test: Update OpenAI spec.

Author: HavenDV

specs/openai.yaml

@@ -177,7 +177,7 @@ partial void ProcessCreateSpeechResponseContent(
         /// Default Value: mp3
         /// </param>
         /// <param name="speed">
-        /// The speed of the generated audio. Select a value from `0.25` to `4.0`. `1.0` is the default.<br/>
+        /// The speed of the generated audio. Select a value from `0.25` to `4.0`. `1.0` is the default. Does not work with `gpt-4o-mini-tts`.<br/>
         /// Default Value: 1
         /// </param>
         /// <param name="cancellationToken">The token to cancel the operation with</param>

src/tests/AutoSDK.SnapshotTests/Snapshots/openai/NewtonsoftJson/_#G.AudioClient.CreateSpeech.g.verified.cs

@@ -116,6 +116,12 @@ partial void ProcessCreateTranscriptionResponseContent(
                 __httpRequestContent.Add(
                     content: new global::System.Net.Http.StringContent($"{request.Stream}"),
                     name: "stream");
+            } 
+            if (request.ChunkingStrategy != default)
+            {
+                __httpRequestContent.Add(
+                    content: new global::System.Net.Http.StringContent(request.ChunkingStrategy?.ToString() ?? string.Empty),
+                    name: "chunking_strategy");
             }
             __httpRequest.Content = __httpRequestContent;
 
@@ -257,6 +263,9 @@ partial void ProcessCreateTranscriptionResponseContent(
         /// Note: Streaming is not supported for the `whisper-1` model and will be ignored.<br/>
         /// Default Value: false
         /// </param>
+        /// <param name="chunkingStrategy">
+        /// Controls how the audio is cut into chunks. When set to `"auto"`, the server first normalizes loudness and then uses voice activity detection (VAD) to choose boundaries. `server_vad` object can be provided to tweak VAD detection parameters manually. If unset, the audio is transcribed as a single block. 
+        /// </param>
         /// <param name="cancellationToken">The token to cancel the operation with</param>
         /// <exception cref="global::System.InvalidOperationException"></exception>
         public async global::System.Threading.Tasks.Task<global::G.OneOf<global::G.CreateTranscriptionResponseJson, global::G.CreateTranscriptionResponseVerboseJson>> CreateTranscriptionAsync(
@@ -270,6 +279,7 @@ partial void ProcessCreateTranscriptionResponseContent(
             global::System.Collections.Generic.IList<global::G.TranscriptionInclude>? include = default,
             global::System.Collections.Generic.IList<global::G.CreateTranscriptionRequestTimestampGranularitie>? timestampGranularities = default,
             bool? stream = default,
+            global::G.AnyOf<global::G.CreateTranscriptionRequestChunkingStrategy?, global::G.VadConfig>? chunkingStrategy = default,
             global::System.Threading.CancellationToken cancellationToken = default)
         {
             var __request = new global::G.CreateTranscriptionRequest
@@ -284,6 +294,7 @@ partial void ProcessCreateTranscriptionResponseContent(
                 Include = include,
                 TimestampGranularities = timestampGranularities,
                 Stream = stream,
+                ChunkingStrategy = chunkingStrategy,
             };
 
             return await CreateTranscriptionAsync(

src/tests/AutoSDK.SnapshotTests/Snapshots/openai/NewtonsoftJson/_#G.AudioClient.CreateTranscription.g.verified.cs

@@ -25,8 +25,8 @@ partial void ProcessDeactivateProjectCertificatesResponseContent(
             ref string content);
 
         /// <summary>
-        /// Deactivate certificates at the project level.<br/>
-        /// You can atomically and idempotently deactivate up to 10 certificates at a time.
+        /// Deactivate certificates at the project level. You can atomically and <br/>
+        /// idempotently deactivate up to 10 certificates at a time.
         /// </summary>
         /// <param name="projectId"></param>
         /// <param name="request"></param>
@@ -174,8 +174,8 @@ partial void ProcessDeactivateProjectCertificatesResponseContent(
         }
 
         /// <summary>
-        /// Deactivate certificates at the project level.<br/>
-        /// You can atomically and idempotently deactivate up to 10 certificates at a time.
+        /// Deactivate certificates at the project level. You can atomically and <br/>
+        /// idempotently deactivate up to 10 certificates at a time.
         /// </summary>
         /// <param name="projectId"></param>
         /// <param name="certificateIds"></param>

src/tests/AutoSDK.SnapshotTests/Snapshots/openai/NewtonsoftJson/_#G.CertificatesClient.DeactivateProjectCertificates.g.verified.cs

@@ -8,15 +8,13 @@ public partial class CertificatesClient
     {
         partial void PrepareGetCertificateArguments(
             global::System.Net.Http.HttpClient httpClient,
-            ref string certId,
-            global::System.Collections.Generic.IList<global::G.GetCertificateIncludeItem>? include,
-            ref string certificateId);
+            ref string certificateId,
+            global::System.Collections.Generic.IList<global::G.GetCertificateIncludeItem>? include);
         partial void PrepareGetCertificateRequest(
             global::System.Net.Http.HttpClient httpClient,
             global::System.Net.Http.HttpRequestMessage httpRequestMessage,
-            string certId,
-            global::System.Collections.Generic.IList<global::G.GetCertificateIncludeItem>? include,
-            string certificateId);
+            string certificateId,
+            global::System.Collections.Generic.IList<global::G.GetCertificateIncludeItem>? include);
         partial void ProcessGetCertificateResponse(
             global::System.Net.Http.HttpClient httpClient,
             global::System.Net.Http.HttpResponseMessage httpResponseMessage);
@@ -30,13 +28,11 @@ partial void ProcessGetCertificateResponseContent(
         /// Get a certificate that has been uploaded to the organization.<br/>
         /// You can get a certificate regardless of whether it is active or not.
         /// </summary>
-        /// <param name="certId"></param>
-        /// <param name="include"></param>
         /// <param name="certificateId"></param>
+        /// <param name="include"></param>
         /// <param name="cancellationToken">The token to cancel the operation with</param>
         /// <exception cref="global::G.ApiException"></exception>
         public async global::System.Threading.Tasks.Task<global::G.Certificate> GetCertificateAsync(
-            string certId,
             string certificateId,
             global::System.Collections.Generic.IList<global::G.GetCertificateIncludeItem>? include = default,
             global::System.Threading.CancellationToken cancellationToken = default)
@@ -45,9 +41,8 @@ partial void ProcessGetCertificateResponseContent(
                 client: HttpClient);
             PrepareGetCertificateArguments(
                 httpClient: HttpClient,
-                certId: ref certId,
-                include: include,
-                certificateId: ref certificateId);
+                certificateId: ref certificateId,
+                include: include);
 
             var __pathBuilder = new global::G.PathBuilder(
                 path: $"/organization/certificates/{certificateId}",
@@ -86,9 +81,8 @@ partial void ProcessGetCertificateResponseContent(
             PrepareGetCertificateRequest(
                 httpClient: HttpClient,
                 httpRequestMessage: __httpRequest,
-                certId: certId,
-                include: include,
-                certificateId: certificateId);
+                certificateId: certificateId,
+                include: include);
 
             using var __response = await HttpClient.SendAsync(
                 request: __httpRequest,

src/tests/AutoSDK.SnapshotTests/Snapshots/openai/NewtonsoftJson/_#G.CertificatesClient.GetCertificate.g.verified.cs

@@ -8,17 +8,17 @@ public partial class CertificatesClient
     {
         partial void PrepareListProjectCertificatesArguments(
             global::System.Net.Http.HttpClient httpClient,
+            ref string projectId,
             ref int? limit,
             ref string? after,
-            ref global::G.ListProjectCertificatesOrder? order,
-            ref string projectId);
+            ref global::G.ListProjectCertificatesOrder? order);
         partial void PrepareListProjectCertificatesRequest(
             global::System.Net.Http.HttpClient httpClient,
             global::System.Net.Http.HttpRequestMessage httpRequestMessage,
+            string projectId,
             int? limit,
             string? after,
-            global::G.ListProjectCertificatesOrder? order,
-            string projectId);
+            global::G.ListProjectCertificatesOrder? order);
         partial void ProcessListProjectCertificatesResponse(
             global::System.Net.Http.HttpClient httpClient,
             global::System.Net.Http.HttpResponseMessage httpResponseMessage);
@@ -31,14 +31,14 @@ partial void ProcessListProjectCertificatesResponseContent(
         /// <summary>
         /// List certificates for this project.
         /// </summary>
+        /// <param name="projectId"></param>
         /// <param name="limit">
         /// Default Value: 20
         /// </param>
         /// <param name="after"></param>
         /// <param name="order">
         /// Default Value: desc
         /// </param>
-        /// <param name="projectId"></param>
         /// <param name="cancellationToken">The token to cancel the operation with</param>
         /// <exception cref="global::G.ApiException"></exception>
         public async global::System.Threading.Tasks.Task<global::G.ListCertificatesResponse> ListProjectCertificatesAsync(
@@ -52,10 +52,10 @@ partial void ProcessListProjectCertificatesResponseContent(
                 client: HttpClient);
             PrepareListProjectCertificatesArguments(
                 httpClient: HttpClient,
+                projectId: ref projectId,
                 limit: ref limit,
                 after: ref after,
-                order: ref order,
-                projectId: ref projectId);
+                order: ref order);
 
             var orderValue = order switch
             {
@@ -102,10 +102,10 @@ partial void ProcessListProjectCertificatesResponseContent(
             PrepareListProjectCertificatesRequest(
                 httpClient: HttpClient,
                 httpRequestMessage: __httpRequest,
+                projectId: projectId,
                 limit: limit,
                 after: after,
-                order: order,
-                projectId: projectId);
+                order: order);
 
             using var __response = await HttpClient.SendAsync(
                 request: __httpRequest,

src/tests/AutoSDK.SnapshotTests/Snapshots/openai/NewtonsoftJson/_#G.CertificatesClient.ListProjectCertificates.g.verified.cs

@@ -170,7 +170,7 @@ partial void ProcessCreateEmbeddingResponseContent(
         /// Creates an embedding vector representing the input text.
         /// </summary>
         /// <param name="input">
-        /// Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048 dimensions or less. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens. Some models may also impose a limit on total number of tokens summed across inputs.<br/>
+        /// Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for all embedding models), cannot be an empty string, and any array must be 2048 dimensions or less. [Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken) for counting tokens. In addition to the per-input token limit, all embedding  models enforce a maximum of 300,000 tokens summed across all inputs in a  single request.<br/>
         /// Example: The quick brown fox jumped over the lazy dog
         /// </param>
         /// <param name="model">

src/tests/AutoSDK.SnapshotTests/Snapshots/openai/NewtonsoftJson/_#G.EmbeddingsClient.CreateEmbedding.g.verified.cs

@@ -24,7 +24,7 @@ partial void ProcessCreateEvalResponseContent(
 
         /// <summary>
         /// Create the structure of an evaluation that can be used to test a model's performance.<br/>
-        /// An evaluation is a set of testing criteria and a datasource. After creating an evaluation, you can run it on different models and model parameters. We support several types of graders and datasources.<br/>
+        /// An evaluation is a set of testing criteria and the config for a data source, which dictates the schema of the data used in the evaluation. After creating an evaluation, you can run it on different models and model parameters. We support several types of graders and datasources.<br/>
         /// For more information, see the [Evals guide](/docs/guides/evals).
         /// </summary>
         /// <param name="request"></param>
@@ -170,7 +170,7 @@ partial void ProcessCreateEvalResponseContent(
 
         /// <summary>
         /// Create the structure of an evaluation that can be used to test a model's performance.<br/>
-        /// An evaluation is a set of testing criteria and a datasource. After creating an evaluation, you can run it on different models and model parameters. We support several types of graders and datasources.<br/>
+        /// An evaluation is a set of testing criteria and the config for a data source, which dictates the schema of the data used in the evaluation. After creating an evaluation, you can run it on different models and model parameters. We support several types of graders and datasources.<br/>
         /// For more information, see the [Evals guide](/docs/guides/evals).
         /// </summary>
         /// <param name="name">
@@ -184,16 +184,16 @@ partial void ProcessCreateEvalResponseContent(
         /// with a maximum length of 512 characters.
         /// </param>
         /// <param name="dataSourceConfig">
-        /// The configuration for the data source used for the evaluation runs.
+        /// The configuration for the data source used for the evaluation runs. Dictates the schema of the data used in the evaluation.
         /// </param>
         /// <param name="testingCriteria">
-        /// A list of graders for all eval runs in this group.
+        /// A list of graders for all eval runs in this group. Graders can reference variables in the data source using double curly braces notation, like `{{item.variable_name}}`. To reference the model's output, use the `sample` namespace (ie, `{{sample.output_text}}`).
         /// </param>
         /// <param name="cancellationToken">The token to cancel the operation with</param>
         /// <exception cref="global::System.InvalidOperationException"></exception>
         public async global::System.Threading.Tasks.Task<global::G.Eval> CreateEvalAsync(
-            global::G.OneOf<global::G.CreateEvalCustomDataSourceConfig, global::G.CreateEvalLogsDataSourceConfig> dataSourceConfig,
-            global::System.Collections.Generic.IList<global::G.OneOf<global::G.CreateEvalLabelModelGrader, global::G.EvalStringCheckGrader, global::G.EvalTextSimilarityGrader, global::G.EvalPythonGrader, global::G.EvalScoreModelGrader>> testingCriteria,
+            global::G.OneOf<global::G.CreateEvalCustomDataSourceConfig, global::G.CreateEvalLogsDataSourceConfig, global::G.CreateEvalStoredCompletionsDataSourceConfig> dataSourceConfig,
+            global::System.Collections.Generic.IList<global::G.OneOf<global::G.CreateEvalLabelModelGrader, global::G.EvalGraderStringCheck?, global::G.EvalGraderTextSimilarity?, global::G.EvalGraderPython?, global::G.EvalGraderScoreModel?>> testingCriteria,
             string? name = default,
             global::System.Collections.Generic.Dictionary<string, string>? metadata = default,
             global::System.Threading.CancellationToken cancellationToken = default)

src/tests/AutoSDK.SnapshotTests/Snapshots/openai/NewtonsoftJson/_#G.EvalsClient.CreateEval.g.verified.cs

@@ -25,7 +25,7 @@ partial void ProcessCreateEvalRunResponseContent(
             ref string content);
 
         /// <summary>
-        /// Create a new evaluation run. This is the endpoint that will kick off grading.
+        /// Kicks off a new run for a given evaluation, specifying the data source, and what model configuration to use to test. The datasource will be validated against the schema specified in the config of the evaluation.
         /// </summary>
         /// <param name="evalId"></param>
         /// <param name="request"></param>
@@ -210,7 +210,7 @@ partial void ProcessCreateEvalRunResponseContent(
         }
 
         /// <summary>
-        /// Create a new evaluation run. This is the endpoint that will kick off grading.
+        /// Kicks off a new run for a given evaluation, specifying the data source, and what model configuration to use to test. The datasource will be validated against the schema specified in the config of the evaluation.
         /// </summary>
         /// <param name="evalId"></param>
         /// <param name="name">

src/tests/AutoSDK.SnapshotTests/Snapshots/openai/NewtonsoftJson/_#G.EvalsClient.CreateEvalRun.g.verified.cs

@@ -25,7 +25,7 @@ partial void ProcessCreateFineTuningJobResponseContent(
         /// <summary>
         /// Creates a fine-tuning job which begins the process of creating a new model from a given dataset.<br/>
         /// Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete.<br/>
-        /// [Learn more about fine-tuning](/docs/guides/fine-tuning)
+        /// [Learn more about fine-tuning](/docs/guides/model-optimization)
         /// </summary>
         /// <param name="request"></param>
         /// <param name="cancellationToken">The token to cancel the operation with</param>
@@ -171,7 +171,7 @@ partial void ProcessCreateFineTuningJobResponseContent(
         /// <summary>
         /// Creates a fine-tuning job which begins the process of creating a new model from a given dataset.<br/>
         /// Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete.<br/>
-        /// [Learn more about fine-tuning](/docs/guides/fine-tuning)
+        /// [Learn more about fine-tuning](/docs/guides/model-optimization)
         /// </summary>
         /// <param name="model">
         /// The name of the model to fine-tune. You can select one of the<br/>
@@ -183,7 +183,7 @@ partial void ProcessCreateFineTuningJobResponseContent(
         /// See [upload file](/docs/api-reference/files/create) for how to upload a file.<br/>
         /// Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose `fine-tune`.<br/>
         /// The contents of the file should differ depending on if the model uses the [chat](/docs/api-reference/fine-tuning/chat-input), [completions](/docs/api-reference/fine-tuning/completions-input) format, or if the fine-tuning method uses the [preference](/docs/api-reference/fine-tuning/preference-input) format.<br/>
-        /// See the [fine-tuning guide](/docs/guides/fine-tuning) for more details.<br/>
+        /// See the [fine-tuning guide](/docs/guides/model-optimization) for more details.<br/>
         /// Example: file-abc123
         /// </param>
         /// <param name="suffix">
@@ -197,7 +197,7 @@ partial void ProcessCreateFineTuningJobResponseContent(
         /// the fine-tuning results file.<br/>
         /// The same data should not be present in both train and validation files.<br/>
         /// Your dataset must be formatted as a JSONL file. You must upload your file with the purpose `fine-tune`.<br/>
-        /// See the [fine-tuning guide](/docs/guides/fine-tuning) for more details.<br/>
+        /// See the [fine-tuning guide](/docs/guides/model-optimization) for more details.<br/>
         /// Example: file-abc123
         /// </param>
         /// <param name="integrations">