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chore: Update discovery artifacts (#2641)
## Deleted keys were detected in the following stable discovery artifacts: paymentsresellersubscription v1 https://togithub.com/googleapis/google-api-python-client/commit/693a5733fd2c1b1474689515e79db8728136000f ## Discovery Artifact Change Summary: feat(admin): update the api https://togithub.com/googleapis/google-api-python-client/commit/d4f8a4404acd27048ce10f22ddb9947018c6b524 feat(aiplatform): update the api https://togithub.com/googleapis/google-api-python-client/commit/a48a595c231bdbe183ecec01fa63419526597a97 feat(alloydb): update the api https://togithub.com/googleapis/google-api-python-client/commit/4a2d6048b1dfb588990739aec87ed71fe6444167 feat(analyticshub): update the api https://togithub.com/googleapis/google-api-python-client/commit/29b8f22ff5b9fcc606593c41250c5b2415f29053 feat(androidpublisher): update the api https://togithub.com/googleapis/google-api-python-client/commit/c6811af8c3b11cec8cdaba085da9c7d664c17caf feat(apigee): update the api https://togithub.com/googleapis/google-api-python-client/commit/50535f80389dc4093e02842dc0ea7e30c14c1cd1 feat(backupdr): update the api https://togithub.com/googleapis/google-api-python-client/commit/87b73d44a6b0d4901b078f2ba88656355f59500d feat(bigtableadmin): update the api https://togithub.com/googleapis/google-api-python-client/commit/9965bad8b0d7f7cfce35cb4e9ae336c08b399b20 feat(cloudbuild): update the api https://togithub.com/googleapis/google-api-python-client/commit/9b6ae1d596d4388676f8bee0004b91c9ed4ce432 feat(cloudidentity): update the api https://togithub.com/googleapis/google-api-python-client/commit/2bd9d9a1baa64474582576f9994842a5b96f16c9 feat(cloudkms): update the api https://togithub.com/googleapis/google-api-python-client/commit/706356057c42c8a3939bb41422fa17e01e528f7e feat(cloudsupport): update the api https://togithub.com/googleapis/google-api-python-client/commit/38c4209338d9e81a75fd2254a5869fd4d024234e feat(compute): update the api https://togithub.com/googleapis/google-api-python-client/commit/34f2f0cea03bac9f172300dcc25ae64274560a8c feat(contactcenterinsights): update the api https://togithub.com/googleapis/google-api-python-client/commit/5d07a1d9f997e04b3c35d8e8257200279a97e2c3 feat(dialogflow): update the api https://togithub.com/googleapis/google-api-python-client/commit/07e8e9f9c798ab129aa94e416cccc220c1243ad5 feat(discoveryengine): update the api https://togithub.com/googleapis/google-api-python-client/commit/b311188b61bfa9595d4f1f7433dc4f4740948294 feat(displayvideo): update the api https://togithub.com/googleapis/google-api-python-client/commit/7e84e90366cbbdc55ed601e7a57e18d551fb4986 feat(file): update the api https://togithub.com/googleapis/google-api-python-client/commit/47c9b877bdb79afcf736a15b5034bb5c8e93dda8 feat(firebaseappdistribution): update the api https://togithub.com/googleapis/google-api-python-client/commit/570d7116d9e38f23825ff74a0b022a389e792eb2 feat(firebasedataconnect): update the api https://togithub.com/googleapis/google-api-python-client/commit/632f86fba1d7519abfc33e0b23b7f0d84d166fdf feat(firebaseml): update the api https://togithub.com/googleapis/google-api-python-client/commit/8d7c87f29071bb56efd818b53b8233c36371d3bd feat(managedkafka): update the api https://togithub.com/googleapis/google-api-python-client/commit/8ea30b6c4e40495b05eb39933a25092542ce4504 feat(merchantapi): update the api https://togithub.com/googleapis/google-api-python-client/commit/80dc8c969c24fedb1d76c8c1794c2e78d04d36e5 feat(mybusinessverifications): update the api https://togithub.com/googleapis/google-api-python-client/commit/9af0269bbcf95a967463f1714e885c766feb7a6c feat(networkservices): update the api https://togithub.com/googleapis/google-api-python-client/commit/9ba3d7eb9666e91931c3ef40522e3b864bddffeb feat(paymentsresellersubscription): update the api https://togithub.com/googleapis/google-api-python-client/commit/693a5733fd2c1b1474689515e79db8728136000f feat(redis): update the api https://togithub.com/googleapis/google-api-python-client/commit/b66abd75313a7e6076d41b7bb133330f9919f720 feat(run): update the api https://togithub.com/googleapis/google-api-python-client/commit/2c2848b42fb992047308ee8ee0f35b65edf633b3 feat(texttospeech): update the api https://togithub.com/googleapis/google-api-python-client/commit/2eb8b9996fe840123072a9aa6b1dd07bac63da40 feat(walletobjects): update the api https://togithub.com/googleapis/google-api-python-client/commit/54fed5571c6171c445b82fb1757d0f4f439bf939
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docs/dyn/admin_directory_v1.chromeosdevices.html

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&quot;updateTime&quot;: &quot;A String&quot;, # Date and time of the last successful OS update.
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},
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&quot;osVersion&quot;: &quot;A String&quot;, # The Chrome device&#x27;s operating system version.
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&quot;osVersionCompliance&quot;: &quot;A String&quot;, # Output only. Compliance status of the OS version.
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&quot;platformVersion&quot;: &quot;A String&quot;, # The Chrome device&#x27;s platform version.
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&quot;recentUsers&quot;: [ # A list of recent device users, in descending order, by last login time.
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{ # A list of recent device users, in descending order, by last login time.
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&quot;updateTime&quot;: &quot;A String&quot;, # Date and time of the last successful OS update.
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&quot;osVersion&quot;: &quot;A String&quot;, # The Chrome device&#x27;s operating system version.
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&quot;osVersionCompliance&quot;: &quot;A String&quot;, # Output only. Compliance status of the OS version.
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&quot;platformVersion&quot;: &quot;A String&quot;, # The Chrome device&#x27;s platform version.
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&quot;recentUsers&quot;: [ # A list of recent device users, in descending order, by last login time.
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{ # A list of recent device users, in descending order, by last login time.
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&quot;updateTime&quot;: &quot;A String&quot;, # Date and time of the last successful OS update.
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},
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&quot;osVersion&quot;: &quot;A String&quot;, # The Chrome device&#x27;s operating system version.
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&quot;osVersionCompliance&quot;: &quot;A String&quot;, # Output only. Compliance status of the OS version.
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&quot;platformVersion&quot;: &quot;A String&quot;, # The Chrome device&#x27;s platform version.
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&quot;recentUsers&quot;: [ # A list of recent device users, in descending order, by last login time.
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{ # A list of recent device users, in descending order, by last login time.
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&quot;updateTime&quot;: &quot;A String&quot;, # Date and time of the last successful OS update.
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},
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&quot;osVersion&quot;: &quot;A String&quot;, # The Chrome device&#x27;s operating system version.
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&quot;osVersionCompliance&quot;: &quot;A String&quot;, # Output only. Compliance status of the OS version.
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&quot;platformVersion&quot;: &quot;A String&quot;, # The Chrome device&#x27;s platform version.
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&quot;recentUsers&quot;: [ # A list of recent device users, in descending order, by last login time.
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{ # A list of recent device users, in descending order, by last login time.
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&quot;updateTime&quot;: &quot;A String&quot;, # Date and time of the last successful OS update.
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},
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&quot;osVersion&quot;: &quot;A String&quot;, # The Chrome device&#x27;s operating system version.
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&quot;osVersionCompliance&quot;: &quot;A String&quot;, # Output only. Compliance status of the OS version.
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&quot;platformVersion&quot;: &quot;A String&quot;, # The Chrome device&#x27;s platform version.
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&quot;recentUsers&quot;: [ # A list of recent device users, in descending order, by last login time.
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{ # A list of recent device users, in descending order, by last login time.
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&quot;updateTime&quot;: &quot;A String&quot;, # Date and time of the last successful OS update.
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},
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&quot;osVersion&quot;: &quot;A String&quot;, # The Chrome device&#x27;s operating system version.
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&quot;osVersionCompliance&quot;: &quot;A String&quot;, # Output only. Compliance status of the OS version.
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&quot;platformVersion&quot;: &quot;A String&quot;, # The Chrome device&#x27;s platform version.
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&quot;recentUsers&quot;: [ # A list of recent device users, in descending order, by last login time.
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{ # A list of recent device users, in descending order, by last login time.

docs/dyn/aiplatform_v1.endpoints.html

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&quot;labels&quot;: { # Optional. The labels with user-defined metadata for the request. It is used for billing and reporting only. Label keys and values can be no longer than 63 characters (Unicode codepoints) and can only contain lowercase letters, numeric characters, underscores, and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.
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&quot;a_key&quot;: &quot;A String&quot;,
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&quot;modelArmorConfig&quot;: { # Configuration for Model Armor integrations of prompt and responses. # Optional. Settings for prompt and response sanitization using the Model Armor service. If supplied, safety_settings must not be supplied.
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&quot;promptTemplateName&quot;: &quot;A String&quot;, # Optional. The name of the Model Armor template to use for prompt sanitization.
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&quot;responseTemplateName&quot;: &quot;A String&quot;, # Optional. The name of the Model Armor template to use for response sanitization.
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},
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&quot;safetySettings&quot;: [ # Optional. Per request settings for blocking unsafe content. Enforced on GenerateContentResponse.candidates.
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{ # Safety settings.
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&quot;category&quot;: &quot;A String&quot;, # Required. Harm category.
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&quot;uri&quot;: &quot;A String&quot;, # URI reference of the chunk.
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&quot;retrievedContext&quot;: { # Chunk from context retrieved by the retrieval tools. # Grounding chunk from context retrieved by the retrieval tools.
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&quot;documentName&quot;: &quot;A String&quot;, # Output only. The full document name for the referenced Vertex AI Search document.
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&quot;ragChunk&quot;: { # A RagChunk includes the content of a chunk of a RagFile, and associated metadata. # Additional context for the RAG retrieval result. This is only populated when using the RAG retrieval tool.
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&quot;pageSpan&quot;: { # Represents where the chunk starts and ends in the document. # If populated, represents where the chunk starts and ends in the document.
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&quot;firstPage&quot;: 42, # Page where chunk starts in the document. Inclusive. 1-indexed.
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&quot;labels&quot;: { # Optional. The labels with user-defined metadata for the request. It is used for billing and reporting only. Label keys and values can be no longer than 63 characters (Unicode codepoints) and can only contain lowercase letters, numeric characters, underscores, and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.
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&quot;a_key&quot;: &quot;A String&quot;,
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&quot;modelArmorConfig&quot;: { # Configuration for Model Armor integrations of prompt and responses. # Optional. Settings for prompt and response sanitization using the Model Armor service. If supplied, safety_settings must not be supplied.
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&quot;promptTemplateName&quot;: &quot;A String&quot;, # Optional. The name of the Model Armor template to use for prompt sanitization.
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&quot;responseTemplateName&quot;: &quot;A String&quot;, # Optional. The name of the Model Armor template to use for response sanitization.
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},
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&quot;safetySettings&quot;: [ # Optional. Per request settings for blocking unsafe content. Enforced on GenerateContentResponse.candidates.
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{ # Safety settings.
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&quot;category&quot;: &quot;A String&quot;, # Required. Harm category.
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&quot;uri&quot;: &quot;A String&quot;, # URI reference of the chunk.
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&quot;retrievedContext&quot;: { # Chunk from context retrieved by the retrieval tools. # Grounding chunk from context retrieved by the retrieval tools.
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&quot;documentName&quot;: &quot;A String&quot;, # Output only. The full document name for the referenced Vertex AI Search document.
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&quot;ragChunk&quot;: { # A RagChunk includes the content of a chunk of a RagFile, and associated metadata. # Additional context for the RAG retrieval result. This is only populated when using the RAG retrieval tool.
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&quot;pageSpan&quot;: { # Represents where the chunk starts and ends in the document. # If populated, represents where the chunk starts and ends in the document.
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&quot;firstPage&quot;: 42, # Page where chunk starts in the document. Inclusive. 1-indexed.

docs/dyn/aiplatform_v1.projects.locations.endpoints.html

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&quot;labels&quot;: { # Optional. The labels with user-defined metadata for the request. It is used for billing and reporting only. Label keys and values can be no longer than 63 characters (Unicode codepoints) and can only contain lowercase letters, numeric characters, underscores, and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.
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&quot;a_key&quot;: &quot;A String&quot;,
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&quot;modelArmorConfig&quot;: { # Configuration for Model Armor integrations of prompt and responses. # Optional. Settings for prompt and response sanitization using the Model Armor service. If supplied, safety_settings must not be supplied.
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&quot;promptTemplateName&quot;: &quot;A String&quot;, # Optional. The name of the Model Armor template to use for prompt sanitization.
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&quot;responseTemplateName&quot;: &quot;A String&quot;, # Optional. The name of the Model Armor template to use for response sanitization.
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},
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&quot;safetySettings&quot;: [ # Optional. Per request settings for blocking unsafe content. Enforced on GenerateContentResponse.candidates.
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&quot;retrievedContext&quot;: { # Chunk from context retrieved by the retrieval tools. # Grounding chunk from context retrieved by the retrieval tools.
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&quot;documentName&quot;: &quot;A String&quot;, # Output only. The full document name for the referenced Vertex AI Search document.
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&quot;ragChunk&quot;: { # A RagChunk includes the content of a chunk of a RagFile, and associated metadata. # Additional context for the RAG retrieval result. This is only populated when using the RAG retrieval tool.
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&quot;pageSpan&quot;: { # Represents where the chunk starts and ends in the document. # If populated, represents where the chunk starts and ends in the document.
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&quot;labels&quot;: { # Optional. The labels with user-defined metadata for the request. It is used for billing and reporting only. Label keys and values can be no longer than 63 characters (Unicode codepoints) and can only contain lowercase letters, numeric characters, underscores, and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.
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&quot;modelArmorConfig&quot;: { # Configuration for Model Armor integrations of prompt and responses. # Optional. Settings for prompt and response sanitization using the Model Armor service. If supplied, safety_settings must not be supplied.
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&quot;promptTemplateName&quot;: &quot;A String&quot;, # Optional. The name of the Model Armor template to use for prompt sanitization.
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&quot;responseTemplateName&quot;: &quot;A String&quot;, # Optional. The name of the Model Armor template to use for response sanitization.
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&quot;safetySettings&quot;: [ # Optional. Per request settings for blocking unsafe content. Enforced on GenerateContentResponse.candidates.
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&quot;uri&quot;: &quot;A String&quot;, # URI reference of the chunk.
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&quot;documentName&quot;: &quot;A String&quot;, # Output only. The full document name for the referenced Vertex AI Search document.
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&quot;ragChunk&quot;: { # A RagChunk includes the content of a chunk of a RagFile, and associated metadata. # Additional context for the RAG retrieval result. This is only populated when using the RAG retrieval tool.
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&quot;pageSpan&quot;: { # Represents where the chunk starts and ends in the document. # If populated, represents where the chunk starts and ends in the document.
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&quot;firstPage&quot;: 42, # Page where chunk starts in the document. Inclusive. 1-indexed.

docs/dyn/aiplatform_v1.projects.locations.html

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},
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&quot;endpointConfig&quot;: { # The endpoint config to use for the deployment. # Optional. The endpoint config to use for the deployment. If not specified, the default endpoint config will be used.
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&quot;dedicatedEndpointEnabled&quot;: True or False, # Optional. If true, the endpoint will be exposed through a dedicated DNS [Endpoint.dedicated_endpoint_dns]. Your request to the dedicated DNS will be isolated from other users&#x27; traffic and will have better performance and reliability. Note: Once you enabled dedicated endpoint, you won&#x27;t be able to send request to the shared DNS {region}-aiplatform.googleapis.com. The limitations will be removed soon.
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&quot;dedicatedEndpointDisabled&quot;: True or False, # Optional. By default, if dedicated endpoint is enabled, the endpoint will be exposed through a dedicated DNS [Endpoint.dedicated_endpoint_dns]. Your request to the dedicated DNS will be isolated from other users&#x27; traffic and will have better performance and reliability. Note: Once you enabled dedicated endpoint, you won&#x27;t be able to send request to the shared DNS {region}-aiplatform.googleapis.com. The limitations will be removed soon. If this field is set to true, the dedicated endpoint will be disabled and the deployed model will be exposed through the shared DNS {region}-aiplatform.googleapis.com.
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&quot;dedicatedEndpointEnabled&quot;: True or False, # Optional. Deprecated. Use dedicated_endpoint_disabled instead. If true, the endpoint will be exposed through a dedicated DNS [Endpoint.dedicated_endpoint_dns]. Your request to the dedicated DNS will be isolated from other users&#x27; traffic and will have better performance and reliability. Note: Once you enabled dedicated endpoint, you won&#x27;t be able to send request to the shared DNS {region}-aiplatform.googleapis.com. The limitations will be removed soon.
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&quot;endpointDisplayName&quot;: &quot;A String&quot;, # Optional. The user-specified display name of the endpoint. If not set, a default name will be used.
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&quot;endpointUserId&quot;: &quot;A String&quot;, # Optional. Immutable. The ID to use for endpoint, which will become the final component of the endpoint resource name. If not provided, Vertex AI will generate a value for this ID. If the first character is a letter, this value may be up to 63 characters, and valid characters are `[a-z0-9-]`. The last character must be a letter or number. If the first character is a number, this value may be up to 9 characters, and valid characters are `[0-9]` with no leading zeros. When using HTTP/JSON, this field is populated based on a query string argument, such as `?endpoint_id=12345`. This is the fallback for fields that are not included in either the URI or the body.
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&quot;huggingFaceModelId&quot;: &quot;A String&quot;, # The Hugging Face model to deploy. Format: Hugging Face model ID like `google/gemma-2-2b-it`.
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&quot;modelConfig&quot;: { # The model config to use for the deployment. # Optional. The model config to use for the deployment. If not specified, the default model config will be used.

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