feat(aiplatform): update the api

#### aiplatform:v1 The following keys were deleted: - schemas.CloudAiLargeModelsVisionEmbedVideoResponse (Total Keys: 4) - schemas.CloudAiLargeModelsVisionMediaGenerateContentResponse (Total Keys: 3) - schemas.CloudAiLargeModelsVisionReasonVideoResponse (Total Keys: 8) - schemas.CloudAiLargeModelsVisionRelativeTemporalPartition (Total Keys: 6) - schemas.CloudAiNlLlmProtoServiceCandidate (Total Keys: 11) - schemas.CloudAiNlLlmProtoServiceCitation (Total Keys: 13) - schemas.CloudAiNlLlmProtoServiceContent (Total Keys: 5) - schemas.CloudAiNlLlmProtoServiceFact (Total Keys: 4) - schemas.CloudAiNlLlmProtoServiceFunctionCall (Total Keys: 5) - schemas.CloudAiNlLlmProtoServiceFunctionResponse (Total Keys: 5) - schemas.CloudAiNlLlmProtoServiceGenerateMultiModalResponse (Total Keys: 10) - schemas.CloudAiNlLlmProtoServiceMessageMetadata (Total Keys: 7) - schemas.CloudAiNlLlmProtoServicePart (Total Keys: 32) - schemas.CloudAiNlLlmProtoServicePromptFeedback (Total Keys: 6) - schemas.CloudAiNlLlmProtoServiceRaiResult (Total Keys: 17) - schemas.CloudAiNlLlmProtoServiceRaiSignal (Total Keys: 17) - schemas.CloudAiNlLlmProtoServiceSafetyRating (Total Keys: 20) - schemas.CloudAiNlLlmProtoServiceUsageMetadata (Total Keys: 8) - schemas.IntelligenceCloudAutomlXpsMetricEntry (Total Keys: 14) - schemas.IntelligenceCloudAutomlXpsReportingMetrics (Total Keys: 7) - schemas.LanguageLabsAidaTrustRecitationProtoDocAttribution (Total Keys: 29) - schemas.LanguageLabsAidaTrustRecitationProtoRecitationResult (Total Keys: 7) - schemas.LanguageLabsAidaTrustRecitationProtoSegmentResult (Total Keys: 14) - schemas.LanguageLabsAidaTrustRecitationProtoStreamRecitationResult (Total Keys: 9) - schemas.LearningGenaiRecitationDocAttribution (Total Keys: 28) - schemas.LearningGenaiRecitationRecitationResult (Total Keys: 7) - schemas.LearningGenaiRecitationSegmentResult (Total Keys: 14) - schemas.LearningGenaiRootCalculationType (Total Keys: 5) - schemas.LearningGenaiRootClassifierOutput (Total Keys: 15) - schemas.LearningGenaiRootClassifierState (Total Keys: 6) - schemas.LearningGenaiRootCodeyChatMetadata (Total Keys: 3) - schemas.LearningGenaiRootCodeyCheckpoint (Total Keys: 5) - schemas.LearningGenaiRootCodeyCompletionMetadata (Total Keys: 4) - schemas.LearningGenaiRootCodeyGenerationMetadata (Total Keys: 4) - schemas.LearningGenaiRootCodeyOutput (Total Keys: 5) - schemas.LearningGenaiRootCodeyTruncatorMetadata (Total Keys: 5) - schemas.LearningGenaiRootControlDecodingConfigThreshold (Total Keys: 5) - schemas.LearningGenaiRootControlDecodingRecord (Total Keys: 17) - schemas.LearningGenaiRootDataProviderOutput (Total Keys: 4) - schemas.LearningGenaiRootFilterMetadata (Total Keys: 23) - schemas.LearningGenaiRootGroundingMetadata (Total Keys: 17) - schemas.LearningGenaiRootHarm (Total Keys: 39) - schemas.LearningGenaiRootInternalMetadata (Total Keys: 4) - schemas.LearningGenaiRootLanguageFilterResult (Total Keys: 6) - schemas.LearningGenaiRootMetricOutput (Total Keys: 8) - schemas.LearningGenaiRootPerRequestProcessorDebugMetadataFactualityDebugMetadata (Total Keys: 7) - schemas.LearningGenaiRootRAIOutput (Total Keys: 7) - schemas.LearningGenaiRootRegexTakedownResult (Total Keys: 4) - schemas.LearningGenaiRootRequestResponseTakedownResult (Total Keys: 5) - schemas.LearningGenaiRootRoutingDecision (Total Keys: 33) - schemas.LearningGenaiRootRuleOutput (Total Keys: 4) - schemas.LearningGenaiRootScore (Total Keys: 25) - schemas.LearningGenaiRootSimilarityTakedownPhrase (Total Keys: 3) - schemas.LearningGenaiRootSimilarityTakedownResult (Total Keys: 5) - schemas.LearningGenaiRootTakedownResult (Total Keys: 6) - schemas.LearningGenaiRootThresholdType (Total Keys: 5) - schemas.LearningGenaiRootTokensAndLogProbPerDecodingStep (Total Keys: 15) - schemas.LearningGenaiRootToxicityResult (Total Keys: 4) - schemas.LearningGenaiRootToxicitySignal (Total Keys: 6) - schemas.LearningGenaiRootTranslationRequestInfo (Total Keys: 6) - schemas.LearningServingLlmAtlasOutputMetadata (Total Keys: 4) - schemas.LearningServingLlmMessageMetadata (Total Keys: 38) - schemas.NlpSaftLangIdLocalesResult (Total Keys: 7) - schemas.NlpSaftLangIdResult (Total Keys: 7) - schemas.NlpSaftLanguageSpan (Total Keys: 16) - schemas.Proto2BridgeMessageSet (Total Keys: 2) - schemas.UtilStatusProto (Total Keys: 9) The following keys were added: - resources.projects.resources.locations.resources.datasets.resources.datasetVersions.methods.patch (Total Keys: 15) - schemas.GoogleCloudAiplatformV1Dataset.properties.modelReference.type (Total Keys: 1) - schemas.GoogleCloudAiplatformV1DatasetVersion.properties.modelReference (Total Keys: 2) - schemas.GoogleCloudAiplatformV1GenerationConfig.properties.responseStyle.type (Total Keys: 1) - schemas.GoogleCloudAiplatformV1NearestNeighborSearchOperationMetadataContentValidationStats.properties.invalidSparseRecordCount (Total Keys: 2) - schemas.GoogleCloudAiplatformV1NearestNeighborSearchOperationMetadataContentValidationStats.properties.validSparseRecordCount (Total Keys: 2) - schemas.GoogleCloudAiplatformV1NotebookRuntime.properties.satisfiesPzi (Total Keys: 2) - schemas.GoogleCloudAiplatformV1NotebookRuntime.properties.satisfiesPzs (Total Keys: 2) - schemas.GoogleCloudAiplatformV1TuningJob.properties.encryptionSpec.$ref (Total Keys: 1) #### aiplatform:v1beta1 The following keys were deleted: - schemas.CloudAiLargeModelsVisionEmbedVideoResponse (Total Keys: 4) - schemas.CloudAiLargeModelsVisionMediaGenerateContentResponse (Total Keys: 3) - schemas.CloudAiLargeModelsVisionReasonVideoResponse (Total Keys: 8) - schemas.CloudAiLargeModelsVisionRelativeTemporalPartition (Total Keys: 6) - schemas.CloudAiNlLlmProtoServiceCandidate (Total Keys: 11) - schemas.CloudAiNlLlmProtoServiceCitation (Total Keys: 13) - schemas.CloudAiNlLlmProtoServiceContent (Total Keys: 5) - schemas.CloudAiNlLlmProtoServiceFact (Total Keys: 4) - schemas.CloudAiNlLlmProtoServiceFunctionCall (Total Keys: 5) - schemas.CloudAiNlLlmProtoServiceFunctionResponse (Total Keys: 5) - schemas.CloudAiNlLlmProtoServiceGenerateMultiModalResponse (Total Keys: 10) - schemas.CloudAiNlLlmProtoServiceMessageMetadata (Total Keys: 7) - schemas.CloudAiNlLlmProtoServicePart (Total Keys: 32) - schemas.CloudAiNlLlmProtoServicePromptFeedback (Total Keys: 6) - schemas.CloudAiNlLlmProtoServiceRaiResult (Total Keys: 17) - schemas.CloudAiNlLlmProtoServiceRaiSignal (Total Keys: 17) - schemas.CloudAiNlLlmProtoServiceSafetyRating (Total Keys: 20) - schemas.CloudAiNlLlmProtoServiceUsageMetadata (Total Keys: 8) - schemas.IntelligenceCloudAutomlXpsMetricEntry (Total Keys: 14) - schemas.IntelligenceCloudAutomlXpsReportingMetrics (Total Keys: 7) - schemas.LanguageLabsAidaTrustRecitationProtoDocAttribution (Total Keys: 29) - schemas.LanguageLabsAidaTrustRecitationProtoRecitationResult (Total Keys: 7) - schemas.LanguageLabsAidaTrustRecitationProtoSegmentResult (Total Keys: 14) - schemas.LanguageLabsAidaTrustRecitationProtoStreamRecitationResult (Total Keys: 9) - schemas.LearningGenaiRecitationDocAttribution (Total Keys: 28) - schemas.LearningGenaiRecitationRecitationResult (Total Keys: 7) - schemas.LearningGenaiRecitationSegmentResult (Total Keys: 14) - schemas.LearningGenaiRootCalculationType (Total Keys: 5) - schemas.LearningGenaiRootClassifierOutput (Total Keys: 15) - schemas.LearningGenaiRootClassifierState (Total Keys: 6) - schemas.LearningGenaiRootCodeyChatMetadata (Total Keys: 3) - schemas.LearningGenaiRootCodeyCheckpoint (Total Keys: 5) - schemas.LearningGenaiRootCodeyCompletionMetadata (Total Keys: 4) - schemas.LearningGenaiRootCodeyGenerationMetadata (Total Keys: 4) - schemas.LearningGenaiRootCodeyOutput (Total Keys: 5) - schemas.LearningGenaiRootCodeyTruncatorMetadata (Total Keys: 5) - schemas.LearningGenaiRootControlDecodingConfigThreshold (Total Keys: 5) - schemas.LearningGenaiRootControlDecodingRecord (Total Keys: 17) - schemas.LearningGenaiRootDataProviderOutput (Total Keys: 4) - schemas.LearningGenaiRootFilterMetadata (Total Keys: 23) - schemas.LearningGenaiRootGroundingMetadata (Total Keys: 17) - schemas.LearningGenaiRootHarm (Total Keys: 39) - schemas.LearningGenaiRootInternalMetadata (Total Keys: 4) - schemas.LearningGenaiRootLanguageFilterResult (Total Keys: 6) - schemas.LearningGenaiRootMetricOutput (Total Keys: 8) - schemas.LearningGenaiRootPerRequestProcessorDebugMetadataFactualityDebugMetadata (Total Keys: 7) - schemas.LearningGenaiRootRAIOutput (Total Keys: 7) - schemas.LearningGenaiRootRegexTakedownResult (Total Keys: 4) - schemas.LearningGenaiRootRequestResponseTakedownResult (Total Keys: 5) - schemas.LearningGenaiRootRoutingDecision (Total Keys: 33) - schemas.LearningGenaiRootRuleOutput (Total Keys: 4) - schemas.LearningGenaiRootScore (Total Keys: 25) - schemas.LearningGenaiRootSimilarityTakedownPhrase (Total Keys: 3) - schemas.LearningGenaiRootSimilarityTakedownResult (Total Keys: 5) - schemas.LearningGenaiRootTakedownResult (Total Keys: 6) - schemas.LearningGenaiRootThresholdType (Total Keys: 5) - schemas.LearningGenaiRootTokensAndLogProbPerDecodingStep (Total Keys: 15) - schemas.LearningGenaiRootToxicityResult (Total Keys: 4) - schemas.LearningGenaiRootToxicitySignal (Total Keys: 6) - schemas.LearningGenaiRootTranslationRequestInfo (Total Keys: 6) - schemas.LearningServingLlmAtlasOutputMetadata (Total Keys: 4) - schemas.LearningServingLlmMessageMetadata (Total Keys: 38) - schemas.NlpSaftLangIdLocalesResult (Total Keys: 7) - schemas.NlpSaftLangIdResult (Total Keys: 7) - schemas.NlpSaftLanguageSpan (Total Keys: 16) - schemas.Proto2BridgeMessageSet (Total Keys: 2) - schemas.UtilStatusProto (Total Keys: 9) The following keys were added: - resources.projects.resources.locations.resources.datasets.resources.datasetVersions.methods.patch (Total Keys: 15) - resources.projects.resources.locations.resources.tuningJobs.methods.cancel (Total Keys: 12) - resources.projects.resources.locations.resources.tuningJobs.methods.create (Total Keys: 12) - resources.projects.resources.locations.resources.tuningJobs.methods.get (Total Keys: 11) - resources.projects.resources.locations.resources.tuningJobs.methods.list (Total Keys: 18) - schemas.GoogleCloudAiplatformV1beta1CancelTuningJobRequest (Total Keys: 2) - schemas.GoogleCloudAiplatformV1beta1Dataset.properties.modelReference.type (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1DatasetVersion.properties.modelReference (Total Keys: 2) - schemas.GoogleCloudAiplatformV1beta1GenerationConfig.properties.responseStyle.type (Total Keys: 1) - schemas.GoogleCloudAiplatformV1beta1ListTuningJobsResponse (Total Keys: 5) - schemas.GoogleCloudAiplatformV1beta1NearestNeighborSearchOperationMetadataContentValidationStats.properties.invalidSparseRecordCount (Total Keys: 2) - schemas.GoogleCloudAiplatformV1beta1NearestNeighborSearchOperationMetadataContentValidationStats.properties.validSparseRecordCount (Total Keys: 2) - schemas.GoogleCloudAiplatformV1beta1NotebookExecutionJob.properties.labels (Total Keys: 2) - schemas.GoogleCloudAiplatformV1beta1NotebookRuntime.properties.satisfiesPzi (Total Keys: 2) - schemas.GoogleCloudAiplatformV1beta1NotebookRuntime.properties.satisfiesPzs (Total Keys: 2) - schemas.GoogleCloudAiplatformV1beta1SupervisedHyperParameters (Total Keys: 7) - schemas.GoogleCloudAiplatformV1beta1SupervisedTuningDataStats (Total Keys: 23) - schemas.GoogleCloudAiplatformV1beta1SupervisedTuningDatasetDistribution (Total Keys: 37) - schemas.GoogleCloudAiplatformV1beta1SupervisedTuningSpec (Total Keys: 5) - schemas.GoogleCloudAiplatformV1beta1TunedModel (Total Keys: 6) - schemas.GoogleCloudAiplatformV1beta1TuningDataStats (Total Keys: 3) - schemas.GoogleCloudAiplatformV1beta1TuningJob (Total Keys: 32) - schemas.GoogleCloudAiplatformV1beta1VertexRagStore.properties.ragCorpora.deprecated (Total Keys: 1)
googleapis · May 10, 2024 · 524e759 · 524e759
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commit 524e759
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Showing 23 changed files with 4,912 additions and 15,422 deletions.
diff --git a/docs/dyn/aiplatform_v1.projects.locations.datasets.datasetVersions.html b/docs/dyn/aiplatform_v1.projects.locations.datasets.datasetVersions.html
@@ -92,6 +92,9 @@ <h2>Instance Methods</h2>
 <p class="toc_element">
   <code><a href="#list_next">list_next()</a></code></p>
 <p class="firstline">Retrieves the next page of results.</p>
+<p class="toc_element">
+  <code><a href="#patch">patch(name, body=None, updateMask=None, x__xgafv=None)</a></code></p>
+<p class="firstline">Updates a DatasetVersion.</p>
 <p class="toc_element">
   <code><a href="#restore">restore(name, x__xgafv=None)</a></code></p>
 <p class="firstline">Restores a dataset version.</p>
@@ -116,6 +119,7 @@ <h3>Method Details</h3>
   &quot;displayName&quot;: &quot;A String&quot;, # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters.
   &quot;etag&quot;: &quot;A String&quot;, # Used to perform consistent read-modify-write updates. If not set, a blind &quot;overwrite&quot; update happens.
   &quot;metadata&quot;: &quot;&quot;, # Required. Output only. Additional information about the DatasetVersion.
+  &quot;modelReference&quot;: &quot;A String&quot;, # Output only. Reference to the public base model last used by the dataset version. Only set for prompt dataset versions.
   &quot;name&quot;: &quot;A String&quot;, # Output only. The resource name of the DatasetVersion.
   &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this DatasetVersion was last updated.
 }
@@ -205,6 +209,7 @@ <h3>Method Details</h3>
   &quot;displayName&quot;: &quot;A String&quot;, # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters.
   &quot;etag&quot;: &quot;A String&quot;, # Used to perform consistent read-modify-write updates. If not set, a blind &quot;overwrite&quot; update happens.
   &quot;metadata&quot;: &quot;&quot;, # Required. Output only. Additional information about the DatasetVersion.
+  &quot;modelReference&quot;: &quot;A String&quot;, # Output only. Reference to the public base model last used by the dataset version. Only set for prompt dataset versions.
   &quot;name&quot;: &quot;A String&quot;, # Output only. The resource name of the DatasetVersion.
   &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this DatasetVersion was last updated.
 }</pre>
@@ -237,6 +242,7 @@ <h3>Method Details</h3>
       &quot;displayName&quot;: &quot;A String&quot;, # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters.
       &quot;etag&quot;: &quot;A String&quot;, # Used to perform consistent read-modify-write updates. If not set, a blind &quot;overwrite&quot; update happens.
       &quot;metadata&quot;: &quot;&quot;, # Required. Output only. Additional information about the DatasetVersion.
+      &quot;modelReference&quot;: &quot;A String&quot;, # Output only. Reference to the public base model last used by the dataset version. Only set for prompt dataset versions.
       &quot;name&quot;: &quot;A String&quot;, # Output only. The resource name of the DatasetVersion.
       &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this DatasetVersion was last updated.
     },
@@ -259,6 +265,47 @@ <h3>Method Details</h3>
         </pre>
 </div>
 
+<div class="method">
+    <code class="details" id="patch">patch(name, body=None, updateMask=None, x__xgafv=None)</code>
+  <pre>Updates a DatasetVersion.
+
+Args:
+  name: string, Output only. The resource name of the DatasetVersion. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Describes the dataset version.
+  &quot;bigQueryDatasetName&quot;: &quot;A String&quot;, # Output only. Name of the associated BigQuery dataset.
+  &quot;createTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this DatasetVersion was created.
+  &quot;displayName&quot;: &quot;A String&quot;, # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters.
+  &quot;etag&quot;: &quot;A String&quot;, # Used to perform consistent read-modify-write updates. If not set, a blind &quot;overwrite&quot; update happens.
+  &quot;metadata&quot;: &quot;&quot;, # Required. Output only. Additional information about the DatasetVersion.
+  &quot;modelReference&quot;: &quot;A String&quot;, # Output only. Reference to the public base model last used by the dataset version. Only set for prompt dataset versions.
+  &quot;name&quot;: &quot;A String&quot;, # Output only. The resource name of the DatasetVersion.
+  &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this DatasetVersion was last updated.
+}
+
+  updateMask: string, Required. The update mask applies to the resource. For the `FieldMask` definition, see google.protobuf.FieldMask. Updatable fields: * `display_name`
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Describes the dataset version.
+  &quot;bigQueryDatasetName&quot;: &quot;A String&quot;, # Output only. Name of the associated BigQuery dataset.
+  &quot;createTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this DatasetVersion was created.
+  &quot;displayName&quot;: &quot;A String&quot;, # The user-defined name of the DatasetVersion. The name can be up to 128 characters long and can consist of any UTF-8 characters.
+  &quot;etag&quot;: &quot;A String&quot;, # Used to perform consistent read-modify-write updates. If not set, a blind &quot;overwrite&quot; update happens.
+  &quot;metadata&quot;: &quot;&quot;, # Required. Output only. Additional information about the DatasetVersion.
+  &quot;modelReference&quot;: &quot;A String&quot;, # Output only. Reference to the public base model last used by the dataset version. Only set for prompt dataset versions.
+  &quot;name&quot;: &quot;A String&quot;, # Output only. The resource name of the DatasetVersion.
+  &quot;updateTime&quot;: &quot;A String&quot;, # Output only. Timestamp when this DatasetVersion was last updated.
+}</pre>
+</div>
+
 <div class="method">
     <code class="details" id="restore">restore(name, x__xgafv=None)</code>
   <pre>Restores a dataset version.

diff --git a/docs/dyn/aiplatform_v1.projects.locations.datasets.html b/docs/dyn/aiplatform_v1.projects.locations.datasets.html
@@ -162,6 +162,7 @@ <h3>Method Details</h3>
   &quot;metadata&quot;: &quot;&quot;, # Required. Additional information about the Dataset.
   &quot;metadataArtifact&quot;: &quot;A String&quot;, # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   &quot;metadataSchemaUri&quot;: &quot;A String&quot;, # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
+  &quot;modelReference&quot;: &quot;A String&quot;, # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
   &quot;name&quot;: &quot;A String&quot;, # Output only. The resource name of the Dataset.
   &quot;savedQueries&quot;: [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
     { # A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.
@@ -334,6 +335,7 @@ <h3>Method Details</h3>
   &quot;metadata&quot;: &quot;&quot;, # Required. Additional information about the Dataset.
   &quot;metadataArtifact&quot;: &quot;A String&quot;, # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   &quot;metadataSchemaUri&quot;: &quot;A String&quot;, # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
+  &quot;modelReference&quot;: &quot;A String&quot;, # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
   &quot;name&quot;: &quot;A String&quot;, # Output only. The resource name of the Dataset.
   &quot;savedQueries&quot;: [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
     { # A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.
@@ -446,6 +448,7 @@ <h3>Method Details</h3>
       &quot;metadata&quot;: &quot;&quot;, # Required. Additional information about the Dataset.
       &quot;metadataArtifact&quot;: &quot;A String&quot;, # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
       &quot;metadataSchemaUri&quot;: &quot;A String&quot;, # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
+      &quot;modelReference&quot;: &quot;A String&quot;, # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
       &quot;name&quot;: &quot;A String&quot;, # Output only. The resource name of the Dataset.
       &quot;savedQueries&quot;: [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
         { # A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.
@@ -506,6 +509,7 @@ <h3>Method Details</h3>
   &quot;metadata&quot;: &quot;&quot;, # Required. Additional information about the Dataset.
   &quot;metadataArtifact&quot;: &quot;A String&quot;, # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   &quot;metadataSchemaUri&quot;: &quot;A String&quot;, # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
+  &quot;modelReference&quot;: &quot;A String&quot;, # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
   &quot;name&quot;: &quot;A String&quot;, # Output only. The resource name of the Dataset.
   &quot;savedQueries&quot;: [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
     { # A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.
@@ -548,6 +552,7 @@ <h3>Method Details</h3>
   &quot;metadata&quot;: &quot;&quot;, # Required. Additional information about the Dataset.
   &quot;metadataArtifact&quot;: &quot;A String&quot;, # Output only. The resource name of the Artifact that was created in MetadataStore when creating the Dataset. The Artifact resource name pattern is `projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}`.
   &quot;metadataSchemaUri&quot;: &quot;A String&quot;, # Required. Points to a YAML file stored on Google Cloud Storage describing additional information about the Dataset. The schema is defined as an OpenAPI 3.0.2 Schema Object. The schema files that can be used here are found in gs://google-cloud-aiplatform/schema/dataset/metadata/.
+  &quot;modelReference&quot;: &quot;A String&quot;, # Optional. Reference to the public base model last used by the dataset. Only set for prompt datasets.
   &quot;name&quot;: &quot;A String&quot;, # Output only. The resource name of the Dataset.
   &quot;savedQueries&quot;: [ # All SavedQueries belong to the Dataset will be returned in List/Get Dataset response. The annotation_specs field will not be populated except for UI cases which will only use annotation_spec_count. In CreateDataset request, a SavedQuery is created together if this field is set, up to one SavedQuery can be set in CreateDatasetRequest. The SavedQuery should not contain any AnnotationSpec.
     { # A SavedQuery is a view of the dataset. It references a subset of annotations by problem type and filters.

diff --git a/docs/dyn/aiplatform_v1.projects.locations.endpoints.html b/docs/dyn/aiplatform_v1.projects.locations.endpoints.html
@@ -1105,6 +1105,7 @@ <h3>Method Details</h3>
     &quot;maxOutputTokens&quot;: 42, # Optional. The maximum number of output tokens to generate per message.
     &quot;presencePenalty&quot;: 3.14, # Optional. Positive penalties.
     &quot;responseMimeType&quot;: &quot;A String&quot;, # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
+    &quot;responseStyle&quot;: &quot;A String&quot;, # Optional. Control Three levels of creativity in the model output. Default: RESPONSE_STYLE_BALANCED
     &quot;stopSequences&quot;: [ # Optional. Stop sequences.
       &quot;A String&quot;,
     ],
@@ -2605,6 +2606,7 @@ <h3>Method Details</h3>
     &quot;maxOutputTokens&quot;: 42, # Optional. The maximum number of output tokens to generate per message.
     &quot;presencePenalty&quot;: 3.14, # Optional. Positive penalties.
     &quot;responseMimeType&quot;: &quot;A String&quot;, # Optional. Output response mimetype of the generated candidate text. Supported mimetype: - `text/plain`: (default) Text output. - `application/json`: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.
+    &quot;responseStyle&quot;: &quot;A String&quot;, # Optional. Control Three levels of creativity in the model output. Default: RESPONSE_STYLE_BALANCED
     &quot;stopSequences&quot;: [ # Optional. Stop sequences.
       &quot;A String&quot;,
     ],

diff --git a/docs/dyn/aiplatform_v1.projects.locations.featureGroups.html b/docs/dyn/aiplatform_v1.projects.locations.featureGroups.html
@@ -121,7 +121,7 @@ <h3>Method Details</h3>
     The object takes the form of:
 
 { # Vertex AI Feature Group.
-  &quot;bigQuery&quot;: { # Input source type for BigQuery Tables and Views. # Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entity_id and a feature_timestamp column in the source.
+  &quot;bigQuery&quot;: { # Input source type for BigQuery Tables and Views. # Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source. The BigQuery source table or view must have at least one entity ID column and a column named `feature_timestamp`.
     &quot;bigQuerySource&quot;: { # The BigQuery location for the input content. # Required. Immutable. The BigQuery source URI that points to either a BigQuery Table or View.
       &quot;inputUri&quot;: &quot;A String&quot;, # Required. BigQuery URI to a table, up to 2000 characters long. Accepted forms: * BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
     },
@@ -220,7 +220,7 @@ <h3>Method Details</h3>
   An object of the form:
 
     { # Vertex AI Feature Group.
-  &quot;bigQuery&quot;: { # Input source type for BigQuery Tables and Views. # Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entity_id and a feature_timestamp column in the source.
+  &quot;bigQuery&quot;: { # Input source type for BigQuery Tables and Views. # Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source. The BigQuery source table or view must have at least one entity ID column and a column named `feature_timestamp`.
     &quot;bigQuerySource&quot;: { # The BigQuery location for the input content. # Required. Immutable. The BigQuery source URI that points to either a BigQuery Table or View.
       &quot;inputUri&quot;: &quot;A String&quot;, # Required. BigQuery URI to a table, up to 2000 characters long. Accepted forms: * BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
     },
@@ -260,7 +260,7 @@ <h3>Method Details</h3>
     { # Response message for FeatureRegistryService.ListFeatureGroups.
   &quot;featureGroups&quot;: [ # The FeatureGroups matching the request.
     { # Vertex AI Feature Group.
-      &quot;bigQuery&quot;: { # Input source type for BigQuery Tables and Views. # Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entity_id and a feature_timestamp column in the source.
+      &quot;bigQuery&quot;: { # Input source type for BigQuery Tables and Views. # Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source. The BigQuery source table or view must have at least one entity ID column and a column named `feature_timestamp`.
         &quot;bigQuerySource&quot;: { # The BigQuery location for the input content. # Required. Immutable. The BigQuery source URI that points to either a BigQuery Table or View.
           &quot;inputUri&quot;: &quot;A String&quot;, # Required. BigQuery URI to a table, up to 2000 characters long. Accepted forms: * BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
         },
@@ -306,7 +306,7 @@ <h3>Method Details</h3>
     The object takes the form of:
 
 { # Vertex AI Feature Group.
-  &quot;bigQuery&quot;: { # Input source type for BigQuery Tables and Views. # Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source, which is required to have an entity_id and a feature_timestamp column in the source.
+  &quot;bigQuery&quot;: { # Input source type for BigQuery Tables and Views. # Indicates that features for this group come from BigQuery Table/View. By default treats the source as a sparse time series source. The BigQuery source table or view must have at least one entity ID column and a column named `feature_timestamp`.
     &quot;bigQuerySource&quot;: { # The BigQuery location for the input content. # Required. Immutable. The BigQuery source URI that points to either a BigQuery Table or View.
       &quot;inputUri&quot;: &quot;A String&quot;, # Required. BigQuery URI to a table, up to 2000 characters long. Accepted forms: * BigQuery path. For example: `bq://projectId.bqDatasetId.bqTableId`.
     },