<CreateProjectConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<CreateProjectConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<CreateProjectConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CreateProjectConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CreateProjectConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            if (Optional.IsDefined(Settings))
+            {
+                writer.WritePropertyName("settings"u8);
+                writer.WriteObjectValue(Settings, options);
+            }
+            if (Optional.IsDefined(StorageInputContainerName))
+            {
+                writer.WritePropertyName("storageInputContainerName"u8);
+                writer.WriteStringValue(StorageInputContainerName);
+            }
+            writer.WritePropertyName("projectName"u8);
+            writer.WriteStringValue(ProjectName);
+            if (Optional.IsDefined(Multilingual))
+            {
+                writer.WritePropertyName("multilingual"u8);
+                writer.WriteBooleanValue(Multilingual.Value);
+            }
+            if (Optional.IsDefined(Description))
+            {
+                writer.WritePropertyName("description"u8);
+                writer.WriteStringValue(Description);
+            }
+            writer.WritePropertyName("language"u8);
+            writer.WriteStringValue(Language);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        CreateProjectConfig IJsonModel<CreateProjectConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CreateProjectConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(CreateProjectConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeCreateProjectConfig(document.RootElement, options);
+        }
+
+        internal static CreateProjectConfig DeserializeCreateProjectConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ProjectKind projectKind = default;
+            ProjectSettings settings = default;
+            string storageInputContainerName = default;
+            string projectName = default;
+            bool? multilingual = default;
+            string description = default;
+            string language = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("settings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    settings = ProjectSettings.DeserializeProjectSettings(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("storageInputContainerName"u8))
+                {
+                    storageInputContainerName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("projectName"u8))
+                {
+                    projectName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("multilingual"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    multilingual = property.Value.GetBoolean();
+                    continue;
+                }
+                if (property.NameEquals("description"u8))
+                {
+                    description = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new CreateProjectConfig(
+                projectKind,
+                settings,
+                storageInputContainerName,
+                projectName,
+                multilingual,
+                description,
+                language,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<CreateProjectConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CreateProjectConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(CreateProjectConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        CreateProjectConfig IPersistableModel<CreateProjectConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<CreateProjectConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeCreateProjectConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(CreateProjectConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<CreateProjectConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static CreateProjectConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeCreateProjectConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CreateProjectConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CreateProjectConfig.cs
new file mode 100644
index 000000000000..624bd030f005
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/CreateProjectConfig.cs
@@ -0,0 +1,104 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the options used to create or update a project. </summary>
+    public partial class CreateProjectConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="CreateProjectConfig"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="language"> The project language. This is BCP-47 representation of a language. For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish etc. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="language"/> is null. </exception>
+        public CreateProjectConfig(ProjectKind projectKind, string projectName, string language)
+        {
+            Argument.AssertNotNull(projectName, nameof(projectName));
+            Argument.AssertNotNull(language, nameof(language));
+
+            ProjectKind = projectKind;
+            ProjectName = projectName;
+            Language = language;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CreateProjectConfig"/>. </summary>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="settings"> The project settings. </param>
+        /// <param name="storageInputContainerName"> The storage container name in case of conversation summarization. </param>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="multilingual"> Whether the project would be used for multiple languages or not. </param>
+        /// <param name="description"> The project description. </param>
+        /// <param name="language"> The project language. This is BCP-47 representation of a language. For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish etc. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal CreateProjectConfig(ProjectKind projectKind, ProjectSettings settings, string storageInputContainerName, string projectName, bool? multilingual, string description, string language, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ProjectKind = projectKind;
+            Settings = settings;
+            StorageInputContainerName = storageInputContainerName;
+            ProjectName = projectName;
+            Multilingual = multilingual;
+            Description = description;
+            Language = language;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="CreateProjectConfig"/> for deserialization. </summary>
+        internal CreateProjectConfig()
+        {
+        }
+
+        /// <summary> Represents the project kind. </summary>
+        public ProjectKind ProjectKind { get; }
+        /// <summary> The project settings. </summary>
+        public ProjectSettings Settings { get; set; }
+        /// <summary> The storage container name in case of conversation summarization. </summary>
+        public string StorageInputContainerName { get; set; }
+        /// <summary> The new project name. </summary>
+        public string ProjectName { get; }
+        /// <summary> Whether the project would be used for multiple languages or not. </summary>
+        public bool? Multilingual { get; set; }
+        /// <summary> The project description. </summary>
+        public string Description { get; set; }
+        /// <summary> The project language. This is BCP-47 representation of a language. For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish etc. </summary>
+        public string Language { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/DeleteDeploymentConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/DeleteDeploymentConfig.Serialization.cs
new file mode 100644
index 000000000000..37c9a7784b91
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/DeleteDeploymentConfig.Serialization.cs
@@ -0,0 +1,152 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class DeleteDeploymentConfig : IUtf8JsonSerializable, IJsonModel<DeleteDeploymentConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<DeleteDeploymentConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<DeleteDeploymentConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DeleteDeploymentConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DeleteDeploymentConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(AssignedResourceIds))
+            {
+                writer.WritePropertyName("assignedResourceIds"u8);
+                writer.WriteStartArray();
+                foreach (var item in AssignedResourceIds)
+                {
+                    writer.WriteStringValue(item);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        DeleteDeploymentConfig IJsonModel<DeleteDeploymentConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DeleteDeploymentConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DeleteDeploymentConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeDeleteDeploymentConfig(document.RootElement, options);
+        }
+
+        internal static DeleteDeploymentConfig DeserializeDeleteDeploymentConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<string> assignedResourceIds = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("assignedResourceIds"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<string> array = new List<string>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(item.GetString());
+                    }
+                    assignedResourceIds = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new DeleteDeploymentConfig(assignedResourceIds ?? new ChangeTrackingList<string>(), serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<DeleteDeploymentConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DeleteDeploymentConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(DeleteDeploymentConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        DeleteDeploymentConfig IPersistableModel<DeleteDeploymentConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DeleteDeploymentConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeDeleteDeploymentConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(DeleteDeploymentConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<DeleteDeploymentConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static DeleteDeploymentConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeDeleteDeploymentConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/DeleteDeploymentConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/DeleteDeploymentConfig.cs
new file mode 100644
index 000000000000..d625f82422e3
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/DeleteDeploymentConfig.cs
@@ -0,0 +1,78 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the options for deleting a project deployment. </summary>
+    public partial class DeleteDeploymentConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="DeleteDeploymentConfig"/>. </summary>
+        public DeleteDeploymentConfig()
+        {
+            AssignedResourceIds = new ChangeTrackingList<string>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DeleteDeploymentConfig"/>. </summary>
+        /// <param name="assignedResourceIds">
+        /// Represents the resource IDs to delete the deployment from.
+        /// If not provided, the deployment will be rolled out from all the
+        /// resources it is deployed to.
+        /// If provided, it will delete the deployment only from the specified
+        /// assigned resources, and leave it for the rest.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal DeleteDeploymentConfig(IList<string> assignedResourceIds, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            AssignedResourceIds = assignedResourceIds;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary>
+        /// Represents the resource IDs to delete the deployment from.
+        /// If not provided, the deployment will be rolled out from all the
+        /// resources it is deployed to.
+        /// If provided, it will delete the deployment only from the specified
+        /// assigned resources, and leave it for the rest.
+        /// </summary>
+        public IList<string> AssignedResourceIds { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/DeploymentResource.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/DeploymentResource.Serialization.cs
new file mode 100644
index 000000000000..a228e7a521e7
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/DeploymentResource.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class DeploymentResource : IUtf8JsonSerializable, IJsonModel<DeploymentResource>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<DeploymentResource>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<DeploymentResource>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DeploymentResource>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DeploymentResource)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("resourceId"u8);
+            writer.WriteStringValue(ResourceId);
+            writer.WritePropertyName("region"u8);
+            writer.WriteStringValue(Region);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        DeploymentResource IJsonModel<DeploymentResource>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DeploymentResource>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(DeploymentResource)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeDeploymentResource(document.RootElement, options);
+        }
+
+        internal static DeploymentResource DeserializeDeploymentResource(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string resourceId = default;
+            string region = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("resourceId"u8))
+                {
+                    resourceId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("region"u8))
+                {
+                    region = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new DeploymentResource(resourceId, region, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<DeploymentResource>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DeploymentResource>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(DeploymentResource)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        DeploymentResource IPersistableModel<DeploymentResource>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<DeploymentResource>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeDeploymentResource(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(DeploymentResource)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<DeploymentResource>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static DeploymentResource FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeDeploymentResource(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/DeploymentResource.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/DeploymentResource.cs
new file mode 100644
index 000000000000..798bce9e4a96
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/DeploymentResource.cs
@@ -0,0 +1,82 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents an Azure resource assigned to a deployment. </summary>
+    public partial class DeploymentResource
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="DeploymentResource"/>. </summary>
+        /// <param name="resourceId"> Represents the Azure resource Id. </param>
+        /// <param name="region"> Represents the resource region. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="resourceId"/> or <paramref name="region"/> is null. </exception>
+        internal DeploymentResource(string resourceId, string region)
+        {
+            Argument.AssertNotNull(resourceId, nameof(resourceId));
+            Argument.AssertNotNull(region, nameof(region));
+
+            ResourceId = resourceId;
+            Region = region;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DeploymentResource"/>. </summary>
+        /// <param name="resourceId"> Represents the Azure resource Id. </param>
+        /// <param name="region"> Represents the resource region. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal DeploymentResource(string resourceId, string region, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ResourceId = resourceId;
+            Region = region;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="DeploymentResource"/> for deserialization. </summary>
+        internal DeploymentResource()
+        {
+        }
+
+        /// <summary> Represents the Azure resource Id. </summary>
+        public string ResourceId { get; }
+        /// <summary> Represents the resource region. </summary>
+        public string Region { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EntitiesEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EntitiesEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..ff692912ae62
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EntitiesEvaluationSummary.Serialization.cs
@@ -0,0 +1,211 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class EntitiesEvaluationSummary : IUtf8JsonSerializable, IJsonModel<EntitiesEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<EntitiesEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<EntitiesEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EntitiesEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EntitiesEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("confusionMatrix"u8);
+            writer.WriteObjectValue(ConfusionMatrix, options);
+            writer.WritePropertyName("entities"u8);
+            writer.WriteStartObject();
+            foreach (var item in Entities)
+            {
+                writer.WritePropertyName(item.Key);
+                writer.WriteObjectValue(item.Value, options);
+            }
+            writer.WriteEndObject();
+            writer.WritePropertyName("microF1"u8);
+            writer.WriteNumberValue(MicroF1);
+            writer.WritePropertyName("microPrecision"u8);
+            writer.WriteNumberValue(MicroPrecision);
+            writer.WritePropertyName("microRecall"u8);
+            writer.WriteNumberValue(MicroRecall);
+            writer.WritePropertyName("macroF1"u8);
+            writer.WriteNumberValue(MacroF1);
+            writer.WritePropertyName("macroPrecision"u8);
+            writer.WriteNumberValue(MacroPrecision);
+            writer.WritePropertyName("macroRecall"u8);
+            writer.WriteNumberValue(MacroRecall);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        EntitiesEvaluationSummary IJsonModel<EntitiesEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EntitiesEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EntitiesEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeEntitiesEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static EntitiesEvaluationSummary DeserializeEntitiesEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ConfusionMatrix confusionMatrix = default;
+            IReadOnlyDictionary<string, EntityEvaluationSummary> entities = default;
+            float microF1 = default;
+            float microPrecision = default;
+            float microRecall = default;
+            float macroF1 = default;
+            float macroPrecision = default;
+            float macroRecall = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("confusionMatrix"u8))
+                {
+                    confusionMatrix = ConfusionMatrix.DeserializeConfusionMatrix(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("entities"u8))
+                {
+                    Dictionary<string, EntityEvaluationSummary> dictionary = new Dictionary<string, EntityEvaluationSummary>();
+                    foreach (var property0 in property.Value.EnumerateObject())
+                    {
+                        dictionary.Add(property0.Name, EntityEvaluationSummary.DeserializeEntityEvaluationSummary(property0.Value, options));
+                    }
+                    entities = dictionary;
+                    continue;
+                }
+                if (property.NameEquals("microF1"u8))
+                {
+                    microF1 = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("microPrecision"u8))
+                {
+                    microPrecision = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("microRecall"u8))
+                {
+                    microRecall = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroF1"u8))
+                {
+                    macroF1 = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroPrecision"u8))
+                {
+                    macroPrecision = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroRecall"u8))
+                {
+                    macroRecall = property.Value.GetSingle();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new EntitiesEvaluationSummary(
+                confusionMatrix,
+                entities,
+                microF1,
+                microPrecision,
+                microRecall,
+                macroF1,
+                macroPrecision,
+                macroRecall,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<EntitiesEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EntitiesEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(EntitiesEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        EntitiesEvaluationSummary IPersistableModel<EntitiesEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EntitiesEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeEntitiesEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(EntitiesEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<EntitiesEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static EntitiesEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeEntitiesEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EntitiesEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EntitiesEvaluationSummary.cs
new file mode 100644
index 000000000000..f52aed5626a1
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EntitiesEvaluationSummary.cs
@@ -0,0 +1,166 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the evaluation result summary for the project's entities. </summary>
+    public partial class EntitiesEvaluationSummary
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="EntitiesEvaluationSummary"/>. </summary>
+        /// <param name="confusionMatrix">
+        /// Represents the confusion matrix between two entities (the two entities can be
+        /// the same). The matrix is between the entity that was labelled and the entity
+        /// that was predicted.
+        /// </param>
+        /// <param name="entities"> Represents the entities evaluation summary. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="confusionMatrix"/> or <paramref name="entities"/> is null. </exception>
+        internal EntitiesEvaluationSummary(ConfusionMatrix confusionMatrix, IReadOnlyDictionary<string, EntityEvaluationSummary> entities, float microF1, float microPrecision, float microRecall, float macroF1, float macroPrecision, float macroRecall)
+        {
+            Argument.AssertNotNull(confusionMatrix, nameof(confusionMatrix));
+            Argument.AssertNotNull(entities, nameof(entities));
+
+            ConfusionMatrix = confusionMatrix;
+            Entities = entities;
+            MicroF1 = microF1;
+            MicroPrecision = microPrecision;
+            MicroRecall = microRecall;
+            MacroF1 = macroF1;
+            MacroPrecision = macroPrecision;
+            MacroRecall = macroRecall;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EntitiesEvaluationSummary"/>. </summary>
+        /// <param name="confusionMatrix">
+        /// Represents the confusion matrix between two entities (the two entities can be
+        /// the same). The matrix is between the entity that was labelled and the entity
+        /// that was predicted.
+        /// </param>
+        /// <param name="entities"> Represents the entities evaluation summary. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal EntitiesEvaluationSummary(ConfusionMatrix confusionMatrix, IReadOnlyDictionary<string, EntityEvaluationSummary> entities, float microF1, float microPrecision, float microRecall, float macroF1, float macroPrecision, float macroRecall, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ConfusionMatrix = confusionMatrix;
+            Entities = entities;
+            MicroF1 = microF1;
+            MicroPrecision = microPrecision;
+            MicroRecall = microRecall;
+            MacroF1 = macroF1;
+            MacroPrecision = macroPrecision;
+            MacroRecall = macroRecall;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EntitiesEvaluationSummary"/> for deserialization. </summary>
+        internal EntitiesEvaluationSummary()
+        {
+        }
+
+        /// <summary>
+        /// Represents the confusion matrix between two entities (the two entities can be
+        /// the same). The matrix is between the entity that was labelled and the entity
+        /// that was predicted.
+        /// </summary>
+        public ConfusionMatrix ConfusionMatrix { get; }
+        /// <summary> Represents the entities evaluation summary. </summary>
+        public IReadOnlyDictionary<string, EntityEvaluationSummary> Entities { get; }
+        /// <summary> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </summary>
+        public float MicroF1 { get; }
+        /// <summary>
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MicroPrecision { get; }
+        /// <summary>
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MicroRecall { get; }
+        /// <summary> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </summary>
+        public float MacroF1 { get; }
+        /// <summary>
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MacroPrecision { get; }
+        /// <summary>
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MacroRecall { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EntityEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EntityEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..97ce6c544ed3
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EntityEvaluationSummary.Serialization.cs
@@ -0,0 +1,191 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class EntityEvaluationSummary : IUtf8JsonSerializable, IJsonModel<EntityEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<EntityEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<EntityEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EntityEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EntityEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("f1"u8);
+            writer.WriteNumberValue(F1);
+            writer.WritePropertyName("precision"u8);
+            writer.WriteNumberValue(Precision);
+            writer.WritePropertyName("recall"u8);
+            writer.WriteNumberValue(Recall);
+            writer.WritePropertyName("truePositiveCount"u8);
+            writer.WriteNumberValue(TruePositiveCount);
+            writer.WritePropertyName("trueNegativeCount"u8);
+            writer.WriteNumberValue(TrueNegativeCount);
+            writer.WritePropertyName("falsePositiveCount"u8);
+            writer.WriteNumberValue(FalsePositiveCount);
+            writer.WritePropertyName("falseNegativeCount"u8);
+            writer.WriteNumberValue(FalseNegativeCount);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        EntityEvaluationSummary IJsonModel<EntityEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EntityEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EntityEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeEntityEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static EntityEvaluationSummary DeserializeEntityEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            double f1 = default;
+            double precision = default;
+            double recall = default;
+            int truePositiveCount = default;
+            int trueNegativeCount = default;
+            int falsePositiveCount = default;
+            int falseNegativeCount = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("f1"u8))
+                {
+                    f1 = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("precision"u8))
+                {
+                    precision = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("recall"u8))
+                {
+                    recall = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("truePositiveCount"u8))
+                {
+                    truePositiveCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("trueNegativeCount"u8))
+                {
+                    trueNegativeCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("falsePositiveCount"u8))
+                {
+                    falsePositiveCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("falseNegativeCount"u8))
+                {
+                    falseNegativeCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new EntityEvaluationSummary(
+                f1,
+                precision,
+                recall,
+                truePositiveCount,
+                trueNegativeCount,
+                falsePositiveCount,
+                falseNegativeCount,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<EntityEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EntityEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(EntityEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        EntityEvaluationSummary IPersistableModel<EntityEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EntityEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeEntityEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(EntityEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<EntityEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static EntityEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeEntityEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EntityEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EntityEvaluationSummary.cs
new file mode 100644
index 000000000000..fc1fe9a36fbd
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EntityEvaluationSummary.cs
@@ -0,0 +1,108 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the evaluation result for an entity. </summary>
+    public partial class EntityEvaluationSummary
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="EntityEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        internal EntityEvaluationSummary(double f1, double precision, double recall, int truePositiveCount, int trueNegativeCount, int falsePositiveCount, int falseNegativeCount)
+        {
+            F1 = f1;
+            Precision = precision;
+            Recall = recall;
+            TruePositiveCount = truePositiveCount;
+            TrueNegativeCount = trueNegativeCount;
+            FalsePositiveCount = falsePositiveCount;
+            FalseNegativeCount = falseNegativeCount;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EntityEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal EntityEvaluationSummary(double f1, double precision, double recall, int truePositiveCount, int trueNegativeCount, int falsePositiveCount, int falseNegativeCount, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            F1 = f1;
+            Precision = precision;
+            Recall = recall;
+            TruePositiveCount = truePositiveCount;
+            TrueNegativeCount = trueNegativeCount;
+            FalsePositiveCount = falsePositiveCount;
+            FalseNegativeCount = falseNegativeCount;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EntityEvaluationSummary"/> for deserialization. </summary>
+        internal EntityEvaluationSummary()
+        {
+        }
+
+        /// <summary> Represents the model precision. </summary>
+        public double F1 { get; }
+        /// <summary> Represents the model recall. </summary>
+        public double Precision { get; }
+        /// <summary> Represents the model F1 score. </summary>
+        public double Recall { get; }
+        /// <summary> Represents the count of true positive. </summary>
+        public int TruePositiveCount { get; }
+        /// <summary> Represents the count of true negative. </summary>
+        public int TrueNegativeCount { get; }
+        /// <summary> Represents the count of false positive. </summary>
+        public int FalsePositiveCount { get; }
+        /// <summary> Represents the count of false negative. </summary>
+        public int FalseNegativeCount { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ErrorCode.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ErrorCode.cs
new file mode 100644
index 000000000000..d5b1ba8b3ba4
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ErrorCode.cs
@@ -0,0 +1,99 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Human-readable error code. </summary>
+    public readonly partial struct ErrorCode : IEquatable<ErrorCode>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="ErrorCode"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public ErrorCode(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string InvalidRequestValue = "InvalidRequest";
+        private const string InvalidArgumentValue = "InvalidArgument";
+        private const string UnauthorizedValue = "Unauthorized";
+        private const string ForbiddenValue = "Forbidden";
+        private const string NotFoundValue = "NotFound";
+        private const string ProjectNotFoundValue = "ProjectNotFound";
+        private const string OperationNotFoundValue = "OperationNotFound";
+        private const string AzureCognitiveSearchNotFoundValue = "AzureCognitiveSearchNotFound";
+        private const string AzureCognitiveSearchIndexNotFoundValue = "AzureCognitiveSearchIndexNotFound";
+        private const string TooManyRequestsValue = "TooManyRequests";
+        private const string AzureCognitiveSearchThrottlingValue = "AzureCognitiveSearchThrottling";
+        private const string AzureCognitiveSearchIndexLimitReachedValue = "AzureCognitiveSearchIndexLimitReached";
+        private const string InternalServerErrorValue = "InternalServerError";
+        private const string ServiceUnavailableValue = "ServiceUnavailable";
+        private const string TimeoutValue = "Timeout";
+        private const string QuotaExceededValue = "QuotaExceeded";
+        private const string ConflictValue = "Conflict";
+        private const string WarningValue = "Warning";
+
+        /// <summary> InvalidRequest. </summary>
+        public static ErrorCode InvalidRequest { get; } = new ErrorCode(InvalidRequestValue);
+        /// <summary> InvalidArgument. </summary>
+        public static ErrorCode InvalidArgument { get; } = new ErrorCode(InvalidArgumentValue);
+        /// <summary> Unauthorized. </summary>
+        public static ErrorCode Unauthorized { get; } = new ErrorCode(UnauthorizedValue);
+        /// <summary> Forbidden. </summary>
+        public static ErrorCode Forbidden { get; } = new ErrorCode(ForbiddenValue);
+        /// <summary> NotFound. </summary>
+        public static ErrorCode NotFound { get; } = new ErrorCode(NotFoundValue);
+        /// <summary> ProjectNotFound. </summary>
+        public static ErrorCode ProjectNotFound { get; } = new ErrorCode(ProjectNotFoundValue);
+        /// <summary> OperationNotFound. </summary>
+        public static ErrorCode OperationNotFound { get; } = new ErrorCode(OperationNotFoundValue);
+        /// <summary> AzureCognitiveSearchNotFound. </summary>
+        public static ErrorCode AzureCognitiveSearchNotFound { get; } = new ErrorCode(AzureCognitiveSearchNotFoundValue);
+        /// <summary> AzureCognitiveSearchIndexNotFound. </summary>
+        public static ErrorCode AzureCognitiveSearchIndexNotFound { get; } = new ErrorCode(AzureCognitiveSearchIndexNotFoundValue);
+        /// <summary> TooManyRequests. </summary>
+        public static ErrorCode TooManyRequests { get; } = new ErrorCode(TooManyRequestsValue);
+        /// <summary> AzureCognitiveSearchThrottling. </summary>
+        public static ErrorCode AzureCognitiveSearchThrottling { get; } = new ErrorCode(AzureCognitiveSearchThrottlingValue);
+        /// <summary> AzureCognitiveSearchIndexLimitReached. </summary>
+        public static ErrorCode AzureCognitiveSearchIndexLimitReached { get; } = new ErrorCode(AzureCognitiveSearchIndexLimitReachedValue);
+        /// <summary> InternalServerError. </summary>
+        public static ErrorCode InternalServerError { get; } = new ErrorCode(InternalServerErrorValue);
+        /// <summary> ServiceUnavailable. </summary>
+        public static ErrorCode ServiceUnavailable { get; } = new ErrorCode(ServiceUnavailableValue);
+        /// <summary> Timeout. </summary>
+        public static ErrorCode Timeout { get; } = new ErrorCode(TimeoutValue);
+        /// <summary> QuotaExceeded. </summary>
+        public static ErrorCode QuotaExceeded { get; } = new ErrorCode(QuotaExceededValue);
+        /// <summary> Conflict. </summary>
+        public static ErrorCode Conflict { get; } = new ErrorCode(ConflictValue);
+        /// <summary> Warning. </summary>
+        public static ErrorCode Warning { get; } = new ErrorCode(WarningValue);
+        /// <summary> Determines if two <see cref="ErrorCode"/> values are the same. </summary>
+        public static bool operator ==(ErrorCode left, ErrorCode right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="ErrorCode"/> values are not the same. </summary>
+        public static bool operator !=(ErrorCode left, ErrorCode right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="ErrorCode"/>. </summary>
+        public static implicit operator ErrorCode(string value) => new ErrorCode(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is ErrorCode other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(ErrorCode other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationConfig.Serialization.cs
new file mode 100644
index 000000000000..4d42e7c850a6
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationConfig.Serialization.cs
@@ -0,0 +1,172 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class EvaluationConfig : IUtf8JsonSerializable, IJsonModel<EvaluationConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<EvaluationConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<EvaluationConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EvaluationConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsDefined(Kind))
+            {
+                writer.WritePropertyName("kind"u8);
+                writer.WriteStringValue(Kind.Value.ToString());
+            }
+            if (Optional.IsDefined(TrainingSplitPercentage))
+            {
+                writer.WritePropertyName("trainingSplitPercentage"u8);
+                writer.WriteNumberValue(TrainingSplitPercentage.Value);
+            }
+            if (Optional.IsDefined(TestingSplitPercentage))
+            {
+                writer.WritePropertyName("testingSplitPercentage"u8);
+                writer.WriteNumberValue(TestingSplitPercentage.Value);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        EvaluationConfig IJsonModel<EvaluationConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EvaluationConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeEvaluationConfig(document.RootElement, options);
+        }
+
+        internal static EvaluationConfig DeserializeEvaluationConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            EvaluationKind? kind = default;
+            int? trainingSplitPercentage = default;
+            int? testingSplitPercentage = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("kind"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    kind = new EvaluationKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("trainingSplitPercentage"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    trainingSplitPercentage = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("testingSplitPercentage"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    testingSplitPercentage = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new EvaluationConfig(kind, trainingSplitPercentage, testingSplitPercentage, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<EvaluationConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(EvaluationConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        EvaluationConfig IPersistableModel<EvaluationConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeEvaluationConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(EvaluationConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<EvaluationConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static EvaluationConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeEvaluationConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationConfig.cs
new file mode 100644
index 000000000000..088a8a92e6e5
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationConfig.cs
@@ -0,0 +1,91 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the options used running the evaluation. </summary>
+    public partial class EvaluationConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationConfig"/>. </summary>
+        public EvaluationConfig()
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationConfig"/>. </summary>
+        /// <param name="kind">
+        /// Represents the evaluation kind. By default, the evaluation kind is set to
+        /// percentage.
+        /// </param>
+        /// <param name="trainingSplitPercentage">
+        /// Represents the training dataset split percentage. Only needed in case the
+        /// evaluation kind is percentage.
+        /// </param>
+        /// <param name="testingSplitPercentage">
+        /// Represents the testing dataset split percentage. Only needed in case the
+        /// evaluation kind is percentage.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal EvaluationConfig(EvaluationKind? kind, int? trainingSplitPercentage, int? testingSplitPercentage, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Kind = kind;
+            TrainingSplitPercentage = trainingSplitPercentage;
+            TestingSplitPercentage = testingSplitPercentage;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary>
+        /// Represents the evaluation kind. By default, the evaluation kind is set to
+        /// percentage.
+        /// </summary>
+        public EvaluationKind? Kind { get; set; }
+        /// <summary>
+        /// Represents the training dataset split percentage. Only needed in case the
+        /// evaluation kind is percentage.
+        /// </summary>
+        public int? TrainingSplitPercentage { get; set; }
+        /// <summary>
+        /// Represents the testing dataset split percentage. Only needed in case the
+        /// evaluation kind is percentage.
+        /// </summary>
+        public int? TestingSplitPercentage { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationJobResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationJobResult.Serialization.cs
new file mode 100644
index 000000000000..348dcb3a00fd
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationJobResult.Serialization.cs
@@ -0,0 +1,159 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class EvaluationJobResult : IUtf8JsonSerializable, IJsonModel<EvaluationJobResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<EvaluationJobResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<EvaluationJobResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationJobResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EvaluationJobResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("evaluationOptions"u8);
+            writer.WriteObjectValue(EvaluationOptions, options);
+            writer.WritePropertyName("modelLabel"u8);
+            writer.WriteStringValue(ModelLabel);
+            writer.WritePropertyName("trainingConfigVersion"u8);
+            writer.WriteStringValue(TrainingConfigVersion);
+            writer.WritePropertyName("percentComplete"u8);
+            writer.WriteNumberValue(PercentComplete);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        EvaluationJobResult IJsonModel<EvaluationJobResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationJobResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EvaluationJobResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeEvaluationJobResult(document.RootElement, options);
+        }
+
+        internal static EvaluationJobResult DeserializeEvaluationJobResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            EvaluationConfig evaluationOptions = default;
+            string modelLabel = default;
+            string trainingConfigVersion = default;
+            int percentComplete = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("evaluationOptions"u8))
+                {
+                    evaluationOptions = EvaluationConfig.DeserializeEvaluationConfig(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("modelLabel"u8))
+                {
+                    modelLabel = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("trainingConfigVersion"u8))
+                {
+                    trainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("percentComplete"u8))
+                {
+                    percentComplete = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new EvaluationJobResult(evaluationOptions, modelLabel, trainingConfigVersion, percentComplete, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<EvaluationJobResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationJobResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(EvaluationJobResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        EvaluationJobResult IPersistableModel<EvaluationJobResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationJobResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeEvaluationJobResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(EvaluationJobResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<EvaluationJobResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static EvaluationJobResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeEvaluationJobResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationJobResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationJobResult.cs
new file mode 100644
index 000000000000..359ac9a80ccb
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationJobResult.cs
@@ -0,0 +1,95 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The EvaluationJobResult. </summary>
+    public partial class EvaluationJobResult
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationJobResult"/>. </summary>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="modelLabel"> Represents trained model label. </param>
+        /// <param name="trainingConfigVersion"> Represents training config version. </param>
+        /// <param name="percentComplete"> Represents progress percentage. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="evaluationOptions"/>, <paramref name="modelLabel"/> or <paramref name="trainingConfigVersion"/> is null. </exception>
+        internal EvaluationJobResult(EvaluationConfig evaluationOptions, string modelLabel, string trainingConfigVersion, int percentComplete)
+        {
+            Argument.AssertNotNull(evaluationOptions, nameof(evaluationOptions));
+            Argument.AssertNotNull(modelLabel, nameof(modelLabel));
+            Argument.AssertNotNull(trainingConfigVersion, nameof(trainingConfigVersion));
+
+            EvaluationOptions = evaluationOptions;
+            ModelLabel = modelLabel;
+            TrainingConfigVersion = trainingConfigVersion;
+            PercentComplete = percentComplete;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationJobResult"/>. </summary>
+        /// <param name="evaluationOptions"> Represents the options used running the evaluation. </param>
+        /// <param name="modelLabel"> Represents trained model label. </param>
+        /// <param name="trainingConfigVersion"> Represents training config version. </param>
+        /// <param name="percentComplete"> Represents progress percentage. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal EvaluationJobResult(EvaluationConfig evaluationOptions, string modelLabel, string trainingConfigVersion, int percentComplete, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            EvaluationOptions = evaluationOptions;
+            ModelLabel = modelLabel;
+            TrainingConfigVersion = trainingConfigVersion;
+            PercentComplete = percentComplete;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationJobResult"/> for deserialization. </summary>
+        internal EvaluationJobResult()
+        {
+        }
+
+        /// <summary> Represents the options used running the evaluation. </summary>
+        public EvaluationConfig EvaluationOptions { get; }
+        /// <summary> Represents trained model label. </summary>
+        public string ModelLabel { get; }
+        /// <summary> Represents training config version. </summary>
+        public string TrainingConfigVersion { get; }
+        /// <summary> Represents progress percentage. </summary>
+        public int PercentComplete { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationKind.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationKind.cs
new file mode 100644
index 000000000000..89e3ae237833
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationKind.cs
@@ -0,0 +1,54 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The EvaluationKind. </summary>
+    public readonly partial struct EvaluationKind : IEquatable<EvaluationKind>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationKind"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public EvaluationKind(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string PercentageValue = "percentage";
+        private const string ManualValue = "manual";
+
+        /// <summary>
+        /// Split the data into training and test sets according to user-defined
+        /// percentages.
+        /// </summary>
+        public static EvaluationKind Percentage { get; } = new EvaluationKind(PercentageValue);
+        /// <summary> Split the data according to the chosen dataset for every example in the data. </summary>
+        public static EvaluationKind Manual { get; } = new EvaluationKind(ManualValue);
+        /// <summary> Determines if two <see cref="EvaluationKind"/> values are the same. </summary>
+        public static bool operator ==(EvaluationKind left, EvaluationKind right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="EvaluationKind"/> values are not the same. </summary>
+        public static bool operator !=(EvaluationKind left, EvaluationKind right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="EvaluationKind"/>. </summary>
+        public static implicit operator EvaluationKind(string value) => new EvaluationKind(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is EvaluationKind other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(EvaluationKind other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..b182dd7e103c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationSummary.Serialization.cs
@@ -0,0 +1,158 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class EvaluationSummary : IUtf8JsonSerializable, IJsonModel<EvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<EvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<EvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("entitiesEvaluation"u8);
+            writer.WriteObjectValue(EntitiesEvaluation, options);
+            writer.WritePropertyName("intentsEvaluation"u8);
+            writer.WriteObjectValue(IntentsEvaluation, options);
+            if (Optional.IsDefined(EvaluationOptions))
+            {
+                writer.WritePropertyName("evaluationOptions"u8);
+                writer.WriteObjectValue(EvaluationOptions, options);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        EvaluationSummary IJsonModel<EvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(EvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static EvaluationSummary DeserializeEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            EntitiesEvaluationSummary entitiesEvaluation = default;
+            IntentsEvaluationSummary intentsEvaluation = default;
+            EvaluationConfig evaluationOptions = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("entitiesEvaluation"u8))
+                {
+                    entitiesEvaluation = EntitiesEvaluationSummary.DeserializeEntitiesEvaluationSummary(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("intentsEvaluation"u8))
+                {
+                    intentsEvaluation = IntentsEvaluationSummary.DeserializeIntentsEvaluationSummary(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("evaluationOptions"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    evaluationOptions = EvaluationConfig.DeserializeEvaluationConfig(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new EvaluationSummary(entitiesEvaluation, intentsEvaluation, evaluationOptions, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<EvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(EvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        EvaluationSummary IPersistableModel<EvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<EvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(EvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<EvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static EvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationSummary.cs
new file mode 100644
index 000000000000..62a9b5be8132
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/EvaluationSummary.cs
@@ -0,0 +1,86 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the evaluation result summary. </summary>
+    public partial class EvaluationSummary
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationSummary"/>. </summary>
+        /// <param name="entitiesEvaluation"> Contains the data related to entities evaluation. </param>
+        /// <param name="intentsEvaluation"> Contains the data related to intents evaluation. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="entitiesEvaluation"/> or <paramref name="intentsEvaluation"/> is null. </exception>
+        internal EvaluationSummary(EntitiesEvaluationSummary entitiesEvaluation, IntentsEvaluationSummary intentsEvaluation)
+        {
+            Argument.AssertNotNull(entitiesEvaluation, nameof(entitiesEvaluation));
+            Argument.AssertNotNull(intentsEvaluation, nameof(intentsEvaluation));
+
+            EntitiesEvaluation = entitiesEvaluation;
+            IntentsEvaluation = intentsEvaluation;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationSummary"/>. </summary>
+        /// <param name="entitiesEvaluation"> Contains the data related to entities evaluation. </param>
+        /// <param name="intentsEvaluation"> Contains the data related to intents evaluation. </param>
+        /// <param name="evaluationOptions"> The options that were used while running the evaluation. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal EvaluationSummary(EntitiesEvaluationSummary entitiesEvaluation, IntentsEvaluationSummary intentsEvaluation, EvaluationConfig evaluationOptions, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            EntitiesEvaluation = entitiesEvaluation;
+            IntentsEvaluation = intentsEvaluation;
+            EvaluationOptions = evaluationOptions;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="EvaluationSummary"/> for deserialization. </summary>
+        internal EvaluationSummary()
+        {
+        }
+
+        /// <summary> Contains the data related to entities evaluation. </summary>
+        public EntitiesEvaluationSummary EntitiesEvaluation { get; }
+        /// <summary> Contains the data related to intents evaluation. </summary>
+        public IntentsEvaluationSummary IntentsEvaluation { get; }
+        /// <summary> The options that were used while running the evaluation. </summary>
+        public EvaluationConfig EvaluationOptions { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedConversationOrchestration.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedConversationOrchestration.Serialization.cs
new file mode 100644
index 000000000000..02898e816d05
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedConversationOrchestration.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ExportedConversationOrchestration : IUtf8JsonSerializable, IJsonModel<ExportedConversationOrchestration>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedConversationOrchestration>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedConversationOrchestration>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedConversationOrchestration>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedConversationOrchestration)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectName"u8);
+            writer.WriteStringValue(ProjectName);
+            writer.WritePropertyName("deploymentName"u8);
+            writer.WriteStringValue(DeploymentName);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedConversationOrchestration IJsonModel<ExportedConversationOrchestration>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedConversationOrchestration>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedConversationOrchestration)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedConversationOrchestration(document.RootElement, options);
+        }
+
+        internal static ExportedConversationOrchestration DeserializeExportedConversationOrchestration(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string projectName = default;
+            string deploymentName = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("projectName"u8))
+                {
+                    projectName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("deploymentName"u8))
+                {
+                    deploymentName = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedConversationOrchestration(projectName, deploymentName, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedConversationOrchestration>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedConversationOrchestration>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedConversationOrchestration)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedConversationOrchestration IPersistableModel<ExportedConversationOrchestration>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedConversationOrchestration>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedConversationOrchestration(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedConversationOrchestration)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedConversationOrchestration>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedConversationOrchestration FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedConversationOrchestration(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedConversationOrchestration.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedConversationOrchestration.cs
new file mode 100644
index 000000000000..eeb906a0a7ed
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedConversationOrchestration.cs
@@ -0,0 +1,82 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Defines the orchestration details for a Conversational project target. </summary>
+    public partial class ExportedConversationOrchestration
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedConversationOrchestration"/>. </summary>
+        /// <param name="projectName"> The name of the targeted project. </param>
+        /// <param name="deploymentName"> The name of the targeted deployment. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="deploymentName"/> is null. </exception>
+        public ExportedConversationOrchestration(string projectName, string deploymentName)
+        {
+            Argument.AssertNotNull(projectName, nameof(projectName));
+            Argument.AssertNotNull(deploymentName, nameof(deploymentName));
+
+            ProjectName = projectName;
+            DeploymentName = deploymentName;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedConversationOrchestration"/>. </summary>
+        /// <param name="projectName"> The name of the targeted project. </param>
+        /// <param name="deploymentName"> The name of the targeted deployment. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedConversationOrchestration(string projectName, string deploymentName, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ProjectName = projectName;
+            DeploymentName = deploymentName;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedConversationOrchestration"/> for deserialization. </summary>
+        internal ExportedConversationOrchestration()
+        {
+        }
+
+        /// <summary> The name of the targeted project. </summary>
+        public string ProjectName { get; }
+        /// <summary> The name of the targeted deployment. </summary>
+        public string DeploymentName { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedConversationOrchestrationConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedConversationOrchestrationConfig.Serialization.cs
new file mode 100644
index 000000000000..74d80d2681b9
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedConversationOrchestrationConfig.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ExportedConversationOrchestrationConfig : IUtf8JsonSerializable, IJsonModel<ExportedConversationOrchestrationConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedConversationOrchestrationConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedConversationOrchestrationConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedConversationOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedConversationOrchestrationConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("conversationOrchestration"u8);
+            writer.WriteObjectValue(ConversationOrchestration, options);
+            writer.WritePropertyName("targetProjectKind"u8);
+            writer.WriteStringValue(TargetProjectKind.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedConversationOrchestrationConfig IJsonModel<ExportedConversationOrchestrationConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedConversationOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedConversationOrchestrationConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedConversationOrchestrationConfig(document.RootElement, options);
+        }
+
+        internal static ExportedConversationOrchestrationConfig DeserializeExportedConversationOrchestrationConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ExportedConversationOrchestration conversationOrchestration = default;
+            OrchestrationTargetProjectKind targetProjectKind = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("conversationOrchestration"u8))
+                {
+                    conversationOrchestration = ExportedConversationOrchestration.DeserializeExportedConversationOrchestration(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("targetProjectKind"u8))
+                {
+                    targetProjectKind = new OrchestrationTargetProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedConversationOrchestrationConfig(targetProjectKind, serializedAdditionalRawData, conversationOrchestration);
+        }
+
+        BinaryData IPersistableModel<ExportedConversationOrchestrationConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedConversationOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedConversationOrchestrationConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedConversationOrchestrationConfig IPersistableModel<ExportedConversationOrchestrationConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedConversationOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedConversationOrchestrationConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedConversationOrchestrationConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedConversationOrchestrationConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new ExportedConversationOrchestrationConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedConversationOrchestrationConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedConversationOrchestrationConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedConversationOrchestrationConfig.cs
new file mode 100644
index 000000000000..1cdb23dcfeb2
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedConversationOrchestrationConfig.cs
@@ -0,0 +1,44 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the orchestration options for a Conversational project target. </summary>
+    public partial class ExportedConversationOrchestrationConfig : ExportedOrchestrationConfig
+    {
+        /// <summary> Initializes a new instance of <see cref="ExportedConversationOrchestrationConfig"/>. </summary>
+        /// <param name="conversationOrchestration"> The Conversational project target details. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="conversationOrchestration"/> is null. </exception>
+        public ExportedConversationOrchestrationConfig(ExportedConversationOrchestration conversationOrchestration)
+        {
+            Argument.AssertNotNull(conversationOrchestration, nameof(conversationOrchestration));
+
+            TargetProjectKind = OrchestrationTargetProjectKind.Conversation;
+            ConversationOrchestration = conversationOrchestration;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedConversationOrchestrationConfig"/>. </summary>
+        /// <param name="targetProjectKind"></param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="conversationOrchestration"> The Conversational project target details. </param>
+        internal ExportedConversationOrchestrationConfig(OrchestrationTargetProjectKind targetProjectKind, IDictionary<string, BinaryData> serializedAdditionalRawData, ExportedConversationOrchestration conversationOrchestration) : base(targetProjectKind, serializedAdditionalRawData)
+        {
+            ConversationOrchestration = conversationOrchestration;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedConversationOrchestrationConfig"/> for deserialization. </summary>
+        internal ExportedConversationOrchestrationConfig()
+        {
+        }
+
+        /// <summary> The Conversational project target details. </summary>
+        public ExportedConversationOrchestration ConversationOrchestration { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityList.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityList.Serialization.cs
new file mode 100644
index 000000000000..41deaa1c77c1
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityList.Serialization.cs
@@ -0,0 +1,152 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ExportedEntityList : IUtf8JsonSerializable, IJsonModel<ExportedEntityList>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedEntityList>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedEntityList>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityList>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntityList)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(Sublists))
+            {
+                writer.WritePropertyName("sublists"u8);
+                writer.WriteStartArray();
+                foreach (var item in Sublists)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedEntityList IJsonModel<ExportedEntityList>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityList>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntityList)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedEntityList(document.RootElement, options);
+        }
+
+        internal static ExportedEntityList DeserializeExportedEntityList(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<ExportedEntitySublist> sublists = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("sublists"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedEntitySublist> array = new List<ExportedEntitySublist>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedEntitySublist.DeserializeExportedEntitySublist(item, options));
+                    }
+                    sublists = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedEntityList(sublists ?? new ChangeTrackingList<ExportedEntitySublist>(), serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedEntityList>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityList>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntityList)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedEntityList IPersistableModel<ExportedEntityList>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityList>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedEntityList(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntityList)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedEntityList>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedEntityList FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedEntityList(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityList.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityList.cs
new file mode 100644
index 000000000000..2ecfdc5a0911
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityList.cs
@@ -0,0 +1,66 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents a list component of an entity. </summary>
+    public partial class ExportedEntityList
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntityList"/>. </summary>
+        public ExportedEntityList()
+        {
+            Sublists = new ChangeTrackingList<ExportedEntitySublist>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntityList"/>. </summary>
+        /// <param name="sublists"> The sub-lists of the list component. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedEntityList(IList<ExportedEntitySublist> sublists, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Sublists = sublists;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> The sub-lists of the list component. </summary>
+        public IList<ExportedEntitySublist> Sublists { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityListSynonym.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityListSynonym.Serialization.cs
new file mode 100644
index 000000000000..c13e589fbca0
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityListSynonym.Serialization.cs
@@ -0,0 +1,163 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ExportedEntityListSynonym : IUtf8JsonSerializable, IJsonModel<ExportedEntityListSynonym>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedEntityListSynonym>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedEntityListSynonym>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityListSynonym>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntityListSynonym)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsDefined(Language))
+            {
+                writer.WritePropertyName("language"u8);
+                writer.WriteStringValue(Language);
+            }
+            if (Optional.IsCollectionDefined(Values))
+            {
+                writer.WritePropertyName("values"u8);
+                writer.WriteStartArray();
+                foreach (var item in Values)
+                {
+                    writer.WriteStringValue(item);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedEntityListSynonym IJsonModel<ExportedEntityListSynonym>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityListSynonym>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntityListSynonym)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedEntityListSynonym(document.RootElement, options);
+        }
+
+        internal static ExportedEntityListSynonym DeserializeExportedEntityListSynonym(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string language = default;
+            IList<string> values = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("values"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<string> array = new List<string>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(item.GetString());
+                    }
+                    values = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedEntityListSynonym(language, values ?? new ChangeTrackingList<string>(), serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedEntityListSynonym>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityListSynonym>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntityListSynonym)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedEntityListSynonym IPersistableModel<ExportedEntityListSynonym>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityListSynonym>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedEntityListSynonym(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntityListSynonym)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedEntityListSynonym>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedEntityListSynonym FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedEntityListSynonym(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityListSynonym.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityListSynonym.cs
new file mode 100644
index 000000000000..4c7670932b37
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityListSynonym.cs
@@ -0,0 +1,78 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents a list of synonyms inside a list component. </summary>
+    public partial class ExportedEntityListSynonym
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntityListSynonym"/>. </summary>
+        public ExportedEntityListSynonym()
+        {
+            Values = new ChangeTrackingList<string>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntityListSynonym"/>. </summary>
+        /// <param name="language">
+        /// Represents the language of the synonyms. This is BCP-47 representation of a
+        /// language. For example, use "en" for English, "en-gb" for English (UK), "es" for
+        /// Spanish etc.
+        /// </param>
+        /// <param name="values"> The list of synonyms. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedEntityListSynonym(string language, IList<string> values, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Language = language;
+            Values = values;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary>
+        /// Represents the language of the synonyms. This is BCP-47 representation of a
+        /// language. For example, use "en" for English, "en-gb" for English (UK), "es" for
+        /// Spanish etc.
+        /// </summary>
+        public string Language { get; set; }
+        /// <summary> The list of synonyms. </summary>
+        public IList<string> Values { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityRegex.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityRegex.Serialization.cs
new file mode 100644
index 000000000000..86f5fa2a1f99
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityRegex.Serialization.cs
@@ -0,0 +1,152 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ExportedEntityRegex : IUtf8JsonSerializable, IJsonModel<ExportedEntityRegex>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedEntityRegex>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedEntityRegex>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityRegex>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntityRegex)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(Expressions))
+            {
+                writer.WritePropertyName("expressions"u8);
+                writer.WriteStartArray();
+                foreach (var item in Expressions)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedEntityRegex IJsonModel<ExportedEntityRegex>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityRegex>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntityRegex)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedEntityRegex(document.RootElement, options);
+        }
+
+        internal static ExportedEntityRegex DeserializeExportedEntityRegex(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<ExportedEntityRegexExpression> expressions = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("expressions"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedEntityRegexExpression> array = new List<ExportedEntityRegexExpression>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedEntityRegexExpression.DeserializeExportedEntityRegexExpression(item, options));
+                    }
+                    expressions = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedEntityRegex(expressions ?? new ChangeTrackingList<ExportedEntityRegexExpression>(), serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedEntityRegex>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityRegex>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntityRegex)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedEntityRegex IPersistableModel<ExportedEntityRegex>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityRegex>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedEntityRegex(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntityRegex)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedEntityRegex>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedEntityRegex FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedEntityRegex(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityRegex.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityRegex.cs
new file mode 100644
index 000000000000..f4b892d2ef79
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityRegex.cs
@@ -0,0 +1,74 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents a regex component of an entity. </summary>
+    public partial class ExportedEntityRegex
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntityRegex"/>. </summary>
+        public ExportedEntityRegex()
+        {
+            Expressions = new ChangeTrackingList<ExportedEntityRegexExpression>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntityRegex"/>. </summary>
+        /// <param name="expressions">
+        /// The regex expressions of the regex component. These expressions follow the .NET
+        /// regex syntax. For reference, check here:
+        /// https://learn.microsoft.com/dotnet/standard/base-types/regular-expressions
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedEntityRegex(IList<ExportedEntityRegexExpression> expressions, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Expressions = expressions;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary>
+        /// The regex expressions of the regex component. These expressions follow the .NET
+        /// regex syntax. For reference, check here:
+        /// https://learn.microsoft.com/dotnet/standard/base-types/regular-expressions
+        /// </summary>
+        public IList<ExportedEntityRegexExpression> Expressions { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityRegexExpression.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityRegexExpression.Serialization.cs
new file mode 100644
index 000000000000..da0b072c2b70
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityRegexExpression.Serialization.cs
@@ -0,0 +1,160 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ExportedEntityRegexExpression : IUtf8JsonSerializable, IJsonModel<ExportedEntityRegexExpression>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedEntityRegexExpression>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedEntityRegexExpression>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityRegexExpression>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntityRegexExpression)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsDefined(RegexKey))
+            {
+                writer.WritePropertyName("regexKey"u8);
+                writer.WriteStringValue(RegexKey);
+            }
+            if (Optional.IsDefined(Language))
+            {
+                writer.WritePropertyName("language"u8);
+                writer.WriteStringValue(Language);
+            }
+            if (Optional.IsDefined(RegexPattern))
+            {
+                writer.WritePropertyName("regexPattern"u8);
+                writer.WriteStringValue(RegexPattern);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedEntityRegexExpression IJsonModel<ExportedEntityRegexExpression>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityRegexExpression>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntityRegexExpression)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedEntityRegexExpression(document.RootElement, options);
+        }
+
+        internal static ExportedEntityRegexExpression DeserializeExportedEntityRegexExpression(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string regexKey = default;
+            string language = default;
+            string regexPattern = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("regexKey"u8))
+                {
+                    regexKey = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("regexPattern"u8))
+                {
+                    regexPattern = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedEntityRegexExpression(regexKey, language, regexPattern, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedEntityRegexExpression>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityRegexExpression>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntityRegexExpression)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedEntityRegexExpression IPersistableModel<ExportedEntityRegexExpression>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntityRegexExpression>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedEntityRegexExpression(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntityRegexExpression)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedEntityRegexExpression>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedEntityRegexExpression FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedEntityRegexExpression(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityRegexExpression.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityRegexExpression.cs
new file mode 100644
index 000000000000..6c08d680d727
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntityRegexExpression.cs
@@ -0,0 +1,85 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary>
+    /// Represents a regex expression inside a regex component. This expression follows
+    /// the .NET regex syntax. For reference, check here:
+    /// https://learn.microsoft.com/dotnet/standard/base-types/regular-expressions
+    /// </summary>
+    public partial class ExportedEntityRegexExpression
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntityRegexExpression"/>. </summary>
+        public ExportedEntityRegexExpression()
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntityRegexExpression"/>. </summary>
+        /// <param name="regexKey"> The key of the regex expression. </param>
+        /// <param name="language">
+        /// Represents the language of the regex expression. This is BCP-47 representation
+        /// of a language. For example, use "en" for English, "en-gb" for English (UK),
+        /// "es" for Spanish etc.
+        /// </param>
+        /// <param name="regexPattern"> The regex pattern. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedEntityRegexExpression(string regexKey, string language, string regexPattern, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            RegexKey = regexKey;
+            Language = language;
+            RegexPattern = regexPattern;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> The key of the regex expression. </summary>
+        public string RegexKey { get; set; }
+        /// <summary>
+        /// Represents the language of the regex expression. This is BCP-47 representation
+        /// of a language. For example, use "en" for English, "en-gb" for English (UK),
+        /// "es" for Spanish etc.
+        /// </summary>
+        public string Language { get; set; }
+        /// <summary> The regex pattern. </summary>
+        public string RegexPattern { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntitySublist.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntitySublist.Serialization.cs
new file mode 100644
index 000000000000..12aa7d128245
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntitySublist.Serialization.cs
@@ -0,0 +1,163 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ExportedEntitySublist : IUtf8JsonSerializable, IJsonModel<ExportedEntitySublist>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedEntitySublist>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedEntitySublist>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntitySublist>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntitySublist)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsDefined(ListKey))
+            {
+                writer.WritePropertyName("listKey"u8);
+                writer.WriteStringValue(ListKey);
+            }
+            if (Optional.IsCollectionDefined(Synonyms))
+            {
+                writer.WritePropertyName("synonyms"u8);
+                writer.WriteStartArray();
+                foreach (var item in Synonyms)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedEntitySublist IJsonModel<ExportedEntitySublist>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntitySublist>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedEntitySublist)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedEntitySublist(document.RootElement, options);
+        }
+
+        internal static ExportedEntitySublist DeserializeExportedEntitySublist(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string listKey = default;
+            IList<ExportedEntityListSynonym> synonyms = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("listKey"u8))
+                {
+                    listKey = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("synonyms"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<ExportedEntityListSynonym> array = new List<ExportedEntityListSynonym>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(ExportedEntityListSynonym.DeserializeExportedEntityListSynonym(item, options));
+                    }
+                    synonyms = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedEntitySublist(listKey, synonyms ?? new ChangeTrackingList<ExportedEntityListSynonym>(), serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedEntitySublist>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntitySublist>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntitySublist)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedEntitySublist IPersistableModel<ExportedEntitySublist>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedEntitySublist>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedEntitySublist(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedEntitySublist)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedEntitySublist>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedEntitySublist FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedEntitySublist(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntitySublist.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntitySublist.cs
new file mode 100644
index 000000000000..7c0df772d51a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedEntitySublist.cs
@@ -0,0 +1,70 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents a sub-list inside a list component. </summary>
+    public partial class ExportedEntitySublist
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntitySublist"/>. </summary>
+        public ExportedEntitySublist()
+        {
+            Synonyms = new ChangeTrackingList<ExportedEntityListSynonym>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedEntitySublist"/>. </summary>
+        /// <param name="listKey"> The key of the sub-list. </param>
+        /// <param name="synonyms"> The phrases of that correspond to the sub-list. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedEntitySublist(string listKey, IList<ExportedEntityListSynonym> synonyms, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ListKey = listKey;
+            Synonyms = synonyms;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> The key of the sub-list. </summary>
+        public string ListKey { get; set; }
+        /// <summary> The phrases of that correspond to the sub-list. </summary>
+        public IList<ExportedEntityListSynonym> Synonyms { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedLuisOrchestration.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedLuisOrchestration.Serialization.cs
new file mode 100644
index 000000000000..9a18457bdb77
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedLuisOrchestration.Serialization.cs
@@ -0,0 +1,157 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ExportedLuisOrchestration : IUtf8JsonSerializable, IJsonModel<ExportedLuisOrchestration>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedLuisOrchestration>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedLuisOrchestration>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedLuisOrchestration>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedLuisOrchestration)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("appId"u8);
+            writer.WriteStringValue(AppId);
+            if (Optional.IsDefined(AppVersion))
+            {
+                writer.WritePropertyName("appVersion"u8);
+                writer.WriteStringValue(AppVersion);
+            }
+            if (Optional.IsDefined(SlotName))
+            {
+                writer.WritePropertyName("slotName"u8);
+                writer.WriteStringValue(SlotName);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedLuisOrchestration IJsonModel<ExportedLuisOrchestration>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedLuisOrchestration>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedLuisOrchestration)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedLuisOrchestration(document.RootElement, options);
+        }
+
+        internal static ExportedLuisOrchestration DeserializeExportedLuisOrchestration(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            Guid appId = default;
+            string appVersion = default;
+            string slotName = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("appId"u8))
+                {
+                    appId = property.Value.GetGuid();
+                    continue;
+                }
+                if (property.NameEquals("appVersion"u8))
+                {
+                    appVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("slotName"u8))
+                {
+                    slotName = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedLuisOrchestration(appId, appVersion, slotName, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedLuisOrchestration>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedLuisOrchestration>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedLuisOrchestration)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedLuisOrchestration IPersistableModel<ExportedLuisOrchestration>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedLuisOrchestration>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedLuisOrchestration(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedLuisOrchestration)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedLuisOrchestration>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedLuisOrchestration FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedLuisOrchestration(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedLuisOrchestration.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedLuisOrchestration.cs
new file mode 100644
index 000000000000..ee94b67086a2
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedLuisOrchestration.cs
@@ -0,0 +1,80 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Defines the orchestration details for a LUIS application target. </summary>
+    public partial class ExportedLuisOrchestration
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedLuisOrchestration"/>. </summary>
+        /// <param name="appId"> The LUIS application ID. </param>
+        public ExportedLuisOrchestration(Guid appId)
+        {
+            AppId = appId;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedLuisOrchestration"/>. </summary>
+        /// <param name="appId"> The LUIS application ID. </param>
+        /// <param name="appVersion"> The targeted version Id. </param>
+        /// <param name="slotName"> The targeted slot name. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedLuisOrchestration(Guid appId, string appVersion, string slotName, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            AppId = appId;
+            AppVersion = appVersion;
+            SlotName = slotName;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedLuisOrchestration"/> for deserialization. </summary>
+        internal ExportedLuisOrchestration()
+        {
+        }
+
+        /// <summary> The LUIS application ID. </summary>
+        public Guid AppId { get; }
+        /// <summary> The targeted version Id. </summary>
+        public string AppVersion { get; set; }
+        /// <summary> The targeted slot name. </summary>
+        public string SlotName { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedLuisOrchestrationConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedLuisOrchestrationConfig.Serialization.cs
new file mode 100644
index 000000000000..34e916c0582b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedLuisOrchestrationConfig.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ExportedLuisOrchestrationConfig : IUtf8JsonSerializable, IJsonModel<ExportedLuisOrchestrationConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedLuisOrchestrationConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedLuisOrchestrationConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedLuisOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedLuisOrchestrationConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("luisOrchestration"u8);
+            writer.WriteObjectValue(LuisOrchestration, options);
+            writer.WritePropertyName("targetProjectKind"u8);
+            writer.WriteStringValue(TargetProjectKind.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedLuisOrchestrationConfig IJsonModel<ExportedLuisOrchestrationConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedLuisOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedLuisOrchestrationConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedLuisOrchestrationConfig(document.RootElement, options);
+        }
+
+        internal static ExportedLuisOrchestrationConfig DeserializeExportedLuisOrchestrationConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ExportedLuisOrchestration luisOrchestration = default;
+            OrchestrationTargetProjectKind targetProjectKind = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("luisOrchestration"u8))
+                {
+                    luisOrchestration = ExportedLuisOrchestration.DeserializeExportedLuisOrchestration(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("targetProjectKind"u8))
+                {
+                    targetProjectKind = new OrchestrationTargetProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedLuisOrchestrationConfig(targetProjectKind, serializedAdditionalRawData, luisOrchestration);
+        }
+
+        BinaryData IPersistableModel<ExportedLuisOrchestrationConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedLuisOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedLuisOrchestrationConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedLuisOrchestrationConfig IPersistableModel<ExportedLuisOrchestrationConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedLuisOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedLuisOrchestrationConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedLuisOrchestrationConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedLuisOrchestrationConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new ExportedLuisOrchestrationConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedLuisOrchestrationConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedLuisOrchestrationConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedLuisOrchestrationConfig.cs
new file mode 100644
index 000000000000..c64f742075a5
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedLuisOrchestrationConfig.cs
@@ -0,0 +1,44 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the orchestration options for a LUIS application target. </summary>
+    public partial class ExportedLuisOrchestrationConfig : ExportedOrchestrationConfig
+    {
+        /// <summary> Initializes a new instance of <see cref="ExportedLuisOrchestrationConfig"/>. </summary>
+        /// <param name="luisOrchestration"> The LUIS application target details. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="luisOrchestration"/> is null. </exception>
+        public ExportedLuisOrchestrationConfig(ExportedLuisOrchestration luisOrchestration)
+        {
+            Argument.AssertNotNull(luisOrchestration, nameof(luisOrchestration));
+
+            TargetProjectKind = OrchestrationTargetProjectKind.Luis;
+            LuisOrchestration = luisOrchestration;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedLuisOrchestrationConfig"/>. </summary>
+        /// <param name="targetProjectKind"></param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="luisOrchestration"> The LUIS application target details. </param>
+        internal ExportedLuisOrchestrationConfig(OrchestrationTargetProjectKind targetProjectKind, IDictionary<string, BinaryData> serializedAdditionalRawData, ExportedLuisOrchestration luisOrchestration) : base(targetProjectKind, serializedAdditionalRawData)
+        {
+            LuisOrchestration = luisOrchestration;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedLuisOrchestrationConfig"/> for deserialization. </summary>
+        internal ExportedLuisOrchestrationConfig()
+        {
+        }
+
+        /// <summary> The LUIS application target details. </summary>
+        public ExportedLuisOrchestration LuisOrchestration { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedModelConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedModelConfig.Serialization.cs
new file mode 100644
index 000000000000..39234b5e17f0
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedModelConfig.Serialization.cs
@@ -0,0 +1,135 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ExportedModelConfig : IUtf8JsonSerializable, IJsonModel<ExportedModelConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedModelConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedModelConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedModelConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedModelConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("trainedModelLabel"u8);
+            writer.WriteStringValue(TrainedModelLabel);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedModelConfig IJsonModel<ExportedModelConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedModelConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedModelConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedModelConfig(document.RootElement, options);
+        }
+
+        internal static ExportedModelConfig DeserializeExportedModelConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string trainedModelLabel = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("trainedModelLabel"u8))
+                {
+                    trainedModelLabel = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedModelConfig(trainedModelLabel, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedModelConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedModelConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedModelConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedModelConfig IPersistableModel<ExportedModelConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedModelConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedModelConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedModelConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedModelConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedModelConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedModelConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedModelConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedModelConfig.cs
new file mode 100644
index 000000000000..331a7793feae
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedModelConfig.cs
@@ -0,0 +1,75 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the options for creating or replacing an exported model. </summary>
+    public partial class ExportedModelConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedModelConfig"/>. </summary>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="trainedModelLabel"/> is null. </exception>
+        public ExportedModelConfig(string trainedModelLabel)
+        {
+            Argument.AssertNotNull(trainedModelLabel, nameof(trainedModelLabel));
+
+            TrainedModelLabel = trainedModelLabel;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedModelConfig"/>. </summary>
+        /// <param name="trainedModelLabel"> The trained model label. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedModelConfig(string trainedModelLabel, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            TrainedModelLabel = trainedModelLabel;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedModelConfig"/> for deserialization. </summary>
+        internal ExportedModelConfig()
+        {
+        }
+
+        /// <summary> The trained model label. </summary>
+        public string TrainedModelLabel { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedOrchestrationConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedOrchestrationConfig.Serialization.cs
new file mode 100644
index 000000000000..58cd7631f678
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedOrchestrationConfig.Serialization.cs
@@ -0,0 +1,128 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    [PersistableModelProxy(typeof(UnknownExportedOrchestrationConfig))]
+    public partial class ExportedOrchestrationConfig : IUtf8JsonSerializable, IJsonModel<ExportedOrchestrationConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedOrchestrationConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedOrchestrationConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedOrchestrationConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("targetProjectKind"u8);
+            writer.WriteStringValue(TargetProjectKind.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedOrchestrationConfig IJsonModel<ExportedOrchestrationConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedOrchestrationConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedOrchestrationConfig(document.RootElement, options);
+        }
+
+        internal static ExportedOrchestrationConfig DeserializeExportedOrchestrationConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            if (element.TryGetProperty("targetProjectKind", out JsonElement discriminator))
+            {
+                switch (discriminator.GetString())
+                {
+                    case "Conversation": return ExportedConversationOrchestrationConfig.DeserializeExportedConversationOrchestrationConfig(element, options);
+                    case "Luis": return ExportedLuisOrchestrationConfig.DeserializeExportedLuisOrchestrationConfig(element, options);
+                    case "QuestionAnswering": return ExportedQuestionAnsweringOrchestrationConfig.DeserializeExportedQuestionAnsweringOrchestrationConfig(element, options);
+                }
+            }
+            return UnknownExportedOrchestrationConfig.DeserializeUnknownExportedOrchestrationConfig(element, options);
+        }
+
+        BinaryData IPersistableModel<ExportedOrchestrationConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedOrchestrationConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedOrchestrationConfig IPersistableModel<ExportedOrchestrationConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedOrchestrationConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedOrchestrationConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedOrchestrationConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedOrchestrationConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedOrchestrationConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedOrchestrationConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedOrchestrationConfig.cs
new file mode 100644
index 000000000000..94dfe9af3704
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedOrchestrationConfig.cs
@@ -0,0 +1,69 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary>
+    /// Represents the options used to define the orchestration behavior of an intent.
+    /// Please note <see cref="ExportedOrchestrationConfig"/> is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes.
+    /// The available derived classes include <see cref="ExportedConversationOrchestrationConfig"/>, <see cref="ExportedLuisOrchestrationConfig"/> and <see cref="ExportedQuestionAnsweringOrchestrationConfig"/>.
+    /// </summary>
+    public abstract partial class ExportedOrchestrationConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private protected IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedOrchestrationConfig"/>. </summary>
+        protected ExportedOrchestrationConfig()
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedOrchestrationConfig"/>. </summary>
+        /// <param name="targetProjectKind"></param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedOrchestrationConfig(OrchestrationTargetProjectKind targetProjectKind, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            TargetProjectKind = targetProjectKind;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Gets or sets the target project kind. </summary>
+        internal OrchestrationTargetProjectKind TargetProjectKind { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedPrebuiltEntity.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedPrebuiltEntity.Serialization.cs
new file mode 100644
index 000000000000..13234d652894
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedPrebuiltEntity.Serialization.cs
@@ -0,0 +1,135 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ExportedPrebuiltEntity : IUtf8JsonSerializable, IJsonModel<ExportedPrebuiltEntity>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedPrebuiltEntity>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedPrebuiltEntity>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedPrebuiltEntity>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedPrebuiltEntity)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("category"u8);
+            writer.WriteStringValue(Category);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedPrebuiltEntity IJsonModel<ExportedPrebuiltEntity>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedPrebuiltEntity>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedPrebuiltEntity)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedPrebuiltEntity(document.RootElement, options);
+        }
+
+        internal static ExportedPrebuiltEntity DeserializeExportedPrebuiltEntity(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string category = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("category"u8))
+                {
+                    category = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedPrebuiltEntity(category, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedPrebuiltEntity>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedPrebuiltEntity>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedPrebuiltEntity)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedPrebuiltEntity IPersistableModel<ExportedPrebuiltEntity>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedPrebuiltEntity>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedPrebuiltEntity(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedPrebuiltEntity)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedPrebuiltEntity>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedPrebuiltEntity FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedPrebuiltEntity(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedPrebuiltEntity.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedPrebuiltEntity.cs
new file mode 100644
index 000000000000..cefaa8b4c58f
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedPrebuiltEntity.cs
@@ -0,0 +1,75 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents an exported prebuilt entity component. </summary>
+    public partial class ExportedPrebuiltEntity
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedPrebuiltEntity"/>. </summary>
+        /// <param name="category"> The prebuilt entity category. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="category"/> is null. </exception>
+        public ExportedPrebuiltEntity(string category)
+        {
+            Argument.AssertNotNull(category, nameof(category));
+
+            Category = category;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedPrebuiltEntity"/>. </summary>
+        /// <param name="category"> The prebuilt entity category. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedPrebuiltEntity(string category, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Category = category;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedPrebuiltEntity"/> for deserialization. </summary>
+        internal ExportedPrebuiltEntity()
+        {
+        }
+
+        /// <summary> The prebuilt entity category. </summary>
+        public string Category { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedProject.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedProject.Serialization.cs
new file mode 100644
index 000000000000..7a51c2a08d61
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedProject.Serialization.cs
@@ -0,0 +1,166 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ExportedProject : IUtf8JsonSerializable, IJsonModel<ExportedProject>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedProject>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedProject>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProject>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedProject)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectFileVersion"u8);
+            writer.WriteStringValue(ProjectFileVersion);
+            writer.WritePropertyName("stringIndexType"u8);
+            writer.WriteStringValue(StringIndexType.ToString());
+            writer.WritePropertyName("metadata"u8);
+            writer.WriteObjectValue(Metadata, options);
+            if (Optional.IsDefined(Assets))
+            {
+                writer.WritePropertyName("assets"u8);
+                writer.WriteObjectValue(Assets, options);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedProject IJsonModel<ExportedProject>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProject>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedProject)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedProject(document.RootElement, options);
+        }
+
+        internal static ExportedProject DeserializeExportedProject(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string projectFileVersion = default;
+            StringIndexType stringIndexType = default;
+            CreateProjectConfig metadata = default;
+            ExportedProjectAssets assets = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("projectFileVersion"u8))
+                {
+                    projectFileVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("stringIndexType"u8))
+                {
+                    stringIndexType = new StringIndexType(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("metadata"u8))
+                {
+                    metadata = CreateProjectConfig.DeserializeCreateProjectConfig(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("assets"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    assets = ExportedProjectAssets.DeserializeExportedProjectAssets(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedProject(projectFileVersion, stringIndexType, metadata, assets, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedProject>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProject>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedProject)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedProject IPersistableModel<ExportedProject>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProject>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedProject(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedProject)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedProject>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedProject FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedProject(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedProject.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedProject.cs
new file mode 100644
index 000000000000..77b2ba0b6db1
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedProject.cs
@@ -0,0 +1,109 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents an exported project. </summary>
+    public partial class ExportedProject
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedProject"/>. </summary>
+        /// <param name="projectFileVersion"> The version of the exported file. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets.
+        /// </param>
+        /// <param name="metadata"> Represents the project metadata. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectFileVersion"/> or <paramref name="metadata"/> is null. </exception>
+        public ExportedProject(string projectFileVersion, StringIndexType stringIndexType, CreateProjectConfig metadata)
+        {
+            Argument.AssertNotNull(projectFileVersion, nameof(projectFileVersion));
+            Argument.AssertNotNull(metadata, nameof(metadata));
+
+            ProjectFileVersion = projectFileVersion;
+            StringIndexType = stringIndexType;
+            Metadata = metadata;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedProject"/>. </summary>
+        /// <param name="projectFileVersion"> The version of the exported file. </param>
+        /// <param name="stringIndexType">
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets.
+        /// </param>
+        /// <param name="metadata"> Represents the project metadata. </param>
+        /// <param name="assets">
+        /// Represents the project assets.
+        /// Please note <see cref="ExportedProjectAssets"/> is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes.
+        /// The available derived classes include <see cref="ConversationExportedProjectAssets"/> and <see cref="OrchestrationExportedProjectAssets"/>.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedProject(string projectFileVersion, StringIndexType stringIndexType, CreateProjectConfig metadata, ExportedProjectAssets assets, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ProjectFileVersion = projectFileVersion;
+            StringIndexType = stringIndexType;
+            Metadata = metadata;
+            Assets = assets;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedProject"/> for deserialization. </summary>
+        internal ExportedProject()
+        {
+        }
+
+        /// <summary> The version of the exported file. </summary>
+        public string ProjectFileVersion { get; }
+        /// <summary>
+        /// Specifies the method used to interpret string offsets. For additional
+        /// information see https://aka.ms/text-analytics-offsets.
+        /// </summary>
+        public StringIndexType StringIndexType { get; }
+        /// <summary> Represents the project metadata. </summary>
+        public CreateProjectConfig Metadata { get; }
+        /// <summary>
+        /// Represents the project assets.
+        /// Please note <see cref="ExportedProjectAssets"/> is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes.
+        /// The available derived classes include <see cref="ConversationExportedProjectAssets"/> and <see cref="OrchestrationExportedProjectAssets"/>.
+        /// </summary>
+        public ExportedProjectAssets Assets { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedProjectAssets.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedProjectAssets.Serialization.cs
new file mode 100644
index 000000000000..7e084be2b856
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedProjectAssets.Serialization.cs
@@ -0,0 +1,127 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    [PersistableModelProxy(typeof(UnknownExportedProjectAssets))]
+    public partial class ExportedProjectAssets : IUtf8JsonSerializable, IJsonModel<ExportedProjectAssets>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedProjectAssets>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedProjectAssets>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedProjectAssets)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedProjectAssets IJsonModel<ExportedProjectAssets>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedProjectAssets)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedProjectAssets(document.RootElement, options);
+        }
+
+        internal static ExportedProjectAssets DeserializeExportedProjectAssets(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            if (element.TryGetProperty("projectKind", out JsonElement discriminator))
+            {
+                switch (discriminator.GetString())
+                {
+                    case "Conversation": return ConversationExportedProjectAssets.DeserializeConversationExportedProjectAssets(element, options);
+                    case "Orchestration": return OrchestrationExportedProjectAssets.DeserializeOrchestrationExportedProjectAssets(element, options);
+                }
+            }
+            return UnknownExportedProjectAssets.DeserializeUnknownExportedProjectAssets(element, options);
+        }
+
+        BinaryData IPersistableModel<ExportedProjectAssets>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedProjectAssets)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedProjectAssets IPersistableModel<ExportedProjectAssets>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedProjectAssets(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedProjectAssets)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedProjectAssets>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedProjectAssets FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedProjectAssets(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedProjectAssets.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedProjectAssets.cs
new file mode 100644
index 000000000000..0d8ca143c5bb
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedProjectAssets.cs
@@ -0,0 +1,69 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary>
+    /// Represents the assets of an exported project.
+    /// Please note <see cref="ExportedProjectAssets"/> is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes.
+    /// The available derived classes include <see cref="ConversationExportedProjectAssets"/> and <see cref="OrchestrationExportedProjectAssets"/>.
+    /// </summary>
+    public abstract partial class ExportedProjectAssets
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private protected IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedProjectAssets"/>. </summary>
+        protected ExportedProjectAssets()
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedProjectAssets"/>. </summary>
+        /// <param name="projectKind"> The type of project containing the assets. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedProjectAssets(ProjectKind projectKind, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ProjectKind = projectKind;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> The type of project containing the assets. </summary>
+        internal ProjectKind ProjectKind { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedProjectFormat.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedProjectFormat.cs
new file mode 100644
index 000000000000..cd6e31e0dd8d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedProjectFormat.cs
@@ -0,0 +1,51 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The ExportedProjectFormat. </summary>
+    public readonly partial struct ExportedProjectFormat : IEquatable<ExportedProjectFormat>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedProjectFormat"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public ExportedProjectFormat(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string ConversationValue = "Conversation";
+        private const string LuisValue = "Luis";
+
+        /// <summary> Specifies the format for a conversational project. </summary>
+        public static ExportedProjectFormat Conversation { get; } = new ExportedProjectFormat(ConversationValue);
+        /// <summary> Specifies the format for an application that was exported from LUIS. </summary>
+        public static ExportedProjectFormat Luis { get; } = new ExportedProjectFormat(LuisValue);
+        /// <summary> Determines if two <see cref="ExportedProjectFormat"/> values are the same. </summary>
+        public static bool operator ==(ExportedProjectFormat left, ExportedProjectFormat right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="ExportedProjectFormat"/> values are not the same. </summary>
+        public static bool operator !=(ExportedProjectFormat left, ExportedProjectFormat right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="ExportedProjectFormat"/>. </summary>
+        public static implicit operator ExportedProjectFormat(string value) => new ExportedProjectFormat(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is ExportedProjectFormat other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(ExportedProjectFormat other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedQuestionAnsweringOrchestration.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedQuestionAnsweringOrchestration.Serialization.cs
new file mode 100644
index 000000000000..d79600cf0bfe
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedQuestionAnsweringOrchestration.Serialization.cs
@@ -0,0 +1,135 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ExportedQuestionAnsweringOrchestration : IUtf8JsonSerializable, IJsonModel<ExportedQuestionAnsweringOrchestration>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedQuestionAnsweringOrchestration>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedQuestionAnsweringOrchestration>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedQuestionAnsweringOrchestration>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedQuestionAnsweringOrchestration)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectName"u8);
+            writer.WriteStringValue(ProjectName);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedQuestionAnsweringOrchestration IJsonModel<ExportedQuestionAnsweringOrchestration>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedQuestionAnsweringOrchestration>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedQuestionAnsweringOrchestration)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedQuestionAnsweringOrchestration(document.RootElement, options);
+        }
+
+        internal static ExportedQuestionAnsweringOrchestration DeserializeExportedQuestionAnsweringOrchestration(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string projectName = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("projectName"u8))
+                {
+                    projectName = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedQuestionAnsweringOrchestration(projectName, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedQuestionAnsweringOrchestration>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedQuestionAnsweringOrchestration>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedQuestionAnsweringOrchestration)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedQuestionAnsweringOrchestration IPersistableModel<ExportedQuestionAnsweringOrchestration>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedQuestionAnsweringOrchestration>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedQuestionAnsweringOrchestration(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedQuestionAnsweringOrchestration)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedQuestionAnsweringOrchestration>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedQuestionAnsweringOrchestration FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedQuestionAnsweringOrchestration(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedQuestionAnsweringOrchestration.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedQuestionAnsweringOrchestration.cs
new file mode 100644
index 000000000000..2a8720526302
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedQuestionAnsweringOrchestration.cs
@@ -0,0 +1,75 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Defines the orchestration details for a Question Answering project target. </summary>
+    public partial class ExportedQuestionAnsweringOrchestration
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedQuestionAnsweringOrchestration"/>. </summary>
+        /// <param name="projectName"> The name of the target project. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> is null. </exception>
+        public ExportedQuestionAnsweringOrchestration(string projectName)
+        {
+            Argument.AssertNotNull(projectName, nameof(projectName));
+
+            ProjectName = projectName;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedQuestionAnsweringOrchestration"/>. </summary>
+        /// <param name="projectName"> The name of the target project. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedQuestionAnsweringOrchestration(string projectName, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ProjectName = projectName;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedQuestionAnsweringOrchestration"/> for deserialization. </summary>
+        internal ExportedQuestionAnsweringOrchestration()
+        {
+        }
+
+        /// <summary> The name of the target project. </summary>
+        public string ProjectName { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedQuestionAnsweringOrchestrationConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedQuestionAnsweringOrchestrationConfig.Serialization.cs
new file mode 100644
index 000000000000..88e588c09ad9
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedQuestionAnsweringOrchestrationConfig.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ExportedQuestionAnsweringOrchestrationConfig : IUtf8JsonSerializable, IJsonModel<ExportedQuestionAnsweringOrchestrationConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedQuestionAnsweringOrchestrationConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedQuestionAnsweringOrchestrationConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedQuestionAnsweringOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedQuestionAnsweringOrchestrationConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("questionAnsweringOrchestration"u8);
+            writer.WriteObjectValue(QuestionAnsweringOrchestration, options);
+            writer.WritePropertyName("targetProjectKind"u8);
+            writer.WriteStringValue(TargetProjectKind.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedQuestionAnsweringOrchestrationConfig IJsonModel<ExportedQuestionAnsweringOrchestrationConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedQuestionAnsweringOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedQuestionAnsweringOrchestrationConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedQuestionAnsweringOrchestrationConfig(document.RootElement, options);
+        }
+
+        internal static ExportedQuestionAnsweringOrchestrationConfig DeserializeExportedQuestionAnsweringOrchestrationConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ExportedQuestionAnsweringOrchestration questionAnsweringOrchestration = default;
+            OrchestrationTargetProjectKind targetProjectKind = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("questionAnsweringOrchestration"u8))
+                {
+                    questionAnsweringOrchestration = ExportedQuestionAnsweringOrchestration.DeserializeExportedQuestionAnsweringOrchestration(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("targetProjectKind"u8))
+                {
+                    targetProjectKind = new OrchestrationTargetProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedQuestionAnsweringOrchestrationConfig(targetProjectKind, serializedAdditionalRawData, questionAnsweringOrchestration);
+        }
+
+        BinaryData IPersistableModel<ExportedQuestionAnsweringOrchestrationConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedQuestionAnsweringOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedQuestionAnsweringOrchestrationConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedQuestionAnsweringOrchestrationConfig IPersistableModel<ExportedQuestionAnsweringOrchestrationConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedQuestionAnsweringOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedQuestionAnsweringOrchestrationConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedQuestionAnsweringOrchestrationConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedQuestionAnsweringOrchestrationConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new ExportedQuestionAnsweringOrchestrationConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedQuestionAnsweringOrchestrationConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedQuestionAnsweringOrchestrationConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedQuestionAnsweringOrchestrationConfig.cs
new file mode 100644
index 000000000000..eba2bbf0e1f1
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedQuestionAnsweringOrchestrationConfig.cs
@@ -0,0 +1,44 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the orchestration options for a Question Answering project target. </summary>
+    public partial class ExportedQuestionAnsweringOrchestrationConfig : ExportedOrchestrationConfig
+    {
+        /// <summary> Initializes a new instance of <see cref="ExportedQuestionAnsweringOrchestrationConfig"/>. </summary>
+        /// <param name="questionAnsweringOrchestration"> The Question Answering project details. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="questionAnsweringOrchestration"/> is null. </exception>
+        public ExportedQuestionAnsweringOrchestrationConfig(ExportedQuestionAnsweringOrchestration questionAnsweringOrchestration)
+        {
+            Argument.AssertNotNull(questionAnsweringOrchestration, nameof(questionAnsweringOrchestration));
+
+            TargetProjectKind = OrchestrationTargetProjectKind.QuestionAnswering;
+            QuestionAnsweringOrchestration = questionAnsweringOrchestration;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedQuestionAnsweringOrchestrationConfig"/>. </summary>
+        /// <param name="targetProjectKind"></param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="questionAnsweringOrchestration"> The Question Answering project details. </param>
+        internal ExportedQuestionAnsweringOrchestrationConfig(OrchestrationTargetProjectKind targetProjectKind, IDictionary<string, BinaryData> serializedAdditionalRawData, ExportedQuestionAnsweringOrchestration questionAnsweringOrchestration) : base(targetProjectKind, serializedAdditionalRawData)
+        {
+            QuestionAnsweringOrchestration = questionAnsweringOrchestration;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedQuestionAnsweringOrchestrationConfig"/> for deserialization. </summary>
+        internal ExportedQuestionAnsweringOrchestrationConfig()
+        {
+        }
+
+        /// <summary> The Question Answering project details. </summary>
+        public ExportedQuestionAnsweringOrchestration QuestionAnsweringOrchestration { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedTrainedModel.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedTrainedModel.Serialization.cs
new file mode 100644
index 000000000000..e0b6408c242c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedTrainedModel.Serialization.cs
@@ -0,0 +1,182 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ExportedTrainedModel : IUtf8JsonSerializable, IJsonModel<ExportedTrainedModel>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedTrainedModel>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedTrainedModel>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedTrainedModel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedTrainedModel)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("exportedModelName"u8);
+            writer.WriteStringValue(ExportedModelName);
+            writer.WritePropertyName("modelId"u8);
+            writer.WriteStringValue(ModelId);
+            writer.WritePropertyName("lastTrainedDateTime"u8);
+            writer.WriteStringValue(LastTrainedDateTime, "O");
+            writer.WritePropertyName("lastExportedModelDateTime"u8);
+            writer.WriteStringValue(LastExportedModelDateTime, "O");
+            writer.WritePropertyName("modelExpirationDate"u8);
+            writer.WriteStringValue(ModelExpirationDate, "D");
+            writer.WritePropertyName("modelTrainingConfigVersion"u8);
+            writer.WriteStringValue(ModelTrainingConfigVersion);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedTrainedModel IJsonModel<ExportedTrainedModel>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedTrainedModel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedTrainedModel)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedTrainedModel(document.RootElement, options);
+        }
+
+        internal static ExportedTrainedModel DeserializeExportedTrainedModel(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string exportedModelName = default;
+            string modelId = default;
+            DateTimeOffset lastTrainedDateTime = default;
+            DateTimeOffset lastExportedModelDateTime = default;
+            DateTimeOffset modelExpirationDate = default;
+            string modelTrainingConfigVersion = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("exportedModelName"u8))
+                {
+                    exportedModelName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("modelId"u8))
+                {
+                    modelId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("lastTrainedDateTime"u8))
+                {
+                    lastTrainedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastExportedModelDateTime"u8))
+                {
+                    lastExportedModelDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("modelExpirationDate"u8))
+                {
+                    modelExpirationDate = property.Value.GetDateTimeOffset("D");
+                    continue;
+                }
+                if (property.NameEquals("modelTrainingConfigVersion"u8))
+                {
+                    modelTrainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedTrainedModel(
+                exportedModelName,
+                modelId,
+                lastTrainedDateTime,
+                lastExportedModelDateTime,
+                modelExpirationDate,
+                modelTrainingConfigVersion,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedTrainedModel>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedTrainedModel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedTrainedModel)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedTrainedModel IPersistableModel<ExportedTrainedModel>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedTrainedModel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedTrainedModel(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedTrainedModel)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedTrainedModel>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedTrainedModel FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedTrainedModel(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedTrainedModel.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedTrainedModel.cs
new file mode 100644
index 000000000000..1a3a6a99c017
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedTrainedModel.cs
@@ -0,0 +1,107 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents an exported trained model. </summary>
+    public partial class ExportedTrainedModel
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedTrainedModel"/>. </summary>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastExportedModelDateTime"> The last exported date time of the model. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="exportedModelName"/>, <paramref name="modelId"/> or <paramref name="modelTrainingConfigVersion"/> is null. </exception>
+        internal ExportedTrainedModel(string exportedModelName, string modelId, DateTimeOffset lastTrainedDateTime, DateTimeOffset lastExportedModelDateTime, DateTimeOffset modelExpirationDate, string modelTrainingConfigVersion)
+        {
+            Argument.AssertNotNull(exportedModelName, nameof(exportedModelName));
+            Argument.AssertNotNull(modelId, nameof(modelId));
+            Argument.AssertNotNull(modelTrainingConfigVersion, nameof(modelTrainingConfigVersion));
+
+            ExportedModelName = exportedModelName;
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastExportedModelDateTime = lastExportedModelDateTime;
+            ModelExpirationDate = modelExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedTrainedModel"/>. </summary>
+        /// <param name="exportedModelName"> The exported model name. </param>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastExportedModelDateTime"> The last exported date time of the model. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedTrainedModel(string exportedModelName, string modelId, DateTimeOffset lastTrainedDateTime, DateTimeOffset lastExportedModelDateTime, DateTimeOffset modelExpirationDate, string modelTrainingConfigVersion, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ExportedModelName = exportedModelName;
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastExportedModelDateTime = lastExportedModelDateTime;
+            ModelExpirationDate = modelExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedTrainedModel"/> for deserialization. </summary>
+        internal ExportedTrainedModel()
+        {
+        }
+
+        /// <summary> The exported model name. </summary>
+        public string ExportedModelName { get; }
+        /// <summary> The model ID. </summary>
+        public string ModelId { get; }
+        /// <summary> The last trained date time of the model. </summary>
+        public DateTimeOffset LastTrainedDateTime { get; }
+        /// <summary> The last exported date time of the model. </summary>
+        public DateTimeOffset LastExportedModelDateTime { get; }
+        /// <summary> The model expiration date. </summary>
+        public DateTimeOffset ModelExpirationDate { get; }
+        /// <summary> The model training config version. </summary>
+        public string ModelTrainingConfigVersion { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedUtteranceEntityLabel.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedUtteranceEntityLabel.Serialization.cs
new file mode 100644
index 000000000000..9dfe8d29e76f
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedUtteranceEntityLabel.Serialization.cs
@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ExportedUtteranceEntityLabel : IUtf8JsonSerializable, IJsonModel<ExportedUtteranceEntityLabel>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedUtteranceEntityLabel>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedUtteranceEntityLabel>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedUtteranceEntityLabel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedUtteranceEntityLabel)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("category"u8);
+            writer.WriteStringValue(Category);
+            writer.WritePropertyName("offset"u8);
+            writer.WriteNumberValue(Offset);
+            writer.WritePropertyName("length"u8);
+            writer.WriteNumberValue(Length);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedUtteranceEntityLabel IJsonModel<ExportedUtteranceEntityLabel>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedUtteranceEntityLabel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedUtteranceEntityLabel)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedUtteranceEntityLabel(document.RootElement, options);
+        }
+
+        internal static ExportedUtteranceEntityLabel DeserializeExportedUtteranceEntityLabel(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string category = default;
+            int offset = default;
+            int length = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("category"u8))
+                {
+                    category = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("offset"u8))
+                {
+                    offset = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("length"u8))
+                {
+                    length = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ExportedUtteranceEntityLabel(category, offset, length, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedUtteranceEntityLabel>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedUtteranceEntityLabel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedUtteranceEntityLabel)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedUtteranceEntityLabel IPersistableModel<ExportedUtteranceEntityLabel>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedUtteranceEntityLabel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedUtteranceEntityLabel(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedUtteranceEntityLabel)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedUtteranceEntityLabel>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ExportedUtteranceEntityLabel FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeExportedUtteranceEntityLabel(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedUtteranceEntityLabel.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedUtteranceEntityLabel.cs
new file mode 100644
index 000000000000..62831ec63565
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ExportedUtteranceEntityLabel.cs
@@ -0,0 +1,87 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents an entity label for an utterance. </summary>
+    public partial class ExportedUtteranceEntityLabel
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ExportedUtteranceEntityLabel"/>. </summary>
+        /// <param name="category"> The category of the entity label. </param>
+        /// <param name="offset"> Start position for the entity text. </param>
+        /// <param name="length"> Length for the entity text. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="category"/> is null. </exception>
+        public ExportedUtteranceEntityLabel(string category, int offset, int length)
+        {
+            Argument.AssertNotNull(category, nameof(category));
+
+            Category = category;
+            Offset = offset;
+            Length = length;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedUtteranceEntityLabel"/>. </summary>
+        /// <param name="category"> The category of the entity label. </param>
+        /// <param name="offset"> Start position for the entity text. </param>
+        /// <param name="length"> Length for the entity text. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ExportedUtteranceEntityLabel(string category, int offset, int length, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Category = category;
+            Offset = offset;
+            Length = length;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ExportedUtteranceEntityLabel"/> for deserialization. </summary>
+        internal ExportedUtteranceEntityLabel()
+        {
+        }
+
+        /// <summary> The category of the entity label. </summary>
+        public string Category { get; }
+        /// <summary> Start position for the entity text. </summary>
+        public int Offset { get; }
+        /// <summary> Length for the entity text. </summary>
+        public int Length { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetAssignDeploymentResourcesStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetAssignDeploymentResourcesStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..6714fe770f9c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetAssignDeploymentResourcesStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class GetAssignDeploymentResourcesStatusResponse : IUtf8JsonSerializable, IJsonModel<GetAssignDeploymentResourcesStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetAssignDeploymentResourcesStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetAssignDeploymentResourcesStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetAssignDeploymentResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetAssignDeploymentResourcesStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetAssignDeploymentResourcesStatusResponse IJsonModel<GetAssignDeploymentResourcesStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetAssignDeploymentResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetAssignDeploymentResourcesStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetAssignDeploymentResourcesStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetAssignDeploymentResourcesStatusResponse DeserializeGetAssignDeploymentResourcesStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<AuthoringConversationsWarning> warnings = default;
+            IReadOnlyList<AuthoringConversationsError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsWarning> array = new List<AuthoringConversationsWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsWarning.DeserializeAuthoringConversationsWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsError> array = new List<AuthoringConversationsError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsError.DeserializeAuthoringConversationsError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetAssignDeploymentResourcesStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<AuthoringConversationsWarning>(),
+                errors ?? new ChangeTrackingList<AuthoringConversationsError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetAssignDeploymentResourcesStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetAssignDeploymentResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetAssignDeploymentResourcesStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetAssignDeploymentResourcesStatusResponse IPersistableModel<GetAssignDeploymentResourcesStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetAssignDeploymentResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetAssignDeploymentResourcesStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetAssignDeploymentResourcesStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetAssignDeploymentResourcesStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetAssignDeploymentResourcesStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetAssignDeploymentResourcesStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetAssignDeploymentResourcesStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetAssignDeploymentResourcesStatusResponse.cs
new file mode 100644
index 000000000000..c789019e95eb
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetAssignDeploymentResourcesStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The GetAssignDeploymentResourcesStatusResponse. </summary>
+    public partial class GetAssignDeploymentResourcesStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetAssignDeploymentResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetAssignDeploymentResourcesStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<AuthoringConversationsWarning>();
+            Errors = new ChangeTrackingList<AuthoringConversationsError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetAssignDeploymentResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetAssignDeploymentResourcesStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<AuthoringConversationsWarning> warnings, IReadOnlyList<AuthoringConversationsError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetAssignDeploymentResourcesStatusResponse"/> for deserialization. </summary>
+        internal GetAssignDeploymentResourcesStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetCopyProjectStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetCopyProjectStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..54a6802c17eb
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetCopyProjectStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class GetCopyProjectStatusResponse : IUtf8JsonSerializable, IJsonModel<GetCopyProjectStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetCopyProjectStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetCopyProjectStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetCopyProjectStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetCopyProjectStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetCopyProjectStatusResponse IJsonModel<GetCopyProjectStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetCopyProjectStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetCopyProjectStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetCopyProjectStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetCopyProjectStatusResponse DeserializeGetCopyProjectStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<AuthoringConversationsWarning> warnings = default;
+            IReadOnlyList<AuthoringConversationsError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsWarning> array = new List<AuthoringConversationsWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsWarning.DeserializeAuthoringConversationsWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsError> array = new List<AuthoringConversationsError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsError.DeserializeAuthoringConversationsError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetCopyProjectStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<AuthoringConversationsWarning>(),
+                errors ?? new ChangeTrackingList<AuthoringConversationsError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetCopyProjectStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetCopyProjectStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetCopyProjectStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetCopyProjectStatusResponse IPersistableModel<GetCopyProjectStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetCopyProjectStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetCopyProjectStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetCopyProjectStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetCopyProjectStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetCopyProjectStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetCopyProjectStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetCopyProjectStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetCopyProjectStatusResponse.cs
new file mode 100644
index 000000000000..fc4eb1c02496
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetCopyProjectStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The GetCopyProjectStatusResponse. </summary>
+    public partial class GetCopyProjectStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetCopyProjectStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetCopyProjectStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<AuthoringConversationsWarning>();
+            Errors = new ChangeTrackingList<AuthoringConversationsError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetCopyProjectStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetCopyProjectStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<AuthoringConversationsWarning> warnings, IReadOnlyList<AuthoringConversationsError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetCopyProjectStatusResponse"/> for deserialization. </summary>
+        internal GetCopyProjectStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentDeleteFromResourcesStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentDeleteFromResourcesStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..6edcf1e6a4bf
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentDeleteFromResourcesStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class GetDeploymentDeleteFromResourcesStatusResponse : IUtf8JsonSerializable, IJsonModel<GetDeploymentDeleteFromResourcesStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetDeploymentDeleteFromResourcesStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetDeploymentDeleteFromResourcesStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentDeleteFromResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetDeploymentDeleteFromResourcesStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetDeploymentDeleteFromResourcesStatusResponse IJsonModel<GetDeploymentDeleteFromResourcesStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentDeleteFromResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetDeploymentDeleteFromResourcesStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetDeploymentDeleteFromResourcesStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetDeploymentDeleteFromResourcesStatusResponse DeserializeGetDeploymentDeleteFromResourcesStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<AuthoringConversationsWarning> warnings = default;
+            IReadOnlyList<AuthoringConversationsError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsWarning> array = new List<AuthoringConversationsWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsWarning.DeserializeAuthoringConversationsWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsError> array = new List<AuthoringConversationsError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsError.DeserializeAuthoringConversationsError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetDeploymentDeleteFromResourcesStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<AuthoringConversationsWarning>(),
+                errors ?? new ChangeTrackingList<AuthoringConversationsError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetDeploymentDeleteFromResourcesStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentDeleteFromResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetDeploymentDeleteFromResourcesStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetDeploymentDeleteFromResourcesStatusResponse IPersistableModel<GetDeploymentDeleteFromResourcesStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentDeleteFromResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetDeploymentDeleteFromResourcesStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetDeploymentDeleteFromResourcesStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetDeploymentDeleteFromResourcesStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetDeploymentDeleteFromResourcesStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetDeploymentDeleteFromResourcesStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentDeleteFromResourcesStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentDeleteFromResourcesStatusResponse.cs
new file mode 100644
index 000000000000..c68e5fc2f6aa
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentDeleteFromResourcesStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The GetDeploymentDeleteFromResourcesStatusResponse. </summary>
+    public partial class GetDeploymentDeleteFromResourcesStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentDeleteFromResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetDeploymentDeleteFromResourcesStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<AuthoringConversationsWarning>();
+            Errors = new ChangeTrackingList<AuthoringConversationsError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentDeleteFromResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetDeploymentDeleteFromResourcesStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<AuthoringConversationsWarning> warnings, IReadOnlyList<AuthoringConversationsError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentDeleteFromResourcesStatusResponse"/> for deserialization. </summary>
+        internal GetDeploymentDeleteFromResourcesStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentResponse.Serialization.cs
new file mode 100644
index 000000000000..a20c4f141a37
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentResponse.Serialization.cs
@@ -0,0 +1,192 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class GetDeploymentResponse : IUtf8JsonSerializable, IJsonModel<GetDeploymentResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetDeploymentResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetDeploymentResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetDeploymentResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("modelId"u8);
+            writer.WriteStringValue(ModelId);
+            writer.WritePropertyName("lastTrainedDateTime"u8);
+            writer.WriteStringValue(LastTrainedDateTime, "O");
+            writer.WritePropertyName("lastDeployedDateTime"u8);
+            writer.WriteStringValue(LastDeployedDateTime, "O");
+            writer.WritePropertyName("deploymentExpirationDate"u8);
+            writer.WriteStringValue(DeploymentExpirationDate, "D");
+            writer.WritePropertyName("modelTrainingConfigVersion"u8);
+            writer.WriteStringValue(ModelTrainingConfigVersion);
+            writer.WritePropertyName("assignedResources"u8);
+            writer.WriteStartArray();
+            foreach (var item in AssignedResources)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetDeploymentResponse IJsonModel<GetDeploymentResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetDeploymentResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetDeploymentResponse(document.RootElement, options);
+        }
+
+        internal static GetDeploymentResponse DeserializeGetDeploymentResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string modelId = default;
+            DateTimeOffset lastTrainedDateTime = default;
+            DateTimeOffset lastDeployedDateTime = default;
+            DateTimeOffset deploymentExpirationDate = default;
+            string modelTrainingConfigVersion = default;
+            IReadOnlyList<DeploymentResource> assignedResources = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("modelId"u8))
+                {
+                    modelId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("lastTrainedDateTime"u8))
+                {
+                    lastTrainedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastDeployedDateTime"u8))
+                {
+                    lastDeployedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("deploymentExpirationDate"u8))
+                {
+                    deploymentExpirationDate = property.Value.GetDateTimeOffset("D");
+                    continue;
+                }
+                if (property.NameEquals("modelTrainingConfigVersion"u8))
+                {
+                    modelTrainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("assignedResources"u8))
+                {
+                    List<DeploymentResource> array = new List<DeploymentResource>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(DeploymentResource.DeserializeDeploymentResource(item, options));
+                    }
+                    assignedResources = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetDeploymentResponse(
+                modelId,
+                lastTrainedDateTime,
+                lastDeployedDateTime,
+                deploymentExpirationDate,
+                modelTrainingConfigVersion,
+                assignedResources,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetDeploymentResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetDeploymentResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetDeploymentResponse IPersistableModel<GetDeploymentResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetDeploymentResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetDeploymentResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetDeploymentResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetDeploymentResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetDeploymentResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentResponse.cs
new file mode 100644
index 000000000000..b77cb59cf6c8
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentResponse.cs
@@ -0,0 +1,108 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The GetDeploymentResponse. </summary>
+    public partial class GetDeploymentResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentResponse"/>. </summary>
+        /// <param name="modelId"> Represents deployment modelId. </param>
+        /// <param name="lastTrainedDateTime"> Represents deployment last trained time. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <param name="modelTrainingConfigVersion"> Represents model training config version. </param>
+        /// <param name="assignedResources"> Represents the metadata of the assigned Azure resources. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="modelId"/>, <paramref name="modelTrainingConfigVersion"/> or <paramref name="assignedResources"/> is null. </exception>
+        internal GetDeploymentResponse(string modelId, DateTimeOffset lastTrainedDateTime, DateTimeOffset lastDeployedDateTime, DateTimeOffset deploymentExpirationDate, string modelTrainingConfigVersion, IEnumerable<DeploymentResource> assignedResources)
+        {
+            Argument.AssertNotNull(modelId, nameof(modelId));
+            Argument.AssertNotNull(modelTrainingConfigVersion, nameof(modelTrainingConfigVersion));
+            Argument.AssertNotNull(assignedResources, nameof(assignedResources));
+
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastDeployedDateTime = lastDeployedDateTime;
+            DeploymentExpirationDate = deploymentExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            AssignedResources = assignedResources.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentResponse"/>. </summary>
+        /// <param name="modelId"> Represents deployment modelId. </param>
+        /// <param name="lastTrainedDateTime"> Represents deployment last trained time. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <param name="modelTrainingConfigVersion"> Represents model training config version. </param>
+        /// <param name="assignedResources"> Represents the metadata of the assigned Azure resources. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetDeploymentResponse(string modelId, DateTimeOffset lastTrainedDateTime, DateTimeOffset lastDeployedDateTime, DateTimeOffset deploymentExpirationDate, string modelTrainingConfigVersion, IReadOnlyList<DeploymentResource> assignedResources, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastDeployedDateTime = lastDeployedDateTime;
+            DeploymentExpirationDate = deploymentExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            AssignedResources = assignedResources;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentResponse"/> for deserialization. </summary>
+        internal GetDeploymentResponse()
+        {
+        }
+
+        /// <summary> Represents deployment modelId. </summary>
+        public string ModelId { get; }
+        /// <summary> Represents deployment last trained time. </summary>
+        public DateTimeOffset LastTrainedDateTime { get; }
+        /// <summary> Represents deployment last deployed time. </summary>
+        public DateTimeOffset LastDeployedDateTime { get; }
+        /// <summary> Represents deployment expiration date in the runtime. </summary>
+        public DateTimeOffset DeploymentExpirationDate { get; }
+        /// <summary> Represents model training config version. </summary>
+        public string ModelTrainingConfigVersion { get; }
+        /// <summary> Represents the metadata of the assigned Azure resources. </summary>
+        public IReadOnlyList<DeploymentResource> AssignedResources { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..01ddfa29127d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class GetDeploymentStatusResponse : IUtf8JsonSerializable, IJsonModel<GetDeploymentStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetDeploymentStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetDeploymentStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetDeploymentStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetDeploymentStatusResponse IJsonModel<GetDeploymentStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetDeploymentStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetDeploymentStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetDeploymentStatusResponse DeserializeGetDeploymentStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<AuthoringConversationsWarning> warnings = default;
+            IReadOnlyList<AuthoringConversationsError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsWarning> array = new List<AuthoringConversationsWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsWarning.DeserializeAuthoringConversationsWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsError> array = new List<AuthoringConversationsError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsError.DeserializeAuthoringConversationsError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetDeploymentStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<AuthoringConversationsWarning>(),
+                errors ?? new ChangeTrackingList<AuthoringConversationsError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetDeploymentStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetDeploymentStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetDeploymentStatusResponse IPersistableModel<GetDeploymentStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetDeploymentStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetDeploymentStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetDeploymentStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetDeploymentStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetDeploymentStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetDeploymentStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentStatusResponse.cs
new file mode 100644
index 000000000000..6a2c1b75b553
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetDeploymentStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The GetDeploymentStatusResponse. </summary>
+    public partial class GetDeploymentStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetDeploymentStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<AuthoringConversationsWarning>();
+            Errors = new ChangeTrackingList<AuthoringConversationsError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetDeploymentStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<AuthoringConversationsWarning> warnings, IReadOnlyList<AuthoringConversationsError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetDeploymentStatusResponse"/> for deserialization. </summary>
+        internal GetDeploymentStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetEvaluationStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetEvaluationStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..30ed720eacd9
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetEvaluationStatusResponse.Serialization.cs
@@ -0,0 +1,232 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class GetEvaluationStatusResponse : IUtf8JsonSerializable, IJsonModel<GetEvaluationStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetEvaluationStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetEvaluationStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetEvaluationStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetEvaluationStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            writer.WritePropertyName("result"u8);
+            writer.WriteObjectValue(Result, options);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetEvaluationStatusResponse IJsonModel<GetEvaluationStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetEvaluationStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetEvaluationStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetEvaluationStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetEvaluationStatusResponse DeserializeGetEvaluationStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<AuthoringConversationsWarning> warnings = default;
+            IReadOnlyList<AuthoringConversationsError> errors = default;
+            EvaluationJobResult result = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsWarning> array = new List<AuthoringConversationsWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsWarning.DeserializeAuthoringConversationsWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsError> array = new List<AuthoringConversationsError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsError.DeserializeAuthoringConversationsError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (property.NameEquals("result"u8))
+                {
+                    result = EvaluationJobResult.DeserializeEvaluationJobResult(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetEvaluationStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<AuthoringConversationsWarning>(),
+                errors ?? new ChangeTrackingList<AuthoringConversationsError>(),
+                result,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetEvaluationStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetEvaluationStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetEvaluationStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetEvaluationStatusResponse IPersistableModel<GetEvaluationStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetEvaluationStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetEvaluationStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetEvaluationStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetEvaluationStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetEvaluationStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetEvaluationStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetEvaluationStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetEvaluationStatusResponse.cs
new file mode 100644
index 000000000000..82fdbb80c95a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetEvaluationStatusResponse.cs
@@ -0,0 +1,107 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The GetEvaluationStatusResponse. </summary>
+    public partial class GetEvaluationStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetEvaluationStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="result"> Represents evaluation task detailed result. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="result"/> is null. </exception>
+        internal GetEvaluationStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status, EvaluationJobResult result)
+        {
+            Argument.AssertNotNull(result, nameof(result));
+
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<AuthoringConversationsWarning>();
+            Errors = new ChangeTrackingList<AuthoringConversationsError>();
+            Result = result;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetEvaluationStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="result"> Represents evaluation task detailed result. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetEvaluationStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<AuthoringConversationsWarning> warnings, IReadOnlyList<AuthoringConversationsError> errors, EvaluationJobResult result, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            Result = result;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetEvaluationStatusResponse"/> for deserialization. </summary>
+        internal GetEvaluationStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsError> Errors { get; }
+        /// <summary> Represents evaluation task detailed result. </summary>
+        public EvaluationJobResult Result { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..8d3ef2ba73b0
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportStatusResponse.Serialization.cs
@@ -0,0 +1,235 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class GetExportStatusResponse : IUtf8JsonSerializable, IJsonModel<GetExportStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetExportStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetExportStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetExportStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsDefined(ResultUrl))
+            {
+                writer.WritePropertyName("resultUrl"u8);
+                writer.WriteStringValue(ResultUrl);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetExportStatusResponse IJsonModel<GetExportStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetExportStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetExportStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetExportStatusResponse DeserializeGetExportStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<AuthoringConversationsWarning> warnings = default;
+            IReadOnlyList<AuthoringConversationsError> errors = default;
+            string resultUrl = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsWarning> array = new List<AuthoringConversationsWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsWarning.DeserializeAuthoringConversationsWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsError> array = new List<AuthoringConversationsError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsError.DeserializeAuthoringConversationsError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (property.NameEquals("resultUrl"u8))
+                {
+                    resultUrl = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetExportStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<AuthoringConversationsWarning>(),
+                errors ?? new ChangeTrackingList<AuthoringConversationsError>(),
+                resultUrl,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetExportStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetExportStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetExportStatusResponse IPersistableModel<GetExportStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetExportStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetExportStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetExportStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetExportStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetExportStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportStatusResponse.cs
new file mode 100644
index 000000000000..740e4c0a59e9
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportStatusResponse.cs
@@ -0,0 +1,102 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The GetExportStatusResponse. </summary>
+    public partial class GetExportStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetExportStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetExportStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<AuthoringConversationsWarning>();
+            Errors = new ChangeTrackingList<AuthoringConversationsError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetExportStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="resultUrl"> The URL to use in order to download the exported project. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetExportStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<AuthoringConversationsWarning> warnings, IReadOnlyList<AuthoringConversationsError> errors, string resultUrl, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            ResultUrl = resultUrl;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetExportStatusResponse"/> for deserialization. </summary>
+        internal GetExportStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsError> Errors { get; }
+        /// <summary> The URL to use in order to download the exported project. </summary>
+        public string ResultUrl { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportedModelJobStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportedModelJobStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..c0abd47ae13e
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportedModelJobStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class GetExportedModelJobStatusResponse : IUtf8JsonSerializable, IJsonModel<GetExportedModelJobStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetExportedModelJobStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetExportedModelJobStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportedModelJobStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetExportedModelJobStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetExportedModelJobStatusResponse IJsonModel<GetExportedModelJobStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportedModelJobStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetExportedModelJobStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetExportedModelJobStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetExportedModelJobStatusResponse DeserializeGetExportedModelJobStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<AuthoringConversationsWarning> warnings = default;
+            IReadOnlyList<AuthoringConversationsError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsWarning> array = new List<AuthoringConversationsWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsWarning.DeserializeAuthoringConversationsWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsError> array = new List<AuthoringConversationsError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsError.DeserializeAuthoringConversationsError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetExportedModelJobStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<AuthoringConversationsWarning>(),
+                errors ?? new ChangeTrackingList<AuthoringConversationsError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetExportedModelJobStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportedModelJobStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetExportedModelJobStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetExportedModelJobStatusResponse IPersistableModel<GetExportedModelJobStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportedModelJobStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetExportedModelJobStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetExportedModelJobStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetExportedModelJobStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetExportedModelJobStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetExportedModelJobStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportedModelJobStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportedModelJobStatusResponse.cs
new file mode 100644
index 000000000000..ba8f7b87d017
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportedModelJobStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The GetExportedModelJobStatusResponse. </summary>
+    public partial class GetExportedModelJobStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetExportedModelJobStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetExportedModelJobStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<AuthoringConversationsWarning>();
+            Errors = new ChangeTrackingList<AuthoringConversationsError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetExportedModelJobStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetExportedModelJobStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<AuthoringConversationsWarning> warnings, IReadOnlyList<AuthoringConversationsError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetExportedModelJobStatusResponse"/> for deserialization. </summary>
+        internal GetExportedModelJobStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportedModelResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportedModelResponse.Serialization.cs
new file mode 100644
index 000000000000..66e9ab2ed8a4
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportedModelResponse.Serialization.cs
@@ -0,0 +1,173 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class GetExportedModelResponse : IUtf8JsonSerializable, IJsonModel<GetExportedModelResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetExportedModelResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetExportedModelResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportedModelResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetExportedModelResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("modelId"u8);
+            writer.WriteStringValue(ModelId);
+            writer.WritePropertyName("lastTrainedDateTime"u8);
+            writer.WriteStringValue(LastTrainedDateTime, "O");
+            writer.WritePropertyName("lastExportedModelDateTime"u8);
+            writer.WriteStringValue(LastExportedModelDateTime, "O");
+            writer.WritePropertyName("modelExpirationDate"u8);
+            writer.WriteStringValue(ModelExpirationDate, "D");
+            writer.WritePropertyName("modelTrainingConfigVersion"u8);
+            writer.WriteStringValue(ModelTrainingConfigVersion);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetExportedModelResponse IJsonModel<GetExportedModelResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportedModelResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetExportedModelResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetExportedModelResponse(document.RootElement, options);
+        }
+
+        internal static GetExportedModelResponse DeserializeGetExportedModelResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string modelId = default;
+            DateTimeOffset lastTrainedDateTime = default;
+            DateTimeOffset lastExportedModelDateTime = default;
+            DateTimeOffset modelExpirationDate = default;
+            string modelTrainingConfigVersion = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("modelId"u8))
+                {
+                    modelId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("lastTrainedDateTime"u8))
+                {
+                    lastTrainedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastExportedModelDateTime"u8))
+                {
+                    lastExportedModelDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("modelExpirationDate"u8))
+                {
+                    modelExpirationDate = property.Value.GetDateTimeOffset("D");
+                    continue;
+                }
+                if (property.NameEquals("modelTrainingConfigVersion"u8))
+                {
+                    modelTrainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetExportedModelResponse(
+                modelId,
+                lastTrainedDateTime,
+                lastExportedModelDateTime,
+                modelExpirationDate,
+                modelTrainingConfigVersion,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetExportedModelResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportedModelResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetExportedModelResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetExportedModelResponse IPersistableModel<GetExportedModelResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetExportedModelResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetExportedModelResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetExportedModelResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetExportedModelResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetExportedModelResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetExportedModelResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportedModelResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportedModelResponse.cs
new file mode 100644
index 000000000000..89accfa80b56
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetExportedModelResponse.cs
@@ -0,0 +1,100 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The GetExportedModelResponse. </summary>
+    public partial class GetExportedModelResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetExportedModelResponse"/>. </summary>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastExportedModelDateTime"> The last exported date time of the model. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="modelId"/> or <paramref name="modelTrainingConfigVersion"/> is null. </exception>
+        internal GetExportedModelResponse(string modelId, DateTimeOffset lastTrainedDateTime, DateTimeOffset lastExportedModelDateTime, DateTimeOffset modelExpirationDate, string modelTrainingConfigVersion)
+        {
+            Argument.AssertNotNull(modelId, nameof(modelId));
+            Argument.AssertNotNull(modelTrainingConfigVersion, nameof(modelTrainingConfigVersion));
+
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastExportedModelDateTime = lastExportedModelDateTime;
+            ModelExpirationDate = modelExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetExportedModelResponse"/>. </summary>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastExportedModelDateTime"> The last exported date time of the model. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetExportedModelResponse(string modelId, DateTimeOffset lastTrainedDateTime, DateTimeOffset lastExportedModelDateTime, DateTimeOffset modelExpirationDate, string modelTrainingConfigVersion, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastExportedModelDateTime = lastExportedModelDateTime;
+            ModelExpirationDate = modelExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetExportedModelResponse"/> for deserialization. </summary>
+        internal GetExportedModelResponse()
+        {
+        }
+
+        /// <summary> The model ID. </summary>
+        public string ModelId { get; }
+        /// <summary> The last trained date time of the model. </summary>
+        public DateTimeOffset LastTrainedDateTime { get; }
+        /// <summary> The last exported date time of the model. </summary>
+        public DateTimeOffset LastExportedModelDateTime { get; }
+        /// <summary> The model expiration date. </summary>
+        public DateTimeOffset ModelExpirationDate { get; }
+        /// <summary> The model training config version. </summary>
+        public string ModelTrainingConfigVersion { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetImportStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetImportStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..d84362ddad1a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetImportStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class GetImportStatusResponse : IUtf8JsonSerializable, IJsonModel<GetImportStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetImportStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetImportStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetImportStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetImportStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetImportStatusResponse IJsonModel<GetImportStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetImportStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetImportStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetImportStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetImportStatusResponse DeserializeGetImportStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<AuthoringConversationsWarning> warnings = default;
+            IReadOnlyList<AuthoringConversationsError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsWarning> array = new List<AuthoringConversationsWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsWarning.DeserializeAuthoringConversationsWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsError> array = new List<AuthoringConversationsError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsError.DeserializeAuthoringConversationsError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetImportStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<AuthoringConversationsWarning>(),
+                errors ?? new ChangeTrackingList<AuthoringConversationsError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetImportStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetImportStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetImportStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetImportStatusResponse IPersistableModel<GetImportStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetImportStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetImportStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetImportStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetImportStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetImportStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetImportStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetImportStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetImportStatusResponse.cs
new file mode 100644
index 000000000000..c23f2d06665c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetImportStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The GetImportStatusResponse. </summary>
+    public partial class GetImportStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetImportStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetImportStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<AuthoringConversationsWarning>();
+            Errors = new ChangeTrackingList<AuthoringConversationsError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetImportStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetImportStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<AuthoringConversationsWarning> warnings, IReadOnlyList<AuthoringConversationsError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetImportStatusResponse"/> for deserialization. </summary>
+        internal GetImportStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetLoadSnapshotStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetLoadSnapshotStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..66dcc9227198
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetLoadSnapshotStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class GetLoadSnapshotStatusResponse : IUtf8JsonSerializable, IJsonModel<GetLoadSnapshotStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetLoadSnapshotStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetLoadSnapshotStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetLoadSnapshotStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetLoadSnapshotStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetLoadSnapshotStatusResponse IJsonModel<GetLoadSnapshotStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetLoadSnapshotStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetLoadSnapshotStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetLoadSnapshotStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetLoadSnapshotStatusResponse DeserializeGetLoadSnapshotStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<AuthoringConversationsWarning> warnings = default;
+            IReadOnlyList<AuthoringConversationsError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsWarning> array = new List<AuthoringConversationsWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsWarning.DeserializeAuthoringConversationsWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsError> array = new List<AuthoringConversationsError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsError.DeserializeAuthoringConversationsError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetLoadSnapshotStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<AuthoringConversationsWarning>(),
+                errors ?? new ChangeTrackingList<AuthoringConversationsError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetLoadSnapshotStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetLoadSnapshotStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetLoadSnapshotStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetLoadSnapshotStatusResponse IPersistableModel<GetLoadSnapshotStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetLoadSnapshotStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetLoadSnapshotStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetLoadSnapshotStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetLoadSnapshotStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetLoadSnapshotStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetLoadSnapshotStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetLoadSnapshotStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetLoadSnapshotStatusResponse.cs
new file mode 100644
index 000000000000..9906cd892d9f
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetLoadSnapshotStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The GetLoadSnapshotStatusResponse. </summary>
+    public partial class GetLoadSnapshotStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetLoadSnapshotStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetLoadSnapshotStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<AuthoringConversationsWarning>();
+            Errors = new ChangeTrackingList<AuthoringConversationsError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetLoadSnapshotStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetLoadSnapshotStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<AuthoringConversationsWarning> warnings, IReadOnlyList<AuthoringConversationsError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetLoadSnapshotStatusResponse"/> for deserialization. </summary>
+        internal GetLoadSnapshotStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetProjectDeletionStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetProjectDeletionStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..1bdc91acfb02
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetProjectDeletionStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class GetProjectDeletionStatusResponse : IUtf8JsonSerializable, IJsonModel<GetProjectDeletionStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetProjectDeletionStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetProjectDeletionStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetProjectDeletionStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetProjectDeletionStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetProjectDeletionStatusResponse IJsonModel<GetProjectDeletionStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetProjectDeletionStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetProjectDeletionStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetProjectDeletionStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetProjectDeletionStatusResponse DeserializeGetProjectDeletionStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<AuthoringConversationsWarning> warnings = default;
+            IReadOnlyList<AuthoringConversationsError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsWarning> array = new List<AuthoringConversationsWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsWarning.DeserializeAuthoringConversationsWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsError> array = new List<AuthoringConversationsError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsError.DeserializeAuthoringConversationsError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetProjectDeletionStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<AuthoringConversationsWarning>(),
+                errors ?? new ChangeTrackingList<AuthoringConversationsError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetProjectDeletionStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetProjectDeletionStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetProjectDeletionStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetProjectDeletionStatusResponse IPersistableModel<GetProjectDeletionStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetProjectDeletionStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetProjectDeletionStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetProjectDeletionStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetProjectDeletionStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetProjectDeletionStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetProjectDeletionStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetProjectDeletionStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetProjectDeletionStatusResponse.cs
new file mode 100644
index 000000000000..d5c89ffd882b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetProjectDeletionStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The GetProjectDeletionStatusResponse. </summary>
+    public partial class GetProjectDeletionStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetProjectDeletionStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetProjectDeletionStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<AuthoringConversationsWarning>();
+            Errors = new ChangeTrackingList<AuthoringConversationsError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetProjectDeletionStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetProjectDeletionStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<AuthoringConversationsWarning> warnings, IReadOnlyList<AuthoringConversationsError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetProjectDeletionStatusResponse"/> for deserialization. </summary>
+        internal GetProjectDeletionStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetSwapDeploymentsStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetSwapDeploymentsStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..1e0d231a11ba
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetSwapDeploymentsStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class GetSwapDeploymentsStatusResponse : IUtf8JsonSerializable, IJsonModel<GetSwapDeploymentsStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetSwapDeploymentsStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetSwapDeploymentsStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetSwapDeploymentsStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetSwapDeploymentsStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetSwapDeploymentsStatusResponse IJsonModel<GetSwapDeploymentsStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetSwapDeploymentsStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetSwapDeploymentsStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetSwapDeploymentsStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetSwapDeploymentsStatusResponse DeserializeGetSwapDeploymentsStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<AuthoringConversationsWarning> warnings = default;
+            IReadOnlyList<AuthoringConversationsError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsWarning> array = new List<AuthoringConversationsWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsWarning.DeserializeAuthoringConversationsWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsError> array = new List<AuthoringConversationsError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsError.DeserializeAuthoringConversationsError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetSwapDeploymentsStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<AuthoringConversationsWarning>(),
+                errors ?? new ChangeTrackingList<AuthoringConversationsError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetSwapDeploymentsStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetSwapDeploymentsStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetSwapDeploymentsStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetSwapDeploymentsStatusResponse IPersistableModel<GetSwapDeploymentsStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetSwapDeploymentsStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetSwapDeploymentsStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetSwapDeploymentsStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetSwapDeploymentsStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetSwapDeploymentsStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetSwapDeploymentsStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetSwapDeploymentsStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetSwapDeploymentsStatusResponse.cs
new file mode 100644
index 000000000000..5fefc19b85e0
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetSwapDeploymentsStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The GetSwapDeploymentsStatusResponse. </summary>
+    public partial class GetSwapDeploymentsStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetSwapDeploymentsStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetSwapDeploymentsStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<AuthoringConversationsWarning>();
+            Errors = new ChangeTrackingList<AuthoringConversationsError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetSwapDeploymentsStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetSwapDeploymentsStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<AuthoringConversationsWarning> warnings, IReadOnlyList<AuthoringConversationsError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetSwapDeploymentsStatusResponse"/> for deserialization. </summary>
+        internal GetSwapDeploymentsStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetTrainedModelResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetTrainedModelResponse.Serialization.cs
new file mode 100644
index 000000000000..55b8d9c5bf38
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetTrainedModelResponse.Serialization.cs
@@ -0,0 +1,182 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class GetTrainedModelResponse : IUtf8JsonSerializable, IJsonModel<GetTrainedModelResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetTrainedModelResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetTrainedModelResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetTrainedModelResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetTrainedModelResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("modelId"u8);
+            writer.WriteStringValue(ModelId);
+            writer.WritePropertyName("lastTrainedDateTime"u8);
+            writer.WriteStringValue(LastTrainedDateTime, "O");
+            writer.WritePropertyName("lastTrainingDurationInSeconds"u8);
+            writer.WriteNumberValue(LastTrainingDurationInSeconds);
+            writer.WritePropertyName("modelExpirationDate"u8);
+            writer.WriteStringValue(ModelExpirationDate, "D");
+            writer.WritePropertyName("modelTrainingConfigVersion"u8);
+            writer.WriteStringValue(ModelTrainingConfigVersion);
+            writer.WritePropertyName("hasSnapshot"u8);
+            writer.WriteBooleanValue(HasSnapshot);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetTrainedModelResponse IJsonModel<GetTrainedModelResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetTrainedModelResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetTrainedModelResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetTrainedModelResponse(document.RootElement, options);
+        }
+
+        internal static GetTrainedModelResponse DeserializeGetTrainedModelResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string modelId = default;
+            DateTimeOffset lastTrainedDateTime = default;
+            int lastTrainingDurationInSeconds = default;
+            DateTimeOffset modelExpirationDate = default;
+            string modelTrainingConfigVersion = default;
+            bool hasSnapshot = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("modelId"u8))
+                {
+                    modelId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("lastTrainedDateTime"u8))
+                {
+                    lastTrainedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastTrainingDurationInSeconds"u8))
+                {
+                    lastTrainingDurationInSeconds = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("modelExpirationDate"u8))
+                {
+                    modelExpirationDate = property.Value.GetDateTimeOffset("D");
+                    continue;
+                }
+                if (property.NameEquals("modelTrainingConfigVersion"u8))
+                {
+                    modelTrainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("hasSnapshot"u8))
+                {
+                    hasSnapshot = property.Value.GetBoolean();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetTrainedModelResponse(
+                modelId,
+                lastTrainedDateTime,
+                lastTrainingDurationInSeconds,
+                modelExpirationDate,
+                modelTrainingConfigVersion,
+                hasSnapshot,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetTrainedModelResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetTrainedModelResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetTrainedModelResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetTrainedModelResponse IPersistableModel<GetTrainedModelResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetTrainedModelResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetTrainedModelResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetTrainedModelResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetTrainedModelResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetTrainedModelResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetTrainedModelResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetTrainedModelResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetTrainedModelResponse.cs
new file mode 100644
index 000000000000..3d6cd006bed4
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetTrainedModelResponse.cs
@@ -0,0 +1,106 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The GetTrainedModelResponse. </summary>
+    public partial class GetTrainedModelResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetTrainedModelResponse"/>. </summary>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastTrainingDurationInSeconds"> The duration of the model's last training request in seconds. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <param name="hasSnapshot"> The flag to indicate if the trained model has a snapshot ready. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="modelId"/> or <paramref name="modelTrainingConfigVersion"/> is null. </exception>
+        internal GetTrainedModelResponse(string modelId, DateTimeOffset lastTrainedDateTime, int lastTrainingDurationInSeconds, DateTimeOffset modelExpirationDate, string modelTrainingConfigVersion, bool hasSnapshot)
+        {
+            Argument.AssertNotNull(modelId, nameof(modelId));
+            Argument.AssertNotNull(modelTrainingConfigVersion, nameof(modelTrainingConfigVersion));
+
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastTrainingDurationInSeconds = lastTrainingDurationInSeconds;
+            ModelExpirationDate = modelExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            HasSnapshot = hasSnapshot;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetTrainedModelResponse"/>. </summary>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastTrainingDurationInSeconds"> The duration of the model's last training request in seconds. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <param name="hasSnapshot"> The flag to indicate if the trained model has a snapshot ready. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetTrainedModelResponse(string modelId, DateTimeOffset lastTrainedDateTime, int lastTrainingDurationInSeconds, DateTimeOffset modelExpirationDate, string modelTrainingConfigVersion, bool hasSnapshot, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastTrainingDurationInSeconds = lastTrainingDurationInSeconds;
+            ModelExpirationDate = modelExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            HasSnapshot = hasSnapshot;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetTrainedModelResponse"/> for deserialization. </summary>
+        internal GetTrainedModelResponse()
+        {
+        }
+
+        /// <summary> The model ID. </summary>
+        public string ModelId { get; }
+        /// <summary> The last trained date time of the model. </summary>
+        public DateTimeOffset LastTrainedDateTime { get; }
+        /// <summary> The duration of the model's last training request in seconds. </summary>
+        public int LastTrainingDurationInSeconds { get; }
+        /// <summary> The model expiration date. </summary>
+        public DateTimeOffset ModelExpirationDate { get; }
+        /// <summary> The model training config version. </summary>
+        public string ModelTrainingConfigVersion { get; }
+        /// <summary> The flag to indicate if the trained model has a snapshot ready. </summary>
+        public bool HasSnapshot { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetTrainingStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetTrainingStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..05c4c0b5eedf
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetTrainingStatusResponse.Serialization.cs
@@ -0,0 +1,232 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class GetTrainingStatusResponse : IUtf8JsonSerializable, IJsonModel<GetTrainingStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetTrainingStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetTrainingStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetTrainingStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetTrainingStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            writer.WritePropertyName("result"u8);
+            writer.WriteObjectValue(Result, options);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetTrainingStatusResponse IJsonModel<GetTrainingStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetTrainingStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetTrainingStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetTrainingStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetTrainingStatusResponse DeserializeGetTrainingStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<AuthoringConversationsWarning> warnings = default;
+            IReadOnlyList<AuthoringConversationsError> errors = default;
+            TrainingJobResult result = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsWarning> array = new List<AuthoringConversationsWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsWarning.DeserializeAuthoringConversationsWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsError> array = new List<AuthoringConversationsError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsError.DeserializeAuthoringConversationsError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (property.NameEquals("result"u8))
+                {
+                    result = TrainingJobResult.DeserializeTrainingJobResult(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetTrainingStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<AuthoringConversationsWarning>(),
+                errors ?? new ChangeTrackingList<AuthoringConversationsError>(),
+                result,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetTrainingStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetTrainingStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetTrainingStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetTrainingStatusResponse IPersistableModel<GetTrainingStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetTrainingStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetTrainingStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetTrainingStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetTrainingStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetTrainingStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetTrainingStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetTrainingStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetTrainingStatusResponse.cs
new file mode 100644
index 000000000000..f078e26d35f7
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetTrainingStatusResponse.cs
@@ -0,0 +1,107 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The GetTrainingStatusResponse. </summary>
+    public partial class GetTrainingStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetTrainingStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="result"> Represents training tasks detailed result. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="result"/> is null. </exception>
+        internal GetTrainingStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status, TrainingJobResult result)
+        {
+            Argument.AssertNotNull(result, nameof(result));
+
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<AuthoringConversationsWarning>();
+            Errors = new ChangeTrackingList<AuthoringConversationsError>();
+            Result = result;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetTrainingStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="result"> Represents training tasks detailed result. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetTrainingStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<AuthoringConversationsWarning> warnings, IReadOnlyList<AuthoringConversationsError> errors, TrainingJobResult result, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            Result = result;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetTrainingStatusResponse"/> for deserialization. </summary>
+        internal GetTrainingStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsError> Errors { get; }
+        /// <summary> Represents training tasks detailed result. </summary>
+        public TrainingJobResult Result { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetUnassignDeploymentResourcesStatusResponse.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetUnassignDeploymentResourcesStatusResponse.Serialization.cs
new file mode 100644
index 000000000000..32ff3dfeafb8
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetUnassignDeploymentResourcesStatusResponse.Serialization.cs
@@ -0,0 +1,223 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class GetUnassignDeploymentResourcesStatusResponse : IUtf8JsonSerializable, IJsonModel<GetUnassignDeploymentResourcesStatusResponse>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<GetUnassignDeploymentResourcesStatusResponse>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<GetUnassignDeploymentResourcesStatusResponse>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetUnassignDeploymentResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetUnassignDeploymentResourcesStatusResponse)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        GetUnassignDeploymentResourcesStatusResponse IJsonModel<GetUnassignDeploymentResourcesStatusResponse>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetUnassignDeploymentResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(GetUnassignDeploymentResourcesStatusResponse)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeGetUnassignDeploymentResourcesStatusResponse(document.RootElement, options);
+        }
+
+        internal static GetUnassignDeploymentResourcesStatusResponse DeserializeGetUnassignDeploymentResourcesStatusResponse(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<AuthoringConversationsWarning> warnings = default;
+            IReadOnlyList<AuthoringConversationsError> errors = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsWarning> array = new List<AuthoringConversationsWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsWarning.DeserializeAuthoringConversationsWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsError> array = new List<AuthoringConversationsError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsError.DeserializeAuthoringConversationsError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new GetUnassignDeploymentResourcesStatusResponse(
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<AuthoringConversationsWarning>(),
+                errors ?? new ChangeTrackingList<AuthoringConversationsError>(),
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<GetUnassignDeploymentResourcesStatusResponse>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetUnassignDeploymentResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(GetUnassignDeploymentResourcesStatusResponse)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        GetUnassignDeploymentResourcesStatusResponse IPersistableModel<GetUnassignDeploymentResourcesStatusResponse>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<GetUnassignDeploymentResourcesStatusResponse>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeGetUnassignDeploymentResourcesStatusResponse(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(GetUnassignDeploymentResourcesStatusResponse)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<GetUnassignDeploymentResourcesStatusResponse>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static GetUnassignDeploymentResourcesStatusResponse FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeGetUnassignDeploymentResourcesStatusResponse(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetUnassignDeploymentResourcesStatusResponse.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetUnassignDeploymentResourcesStatusResponse.cs
new file mode 100644
index 000000000000..b3accaace795
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/GetUnassignDeploymentResourcesStatusResponse.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The GetUnassignDeploymentResourcesStatusResponse. </summary>
+    public partial class GetUnassignDeploymentResourcesStatusResponse
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="GetUnassignDeploymentResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        internal GetUnassignDeploymentResourcesStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<AuthoringConversationsWarning>();
+            Errors = new ChangeTrackingList<AuthoringConversationsError>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetUnassignDeploymentResourcesStatusResponse"/>. </summary>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal GetUnassignDeploymentResourcesStatusResponse(DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<AuthoringConversationsWarning> warnings, IReadOnlyList<AuthoringConversationsError> errors, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="GetUnassignDeploymentResourcesStatusResponse"/> for deserialization. </summary>
+        internal GetUnassignDeploymentResourcesStatusResponse()
+        {
+        }
+
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsError> Errors { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/InnerErrorCode.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/InnerErrorCode.cs
new file mode 100644
index 000000000000..c405e3267945
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/InnerErrorCode.cs
@@ -0,0 +1,87 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Human-readable error code. </summary>
+    public readonly partial struct InnerErrorCode : IEquatable<InnerErrorCode>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="InnerErrorCode"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public InnerErrorCode(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string InvalidRequestValue = "InvalidRequest";
+        private const string InvalidParameterValueValue = "InvalidParameterValue";
+        private const string KnowledgeBaseNotFoundValue = "KnowledgeBaseNotFound";
+        private const string AzureCognitiveSearchNotFoundValue = "AzureCognitiveSearchNotFound";
+        private const string AzureCognitiveSearchThrottlingValue = "AzureCognitiveSearchThrottling";
+        private const string ExtractionFailureValue = "ExtractionFailure";
+        private const string InvalidRequestBodyFormatValue = "InvalidRequestBodyFormat";
+        private const string EmptyRequestValue = "EmptyRequest";
+        private const string MissingInputDocumentsValue = "MissingInputDocuments";
+        private const string InvalidDocumentValue = "InvalidDocument";
+        private const string ModelVersionIncorrectValue = "ModelVersionIncorrect";
+        private const string InvalidDocumentBatchValue = "InvalidDocumentBatch";
+        private const string UnsupportedLanguageCodeValue = "UnsupportedLanguageCode";
+        private const string InvalidCountryHintValue = "InvalidCountryHint";
+
+        /// <summary> InvalidRequest. </summary>
+        public static InnerErrorCode InvalidRequest { get; } = new InnerErrorCode(InvalidRequestValue);
+        /// <summary> InvalidParameterValue. </summary>
+        public static InnerErrorCode InvalidParameterValue { get; } = new InnerErrorCode(InvalidParameterValueValue);
+        /// <summary> KnowledgeBaseNotFound. </summary>
+        public static InnerErrorCode KnowledgeBaseNotFound { get; } = new InnerErrorCode(KnowledgeBaseNotFoundValue);
+        /// <summary> AzureCognitiveSearchNotFound. </summary>
+        public static InnerErrorCode AzureCognitiveSearchNotFound { get; } = new InnerErrorCode(AzureCognitiveSearchNotFoundValue);
+        /// <summary> AzureCognitiveSearchThrottling. </summary>
+        public static InnerErrorCode AzureCognitiveSearchThrottling { get; } = new InnerErrorCode(AzureCognitiveSearchThrottlingValue);
+        /// <summary> ExtractionFailure. </summary>
+        public static InnerErrorCode ExtractionFailure { get; } = new InnerErrorCode(ExtractionFailureValue);
+        /// <summary> InvalidRequestBodyFormat. </summary>
+        public static InnerErrorCode InvalidRequestBodyFormat { get; } = new InnerErrorCode(InvalidRequestBodyFormatValue);
+        /// <summary> EmptyRequest. </summary>
+        public static InnerErrorCode EmptyRequest { get; } = new InnerErrorCode(EmptyRequestValue);
+        /// <summary> MissingInputDocuments. </summary>
+        public static InnerErrorCode MissingInputDocuments { get; } = new InnerErrorCode(MissingInputDocumentsValue);
+        /// <summary> InvalidDocument. </summary>
+        public static InnerErrorCode InvalidDocument { get; } = new InnerErrorCode(InvalidDocumentValue);
+        /// <summary> ModelVersionIncorrect. </summary>
+        public static InnerErrorCode ModelVersionIncorrect { get; } = new InnerErrorCode(ModelVersionIncorrectValue);
+        /// <summary> InvalidDocumentBatch. </summary>
+        public static InnerErrorCode InvalidDocumentBatch { get; } = new InnerErrorCode(InvalidDocumentBatchValue);
+        /// <summary> UnsupportedLanguageCode. </summary>
+        public static InnerErrorCode UnsupportedLanguageCode { get; } = new InnerErrorCode(UnsupportedLanguageCodeValue);
+        /// <summary> InvalidCountryHint. </summary>
+        public static InnerErrorCode InvalidCountryHint { get; } = new InnerErrorCode(InvalidCountryHintValue);
+        /// <summary> Determines if two <see cref="InnerErrorCode"/> values are the same. </summary>
+        public static bool operator ==(InnerErrorCode left, InnerErrorCode right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="InnerErrorCode"/> values are not the same. </summary>
+        public static bool operator !=(InnerErrorCode left, InnerErrorCode right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="InnerErrorCode"/>. </summary>
+        public static implicit operator InnerErrorCode(string value) => new InnerErrorCode(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is InnerErrorCode other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(InnerErrorCode other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/InnerErrorModel.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/InnerErrorModel.Serialization.cs
new file mode 100644
index 000000000000..9d76c9274883
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/InnerErrorModel.Serialization.cs
@@ -0,0 +1,201 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class InnerErrorModel : IUtf8JsonSerializable, IJsonModel<InnerErrorModel>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<InnerErrorModel>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<InnerErrorModel>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<InnerErrorModel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(InnerErrorModel)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("code"u8);
+            writer.WriteStringValue(Code.ToString());
+            writer.WritePropertyName("message"u8);
+            writer.WriteStringValue(Message);
+            if (Optional.IsCollectionDefined(Details))
+            {
+                writer.WritePropertyName("details"u8);
+                writer.WriteStartObject();
+                foreach (var item in Details)
+                {
+                    writer.WritePropertyName(item.Key);
+                    writer.WriteStringValue(item.Value);
+                }
+                writer.WriteEndObject();
+            }
+            if (Optional.IsDefined(Target))
+            {
+                writer.WritePropertyName("target"u8);
+                writer.WriteStringValue(Target);
+            }
+            if (Optional.IsDefined(Innererror))
+            {
+                writer.WritePropertyName("innererror"u8);
+                writer.WriteObjectValue(Innererror, options);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        InnerErrorModel IJsonModel<InnerErrorModel>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<InnerErrorModel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(InnerErrorModel)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeInnerErrorModel(document.RootElement, options);
+        }
+
+        internal static InnerErrorModel DeserializeInnerErrorModel(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            InnerErrorCode code = default;
+            string message = default;
+            IReadOnlyDictionary<string, string> details = default;
+            string target = default;
+            InnerErrorModel innererror = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("code"u8))
+                {
+                    code = new InnerErrorCode(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("message"u8))
+                {
+                    message = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("details"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    Dictionary<string, string> dictionary = new Dictionary<string, string>();
+                    foreach (var property0 in property.Value.EnumerateObject())
+                    {
+                        dictionary.Add(property0.Name, property0.Value.GetString());
+                    }
+                    details = dictionary;
+                    continue;
+                }
+                if (property.NameEquals("target"u8))
+                {
+                    target = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("innererror"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    innererror = DeserializeInnerErrorModel(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new InnerErrorModel(
+                code,
+                message,
+                details ?? new ChangeTrackingDictionary<string, string>(),
+                target,
+                innererror,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<InnerErrorModel>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<InnerErrorModel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(InnerErrorModel)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        InnerErrorModel IPersistableModel<InnerErrorModel>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<InnerErrorModel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeInnerErrorModel(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(InnerErrorModel)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<InnerErrorModel>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static InnerErrorModel FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeInnerErrorModel(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/InnerErrorModel.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/InnerErrorModel.cs
new file mode 100644
index 000000000000..e9c46e07cc27
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/InnerErrorModel.cs
@@ -0,0 +1,104 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary>
+    /// An object containing more specific information about the error. As per
+    /// Microsoft One API guidelines -
+    /// https://github.com/Microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses.
+    /// </summary>
+    public partial class InnerErrorModel
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="InnerErrorModel"/>. </summary>
+        /// <param name="code"> One of a server-defined set of error codes. </param>
+        /// <param name="message"> Error message. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="message"/> is null. </exception>
+        internal InnerErrorModel(InnerErrorCode code, string message)
+        {
+            Argument.AssertNotNull(message, nameof(message));
+
+            Code = code;
+            Message = message;
+            Details = new ChangeTrackingDictionary<string, string>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="InnerErrorModel"/>. </summary>
+        /// <param name="code"> One of a server-defined set of error codes. </param>
+        /// <param name="message"> Error message. </param>
+        /// <param name="details"> Error details. </param>
+        /// <param name="target"> Error target. </param>
+        /// <param name="innererror">
+        /// An object containing more specific information than the current object about
+        /// the error.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal InnerErrorModel(InnerErrorCode code, string message, IReadOnlyDictionary<string, string> details, string target, InnerErrorModel innererror, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Code = code;
+            Message = message;
+            Details = details;
+            Target = target;
+            Innererror = innererror;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="InnerErrorModel"/> for deserialization. </summary>
+        internal InnerErrorModel()
+        {
+        }
+
+        /// <summary> One of a server-defined set of error codes. </summary>
+        public InnerErrorCode Code { get; }
+        /// <summary> Error message. </summary>
+        public string Message { get; }
+        /// <summary> Error details. </summary>
+        public IReadOnlyDictionary<string, string> Details { get; }
+        /// <summary> Error target. </summary>
+        public string Target { get; }
+        /// <summary>
+        /// An object containing more specific information than the current object about
+        /// the error.
+        /// </summary>
+        public InnerErrorModel Innererror { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/IntentEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/IntentEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..e9b908297946
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/IntentEvaluationSummary.Serialization.cs
@@ -0,0 +1,191 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class IntentEvaluationSummary : IUtf8JsonSerializable, IJsonModel<IntentEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<IntentEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<IntentEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<IntentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(IntentEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("f1"u8);
+            writer.WriteNumberValue(F1);
+            writer.WritePropertyName("precision"u8);
+            writer.WriteNumberValue(Precision);
+            writer.WritePropertyName("recall"u8);
+            writer.WriteNumberValue(Recall);
+            writer.WritePropertyName("truePositiveCount"u8);
+            writer.WriteNumberValue(TruePositiveCount);
+            writer.WritePropertyName("trueNegativeCount"u8);
+            writer.WriteNumberValue(TrueNegativeCount);
+            writer.WritePropertyName("falsePositiveCount"u8);
+            writer.WriteNumberValue(FalsePositiveCount);
+            writer.WritePropertyName("falseNegativeCount"u8);
+            writer.WriteNumberValue(FalseNegativeCount);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        IntentEvaluationSummary IJsonModel<IntentEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<IntentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(IntentEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeIntentEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static IntentEvaluationSummary DeserializeIntentEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            double f1 = default;
+            double precision = default;
+            double recall = default;
+            int truePositiveCount = default;
+            int trueNegativeCount = default;
+            int falsePositiveCount = default;
+            int falseNegativeCount = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("f1"u8))
+                {
+                    f1 = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("precision"u8))
+                {
+                    precision = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("recall"u8))
+                {
+                    recall = property.Value.GetDouble();
+                    continue;
+                }
+                if (property.NameEquals("truePositiveCount"u8))
+                {
+                    truePositiveCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("trueNegativeCount"u8))
+                {
+                    trueNegativeCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("falsePositiveCount"u8))
+                {
+                    falsePositiveCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("falseNegativeCount"u8))
+                {
+                    falseNegativeCount = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new IntentEvaluationSummary(
+                f1,
+                precision,
+                recall,
+                truePositiveCount,
+                trueNegativeCount,
+                falsePositiveCount,
+                falseNegativeCount,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<IntentEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<IntentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(IntentEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        IntentEvaluationSummary IPersistableModel<IntentEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<IntentEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeIntentEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(IntentEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<IntentEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static IntentEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeIntentEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/IntentEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/IntentEvaluationSummary.cs
new file mode 100644
index 000000000000..7ac271f33676
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/IntentEvaluationSummary.cs
@@ -0,0 +1,108 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The evaluation summary for an intent. </summary>
+    public partial class IntentEvaluationSummary
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="IntentEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        internal IntentEvaluationSummary(double f1, double precision, double recall, int truePositiveCount, int trueNegativeCount, int falsePositiveCount, int falseNegativeCount)
+        {
+            F1 = f1;
+            Precision = precision;
+            Recall = recall;
+            TruePositiveCount = truePositiveCount;
+            TrueNegativeCount = trueNegativeCount;
+            FalsePositiveCount = falsePositiveCount;
+            FalseNegativeCount = falseNegativeCount;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="IntentEvaluationSummary"/>. </summary>
+        /// <param name="f1"> Represents the model precision. </param>
+        /// <param name="precision"> Represents the model recall. </param>
+        /// <param name="recall"> Represents the model F1 score. </param>
+        /// <param name="truePositiveCount"> Represents the count of true positive. </param>
+        /// <param name="trueNegativeCount"> Represents the count of true negative. </param>
+        /// <param name="falsePositiveCount"> Represents the count of false positive. </param>
+        /// <param name="falseNegativeCount"> Represents the count of false negative. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal IntentEvaluationSummary(double f1, double precision, double recall, int truePositiveCount, int trueNegativeCount, int falsePositiveCount, int falseNegativeCount, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            F1 = f1;
+            Precision = precision;
+            Recall = recall;
+            TruePositiveCount = truePositiveCount;
+            TrueNegativeCount = trueNegativeCount;
+            FalsePositiveCount = falsePositiveCount;
+            FalseNegativeCount = falseNegativeCount;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="IntentEvaluationSummary"/> for deserialization. </summary>
+        internal IntentEvaluationSummary()
+        {
+        }
+
+        /// <summary> Represents the model precision. </summary>
+        public double F1 { get; }
+        /// <summary> Represents the model recall. </summary>
+        public double Precision { get; }
+        /// <summary> Represents the model F1 score. </summary>
+        public double Recall { get; }
+        /// <summary> Represents the count of true positive. </summary>
+        public int TruePositiveCount { get; }
+        /// <summary> Represents the count of true negative. </summary>
+        public int TrueNegativeCount { get; }
+        /// <summary> Represents the count of false positive. </summary>
+        public int FalsePositiveCount { get; }
+        /// <summary> Represents the count of false negative. </summary>
+        public int FalseNegativeCount { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/IntentsEvaluationSummary.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/IntentsEvaluationSummary.Serialization.cs
new file mode 100644
index 000000000000..0b5173c34559
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/IntentsEvaluationSummary.Serialization.cs
@@ -0,0 +1,211 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class IntentsEvaluationSummary : IUtf8JsonSerializable, IJsonModel<IntentsEvaluationSummary>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<IntentsEvaluationSummary>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<IntentsEvaluationSummary>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<IntentsEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(IntentsEvaluationSummary)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("confusionMatrix"u8);
+            writer.WriteObjectValue(ConfusionMatrix, options);
+            writer.WritePropertyName("intents"u8);
+            writer.WriteStartObject();
+            foreach (var item in Intents)
+            {
+                writer.WritePropertyName(item.Key);
+                writer.WriteObjectValue(item.Value, options);
+            }
+            writer.WriteEndObject();
+            writer.WritePropertyName("microF1"u8);
+            writer.WriteNumberValue(MicroF1);
+            writer.WritePropertyName("microPrecision"u8);
+            writer.WriteNumberValue(MicroPrecision);
+            writer.WritePropertyName("microRecall"u8);
+            writer.WriteNumberValue(MicroRecall);
+            writer.WritePropertyName("macroF1"u8);
+            writer.WriteNumberValue(MacroF1);
+            writer.WritePropertyName("macroPrecision"u8);
+            writer.WriteNumberValue(MacroPrecision);
+            writer.WritePropertyName("macroRecall"u8);
+            writer.WriteNumberValue(MacroRecall);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        IntentsEvaluationSummary IJsonModel<IntentsEvaluationSummary>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<IntentsEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(IntentsEvaluationSummary)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeIntentsEvaluationSummary(document.RootElement, options);
+        }
+
+        internal static IntentsEvaluationSummary DeserializeIntentsEvaluationSummary(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ConfusionMatrix confusionMatrix = default;
+            IReadOnlyDictionary<string, IntentEvaluationSummary> intents = default;
+            float microF1 = default;
+            float microPrecision = default;
+            float microRecall = default;
+            float macroF1 = default;
+            float macroPrecision = default;
+            float macroRecall = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("confusionMatrix"u8))
+                {
+                    confusionMatrix = ConfusionMatrix.DeserializeConfusionMatrix(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("intents"u8))
+                {
+                    Dictionary<string, IntentEvaluationSummary> dictionary = new Dictionary<string, IntentEvaluationSummary>();
+                    foreach (var property0 in property.Value.EnumerateObject())
+                    {
+                        dictionary.Add(property0.Name, IntentEvaluationSummary.DeserializeIntentEvaluationSummary(property0.Value, options));
+                    }
+                    intents = dictionary;
+                    continue;
+                }
+                if (property.NameEquals("microF1"u8))
+                {
+                    microF1 = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("microPrecision"u8))
+                {
+                    microPrecision = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("microRecall"u8))
+                {
+                    microRecall = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroF1"u8))
+                {
+                    macroF1 = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroPrecision"u8))
+                {
+                    macroPrecision = property.Value.GetSingle();
+                    continue;
+                }
+                if (property.NameEquals("macroRecall"u8))
+                {
+                    macroRecall = property.Value.GetSingle();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new IntentsEvaluationSummary(
+                confusionMatrix,
+                intents,
+                microF1,
+                microPrecision,
+                microRecall,
+                macroF1,
+                macroPrecision,
+                macroRecall,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<IntentsEvaluationSummary>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<IntentsEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(IntentsEvaluationSummary)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        IntentsEvaluationSummary IPersistableModel<IntentsEvaluationSummary>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<IntentsEvaluationSummary>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeIntentsEvaluationSummary(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(IntentsEvaluationSummary)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<IntentsEvaluationSummary>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static IntentsEvaluationSummary FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeIntentsEvaluationSummary(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/IntentsEvaluationSummary.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/IntentsEvaluationSummary.cs
new file mode 100644
index 000000000000..8d4b962e5b10
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/IntentsEvaluationSummary.cs
@@ -0,0 +1,166 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the evaluation summary for the project's intents. </summary>
+    public partial class IntentsEvaluationSummary
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="IntentsEvaluationSummary"/>. </summary>
+        /// <param name="confusionMatrix">
+        /// Represents the confusion matrix between two intents (the two intents can be the
+        /// same). The matrix is between the intent that was labelled and the intent that
+        /// was predicted.
+        /// </param>
+        /// <param name="intents"> Represents the intents evaluation summary. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="confusionMatrix"/> or <paramref name="intents"/> is null. </exception>
+        internal IntentsEvaluationSummary(ConfusionMatrix confusionMatrix, IReadOnlyDictionary<string, IntentEvaluationSummary> intents, float microF1, float microPrecision, float microRecall, float macroF1, float macroPrecision, float macroRecall)
+        {
+            Argument.AssertNotNull(confusionMatrix, nameof(confusionMatrix));
+            Argument.AssertNotNull(intents, nameof(intents));
+
+            ConfusionMatrix = confusionMatrix;
+            Intents = intents;
+            MicroF1 = microF1;
+            MicroPrecision = microPrecision;
+            MicroRecall = microRecall;
+            MacroF1 = macroF1;
+            MacroPrecision = macroPrecision;
+            MacroRecall = macroRecall;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="IntentsEvaluationSummary"/>. </summary>
+        /// <param name="confusionMatrix">
+        /// Represents the confusion matrix between two intents (the two intents can be the
+        /// same). The matrix is between the intent that was labelled and the intent that
+        /// was predicted.
+        /// </param>
+        /// <param name="intents"> Represents the intents evaluation summary. </param>
+        /// <param name="microF1"> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="microPrecision">
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="microRecall">
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroF1"> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </param>
+        /// <param name="macroPrecision">
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="macroRecall">
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal IntentsEvaluationSummary(ConfusionMatrix confusionMatrix, IReadOnlyDictionary<string, IntentEvaluationSummary> intents, float microF1, float microPrecision, float microRecall, float macroF1, float macroPrecision, float macroRecall, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ConfusionMatrix = confusionMatrix;
+            Intents = intents;
+            MicroF1 = microF1;
+            MicroPrecision = microPrecision;
+            MicroRecall = microRecall;
+            MacroF1 = macroF1;
+            MacroPrecision = macroPrecision;
+            MacroRecall = macroRecall;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="IntentsEvaluationSummary"/> for deserialization. </summary>
+        internal IntentsEvaluationSummary()
+        {
+        }
+
+        /// <summary>
+        /// Represents the confusion matrix between two intents (the two intents can be the
+        /// same). The matrix is between the intent that was labelled and the intent that
+        /// was predicted.
+        /// </summary>
+        public ConfusionMatrix ConfusionMatrix { get; }
+        /// <summary> Represents the intents evaluation summary. </summary>
+        public IReadOnlyDictionary<string, IntentEvaluationSummary> Intents { get; }
+        /// <summary> Represents the micro F1. Expected value is a float between 0 and 1 inclusive. </summary>
+        public float MicroF1 { get; }
+        /// <summary>
+        /// Represents the micro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MicroPrecision { get; }
+        /// <summary>
+        /// Represents the micro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MicroRecall { get; }
+        /// <summary> Represents the macro F1. Expected value is a float between 0 and 1 inclusive. </summary>
+        public float MacroF1 { get; }
+        /// <summary>
+        /// Represents the macro precision. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MacroPrecision { get; }
+        /// <summary>
+        /// Represents the macro recall. Expected value is a float between 0 and 1
+        /// inclusive.
+        /// </summary>
+        public float MacroRecall { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/JobStatus.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/JobStatus.cs
new file mode 100644
index 000000000000..096009cf3e3b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/JobStatus.cs
@@ -0,0 +1,66 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The JobStatus. </summary>
+    public readonly partial struct JobStatus : IEquatable<JobStatus>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="JobStatus"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public JobStatus(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string NotStartedValue = "notStarted";
+        private const string RunningValue = "running";
+        private const string SucceededValue = "succeeded";
+        private const string FailedValue = "failed";
+        private const string CancelledValue = "cancelled";
+        private const string CancellingValue = "cancelling";
+        private const string PartiallyCompletedValue = "partiallyCompleted";
+
+        /// <summary> notStarted. </summary>
+        public static JobStatus NotStarted { get; } = new JobStatus(NotStartedValue);
+        /// <summary> running. </summary>
+        public static JobStatus Running { get; } = new JobStatus(RunningValue);
+        /// <summary> succeeded. </summary>
+        public static JobStatus Succeeded { get; } = new JobStatus(SucceededValue);
+        /// <summary> failed. </summary>
+        public static JobStatus Failed { get; } = new JobStatus(FailedValue);
+        /// <summary> cancelled. </summary>
+        public static JobStatus Cancelled { get; } = new JobStatus(CancelledValue);
+        /// <summary> cancelling. </summary>
+        public static JobStatus Cancelling { get; } = new JobStatus(CancellingValue);
+        /// <summary> partiallyCompleted. </summary>
+        public static JobStatus PartiallyCompleted { get; } = new JobStatus(PartiallyCompletedValue);
+        /// <summary> Determines if two <see cref="JobStatus"/> values are the same. </summary>
+        public static bool operator ==(JobStatus left, JobStatus right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="JobStatus"/> values are not the same. </summary>
+        public static bool operator !=(JobStatus left, JobStatus right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="JobStatus"/>. </summary>
+        public static implicit operator JobStatus(string value) => new JobStatus(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is JobStatus other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(JobStatus other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedIntent.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedIntent.Serialization.cs
new file mode 100644
index 000000000000..5d9838a20609
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedIntent.Serialization.cs
@@ -0,0 +1,150 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class OrchestrationExportedIntent : IUtf8JsonSerializable, IJsonModel<OrchestrationExportedIntent>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<OrchestrationExportedIntent>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<OrchestrationExportedIntent>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<OrchestrationExportedIntent>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(OrchestrationExportedIntent)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsDefined(Orchestration))
+            {
+                writer.WritePropertyName("orchestration"u8);
+                writer.WriteObjectValue(Orchestration, options);
+            }
+            writer.WritePropertyName("category"u8);
+            writer.WriteStringValue(Category);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        OrchestrationExportedIntent IJsonModel<OrchestrationExportedIntent>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<OrchestrationExportedIntent>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(OrchestrationExportedIntent)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeOrchestrationExportedIntent(document.RootElement, options);
+        }
+
+        internal static OrchestrationExportedIntent DeserializeOrchestrationExportedIntent(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ExportedOrchestrationConfig orchestration = default;
+            string category = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("orchestration"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    orchestration = ExportedOrchestrationConfig.DeserializeExportedOrchestrationConfig(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("category"u8))
+                {
+                    category = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new OrchestrationExportedIntent(orchestration, category, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<OrchestrationExportedIntent>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<OrchestrationExportedIntent>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(OrchestrationExportedIntent)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        OrchestrationExportedIntent IPersistableModel<OrchestrationExportedIntent>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<OrchestrationExportedIntent>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeOrchestrationExportedIntent(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(OrchestrationExportedIntent)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<OrchestrationExportedIntent>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static OrchestrationExportedIntent FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeOrchestrationExportedIntent(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedIntent.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedIntent.cs
new file mode 100644
index 000000000000..e9cf580ed4c8
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedIntent.cs
@@ -0,0 +1,87 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents an exported intent for an orchestration project. </summary>
+    public partial class OrchestrationExportedIntent
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="OrchestrationExportedIntent"/>. </summary>
+        /// <param name="category"> The intent category. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="category"/> is null. </exception>
+        public OrchestrationExportedIntent(string category)
+        {
+            Argument.AssertNotNull(category, nameof(category));
+
+            Category = category;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="OrchestrationExportedIntent"/>. </summary>
+        /// <param name="orchestration">
+        /// Specifies the behavior of this intent in the orchestration flow.
+        /// Please note <see cref="ExportedOrchestrationConfig"/> is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes.
+        /// The available derived classes include <see cref="ExportedConversationOrchestrationConfig"/>, <see cref="ExportedLuisOrchestrationConfig"/> and <see cref="ExportedQuestionAnsweringOrchestrationConfig"/>.
+        /// </param>
+        /// <param name="category"> The intent category. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal OrchestrationExportedIntent(ExportedOrchestrationConfig orchestration, string category, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Orchestration = orchestration;
+            Category = category;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="OrchestrationExportedIntent"/> for deserialization. </summary>
+        internal OrchestrationExportedIntent()
+        {
+        }
+
+        /// <summary>
+        /// Specifies the behavior of this intent in the orchestration flow.
+        /// Please note <see cref="ExportedOrchestrationConfig"/> is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes.
+        /// The available derived classes include <see cref="ExportedConversationOrchestrationConfig"/>, <see cref="ExportedLuisOrchestrationConfig"/> and <see cref="ExportedQuestionAnsweringOrchestrationConfig"/>.
+        /// </summary>
+        public ExportedOrchestrationConfig Orchestration { get; set; }
+        /// <summary> The intent category. </summary>
+        public string Category { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedProjectAssets.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedProjectAssets.Serialization.cs
new file mode 100644
index 000000000000..43eab3457779
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedProjectAssets.Serialization.cs
@@ -0,0 +1,185 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class OrchestrationExportedProjectAssets : IUtf8JsonSerializable, IJsonModel<OrchestrationExportedProjectAssets>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<OrchestrationExportedProjectAssets>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<OrchestrationExportedProjectAssets>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<OrchestrationExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(OrchestrationExportedProjectAssets)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            if (Optional.IsCollectionDefined(Intents))
+            {
+                writer.WritePropertyName("intents"u8);
+                writer.WriteStartArray();
+                foreach (var item in Intents)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Utterances))
+            {
+                writer.WritePropertyName("utterances"u8);
+                writer.WriteStartArray();
+                foreach (var item in Utterances)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        OrchestrationExportedProjectAssets IJsonModel<OrchestrationExportedProjectAssets>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<OrchestrationExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(OrchestrationExportedProjectAssets)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeOrchestrationExportedProjectAssets(document.RootElement, options);
+        }
+
+        internal static OrchestrationExportedProjectAssets DeserializeOrchestrationExportedProjectAssets(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<OrchestrationExportedIntent> intents = default;
+            IList<OrchestrationExportedUtterance> utterances = default;
+            ProjectKind projectKind = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("intents"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<OrchestrationExportedIntent> array = new List<OrchestrationExportedIntent>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(OrchestrationExportedIntent.DeserializeOrchestrationExportedIntent(item, options));
+                    }
+                    intents = array;
+                    continue;
+                }
+                if (property.NameEquals("utterances"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<OrchestrationExportedUtterance> array = new List<OrchestrationExportedUtterance>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(OrchestrationExportedUtterance.DeserializeOrchestrationExportedUtterance(item, options));
+                    }
+                    utterances = array;
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new OrchestrationExportedProjectAssets(projectKind, serializedAdditionalRawData, intents ?? new ChangeTrackingList<OrchestrationExportedIntent>(), utterances ?? new ChangeTrackingList<OrchestrationExportedUtterance>());
+        }
+
+        BinaryData IPersistableModel<OrchestrationExportedProjectAssets>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<OrchestrationExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(OrchestrationExportedProjectAssets)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        OrchestrationExportedProjectAssets IPersistableModel<OrchestrationExportedProjectAssets>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<OrchestrationExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeOrchestrationExportedProjectAssets(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(OrchestrationExportedProjectAssets)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<OrchestrationExportedProjectAssets>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new OrchestrationExportedProjectAssets FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeOrchestrationExportedProjectAssets(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedProjectAssets.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedProjectAssets.cs
new file mode 100644
index 000000000000..53b42f5b2feb
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedProjectAssets.cs
@@ -0,0 +1,40 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the assets of an orchestration project. </summary>
+    public partial class OrchestrationExportedProjectAssets : ExportedProjectAssets
+    {
+        /// <summary> Initializes a new instance of <see cref="OrchestrationExportedProjectAssets"/>. </summary>
+        public OrchestrationExportedProjectAssets()
+        {
+            ProjectKind = ProjectKind.Orchestration;
+            Intents = new ChangeTrackingList<OrchestrationExportedIntent>();
+            Utterances = new ChangeTrackingList<OrchestrationExportedUtterance>();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="OrchestrationExportedProjectAssets"/>. </summary>
+        /// <param name="projectKind"> The type of project containing the assets. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        /// <param name="intents"> Represents the intents of the project. </param>
+        /// <param name="utterances"> Represents the utterances of the project. </param>
+        internal OrchestrationExportedProjectAssets(ProjectKind projectKind, IDictionary<string, BinaryData> serializedAdditionalRawData, IList<OrchestrationExportedIntent> intents, IList<OrchestrationExportedUtterance> utterances) : base(projectKind, serializedAdditionalRawData)
+        {
+            Intents = intents;
+            Utterances = utterances;
+        }
+
+        /// <summary> Represents the intents of the project. </summary>
+        public IList<OrchestrationExportedIntent> Intents { get; }
+        /// <summary> Represents the utterances of the project. </summary>
+        public IList<OrchestrationExportedUtterance> Utterances { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedUtterance.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedUtterance.Serialization.cs
new file mode 100644
index 000000000000..02deab6612b7
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedUtterance.Serialization.cs
@@ -0,0 +1,165 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class OrchestrationExportedUtterance : IUtf8JsonSerializable, IJsonModel<OrchestrationExportedUtterance>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<OrchestrationExportedUtterance>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<OrchestrationExportedUtterance>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<OrchestrationExportedUtterance>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(OrchestrationExportedUtterance)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("text"u8);
+            writer.WriteStringValue(Text);
+            if (Optional.IsDefined(Language))
+            {
+                writer.WritePropertyName("language"u8);
+                writer.WriteStringValue(Language);
+            }
+            writer.WritePropertyName("intent"u8);
+            writer.WriteStringValue(Intent);
+            if (Optional.IsDefined(Dataset))
+            {
+                writer.WritePropertyName("dataset"u8);
+                writer.WriteStringValue(Dataset);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        OrchestrationExportedUtterance IJsonModel<OrchestrationExportedUtterance>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<OrchestrationExportedUtterance>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(OrchestrationExportedUtterance)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeOrchestrationExportedUtterance(document.RootElement, options);
+        }
+
+        internal static OrchestrationExportedUtterance DeserializeOrchestrationExportedUtterance(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string text = default;
+            string language = default;
+            string intent = default;
+            string dataset = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("text"u8))
+                {
+                    text = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("intent"u8))
+                {
+                    intent = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("dataset"u8))
+                {
+                    dataset = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new OrchestrationExportedUtterance(text, language, intent, dataset, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<OrchestrationExportedUtterance>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<OrchestrationExportedUtterance>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(OrchestrationExportedUtterance)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        OrchestrationExportedUtterance IPersistableModel<OrchestrationExportedUtterance>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<OrchestrationExportedUtterance>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeOrchestrationExportedUtterance(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(OrchestrationExportedUtterance)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<OrchestrationExportedUtterance>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static OrchestrationExportedUtterance FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeOrchestrationExportedUtterance(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedUtterance.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedUtterance.cs
new file mode 100644
index 000000000000..01dd41f2d60d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationExportedUtterance.cs
@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents an utterance of an orchestration project. </summary>
+    public partial class OrchestrationExportedUtterance
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="OrchestrationExportedUtterance"/>. </summary>
+        /// <param name="text"> The utterance text. </param>
+        /// <param name="intent"> The intent of the utterance. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="text"/> or <paramref name="intent"/> is null. </exception>
+        public OrchestrationExportedUtterance(string text, string intent)
+        {
+            Argument.AssertNotNull(text, nameof(text));
+            Argument.AssertNotNull(intent, nameof(intent));
+
+            Text = text;
+            Intent = intent;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="OrchestrationExportedUtterance"/>. </summary>
+        /// <param name="text"> The utterance text. </param>
+        /// <param name="language">
+        /// Represents the utterance's language. This is BCP-47 representation of a
+        /// language. For example, use "en" for English, "en-gb" for English (UK), "es" for
+        /// Spanish etc.
+        /// </param>
+        /// <param name="intent"> The intent of the utterance. </param>
+        /// <param name="dataset"> The dataset for this utterance. Allowed values are 'Train' and 'Test'. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal OrchestrationExportedUtterance(string text, string language, string intent, string dataset, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Text = text;
+            Language = language;
+            Intent = intent;
+            Dataset = dataset;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="OrchestrationExportedUtterance"/> for deserialization. </summary>
+        internal OrchestrationExportedUtterance()
+        {
+        }
+
+        /// <summary> The utterance text. </summary>
+        public string Text { get; }
+        /// <summary>
+        /// Represents the utterance's language. This is BCP-47 representation of a
+        /// language. For example, use "en" for English, "en-gb" for English (UK), "es" for
+        /// Spanish etc.
+        /// </summary>
+        public string Language { get; set; }
+        /// <summary> The intent of the utterance. </summary>
+        public string Intent { get; }
+        /// <summary> The dataset for this utterance. Allowed values are 'Train' and 'Test'. </summary>
+        public string Dataset { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationTargetProjectKind.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationTargetProjectKind.cs
new file mode 100644
index 000000000000..84fb7033cab6
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/OrchestrationTargetProjectKind.cs
@@ -0,0 +1,54 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The OrchestrationTargetProjectKind. </summary>
+    internal readonly partial struct OrchestrationTargetProjectKind : IEquatable<OrchestrationTargetProjectKind>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="OrchestrationTargetProjectKind"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public OrchestrationTargetProjectKind(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string LuisValue = "Luis";
+        private const string ConversationValue = "Conversation";
+        private const string QuestionAnsweringValue = "QuestionAnswering";
+
+        /// <summary> Luis. </summary>
+        public static OrchestrationTargetProjectKind Luis { get; } = new OrchestrationTargetProjectKind(LuisValue);
+        /// <summary> Conversation. </summary>
+        public static OrchestrationTargetProjectKind Conversation { get; } = new OrchestrationTargetProjectKind(ConversationValue);
+        /// <summary> QuestionAnswering. </summary>
+        public static OrchestrationTargetProjectKind QuestionAnswering { get; } = new OrchestrationTargetProjectKind(QuestionAnsweringValue);
+        /// <summary> Determines if two <see cref="OrchestrationTargetProjectKind"/> values are the same. </summary>
+        public static bool operator ==(OrchestrationTargetProjectKind left, OrchestrationTargetProjectKind right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="OrchestrationTargetProjectKind"/> values are not the same. </summary>
+        public static bool operator !=(OrchestrationTargetProjectKind left, OrchestrationTargetProjectKind right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="OrchestrationTargetProjectKind"/>. </summary>
+        public static implicit operator OrchestrationTargetProjectKind(string value) => new OrchestrationTargetProjectKind(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is OrchestrationTargetProjectKind other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(OrchestrationTargetProjectKind other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/PrebuiltEntities.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/PrebuiltEntities.Serialization.cs
new file mode 100644
index 000000000000..aeba793e44c7
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/PrebuiltEntities.Serialization.cs
@@ -0,0 +1,156 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class PrebuiltEntities : IUtf8JsonSerializable, IJsonModel<PrebuiltEntities>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<PrebuiltEntities>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<PrebuiltEntities>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<PrebuiltEntities>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(PrebuiltEntities)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("value"u8);
+            writer.WriteStartArray();
+            foreach (var item in Value)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            if (Optional.IsDefined(NextLink))
+            {
+                writer.WritePropertyName("nextLink"u8);
+                writer.WriteStringValue(NextLink);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        PrebuiltEntities IJsonModel<PrebuiltEntities>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<PrebuiltEntities>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(PrebuiltEntities)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializePrebuiltEntities(document.RootElement, options);
+        }
+
+        internal static PrebuiltEntities DeserializePrebuiltEntities(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IReadOnlyList<PrebuiltEntity> value = default;
+            string nextLink = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("value"u8))
+                {
+                    List<PrebuiltEntity> array = new List<PrebuiltEntity>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(PrebuiltEntity.DeserializePrebuiltEntity(item, options));
+                    }
+                    value = array;
+                    continue;
+                }
+                if (property.NameEquals("nextLink"u8))
+                {
+                    nextLink = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new PrebuiltEntities(value, nextLink, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<PrebuiltEntities>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<PrebuiltEntities>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(PrebuiltEntities)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        PrebuiltEntities IPersistableModel<PrebuiltEntities>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<PrebuiltEntities>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializePrebuiltEntities(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(PrebuiltEntities)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<PrebuiltEntities>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static PrebuiltEntities FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializePrebuiltEntities(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/PrebuiltEntities.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/PrebuiltEntities.cs
new file mode 100644
index 000000000000..033325e4b4b1
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/PrebuiltEntities.cs
@@ -0,0 +1,80 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents a list of the retrieved supported prebuilt entities. </summary>
+    public partial class PrebuiltEntities
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="PrebuiltEntities"/>. </summary>
+        /// <param name="value"> The supported prebuilt entities. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        internal PrebuiltEntities(IEnumerable<PrebuiltEntity> value)
+        {
+            Argument.AssertNotNull(value, nameof(value));
+
+            Value = value.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="PrebuiltEntities"/>. </summary>
+        /// <param name="value"> The supported prebuilt entities. </param>
+        /// <param name="nextLink"> The next page link. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal PrebuiltEntities(IReadOnlyList<PrebuiltEntity> value, string nextLink, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Value = value;
+            NextLink = nextLink;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="PrebuiltEntities"/> for deserialization. </summary>
+        internal PrebuiltEntities()
+        {
+        }
+
+        /// <summary> The supported prebuilt entities. </summary>
+        public IReadOnlyList<PrebuiltEntity> Value { get; }
+        /// <summary> The next page link. </summary>
+        public string NextLink { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/PrebuiltEntity.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/PrebuiltEntity.Serialization.cs
new file mode 100644
index 000000000000..549e0ce11a8a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/PrebuiltEntity.Serialization.cs
@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class PrebuiltEntity : IUtf8JsonSerializable, IJsonModel<PrebuiltEntity>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<PrebuiltEntity>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<PrebuiltEntity>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<PrebuiltEntity>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(PrebuiltEntity)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("category"u8);
+            writer.WriteStringValue(Category);
+            writer.WritePropertyName("description"u8);
+            writer.WriteStringValue(Description);
+            writer.WritePropertyName("examples"u8);
+            writer.WriteStringValue(Examples);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        PrebuiltEntity IJsonModel<PrebuiltEntity>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<PrebuiltEntity>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(PrebuiltEntity)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializePrebuiltEntity(document.RootElement, options);
+        }
+
+        internal static PrebuiltEntity DeserializePrebuiltEntity(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string category = default;
+            string description = default;
+            string examples = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("category"u8))
+                {
+                    category = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("description"u8))
+                {
+                    description = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("examples"u8))
+                {
+                    examples = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new PrebuiltEntity(category, description, examples, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<PrebuiltEntity>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<PrebuiltEntity>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(PrebuiltEntity)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        PrebuiltEntity IPersistableModel<PrebuiltEntity>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<PrebuiltEntity>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializePrebuiltEntity(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(PrebuiltEntity)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<PrebuiltEntity>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static PrebuiltEntity FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializePrebuiltEntity(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/PrebuiltEntity.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/PrebuiltEntity.cs
new file mode 100644
index 000000000000..1240233357bd
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/PrebuiltEntity.cs
@@ -0,0 +1,89 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents a supported prebuilt entity. </summary>
+    public partial class PrebuiltEntity
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="PrebuiltEntity"/>. </summary>
+        /// <param name="category"> The prebuilt entity category. </param>
+        /// <param name="description"> The description. </param>
+        /// <param name="examples"> English examples for the entity. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="category"/>, <paramref name="description"/> or <paramref name="examples"/> is null. </exception>
+        internal PrebuiltEntity(string category, string description, string examples)
+        {
+            Argument.AssertNotNull(category, nameof(category));
+            Argument.AssertNotNull(description, nameof(description));
+            Argument.AssertNotNull(examples, nameof(examples));
+
+            Category = category;
+            Description = description;
+            Examples = examples;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="PrebuiltEntity"/>. </summary>
+        /// <param name="category"> The prebuilt entity category. </param>
+        /// <param name="description"> The description. </param>
+        /// <param name="examples"> English examples for the entity. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal PrebuiltEntity(string category, string description, string examples, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Category = category;
+            Description = description;
+            Examples = examples;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="PrebuiltEntity"/> for deserialization. </summary>
+        internal PrebuiltEntity()
+        {
+        }
+
+        /// <summary> The prebuilt entity category. </summary>
+        public string Category { get; }
+        /// <summary> The description. </summary>
+        public string Description { get; }
+        /// <summary> English examples for the entity. </summary>
+        public string Examples { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectDeployment.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectDeployment.Serialization.cs
new file mode 100644
index 000000000000..c24b53ca7dba
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectDeployment.Serialization.cs
@@ -0,0 +1,201 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ProjectDeployment : IUtf8JsonSerializable, IJsonModel<ProjectDeployment>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ProjectDeployment>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ProjectDeployment>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectDeployment>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ProjectDeployment)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("deploymentName"u8);
+            writer.WriteStringValue(DeploymentName);
+            writer.WritePropertyName("modelId"u8);
+            writer.WriteStringValue(ModelId);
+            writer.WritePropertyName("lastTrainedDateTime"u8);
+            writer.WriteStringValue(LastTrainedDateTime, "O");
+            writer.WritePropertyName("lastDeployedDateTime"u8);
+            writer.WriteStringValue(LastDeployedDateTime, "O");
+            writer.WritePropertyName("deploymentExpirationDate"u8);
+            writer.WriteStringValue(DeploymentExpirationDate, "D");
+            writer.WritePropertyName("modelTrainingConfigVersion"u8);
+            writer.WriteStringValue(ModelTrainingConfigVersion);
+            writer.WritePropertyName("assignedResources"u8);
+            writer.WriteStartArray();
+            foreach (var item in AssignedResources)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ProjectDeployment IJsonModel<ProjectDeployment>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectDeployment>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ProjectDeployment)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeProjectDeployment(document.RootElement, options);
+        }
+
+        internal static ProjectDeployment DeserializeProjectDeployment(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string deploymentName = default;
+            string modelId = default;
+            DateTimeOffset lastTrainedDateTime = default;
+            DateTimeOffset lastDeployedDateTime = default;
+            DateTimeOffset deploymentExpirationDate = default;
+            string modelTrainingConfigVersion = default;
+            IReadOnlyList<DeploymentResource> assignedResources = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("deploymentName"u8))
+                {
+                    deploymentName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("modelId"u8))
+                {
+                    modelId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("lastTrainedDateTime"u8))
+                {
+                    lastTrainedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastDeployedDateTime"u8))
+                {
+                    lastDeployedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("deploymentExpirationDate"u8))
+                {
+                    deploymentExpirationDate = property.Value.GetDateTimeOffset("D");
+                    continue;
+                }
+                if (property.NameEquals("modelTrainingConfigVersion"u8))
+                {
+                    modelTrainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("assignedResources"u8))
+                {
+                    List<DeploymentResource> array = new List<DeploymentResource>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(DeploymentResource.DeserializeDeploymentResource(item, options));
+                    }
+                    assignedResources = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ProjectDeployment(
+                deploymentName,
+                modelId,
+                lastTrainedDateTime,
+                lastDeployedDateTime,
+                deploymentExpirationDate,
+                modelTrainingConfigVersion,
+                assignedResources,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ProjectDeployment>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectDeployment>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ProjectDeployment)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ProjectDeployment IPersistableModel<ProjectDeployment>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectDeployment>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeProjectDeployment(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ProjectDeployment)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ProjectDeployment>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ProjectDeployment FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeProjectDeployment(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectDeployment.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectDeployment.cs
new file mode 100644
index 000000000000..3db0fd9ad150
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectDeployment.cs
@@ -0,0 +1,115 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents a project deployment. </summary>
+    public partial class ProjectDeployment
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ProjectDeployment"/>. </summary>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="modelId"> Represents deployment modelId. </param>
+        /// <param name="lastTrainedDateTime"> Represents deployment last trained time. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <param name="modelTrainingConfigVersion"> Represents model training config version. </param>
+        /// <param name="assignedResources"> Represents the metadata of the assigned Azure resources. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="deploymentName"/>, <paramref name="modelId"/>, <paramref name="modelTrainingConfigVersion"/> or <paramref name="assignedResources"/> is null. </exception>
+        internal ProjectDeployment(string deploymentName, string modelId, DateTimeOffset lastTrainedDateTime, DateTimeOffset lastDeployedDateTime, DateTimeOffset deploymentExpirationDate, string modelTrainingConfigVersion, IEnumerable<DeploymentResource> assignedResources)
+        {
+            Argument.AssertNotNull(deploymentName, nameof(deploymentName));
+            Argument.AssertNotNull(modelId, nameof(modelId));
+            Argument.AssertNotNull(modelTrainingConfigVersion, nameof(modelTrainingConfigVersion));
+            Argument.AssertNotNull(assignedResources, nameof(assignedResources));
+
+            DeploymentName = deploymentName;
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastDeployedDateTime = lastDeployedDateTime;
+            DeploymentExpirationDate = deploymentExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            AssignedResources = assignedResources.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ProjectDeployment"/>. </summary>
+        /// <param name="deploymentName"> Represents deployment name. </param>
+        /// <param name="modelId"> Represents deployment modelId. </param>
+        /// <param name="lastTrainedDateTime"> Represents deployment last trained time. </param>
+        /// <param name="lastDeployedDateTime"> Represents deployment last deployed time. </param>
+        /// <param name="deploymentExpirationDate"> Represents deployment expiration date in the runtime. </param>
+        /// <param name="modelTrainingConfigVersion"> Represents model training config version. </param>
+        /// <param name="assignedResources"> Represents the metadata of the assigned Azure resources. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ProjectDeployment(string deploymentName, string modelId, DateTimeOffset lastTrainedDateTime, DateTimeOffset lastDeployedDateTime, DateTimeOffset deploymentExpirationDate, string modelTrainingConfigVersion, IReadOnlyList<DeploymentResource> assignedResources, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            DeploymentName = deploymentName;
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastDeployedDateTime = lastDeployedDateTime;
+            DeploymentExpirationDate = deploymentExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            AssignedResources = assignedResources;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ProjectDeployment"/> for deserialization. </summary>
+        internal ProjectDeployment()
+        {
+        }
+
+        /// <summary> Represents deployment name. </summary>
+        public string DeploymentName { get; }
+        /// <summary> Represents deployment modelId. </summary>
+        public string ModelId { get; }
+        /// <summary> Represents deployment last trained time. </summary>
+        public DateTimeOffset LastTrainedDateTime { get; }
+        /// <summary> Represents deployment last deployed time. </summary>
+        public DateTimeOffset LastDeployedDateTime { get; }
+        /// <summary> Represents deployment expiration date in the runtime. </summary>
+        public DateTimeOffset DeploymentExpirationDate { get; }
+        /// <summary> Represents model training config version. </summary>
+        public string ModelTrainingConfigVersion { get; }
+        /// <summary> Represents the metadata of the assigned Azure resources. </summary>
+        public IReadOnlyList<DeploymentResource> AssignedResources { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectKind.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectKind.cs
new file mode 100644
index 000000000000..c85b61e20158
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectKind.cs
@@ -0,0 +1,54 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The ProjectKind. </summary>
+    public readonly partial struct ProjectKind : IEquatable<ProjectKind>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="ProjectKind"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public ProjectKind(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string ConversationValue = "Conversation";
+        private const string OrchestrationValue = "Orchestration";
+        private const string CustomConversationSummarizationValue = "CustomConversationSummarization";
+
+        /// <summary> A project to build natural language into apps, bots, and IoT devices. </summary>
+        public static ProjectKind Conversation { get; } = new ProjectKind(ConversationValue);
+        /// <summary> A project to connect and orchestrate Conversation, Custom question answering and LUIS projects together in one single project. </summary>
+        public static ProjectKind Orchestration { get; } = new ProjectKind(OrchestrationValue);
+        /// <summary> A project to build conversation summarization models which are able to summarize long conversations. </summary>
+        public static ProjectKind CustomConversationSummarization { get; } = new ProjectKind(CustomConversationSummarizationValue);
+        /// <summary> Determines if two <see cref="ProjectKind"/> values are the same. </summary>
+        public static bool operator ==(ProjectKind left, ProjectKind right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="ProjectKind"/> values are not the same. </summary>
+        public static bool operator !=(ProjectKind left, ProjectKind right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="ProjectKind"/>. </summary>
+        public static implicit operator ProjectKind(string value) => new ProjectKind(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is ProjectKind other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(ProjectKind other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectMetadata.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectMetadata.Serialization.cs
new file mode 100644
index 000000000000..e3b97c6c6ffa
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectMetadata.Serialization.cs
@@ -0,0 +1,261 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ProjectMetadata : IUtf8JsonSerializable, IJsonModel<ProjectMetadata>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ProjectMetadata>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ProjectMetadata>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ProjectMetadata)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastModifiedDateTime"u8);
+            writer.WriteStringValue(LastModifiedDateTime, "O");
+            if (Optional.IsDefined(LastTrainedDateTime))
+            {
+                writer.WritePropertyName("lastTrainedDateTime"u8);
+                writer.WriteStringValue(LastTrainedDateTime.Value, "O");
+            }
+            if (Optional.IsDefined(LastDeployedDateTime))
+            {
+                writer.WritePropertyName("lastDeployedDateTime"u8);
+                writer.WriteStringValue(LastDeployedDateTime.Value, "O");
+            }
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            if (Optional.IsDefined(Settings))
+            {
+                writer.WritePropertyName("settings"u8);
+                writer.WriteObjectValue(Settings, options);
+            }
+            if (Optional.IsDefined(StorageInputContainerName))
+            {
+                writer.WritePropertyName("storageInputContainerName"u8);
+                writer.WriteStringValue(StorageInputContainerName);
+            }
+            writer.WritePropertyName("projectName"u8);
+            writer.WriteStringValue(ProjectName);
+            if (Optional.IsDefined(Multilingual))
+            {
+                writer.WritePropertyName("multilingual"u8);
+                writer.WriteBooleanValue(Multilingual.Value);
+            }
+            if (Optional.IsDefined(Description))
+            {
+                writer.WritePropertyName("description"u8);
+                writer.WriteStringValue(Description);
+            }
+            writer.WritePropertyName("language"u8);
+            writer.WriteStringValue(Language);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ProjectMetadata IJsonModel<ProjectMetadata>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ProjectMetadata)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeProjectMetadata(document.RootElement, options);
+        }
+
+        internal static ProjectMetadata DeserializeProjectMetadata(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastModifiedDateTime = default;
+            DateTimeOffset? lastTrainedDateTime = default;
+            DateTimeOffset? lastDeployedDateTime = default;
+            ProjectKind projectKind = default;
+            ProjectSettings settings = default;
+            string storageInputContainerName = default;
+            string projectName = default;
+            bool? multilingual = default;
+            string description = default;
+            string language = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastModifiedDateTime"u8))
+                {
+                    lastModifiedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastTrainedDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    lastTrainedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastDeployedDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    lastDeployedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("settings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    settings = ProjectSettings.DeserializeProjectSettings(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("storageInputContainerName"u8))
+                {
+                    storageInputContainerName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("projectName"u8))
+                {
+                    projectName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("multilingual"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    multilingual = property.Value.GetBoolean();
+                    continue;
+                }
+                if (property.NameEquals("description"u8))
+                {
+                    description = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ProjectMetadata(
+                createdDateTime,
+                lastModifiedDateTime,
+                lastTrainedDateTime,
+                lastDeployedDateTime,
+                projectKind,
+                settings,
+                storageInputContainerName,
+                projectName,
+                multilingual,
+                description,
+                language,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ProjectMetadata>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ProjectMetadata)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ProjectMetadata IPersistableModel<ProjectMetadata>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeProjectMetadata(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ProjectMetadata)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ProjectMetadata>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ProjectMetadata FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeProjectMetadata(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectMetadata.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectMetadata.cs
new file mode 100644
index 000000000000..e08cae680f94
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectMetadata.cs
@@ -0,0 +1,124 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the metadata of a project. </summary>
+    public partial class ProjectMetadata
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ProjectMetadata"/>. </summary>
+        /// <param name="createdDateTime"> Represents the project creation datetime. </param>
+        /// <param name="lastModifiedDateTime"> Represents the project creation datetime. </param>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="language"> The project language. This is BCP-47 representation of a language. For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish etc. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="projectName"/> or <paramref name="language"/> is null. </exception>
+        internal ProjectMetadata(DateTimeOffset createdDateTime, DateTimeOffset lastModifiedDateTime, ProjectKind projectKind, string projectName, string language)
+        {
+            Argument.AssertNotNull(projectName, nameof(projectName));
+            Argument.AssertNotNull(language, nameof(language));
+
+            CreatedDateTime = createdDateTime;
+            LastModifiedDateTime = lastModifiedDateTime;
+            ProjectKind = projectKind;
+            ProjectName = projectName;
+            Language = language;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ProjectMetadata"/>. </summary>
+        /// <param name="createdDateTime"> Represents the project creation datetime. </param>
+        /// <param name="lastModifiedDateTime"> Represents the project creation datetime. </param>
+        /// <param name="lastTrainedDateTime"> Represents the project last trained datetime. </param>
+        /// <param name="lastDeployedDateTime"> Represents the project last deployed datetime. </param>
+        /// <param name="projectKind"> Represents the project kind. </param>
+        /// <param name="settings"> The project settings. </param>
+        /// <param name="storageInputContainerName"> The storage container name in case of conversation summarization. </param>
+        /// <param name="projectName"> The new project name. </param>
+        /// <param name="multilingual"> Whether the project would be used for multiple languages or not. </param>
+        /// <param name="description"> The project description. </param>
+        /// <param name="language"> The project language. This is BCP-47 representation of a language. For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish etc. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ProjectMetadata(DateTimeOffset createdDateTime, DateTimeOffset lastModifiedDateTime, DateTimeOffset? lastTrainedDateTime, DateTimeOffset? lastDeployedDateTime, ProjectKind projectKind, ProjectSettings settings, string storageInputContainerName, string projectName, bool? multilingual, string description, string language, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            CreatedDateTime = createdDateTime;
+            LastModifiedDateTime = lastModifiedDateTime;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastDeployedDateTime = lastDeployedDateTime;
+            ProjectKind = projectKind;
+            Settings = settings;
+            StorageInputContainerName = storageInputContainerName;
+            ProjectName = projectName;
+            Multilingual = multilingual;
+            Description = description;
+            Language = language;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ProjectMetadata"/> for deserialization. </summary>
+        internal ProjectMetadata()
+        {
+        }
+
+        /// <summary> Represents the project creation datetime. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> Represents the project creation datetime. </summary>
+        public DateTimeOffset LastModifiedDateTime { get; }
+        /// <summary> Represents the project last trained datetime. </summary>
+        public DateTimeOffset? LastTrainedDateTime { get; }
+        /// <summary> Represents the project last deployed datetime. </summary>
+        public DateTimeOffset? LastDeployedDateTime { get; }
+        /// <summary> Represents the project kind. </summary>
+        public ProjectKind ProjectKind { get; }
+        /// <summary> The project settings. </summary>
+        public ProjectSettings Settings { get; }
+        /// <summary> The storage container name in case of conversation summarization. </summary>
+        public string StorageInputContainerName { get; }
+        /// <summary> The new project name. </summary>
+        public string ProjectName { get; }
+        /// <summary> Whether the project would be used for multiple languages or not. </summary>
+        public bool? Multilingual { get; }
+        /// <summary> The project description. </summary>
+        public string Description { get; }
+        /// <summary> The project language. This is BCP-47 representation of a language. For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish etc. </summary>
+        public string Language { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectSettings.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectSettings.Serialization.cs
new file mode 100644
index 000000000000..43f34106c74c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectSettings.Serialization.cs
@@ -0,0 +1,135 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ProjectSettings : IUtf8JsonSerializable, IJsonModel<ProjectSettings>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ProjectSettings>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ProjectSettings>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectSettings>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ProjectSettings)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("confidenceThreshold"u8);
+            writer.WriteNumberValue(ConfidenceThreshold);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ProjectSettings IJsonModel<ProjectSettings>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectSettings>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ProjectSettings)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeProjectSettings(document.RootElement, options);
+        }
+
+        internal static ProjectSettings DeserializeProjectSettings(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            float confidenceThreshold = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("confidenceThreshold"u8))
+                {
+                    confidenceThreshold = property.Value.GetSingle();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ProjectSettings(confidenceThreshold, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ProjectSettings>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectSettings>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ProjectSettings)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ProjectSettings IPersistableModel<ProjectSettings>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectSettings>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeProjectSettings(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ProjectSettings)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ProjectSettings>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ProjectSettings FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeProjectSettings(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectSettings.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectSettings.cs
new file mode 100644
index 000000000000..06fbb8bdd850
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectSettings.cs
@@ -0,0 +1,72 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the settings used to define the project behavior. </summary>
+    public partial class ProjectSettings
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ProjectSettings"/>. </summary>
+        /// <param name="confidenceThreshold"> The threshold of the intent with the highest confidence, at which the prediction will automatically be changed to "None". The value of the threshold should be between 0 and 1 inclusive. </param>
+        public ProjectSettings(float confidenceThreshold)
+        {
+            ConfidenceThreshold = confidenceThreshold;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ProjectSettings"/>. </summary>
+        /// <param name="confidenceThreshold"> The threshold of the intent with the highest confidence, at which the prediction will automatically be changed to "None". The value of the threshold should be between 0 and 1 inclusive. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ProjectSettings(float confidenceThreshold, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ConfidenceThreshold = confidenceThreshold;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ProjectSettings"/> for deserialization. </summary>
+        internal ProjectSettings()
+        {
+        }
+
+        /// <summary> The threshold of the intent with the highest confidence, at which the prediction will automatically be changed to "None". The value of the threshold should be between 0 and 1 inclusive. </summary>
+        public float ConfidenceThreshold { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectTrainedModel.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectTrainedModel.Serialization.cs
new file mode 100644
index 000000000000..fb03a2521a27
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectTrainedModel.Serialization.cs
@@ -0,0 +1,191 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ProjectTrainedModel : IUtf8JsonSerializable, IJsonModel<ProjectTrainedModel>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ProjectTrainedModel>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ProjectTrainedModel>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectTrainedModel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ProjectTrainedModel)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("label"u8);
+            writer.WriteStringValue(Label);
+            writer.WritePropertyName("modelId"u8);
+            writer.WriteStringValue(ModelId);
+            writer.WritePropertyName("lastTrainedDateTime"u8);
+            writer.WriteStringValue(LastTrainedDateTime, "O");
+            writer.WritePropertyName("lastTrainingDurationInSeconds"u8);
+            writer.WriteNumberValue(LastTrainingDurationInSeconds);
+            writer.WritePropertyName("modelExpirationDate"u8);
+            writer.WriteStringValue(ModelExpirationDate, "D");
+            writer.WritePropertyName("modelTrainingConfigVersion"u8);
+            writer.WriteStringValue(ModelTrainingConfigVersion);
+            writer.WritePropertyName("hasSnapshot"u8);
+            writer.WriteBooleanValue(HasSnapshot);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ProjectTrainedModel IJsonModel<ProjectTrainedModel>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectTrainedModel>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ProjectTrainedModel)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeProjectTrainedModel(document.RootElement, options);
+        }
+
+        internal static ProjectTrainedModel DeserializeProjectTrainedModel(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string label = default;
+            string modelId = default;
+            DateTimeOffset lastTrainedDateTime = default;
+            int lastTrainingDurationInSeconds = default;
+            DateTimeOffset modelExpirationDate = default;
+            string modelTrainingConfigVersion = default;
+            bool hasSnapshot = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("label"u8))
+                {
+                    label = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("modelId"u8))
+                {
+                    modelId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("lastTrainedDateTime"u8))
+                {
+                    lastTrainedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastTrainingDurationInSeconds"u8))
+                {
+                    lastTrainingDurationInSeconds = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("modelExpirationDate"u8))
+                {
+                    modelExpirationDate = property.Value.GetDateTimeOffset("D");
+                    continue;
+                }
+                if (property.NameEquals("modelTrainingConfigVersion"u8))
+                {
+                    modelTrainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("hasSnapshot"u8))
+                {
+                    hasSnapshot = property.Value.GetBoolean();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ProjectTrainedModel(
+                label,
+                modelId,
+                lastTrainedDateTime,
+                lastTrainingDurationInSeconds,
+                modelExpirationDate,
+                modelTrainingConfigVersion,
+                hasSnapshot,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ProjectTrainedModel>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectTrainedModel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ProjectTrainedModel)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ProjectTrainedModel IPersistableModel<ProjectTrainedModel>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ProjectTrainedModel>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeProjectTrainedModel(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ProjectTrainedModel)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ProjectTrainedModel>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ProjectTrainedModel FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeProjectTrainedModel(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectTrainedModel.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectTrainedModel.cs
new file mode 100644
index 000000000000..0cabe958db40
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ProjectTrainedModel.cs
@@ -0,0 +1,113 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents a trained model. </summary>
+    public partial class ProjectTrainedModel
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ProjectTrainedModel"/>. </summary>
+        /// <param name="label"> The trained model label. </param>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastTrainingDurationInSeconds"> The duration of the model's last training request in seconds. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <param name="hasSnapshot"> The flag to indicate if the trained model has a snapshot ready. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="label"/>, <paramref name="modelId"/> or <paramref name="modelTrainingConfigVersion"/> is null. </exception>
+        internal ProjectTrainedModel(string label, string modelId, DateTimeOffset lastTrainedDateTime, int lastTrainingDurationInSeconds, DateTimeOffset modelExpirationDate, string modelTrainingConfigVersion, bool hasSnapshot)
+        {
+            Argument.AssertNotNull(label, nameof(label));
+            Argument.AssertNotNull(modelId, nameof(modelId));
+            Argument.AssertNotNull(modelTrainingConfigVersion, nameof(modelTrainingConfigVersion));
+
+            Label = label;
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastTrainingDurationInSeconds = lastTrainingDurationInSeconds;
+            ModelExpirationDate = modelExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            HasSnapshot = hasSnapshot;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ProjectTrainedModel"/>. </summary>
+        /// <param name="label"> The trained model label. </param>
+        /// <param name="modelId"> The model ID. </param>
+        /// <param name="lastTrainedDateTime"> The last trained date time of the model. </param>
+        /// <param name="lastTrainingDurationInSeconds"> The duration of the model's last training request in seconds. </param>
+        /// <param name="modelExpirationDate"> The model expiration date. </param>
+        /// <param name="modelTrainingConfigVersion"> The model training config version. </param>
+        /// <param name="hasSnapshot"> The flag to indicate if the trained model has a snapshot ready. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ProjectTrainedModel(string label, string modelId, DateTimeOffset lastTrainedDateTime, int lastTrainingDurationInSeconds, DateTimeOffset modelExpirationDate, string modelTrainingConfigVersion, bool hasSnapshot, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Label = label;
+            ModelId = modelId;
+            LastTrainedDateTime = lastTrainedDateTime;
+            LastTrainingDurationInSeconds = lastTrainingDurationInSeconds;
+            ModelExpirationDate = modelExpirationDate;
+            ModelTrainingConfigVersion = modelTrainingConfigVersion;
+            HasSnapshot = hasSnapshot;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ProjectTrainedModel"/> for deserialization. </summary>
+        internal ProjectTrainedModel()
+        {
+        }
+
+        /// <summary> The trained model label. </summary>
+        public string Label { get; }
+        /// <summary> The model ID. </summary>
+        public string ModelId { get; }
+        /// <summary> The last trained date time of the model. </summary>
+        public DateTimeOffset LastTrainedDateTime { get; }
+        /// <summary> The duration of the model's last training request in seconds. </summary>
+        public int LastTrainingDurationInSeconds { get; }
+        /// <summary> The model expiration date. </summary>
+        public DateTimeOffset ModelExpirationDate { get; }
+        /// <summary> The model training config version. </summary>
+        public string ModelTrainingConfigVersion { get; }
+        /// <summary> The flag to indicate if the trained model has a snapshot ready. </summary>
+        public bool HasSnapshot { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ResourceMetadata.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ResourceMetadata.Serialization.cs
new file mode 100644
index 000000000000..629a6454fea9
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ResourceMetadata.Serialization.cs
@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class ResourceMetadata : IUtf8JsonSerializable, IJsonModel<ResourceMetadata>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ResourceMetadata>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ResourceMetadata>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ResourceMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ResourceMetadata)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("azureResourceId"u8);
+            writer.WriteStringValue(AzureResourceId);
+            writer.WritePropertyName("customDomain"u8);
+            writer.WriteStringValue(CustomDomain);
+            writer.WritePropertyName("region"u8);
+            writer.WriteStringValue(Region);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ResourceMetadata IJsonModel<ResourceMetadata>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ResourceMetadata>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ResourceMetadata)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeResourceMetadata(document.RootElement, options);
+        }
+
+        internal static ResourceMetadata DeserializeResourceMetadata(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string azureResourceId = default;
+            string customDomain = default;
+            string region = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("azureResourceId"u8))
+                {
+                    azureResourceId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("customDomain"u8))
+                {
+                    customDomain = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("region"u8))
+                {
+                    region = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new ResourceMetadata(azureResourceId, customDomain, region, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ResourceMetadata>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ResourceMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ResourceMetadata)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ResourceMetadata IPersistableModel<ResourceMetadata>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ResourceMetadata>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeResourceMetadata(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ResourceMetadata)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ResourceMetadata>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static ResourceMetadata FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeResourceMetadata(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ResourceMetadata.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ResourceMetadata.cs
new file mode 100644
index 000000000000..6b2d5bb5e2c0
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/ResourceMetadata.cs
@@ -0,0 +1,89 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents metadata for the Azure resource.. </summary>
+    public partial class ResourceMetadata
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="ResourceMetadata"/>. </summary>
+        /// <param name="azureResourceId"> Represents the Azure resource ID. </param>
+        /// <param name="customDomain"> Represents the Azure resource custom domain. </param>
+        /// <param name="region"> Represents the Azure resource region. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="azureResourceId"/>, <paramref name="customDomain"/> or <paramref name="region"/> is null. </exception>
+        public ResourceMetadata(string azureResourceId, string customDomain, string region)
+        {
+            Argument.AssertNotNull(azureResourceId, nameof(azureResourceId));
+            Argument.AssertNotNull(customDomain, nameof(customDomain));
+            Argument.AssertNotNull(region, nameof(region));
+
+            AzureResourceId = azureResourceId;
+            CustomDomain = customDomain;
+            Region = region;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ResourceMetadata"/>. </summary>
+        /// <param name="azureResourceId"> Represents the Azure resource ID. </param>
+        /// <param name="customDomain"> Represents the Azure resource custom domain. </param>
+        /// <param name="region"> Represents the Azure resource region. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal ResourceMetadata(string azureResourceId, string customDomain, string region, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            AzureResourceId = azureResourceId;
+            CustomDomain = customDomain;
+            Region = region;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="ResourceMetadata"/> for deserialization. </summary>
+        internal ResourceMetadata()
+        {
+        }
+
+        /// <summary> Represents the Azure resource ID. </summary>
+        public string AzureResourceId { get; }
+        /// <summary> Represents the Azure resource custom domain. </summary>
+        public string CustomDomain { get; }
+        /// <summary> Represents the Azure resource region. </summary>
+        public string Region { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/StringIndexType.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/StringIndexType.cs
new file mode 100644
index 000000000000..6422d222b70b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/StringIndexType.cs
@@ -0,0 +1,52 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The StringIndexType. </summary>
+    public readonly partial struct StringIndexType : IEquatable<StringIndexType>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="StringIndexType"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public StringIndexType(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string Utf16CodeUnitValue = "Utf16CodeUnit";
+
+        /// <summary>
+        /// The offset and length values will correspond to UTF-16 code units. Use this
+        /// option if your application is written in a language that support Unicode, for
+        /// example Java, JavaScript.
+        /// </summary>
+        public static StringIndexType Utf16CodeUnit { get; } = new StringIndexType(Utf16CodeUnitValue);
+        /// <summary> Determines if two <see cref="StringIndexType"/> values are the same. </summary>
+        public static bool operator ==(StringIndexType left, StringIndexType right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="StringIndexType"/> values are not the same. </summary>
+        public static bool operator !=(StringIndexType left, StringIndexType right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="StringIndexType"/>. </summary>
+        public static implicit operator StringIndexType(string value) => new StringIndexType(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is StringIndexType other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(StringIndexType other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SubTrainingJobState.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SubTrainingJobState.Serialization.cs
new file mode 100644
index 000000000000..4c716c8d949e
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SubTrainingJobState.Serialization.cs
@@ -0,0 +1,173 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class SubTrainingJobState : IUtf8JsonSerializable, IJsonModel<SubTrainingJobState>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<SubTrainingJobState>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<SubTrainingJobState>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SubTrainingJobState>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SubTrainingJobState)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("percentComplete"u8);
+            writer.WriteNumberValue(PercentComplete);
+            if (Optional.IsDefined(StartDateTime))
+            {
+                writer.WritePropertyName("startDateTime"u8);
+                writer.WriteStringValue(StartDateTime.Value, "O");
+            }
+            if (Optional.IsDefined(EndDateTime))
+            {
+                writer.WritePropertyName("endDateTime"u8);
+                writer.WriteStringValue(EndDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        SubTrainingJobState IJsonModel<SubTrainingJobState>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SubTrainingJobState>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SubTrainingJobState)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeSubTrainingJobState(document.RootElement, options);
+        }
+
+        internal static SubTrainingJobState DeserializeSubTrainingJobState(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            int percentComplete = default;
+            DateTimeOffset? startDateTime = default;
+            DateTimeOffset? endDateTime = default;
+            JobStatus status = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("percentComplete"u8))
+                {
+                    percentComplete = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("startDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    startDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("endDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    endDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new SubTrainingJobState(percentComplete, startDateTime, endDateTime, status, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<SubTrainingJobState>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SubTrainingJobState>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(SubTrainingJobState)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        SubTrainingJobState IPersistableModel<SubTrainingJobState>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SubTrainingJobState>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeSubTrainingJobState(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(SubTrainingJobState)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<SubTrainingJobState>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static SubTrainingJobState FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeSubTrainingJobState(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SubTrainingJobState.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SubTrainingJobState.cs
new file mode 100644
index 000000000000..678dffd1e2f4
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SubTrainingJobState.cs
@@ -0,0 +1,86 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the detailed state of a training sub-operation. </summary>
+    public partial class SubTrainingJobState
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="SubTrainingJobState"/>. </summary>
+        /// <param name="percentComplete"> Represents progress percentage. </param>
+        /// <param name="status"> Represents the status of the sub-operation. </param>
+        internal SubTrainingJobState(int percentComplete, JobStatus status)
+        {
+            PercentComplete = percentComplete;
+            Status = status;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SubTrainingJobState"/>. </summary>
+        /// <param name="percentComplete"> Represents progress percentage. </param>
+        /// <param name="startDateTime"> Represents the start date time. </param>
+        /// <param name="endDateTime"> Represents the end date time. </param>
+        /// <param name="status"> Represents the status of the sub-operation. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal SubTrainingJobState(int percentComplete, DateTimeOffset? startDateTime, DateTimeOffset? endDateTime, JobStatus status, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            PercentComplete = percentComplete;
+            StartDateTime = startDateTime;
+            EndDateTime = endDateTime;
+            Status = status;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SubTrainingJobState"/> for deserialization. </summary>
+        internal SubTrainingJobState()
+        {
+        }
+
+        /// <summary> Represents progress percentage. </summary>
+        public int PercentComplete { get; }
+        /// <summary> Represents the start date time. </summary>
+        public DateTimeOffset? StartDateTime { get; }
+        /// <summary> Represents the end date time. </summary>
+        public DateTimeOffset? EndDateTime { get; }
+        /// <summary> Represents the status of the sub-operation. </summary>
+        public JobStatus Status { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SupportedLanguage.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SupportedLanguage.Serialization.cs
new file mode 100644
index 000000000000..336362b87a9c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SupportedLanguage.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class SupportedLanguage : IUtf8JsonSerializable, IJsonModel<SupportedLanguage>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<SupportedLanguage>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<SupportedLanguage>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SupportedLanguage>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SupportedLanguage)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("languageName"u8);
+            writer.WriteStringValue(LanguageName);
+            writer.WritePropertyName("languageCode"u8);
+            writer.WriteStringValue(LanguageCode);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        SupportedLanguage IJsonModel<SupportedLanguage>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SupportedLanguage>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SupportedLanguage)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeSupportedLanguage(document.RootElement, options);
+        }
+
+        internal static SupportedLanguage DeserializeSupportedLanguage(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string languageName = default;
+            string languageCode = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("languageName"u8))
+                {
+                    languageName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("languageCode"u8))
+                {
+                    languageCode = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new SupportedLanguage(languageName, languageCode, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<SupportedLanguage>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SupportedLanguage>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(SupportedLanguage)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        SupportedLanguage IPersistableModel<SupportedLanguage>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SupportedLanguage>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeSupportedLanguage(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(SupportedLanguage)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<SupportedLanguage>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static SupportedLanguage FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeSupportedLanguage(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SupportedLanguage.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SupportedLanguage.cs
new file mode 100644
index 000000000000..9a7900ff57cb
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SupportedLanguage.cs
@@ -0,0 +1,91 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents a supported language. </summary>
+    public partial class SupportedLanguage
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="SupportedLanguage"/>. </summary>
+        /// <param name="languageName"> The language name. </param>
+        /// <param name="languageCode">
+        /// The language code. This is BCP-47 representation of a language. For example,
+        /// "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="languageName"/> or <paramref name="languageCode"/> is null. </exception>
+        internal SupportedLanguage(string languageName, string languageCode)
+        {
+            Argument.AssertNotNull(languageName, nameof(languageName));
+            Argument.AssertNotNull(languageCode, nameof(languageCode));
+
+            LanguageName = languageName;
+            LanguageCode = languageCode;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SupportedLanguage"/>. </summary>
+        /// <param name="languageName"> The language name. </param>
+        /// <param name="languageCode">
+        /// The language code. This is BCP-47 representation of a language. For example,
+        /// "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal SupportedLanguage(string languageName, string languageCode, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            LanguageName = languageName;
+            LanguageCode = languageCode;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SupportedLanguage"/> for deserialization. </summary>
+        internal SupportedLanguage()
+        {
+        }
+
+        /// <summary> The language name. </summary>
+        public string LanguageName { get; }
+        /// <summary>
+        /// The language code. This is BCP-47 representation of a language. For example,
+        /// "en" for English, "en-gb" for English (UK), "es" for Spanish etc.
+        /// </summary>
+        public string LanguageCode { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SupportedLanguages.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SupportedLanguages.Serialization.cs
new file mode 100644
index 000000000000..ee1fadbe34ff
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SupportedLanguages.Serialization.cs
@@ -0,0 +1,156 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class SupportedLanguages : IUtf8JsonSerializable, IJsonModel<SupportedLanguages>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<SupportedLanguages>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<SupportedLanguages>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SupportedLanguages>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SupportedLanguages)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("value"u8);
+            writer.WriteStartArray();
+            foreach (var item in Value)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            if (Optional.IsDefined(NextLink))
+            {
+                writer.WritePropertyName("nextLink"u8);
+                writer.WriteStringValue(NextLink);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        SupportedLanguages IJsonModel<SupportedLanguages>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SupportedLanguages>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SupportedLanguages)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeSupportedLanguages(document.RootElement, options);
+        }
+
+        internal static SupportedLanguages DeserializeSupportedLanguages(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IReadOnlyList<SupportedLanguage> value = default;
+            string nextLink = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("value"u8))
+                {
+                    List<SupportedLanguage> array = new List<SupportedLanguage>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(SupportedLanguage.DeserializeSupportedLanguage(item, options));
+                    }
+                    value = array;
+                    continue;
+                }
+                if (property.NameEquals("nextLink"u8))
+                {
+                    nextLink = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new SupportedLanguages(value, nextLink, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<SupportedLanguages>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SupportedLanguages>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(SupportedLanguages)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        SupportedLanguages IPersistableModel<SupportedLanguages>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SupportedLanguages>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeSupportedLanguages(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(SupportedLanguages)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<SupportedLanguages>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static SupportedLanguages FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeSupportedLanguages(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SupportedLanguages.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SupportedLanguages.cs
new file mode 100644
index 000000000000..4550f34fc42d
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SupportedLanguages.cs
@@ -0,0 +1,80 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents a list of retrieved languages. </summary>
+    public partial class SupportedLanguages
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="SupportedLanguages"/>. </summary>
+        /// <param name="value"> The list of the languages. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        internal SupportedLanguages(IEnumerable<SupportedLanguage> value)
+        {
+            Argument.AssertNotNull(value, nameof(value));
+
+            Value = value.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SupportedLanguages"/>. </summary>
+        /// <param name="value"> The list of the languages. </param>
+        /// <param name="nextLink"> The next page link. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal SupportedLanguages(IReadOnlyList<SupportedLanguage> value, string nextLink, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Value = value;
+            NextLink = nextLink;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SupportedLanguages"/> for deserialization. </summary>
+        internal SupportedLanguages()
+        {
+        }
+
+        /// <summary> The list of the languages. </summary>
+        public IReadOnlyList<SupportedLanguage> Value { get; }
+        /// <summary> The next page link. </summary>
+        public string NextLink { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SwapDeploymentsConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SwapDeploymentsConfig.Serialization.cs
new file mode 100644
index 000000000000..0a7be7ea106b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SwapDeploymentsConfig.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class SwapDeploymentsConfig : IUtf8JsonSerializable, IJsonModel<SwapDeploymentsConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<SwapDeploymentsConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<SwapDeploymentsConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SwapDeploymentsConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SwapDeploymentsConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("firstDeploymentName"u8);
+            writer.WriteStringValue(FirstDeploymentName);
+            writer.WritePropertyName("secondDeploymentName"u8);
+            writer.WriteStringValue(SecondDeploymentName);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        SwapDeploymentsConfig IJsonModel<SwapDeploymentsConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SwapDeploymentsConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(SwapDeploymentsConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeSwapDeploymentsConfig(document.RootElement, options);
+        }
+
+        internal static SwapDeploymentsConfig DeserializeSwapDeploymentsConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string firstDeploymentName = default;
+            string secondDeploymentName = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("firstDeploymentName"u8))
+                {
+                    firstDeploymentName = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("secondDeploymentName"u8))
+                {
+                    secondDeploymentName = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new SwapDeploymentsConfig(firstDeploymentName, secondDeploymentName, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<SwapDeploymentsConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SwapDeploymentsConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(SwapDeploymentsConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        SwapDeploymentsConfig IPersistableModel<SwapDeploymentsConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<SwapDeploymentsConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeSwapDeploymentsConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(SwapDeploymentsConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<SwapDeploymentsConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static SwapDeploymentsConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeSwapDeploymentsConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SwapDeploymentsConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SwapDeploymentsConfig.cs
new file mode 100644
index 000000000000..c96138194720
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/SwapDeploymentsConfig.cs
@@ -0,0 +1,82 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the options for swapping two deployments together. </summary>
+    public partial class SwapDeploymentsConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="SwapDeploymentsConfig"/>. </summary>
+        /// <param name="firstDeploymentName"> Represents the first deployment name. </param>
+        /// <param name="secondDeploymentName"> Represents the second deployment name. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="firstDeploymentName"/> or <paramref name="secondDeploymentName"/> is null. </exception>
+        public SwapDeploymentsConfig(string firstDeploymentName, string secondDeploymentName)
+        {
+            Argument.AssertNotNull(firstDeploymentName, nameof(firstDeploymentName));
+            Argument.AssertNotNull(secondDeploymentName, nameof(secondDeploymentName));
+
+            FirstDeploymentName = firstDeploymentName;
+            SecondDeploymentName = secondDeploymentName;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SwapDeploymentsConfig"/>. </summary>
+        /// <param name="firstDeploymentName"> Represents the first deployment name. </param>
+        /// <param name="secondDeploymentName"> Represents the second deployment name. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal SwapDeploymentsConfig(string firstDeploymentName, string secondDeploymentName, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            FirstDeploymentName = firstDeploymentName;
+            SecondDeploymentName = secondDeploymentName;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="SwapDeploymentsConfig"/> for deserialization. </summary>
+        internal SwapDeploymentsConfig()
+        {
+        }
+
+        /// <summary> Represents the first deployment name. </summary>
+        public string FirstDeploymentName { get; }
+        /// <summary> Represents the second deployment name. </summary>
+        public string SecondDeploymentName { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingConfigVersion.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingConfigVersion.Serialization.cs
new file mode 100644
index 000000000000..18edde7a4b05
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingConfigVersion.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class TrainingConfigVersion : IUtf8JsonSerializable, IJsonModel<TrainingConfigVersion>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<TrainingConfigVersion>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<TrainingConfigVersion>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingConfigVersion>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingConfigVersion)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("trainingConfigVersion"u8);
+            writer.WriteStringValue(TrainingConfigVersionProperty);
+            writer.WritePropertyName("modelExpirationDate"u8);
+            writer.WriteStringValue(ModelExpirationDate, "D");
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        TrainingConfigVersion IJsonModel<TrainingConfigVersion>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingConfigVersion>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingConfigVersion)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeTrainingConfigVersion(document.RootElement, options);
+        }
+
+        internal static TrainingConfigVersion DeserializeTrainingConfigVersion(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string trainingConfigVersion = default;
+            DateTimeOffset modelExpirationDate = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("trainingConfigVersion"u8))
+                {
+                    trainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("modelExpirationDate"u8))
+                {
+                    modelExpirationDate = property.Value.GetDateTimeOffset("D");
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new TrainingConfigVersion(trainingConfigVersion, modelExpirationDate, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<TrainingConfigVersion>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingConfigVersion>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(TrainingConfigVersion)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        TrainingConfigVersion IPersistableModel<TrainingConfigVersion>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingConfigVersion>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeTrainingConfigVersion(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(TrainingConfigVersion)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<TrainingConfigVersion>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static TrainingConfigVersion FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeTrainingConfigVersion(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingConfigVersion.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingConfigVersion.cs
new file mode 100644
index 000000000000..4eb97147c72a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingConfigVersion.cs
@@ -0,0 +1,81 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents a training config version. </summary>
+    public partial class TrainingConfigVersion
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="TrainingConfigVersion"/>. </summary>
+        /// <param name="trainingConfigVersionProperty"> Represents the version of the config. </param>
+        /// <param name="modelExpirationDate"> Represents the training config version expiration date. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="trainingConfigVersionProperty"/> is null. </exception>
+        internal TrainingConfigVersion(string trainingConfigVersionProperty, DateTimeOffset modelExpirationDate)
+        {
+            Argument.AssertNotNull(trainingConfigVersionProperty, nameof(trainingConfigVersionProperty));
+
+            TrainingConfigVersionProperty = trainingConfigVersionProperty;
+            ModelExpirationDate = modelExpirationDate;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingConfigVersion"/>. </summary>
+        /// <param name="trainingConfigVersionProperty"> Represents the version of the config. </param>
+        /// <param name="modelExpirationDate"> Represents the training config version expiration date. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal TrainingConfigVersion(string trainingConfigVersionProperty, DateTimeOffset modelExpirationDate, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            TrainingConfigVersionProperty = trainingConfigVersionProperty;
+            ModelExpirationDate = modelExpirationDate;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingConfigVersion"/> for deserialization. </summary>
+        internal TrainingConfigVersion()
+        {
+        }
+
+        /// <summary> Represents the version of the config. </summary>
+        public string TrainingConfigVersionProperty { get; }
+        /// <summary> Represents the training config version expiration date. </summary>
+        public DateTimeOffset ModelExpirationDate { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingConfigVersions.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingConfigVersions.Serialization.cs
new file mode 100644
index 000000000000..58e942068978
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingConfigVersions.Serialization.cs
@@ -0,0 +1,156 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class TrainingConfigVersions : IUtf8JsonSerializable, IJsonModel<TrainingConfigVersions>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<TrainingConfigVersions>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<TrainingConfigVersions>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingConfigVersions>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingConfigVersions)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("value"u8);
+            writer.WriteStartArray();
+            foreach (var item in Value)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            if (Optional.IsDefined(NextLink))
+            {
+                writer.WritePropertyName("nextLink"u8);
+                writer.WriteStringValue(NextLink);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        TrainingConfigVersions IJsonModel<TrainingConfigVersions>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingConfigVersions>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingConfigVersions)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeTrainingConfigVersions(document.RootElement, options);
+        }
+
+        internal static TrainingConfigVersions DeserializeTrainingConfigVersions(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IReadOnlyList<TrainingConfigVersion> value = default;
+            string nextLink = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("value"u8))
+                {
+                    List<TrainingConfigVersion> array = new List<TrainingConfigVersion>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(TrainingConfigVersion.DeserializeTrainingConfigVersion(item, options));
+                    }
+                    value = array;
+                    continue;
+                }
+                if (property.NameEquals("nextLink"u8))
+                {
+                    nextLink = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new TrainingConfigVersions(value, nextLink, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<TrainingConfigVersions>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingConfigVersions>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(TrainingConfigVersions)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        TrainingConfigVersions IPersistableModel<TrainingConfigVersions>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingConfigVersions>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeTrainingConfigVersions(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(TrainingConfigVersions)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<TrainingConfigVersions>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static TrainingConfigVersions FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeTrainingConfigVersions(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingConfigVersions.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingConfigVersions.cs
new file mode 100644
index 000000000000..e51e37a08d49
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingConfigVersions.cs
@@ -0,0 +1,80 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents a list of training config versions. </summary>
+    public partial class TrainingConfigVersions
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="TrainingConfigVersions"/>. </summary>
+        /// <param name="value"> The list of the training config versions. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        internal TrainingConfigVersions(IEnumerable<TrainingConfigVersion> value)
+        {
+            Argument.AssertNotNull(value, nameof(value));
+
+            Value = value.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingConfigVersions"/>. </summary>
+        /// <param name="value"> The list of the training config versions. </param>
+        /// <param name="nextLink"> The next page link. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal TrainingConfigVersions(IReadOnlyList<TrainingConfigVersion> value, string nextLink, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Value = value;
+            NextLink = nextLink;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingConfigVersions"/> for deserialization. </summary>
+        internal TrainingConfigVersions()
+        {
+        }
+
+        /// <summary> The list of the training config versions. </summary>
+        public IReadOnlyList<TrainingConfigVersion> Value { get; }
+        /// <summary> The next page link. </summary>
+        public string NextLink { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobConfig.Serialization.cs
new file mode 100644
index 000000000000..04781301b9a2
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobConfig.Serialization.cs
@@ -0,0 +1,169 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class TrainingJobConfig : IUtf8JsonSerializable, IJsonModel<TrainingJobConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<TrainingJobConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<TrainingJobConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingJobConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("modelLabel"u8);
+            writer.WriteStringValue(ModelLabel);
+            if (Optional.IsDefined(TrainingConfigVersion))
+            {
+                writer.WritePropertyName("trainingConfigVersion"u8);
+                writer.WriteStringValue(TrainingConfigVersion);
+            }
+            writer.WritePropertyName("trainingMode"u8);
+            writer.WriteStringValue(TrainingMode.ToString());
+            if (Optional.IsDefined(EvaluationOptions))
+            {
+                writer.WritePropertyName("evaluationOptions"u8);
+                writer.WriteObjectValue(EvaluationOptions, options);
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        TrainingJobConfig IJsonModel<TrainingJobConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingJobConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeTrainingJobConfig(document.RootElement, options);
+        }
+
+        internal static TrainingJobConfig DeserializeTrainingJobConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string modelLabel = default;
+            string trainingConfigVersion = default;
+            TrainingMode trainingMode = default;
+            EvaluationConfig evaluationOptions = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("modelLabel"u8))
+                {
+                    modelLabel = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("trainingConfigVersion"u8))
+                {
+                    trainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("trainingMode"u8))
+                {
+                    trainingMode = new TrainingMode(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("evaluationOptions"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    evaluationOptions = EvaluationConfig.DeserializeEvaluationConfig(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new TrainingJobConfig(modelLabel, trainingConfigVersion, trainingMode, evaluationOptions, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<TrainingJobConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(TrainingJobConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        TrainingJobConfig IPersistableModel<TrainingJobConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeTrainingJobConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(TrainingJobConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<TrainingJobConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static TrainingJobConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeTrainingJobConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobConfig.cs
new file mode 100644
index 000000000000..fb18500734ac
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobConfig.cs
@@ -0,0 +1,103 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the options for starting a new training job. </summary>
+    public partial class TrainingJobConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobConfig"/>. </summary>
+        /// <param name="modelLabel"> Represents the output model label. </param>
+        /// <param name="trainingMode"> Represents the mode of the training operation. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="modelLabel"/> is null. </exception>
+        public TrainingJobConfig(string modelLabel, TrainingMode trainingMode)
+        {
+            Argument.AssertNotNull(modelLabel, nameof(modelLabel));
+
+            ModelLabel = modelLabel;
+            TrainingMode = trainingMode;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobConfig"/>. </summary>
+        /// <param name="modelLabel"> Represents the output model label. </param>
+        /// <param name="trainingConfigVersion">
+        /// Represents training config version. By default, "latest" value is used which
+        /// uses the latest released training config version.
+        /// </param>
+        /// <param name="trainingMode"> Represents the mode of the training operation. </param>
+        /// <param name="evaluationOptions">
+        /// Represents the evaluation options. By default, the evaluation kind is
+        /// percentage, with training split percentage as 80, and testing split percentage
+        /// as 20.
+        /// </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal TrainingJobConfig(string modelLabel, string trainingConfigVersion, TrainingMode trainingMode, EvaluationConfig evaluationOptions, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ModelLabel = modelLabel;
+            TrainingConfigVersion = trainingConfigVersion;
+            TrainingMode = trainingMode;
+            EvaluationOptions = evaluationOptions;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobConfig"/> for deserialization. </summary>
+        internal TrainingJobConfig()
+        {
+        }
+
+        /// <summary> Represents the output model label. </summary>
+        public string ModelLabel { get; }
+        /// <summary>
+        /// Represents training config version. By default, "latest" value is used which
+        /// uses the latest released training config version.
+        /// </summary>
+        public string TrainingConfigVersion { get; set; }
+        /// <summary> Represents the mode of the training operation. </summary>
+        public TrainingMode TrainingMode { get; }
+        /// <summary>
+        /// Represents the evaluation options. By default, the evaluation kind is
+        /// percentage, with training split percentage as 80, and testing split percentage
+        /// as 20.
+        /// </summary>
+        public EvaluationConfig EvaluationOptions { get; set; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobResult.Serialization.cs
new file mode 100644
index 000000000000..20e981ba801b
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobResult.Serialization.cs
@@ -0,0 +1,203 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class TrainingJobResult : IUtf8JsonSerializable, IJsonModel<TrainingJobResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<TrainingJobResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<TrainingJobResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingJobResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("modelLabel"u8);
+            writer.WriteStringValue(ModelLabel);
+            writer.WritePropertyName("trainingConfigVersion"u8);
+            writer.WriteStringValue(TrainingConfigVersion);
+            if (Optional.IsDefined(TrainingMode))
+            {
+                writer.WritePropertyName("trainingMode"u8);
+                writer.WriteStringValue(TrainingMode.Value.ToString());
+            }
+            writer.WritePropertyName("trainingStatus"u8);
+            writer.WriteObjectValue(TrainingStatus, options);
+            if (Optional.IsDefined(EvaluationStatus))
+            {
+                writer.WritePropertyName("evaluationStatus"u8);
+                writer.WriteObjectValue(EvaluationStatus, options);
+            }
+            if (Optional.IsDefined(EstimatedEndDateTime))
+            {
+                writer.WritePropertyName("estimatedEndDateTime"u8);
+                writer.WriteStringValue(EstimatedEndDateTime.Value, "O");
+            }
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        TrainingJobResult IJsonModel<TrainingJobResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingJobResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeTrainingJobResult(document.RootElement, options);
+        }
+
+        internal static TrainingJobResult DeserializeTrainingJobResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string modelLabel = default;
+            string trainingConfigVersion = default;
+            TrainingMode? trainingMode = default;
+            SubTrainingJobState trainingStatus = default;
+            SubTrainingJobState evaluationStatus = default;
+            DateTimeOffset? estimatedEndDateTime = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("modelLabel"u8))
+                {
+                    modelLabel = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("trainingConfigVersion"u8))
+                {
+                    trainingConfigVersion = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("trainingMode"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    trainingMode = new TrainingMode(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("trainingStatus"u8))
+                {
+                    trainingStatus = SubTrainingJobState.DeserializeSubTrainingJobState(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("evaluationStatus"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    evaluationStatus = SubTrainingJobState.DeserializeSubTrainingJobState(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("estimatedEndDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    estimatedEndDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new TrainingJobResult(
+                modelLabel,
+                trainingConfigVersion,
+                trainingMode,
+                trainingStatus,
+                evaluationStatus,
+                estimatedEndDateTime,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<TrainingJobResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(TrainingJobResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        TrainingJobResult IPersistableModel<TrainingJobResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeTrainingJobResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(TrainingJobResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<TrainingJobResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static TrainingJobResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeTrainingJobResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobResult.cs
new file mode 100644
index 000000000000..09d35f71aa58
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobResult.cs
@@ -0,0 +1,101 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the output of a training job. </summary>
+    public partial class TrainingJobResult
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobResult"/>. </summary>
+        /// <param name="modelLabel"> Represents trained model label. </param>
+        /// <param name="trainingConfigVersion"> Represents training config version. </param>
+        /// <param name="trainingStatus"> Represents the model training status. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="modelLabel"/>, <paramref name="trainingConfigVersion"/> or <paramref name="trainingStatus"/> is null. </exception>
+        internal TrainingJobResult(string modelLabel, string trainingConfigVersion, SubTrainingJobState trainingStatus)
+        {
+            Argument.AssertNotNull(modelLabel, nameof(modelLabel));
+            Argument.AssertNotNull(trainingConfigVersion, nameof(trainingConfigVersion));
+            Argument.AssertNotNull(trainingStatus, nameof(trainingStatus));
+
+            ModelLabel = modelLabel;
+            TrainingConfigVersion = trainingConfigVersion;
+            TrainingStatus = trainingStatus;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobResult"/>. </summary>
+        /// <param name="modelLabel"> Represents trained model label. </param>
+        /// <param name="trainingConfigVersion"> Represents training config version. </param>
+        /// <param name="trainingMode"> Represents the mode of the training operation. </param>
+        /// <param name="trainingStatus"> Represents the model training status. </param>
+        /// <param name="evaluationStatus"> Represents model evaluation status. </param>
+        /// <param name="estimatedEndDateTime"> Represents the estimated end date time for training and evaluation. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal TrainingJobResult(string modelLabel, string trainingConfigVersion, TrainingMode? trainingMode, SubTrainingJobState trainingStatus, SubTrainingJobState evaluationStatus, DateTimeOffset? estimatedEndDateTime, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ModelLabel = modelLabel;
+            TrainingConfigVersion = trainingConfigVersion;
+            TrainingMode = trainingMode;
+            TrainingStatus = trainingStatus;
+            EvaluationStatus = evaluationStatus;
+            EstimatedEndDateTime = estimatedEndDateTime;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobResult"/> for deserialization. </summary>
+        internal TrainingJobResult()
+        {
+        }
+
+        /// <summary> Represents trained model label. </summary>
+        public string ModelLabel { get; }
+        /// <summary> Represents training config version. </summary>
+        public string TrainingConfigVersion { get; }
+        /// <summary> Represents the mode of the training operation. </summary>
+        public TrainingMode? TrainingMode { get; }
+        /// <summary> Represents the model training status. </summary>
+        public SubTrainingJobState TrainingStatus { get; }
+        /// <summary> Represents model evaluation status. </summary>
+        public SubTrainingJobState EvaluationStatus { get; }
+        /// <summary> Represents the estimated end date time for training and evaluation. </summary>
+        public DateTimeOffset? EstimatedEndDateTime { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobState.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobState.Serialization.cs
new file mode 100644
index 000000000000..614ef2763429
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobState.Serialization.cs
@@ -0,0 +1,241 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class TrainingJobState : IUtf8JsonSerializable, IJsonModel<TrainingJobState>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<TrainingJobState>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<TrainingJobState>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobState>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingJobState)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("jobId"u8);
+            writer.WriteStringValue(JobId);
+            writer.WritePropertyName("createdDateTime"u8);
+            writer.WriteStringValue(CreatedDateTime, "O");
+            writer.WritePropertyName("lastUpdatedDateTime"u8);
+            writer.WriteStringValue(LastUpdatedDateTime, "O");
+            if (Optional.IsDefined(ExpirationDateTime))
+            {
+                writer.WritePropertyName("expirationDateTime"u8);
+                writer.WriteStringValue(ExpirationDateTime.Value, "O");
+            }
+            writer.WritePropertyName("status"u8);
+            writer.WriteStringValue(Status.ToString());
+            if (Optional.IsCollectionDefined(Warnings))
+            {
+                writer.WritePropertyName("warnings"u8);
+                writer.WriteStartArray();
+                foreach (var item in Warnings)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            if (Optional.IsCollectionDefined(Errors))
+            {
+                writer.WritePropertyName("errors"u8);
+                writer.WriteStartArray();
+                foreach (var item in Errors)
+                {
+                    writer.WriteObjectValue(item, options);
+                }
+                writer.WriteEndArray();
+            }
+            writer.WritePropertyName("result"u8);
+            writer.WriteObjectValue(Result, options);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        TrainingJobState IJsonModel<TrainingJobState>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobState>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(TrainingJobState)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeTrainingJobState(document.RootElement, options);
+        }
+
+        internal static TrainingJobState DeserializeTrainingJobState(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string jobId = default;
+            DateTimeOffset createdDateTime = default;
+            DateTimeOffset lastUpdatedDateTime = default;
+            DateTimeOffset? expirationDateTime = default;
+            JobStatus status = default;
+            IReadOnlyList<AuthoringConversationsWarning> warnings = default;
+            IReadOnlyList<AuthoringConversationsError> errors = default;
+            TrainingJobResult result = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("jobId"u8))
+                {
+                    jobId = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("createdDateTime"u8))
+                {
+                    createdDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("lastUpdatedDateTime"u8))
+                {
+                    lastUpdatedDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("expirationDateTime"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    expirationDateTime = property.Value.GetDateTimeOffset("O");
+                    continue;
+                }
+                if (property.NameEquals("status"u8))
+                {
+                    status = new JobStatus(property.Value.GetString());
+                    continue;
+                }
+                if (property.NameEquals("warnings"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsWarning> array = new List<AuthoringConversationsWarning>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsWarning.DeserializeAuthoringConversationsWarning(item, options));
+                    }
+                    warnings = array;
+                    continue;
+                }
+                if (property.NameEquals("errors"u8))
+                {
+                    if (property.Value.ValueKind == JsonValueKind.Null)
+                    {
+                        continue;
+                    }
+                    List<AuthoringConversationsError> array = new List<AuthoringConversationsError>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(AuthoringConversationsError.DeserializeAuthoringConversationsError(item, options));
+                    }
+                    errors = array;
+                    continue;
+                }
+                if (property.NameEquals("result"u8))
+                {
+                    result = TrainingJobResult.DeserializeTrainingJobResult(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new TrainingJobState(
+                jobId,
+                createdDateTime,
+                lastUpdatedDateTime,
+                expirationDateTime,
+                status,
+                warnings ?? new ChangeTrackingList<AuthoringConversationsWarning>(),
+                errors ?? new ChangeTrackingList<AuthoringConversationsError>(),
+                result,
+                serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<TrainingJobState>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobState>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(TrainingJobState)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        TrainingJobState IPersistableModel<TrainingJobState>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<TrainingJobState>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeTrainingJobState(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(TrainingJobState)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<TrainingJobState>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static TrainingJobState FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeTrainingJobState(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobState.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobState.cs
new file mode 100644
index 000000000000..ec1865a5b143
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingJobState.cs
@@ -0,0 +1,114 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the state of a training job. </summary>
+    public partial class TrainingJobState
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobState"/>. </summary>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="result"> Represents training tasks detailed result. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="jobId"/> or <paramref name="result"/> is null. </exception>
+        internal TrainingJobState(string jobId, DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, JobStatus status, TrainingJobResult result)
+        {
+            Argument.AssertNotNull(jobId, nameof(jobId));
+            Argument.AssertNotNull(result, nameof(result));
+
+            JobId = jobId;
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            Status = status;
+            Warnings = new ChangeTrackingList<AuthoringConversationsWarning>();
+            Errors = new ChangeTrackingList<AuthoringConversationsError>();
+            Result = result;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobState"/>. </summary>
+        /// <param name="jobId"> The job ID. </param>
+        /// <param name="createdDateTime"> The creation date time of the job. </param>
+        /// <param name="lastUpdatedDateTime"> The last date time the job was updated. </param>
+        /// <param name="expirationDateTime"> The expiration date time of the job. </param>
+        /// <param name="status"> The job status. </param>
+        /// <param name="warnings"> The warnings that were encountered while executing the job. </param>
+        /// <param name="errors"> The errors encountered while executing the job. </param>
+        /// <param name="result"> Represents training tasks detailed result. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal TrainingJobState(string jobId, DateTimeOffset createdDateTime, DateTimeOffset lastUpdatedDateTime, DateTimeOffset? expirationDateTime, JobStatus status, IReadOnlyList<AuthoringConversationsWarning> warnings, IReadOnlyList<AuthoringConversationsError> errors, TrainingJobResult result, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            JobId = jobId;
+            CreatedDateTime = createdDateTime;
+            LastUpdatedDateTime = lastUpdatedDateTime;
+            ExpirationDateTime = expirationDateTime;
+            Status = status;
+            Warnings = warnings;
+            Errors = errors;
+            Result = result;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="TrainingJobState"/> for deserialization. </summary>
+        internal TrainingJobState()
+        {
+        }
+
+        /// <summary> The job ID. </summary>
+        public string JobId { get; }
+        /// <summary> The creation date time of the job. </summary>
+        public DateTimeOffset CreatedDateTime { get; }
+        /// <summary> The last date time the job was updated. </summary>
+        public DateTimeOffset LastUpdatedDateTime { get; }
+        /// <summary> The expiration date time of the job. </summary>
+        public DateTimeOffset? ExpirationDateTime { get; }
+        /// <summary> The job status. </summary>
+        public JobStatus Status { get; }
+        /// <summary> The warnings that were encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsWarning> Warnings { get; }
+        /// <summary> The errors encountered while executing the job. </summary>
+        public IReadOnlyList<AuthoringConversationsError> Errors { get; }
+        /// <summary> Represents training tasks detailed result. </summary>
+        public TrainingJobResult Result { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingMode.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingMode.cs
new file mode 100644
index 000000000000..e34f624b9130
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/TrainingMode.cs
@@ -0,0 +1,54 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ComponentModel;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> The TrainingMode. </summary>
+    public readonly partial struct TrainingMode : IEquatable<TrainingMode>
+    {
+        private readonly string _value;
+
+        /// <summary> Initializes a new instance of <see cref="TrainingMode"/>. </summary>
+        /// <exception cref="ArgumentNullException"> <paramref name="value"/> is null. </exception>
+        public TrainingMode(string value)
+        {
+            _value = value ?? throw new ArgumentNullException(nameof(value));
+        }
+
+        private const string AdvancedValue = "advanced";
+        private const string StandardValue = "standard";
+
+        /// <summary>
+        /// Trains using fine-tuned neural network transformer models. Can train
+        /// multilingual projects.
+        /// </summary>
+        public static TrainingMode Advanced { get; } = new TrainingMode(AdvancedValue);
+        /// <summary> Faster training times for quicker iterations. </summary>
+        public static TrainingMode Standard { get; } = new TrainingMode(StandardValue);
+        /// <summary> Determines if two <see cref="TrainingMode"/> values are the same. </summary>
+        public static bool operator ==(TrainingMode left, TrainingMode right) => left.Equals(right);
+        /// <summary> Determines if two <see cref="TrainingMode"/> values are not the same. </summary>
+        public static bool operator !=(TrainingMode left, TrainingMode right) => !left.Equals(right);
+        /// <summary> Converts a <see cref="string"/> to a <see cref="TrainingMode"/>. </summary>
+        public static implicit operator TrainingMode(string value) => new TrainingMode(value);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override bool Equals(object obj) => obj is TrainingMode other && Equals(other);
+        /// <inheritdoc />
+        public bool Equals(TrainingMode other) => string.Equals(_value, other._value, StringComparison.InvariantCultureIgnoreCase);
+
+        /// <inheritdoc />
+        [EditorBrowsable(EditorBrowsableState.Never)]
+        public override int GetHashCode() => _value != null ? StringComparer.InvariantCultureIgnoreCase.GetHashCode(_value) : 0;
+        /// <inheritdoc />
+        public override string ToString() => _value;
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnassignDeploymentResourcesConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnassignDeploymentResourcesConfig.Serialization.cs
new file mode 100644
index 000000000000..efde7405d4e4
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnassignDeploymentResourcesConfig.Serialization.cs
@@ -0,0 +1,145 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class UnassignDeploymentResourcesConfig : IUtf8JsonSerializable, IJsonModel<UnassignDeploymentResourcesConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<UnassignDeploymentResourcesConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<UnassignDeploymentResourcesConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UnassignDeploymentResourcesConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(UnassignDeploymentResourcesConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("assignedResourceIds"u8);
+            writer.WriteStartArray();
+            foreach (var item in AssignedResourceIds)
+            {
+                writer.WriteStringValue(item);
+            }
+            writer.WriteEndArray();
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        UnassignDeploymentResourcesConfig IJsonModel<UnassignDeploymentResourcesConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UnassignDeploymentResourcesConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(UnassignDeploymentResourcesConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeUnassignDeploymentResourcesConfig(document.RootElement, options);
+        }
+
+        internal static UnassignDeploymentResourcesConfig DeserializeUnassignDeploymentResourcesConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IList<string> assignedResourceIds = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("assignedResourceIds"u8))
+                {
+                    List<string> array = new List<string>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(item.GetString());
+                    }
+                    assignedResourceIds = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new UnassignDeploymentResourcesConfig(assignedResourceIds, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<UnassignDeploymentResourcesConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UnassignDeploymentResourcesConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(UnassignDeploymentResourcesConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        UnassignDeploymentResourcesConfig IPersistableModel<UnassignDeploymentResourcesConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UnassignDeploymentResourcesConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeUnassignDeploymentResourcesConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(UnassignDeploymentResourcesConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<UnassignDeploymentResourcesConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static UnassignDeploymentResourcesConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeUnassignDeploymentResourcesConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnassignDeploymentResourcesConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnassignDeploymentResourcesConfig.cs
new file mode 100644
index 000000000000..393d51445409
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnassignDeploymentResourcesConfig.cs
@@ -0,0 +1,76 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the options to unassign Azure resources from a project. </summary>
+    public partial class UnassignDeploymentResourcesConfig
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="UnassignDeploymentResourcesConfig"/>. </summary>
+        /// <param name="assignedResourceIds"> Represents the assigned resource IDs to be unassigned. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="assignedResourceIds"/> is null. </exception>
+        public UnassignDeploymentResourcesConfig(IEnumerable<string> assignedResourceIds)
+        {
+            Argument.AssertNotNull(assignedResourceIds, nameof(assignedResourceIds));
+
+            AssignedResourceIds = assignedResourceIds.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="UnassignDeploymentResourcesConfig"/>. </summary>
+        /// <param name="assignedResourceIds"> Represents the assigned resource IDs to be unassigned. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal UnassignDeploymentResourcesConfig(IList<string> assignedResourceIds, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            AssignedResourceIds = assignedResourceIds;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="UnassignDeploymentResourcesConfig"/> for deserialization. </summary>
+        internal UnassignDeploymentResourcesConfig()
+        {
+        }
+
+        /// <summary> Represents the assigned resource IDs to be unassigned. </summary>
+        public IList<string> AssignedResourceIds { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnknownExportedOrchestrationConfig.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnknownExportedOrchestrationConfig.Serialization.cs
new file mode 100644
index 000000000000..08cf5f058372
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnknownExportedOrchestrationConfig.Serialization.cs
@@ -0,0 +1,135 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    internal partial class UnknownExportedOrchestrationConfig : IUtf8JsonSerializable, IJsonModel<ExportedOrchestrationConfig>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedOrchestrationConfig>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedOrchestrationConfig>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedOrchestrationConfig)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("targetProjectKind"u8);
+            writer.WriteStringValue(TargetProjectKind.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedOrchestrationConfig IJsonModel<ExportedOrchestrationConfig>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedOrchestrationConfig)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedOrchestrationConfig(document.RootElement, options);
+        }
+
+        internal static UnknownExportedOrchestrationConfig DeserializeUnknownExportedOrchestrationConfig(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            OrchestrationTargetProjectKind targetProjectKind = "Unknown";
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("targetProjectKind"u8))
+                {
+                    targetProjectKind = new OrchestrationTargetProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new UnknownExportedOrchestrationConfig(targetProjectKind, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedOrchestrationConfig>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedOrchestrationConfig)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedOrchestrationConfig IPersistableModel<ExportedOrchestrationConfig>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedOrchestrationConfig>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedOrchestrationConfig(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedOrchestrationConfig)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedOrchestrationConfig>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new UnknownExportedOrchestrationConfig FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeUnknownExportedOrchestrationConfig(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue<ExportedOrchestrationConfig>(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnknownExportedOrchestrationConfig.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnknownExportedOrchestrationConfig.cs
new file mode 100644
index 000000000000..4d1e66a24ade
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnknownExportedOrchestrationConfig.cs
@@ -0,0 +1,28 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Unknown version of ExportedOrchestrationConfig. </summary>
+    internal partial class UnknownExportedOrchestrationConfig : ExportedOrchestrationConfig
+    {
+        /// <summary> Initializes a new instance of <see cref="UnknownExportedOrchestrationConfig"/>. </summary>
+        /// <param name="targetProjectKind"></param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal UnknownExportedOrchestrationConfig(OrchestrationTargetProjectKind targetProjectKind, IDictionary<string, BinaryData> serializedAdditionalRawData) : base(targetProjectKind, serializedAdditionalRawData)
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="UnknownExportedOrchestrationConfig"/> for deserialization. </summary>
+        internal UnknownExportedOrchestrationConfig()
+        {
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnknownExportedProjectAssets.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnknownExportedProjectAssets.Serialization.cs
new file mode 100644
index 000000000000..6c75a2c9f26a
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnknownExportedProjectAssets.Serialization.cs
@@ -0,0 +1,135 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    internal partial class UnknownExportedProjectAssets : IUtf8JsonSerializable, IJsonModel<ExportedProjectAssets>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<ExportedProjectAssets>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<ExportedProjectAssets>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedProjectAssets)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("projectKind"u8);
+            writer.WriteStringValue(ProjectKind.ToString());
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        ExportedProjectAssets IJsonModel<ExportedProjectAssets>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(ExportedProjectAssets)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeExportedProjectAssets(document.RootElement, options);
+        }
+
+        internal static UnknownExportedProjectAssets DeserializeUnknownExportedProjectAssets(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            ProjectKind projectKind = "Unknown";
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("projectKind"u8))
+                {
+                    projectKind = new ProjectKind(property.Value.GetString());
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new UnknownExportedProjectAssets(projectKind, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<ExportedProjectAssets>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(ExportedProjectAssets)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        ExportedProjectAssets IPersistableModel<ExportedProjectAssets>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<ExportedProjectAssets>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeExportedProjectAssets(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(ExportedProjectAssets)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<ExportedProjectAssets>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static new UnknownExportedProjectAssets FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeUnknownExportedProjectAssets(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal override RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue<ExportedProjectAssets>(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnknownExportedProjectAssets.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnknownExportedProjectAssets.cs
new file mode 100644
index 000000000000..ee565b1aa3f6
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UnknownExportedProjectAssets.cs
@@ -0,0 +1,28 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Unknown version of ExportedProjectAssets. </summary>
+    internal partial class UnknownExportedProjectAssets : ExportedProjectAssets
+    {
+        /// <summary> Initializes a new instance of <see cref="UnknownExportedProjectAssets"/>. </summary>
+        /// <param name="projectKind"> The type of project containing the assets. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal UnknownExportedProjectAssets(ProjectKind projectKind, IDictionary<string, BinaryData> serializedAdditionalRawData) : base(projectKind, serializedAdditionalRawData)
+        {
+        }
+
+        /// <summary> Initializes a new instance of <see cref="UnknownExportedProjectAssets"/> for deserialization. </summary>
+        internal UnknownExportedProjectAssets()
+        {
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEntitiesEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEntitiesEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..6e150d824cb6
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEntitiesEvaluationResult.Serialization.cs
@@ -0,0 +1,163 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class UtteranceEntitiesEvaluationResult : IUtf8JsonSerializable, IJsonModel<UtteranceEntitiesEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<UtteranceEntitiesEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<UtteranceEntitiesEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UtteranceEntitiesEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(UtteranceEntitiesEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("expectedEntities"u8);
+            writer.WriteStartArray();
+            foreach (var item in ExpectedEntities)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            writer.WritePropertyName("predictedEntities"u8);
+            writer.WriteStartArray();
+            foreach (var item in PredictedEntities)
+            {
+                writer.WriteObjectValue(item, options);
+            }
+            writer.WriteEndArray();
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        UtteranceEntitiesEvaluationResult IJsonModel<UtteranceEntitiesEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UtteranceEntitiesEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(UtteranceEntitiesEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeUtteranceEntitiesEvaluationResult(document.RootElement, options);
+        }
+
+        internal static UtteranceEntitiesEvaluationResult DeserializeUtteranceEntitiesEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            IReadOnlyList<UtteranceEntityEvaluationResult> expectedEntities = default;
+            IReadOnlyList<UtteranceEntityEvaluationResult> predictedEntities = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("expectedEntities"u8))
+                {
+                    List<UtteranceEntityEvaluationResult> array = new List<UtteranceEntityEvaluationResult>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(UtteranceEntityEvaluationResult.DeserializeUtteranceEntityEvaluationResult(item, options));
+                    }
+                    expectedEntities = array;
+                    continue;
+                }
+                if (property.NameEquals("predictedEntities"u8))
+                {
+                    List<UtteranceEntityEvaluationResult> array = new List<UtteranceEntityEvaluationResult>();
+                    foreach (var item in property.Value.EnumerateArray())
+                    {
+                        array.Add(UtteranceEntityEvaluationResult.DeserializeUtteranceEntityEvaluationResult(item, options));
+                    }
+                    predictedEntities = array;
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new UtteranceEntitiesEvaluationResult(expectedEntities, predictedEntities, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<UtteranceEntitiesEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UtteranceEntitiesEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(UtteranceEntitiesEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        UtteranceEntitiesEvaluationResult IPersistableModel<UtteranceEntitiesEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UtteranceEntitiesEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeUtteranceEntitiesEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(UtteranceEntitiesEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<UtteranceEntitiesEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static UtteranceEntitiesEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeUtteranceEntitiesEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEntitiesEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEntitiesEvaluationResult.cs
new file mode 100644
index 000000000000..f9d2544b918c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEntitiesEvaluationResult.cs
@@ -0,0 +1,86 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary>
+    /// Represents the comparison between the expected and predicted entities for an
+    /// utterance.
+    /// </summary>
+    public partial class UtteranceEntitiesEvaluationResult
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="UtteranceEntitiesEvaluationResult"/>. </summary>
+        /// <param name="expectedEntities"> Represents the expected entity labels. </param>
+        /// <param name="predictedEntities"> Represents the predicted entity labels. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="expectedEntities"/> or <paramref name="predictedEntities"/> is null. </exception>
+        internal UtteranceEntitiesEvaluationResult(IEnumerable<UtteranceEntityEvaluationResult> expectedEntities, IEnumerable<UtteranceEntityEvaluationResult> predictedEntities)
+        {
+            Argument.AssertNotNull(expectedEntities, nameof(expectedEntities));
+            Argument.AssertNotNull(predictedEntities, nameof(predictedEntities));
+
+            ExpectedEntities = expectedEntities.ToList();
+            PredictedEntities = predictedEntities.ToList();
+        }
+
+        /// <summary> Initializes a new instance of <see cref="UtteranceEntitiesEvaluationResult"/>. </summary>
+        /// <param name="expectedEntities"> Represents the expected entity labels. </param>
+        /// <param name="predictedEntities"> Represents the predicted entity labels. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal UtteranceEntitiesEvaluationResult(IReadOnlyList<UtteranceEntityEvaluationResult> expectedEntities, IReadOnlyList<UtteranceEntityEvaluationResult> predictedEntities, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ExpectedEntities = expectedEntities;
+            PredictedEntities = predictedEntities;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="UtteranceEntitiesEvaluationResult"/> for deserialization. </summary>
+        internal UtteranceEntitiesEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the expected entity labels. </summary>
+        public IReadOnlyList<UtteranceEntityEvaluationResult> ExpectedEntities { get; }
+        /// <summary> Represents the predicted entity labels. </summary>
+        public IReadOnlyList<UtteranceEntityEvaluationResult> PredictedEntities { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEntityEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEntityEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..8c2515d02cd0
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEntityEvaluationResult.Serialization.cs
@@ -0,0 +1,151 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class UtteranceEntityEvaluationResult : IUtf8JsonSerializable, IJsonModel<UtteranceEntityEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<UtteranceEntityEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<UtteranceEntityEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UtteranceEntityEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(UtteranceEntityEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("category"u8);
+            writer.WriteStringValue(Category);
+            writer.WritePropertyName("offset"u8);
+            writer.WriteNumberValue(Offset);
+            writer.WritePropertyName("length"u8);
+            writer.WriteNumberValue(Length);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        UtteranceEntityEvaluationResult IJsonModel<UtteranceEntityEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UtteranceEntityEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(UtteranceEntityEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeUtteranceEntityEvaluationResult(document.RootElement, options);
+        }
+
+        internal static UtteranceEntityEvaluationResult DeserializeUtteranceEntityEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string category = default;
+            int offset = default;
+            int length = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("category"u8))
+                {
+                    category = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("offset"u8))
+                {
+                    offset = property.Value.GetInt32();
+                    continue;
+                }
+                if (property.NameEquals("length"u8))
+                {
+                    length = property.Value.GetInt32();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new UtteranceEntityEvaluationResult(category, offset, length, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<UtteranceEntityEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UtteranceEntityEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(UtteranceEntityEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        UtteranceEntityEvaluationResult IPersistableModel<UtteranceEntityEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UtteranceEntityEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeUtteranceEntityEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(UtteranceEntityEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<UtteranceEntityEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static UtteranceEntityEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeUtteranceEntityEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEntityEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEntityEvaluationResult.cs
new file mode 100644
index 000000000000..f4a9ba651877
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEntityEvaluationResult.cs
@@ -0,0 +1,87 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the evaluation output of an entity label or prediction. </summary>
+    public partial class UtteranceEntityEvaluationResult
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="UtteranceEntityEvaluationResult"/>. </summary>
+        /// <param name="category"> Represents the entity category. </param>
+        /// <param name="offset"> Represents the entity offset index relative to the original text. </param>
+        /// <param name="length"> Represents the entity length. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="category"/> is null. </exception>
+        internal UtteranceEntityEvaluationResult(string category, int offset, int length)
+        {
+            Argument.AssertNotNull(category, nameof(category));
+
+            Category = category;
+            Offset = offset;
+            Length = length;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="UtteranceEntityEvaluationResult"/>. </summary>
+        /// <param name="category"> Represents the entity category. </param>
+        /// <param name="offset"> Represents the entity offset index relative to the original text. </param>
+        /// <param name="length"> Represents the entity length. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal UtteranceEntityEvaluationResult(string category, int offset, int length, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Category = category;
+            Offset = offset;
+            Length = length;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="UtteranceEntityEvaluationResult"/> for deserialization. </summary>
+        internal UtteranceEntityEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the entity category. </summary>
+        public string Category { get; }
+        /// <summary> Represents the entity offset index relative to the original text. </summary>
+        public int Offset { get; }
+        /// <summary> Represents the entity length. </summary>
+        public int Length { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..a99feb6f9960
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEvaluationResult.Serialization.cs
@@ -0,0 +1,159 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class UtteranceEvaluationResult : IUtf8JsonSerializable, IJsonModel<UtteranceEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<UtteranceEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<UtteranceEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UtteranceEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(UtteranceEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("text"u8);
+            writer.WriteStringValue(Text);
+            writer.WritePropertyName("language"u8);
+            writer.WriteStringValue(Language);
+            writer.WritePropertyName("entitiesResult"u8);
+            writer.WriteObjectValue(EntitiesResult, options);
+            writer.WritePropertyName("intentsResult"u8);
+            writer.WriteObjectValue(IntentsResult, options);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        UtteranceEvaluationResult IJsonModel<UtteranceEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UtteranceEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(UtteranceEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeUtteranceEvaluationResult(document.RootElement, options);
+        }
+
+        internal static UtteranceEvaluationResult DeserializeUtteranceEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string text = default;
+            string language = default;
+            UtteranceEntitiesEvaluationResult entitiesResult = default;
+            UtteranceIntentsEvaluationResult intentsResult = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("text"u8))
+                {
+                    text = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("language"u8))
+                {
+                    language = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("entitiesResult"u8))
+                {
+                    entitiesResult = UtteranceEntitiesEvaluationResult.DeserializeUtteranceEntitiesEvaluationResult(property.Value, options);
+                    continue;
+                }
+                if (property.NameEquals("intentsResult"u8))
+                {
+                    intentsResult = UtteranceIntentsEvaluationResult.DeserializeUtteranceIntentsEvaluationResult(property.Value, options);
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new UtteranceEvaluationResult(text, language, entitiesResult, intentsResult, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<UtteranceEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UtteranceEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(UtteranceEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        UtteranceEvaluationResult IPersistableModel<UtteranceEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UtteranceEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeUtteranceEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(UtteranceEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<UtteranceEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static UtteranceEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeUtteranceEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEvaluationResult.cs
new file mode 100644
index 000000000000..3bdab032bb77
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceEvaluationResult.cs
@@ -0,0 +1,108 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary> Represents the evaluation result for an utterance. </summary>
+    public partial class UtteranceEvaluationResult
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="UtteranceEvaluationResult"/>. </summary>
+        /// <param name="text"> Represents the utterance text. </param>
+        /// <param name="language">
+        /// Represents the utterance language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="entitiesResult"> Represents the entities results for the utterance. </param>
+        /// <param name="intentsResult"> Represents the intents results for the utterance. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="text"/>, <paramref name="language"/>, <paramref name="entitiesResult"/> or <paramref name="intentsResult"/> is null. </exception>
+        internal UtteranceEvaluationResult(string text, string language, UtteranceEntitiesEvaluationResult entitiesResult, UtteranceIntentsEvaluationResult intentsResult)
+        {
+            Argument.AssertNotNull(text, nameof(text));
+            Argument.AssertNotNull(language, nameof(language));
+            Argument.AssertNotNull(entitiesResult, nameof(entitiesResult));
+            Argument.AssertNotNull(intentsResult, nameof(intentsResult));
+
+            Text = text;
+            Language = language;
+            EntitiesResult = entitiesResult;
+            IntentsResult = intentsResult;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="UtteranceEvaluationResult"/>. </summary>
+        /// <param name="text"> Represents the utterance text. </param>
+        /// <param name="language">
+        /// Represents the utterance language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </param>
+        /// <param name="entitiesResult"> Represents the entities results for the utterance. </param>
+        /// <param name="intentsResult"> Represents the intents results for the utterance. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal UtteranceEvaluationResult(string text, string language, UtteranceEntitiesEvaluationResult entitiesResult, UtteranceIntentsEvaluationResult intentsResult, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            Text = text;
+            Language = language;
+            EntitiesResult = entitiesResult;
+            IntentsResult = intentsResult;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="UtteranceEvaluationResult"/> for deserialization. </summary>
+        internal UtteranceEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the utterance text. </summary>
+        public string Text { get; }
+        /// <summary>
+        /// Represents the utterance language. This is BCP-47 representation of a language.
+        /// For example, use "en" for English, "en-gb" for English (UK), "es" for Spanish
+        /// etc.
+        /// </summary>
+        public string Language { get; }
+        /// <summary> Represents the entities results for the utterance. </summary>
+        public UtteranceEntitiesEvaluationResult EntitiesResult { get; }
+        /// <summary> Represents the intents results for the utterance. </summary>
+        public UtteranceIntentsEvaluationResult IntentsResult { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceIntentsEvaluationResult.Serialization.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceIntentsEvaluationResult.Serialization.cs
new file mode 100644
index 000000000000..f68ff4d78664
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceIntentsEvaluationResult.Serialization.cs
@@ -0,0 +1,143 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.ClientModel.Primitives;
+using System.Collections.Generic;
+using System.Text.Json;
+using Azure.Core;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    public partial class UtteranceIntentsEvaluationResult : IUtf8JsonSerializable, IJsonModel<UtteranceIntentsEvaluationResult>
+    {
+        void IUtf8JsonSerializable.Write(Utf8JsonWriter writer) => ((IJsonModel<UtteranceIntentsEvaluationResult>)this).Write(writer, ModelSerializationExtensions.WireOptions);
+
+        void IJsonModel<UtteranceIntentsEvaluationResult>.Write(Utf8JsonWriter writer, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UtteranceIntentsEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(UtteranceIntentsEvaluationResult)} does not support writing '{format}' format.");
+            }
+
+            writer.WriteStartObject();
+            writer.WritePropertyName("expectedIntent"u8);
+            writer.WriteStringValue(ExpectedIntent);
+            writer.WritePropertyName("predictedIntent"u8);
+            writer.WriteStringValue(PredictedIntent);
+            if (options.Format != "W" && _serializedAdditionalRawData != null)
+            {
+                foreach (var item in _serializedAdditionalRawData)
+                {
+                    writer.WritePropertyName(item.Key);
+#if NET6_0_OR_GREATER
+				writer.WriteRawValue(item.Value);
+#else
+                    using (JsonDocument document = JsonDocument.Parse(item.Value))
+                    {
+                        JsonSerializer.Serialize(writer, document.RootElement);
+                    }
+#endif
+                }
+            }
+            writer.WriteEndObject();
+        }
+
+        UtteranceIntentsEvaluationResult IJsonModel<UtteranceIntentsEvaluationResult>.Create(ref Utf8JsonReader reader, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UtteranceIntentsEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+            if (format != "J")
+            {
+                throw new FormatException($"The model {nameof(UtteranceIntentsEvaluationResult)} does not support reading '{format}' format.");
+            }
+
+            using JsonDocument document = JsonDocument.ParseValue(ref reader);
+            return DeserializeUtteranceIntentsEvaluationResult(document.RootElement, options);
+        }
+
+        internal static UtteranceIntentsEvaluationResult DeserializeUtteranceIntentsEvaluationResult(JsonElement element, ModelReaderWriterOptions options = null)
+        {
+            options ??= ModelSerializationExtensions.WireOptions;
+
+            if (element.ValueKind == JsonValueKind.Null)
+            {
+                return null;
+            }
+            string expectedIntent = default;
+            string predictedIntent = default;
+            IDictionary<string, BinaryData> serializedAdditionalRawData = default;
+            Dictionary<string, BinaryData> rawDataDictionary = new Dictionary<string, BinaryData>();
+            foreach (var property in element.EnumerateObject())
+            {
+                if (property.NameEquals("expectedIntent"u8))
+                {
+                    expectedIntent = property.Value.GetString();
+                    continue;
+                }
+                if (property.NameEquals("predictedIntent"u8))
+                {
+                    predictedIntent = property.Value.GetString();
+                    continue;
+                }
+                if (options.Format != "W")
+                {
+                    rawDataDictionary.Add(property.Name, BinaryData.FromString(property.Value.GetRawText()));
+                }
+            }
+            serializedAdditionalRawData = rawDataDictionary;
+            return new UtteranceIntentsEvaluationResult(expectedIntent, predictedIntent, serializedAdditionalRawData);
+        }
+
+        BinaryData IPersistableModel<UtteranceIntentsEvaluationResult>.Write(ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UtteranceIntentsEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    return ModelReaderWriter.Write(this, options);
+                default:
+                    throw new FormatException($"The model {nameof(UtteranceIntentsEvaluationResult)} does not support writing '{options.Format}' format.");
+            }
+        }
+
+        UtteranceIntentsEvaluationResult IPersistableModel<UtteranceIntentsEvaluationResult>.Create(BinaryData data, ModelReaderWriterOptions options)
+        {
+            var format = options.Format == "W" ? ((IPersistableModel<UtteranceIntentsEvaluationResult>)this).GetFormatFromOptions(options) : options.Format;
+
+            switch (format)
+            {
+                case "J":
+                    {
+                        using JsonDocument document = JsonDocument.Parse(data);
+                        return DeserializeUtteranceIntentsEvaluationResult(document.RootElement, options);
+                    }
+                default:
+                    throw new FormatException($"The model {nameof(UtteranceIntentsEvaluationResult)} does not support reading '{options.Format}' format.");
+            }
+        }
+
+        string IPersistableModel<UtteranceIntentsEvaluationResult>.GetFormatFromOptions(ModelReaderWriterOptions options) => "J";
+
+        /// <summary> Deserializes the model from a raw response. </summary>
+        /// <param name="response"> The response to deserialize the model from. </param>
+        internal static UtteranceIntentsEvaluationResult FromResponse(Response response)
+        {
+            using var document = JsonDocument.Parse(response.Content);
+            return DeserializeUtteranceIntentsEvaluationResult(document.RootElement);
+        }
+
+        /// <summary> Convert into a <see cref="RequestContent"/>. </summary>
+        internal virtual RequestContent ToRequestContent()
+        {
+            var content = new Utf8JsonRequestContent();
+            content.JsonWriter.WriteObjectValue(this, ModelSerializationExtensions.WireOptions);
+            return content;
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceIntentsEvaluationResult.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceIntentsEvaluationResult.cs
new file mode 100644
index 000000000000..b2c012e0370c
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Generated/Models/UtteranceIntentsEvaluationResult.cs
@@ -0,0 +1,85 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Collections.Generic;
+
+namespace Azure.AI.Language.Authoring.Conversations.Models
+{
+    /// <summary>
+    /// Represents the comparison between the expected and the predicted intent for an
+    /// utterance.
+    /// </summary>
+    public partial class UtteranceIntentsEvaluationResult
+    {
+        /// <summary>
+        /// Keeps track of any properties unknown to the library.
+        /// <para>
+        /// To assign an object to the value of this property use <see cref="BinaryData.FromObjectAsJson{T}(T, System.Text.Json.JsonSerializerOptions?)"/>.
+        /// </para>
+        /// <para>
+        /// To assign an already formatted json string to this property use <see cref="BinaryData.FromString(string)"/>.
+        /// </para>
+        /// <para>
+        /// Examples:
+        /// <list type="bullet">
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson("foo")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("\"foo\"")</term>
+        /// <description>Creates a payload of "foo".</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromObjectAsJson(new { key = "value" })</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// <item>
+        /// <term>BinaryData.FromString("{\"key\": \"value\"}")</term>
+        /// <description>Creates a payload of { "key": "value" }.</description>
+        /// </item>
+        /// </list>
+        /// </para>
+        /// </summary>
+        private IDictionary<string, BinaryData> _serializedAdditionalRawData;
+
+        /// <summary> Initializes a new instance of <see cref="UtteranceIntentsEvaluationResult"/>. </summary>
+        /// <param name="expectedIntent"> Represents the utterance's expected intent. </param>
+        /// <param name="predictedIntent"> Represents the utterance's predicted intent. </param>
+        /// <exception cref="ArgumentNullException"> <paramref name="expectedIntent"/> or <paramref name="predictedIntent"/> is null. </exception>
+        internal UtteranceIntentsEvaluationResult(string expectedIntent, string predictedIntent)
+        {
+            Argument.AssertNotNull(expectedIntent, nameof(expectedIntent));
+            Argument.AssertNotNull(predictedIntent, nameof(predictedIntent));
+
+            ExpectedIntent = expectedIntent;
+            PredictedIntent = predictedIntent;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="UtteranceIntentsEvaluationResult"/>. </summary>
+        /// <param name="expectedIntent"> Represents the utterance's expected intent. </param>
+        /// <param name="predictedIntent"> Represents the utterance's predicted intent. </param>
+        /// <param name="serializedAdditionalRawData"> Keeps track of any properties unknown to the library. </param>
+        internal UtteranceIntentsEvaluationResult(string expectedIntent, string predictedIntent, IDictionary<string, BinaryData> serializedAdditionalRawData)
+        {
+            ExpectedIntent = expectedIntent;
+            PredictedIntent = predictedIntent;
+            _serializedAdditionalRawData = serializedAdditionalRawData;
+        }
+
+        /// <summary> Initializes a new instance of <see cref="UtteranceIntentsEvaluationResult"/> for deserialization. </summary>
+        internal UtteranceIntentsEvaluationResult()
+        {
+        }
+
+        /// <summary> Represents the utterance's expected intent. </summary>
+        public string ExpectedIntent { get; }
+        /// <summary> Represents the utterance's predicted intent. </summary>
+        public string PredictedIntent { get; }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Properties/AssemblyInfo.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Properties/AssemblyInfo.cs
new file mode 100644
index 000000000000..71306c5583ab
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/src/Properties/AssemblyInfo.cs
@@ -0,0 +1,11 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+using System.Runtime.CompilerServices;
+
+[assembly: InternalsVisibleTo("Azure.AI.Language.Authoring.Conversations.Tests, PublicKey = 0024000004800000940000000602000000240000525341310004000001000100d15ddcb29688295338af4b7686603fe614abd555e09efba8fb88ee09e1f7b1ccaeed2e8f823fa9eef3fdd60217fc012ea67d2479751a0b8c087a4185541b851bd8b16f8d91b840e51b1cb0ba6fe647997e57429265e85ef62d565db50a69ae1647d54d7bd855e4db3d8a91510e5bcbd0edfbbecaa20a7bd9ae74593daa7b11b4")]
+
+// Replace Microsoft.Test with the correct resource provider namepace for your service and uncomment.
+// See https://docs.microsoft.com/en-us/azure/azure-resource-manager/management/azure-services-resource-providers
+// for the list of possible values.
+[assembly: Azure.Core.AzureResourceProviderNamespace("Microsoft.Template")]
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/tests/Azure.AI.Language.Authoring.Conversations.Tests.csproj b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/tests/Azure.AI.Language.Authoring.Conversations.Tests.csproj
new file mode 100644
index 000000000000..d1bd1bb3a1ce
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/tests/Azure.AI.Language.Authoring.Conversations.Tests.csproj
@@ -0,0 +1,20 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>$(RequiredTargetFrameworks)</TargetFrameworks>
+    <!--We don't care about XML doc comments on test types and members-->
+    <NoWarn>$(NoWarn);CS1591</NoWarn>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="$(AzureCoreTestFramework)" />
+    <ProjectReference Include="..\src\Azure.AI.Language.Authoring.Conversations.csproj" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="NUnit" />
+    <PackageReference Include="NUnit3TestAdapter" />
+    <PackageReference Include="Microsoft.NET.Test.Sdk" />
+    <PackageReference Include="Moq" />
+  </ItemGroup>
+</Project>
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/tests/Generated/Samples/Samples_ConversationalAnalysisAuthoring.cs b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/tests/Generated/Samples/Samples_ConversationalAnalysisAuthoring.cs
new file mode 100644
index 000000000000..47d3fdfbb258
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/tests/Generated/Samples/Samples_ConversationalAnalysisAuthoring.cs
@@ -0,0 +1,6402 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+// <auto-generated/>
+
+#nullable disable
+
+using System;
+using System.Text.Json;
+using System.Threading.Tasks;
+using Azure.AI.Language.Authoring.Conversations.Models;
+using Azure.Core;
+using Azure.Identity;
+using NUnit.Framework;
+
+namespace Azure.AI.Language.Authoring.Conversations.Samples
+{
+    public partial class Samples_ConversationalAnalysisAuthoring
+    {
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectMetadata_GetProject_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetProject("<projectName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("projectName").ToString());
+            Console.WriteLine(result.GetProperty("language").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectMetadata_GetProject_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetProjectAsync("<projectName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("projectName").ToString());
+            Console.WriteLine(result.GetProperty("language").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectMetadata_GetProject_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<ProjectMetadata> response = client.GetProject("<projectName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectMetadata_GetProject_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<ProjectMetadata> response = await client.GetProjectAsync("<projectName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectMetadata_GetProject_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetProject("<projectName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+            Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+            Console.WriteLine(result.GetProperty("projectName").ToString());
+            Console.WriteLine(result.GetProperty("multilingual").ToString());
+            Console.WriteLine(result.GetProperty("description").ToString());
+            Console.WriteLine(result.GetProperty("language").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectMetadata_GetProject_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetProjectAsync("<projectName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+            Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+            Console.WriteLine(result.GetProperty("projectName").ToString());
+            Console.WriteLine(result.GetProperty("multilingual").ToString());
+            Console.WriteLine(result.GetProperty("description").ToString());
+            Console.WriteLine(result.GetProperty("language").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectMetadata_GetProject_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<ProjectMetadata> response = client.GetProject("<projectName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectMetadata_GetProject_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<ProjectMetadata> response = await client.GetProjectAsync("<projectName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectMetadata_CreateProject_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "Conversation",
+                projectName = "<projectName>",
+                language = "<language>",
+            });
+            Response response = client.CreateProject("<projectName>", content);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("projectName").ToString());
+            Console.WriteLine(result.GetProperty("language").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectMetadata_CreateProject_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "Conversation",
+                projectName = "<projectName>",
+                language = "<language>",
+            });
+            Response response = await client.CreateProjectAsync("<projectName>", content);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("projectName").ToString());
+            Console.WriteLine(result.GetProperty("language").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectMetadata_CreateProject_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "Conversation",
+                settings = new
+                {
+                    confidenceThreshold = 123.45F,
+                },
+                storageInputContainerName = "<storageInputContainerName>",
+                projectName = "<projectName>",
+                multilingual = true,
+                description = "<description>",
+                language = "<language>",
+            });
+            Response response = client.CreateProject("<projectName>", content);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+            Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+            Console.WriteLine(result.GetProperty("projectName").ToString());
+            Console.WriteLine(result.GetProperty("multilingual").ToString());
+            Console.WriteLine(result.GetProperty("description").ToString());
+            Console.WriteLine(result.GetProperty("language").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectMetadata_CreateProject_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "Conversation",
+                settings = new
+                {
+                    confidenceThreshold = 123.45F,
+                },
+                storageInputContainerName = "<storageInputContainerName>",
+                projectName = "<projectName>",
+                multilingual = true,
+                description = "<description>",
+                language = "<language>",
+            });
+            Response response = await client.CreateProjectAsync("<projectName>", content);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+            Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+            Console.WriteLine(result.GetProperty("projectName").ToString());
+            Console.WriteLine(result.GetProperty("multilingual").ToString());
+            Console.WriteLine(result.GetProperty("description").ToString());
+            Console.WriteLine(result.GetProperty("language").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_CopyProjectAuthorization_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "Conversation",
+            });
+            Response response = client.CopyProjectAuthorization("<projectName>", content);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("targetProjectName").ToString());
+            Console.WriteLine(result.GetProperty("accessToken").ToString());
+            Console.WriteLine(result.GetProperty("expiresAt").ToString());
+            Console.WriteLine(result.GetProperty("targetResourceId").ToString());
+            Console.WriteLine(result.GetProperty("targetResourceRegion").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_CopyProjectAuthorization_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "Conversation",
+            });
+            Response response = await client.CopyProjectAuthorizationAsync("<projectName>", content);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("targetProjectName").ToString());
+            Console.WriteLine(result.GetProperty("accessToken").ToString());
+            Console.WriteLine(result.GetProperty("expiresAt").ToString());
+            Console.WriteLine(result.GetProperty("targetResourceId").ToString());
+            Console.WriteLine(result.GetProperty("targetResourceRegion").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_CopyProjectAuthorization_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<CopyProjectConfig> response = client.CopyProjectAuthorization("<projectName>", ProjectKind.Conversation);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_CopyProjectAuthorization_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<CopyProjectConfig> response = await client.CopyProjectAuthorizationAsync("<projectName>", ProjectKind.Conversation);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_CopyProjectAuthorization_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "Conversation",
+                storageInputContainerName = "<storageInputContainerName>",
+                allowOverwrite = true,
+            });
+            Response response = client.CopyProjectAuthorization("<projectName>", content);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("targetProjectName").ToString());
+            Console.WriteLine(result.GetProperty("accessToken").ToString());
+            Console.WriteLine(result.GetProperty("expiresAt").ToString());
+            Console.WriteLine(result.GetProperty("targetResourceId").ToString());
+            Console.WriteLine(result.GetProperty("targetResourceRegion").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_CopyProjectAuthorization_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "Conversation",
+                storageInputContainerName = "<storageInputContainerName>",
+                allowOverwrite = true,
+            });
+            Response response = await client.CopyProjectAuthorizationAsync("<projectName>", content);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("projectKind").ToString());
+            Console.WriteLine(result.GetProperty("targetProjectName").ToString());
+            Console.WriteLine(result.GetProperty("accessToken").ToString());
+            Console.WriteLine(result.GetProperty("expiresAt").ToString());
+            Console.WriteLine(result.GetProperty("targetResourceId").ToString());
+            Console.WriteLine(result.GetProperty("targetResourceRegion").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_CopyProjectAuthorization_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<CopyProjectConfig> response = client.CopyProjectAuthorization("<projectName>", ProjectKind.Conversation, storageInputContainerName: "<storageInputContainerName>", allowOverwrite: true);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_CopyProjectAuthorization_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<CopyProjectConfig> response = await client.CopyProjectAuthorizationAsync("<projectName>", ProjectKind.Conversation, storageInputContainerName: "<storageInputContainerName>", allowOverwrite: true);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringCopyProjectJobState_GetCopyProjectStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetCopyProjectStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringCopyProjectJobState_GetCopyProjectStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetCopyProjectStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringCopyProjectJobState_GetCopyProjectStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetCopyProjectStatusResponse> response = client.GetCopyProjectStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringCopyProjectJobState_GetCopyProjectStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetCopyProjectStatusResponse> response = await client.GetCopyProjectStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringCopyProjectJobState_GetCopyProjectStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetCopyProjectStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringCopyProjectJobState_GetCopyProjectStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetCopyProjectStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringCopyProjectJobState_GetCopyProjectStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetCopyProjectStatusResponse> response = client.GetCopyProjectStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringCopyProjectJobState_GetCopyProjectStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetCopyProjectStatusResponse> response = await client.GetCopyProjectStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectDeployment_GetDeployment_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetDeployment("<projectName>", "<deploymentName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+            Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectDeployment_GetDeployment_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetDeploymentAsync("<projectName>", "<deploymentName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+            Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectDeployment_GetDeployment_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentResponse> response = client.GetDeployment("<projectName>", "<deploymentName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectDeployment_GetDeployment_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentResponse> response = await client.GetDeploymentAsync("<projectName>", "<deploymentName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectDeployment_GetDeployment_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetDeployment("<projectName>", "<deploymentName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+            Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectDeployment_GetDeployment_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetDeploymentAsync("<projectName>", "<deploymentName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+            Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectDeployment_GetDeployment_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentResponse> response = client.GetDeployment("<projectName>", "<deploymentName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectDeployment_GetDeployment_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentResponse> response = await client.GetDeploymentAsync("<projectName>", "<deploymentName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringDeploymentDeleteFromResourcesJobState_GetDeploymentDeleteFromResourcesStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetDeploymentDeleteFromResourcesStatus("<projectName>", "<deploymentName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringDeploymentDeleteFromResourcesJobState_GetDeploymentDeleteFromResourcesStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetDeploymentDeleteFromResourcesStatusAsync("<projectName>", "<deploymentName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringDeploymentDeleteFromResourcesJobState_GetDeploymentDeleteFromResourcesStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentDeleteFromResourcesStatusResponse> response = client.GetDeploymentDeleteFromResourcesStatus("<projectName>", "<deploymentName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringDeploymentDeleteFromResourcesJobState_GetDeploymentDeleteFromResourcesStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentDeleteFromResourcesStatusResponse> response = await client.GetDeploymentDeleteFromResourcesStatusAsync("<projectName>", "<deploymentName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringDeploymentDeleteFromResourcesJobState_GetDeploymentDeleteFromResourcesStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetDeploymentDeleteFromResourcesStatus("<projectName>", "<deploymentName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringDeploymentDeleteFromResourcesJobState_GetDeploymentDeleteFromResourcesStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetDeploymentDeleteFromResourcesStatusAsync("<projectName>", "<deploymentName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringDeploymentDeleteFromResourcesJobState_GetDeploymentDeleteFromResourcesStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentDeleteFromResourcesStatusResponse> response = client.GetDeploymentDeleteFromResourcesStatus("<projectName>", "<deploymentName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringDeploymentDeleteFromResourcesJobState_GetDeploymentDeleteFromResourcesStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentDeleteFromResourcesStatusResponse> response = await client.GetDeploymentDeleteFromResourcesStatusAsync("<projectName>", "<deploymentName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringDeploymentJobState_GetDeploymentStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetDeploymentStatus("<projectName>", "<deploymentName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringDeploymentJobState_GetDeploymentStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetDeploymentStatusAsync("<projectName>", "<deploymentName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringDeploymentJobState_GetDeploymentStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentStatusResponse> response = client.GetDeploymentStatus("<projectName>", "<deploymentName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringDeploymentJobState_GetDeploymentStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentStatusResponse> response = await client.GetDeploymentStatusAsync("<projectName>", "<deploymentName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringDeploymentJobState_GetDeploymentStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetDeploymentStatus("<projectName>", "<deploymentName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringDeploymentJobState_GetDeploymentStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetDeploymentStatusAsync("<projectName>", "<deploymentName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringDeploymentJobState_GetDeploymentStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentStatusResponse> response = client.GetDeploymentStatus("<projectName>", "<deploymentName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringDeploymentJobState_GetDeploymentStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetDeploymentStatusResponse> response = await client.GetDeploymentStatusAsync("<projectName>", "<deploymentName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringSwapDeploymentsJobState_GetSwapDeploymentsStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetSwapDeploymentsStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringSwapDeploymentsJobState_GetSwapDeploymentsStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetSwapDeploymentsStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringSwapDeploymentsJobState_GetSwapDeploymentsStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetSwapDeploymentsStatusResponse> response = client.GetSwapDeploymentsStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringSwapDeploymentsJobState_GetSwapDeploymentsStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetSwapDeploymentsStatusResponse> response = await client.GetSwapDeploymentsStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringSwapDeploymentsJobState_GetSwapDeploymentsStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetSwapDeploymentsStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringSwapDeploymentsJobState_GetSwapDeploymentsStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetSwapDeploymentsStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringSwapDeploymentsJobState_GetSwapDeploymentsStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetSwapDeploymentsStatusResponse> response = client.GetSwapDeploymentsStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringSwapDeploymentsJobState_GetSwapDeploymentsStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetSwapDeploymentsStatusResponse> response = await client.GetSwapDeploymentsStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringExportProjectJobState_GetExportStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetExportStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringExportProjectJobState_GetExportStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetExportStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringExportProjectJobState_GetExportStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportStatusResponse> response = client.GetExportStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringExportProjectJobState_GetExportStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportStatusResponse> response = await client.GetExportStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringExportProjectJobState_GetExportStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetExportStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("resultUrl").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringExportProjectJobState_GetExportStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetExportStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("resultUrl").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringExportProjectJobState_GetExportStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportStatusResponse> response = client.GetExportStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringExportProjectJobState_GetExportStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportStatusResponse> response = await client.GetExportStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringImportProjectJobState_GetImportStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetImportStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringImportProjectJobState_GetImportStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetImportStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringImportProjectJobState_GetImportStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetImportStatusResponse> response = client.GetImportStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringImportProjectJobState_GetImportStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetImportStatusResponse> response = await client.GetImportStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringImportProjectJobState_GetImportStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetImportStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringImportProjectJobState_GetImportStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetImportStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringImportProjectJobState_GetImportStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetImportStatusResponse> response = client.GetImportStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringImportProjectJobState_GetImportStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetImportStatusResponse> response = await client.GetImportStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectTrainedModel_GetTrainedModel_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetTrainedModel("<projectName>", "<trainedModelLabel>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+            Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectTrainedModel_GetTrainedModel_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetTrainedModelAsync("<projectName>", "<trainedModelLabel>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+            Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectTrainedModel_GetTrainedModel_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetTrainedModelResponse> response = client.GetTrainedModel("<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectTrainedModel_GetTrainedModel_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetTrainedModelResponse> response = await client.GetTrainedModelAsync("<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectTrainedModel_GetTrainedModel_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetTrainedModel("<projectName>", "<trainedModelLabel>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+            Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectTrainedModel_GetTrainedModel_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetTrainedModelAsync("<projectName>", "<trainedModelLabel>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+            Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectTrainedModel_GetTrainedModel_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetTrainedModelResponse> response = client.GetTrainedModel("<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectTrainedModel_GetTrainedModel_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetTrainedModelResponse> response = await client.GetTrainedModelAsync("<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectTrainedModel_DeleteTrainedModel_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.DeleteTrainedModel("<projectName>", "<trainedModelLabel>");
+
+            Console.WriteLine(response.Status);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectTrainedModel_DeleteTrainedModel_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.DeleteTrainedModelAsync("<projectName>", "<trainedModelLabel>");
+
+            Console.WriteLine(response.Status);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectTrainedModel_DeleteTrainedModel_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.DeleteTrainedModel("<projectName>", "<trainedModelLabel>");
+
+            Console.WriteLine(response.Status);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectTrainedModel_DeleteTrainedModel_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.DeleteTrainedModelAsync("<projectName>", "<trainedModelLabel>");
+
+            Console.WriteLine(response.Status);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringEvaluationJobState_GetEvaluationStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetEvaluationStatus("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("percentComplete").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringEvaluationJobState_GetEvaluationStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetEvaluationStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("percentComplete").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringEvaluationJobState_GetEvaluationStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetEvaluationStatusResponse> response = client.GetEvaluationStatus("<projectName>", "<trainedModelLabel>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringEvaluationJobState_GetEvaluationStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetEvaluationStatusResponse> response = await client.GetEvaluationStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringEvaluationJobState_GetEvaluationStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetEvaluationStatus("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("kind").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("percentComplete").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringEvaluationJobState_GetEvaluationStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetEvaluationStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("kind").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("percentComplete").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringEvaluationJobState_GetEvaluationStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetEvaluationStatusResponse> response = client.GetEvaluationStatus("<projectName>", "<trainedModelLabel>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringEvaluationJobState_GetEvaluationStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetEvaluationStatusResponse> response = await client.GetEvaluationStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetModelEvaluationSummary_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetModelEvaluationSummary("<projectName>", "<trainedModelLabel>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("confusionMatrix").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("f1").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("precision").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("recall").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("truePositiveCount").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("trueNegativeCount").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("falsePositiveCount").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("falseNegativeCount").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microF1").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microPrecision").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microRecall").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroF1").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroPrecision").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroRecall").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("confusionMatrix").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("f1").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("precision").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("recall").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("truePositiveCount").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("trueNegativeCount").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("falsePositiveCount").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("falseNegativeCount").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microF1").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microPrecision").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microRecall").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroF1").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroPrecision").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroRecall").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetModelEvaluationSummary_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetModelEvaluationSummaryAsync("<projectName>", "<trainedModelLabel>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("confusionMatrix").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("f1").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("precision").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("recall").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("truePositiveCount").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("trueNegativeCount").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("falsePositiveCount").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("falseNegativeCount").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microF1").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microPrecision").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microRecall").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroF1").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroPrecision").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroRecall").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("confusionMatrix").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("f1").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("precision").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("recall").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("truePositiveCount").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("trueNegativeCount").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("falsePositiveCount").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("falseNegativeCount").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microF1").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microPrecision").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microRecall").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroF1").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroPrecision").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroRecall").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetModelEvaluationSummary_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<EvaluationSummary> response = client.GetModelEvaluationSummary("<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetModelEvaluationSummary_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<EvaluationSummary> response = await client.GetModelEvaluationSummaryAsync("<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetModelEvaluationSummary_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetModelEvaluationSummary("<projectName>", "<trainedModelLabel>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("confusionMatrix").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("f1").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("precision").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("recall").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("truePositiveCount").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("trueNegativeCount").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("falsePositiveCount").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("falseNegativeCount").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microF1").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microPrecision").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microRecall").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroF1").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroPrecision").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroRecall").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("confusionMatrix").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("f1").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("precision").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("recall").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("truePositiveCount").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("trueNegativeCount").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("falsePositiveCount").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("falseNegativeCount").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microF1").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microPrecision").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microRecall").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroF1").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroPrecision").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroRecall").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("kind").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetModelEvaluationSummary_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetModelEvaluationSummaryAsync("<projectName>", "<trainedModelLabel>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("confusionMatrix").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("f1").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("precision").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("recall").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("truePositiveCount").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("trueNegativeCount").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("falsePositiveCount").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("entities").GetProperty("<key>").GetProperty("falseNegativeCount").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microF1").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microPrecision").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("microRecall").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroF1").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroPrecision").ToString());
+            Console.WriteLine(result.GetProperty("entitiesEvaluation").GetProperty("macroRecall").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("confusionMatrix").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("f1").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("precision").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("recall").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("truePositiveCount").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("trueNegativeCount").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("falsePositiveCount").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("intents").GetProperty("<key>").GetProperty("falseNegativeCount").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microF1").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microPrecision").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("microRecall").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroF1").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroPrecision").ToString());
+            Console.WriteLine(result.GetProperty("intentsEvaluation").GetProperty("macroRecall").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("kind").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetModelEvaluationSummary_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<EvaluationSummary> response = client.GetModelEvaluationSummary("<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetModelEvaluationSummary_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<EvaluationSummary> response = await client.GetModelEvaluationSummaryAsync("<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringLoadSnapshotJobState_GetLoadSnapshotStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetLoadSnapshotStatus("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringLoadSnapshotJobState_GetLoadSnapshotStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetLoadSnapshotStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringLoadSnapshotJobState_GetLoadSnapshotStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetLoadSnapshotStatusResponse> response = client.GetLoadSnapshotStatus("<projectName>", "<trainedModelLabel>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringLoadSnapshotJobState_GetLoadSnapshotStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetLoadSnapshotStatusResponse> response = await client.GetLoadSnapshotStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringLoadSnapshotJobState_GetLoadSnapshotStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetLoadSnapshotStatus("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringLoadSnapshotJobState_GetLoadSnapshotStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetLoadSnapshotStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringLoadSnapshotJobState_GetLoadSnapshotStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetLoadSnapshotStatusResponse> response = client.GetLoadSnapshotStatus("<projectName>", "<trainedModelLabel>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringLoadSnapshotJobState_GetLoadSnapshotStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetLoadSnapshotStatusResponse> response = await client.GetLoadSnapshotStatusAsync("<projectName>", "<trainedModelLabel>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringDeploymentResourcesJobState_GetAssignDeploymentResourcesStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetAssignDeploymentResourcesStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringDeploymentResourcesJobState_GetAssignDeploymentResourcesStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetAssignDeploymentResourcesStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringDeploymentResourcesJobState_GetAssignDeploymentResourcesStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetAssignDeploymentResourcesStatusResponse> response = client.GetAssignDeploymentResourcesStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringDeploymentResourcesJobState_GetAssignDeploymentResourcesStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetAssignDeploymentResourcesStatusResponse> response = await client.GetAssignDeploymentResourcesStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringDeploymentResourcesJobState_GetAssignDeploymentResourcesStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetAssignDeploymentResourcesStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringDeploymentResourcesJobState_GetAssignDeploymentResourcesStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetAssignDeploymentResourcesStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringDeploymentResourcesJobState_GetAssignDeploymentResourcesStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetAssignDeploymentResourcesStatusResponse> response = client.GetAssignDeploymentResourcesStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringDeploymentResourcesJobState_GetAssignDeploymentResourcesStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetAssignDeploymentResourcesStatusResponse> response = await client.GetAssignDeploymentResourcesStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetUnassignDeploymentResourcesStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetUnassignDeploymentResourcesStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetUnassignDeploymentResourcesStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetUnassignDeploymentResourcesStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetUnassignDeploymentResourcesStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetUnassignDeploymentResourcesStatusResponse> response = client.GetUnassignDeploymentResourcesStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetUnassignDeploymentResourcesStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetUnassignDeploymentResourcesStatusResponse> response = await client.GetUnassignDeploymentResourcesStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetUnassignDeploymentResourcesStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetUnassignDeploymentResourcesStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetUnassignDeploymentResourcesStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetUnassignDeploymentResourcesStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetUnassignDeploymentResourcesStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetUnassignDeploymentResourcesStatusResponse> response = client.GetUnassignDeploymentResourcesStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetUnassignDeploymentResourcesStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetUnassignDeploymentResourcesStatusResponse> response = await client.GetUnassignDeploymentResourcesStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringTrainingJobState_GetTrainingStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetTrainingStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringTrainingJobState_GetTrainingStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetTrainingStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringTrainingJobState_GetTrainingStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetTrainingStatusResponse> response = client.GetTrainingStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringTrainingJobState_GetTrainingStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetTrainingStatusResponse> response = await client.GetTrainingStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringTrainingJobState_GetTrainingStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetTrainingStatus("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingMode").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("estimatedEndDateTime").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringTrainingJobState_GetTrainingStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetTrainingStatusAsync("<projectName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingMode").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("result").GetProperty("estimatedEndDateTime").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringTrainingJobState_GetTrainingStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetTrainingStatusResponse> response = client.GetTrainingStatus("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringTrainingJobState_GetTrainingStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetTrainingStatusResponse> response = await client.GetTrainingStatusAsync("<projectName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetProjectDeletionStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetProjectDeletionStatus("<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetProjectDeletionStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetProjectDeletionStatusAsync("<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetProjectDeletionStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetProjectDeletionStatusResponse> response = client.GetProjectDeletionStatus("<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetProjectDeletionStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetProjectDeletionStatusResponse> response = await client.GetProjectDeletionStatusAsync("<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetProjectDeletionStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetProjectDeletionStatus("<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetProjectDeletionStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetProjectDeletionStatusAsync("<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetProjectDeletionStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetProjectDeletionStatusResponse> response = client.GetProjectDeletionStatus("<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetProjectDeletionStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetProjectDeletionStatusResponse> response = await client.GetProjectDeletionStatusAsync("<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetAssignedResourceDeployments_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetAssignedResourceDeployments(null, null, null, null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("projectName").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("deploymentName").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("deploymentExpirationDate").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetAssignedResourceDeployments_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetAssignedResourceDeploymentsAsync(null, null, null, null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("projectName").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("deploymentName").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("deploymentExpirationDate").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetAssignedResourceDeployments_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<AssignedResourceDeploymentsMetadata> response = client.GetAssignedResourceDeployments();
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetAssignedResourceDeployments_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<AssignedResourceDeploymentsMetadata> response = await client.GetAssignedResourceDeploymentsAsync();
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetAssignedResourceDeployments_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetAssignedResourceDeployments(1234, 1234, 1234, null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("projectName").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("deploymentName").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("deploymentExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("nextLink").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetAssignedResourceDeployments_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetAssignedResourceDeploymentsAsync(1234, 1234, 1234, null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("projectName").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("deploymentName").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("lastDeployedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("deploymentsMetadata")[0].GetProperty("deploymentExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("nextLink").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetAssignedResourceDeployments_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<AssignedResourceDeploymentsMetadata> response = client.GetAssignedResourceDeployments(top: 1234, skip: 1234, maxpagesize: 1234);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetAssignedResourceDeployments_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<AssignedResourceDeploymentsMetadata> response = await client.GetAssignedResourceDeploymentsAsync(top: 1234, skip: 1234, maxpagesize: 1234);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetSupportedLanguages_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetSupportedLanguages("Conversation");
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("languageName").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("languageCode").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetSupportedLanguages_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetSupportedLanguagesAsync("Conversation");
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("languageName").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("languageCode").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetSupportedLanguages_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<SupportedLanguages> response = client.GetSupportedLanguages(ProjectKind.Conversation);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetSupportedLanguages_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<SupportedLanguages> response = await client.GetSupportedLanguagesAsync(ProjectKind.Conversation);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetSupportedLanguages_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetSupportedLanguages("Conversation", top: 1234, skip: 1234, maxpagesize: 1234);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("languageName").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("languageCode").ToString());
+            Console.WriteLine(result.GetProperty("nextLink").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetSupportedLanguages_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetSupportedLanguagesAsync("Conversation", top: 1234, skip: 1234, maxpagesize: 1234);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("languageName").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("languageCode").ToString());
+            Console.WriteLine(result.GetProperty("nextLink").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetSupportedLanguages_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<SupportedLanguages> response = client.GetSupportedLanguages(ProjectKind.Conversation, top: 1234, skip: 1234, maxpagesize: 1234);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetSupportedLanguages_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<SupportedLanguages> response = await client.GetSupportedLanguagesAsync(ProjectKind.Conversation, top: 1234, skip: 1234, maxpagesize: 1234);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetSupportedPrebuiltEntities_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetSupportedPrebuiltEntities(null, null, null, null, null, null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("category").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("description").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("examples").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetSupportedPrebuiltEntities_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetSupportedPrebuiltEntitiesAsync(null, null, null, null, null, null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("category").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("description").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("examples").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetSupportedPrebuiltEntities_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<PrebuiltEntities> response = client.GetSupportedPrebuiltEntities();
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetSupportedPrebuiltEntities_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<PrebuiltEntities> response = await client.GetSupportedPrebuiltEntitiesAsync();
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetSupportedPrebuiltEntities_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetSupportedPrebuiltEntities("<language>", "<multilingual>", 1234, 1234, 1234, null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("category").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("description").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("examples").ToString());
+            Console.WriteLine(result.GetProperty("nextLink").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetSupportedPrebuiltEntities_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetSupportedPrebuiltEntitiesAsync("<language>", "<multilingual>", 1234, 1234, 1234, null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("category").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("description").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("examples").ToString());
+            Console.WriteLine(result.GetProperty("nextLink").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetSupportedPrebuiltEntities_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<PrebuiltEntities> response = client.GetSupportedPrebuiltEntities(language: "<language>", multilingual: "<multilingual>", top: 1234, skip: 1234, maxpagesize: 1234);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetSupportedPrebuiltEntities_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<PrebuiltEntities> response = await client.GetSupportedPrebuiltEntitiesAsync(language: "<language>", multilingual: "<multilingual>", top: 1234, skip: 1234, maxpagesize: 1234);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetTrainingConfigVersions_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetTrainingConfigVersions("Conversation");
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("modelExpirationDate").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetTrainingConfigVersions_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetTrainingConfigVersionsAsync("Conversation");
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("modelExpirationDate").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetTrainingConfigVersions_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<TrainingConfigVersions> response = client.GetTrainingConfigVersions(ProjectKind.Conversation);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetTrainingConfigVersions_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<TrainingConfigVersions> response = await client.GetTrainingConfigVersionsAsync(ProjectKind.Conversation);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetTrainingConfigVersions_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetTrainingConfigVersions("Conversation", top: 1234, skip: 1234, maxpagesize: 1234);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("nextLink").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetTrainingConfigVersions_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetTrainingConfigVersionsAsync("Conversation", top: 1234, skip: 1234, maxpagesize: 1234);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("value")[0].GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("nextLink").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_GetTrainingConfigVersions_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<TrainingConfigVersions> response = client.GetTrainingConfigVersions(ProjectKind.Conversation, top: 1234, skip: 1234, maxpagesize: 1234);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_GetTrainingConfigVersions_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<TrainingConfigVersions> response = await client.GetTrainingConfigVersionsAsync(ProjectKind.Conversation, top: 1234, skip: 1234, maxpagesize: 1234);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringExportedTrainedModel_GetExportedModel_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetExportedModel("<projectName>", "<exportedModelName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+            Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringExportedTrainedModel_GetExportedModel_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetExportedModelAsync("<projectName>", "<exportedModelName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+            Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringExportedTrainedModel_GetExportedModel_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportedModelResponse> response = client.GetExportedModel("<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringExportedTrainedModel_GetExportedModel_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportedModelResponse> response = await client.GetExportedModelAsync("<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringExportedTrainedModel_GetExportedModel_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetExportedModel("<projectName>", "<exportedModelName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+            Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringExportedTrainedModel_GetExportedModel_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetExportedModelAsync("<projectName>", "<exportedModelName>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("modelId").ToString());
+            Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+            Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+            Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringExportedTrainedModel_GetExportedModel_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportedModelResponse> response = client.GetExportedModel("<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringExportedTrainedModel_GetExportedModel_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportedModelResponse> response = await client.GetExportedModelAsync("<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringExportedModelJobState_GetExportedModelJobStatus_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetExportedModelJobStatus("<projectName>", "<exportedModelName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringExportedModelJobState_GetExportedModelJobStatus_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetExportedModelJobStatusAsync("<projectName>", "<exportedModelName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringExportedModelJobState_GetExportedModelJobStatus_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportedModelJobStatusResponse> response = client.GetExportedModelJobStatus("<projectName>", "<exportedModelName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringExportedModelJobState_GetExportedModelJobStatus_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportedModelJobStatusResponse> response = await client.GetExportedModelJobStatusAsync("<projectName>", "<exportedModelName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringExportedModelJobState_GetExportedModelJobStatus_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = client.GetExportedModelJobStatus("<projectName>", "<exportedModelName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringExportedModelJobState_GetExportedModelJobStatus_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response response = await client.GetExportedModelJobStatusAsync("<projectName>", "<exportedModelName>", "<jobId>", null);
+
+            JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
+            Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+            Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+            Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+            Console.WriteLine(result.GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+            Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringExportedModelJobState_GetExportedModelJobStatus_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportedModelJobStatusResponse> response = client.GetExportedModelJobStatus("<projectName>", "<exportedModelName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringExportedModelJobState_GetExportedModelJobStatus_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Response<GetExportedModelJobStatusResponse> response = await client.GetExportedModelJobStatusAsync("<projectName>", "<exportedModelName>", "<jobId>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectMetadata_GetProjects_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetProjects(null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("projectKind").ToString());
+                Console.WriteLine(result.GetProperty("projectName").ToString());
+                Console.WriteLine(result.GetProperty("language").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectMetadata_GetProjects_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetProjectsAsync(null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("projectKind").ToString());
+                Console.WriteLine(result.GetProperty("projectName").ToString());
+                Console.WriteLine(result.GetProperty("language").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectMetadata_GetProjects_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (ProjectMetadata item in client.GetProjects())
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectMetadata_GetProjects_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (ProjectMetadata item in client.GetProjectsAsync())
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectMetadata_GetProjects_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetProjects(1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("projectKind").ToString());
+                Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+                Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+                Console.WriteLine(result.GetProperty("projectName").ToString());
+                Console.WriteLine(result.GetProperty("multilingual").ToString());
+                Console.WriteLine(result.GetProperty("description").ToString());
+                Console.WriteLine(result.GetProperty("language").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectMetadata_GetProjects_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetProjectsAsync(1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastModifiedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("projectKind").ToString());
+                Console.WriteLine(result.GetProperty("settings").GetProperty("confidenceThreshold").ToString());
+                Console.WriteLine(result.GetProperty("storageInputContainerName").ToString());
+                Console.WriteLine(result.GetProperty("projectName").ToString());
+                Console.WriteLine(result.GetProperty("multilingual").ToString());
+                Console.WriteLine(result.GetProperty("description").ToString());
+                Console.WriteLine(result.GetProperty("language").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectMetadata_GetProjects_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (ProjectMetadata item in client.GetProjects(maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectMetadata_GetProjects_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (ProjectMetadata item in client.GetProjectsAsync(maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectDeployment_GetDeployments_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetDeployments("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("deploymentName").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+                Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectDeployment_GetDeployments_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetDeploymentsAsync("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("deploymentName").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+                Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectDeployment_GetDeployments_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (ProjectDeployment item in client.GetDeployments("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectDeployment_GetDeployments_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (ProjectDeployment item in client.GetDeploymentsAsync("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectDeployment_GetDeployments_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetDeployments("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("deploymentName").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+                Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectDeployment_GetDeployments_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetDeploymentsAsync("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("deploymentName").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastDeployedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("deploymentExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("resourceId").ToString());
+                Console.WriteLine(result.GetProperty("assignedResources")[0].GetProperty("region").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectDeployment_GetDeployments_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (ProjectDeployment item in client.GetDeployments("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectDeployment_GetDeployments_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (ProjectDeployment item in client.GetDeploymentsAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectTrainedModel_GetTrainedModels_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetTrainedModels("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("label").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectTrainedModel_GetTrainedModels_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetTrainedModelsAsync("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("label").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectTrainedModel_GetTrainedModels_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (ProjectTrainedModel item in client.GetTrainedModels("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectTrainedModel_GetTrainedModels_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (ProjectTrainedModel item in client.GetTrainedModelsAsync("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectTrainedModel_GetTrainedModels_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetTrainedModels("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("label").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectTrainedModel_GetTrainedModels_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetTrainedModelsAsync("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("label").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainingDurationInSeconds").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("hasSnapshot").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringProjectTrainedModel_GetTrainedModels_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (ProjectTrainedModel item in client.GetTrainedModels("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringProjectTrainedModel_GetTrainedModels_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (ProjectTrainedModel item in client.GetTrainedModelsAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringUtteranceEvaluationResult_GetModelEvaluationResults_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetModelEvaluationResults("<projectName>", "<trainedModelLabel>", "Utf16CodeUnit"))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("text").ToString());
+                Console.WriteLine(result.GetProperty("language").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("category").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("offset").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("length").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("category").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("offset").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("length").ToString());
+                Console.WriteLine(result.GetProperty("intentsResult").GetProperty("expectedIntent").ToString());
+                Console.WriteLine(result.GetProperty("intentsResult").GetProperty("predictedIntent").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringUtteranceEvaluationResult_GetModelEvaluationResults_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetModelEvaluationResultsAsync("<projectName>", "<trainedModelLabel>", "Utf16CodeUnit"))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("text").ToString());
+                Console.WriteLine(result.GetProperty("language").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("category").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("offset").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("length").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("category").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("offset").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("length").ToString());
+                Console.WriteLine(result.GetProperty("intentsResult").GetProperty("expectedIntent").ToString());
+                Console.WriteLine(result.GetProperty("intentsResult").GetProperty("predictedIntent").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringUtteranceEvaluationResult_GetModelEvaluationResults_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (UtteranceEvaluationResult item in client.GetModelEvaluationResults("<projectName>", "<trainedModelLabel>", StringIndexType.Utf16CodeUnit))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringUtteranceEvaluationResult_GetModelEvaluationResults_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (UtteranceEvaluationResult item in client.GetModelEvaluationResultsAsync("<projectName>", "<trainedModelLabel>", StringIndexType.Utf16CodeUnit))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringUtteranceEvaluationResult_GetModelEvaluationResults_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetModelEvaluationResults("<projectName>", "<trainedModelLabel>", "Utf16CodeUnit", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("text").ToString());
+                Console.WriteLine(result.GetProperty("language").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("category").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("offset").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("length").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("category").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("offset").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("length").ToString());
+                Console.WriteLine(result.GetProperty("intentsResult").GetProperty("expectedIntent").ToString());
+                Console.WriteLine(result.GetProperty("intentsResult").GetProperty("predictedIntent").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringUtteranceEvaluationResult_GetModelEvaluationResults_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetModelEvaluationResultsAsync("<projectName>", "<trainedModelLabel>", "Utf16CodeUnit", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("text").ToString());
+                Console.WriteLine(result.GetProperty("language").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("category").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("offset").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("expectedEntities")[0].GetProperty("length").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("category").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("offset").ToString());
+                Console.WriteLine(result.GetProperty("entitiesResult").GetProperty("predictedEntities")[0].GetProperty("length").ToString());
+                Console.WriteLine(result.GetProperty("intentsResult").GetProperty("expectedIntent").ToString());
+                Console.WriteLine(result.GetProperty("intentsResult").GetProperty("predictedIntent").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringUtteranceEvaluationResult_GetModelEvaluationResults_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (UtteranceEvaluationResult item in client.GetModelEvaluationResults("<projectName>", "<trainedModelLabel>", StringIndexType.Utf16CodeUnit, maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringUtteranceEvaluationResult_GetModelEvaluationResults_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (UtteranceEvaluationResult item in client.GetModelEvaluationResultsAsync("<projectName>", "<trainedModelLabel>", StringIndexType.Utf16CodeUnit, maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringAssignedDeploymentResource_GetDeploymentResources_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetDeploymentResources("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("azureResourceId").ToString());
+                Console.WriteLine(result.GetProperty("region").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringAssignedDeploymentResource_GetDeploymentResources_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetDeploymentResourcesAsync("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("azureResourceId").ToString());
+                Console.WriteLine(result.GetProperty("region").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringAssignedDeploymentResource_GetDeploymentResources_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (AssignedDeploymentResource item in client.GetDeploymentResources("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringAssignedDeploymentResource_GetDeploymentResources_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (AssignedDeploymentResource item in client.GetDeploymentResourcesAsync("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringAssignedDeploymentResource_GetDeploymentResources_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetDeploymentResources("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("azureResourceId").ToString());
+                Console.WriteLine(result.GetProperty("region").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringAssignedDeploymentResource_GetDeploymentResources_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetDeploymentResourcesAsync("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("azureResourceId").ToString());
+                Console.WriteLine(result.GetProperty("region").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringAssignedDeploymentResource_GetDeploymentResources_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (AssignedDeploymentResource item in client.GetDeploymentResources("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringAssignedDeploymentResource_GetDeploymentResources_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (AssignedDeploymentResource item in client.GetDeploymentResourcesAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringTrainingJobState_GetTrainingJobs_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetTrainingJobs("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("jobId").ToString());
+                Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("status").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringTrainingJobState_GetTrainingJobs_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetTrainingJobsAsync("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("jobId").ToString());
+                Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("status").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringTrainingJobState_GetTrainingJobs_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (TrainingJobState item in client.GetTrainingJobs("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringTrainingJobState_GetTrainingJobs_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (TrainingJobState item in client.GetTrainingJobsAsync("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringTrainingJobState_GetTrainingJobs_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetTrainingJobs("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("jobId").ToString());
+                Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+                Console.WriteLine(result.GetProperty("status").ToString());
+                Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingMode").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("status").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("estimatedEndDateTime").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringTrainingJobState_GetTrainingJobs_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetTrainingJobsAsync("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("jobId").ToString());
+                Console.WriteLine(result.GetProperty("createdDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastUpdatedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("expirationDateTime").ToString());
+                Console.WriteLine(result.GetProperty("status").ToString());
+                Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("warnings")[0].GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("target").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("target").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("details")[0].GetProperty("innererror").GetProperty("target").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("code").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("message").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("details").GetProperty("<key>").ToString());
+                Console.WriteLine(result.GetProperty("errors")[0].GetProperty("innererror").GetProperty("target").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("modelLabel").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingConfigVersion").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingMode").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("trainingStatus").GetProperty("status").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("evaluationStatus").GetProperty("status").ToString());
+                Console.WriteLine(result.GetProperty("result").GetProperty("estimatedEndDateTime").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringTrainingJobState_GetTrainingJobs_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (TrainingJobState item in client.GetTrainingJobs("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringTrainingJobState_GetTrainingJobs_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (TrainingJobState item in client.GetTrainingJobsAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringExportedTrainedModel_GetExportedModels_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetExportedModels("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("exportedModelName").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringExportedTrainedModel_GetExportedModels_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetExportedModelsAsync("<projectName>", null, null, null, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("exportedModelName").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringExportedTrainedModel_GetExportedModels_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (ExportedTrainedModel item in client.GetExportedModels("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringExportedTrainedModel_GetExportedModels_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (ExportedTrainedModel item in client.GetExportedModelsAsync("<projectName>"))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringExportedTrainedModel_GetExportedModels_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (BinaryData item in client.GetExportedModels("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("exportedModelName").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringExportedTrainedModel_GetExportedModels_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (BinaryData item in client.GetExportedModelsAsync("<projectName>", 1234, 1234, 1234, null))
+            {
+                JsonElement result = JsonDocument.Parse(item.ToStream()).RootElement;
+                Console.WriteLine(result.GetProperty("exportedModelName").ToString());
+                Console.WriteLine(result.GetProperty("modelId").ToString());
+                Console.WriteLine(result.GetProperty("lastTrainedDateTime").ToString());
+                Console.WriteLine(result.GetProperty("lastExportedModelDateTime").ToString());
+                Console.WriteLine(result.GetProperty("modelExpirationDate").ToString());
+                Console.WriteLine(result.GetProperty("modelTrainingConfigVersion").ToString());
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoringExportedTrainedModel_GetExportedModels_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            foreach (ExportedTrainedModel item in client.GetExportedModels("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoringExportedTrainedModel_GetExportedModels_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            await foreach (ExportedTrainedModel item in client.GetExportedModelsAsync("<projectName>", maxCount: 1234, skip: 1234, maxpagesize: 1234))
+            {
+            }
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_DeleteProject_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.DeleteProject(WaitUntil.Completed, "<projectName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_DeleteProject_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.DeleteProjectAsync(WaitUntil.Completed, "<projectName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_DeleteProject_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.DeleteProject(WaitUntil.Completed, "<projectName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_DeleteProject_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.DeleteProjectAsync(WaitUntil.Completed, "<projectName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_CopyProject_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "Conversation",
+                targetProjectName = "<targetProjectName>",
+                accessToken = "<accessToken>",
+                expiresAt = "2022-05-10T18:57:31.2311892Z",
+                targetResourceId = "<targetResourceId>",
+                targetResourceRegion = "<targetResourceRegion>",
+            });
+            Operation operation = client.CopyProject(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_CopyProject_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "Conversation",
+                targetProjectName = "<targetProjectName>",
+                accessToken = "<accessToken>",
+                expiresAt = "2022-05-10T18:57:31.2311892Z",
+                targetResourceId = "<targetResourceId>",
+                targetResourceRegion = "<targetResourceRegion>",
+            });
+            Operation operation = await client.CopyProjectAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_CopyProject_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            CopyProjectConfig body = new CopyProjectConfig(
+                ProjectKind.Conversation,
+                "<targetProjectName>",
+                "<accessToken>",
+                DateTimeOffset.Parse("2022-05-10T18:57:31.2311892Z"),
+                "<targetResourceId>",
+                "<targetResourceRegion>");
+            Operation operation = client.CopyProject(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_CopyProject_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            CopyProjectConfig body = new CopyProjectConfig(
+                ProjectKind.Conversation,
+                "<targetProjectName>",
+                "<accessToken>",
+                DateTimeOffset.Parse("2022-05-10T18:57:31.2311892Z"),
+                "<targetResourceId>",
+                "<targetResourceRegion>");
+            Operation operation = await client.CopyProjectAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_CopyProject_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "Conversation",
+                targetProjectName = "<targetProjectName>",
+                accessToken = "<accessToken>",
+                expiresAt = "2022-05-10T18:57:31.2311892Z",
+                targetResourceId = "<targetResourceId>",
+                targetResourceRegion = "<targetResourceRegion>",
+            });
+            Operation operation = client.CopyProject(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_CopyProject_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectKind = "Conversation",
+                targetProjectName = "<targetProjectName>",
+                accessToken = "<accessToken>",
+                expiresAt = "2022-05-10T18:57:31.2311892Z",
+                targetResourceId = "<targetResourceId>",
+                targetResourceRegion = "<targetResourceRegion>",
+            });
+            Operation operation = await client.CopyProjectAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_CopyProject_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            CopyProjectConfig body = new CopyProjectConfig(
+                ProjectKind.Conversation,
+                "<targetProjectName>",
+                "<accessToken>",
+                DateTimeOffset.Parse("2022-05-10T18:57:31.2311892Z"),
+                "<targetResourceId>",
+                "<targetResourceRegion>");
+            Operation operation = client.CopyProject(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_CopyProject_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            CopyProjectConfig body = new CopyProjectConfig(
+                ProjectKind.Conversation,
+                "<targetProjectName>",
+                "<accessToken>",
+                DateTimeOffset.Parse("2022-05-10T18:57:31.2311892Z"),
+                "<targetResourceId>",
+                "<targetResourceRegion>");
+            Operation operation = await client.CopyProjectAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_Export_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.Export(WaitUntil.Completed, "<projectName>", "Utf16CodeUnit");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_Export_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.ExportAsync(WaitUntil.Completed, "<projectName>", "Utf16CodeUnit");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_Export_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.Export(WaitUntil.Completed, "<projectName>", StringIndexType.Utf16CodeUnit);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_Export_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.ExportAsync(WaitUntil.Completed, "<projectName>", StringIndexType.Utf16CodeUnit);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_Export_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.Export(WaitUntil.Completed, "<projectName>", "Utf16CodeUnit", exportedProjectFormat: "Conversation", assetKind: "<assetKind>", trainedModelLabel: "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_Export_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.ExportAsync(WaitUntil.Completed, "<projectName>", "Utf16CodeUnit", exportedProjectFormat: "Conversation", assetKind: "<assetKind>", trainedModelLabel: "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_Export_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.Export(WaitUntil.Completed, "<projectName>", StringIndexType.Utf16CodeUnit, exportedProjectFormat: ExportedProjectFormat.Conversation, assetKind: "<assetKind>", trainedModelLabel: "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_Export_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.ExportAsync(WaitUntil.Completed, "<projectName>", StringIndexType.Utf16CodeUnit, exportedProjectFormat: ExportedProjectFormat.Conversation, assetKind: "<assetKind>", trainedModelLabel: "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_Import_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectFileVersion = "<projectFileVersion>",
+                stringIndexType = "Utf16CodeUnit",
+                metadata = new
+                {
+                    projectKind = "Conversation",
+                    projectName = "<projectName>",
+                    language = "<language>",
+                },
+            });
+            Operation operation = client.Import(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_Import_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectFileVersion = "<projectFileVersion>",
+                stringIndexType = "Utf16CodeUnit",
+                metadata = new
+                {
+                    projectKind = "Conversation",
+                    projectName = "<projectName>",
+                    language = "<language>",
+                },
+            });
+            Operation operation = await client.ImportAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_Import_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            ExportedProject body = new ExportedProject("<projectFileVersion>", StringIndexType.Utf16CodeUnit, new CreateProjectConfig(ProjectKind.Conversation, "<projectName>", "<language>"));
+            Operation operation = client.Import(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_Import_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            ExportedProject body = new ExportedProject("<projectFileVersion>", StringIndexType.Utf16CodeUnit, new CreateProjectConfig(ProjectKind.Conversation, "<projectName>", "<language>"));
+            Operation operation = await client.ImportAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_Import_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectFileVersion = "<projectFileVersion>",
+                stringIndexType = "Utf16CodeUnit",
+                metadata = new
+                {
+                    projectKind = "Conversation",
+                    settings = new
+                    {
+                        confidenceThreshold = 123.45F,
+                    },
+                    storageInputContainerName = "<storageInputContainerName>",
+                    projectName = "<projectName>",
+                    multilingual = true,
+                    description = "<description>",
+                    language = "<language>",
+                },
+                assets = new
+                {
+                    intents = new object[]
+            {
+new
+{
+category = "<category>",
+}
+            },
+                    entities = new object[]
+            {
+new
+{
+category = "<category>",
+compositionSetting = "returnLongestOverlap",
+list = new
+{
+sublists = new object[]
+{
+new
+{
+listKey = "<listKey>",
+synonyms = new object[]
+{
+new
+{
+language = "<language>",
+values = new object[]
+{
+"<values>"
+},
+}
+},
+}
+},
+},
+prebuilts = new object[]
+{
+new
+{
+category = "<category>",
+}
+},
+regex = new
+{
+expressions = new object[]
+{
+new
+{
+regexKey = "<regexKey>",
+language = "<language>",
+regexPattern = "<regexPattern>",
+}
+},
+},
+requiredComponents = new object[]
+{
+"<requiredComponents>"
+},
+}
+            },
+                    utterances = new object[]
+            {
+new
+{
+entities = new object[]
+{
+new
+{
+category = "<category>",
+offset = 1234,
+length = 1234,
+}
+},
+text = "<text>",
+language = "<language>",
+intent = "<intent>",
+dataset = "<dataset>",
+}
+            },
+                    projectKind = "Conversation",
+                },
+            });
+            Operation operation = client.Import(WaitUntil.Completed, "<projectName>", content, exportedProjectFormat: "Conversation");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_Import_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                projectFileVersion = "<projectFileVersion>",
+                stringIndexType = "Utf16CodeUnit",
+                metadata = new
+                {
+                    projectKind = "Conversation",
+                    settings = new
+                    {
+                        confidenceThreshold = 123.45F,
+                    },
+                    storageInputContainerName = "<storageInputContainerName>",
+                    projectName = "<projectName>",
+                    multilingual = true,
+                    description = "<description>",
+                    language = "<language>",
+                },
+                assets = new
+                {
+                    intents = new object[]
+            {
+new
+{
+category = "<category>",
+}
+            },
+                    entities = new object[]
+            {
+new
+{
+category = "<category>",
+compositionSetting = "returnLongestOverlap",
+list = new
+{
+sublists = new object[]
+{
+new
+{
+listKey = "<listKey>",
+synonyms = new object[]
+{
+new
+{
+language = "<language>",
+values = new object[]
+{
+"<values>"
+},
+}
+},
+}
+},
+},
+prebuilts = new object[]
+{
+new
+{
+category = "<category>",
+}
+},
+regex = new
+{
+expressions = new object[]
+{
+new
+{
+regexKey = "<regexKey>",
+language = "<language>",
+regexPattern = "<regexPattern>",
+}
+},
+},
+requiredComponents = new object[]
+{
+"<requiredComponents>"
+},
+}
+            },
+                    utterances = new object[]
+            {
+new
+{
+entities = new object[]
+{
+new
+{
+category = "<category>",
+offset = 1234,
+length = 1234,
+}
+},
+text = "<text>",
+language = "<language>",
+intent = "<intent>",
+dataset = "<dataset>",
+}
+            },
+                    projectKind = "Conversation",
+                },
+            });
+            Operation operation = await client.ImportAsync(WaitUntil.Completed, "<projectName>", content, exportedProjectFormat: "Conversation");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_Import_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            ExportedProject body = new ExportedProject("<projectFileVersion>", StringIndexType.Utf16CodeUnit, new CreateProjectConfig(ProjectKind.Conversation, "<projectName>", "<language>")
+            {
+                Settings = new ProjectSettings(123.45F),
+                StorageInputContainerName = "<storageInputContainerName>",
+                Multilingual = true,
+                Description = "<description>",
+            })
+            {
+                Assets = new ConversationExportedProjectAssets
+                {
+                    Intents = { new ConversationExportedIntent("<category>") },
+                    Entities = {new ConversationExportedEntity("<category>")
+{
+CompositionSetting = CompositionSetting.ReturnLongestOverlap,
+List = new ExportedEntityList
+{
+Sublists = {new ExportedEntitySublist
+{
+ListKey = "<listKey>",
+Synonyms = {new ExportedEntityListSynonym
+{
+Language = "<language>",
+Values = {"<values>"},
+}},
+}},
+},
+Prebuilts = {new ExportedPrebuiltEntity("<category>")},
+Regex = new ExportedEntityRegex
+{
+Expressions = {new ExportedEntityRegexExpression
+{
+RegexKey = "<regexKey>",
+Language = "<language>",
+RegexPattern = "<regexPattern>",
+}},
+},
+RequiredComponents = {"<requiredComponents>"},
+}},
+                    Utterances = {new ConversationExportedUtterance("<text>", "<intent>")
+{
+Entities = {new ExportedUtteranceEntityLabel("<category>", 1234, 1234)},
+Language = "<language>",
+Dataset = "<dataset>",
+}},
+                },
+            };
+            Operation operation = client.Import(WaitUntil.Completed, "<projectName>", body, exportedProjectFormat: ExportedProjectFormat.Conversation);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_Import_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            ExportedProject body = new ExportedProject("<projectFileVersion>", StringIndexType.Utf16CodeUnit, new CreateProjectConfig(ProjectKind.Conversation, "<projectName>", "<language>")
+            {
+                Settings = new ProjectSettings(123.45F),
+                StorageInputContainerName = "<storageInputContainerName>",
+                Multilingual = true,
+                Description = "<description>",
+            })
+            {
+                Assets = new ConversationExportedProjectAssets
+                {
+                    Intents = { new ConversationExportedIntent("<category>") },
+                    Entities = {new ConversationExportedEntity("<category>")
+{
+CompositionSetting = CompositionSetting.ReturnLongestOverlap,
+List = new ExportedEntityList
+{
+Sublists = {new ExportedEntitySublist
+{
+ListKey = "<listKey>",
+Synonyms = {new ExportedEntityListSynonym
+{
+Language = "<language>",
+Values = {"<values>"},
+}},
+}},
+},
+Prebuilts = {new ExportedPrebuiltEntity("<category>")},
+Regex = new ExportedEntityRegex
+{
+Expressions = {new ExportedEntityRegexExpression
+{
+RegexKey = "<regexKey>",
+Language = "<language>",
+RegexPattern = "<regexPattern>",
+}},
+},
+RequiredComponents = {"<requiredComponents>"},
+}},
+                    Utterances = {new ConversationExportedUtterance("<text>", "<intent>")
+{
+Entities = {new ExportedUtteranceEntityLabel("<category>", 1234, 1234)},
+Language = "<language>",
+Dataset = "<dataset>",
+}},
+                },
+            };
+            Operation operation = await client.ImportAsync(WaitUntil.Completed, "<projectName>", body, exportedProjectFormat: ExportedProjectFormat.Conversation);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_Train_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                modelLabel = "<modelLabel>",
+                trainingMode = "advanced",
+            });
+            Operation<BinaryData> operation = client.Train(WaitUntil.Completed, "<projectName>", content);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_Train_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                modelLabel = "<modelLabel>",
+                trainingMode = "advanced",
+            });
+            Operation<BinaryData> operation = await client.TrainAsync(WaitUntil.Completed, "<projectName>", content);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_Train_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            TrainingJobConfig body = new TrainingJobConfig("<modelLabel>", TrainingMode.Advanced);
+            Operation<TrainingJobResult> operation = client.Train(WaitUntil.Completed, "<projectName>", body);
+            TrainingJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_Train_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            TrainingJobConfig body = new TrainingJobConfig("<modelLabel>", TrainingMode.Advanced);
+            Operation<TrainingJobResult> operation = await client.TrainAsync(WaitUntil.Completed, "<projectName>", body);
+            TrainingJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_Train_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                modelLabel = "<modelLabel>",
+                trainingConfigVersion = "<trainingConfigVersion>",
+                trainingMode = "advanced",
+                evaluationOptions = new
+                {
+                    kind = "percentage",
+                    trainingSplitPercentage = 1234,
+                    testingSplitPercentage = 1234,
+                },
+            });
+            Operation<BinaryData> operation = client.Train(WaitUntil.Completed, "<projectName>", content);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("trainingMode").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("estimatedEndDateTime").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_Train_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                modelLabel = "<modelLabel>",
+                trainingConfigVersion = "<trainingConfigVersion>",
+                trainingMode = "advanced",
+                evaluationOptions = new
+                {
+                    kind = "percentage",
+                    trainingSplitPercentage = 1234,
+                    testingSplitPercentage = 1234,
+                },
+            });
+            Operation<BinaryData> operation = await client.TrainAsync(WaitUntil.Completed, "<projectName>", content);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("trainingMode").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("estimatedEndDateTime").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_Train_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            TrainingJobConfig body = new TrainingJobConfig("<modelLabel>", TrainingMode.Advanced)
+            {
+                TrainingConfigVersion = "<trainingConfigVersion>",
+                EvaluationOptions = new EvaluationConfig
+                {
+                    Kind = EvaluationKind.Percentage,
+                    TrainingSplitPercentage = 1234,
+                    TestingSplitPercentage = 1234,
+                },
+            };
+            Operation<TrainingJobResult> operation = client.Train(WaitUntil.Completed, "<projectName>", body);
+            TrainingJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_Train_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            TrainingJobConfig body = new TrainingJobConfig("<modelLabel>", TrainingMode.Advanced)
+            {
+                TrainingConfigVersion = "<trainingConfigVersion>",
+                EvaluationOptions = new EvaluationConfig
+                {
+                    Kind = EvaluationKind.Percentage,
+                    TrainingSplitPercentage = 1234,
+                    TestingSplitPercentage = 1234,
+                },
+            };
+            Operation<TrainingJobResult> operation = await client.TrainAsync(WaitUntil.Completed, "<projectName>", body);
+            TrainingJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_SwapDeployments_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                firstDeploymentName = "<firstDeploymentName>",
+                secondDeploymentName = "<secondDeploymentName>",
+            });
+            Operation operation = client.SwapDeployments(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_SwapDeployments_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                firstDeploymentName = "<firstDeploymentName>",
+                secondDeploymentName = "<secondDeploymentName>",
+            });
+            Operation operation = await client.SwapDeploymentsAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_SwapDeployments_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            SwapDeploymentsConfig body = new SwapDeploymentsConfig("<firstDeploymentName>", "<secondDeploymentName>");
+            Operation operation = client.SwapDeployments(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_SwapDeployments_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            SwapDeploymentsConfig body = new SwapDeploymentsConfig("<firstDeploymentName>", "<secondDeploymentName>");
+            Operation operation = await client.SwapDeploymentsAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_SwapDeployments_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                firstDeploymentName = "<firstDeploymentName>",
+                secondDeploymentName = "<secondDeploymentName>",
+            });
+            Operation operation = client.SwapDeployments(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_SwapDeployments_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                firstDeploymentName = "<firstDeploymentName>",
+                secondDeploymentName = "<secondDeploymentName>",
+            });
+            Operation operation = await client.SwapDeploymentsAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_SwapDeployments_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            SwapDeploymentsConfig body = new SwapDeploymentsConfig("<firstDeploymentName>", "<secondDeploymentName>");
+            Operation operation = client.SwapDeployments(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_SwapDeployments_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            SwapDeploymentsConfig body = new SwapDeploymentsConfig("<firstDeploymentName>", "<secondDeploymentName>");
+            Operation operation = await client.SwapDeploymentsAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_DeployProject_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                trainedModelLabel = "<trainedModelLabel>",
+            });
+            Operation operation = client.DeployProject(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_DeployProject_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                trainedModelLabel = "<trainedModelLabel>",
+            });
+            Operation operation = await client.DeployProjectAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_DeployProject_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            CreateDeploymentConfig body = new CreateDeploymentConfig("<trainedModelLabel>");
+            Operation operation = client.DeployProject(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_DeployProject_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            CreateDeploymentConfig body = new CreateDeploymentConfig("<trainedModelLabel>");
+            Operation operation = await client.DeployProjectAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_DeployProject_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                trainedModelLabel = "<trainedModelLabel>",
+                assignedResourceIds = new object[]
+            {
+"<assignedResourceIds>"
+            },
+            });
+            Operation operation = client.DeployProject(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_DeployProject_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                trainedModelLabel = "<trainedModelLabel>",
+                assignedResourceIds = new object[]
+            {
+"<assignedResourceIds>"
+            },
+            });
+            Operation operation = await client.DeployProjectAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_DeployProject_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            CreateDeploymentConfig body = new CreateDeploymentConfig("<trainedModelLabel>")
+            {
+                AssignedResourceIds = { "<assignedResourceIds>" },
+            };
+            Operation operation = client.DeployProject(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_DeployProject_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            CreateDeploymentConfig body = new CreateDeploymentConfig("<trainedModelLabel>")
+            {
+                AssignedResourceIds = { "<assignedResourceIds>" },
+            };
+            Operation operation = await client.DeployProjectAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_DeleteDeployment_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.DeleteDeployment(WaitUntil.Completed, "<projectName>", "<deploymentName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_DeleteDeployment_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.DeleteDeploymentAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_DeleteDeployment_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.DeleteDeployment(WaitUntil.Completed, "<projectName>", "<deploymentName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_DeleteDeployment_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.DeleteDeploymentAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_DeleteDeploymentFromResources_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new object());
+            Operation operation = client.DeleteDeploymentFromResources(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_DeleteDeploymentFromResources_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new object());
+            Operation operation = await client.DeleteDeploymentFromResourcesAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_DeleteDeploymentFromResources_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            DeleteDeploymentConfig body = new DeleteDeploymentConfig();
+            Operation operation = client.DeleteDeploymentFromResources(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_DeleteDeploymentFromResources_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            DeleteDeploymentConfig body = new DeleteDeploymentConfig();
+            Operation operation = await client.DeleteDeploymentFromResourcesAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_DeleteDeploymentFromResources_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                assignedResourceIds = new object[]
+            {
+"<assignedResourceIds>"
+            },
+            });
+            Operation operation = client.DeleteDeploymentFromResources(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_DeleteDeploymentFromResources_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                assignedResourceIds = new object[]
+            {
+"<assignedResourceIds>"
+            },
+            });
+            Operation operation = await client.DeleteDeploymentFromResourcesAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_DeleteDeploymentFromResources_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            DeleteDeploymentConfig body = new DeleteDeploymentConfig
+            {
+                AssignedResourceIds = { "<assignedResourceIds>" },
+            };
+            Operation operation = client.DeleteDeploymentFromResources(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_DeleteDeploymentFromResources_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            DeleteDeploymentConfig body = new DeleteDeploymentConfig
+            {
+                AssignedResourceIds = { "<assignedResourceIds>" },
+            };
+            Operation operation = await client.DeleteDeploymentFromResourcesAsync(WaitUntil.Completed, "<projectName>", "<deploymentName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_EvaluateModel_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new object());
+            Operation<BinaryData> operation = client.EvaluateModel(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", content);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("evaluationOptions").ToString());
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("percentComplete").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_EvaluateModel_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new object());
+            Operation<BinaryData> operation = await client.EvaluateModelAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", content);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("evaluationOptions").ToString());
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("percentComplete").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_EvaluateModel_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            EvaluationConfig body = new EvaluationConfig();
+            Operation<EvaluationJobResult> operation = client.EvaluateModel(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", body);
+            EvaluationJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_EvaluateModel_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            EvaluationConfig body = new EvaluationConfig();
+            Operation<EvaluationJobResult> operation = await client.EvaluateModelAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", body);
+            EvaluationJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_EvaluateModel_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                kind = "percentage",
+                trainingSplitPercentage = 1234,
+                testingSplitPercentage = 1234,
+            });
+            Operation<BinaryData> operation = client.EvaluateModel(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", content);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("kind").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("percentComplete").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_EvaluateModel_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                kind = "percentage",
+                trainingSplitPercentage = 1234,
+                testingSplitPercentage = 1234,
+            });
+            Operation<BinaryData> operation = await client.EvaluateModelAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", content);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("kind").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("trainingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("evaluationOptions").GetProperty("testingSplitPercentage").ToString());
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("percentComplete").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_EvaluateModel_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            EvaluationConfig body = new EvaluationConfig
+            {
+                Kind = EvaluationKind.Percentage,
+                TrainingSplitPercentage = 1234,
+                TestingSplitPercentage = 1234,
+            };
+            Operation<EvaluationJobResult> operation = client.EvaluateModel(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", body);
+            EvaluationJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_EvaluateModel_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            EvaluationConfig body = new EvaluationConfig
+            {
+                Kind = EvaluationKind.Percentage,
+                TrainingSplitPercentage = 1234,
+                TestingSplitPercentage = 1234,
+            };
+            Operation<EvaluationJobResult> operation = await client.EvaluateModelAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>", body);
+            EvaluationJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_LoadSnapshot_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.LoadSnapshot(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_LoadSnapshot_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.LoadSnapshotAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_LoadSnapshot_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.LoadSnapshot(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_LoadSnapshot_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.LoadSnapshotAsync(WaitUntil.Completed, "<projectName>", "<trainedModelLabel>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_AssignDeploymentResources_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                resourcesMetadata = new object[]
+            {
+new
+{
+azureResourceId = "<azureResourceId>",
+customDomain = "<customDomain>",
+region = "<region>",
+}
+            },
+            });
+            Operation operation = client.AssignDeploymentResources(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_AssignDeploymentResources_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                resourcesMetadata = new object[]
+            {
+new
+{
+azureResourceId = "<azureResourceId>",
+customDomain = "<customDomain>",
+region = "<region>",
+}
+            },
+            });
+            Operation operation = await client.AssignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_AssignDeploymentResources_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            AssignDeploymentResourcesConfig body = new AssignDeploymentResourcesConfig(new ResourceMetadata[]
+            {
+new ResourceMetadata("<azureResourceId>", "<customDomain>", "<region>")
+            });
+            Operation operation = client.AssignDeploymentResources(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_AssignDeploymentResources_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            AssignDeploymentResourcesConfig body = new AssignDeploymentResourcesConfig(new ResourceMetadata[]
+            {
+new ResourceMetadata("<azureResourceId>", "<customDomain>", "<region>")
+            });
+            Operation operation = await client.AssignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_AssignDeploymentResources_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                resourcesMetadata = new object[]
+            {
+new
+{
+azureResourceId = "<azureResourceId>",
+customDomain = "<customDomain>",
+region = "<region>",
+}
+            },
+            });
+            Operation operation = client.AssignDeploymentResources(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_AssignDeploymentResources_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                resourcesMetadata = new object[]
+            {
+new
+{
+azureResourceId = "<azureResourceId>",
+customDomain = "<customDomain>",
+region = "<region>",
+}
+            },
+            });
+            Operation operation = await client.AssignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_AssignDeploymentResources_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            AssignDeploymentResourcesConfig body = new AssignDeploymentResourcesConfig(new ResourceMetadata[]
+            {
+new ResourceMetadata("<azureResourceId>", "<customDomain>", "<region>")
+            });
+            Operation operation = client.AssignDeploymentResources(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_AssignDeploymentResources_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            AssignDeploymentResourcesConfig body = new AssignDeploymentResourcesConfig(new ResourceMetadata[]
+            {
+new ResourceMetadata("<azureResourceId>", "<customDomain>", "<region>")
+            });
+            Operation operation = await client.AssignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_UnassignDeploymentResources_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                assignedResourceIds = new object[]
+            {
+"<assignedResourceIds>"
+            },
+            });
+            Operation operation = client.UnassignDeploymentResources(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_UnassignDeploymentResources_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                assignedResourceIds = new object[]
+            {
+"<assignedResourceIds>"
+            },
+            });
+            Operation operation = await client.UnassignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_UnassignDeploymentResources_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            UnassignDeploymentResourcesConfig body = new UnassignDeploymentResourcesConfig(new string[] { "<assignedResourceIds>" });
+            Operation operation = client.UnassignDeploymentResources(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_UnassignDeploymentResources_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            UnassignDeploymentResourcesConfig body = new UnassignDeploymentResourcesConfig(new string[] { "<assignedResourceIds>" });
+            Operation operation = await client.UnassignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_UnassignDeploymentResources_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                assignedResourceIds = new object[]
+            {
+"<assignedResourceIds>"
+            },
+            });
+            Operation operation = client.UnassignDeploymentResources(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_UnassignDeploymentResources_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                assignedResourceIds = new object[]
+            {
+"<assignedResourceIds>"
+            },
+            });
+            Operation operation = await client.UnassignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_UnassignDeploymentResources_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            UnassignDeploymentResourcesConfig body = new UnassignDeploymentResourcesConfig(new string[] { "<assignedResourceIds>" });
+            Operation operation = client.UnassignDeploymentResources(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_UnassignDeploymentResources_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            UnassignDeploymentResourcesConfig body = new UnassignDeploymentResourcesConfig(new string[] { "<assignedResourceIds>" });
+            Operation operation = await client.UnassignDeploymentResourcesAsync(WaitUntil.Completed, "<projectName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_CancelTrainingJob_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation<BinaryData> operation = client.CancelTrainingJob(WaitUntil.Completed, "<projectName>", "<jobId>", null);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_CancelTrainingJob_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation<BinaryData> operation = await client.CancelTrainingJobAsync(WaitUntil.Completed, "<projectName>", "<jobId>", null);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_CancelTrainingJob_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation<TrainingJobResult> operation = client.CancelTrainingJob(WaitUntil.Completed, "<projectName>", "<jobId>");
+            TrainingJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_CancelTrainingJob_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation<TrainingJobResult> operation = await client.CancelTrainingJobAsync(WaitUntil.Completed, "<projectName>", "<jobId>");
+            TrainingJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_CancelTrainingJob_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation<BinaryData> operation = client.CancelTrainingJob(WaitUntil.Completed, "<projectName>", "<jobId>", null);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("trainingMode").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("estimatedEndDateTime").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_CancelTrainingJob_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation<BinaryData> operation = await client.CancelTrainingJobAsync(WaitUntil.Completed, "<projectName>", "<jobId>", null);
+            BinaryData responseData = operation.Value;
+
+            JsonElement result = JsonDocument.Parse(responseData.ToStream()).RootElement;
+            Console.WriteLine(result.GetProperty("modelLabel").ToString());
+            Console.WriteLine(result.GetProperty("trainingConfigVersion").ToString());
+            Console.WriteLine(result.GetProperty("trainingMode").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("trainingStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("percentComplete").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("startDateTime").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("endDateTime").ToString());
+            Console.WriteLine(result.GetProperty("evaluationStatus").GetProperty("status").ToString());
+            Console.WriteLine(result.GetProperty("estimatedEndDateTime").ToString());
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_CancelTrainingJob_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation<TrainingJobResult> operation = client.CancelTrainingJob(WaitUntil.Completed, "<projectName>", "<jobId>");
+            TrainingJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_CancelTrainingJob_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation<TrainingJobResult> operation = await client.CancelTrainingJobAsync(WaitUntil.Completed, "<projectName>", "<jobId>");
+            TrainingJobResult responseData = operation.Value;
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_DeleteExportedModel_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.DeleteExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_DeleteExportedModel_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.DeleteExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_DeleteExportedModel_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = client.DeleteExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_DeleteExportedModel_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            Operation operation = await client.DeleteExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>");
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_CreateOrUpdateExportedModel_ShortVersion()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                trainedModelLabel = "<trainedModelLabel>",
+            });
+            Operation operation = client.CreateOrUpdateExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_CreateOrUpdateExportedModel_ShortVersion_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                trainedModelLabel = "<trainedModelLabel>",
+            });
+            Operation operation = await client.CreateOrUpdateExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_CreateOrUpdateExportedModel_ShortVersion_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            ExportedModelConfig body = new ExportedModelConfig("<trainedModelLabel>");
+            Operation operation = client.CreateOrUpdateExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_CreateOrUpdateExportedModel_ShortVersion_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            ExportedModelConfig body = new ExportedModelConfig("<trainedModelLabel>");
+            Operation operation = await client.CreateOrUpdateExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_CreateOrUpdateExportedModel_AllParameters()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                trainedModelLabel = "<trainedModelLabel>",
+            });
+            Operation operation = client.CreateOrUpdateExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_CreateOrUpdateExportedModel_AllParameters_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            using RequestContent content = RequestContent.Create(new
+            {
+                trainedModelLabel = "<trainedModelLabel>",
+            });
+            Operation operation = await client.CreateOrUpdateExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>", content);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public void Example_ConversationalAnalysisAuthoring_CreateOrUpdateExportedModel_AllParameters_Convenience()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            ExportedModelConfig body = new ExportedModelConfig("<trainedModelLabel>");
+            Operation operation = client.CreateOrUpdateExportedModel(WaitUntil.Completed, "<projectName>", "<exportedModelName>", body);
+        }
+
+        [Test]
+        [Ignore("Only validating compilation of examples")]
+        public async Task Example_ConversationalAnalysisAuthoring_CreateOrUpdateExportedModel_AllParameters_Convenience_Async()
+        {
+            Uri endpoint = new Uri("<https://my-service.azure.com>");
+            AzureKeyCredential credential = new AzureKeyCredential("<key>");
+            ConversationalAnalysisAuthoring client = new ConversationsClient(endpoint, credential).GetConversationalAnalysisAuthoringClient(apiVersion: "2024-11-15-preview");
+
+            ExportedModelConfig body = new ExportedModelConfig("<trainedModelLabel>");
+            Operation operation = await client.CreateOrUpdateExportedModelAsync(WaitUntil.Completed, "<projectName>", "<exportedModelName>", body);
+        }
+    }
+}
diff --git a/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/tsp-location.yaml b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/tsp-location.yaml
new file mode 100644
index 000000000000..496f29b580e1
--- /dev/null
+++ b/sdk/cognitivelanguage/Azure.AI.Language.Authoring.Conversations/tsp-location.yaml
@@ -0,0 +1,4 @@
+directory: specification/cognitiveservices/Language.AnalyzeConversations-authoring
+commit: e95392a29798b02be1f02f45ea61fdf82533b39c
+repo: test-repo-billy/azure-rest-api-specs
+additionalDirectories: