Package com.google.cloud.aiplatform.v1beta1
package com.google.cloud.aiplatform.v1beta1
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ClassDescriptionRepresents a hardware accelerator type.Request message for [ModelGardenService.AcceptPublisherModelEula][google.cloud.aiplatform.v1beta1.ModelGardenService.AcceptPublisherModelEula].Request message for [ModelGardenService.AcceptPublisherModelEula][google.cloud.aiplatform.v1beta1.ModelGardenService.AcceptPublisherModelEula].Metadata for the ActivateOnlineEvaluator operation.Metadata for the ActivateOnlineEvaluator operation.Request message for ActivateOnlineEvaluator.Request message for ActivateOnlineEvaluator.Parameters that configure the active learning pipeline.Parameters that configure the active learning pipeline.Request message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].Request message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].Response message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].Response message for [MetadataService.AddContextArtifactsAndExecutions][google.cloud.aiplatform.v1beta1.MetadataService.AddContextArtifactsAndExecutions].Request message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].Request message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].Response message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].Response message for [MetadataService.AddContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.AddContextChildren].Request message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].Request message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].Response message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].Response message for [MetadataService.AddExecutionEvents][google.cloud.aiplatform.v1beta1.MetadataService.AddExecutionEvents].Request message for [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1beta1.VizierService.AddTrialMeasurement].Request message for [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1beta1.VizierService.AddTrialMeasurement].Represents configuration for an Agent.Represents configuration for an Agent.Represents data specific to multi-turn agent evaluations.Represents data specific to multi-turn agent evaluations.Represents a single event in the execution trace.Represents a single event in the execution trace.The aggregation result for the entire dataset and all metrics.The aggregation result for the entire dataset and all metrics.The aggregation result for a single metric.The aggregation result for a single metric.Used to assign specific AnnotationSpec to a particular area of a DataItem or the whole part of the DataItem.Used to assign specific AnnotationSpec to a particular area of a DataItem or the whole part of the DataItem.Identifies a concept with which DataItems may be annotated with.Identifies a concept with which DataItems may be annotated with.Builder for projects/{project}/locations/{location}/datasets/{dataset}/annotationSpecs/{annotation_spec}.The generic reusable api auth config.The API secret.The API secret.The generic reusable api auth config.Request message for [SessionService.AppendEvent][google.cloud.aiplatform.v1beta1.SessionService.AppendEvent].Request message for [SessionService.AppendEvent][google.cloud.aiplatform.v1beta1.SessionService.AppendEvent].Response message for [SessionService.AppendEvent][google.cloud.aiplatform.v1beta1.SessionService.AppendEvent].Response message for [SessionService.AppendEvent][google.cloud.aiplatform.v1beta1.SessionService.AppendEvent].Instance of a general artifact.Instance of a general artifact.Describes the state of the Artifact.Builder for projects/{project}/locations/{location}/metadataStores/{metadata_store}/artifacts/{artifact}.The definition of a artifact type in MLMD.The definition of a artifact type in MLMD.Agentic Retrieval Ask API for RAG.Agentic Retrieval Ask API for RAG.Response message for [VertexRagService.AskContexts][google.cloud.aiplatform.v1beta1.VertexRagService.AskContexts].Response message for [VertexRagService.AskContexts][google.cloud.aiplatform.v1beta1.VertexRagService.AskContexts].Runtime operation information for [DatasetService.AssembleData][google.cloud.aiplatform.v1beta1.DatasetService.AssembleData].Runtime operation information for [DatasetService.AssembleData][google.cloud.aiplatform.v1beta1.DatasetService.AssembleData].Request message for [DatasetService.AssembleData][google.cloud.aiplatform.v1beta1.DatasetService.AssembleData].Request message for [DatasetService.AssembleData][google.cloud.aiplatform.v1beta1.DatasetService.AssembleData].Response message for [DatasetService.AssembleData][google.cloud.aiplatform.v1beta1.DatasetService.AssembleData].Response message for [DatasetService.AssembleData][google.cloud.aiplatform.v1beta1.DatasetService.AssembleData].Runtime operation information for [DatasetService.AssessData][google.cloud.aiplatform.v1beta1.DatasetService.AssessData].Runtime operation information for [DatasetService.AssessData][google.cloud.aiplatform.v1beta1.DatasetService.AssessData].Request message for [DatasetService.AssessData][google.cloud.aiplatform.v1beta1.DatasetService.AssessData].Configuration for the batch prediction resource usage assessment.Configuration for the batch prediction resource usage assessment.Configuration for the batch prediction validation assessment.Configuration for the batch prediction validation assessment.Request message for [DatasetService.AssessData][google.cloud.aiplatform.v1beta1.DatasetService.AssessData].Configuration for the tuning resource usage assessment.Configuration for the tuning resource usage assessment.Configuration for the tuning validation assessment.Configuration for the tuning validation assessment.The dataset usage (e.g. training/validation).Response message for [DatasetService.AssessData][google.cloud.aiplatform.v1beta1.DatasetService.AssessData].The result of the batch prediction resource usage assessment.The result of the batch prediction resource usage assessment.The result of the batch prediction validation assessment.The result of the batch prediction validation assessment.Response message for [DatasetService.AssessData][google.cloud.aiplatform.v1beta1.DatasetService.AssessData].The result of the tuning resource usage assessment.The result of the tuning resource usage assessment.The result of the tuning validation assessment.The result of the tuning validation assessment.Metadata information for [NotebookService.AssignNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.AssignNotebookRuntime].Metadata information for [NotebookService.AssignNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.AssignNotebookRuntime].Request message for [NotebookService.AssignNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.AssignNotebookRuntime].Request message for [NotebookService.AssignNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.AssignNotebookRuntime].Operation metadata message for [ReasoningEngineExecutionService.AsyncQueryReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineExecutionService.AsyncQueryReasoningEngine].Operation metadata message for [ReasoningEngineExecutionService.AsyncQueryReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineExecutionService.AsyncQueryReasoningEngine].Request message for [ReasoningEngineExecutionService.AsyncQueryReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineExecutionService.AsyncQueryReasoningEngine].Request message for [ReasoningEngineExecutionService.AsyncQueryReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineExecutionService.AsyncQueryReasoningEngine].Response message for [ReasoningEngineExecutionService.AsyncQueryReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineExecutionService.AsyncQueryReasoningEngine].Response message for [ReasoningEngineExecutionService.AsyncQueryReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineExecutionService.AsyncQueryReasoningEngine].Metadata for AsyncRetrieveContextsOperation.Metadata for AsyncRetrieveContextsOperation.Request message for [VertexRagService.AsyncRetrieveContexts][google.cloud.aiplatform.v1beta1.VertexRagService.AsyncRetrieveContexts].Request message for [VertexRagService.AsyncRetrieveContexts][google.cloud.aiplatform.v1beta1.VertexRagService.AsyncRetrieveContexts].Response message for [VertexRagService.AsyncRetrieveContexts][google.cloud.aiplatform.v1beta1.VertexRagService.AsyncRetrieveContexts].Response message for [VertexRagService.AsyncRetrieveContexts][google.cloud.aiplatform.v1beta1.VertexRagService.AsyncRetrieveContexts].Attribution that explains a particular prediction output.Attribution that explains a particular prediction output.Request message for AugmentPrompt.Request message for AugmentPrompt.Metadata of the backend deployed model.Metadata of the backend deployed model.Response message for AugmentPrompt.Response message for AugmentPrompt.Auth configuration to run the extension.Config for authentication with API key.Config for authentication with API key.Auth configuration to run the extension.Config for Google Service Account Authentication.Config for Google Service Account Authentication.Config for HTTP Basic Authentication.Config for HTTP Basic Authentication.Config for user oauth.Config for user oauth.Config for user OIDC auth.Config for user OIDC auth.Type of Auth.A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.The configs for autorater.The configs for autorater.The metric specification that defines the target resource utilization (CPU utilization, accelerator's duty cycle, and so on) for calculating the desired replica count.The metric specification that defines the target resource utilization (CPU utilization, accelerator's duty cycle, and so on) for calculating the desired replica count.The storage details for Avro input content.The storage details for Avro input content.Runtime operation information for [PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.BatchCancelPipelineJobs].Runtime operation information for [PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.BatchCancelPipelineJobs].Request message for [PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.BatchCancelPipelineJobs].Request message for [PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.BatchCancelPipelineJobs].Response message for [PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.BatchCancelPipelineJobs].Response message for [PipelineService.BatchCancelPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.BatchCancelPipelineJobs].Details of operations that perform batch create Features.Details of operations that perform batch create Features.Request message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].Request message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].Response message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].Response message for [FeaturestoreService.BatchCreateFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchCreateFeatures].Runtime operation information for [VertexRagDataService.BatchCreateRagDataSchemas][google.cloud.aiplatform.v1beta1.VertexRagDataService.BatchCreateRagDataSchemas].Runtime operation information for [VertexRagDataService.BatchCreateRagDataSchemas][google.cloud.aiplatform.v1beta1.VertexRagDataService.BatchCreateRagDataSchemas].Request message for [VertexRagDataService.BatchCreateRagDataSchemas][google.cloud.aiplatform.v1beta1.VertexRagDataService.BatchCreateRagDataSchemas].Request message for [VertexRagDataService.BatchCreateRagDataSchemas][google.cloud.aiplatform.v1beta1.VertexRagDataService.BatchCreateRagDataSchemas].Response message for [VertexRagDataService.BatchCreateRagDataSchemas][google.cloud.aiplatform.v1beta1.VertexRagDataService.BatchCreateRagDataSchemas].Response message for [VertexRagDataService.BatchCreateRagDataSchemas][google.cloud.aiplatform.v1beta1.VertexRagDataService.BatchCreateRagDataSchemas].Runtime operation information for [VertexRagDataService.BatchCreateRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.BatchCreateRagMetadata].Runtime operation information for [VertexRagDataService.BatchCreateRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.BatchCreateRagMetadata].Request message for [VertexRagDataService.BatchCreateRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.BatchCreateRagMetadata].Request message for [VertexRagDataService.BatchCreateRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.BatchCreateRagMetadata].Response message for [VertexRagDataService.BatchCreateRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.BatchCreateRagMetadata].Response message for [VertexRagDataService.BatchCreateRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.BatchCreateRagMetadata].Request message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].Request message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].Response message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].Response message for [TensorboardService.BatchCreateTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardRuns].Request message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].Request message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].Response message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].Response message for [TensorboardService.BatchCreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.BatchCreateTensorboardTimeSeries].A description of resources that are used for performing batch operations, are dedicated to a Model, and need manual configuration.A description of resources that are used for performing batch operations, are dedicated to a Model, and need manual configuration.Request message for [PipelineService.BatchDeletePipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.BatchDeletePipelineJobs].Request message for [PipelineService.BatchDeletePipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.BatchDeletePipelineJobs].Response message for [PipelineService.BatchDeletePipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.BatchDeletePipelineJobs].Response message for [PipelineService.BatchDeletePipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.BatchDeletePipelineJobs].Request message for [VertexRagDataService.BatchDeleteRagDataSchemas][google.cloud.aiplatform.v1beta1.VertexRagDataService.BatchDeleteRagDataSchemas].Request message for [VertexRagDataService.BatchDeleteRagDataSchemas][google.cloud.aiplatform.v1beta1.VertexRagDataService.BatchDeleteRagDataSchemas].Request message for [VertexRagDataService.BatchDeleteRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.BatchDeleteRagMetadata].Request message for [VertexRagDataService.BatchDeleteRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.BatchDeleteRagMetadata].Request message for [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1beta1.ModelService.BatchImportEvaluatedAnnotations]Request message for [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1beta1.ModelService.BatchImportEvaluatedAnnotations]Response message for [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1beta1.ModelService.BatchImportEvaluatedAnnotations]Response message for [ModelService.BatchImportEvaluatedAnnotations][google.cloud.aiplatform.v1beta1.ModelService.BatchImportEvaluatedAnnotations]Request message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]Request message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]Response message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]Response message for [ModelService.BatchImportModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.BatchImportModelEvaluationSlices]Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].Runtime operation information for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].Represents a partial result in batch migration operation for one [MigrateResourceRequest][google.cloud.aiplatform.v1beta1.MigrateResourceRequest].Represents a partial result in batch migration operation for one [MigrateResourceRequest][google.cloud.aiplatform.v1beta1.MigrateResourceRequest].Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].Request message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].Response message for [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].A job that uses a [Model][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] to produce predictions on multiple [input instances][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].A job that uses a [Model][google.cloud.aiplatform.v1beta1.BatchPredictionJob.model] to produce predictions on multiple [input instances][google.cloud.aiplatform.v1beta1.BatchPredictionJob.input_config].Configures the input to [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].Configures the input to [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].Configuration defining how to transform batch prediction input instances to the instances that the Model accepts.Configuration defining how to transform batch prediction input instances to the instances that the Model accepts.Configures the output of [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].Configures the output of [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].Further describes this job's output.Further describes this job's output.Builder for projects/{project}/locations/{location}/batchPredictionJobs/{batch_prediction_job}.Details of operations that batch reads Feature values.Details of operations that batch reads Feature values.Request message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].Request message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].Selects Features of an EntityType to read values of and specifies read settings.Selects Features of an EntityType to read values of and specifies read settings.Describe pass-through fields in read_instance source.Describe pass-through fields in read_instance source.Response message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].Response message for [FeaturestoreService.BatchReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.BatchReadFeatureValues].Request message for [TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.BatchReadTensorboardTimeSeriesData].Request message for [TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.BatchReadTensorboardTimeSeriesData].Response message for [TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.BatchReadTensorboardTimeSeriesData].Response message for [TensorboardService.BatchReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.BatchReadTensorboardTimeSeriesData].The BigQuery location for the output content.The BigQuery location for the output content.The BigQuery location for the input content.The BigQuery location for the input content.Input for bleu metric.Input for bleu metric.Spec for bleu instance.Spec for bleu instance.Bleu metric value for an instance.Bleu metric value for an instance.Results for bleu metric.Results for bleu metric.Spec for bleu score metric - calculates the precision of n-grams in the prediction as compared to reference - returns a score ranging between 0 to 1.Spec for bleu score metric - calculates the precision of n-grams in the prediction as compared to reference - returns a score ranging between 0 to 1.Content blob.Content blob.Config for blur baseline.Config for blur baseline.A list of boolean values.A list of boolean values.A resource used in LLM queries for users to explicitly specify what to cache and how to cache.A resource used in LLM queries for users to explicitly specify what to cache and how to cache.Metadata on the usage of the cached content.Metadata on the usage of the cached content.Builder for projects/{project}/locations/{location}/cachedContents/{cached_content}.Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CancelBatchPredictionJob].Request message for [JobService.CancelBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CancelBatchPredictionJob].Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1beta1.JobService.CancelCustomJob].Request message for [JobService.CancelCustomJob][google.cloud.aiplatform.v1beta1.JobService.CancelCustomJob].Request message for [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CancelDataLabelingJob].Request message for [JobService.CancelDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CancelDataLabelingJob].Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CancelHyperparameterTuningJob].Request message for [JobService.CancelHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CancelHyperparameterTuningJob].Request message for [JobService.CancelNasJob][google.cloud.aiplatform.v1beta1.JobService.CancelNasJob].Request message for [JobService.CancelNasJob][google.cloud.aiplatform.v1beta1.JobService.CancelNasJob].Request message for [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CancelPipelineJob].Request message for [PipelineService.CancelPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CancelPipelineJob].Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CancelTrainingPipeline].Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CancelTrainingPipeline].Request message for [GenAiTuningService.CancelTuningJob][google.cloud.aiplatform.v1beta1.GenAiTuningService.CancelTuningJob].Request message for [GenAiTuningService.CancelTuningJob][google.cloud.aiplatform.v1beta1.GenAiTuningService.CancelTuningJob].A response candidate generated from the model.A response candidate generated from the model.The reason why the model stopped generating tokens.Request message for [PredictionService.ChatCompletions]Request message for [PredictionService.ChatCompletions]Describes the machine learning model version checkpoint.Describes the machine learning model version checkpoint.Request message for [ModelGardenService.CheckPublisherModelEula][].Request message for [ModelGardenService.CheckPublisherModelEula][].This message will be placed in the metadata field of a google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request.This message will be placed in the metadata field of a google.longrunning.Operation associated with a CheckTrialEarlyStoppingState request.Request message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].Request message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].Response message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].Response message for [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].Source attributions for content.Source attributions for content.A collection of source attributions for a piece of content.A collection of source attributions for a piece of content.Claim that is extracted from the input text and facts that support it.Claim that is extracted from the input text and facts that support it.Configurations (e.g. inference timeout) that are applied on your endpoints.Configurations (e.g. inference timeout) that are applied on your endpoints.Result of executing the [ExecutableCode].Result of executing the [ExecutableCode].Enumeration of possible outcomes of the code execution.Input for coherence metric.Input for coherence metric.Spec for coherence instance.Spec for coherence instance.Spec for coherence result.Spec for coherence result.Spec for coherence score metric.Spec for coherence score metric.Colab image of the runtime.Colab image of the runtime.Input for Comet metric.Input for Comet metric.Spec for Comet instance - The fields used for evaluation are dependent on the comet version.Spec for Comet instance - The fields used for evaluation are dependent on the comet version.Spec for Comet result - calculates the comet score for the given instance using the version specified in the spec.Spec for Comet result - calculates the comet score for the given instance using the version specified in the spec.Spec for Comet metric.Spec for Comet metric.Comet version options.Request message for [VizierService.CompleteTrial][google.cloud.aiplatform.v1beta1.VizierService.CompleteTrial].Request message for [VizierService.CompleteTrial][google.cloud.aiplatform.v1beta1.VizierService.CompleteTrial].Success and error statistics of processing multiple entities (for example, DataItems or structured data rows) in batch.Success and error statistics of processing multiple entities (for example, DataItems or structured data rows) in batch.Specification for a computation based metric.Specification for a computation based metric.Types of computation based metrics.Request message for ComputeTokens RPC call.Request message for ComputeTokens RPC call.Response message for ComputeTokens RPC call.Response message for ComputeTokens RPC call.The Container Registry location for the container image.The Container Registry location for the container image.The spec of a Container.The spec of a Container.The base structured datatype containing multi-part content of a message.The base structured datatype containing multi-part content of a message.Map of placeholder in metric prompt template to contents of model input.Map of placeholder in metric prompt template to contents of model input.Repeated Content type.Repeated Content type.A single example of a conversation with the model.A single example of a conversation with the model.A single step of the expected output.A single step of the expected output.Instance of a general context.Instance of a general context.Builder for projects/{project}/locations/{location}/metadataStores/{metadata_store}/contexts/{context}.Represents a single turn/invocation in the conversation.Represents a single turn/invocation in the conversation.Details of [ModelService.CopyModel][google.cloud.aiplatform.v1beta1.ModelService.CopyModel] operation.Details of [ModelService.CopyModel][google.cloud.aiplatform.v1beta1.ModelService.CopyModel] operation.Request message for [ModelService.CopyModel][google.cloud.aiplatform.v1beta1.ModelService.CopyModel].Request message for [ModelService.CopyModel][google.cloud.aiplatform.v1beta1.ModelService.CopyModel].Response message of [ModelService.CopyModel][google.cloud.aiplatform.v1beta1.ModelService.CopyModel] operation.Response message of [ModelService.CopyModel][google.cloud.aiplatform.v1beta1.ModelService.CopyModel] operation.RagCorpus status.RagCorpus status.RagCorpus life state.Request message for CorroborateContent.Request message for CorroborateContent.Parameters that can be overrided per request.Parameters that can be overrided per request.Response message for CorroborateContent.Response message for CorroborateContent.Request message for [PredictionService.CountTokens][google.cloud.aiplatform.v1beta1.PredictionService.CountTokens].Request message for [PredictionService.CountTokens][google.cloud.aiplatform.v1beta1.PredictionService.CountTokens].Response message for [PredictionService.CountTokens][google.cloud.aiplatform.v1beta1.PredictionService.CountTokens].Response message for [PredictionService.CountTokens][google.cloud.aiplatform.v1beta1.PredictionService.CountTokens].Request message for [MetadataService.CreateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.CreateArtifact].Request message for [MetadataService.CreateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.CreateArtifact].Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CreateBatchPredictionJob].Request message for [JobService.CreateBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.CreateBatchPredictionJob].Request message for [GenAiCacheService.CreateCachedContent][google.cloud.aiplatform.v1beta1.GenAiCacheService.CreateCachedContent].Request message for [GenAiCacheService.CreateCachedContent][google.cloud.aiplatform.v1beta1.GenAiCacheService.CreateCachedContent].Request message for [MetadataService.CreateContext][google.cloud.aiplatform.v1beta1.MetadataService.CreateContext].Request message for [MetadataService.CreateContext][google.cloud.aiplatform.v1beta1.MetadataService.CreateContext].Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1beta1.JobService.CreateCustomJob].Request message for [JobService.CreateCustomJob][google.cloud.aiplatform.v1beta1.JobService.CreateCustomJob].Request message for [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CreateDataLabelingJob].Request message for [JobService.CreateDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.CreateDataLabelingJob].Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].Runtime operation information for [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].Request message for [DatasetService.CreateDataset][google.cloud.aiplatform.v1beta1.DatasetService.CreateDataset].Runtime operation information for [DatasetService.CreateDatasetVersion][google.cloud.aiplatform.v1beta1.DatasetService.CreateDatasetVersion].Runtime operation information for [DatasetService.CreateDatasetVersion][google.cloud.aiplatform.v1beta1.DatasetService.CreateDatasetVersion].Request message for [DatasetService.CreateDatasetVersion][google.cloud.aiplatform.v1beta1.DatasetService.CreateDatasetVersion].Request message for [DatasetService.CreateDatasetVersion][google.cloud.aiplatform.v1beta1.DatasetService.CreateDatasetVersion].Runtime operation information for CreateDeploymentResourcePool method.Runtime operation information for CreateDeploymentResourcePool method.Request message for CreateDeploymentResourcePool method.Request message for CreateDeploymentResourcePool method.Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].Runtime operation information for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].Request message for [EndpointService.CreateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.CreateEndpoint].Details of operations that perform create EntityType.Details of operations that perform create EntityType.Request message for [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateEntityType].Request message for [FeaturestoreService.CreateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateEntityType].Details of [ExampleStoreService.CreateExampleStore][google.cloud.aiplatform.v1beta1.ExampleStoreService.CreateExampleStore] operation.Details of [ExampleStoreService.CreateExampleStore][google.cloud.aiplatform.v1beta1.ExampleStoreService.CreateExampleStore] operation.Request message for [ExampleStoreService.CreateExampleStore][google.cloud.aiplatform.v1beta1.ExampleStoreService.CreateExampleStore].Request message for [ExampleStoreService.CreateExampleStore][google.cloud.aiplatform.v1beta1.ExampleStoreService.CreateExampleStore].Request message for [MetadataService.CreateExecution][google.cloud.aiplatform.v1beta1.MetadataService.CreateExecution].Request message for [MetadataService.CreateExecution][google.cloud.aiplatform.v1beta1.MetadataService.CreateExecution].Details of operations that perform create FeatureGroup.Details of operations that perform create FeatureGroup.Request message for [FeatureRegistryService.CreateFeatureGroup][google.cloud.aiplatform.v1beta1.FeatureRegistryService.CreateFeatureGroup].Request message for [FeatureRegistryService.CreateFeatureGroup][google.cloud.aiplatform.v1beta1.FeatureRegistryService.CreateFeatureGroup].Request message for [FeatureRegistryService.CreateFeatureMonitorJobRequest][].Request message for [FeatureRegistryService.CreateFeatureMonitorJobRequest][].Details of operations that perform create FeatureMonitor.Details of operations that perform create FeatureMonitor.Request message for [FeatureRegistryService.CreateFeatureMonitorRequest][].Request message for [FeatureRegistryService.CreateFeatureMonitorRequest][].Details of operations that perform create FeatureOnlineStore.Details of operations that perform create FeatureOnlineStore.Request message for [FeatureOnlineStoreAdminService.CreateFeatureOnlineStore][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.CreateFeatureOnlineStore].Request message for [FeatureOnlineStoreAdminService.CreateFeatureOnlineStore][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.CreateFeatureOnlineStore].Details of operations that perform create Feature.Details of operations that perform create Feature.Request message for [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeature].Request message for [FeaturestoreService.CreateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeature].Details of operations that perform create Featurestore.Details of operations that perform create Featurestore.Request message for [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeaturestore].Request message for [FeaturestoreService.CreateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.CreateFeaturestore].Details of operations that perform create FeatureView.Details of operations that perform create FeatureView.Request message for [FeatureOnlineStoreAdminService.CreateFeatureView][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.CreateFeatureView].Request message for [FeatureOnlineStoreAdminService.CreateFeatureView][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.CreateFeatureView].Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CreateHyperparameterTuningJob].Request message for [JobService.CreateHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.CreateHyperparameterTuningJob].Runtime operation information for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.CreateIndexEndpoint].Runtime operation information for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.CreateIndexEndpoint].Request message for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.CreateIndexEndpoint].Request message for [IndexEndpointService.CreateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.CreateIndexEndpoint].Runtime operation information for [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].Runtime operation information for [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].Request message for [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].Request message for [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].Details of [MemoryBankService.CreateMemory][google.cloud.aiplatform.v1beta1.MemoryBankService.CreateMemory] operation.Details of [MemoryBankService.CreateMemory][google.cloud.aiplatform.v1beta1.MemoryBankService.CreateMemory] operation.Request message for [MemoryBankService.CreateMemory][google.cloud.aiplatform.v1beta1.MemoryBankService.CreateMemory].Request message for [MemoryBankService.CreateMemory][google.cloud.aiplatform.v1beta1.MemoryBankService.CreateMemory].Request message for [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataSchema].Request message for [MetadataService.CreateMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataSchema].Details of operations that perform [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].Details of operations that perform [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].Request message for [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].Request message for [MetadataService.CreateMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.CreateMetadataStore].Request message for [JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.CreateModelDeploymentMonitoringJob].Request message for [JobService.CreateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.CreateModelDeploymentMonitoringJob].Request message for [ModelMonitoringService.CreateModelMonitoringJob][google.cloud.aiplatform.v1beta1.ModelMonitoringService.CreateModelMonitoringJob].Request message for [ModelMonitoringService.CreateModelMonitoringJob][google.cloud.aiplatform.v1beta1.ModelMonitoringService.CreateModelMonitoringJob].Runtime operation information for [ModelMonitoringService.CreateModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.CreateModelMonitor].Runtime operation information for [ModelMonitoringService.CreateModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.CreateModelMonitor].Request message for [ModelMonitoringService.CreateModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.CreateModelMonitor].Request message for [ModelMonitoringService.CreateModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.CreateModelMonitor].Request message for [JobService.CreateNasJob][google.cloud.aiplatform.v1beta1.JobService.CreateNasJob].Request message for [JobService.CreateNasJob][google.cloud.aiplatform.v1beta1.JobService.CreateNasJob].Metadata information for [NotebookService.CreateNotebookExecutionJob][google.cloud.aiplatform.v1beta1.NotebookService.CreateNotebookExecutionJob].Metadata information for [NotebookService.CreateNotebookExecutionJob][google.cloud.aiplatform.v1beta1.NotebookService.CreateNotebookExecutionJob].Request message for [NotebookService.CreateNotebookExecutionJob]Request message for [NotebookService.CreateNotebookExecutionJob]Metadata information for [NotebookService.CreateNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.CreateNotebookRuntimeTemplate].Metadata information for [NotebookService.CreateNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.CreateNotebookRuntimeTemplate].Request message for [NotebookService.CreateNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.CreateNotebookRuntimeTemplate].Request message for [NotebookService.CreateNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.CreateNotebookRuntimeTemplate].Metadata for the CreateOnlineEvaluator operation.Metadata for the CreateOnlineEvaluator operation.Request message for CreateOnlineEvaluator.Request message for CreateOnlineEvaluator.Details of operations that perform create PersistentResource.Details of operations that perform create PersistentResource.Request message for [PersistentResourceService.CreatePersistentResource][google.cloud.aiplatform.v1beta1.PersistentResourceService.CreatePersistentResource].Request message for [PersistentResourceService.CreatePersistentResource][google.cloud.aiplatform.v1beta1.PersistentResourceService.CreatePersistentResource].Request message for [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CreatePipelineJob].Request message for [PipelineService.CreatePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.CreatePipelineJob].Runtime operation information for [VertexRagDataService.CreateRagCorpus][google.cloud.aiplatform.v1beta1.VertexRagDataService.CreateRagCorpus].Runtime operation information for [VertexRagDataService.CreateRagCorpus][google.cloud.aiplatform.v1beta1.VertexRagDataService.CreateRagCorpus].Request message for [VertexRagDataService.CreateRagCorpus][google.cloud.aiplatform.v1beta1.VertexRagDataService.CreateRagCorpus].Request message for [VertexRagDataService.CreateRagCorpus][google.cloud.aiplatform.v1beta1.VertexRagDataService.CreateRagCorpus].Request message for [VertexRagDataService.CreateRagDataSchema][google.cloud.aiplatform.v1beta1.VertexRagDataService.CreateRagDataSchema].Request message for [VertexRagDataService.CreateRagDataSchema][google.cloud.aiplatform.v1beta1.VertexRagDataService.CreateRagDataSchema].Request message for CreateRagMetadata.Request message for CreateRagMetadata.Details of [ReasoningEngineService.CreateReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineService.CreateReasoningEngine] operation.Details of [ReasoningEngineService.CreateReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineService.CreateReasoningEngine] operation.Request message for [ReasoningEngineService.CreateReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineService.CreateReasoningEngine].Request message for [ReasoningEngineService.CreateReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineService.CreateReasoningEngine].Details of operations that perform create FeatureGroup.Details of operations that perform create FeatureGroup.Request message for [ScheduleService.CreateSchedule][google.cloud.aiplatform.v1beta1.ScheduleService.CreateSchedule].Request message for [ScheduleService.CreateSchedule][google.cloud.aiplatform.v1beta1.ScheduleService.CreateSchedule].Metadata associated with the [SessionService.CreateSession][google.cloud.aiplatform.v1beta1.SessionService.CreateSession] operation.Metadata associated with the [SessionService.CreateSession][google.cloud.aiplatform.v1beta1.SessionService.CreateSession] operation.Request message for [SessionService.CreateSession][google.cloud.aiplatform.v1beta1.SessionService.CreateSession].Request message for [SessionService.CreateSession][google.cloud.aiplatform.v1beta1.SessionService.CreateSession].Runtime operation information for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.CreateSpecialistPool].Runtime operation information for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.CreateSpecialistPool].Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.CreateSpecialistPool].Request message for [SpecialistPoolService.CreateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.CreateSpecialistPool].Request message for [VizierService.CreateStudy][google.cloud.aiplatform.v1beta1.VizierService.CreateStudy].Request message for [VizierService.CreateStudy][google.cloud.aiplatform.v1beta1.VizierService.CreateStudy].Request message for [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardExperiment].Request message for [TensorboardService.CreateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardExperiment].Details of operations that perform create Tensorboard.Details of operations that perform create Tensorboard.Request message for [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboard].Request message for [TensorboardService.CreateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboard].Request message for [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardRun].Request message for [TensorboardService.CreateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardRun].Request message for [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardTimeSeries].Request message for [TensorboardService.CreateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.CreateTensorboardTimeSeries].Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CreateTrainingPipeline].Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CreateTrainingPipeline].Request message for [VizierService.CreateTrial][google.cloud.aiplatform.v1beta1.VizierService.CreateTrial].Request message for [VizierService.CreateTrial][google.cloud.aiplatform.v1beta1.VizierService.CreateTrial].Request message for [GenAiTuningService.CreateTuningJob][google.cloud.aiplatform.v1beta1.GenAiTuningService.CreateTuningJob].Request message for [GenAiTuningService.CreateTuningJob][google.cloud.aiplatform.v1beta1.GenAiTuningService.CreateTuningJob].The storage details for CSV output content.The storage details for CSV output content.The storage details for CSV input content.The storage details for CSV input content.Result for custom code execution metric.Result for custom code execution metric.Specificies a metric that is populated by evaluating user-defined Python code.Specificies a metric that is populated by evaluating user-defined Python code.Represents a job that runs custom workloads such as a Docker container or a Python package.Represents a job that runs custom workloads such as a Docker container or a Python package.Builder for projects/{project}/locations/{location}/customJobs/{custom_job}.Represents the spec of a CustomJob.Represents the spec of a CustomJob.Spec for custom output.Spec for custom output.Spec for custom output format configuration.Spec for custom output format configuration.A piece of data in a Dataset.A piece of data in a Dataset.Builder for projects/{project}/locations/{location}/datasets/{dataset}/dataItems/{data_item}.A container for a single DataItem and Annotations on it.A container for a single DataItem and Annotations on it.DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset:DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset:Builder for projects/{project}/locations/{location}/dataLabelingJobs/{data_labeling_job}.A collection of DataItems and Annotations on them.A collection of DataItems and Annotations on them.Distribution computed over a tuning dataset.Distribution computed over a tuning dataset.Dataset bucket used to create a histogram for the distribution given a population of values.Dataset bucket used to create a histogram for the distribution given a population of values.Builder for projects/{project}/locations/{location}/datasets/{dataset}.Statistics computed over a tuning dataset.Statistics computed over a tuning dataset.Describes the dataset version.Describes the dataset version.Builder for projects/{project}/locations/{location}/datasets/{dataset}/datasetVersions/{dataset_version}.A description of resources that are dedicated to a DeployedModel or DeployedIndex, and that need a higher degree of manual configuration.A description of resources that are dedicated to a DeployedModel or DeployedIndex, and that need a higher degree of manual configuration.Specification for scale-to-zero feature.Specification for scale-to-zero feature.Request message for [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1beta1.MetadataService.DeleteArtifact].Request message for [MetadataService.DeleteArtifact][google.cloud.aiplatform.v1beta1.MetadataService.DeleteArtifact].Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.DeleteBatchPredictionJob].Request message for [JobService.DeleteBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.DeleteBatchPredictionJob].Request message for [GenAiCacheService.DeleteCachedContent][google.cloud.aiplatform.v1beta1.GenAiCacheService.DeleteCachedContent].Request message for [GenAiCacheService.DeleteCachedContent][google.cloud.aiplatform.v1beta1.GenAiCacheService.DeleteCachedContent].Request message for [MetadataService.DeleteContext][google.cloud.aiplatform.v1beta1.MetadataService.DeleteContext].Request message for [MetadataService.DeleteContext][google.cloud.aiplatform.v1beta1.MetadataService.DeleteContext].Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1beta1.JobService.DeleteCustomJob].Request message for [JobService.DeleteCustomJob][google.cloud.aiplatform.v1beta1.JobService.DeleteCustomJob].Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.DeleteDataLabelingJob].Request message for [JobService.DeleteDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.DeleteDataLabelingJob].Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1beta1.DatasetService.DeleteDataset].Request message for [DatasetService.DeleteDataset][google.cloud.aiplatform.v1beta1.DatasetService.DeleteDataset].Request message for [DatasetService.DeleteDatasetVersion][google.cloud.aiplatform.v1beta1.DatasetService.DeleteDatasetVersion].Request message for [DatasetService.DeleteDatasetVersion][google.cloud.aiplatform.v1beta1.DatasetService.DeleteDatasetVersion].Request message for DeleteDeploymentResourcePool method.Request message for DeleteDeploymentResourcePool method.Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeleteEndpoint].Request message for [EndpointService.DeleteEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.DeleteEndpoint].Request message for [FeaturestoreService.DeleteEntityTypes][].Request message for [FeaturestoreService.DeleteEntityTypes][].Details of [ExampleStoreService.DeleteExampleStore][google.cloud.aiplatform.v1beta1.ExampleStoreService.DeleteExampleStore] operation.Details of [ExampleStoreService.DeleteExampleStore][google.cloud.aiplatform.v1beta1.ExampleStoreService.DeleteExampleStore] operation.Request message for [ExampleStoreService.DeleteExampleStore][google.cloud.aiplatform.v1beta1.ExampleStoreService.DeleteExampleStore].Request message for [ExampleStoreService.DeleteExampleStore][google.cloud.aiplatform.v1beta1.ExampleStoreService.DeleteExampleStore].Request message for [MetadataService.DeleteExecution][google.cloud.aiplatform.v1beta1.MetadataService.DeleteExecution].Request message for [MetadataService.DeleteExecution][google.cloud.aiplatform.v1beta1.MetadataService.DeleteExecution].Request message for [ExtensionRegistryService.DeleteExtension][google.cloud.aiplatform.v1beta1.ExtensionRegistryService.DeleteExtension].Request message for [ExtensionRegistryService.DeleteExtension][google.cloud.aiplatform.v1beta1.ExtensionRegistryService.DeleteExtension].Request message for [FeatureRegistryService.DeleteFeatureGroup][google.cloud.aiplatform.v1beta1.FeatureRegistryService.DeleteFeatureGroup].Request message for [FeatureRegistryService.DeleteFeatureGroup][google.cloud.aiplatform.v1beta1.FeatureRegistryService.DeleteFeatureGroup].Request message for [FeatureRegistryService.DeleteFeatureMonitor][google.cloud.aiplatform.v1beta1.FeatureRegistryService.DeleteFeatureMonitor].Request message for [FeatureRegistryService.DeleteFeatureMonitor][google.cloud.aiplatform.v1beta1.FeatureRegistryService.DeleteFeatureMonitor].Request message for [FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore].Request message for [FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.DeleteFeatureOnlineStore].Request message for [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeature].Request message for [FeaturestoreService.DeleteFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeature].Request message for [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeaturestore].Request message for [FeaturestoreService.DeleteFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeaturestore].Details of operations that delete Feature values.Details of operations that delete Feature values.Request message for [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].Request message for [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].Message to select entity.Message to select entity.Message to select time range and feature.Message to select time range and feature.Response message for [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].Response message for [FeaturestoreService.DeleteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.DeleteFeatureValues].Response message if the request uses the SelectEntity option.Response message if the request uses the SelectEntity option.Response message if the request uses the SelectTimeRangeAndFeature option.Response message if the request uses the SelectTimeRangeAndFeature option.Request message for [FeatureOnlineStoreAdminService.DeleteFeatureViews][].Request message for [FeatureOnlineStoreAdminService.DeleteFeatureViews][].Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.DeleteHyperparameterTuningJob].Request message for [JobService.DeleteHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.DeleteHyperparameterTuningJob].Request message for [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeleteIndexEndpoint].Request message for [IndexEndpointService.DeleteIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeleteIndexEndpoint].Request message for [IndexService.DeleteIndex][google.cloud.aiplatform.v1beta1.IndexService.DeleteIndex].Request message for [IndexService.DeleteIndex][google.cloud.aiplatform.v1beta1.IndexService.DeleteIndex].Details of [MemoryBankService.DeleteMemory][google.cloud.aiplatform.v1beta1.MemoryBankService.DeleteMemory] operation.Details of [MemoryBankService.DeleteMemory][google.cloud.aiplatform.v1beta1.MemoryBankService.DeleteMemory] operation.Request message for [MemoryBankService.DeleteMemory][google.cloud.aiplatform.v1beta1.MemoryBankService.DeleteMemory].Request message for [MemoryBankService.DeleteMemory][google.cloud.aiplatform.v1beta1.MemoryBankService.DeleteMemory].Details of operations that perform [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].Details of operations that perform [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].Request message for [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].Request message for [MetadataService.DeleteMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.DeleteMetadataStore].Request message for [JobService.DeleteModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.DeleteModelDeploymentMonitoringJob].Request message for [JobService.DeleteModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.DeleteModelDeploymentMonitoringJob].Request message for [ModelMonitoringService.DeleteModelMonitoringJob][google.cloud.aiplatform.v1beta1.ModelMonitoringService.DeleteModelMonitoringJob].Request message for [ModelMonitoringService.DeleteModelMonitoringJob][google.cloud.aiplatform.v1beta1.ModelMonitoringService.DeleteModelMonitoringJob].Request message for [ModelMonitoringService.DeleteModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.DeleteModelMonitor].Request message for [ModelMonitoringService.DeleteModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.DeleteModelMonitor].Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel].Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel].Request message for [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1beta1.ModelService.DeleteModelVersion].Request message for [ModelService.DeleteModelVersion][google.cloud.aiplatform.v1beta1.ModelService.DeleteModelVersion].Request message for [JobService.DeleteNasJob][google.cloud.aiplatform.v1beta1.JobService.DeleteNasJob].Request message for [JobService.DeleteNasJob][google.cloud.aiplatform.v1beta1.JobService.DeleteNasJob].Request message for [NotebookService.DeleteNotebookExecutionJob]Request message for [NotebookService.DeleteNotebookExecutionJob]Request message for [NotebookService.DeleteNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.DeleteNotebookRuntime].Request message for [NotebookService.DeleteNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.DeleteNotebookRuntime].Request message for [NotebookService.DeleteNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.DeleteNotebookRuntimeTemplate].Request message for [NotebookService.DeleteNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.DeleteNotebookRuntimeTemplate].Metadata for the DeleteOnlineEvaluator operation.Metadata for the DeleteOnlineEvaluator operation.Request message for DeleteOnlineEvaluator.Request message for DeleteOnlineEvaluator.Details of operations that perform deletes of any entities.Details of operations that perform deletes of any entities.Request message for [PersistentResourceService.DeletePersistentResource][google.cloud.aiplatform.v1beta1.PersistentResourceService.DeletePersistentResource].Request message for [PersistentResourceService.DeletePersistentResource][google.cloud.aiplatform.v1beta1.PersistentResourceService.DeletePersistentResource].Request message for [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.DeletePipelineJob].Request message for [PipelineService.DeletePipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.DeletePipelineJob].Request message for [VertexRagDataService.DeleteRagCorpus][google.cloud.aiplatform.v1beta1.VertexRagDataService.DeleteRagCorpus].Request message for [VertexRagDataService.DeleteRagCorpus][google.cloud.aiplatform.v1beta1.VertexRagDataService.DeleteRagCorpus].Request message for [VertexRagDataService.DeleteRagDataSchema][google.cloud.aiplatform.v1beta1.VertexRagDataService.DeleteRagDataSchema].Request message for [VertexRagDataService.DeleteRagDataSchema][google.cloud.aiplatform.v1beta1.VertexRagDataService.DeleteRagDataSchema].Request message for [VertexRagDataService.DeleteRagFile][google.cloud.aiplatform.v1beta1.VertexRagDataService.DeleteRagFile].Request message for [VertexRagDataService.DeleteRagFile][google.cloud.aiplatform.v1beta1.VertexRagDataService.DeleteRagFile].Request message for [VertexRagDataService.DeleteRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.DeleteRagMetadata].Request message for [VertexRagDataService.DeleteRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.DeleteRagMetadata].Request message for [ReasoningEngineService.DeleteReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineService.DeleteReasoningEngine].Request message for [ReasoningEngineService.DeleteReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineService.DeleteReasoningEngine].Request message for [DatasetService.DeleteSavedQuery][google.cloud.aiplatform.v1beta1.DatasetService.DeleteSavedQuery].Request message for [DatasetService.DeleteSavedQuery][google.cloud.aiplatform.v1beta1.DatasetService.DeleteSavedQuery].Request message for [ScheduleService.DeleteSchedule][google.cloud.aiplatform.v1beta1.ScheduleService.DeleteSchedule].Request message for [ScheduleService.DeleteSchedule][google.cloud.aiplatform.v1beta1.ScheduleService.DeleteSchedule].Request message for [SessionService.DeleteSession][google.cloud.aiplatform.v1beta1.SessionService.DeleteSession].Request message for [SessionService.DeleteSession][google.cloud.aiplatform.v1beta1.SessionService.DeleteSession].Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.DeleteSpecialistPool].Request message for [SpecialistPoolService.DeleteSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.DeleteSpecialistPool].Request message for [VizierService.DeleteStudy][google.cloud.aiplatform.v1beta1.VizierService.DeleteStudy].Request message for [VizierService.DeleteStudy][google.cloud.aiplatform.v1beta1.VizierService.DeleteStudy].Request message for [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardExperiment].Request message for [TensorboardService.DeleteTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardExperiment].Request message for [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboard].Request message for [TensorboardService.DeleteTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboard].Request message for [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardRun].Request message for [TensorboardService.DeleteTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardRun].Request message for [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardTimeSeries].Request message for [TensorboardService.DeleteTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.DeleteTensorboardTimeSeries].Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.DeleteTrainingPipeline].Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.DeleteTrainingPipeline].Request message for [VizierService.DeleteTrial][google.cloud.aiplatform.v1beta1.VizierService.DeleteTrial].Request message for [VizierService.DeleteTrial][google.cloud.aiplatform.v1beta1.VizierService.DeleteTrial].A deployment of an Index.A deployment of an Index.Used to set up the auth on the DeployedIndex's private endpoint.Configuration for an authentication provider, including support for [JSON Web Token (JWT)](https://tools.ietf.org/html/draft-ietf-oauth-json-web-token-32).Configuration for an authentication provider, including support for [JSON Web Token (JWT)](https://tools.ietf.org/html/draft-ietf-oauth-json-web-token-32).Used to set up the auth on the DeployedIndex's private endpoint.Points to a DeployedIndex.Points to a DeployedIndex.A deployment of a Model.A deployment of a Model.Runtime status of the deployed model.Runtime status of the deployed model.Points to a DeployedModel.Points to a DeployedModel.Runtime operation information for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].Runtime operation information for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].Request message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].Request message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].Response message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].Response message for [IndexEndpointService.DeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.DeployIndex].A description of resources that can be shared by multiple DeployedModels, whose underlying specification consists of a DedicatedResources.A description of resources that can be shared by multiple DeployedModels, whose underlying specification consists of a DedicatedResources.Builder for projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}.Stage field indicating the current progress of a deployment.Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].Runtime operation information for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].Request message for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].Response message for [EndpointService.DeployModel][google.cloud.aiplatform.v1beta1.EndpointService.DeployModel].Runtime operation information for [ModelGardenService.Deploy][google.cloud.aiplatform.v1beta1.ModelGardenService.Deploy].Runtime operation information for [ModelGardenService.Deploy][google.cloud.aiplatform.v1beta1.ModelGardenService.Deploy].Deprecated.Runtime operation information for [ModelGardenService.DeployPublisherModel][google.cloud.aiplatform.v1beta1.ModelGardenService.DeployPublisherModel].Deprecated.Deprecated.Request message for [ModelGardenService.DeployPublisherModel][google.cloud.aiplatform.v1beta1.ModelGardenService.DeployPublisherModel].Deprecated.Deprecated.Response message for [ModelGardenService.DeployPublisherModel][google.cloud.aiplatform.v1beta1.ModelGardenService.DeployPublisherModel].Deprecated.Request message for [ModelGardenService.Deploy][google.cloud.aiplatform.v1beta1.ModelGardenService.Deploy].Request message for [ModelGardenService.Deploy][google.cloud.aiplatform.v1beta1.ModelGardenService.Deploy].The custom model to deploy from model weights in a Google Cloud Storage URI or Model Registry model.The custom model to deploy from model weights in a Google Cloud Storage URI or Model Registry model.The deploy config to use for the deployment.The deploy config to use for the deployment.The endpoint config to use for the deployment.The endpoint config to use for the deployment.The model config to use for the deployment.The model config to use for the deployment.Response message for [ModelGardenService.Deploy][google.cloud.aiplatform.v1beta1.ModelGardenService.Deploy].Response message for [ModelGardenService.Deploy][google.cloud.aiplatform.v1beta1.ModelGardenService.Deploy].Protobuf type
google.cloud.aiplatform.v1beta1.DestinationFeatureSettingProtobuf typegoogle.cloud.aiplatform.v1beta1.DestinationFeatureSettingRequest message for [PredictionService.DirectPredict][google.cloud.aiplatform.v1beta1.PredictionService.DirectPredict].Request message for [PredictionService.DirectPredict][google.cloud.aiplatform.v1beta1.PredictionService.DirectPredict].Response message for [PredictionService.DirectPredict][google.cloud.aiplatform.v1beta1.PredictionService.DirectPredict].Response message for [PredictionService.DirectPredict][google.cloud.aiplatform.v1beta1.PredictionService.DirectPredict].Request message for [PredictionService.DirectRawPredict][google.cloud.aiplatform.v1beta1.PredictionService.DirectRawPredict].Request message for [PredictionService.DirectRawPredict][google.cloud.aiplatform.v1beta1.PredictionService.DirectRawPredict].Response message for [PredictionService.DirectRawPredict][google.cloud.aiplatform.v1beta1.PredictionService.DirectRawPredict].Response message for [PredictionService.DirectRawPredict][google.cloud.aiplatform.v1beta1.PredictionService.DirectRawPredict].The input content is encapsulated and uploaded in the request.The input content is encapsulated and uploaded in the request.Represents the spec of disk options.Represents the spec of disk options.Statistics computed for datasets used for distillation.Statistics computed for datasets used for distillation.Hyperparameters for Distillation.Hyperparameters for Distillation.Tuning Spec for Distillation.Tuning Spec for Distillation.DNS peering configuration.DNS peering configuration.A list of double values.A list of double values.Describes the options to customize dynamic retrieval.Describes the options to customize dynamic retrieval.The mode of the predictor to be used in dynamic retrieval.Request message for [PredictionService.EmbedContent][google.cloud.aiplatform.v1beta1.PredictionService.EmbedContent].Request message for [PredictionService.EmbedContent][google.cloud.aiplatform.v1beta1.PredictionService.EmbedContent].Configurations for the EmbedContent API.Configurations for the EmbedContent API.Represents a downstream task the embeddings will be used for.Response message for [PredictionService.EmbedContent][google.cloud.aiplatform.v1beta1.PredictionService.EmbedContent].Response message for [PredictionService.EmbedContent][google.cloud.aiplatform.v1beta1.PredictionService.EmbedContent].A list of floats representing an embedding.A list of floats representing an embedding.Represents a customer-managed encryption key spec that can be applied to a top-level resource.Represents a customer-managed encryption key spec that can be applied to a top-level resource.Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations.Models are deployed into it, and afterwards Endpoint is called to obtain predictions and explanations.Builder for projects/{project}/locations/{location}/endpoints/{endpoint}.Builder for projects/{project}/locations/{location}/publishers/{publisher}/models/{model}.Tool to search public web data, powered by Vertex AI Search and Sec4 compliance.Tool to search public web data, powered by Vertex AI Search and Sec4 compliance.Selector for entityId.Selector for entityId.An entity type is a type of object in a system that needs to be modeled and have stored information about.An entity type is a type of object in a system that needs to be modeled and have stored information about.Builder for projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}.Represents an environment variable present in a Container or Python Module.Represents an environment variable present in a Container or Python Module.Model error analysis for each annotation.Attributed items for a given annotation, typically representing neighbors from the training sets constrained by the query type.Attributed items for a given annotation, typically representing neighbors from the training sets constrained by the query type.Model error analysis for each annotation.The query type used for finding the attributed items.True positive, false positive, or false negative.True positive, false positive, or false negative.Describes the type of the EvaluatedAnnotation.Explanation result of the prediction produced by the Model.Explanation result of the prediction produced by the Model.Operation metadata for Dataset Evaluation.Operation metadata for Dataset Evaluation.Request message for EvaluationService.EvaluateDataset.Request message for EvaluationService.EvaluateDataset.The results from an evaluation run performed by the EvaluationService.The results from an evaluation run performed by the EvaluationService.Evaluate Dataset Run Result for Tuning Job.Evaluate Dataset Run Result for Tuning Job.Request message for EvaluationService.EvaluateInstances.Request message for EvaluationService.EvaluateInstances.Response message for EvaluationService.EvaluateInstances.Response message for EvaluationService.EvaluateInstances.Evaluation Config for Tuning Job.Evaluation Config for Tuning Job.The dataset used for evaluation.The dataset used for evaluation.A single instance to be evaluated.A single instance to be evaluated.Deprecated.Deprecated: Use `google.cloud.aiplatform.master.AgentConfig` in `agent_eval_data` instead.Represents a list of tools for an agent.Represents a list of tools for an agent.Deprecated.Deprecated.A single event in the execution trace.A single event in the execution trace.Deprecated: Use `agent_eval_data` instead.Represents a single turn/invocation in the conversation.Represents a single turn/invocation in the conversation.Represents a list of events for an agent.Represents a list of events for an agent.Deprecated: Use `agent_eval_data` instead.Deprecated: Use `agent_eval_data` instead.Deprecated.Instance data used to populate placeholders in a metric prompt template.Instance data used to populate placeholders in a metric prompt template.List of standard Content messages from Gemini API.List of standard Content messages from Gemini API.Instance data specified as a map.Instance data specified as a map.Config for parsing LLM responses.Config for parsing LLM responses.Configuration for parsing the LLM response using custom code.Configuration for parsing the LLM response using custom code.An edge describing the relationship between an Artifact and an Execution in a lineage graph.An edge describing the relationship between an Artifact and an Execution in a lineage graph.Describes whether an Event's Artifact is the Execution's input or output.Actions are parts of events that are executed by the agent.Actions are parts of events that are executed by the agent.Metadata relating to a LLM response event.Metadata relating to a LLM response event.Input for exact match metric.Input for exact match metric.Spec for exact match instance.Spec for exact match instance.Exact match metric value for an instance.Exact match metric value for an instance.Results for exact match metric.Results for exact match metric.Spec for exact match metric - returns 1 if prediction and reference exactly matches, otherwise 0.Spec for exact match metric - returns 1 if prediction and reference exactly matches, otherwise 0.A single example to upload or read from the Example Store.A single example to upload or read from the Example Store.Example-based explainability that returns the nearest neighbors from the provided dataset.Example-based explainability that returns the nearest neighbors from the provided dataset.The Cloud Storage input instances.The Cloud Storage input instances.The format of the input example instances.Filters for examples' array metadata fields.The logic to use for filtering.Filters for examples' array metadata fields.Overrides for example-based explanations.Overrides for example-based explanations.Data format enum.Restrictions namespace for example-based explanations overrides.Restrictions namespace for example-based explanations overrides.Represents an executable service to manage and retrieve examples.Represents an executable service to manage and retrieve examples.Configuration for the Example Store.Configuration for the Example Store.Builder for projects/{project}/locations/{location}/exampleStores/{example_store}.Code generated by the model that is meant to be executed, and the result returned to the model.Code generated by the model that is meant to be executed, and the result returned to the model.Supported programming languages for the generated code.Request message for [ExtensionExecutionService.ExecuteExtension][google.cloud.aiplatform.v1beta1.ExtensionExecutionService.ExecuteExtension].Request message for [ExtensionExecutionService.ExecuteExtension][google.cloud.aiplatform.v1beta1.ExtensionExecutionService.ExecuteExtension].Response message for [ExtensionExecutionService.ExecuteExtension][google.cloud.aiplatform.v1beta1.ExtensionExecutionService.ExecuteExtension].Response message for [ExtensionExecutionService.ExecuteExtension][google.cloud.aiplatform.v1beta1.ExtensionExecutionService.ExecuteExtension].Instance of a general execution.Instance of a general execution.Describes the state of the Execution.Builder for projects/{project}/locations/{location}/metadataStores/{metadata_store}/executions/{execution}.Request message for [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].Request message for [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].Response message for [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].Response message for [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain].This message is a wrapper grouping Concurrent Explanations.This message is a wrapper grouping Concurrent Explanations.Explanation of a prediction (provided in [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions]) produced by the Model on a given [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].Explanation of a prediction (provided in [PredictResponse.predictions][google.cloud.aiplatform.v1beta1.PredictResponse.predictions]) produced by the Model on a given [instance][google.cloud.aiplatform.v1beta1.ExplainRequest.instances].Metadata describing the Model's input and output for explanation.Metadata describing the Model's input and output for explanation.Metadata of the input of a feature.Metadata of the input of a feature.Defines how a feature is encoded.Domain details of the input feature value.Domain details of the input feature value.Visualization configurations for image explanation.Visualization configurations for image explanation.The color scheme used for highlighting areas.How the original image is displayed in the visualization.Whether to only highlight pixels with positive contributions, negative or both.Type of the image visualization.Metadata of the prediction output to be explained.Metadata of the prediction output to be explained.The [ExplanationMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata] entries that can be overridden at [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.The [ExplanationMetadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata] entries that can be overridden at [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.The [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata] entries to be overridden.The [input metadata][google.cloud.aiplatform.v1beta1.ExplanationMetadata.InputMetadata] entries to be overridden.Parameters to configure explaining for Model's predictions.Parameters to configure explaining for Model's predictions.Specification of Model explanation.Specification of Model explanation.The [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] entries that can be overridden at [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.The [ExplanationSpec][google.cloud.aiplatform.v1beta1.ExplanationSpec] entries that can be overridden at [online explanation][google.cloud.aiplatform.v1beta1.PredictionService.Explain] time.Describes what part of the Dataset is to be exported, the destination of the export and how to export.Describes what part of the Dataset is to be exported, the destination of the export and how to export.Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].Runtime operation information for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].Request message for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].Response message for [DatasetService.ExportData][google.cloud.aiplatform.v1beta1.DatasetService.ExportData].Details of operations that exports Features values.Details of operations that exports Features values.Request message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].Request message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].Describes exporting all historical Feature values of all entities of the EntityType between [start_time, end_time].Describes exporting all historical Feature values of all entities of the EntityType between [start_time, end_time].Describes exporting the latest Feature values of all entities of the EntityType between [start_time, snapshot_time].Describes exporting the latest Feature values of all entities of the EntityType between [start_time, snapshot_time].Response message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].Response message for [FeaturestoreService.ExportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ExportFeatureValues].Assigns the input data to training, validation, and test sets as per the given fractions.Assigns the input data to training, validation, and test sets as per the given fractions.Details of [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel] operation.Details of [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel] operation.Further describes the output of the ExportModel.Further describes the output of the ExportModel.Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel].Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel].Output configuration for the Model export.Output configuration for the Model export.Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel] operation.Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel] operation.Runtime operation information for [ModelGardenService.ExportPublisherModel][google.cloud.aiplatform.v1beta1.ModelGardenService.ExportPublisherModel].Runtime operation information for [ModelGardenService.ExportPublisherModel][google.cloud.aiplatform.v1beta1.ModelGardenService.ExportPublisherModel].Request message for [ModelGardenService.ExportPublisherModel][google.cloud.aiplatform.v1beta1.ModelGardenService.ExportPublisherModel].Request message for [ModelGardenService.ExportPublisherModel][google.cloud.aiplatform.v1beta1.ModelGardenService.ExportPublisherModel].Response message for [ModelGardenService.ExportPublisherModel][google.cloud.aiplatform.v1beta1.ModelGardenService.ExportPublisherModel].Response message for [ModelGardenService.ExportPublisherModel][google.cloud.aiplatform.v1beta1.ModelGardenService.ExportPublisherModel].Request message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].Request message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].Response message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].Response message for [TensorboardService.ExportTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ExportTensorboardTimeSeriesData].Extensions are tools for large language models to access external data, run computations, etc.Extensions are tools for large language models to access external data, run computations, etc.Manifest spec of an Extension needed for runtime execution.The API specification shown to the LLM.The API specification shown to the LLM.Manifest spec of an Extension needed for runtime execution.Builder for projects/{project}/locations/{location}/extensions/{extension}.Operation of an extension.Operation of an extension.PrivateExtensionConfig configuration for the extension.PrivateExtensionConfig configuration for the extension.The fact used in grounding.The fact used in grounding.Configuration for faster model deployment.Configuration for faster model deployment.Feature Metadata information.Feature Metadata information.A list of historical [SnapshotAnalysis][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis] or [ImportFeaturesAnalysis][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis] stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time] descending.A list of historical [SnapshotAnalysis][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.SnapshotAnalysis] or [ImportFeaturesAnalysis][google.cloud.aiplatform.v1beta1.FeaturestoreMonitoringConfig.ImportFeaturesAnalysis] stats requested by user, sorted by [FeatureStatsAnomaly.start_time][google.cloud.aiplatform.v1beta1.FeatureStatsAnomaly.start_time] descending.If the objective in the request is both Import Feature Analysis and Snapshot Analysis, this objective could be one of them.Only applicable for Vertex AI Legacy Feature Store.Vertex AI Feature Group.Input source type for BigQuery Tables and Views.Input source type for BigQuery Tables and Views.Protobuf typegoogle.cloud.aiplatform.v1beta1.FeatureGroup.BigQuery.TimeSeriesProtobuf typegoogle.cloud.aiplatform.v1beta1.FeatureGroup.BigQuery.TimeSeriesVertex AI Feature Group.Service agent type used during jobs under a FeatureGroup.Builder for projects/{project}/locations/{location}/featureGroups/{feature_group}.Vertex AI Feature Monitor.Vertex AI Feature Monitor.Vertex AI Feature Monitor Job.Vertex AI Feature Monitor Job.Choices of the trigger type.Summary from the FeatureMonitorJob.Summary from the FeatureMonitorJob.Builder for projects/{project}/locations/{location}/featureGroups/{feature_group}/featureMonitors/{feature_monitor}/featureMonitorJobs/{feature_monitor_job}.Builder for projects/{project}/locations/{location}/featureGroups/{feature_group}/featureMonitors/{feature_monitor}.Builder for projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entity_type}/features/{feature}.Builder for projects/{project}/locations/{location}/featureGroups/{feature_group}/features/{feature}.Noise sigma by features.Noise sigma by features.Noise sigma for a single feature.Noise sigma for a single feature.Vertex AI Feature Online Store provides a centralized repository for serving ML features and embedding indexes at low latency.Protobuf typegoogle.cloud.aiplatform.v1beta1.FeatureOnlineStore.BigtableProtobuf typegoogle.cloud.aiplatform.v1beta1.FeatureOnlineStore.Bigtable.AutoScalingProtobuf typegoogle.cloud.aiplatform.v1beta1.FeatureOnlineStore.Bigtable.AutoScalingMetadata of the Bigtable instance.Metadata of the Bigtable instance.Protobuf typegoogle.cloud.aiplatform.v1beta1.FeatureOnlineStore.BigtableVertex AI Feature Online Store provides a centralized repository for serving ML features and embedding indexes at low latency.The dedicated serving endpoint for this FeatureOnlineStore.The dedicated serving endpoint for this FeatureOnlineStore.Deprecated.Deprecated: This sub message is no longer needed anymore and embedding management is automatically enabled when specifying Optimized storage type.Deprecated.Optimized storage typeOptimized storage typePossible states a featureOnlineStore can have.Builder for projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}.Feature selection configuration for the FeatureMonitor.Feature selection configuration for the FeatureMonitor.Feature configuration.Feature configuration.Selector for Features of an EntityType.Selector for Features of an EntityType.Stats and Anomaly generated by FeatureMonitorJobs.Stats and Anomaly generated by FeatureMonitorJobs.Defines how to select FeatureStatsAndAnomaly to be populated in response.Defines how to select FeatureStatsAndAnomaly to be populated in response.Stats and Anomaly generated at specific timestamp for specific Feature.Stats and Anomaly generated at specific timestamp for specific Feature.Vertex AI Feature Store provides a centralized repository for organizing, storing, and serving ML features.Vertex AI Feature Store provides a centralized repository for organizing, storing, and serving ML features.OnlineServingConfig specifies the details for provisioning online serving resources.OnlineServingConfig specifies the details for provisioning online serving resources.Online serving scaling configuration.Online serving scaling configuration.Possible states a featurestore can have.Configuration of how features in Featurestore are monitored.Configuration of how features in Featurestore are monitored.Configuration of the Featurestore's ImportFeature Analysis Based Monitoring.Defines the baseline to do anomaly detection for feature values imported by each [ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues] operation.Configuration of the Featurestore's ImportFeature Analysis Based Monitoring.The state defines whether to enable ImportFeature analysis.Configuration of the Featurestore's Snapshot Analysis Based Monitoring.Configuration of the Featurestore's Snapshot Analysis Based Monitoring.The config for Featurestore Monitoring threshold.The config for Featurestore Monitoring threshold.Builder for projects/{project}/locations/{location}/featurestores/{featurestore}.Value for a feature.Value for a feature.Metadata of feature value.Metadata of feature value.A destination location for Feature values and format.A destination location for Feature values and format.Container for list of values.Container for list of values.FeatureView is representation of values that the FeatureOnlineStore will serve based on its syncConfig.Protobuf typegoogle.cloud.aiplatform.v1beta1.FeatureView.BigQuerySourceProtobuf typegoogle.cloud.aiplatform.v1beta1.FeatureView.BigQuerySourceMetadata for the Cloud Bigtable that supports directly interacting Bigtable instances.Metadata for the Cloud Bigtable that supports directly interacting Bigtable instances.FeatureView is representation of values that the FeatureOnlineStore will serve based on its syncConfig.A Feature Registry source for features that need to be synced to Online Store.A Feature Registry source for features that need to be synced to Online Store.Features belonging to a single feature group that will be synced to Online Store.Features belonging to a single feature group that will be synced to Online Store.Configuration for vector indexing.Configuration options for using brute force search.Configuration options for using brute force search.Configuration for vector indexing.The distance measure used in nearest neighbor search.Configuration options for the tree-AH algorithm.Configuration options for the tree-AH algorithm.Configuration for FeatureViews created in Optimized FeatureOnlineStore.Configuration for FeatureViews created in Optimized FeatureOnlineStore.Service agent type used during data sync.Configuration for Sync.Configuration for Sync.Deprecated.Protobuf typegoogle.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.BruteForceConfigProtobuf typegoogle.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.BruteForceConfigDeprecated.Protobuf enumgoogle.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.DistanceMeasureTypeProtobuf typegoogle.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.TreeAHConfigProtobuf typegoogle.cloud.aiplatform.v1beta1.FeatureView.VectorSearchConfig.TreeAHConfigDeprecated.A Vertex Rag source for features that need to be synced to Online Store.A Vertex Rag source for features that need to be synced to Online Store.Format of the data in the Feature View.Lookup key for a feature view.Lookup key for a feature view.ID that is comprised from several parts (columns).ID that is comprised from several parts (columns).Request message for [FeatureOnlineStoreService.FeatureViewDirectWrite][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService.FeatureViewDirectWrite].Request message for [FeatureOnlineStoreService.FeatureViewDirectWrite][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService.FeatureViewDirectWrite].A data key and associated feature values to write to the feature view.A data key and associated feature values to write to the feature view.Feature name & value pair.Feature name & value pair.Feature value and timestamp.Feature value and timestamp.Response message for [FeatureOnlineStoreService.FeatureViewDirectWrite][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService.FeatureViewDirectWrite].Response message for [FeatureOnlineStoreService.FeatureViewDirectWrite][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService.FeatureViewDirectWrite].Details about the write for each key.Details about the write for each key.Builder for projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}.FeatureViewSync is a representation of sync operation which copies data from data source to Feature View in Online Store.FeatureViewSync is a representation of sync operation which copies data from data source to Feature View in Online Store.Summary from the Sync job.Summary from the Sync job.Builder for projects/{project}/locations/{location}/featureOnlineStores/{feature_online_store}/featureViews/{feature_view}/featureViewSyncs/feature_view_sync.Request message for [ExampleStoreService.FetchExamples][google.cloud.aiplatform.v1beta1.ExampleStoreService.FetchExamples].Request message for [ExampleStoreService.FetchExamples][google.cloud.aiplatform.v1beta1.ExampleStoreService.FetchExamples].Response message for [ExampleStoreService.FetchExamples][google.cloud.aiplatform.v1beta1.ExampleStoreService.FetchExamples].Response message for [ExampleStoreService.FetchExamples][google.cloud.aiplatform.v1beta1.ExampleStoreService.FetchExamples].Request message for [FeatureOnlineStoreService.FetchFeatureValues][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService.FetchFeatureValues].Request message for [FeatureOnlineStoreService.FetchFeatureValues][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService.FetchFeatureValues].Deprecated.Response message for [FeatureOnlineStoreService.FetchFeatureValues][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService.FetchFeatureValues]Response message for [FeatureOnlineStoreService.FetchFeatureValues][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService.FetchFeatureValues]Response structure in the format of key (feature name) and (feature) value pair.Response structure in the format of key (feature name) and (feature) value pair.Feature name & value pair.Feature name & value pair.Request message for [EndpointService.FetchPublisherModelConfig][google.cloud.aiplatform.v1beta1.EndpointService.FetchPublisherModelConfig].Request message for [EndpointService.FetchPublisherModelConfig][google.cloud.aiplatform.v1beta1.EndpointService.FetchPublisherModelConfig].URI based data.URI based data.RagFile status.RagFile status.RagFile state.Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored.Assigns input data to training, validation, and test sets based on the given filters, data pieces not matched by any filter are ignored.The request message for [MatchService.FindNeighbors][google.cloud.aiplatform.v1beta1.MatchService.FindNeighbors].The request message for [MatchService.FindNeighbors][google.cloud.aiplatform.v1beta1.MatchService.FindNeighbors].A query to find a number of the nearest neighbors (most similar vectors) of a vector.A query to find a number of the nearest neighbors (most similar vectors) of a vector.Parameters for RRF algorithm that combines search results.Parameters for RRF algorithm that combines search results.The response message for [MatchService.FindNeighbors][google.cloud.aiplatform.v1beta1.MatchService.FindNeighbors].The response message for [MatchService.FindNeighbors][google.cloud.aiplatform.v1beta1.MatchService.FindNeighbors].Nearest neighbors for one query.Nearest neighbors for one query.A neighbor of the query vector.A neighbor of the query vector.FlexStart is used to schedule the deployment workload on DWS resource.FlexStart is used to schedule the deployment workload on DWS resource.Input for fluency metric.Input for fluency metric.Spec for fluency instance.Spec for fluency instance.Spec for fluency result.Spec for fluency result.Spec for fluency score metric.Spec for fluency score metric.Assigns the input data to training, validation, and test sets as per the given fractions.Assigns the input data to training, validation, and test sets as per the given fractions.Input for fulfillment metric.Input for fulfillment metric.Spec for fulfillment instance.Spec for fulfillment instance.Spec for fulfillment result.Spec for fulfillment result.Spec for fulfillment metric.Spec for fulfillment metric.Resources for an fft model.Resources for an fft model.The type of deployment.A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values.A predicted [FunctionCall] returned from the model that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing the parameters and their values.Function calling config.Function calling config.Function calling mode.Structured representation of a function declaration as defined by the [OpenAPI 3.0 specification](https://spec.openapis.org/oas/v3.0.3).Structured representation of a function declaration as defined by the [OpenAPI 3.0 specification](https://spec.openapis.org/oas/v3.0.3).The result output from a [FunctionCall] that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function is used as context to the model.The result output from a [FunctionCall] that contains a string representing the [FunctionDeclaration.name] and a structured JSON object containing any output from the function is used as context to the model.Raw media bytes for function response.Raw media bytes for function response.URI based data for function response.URI based data for function response.A datatype containing media that is part of a `FunctionResponse` message.A datatype containing media that is part of a `FunctionResponse` message.The Google Cloud Storage location where the output is to be written to.The Google Cloud Storage location where the output is to be written to.The Google Cloud Storage location for the input content.The Google Cloud Storage location for the input content.Format for Gemini examples used for Vertex Multimodal datasets.Format for Gemini examples used for Vertex Multimodal datasets.Configuration for how to read Gemini requests from a multimodal dataset.Configuration for how to read Gemini requests from a multimodal dataset.Template configuration to create Gemini examples from a multimodal dataset.Template configuration to create Gemini examples from a multimodal dataset.Configuration for GenAiAdvancedFeatures.Configuration for GenAiAdvancedFeatures.Configuration for Retrieval Augmented Generation feature.Configuration for Retrieval Augmented Generation feature.Request message for [PredictionService.GenerateContent].Request message for [PredictionService.GenerateContent].Response message for [PredictionService.GenerateContent].Response message for [PredictionService.GenerateContent].Content filter results for a prompt sent in the request.Blocked reason enumeration.Content filter results for a prompt sent in the request.Usage metadata about response(s).Usage metadata about response(s).Request message for [FeatureOnlineStoreService.GenerateFetchAccessToken][].Request message for [FeatureOnlineStoreService.GenerateFetchAccessToken][].Response message for [FeatureOnlineStoreService.GenerateFetchAccessToken][].Response message for [FeatureOnlineStoreService.GenerateFetchAccessToken][].Request message for EvaluationService.GenerateInstanceRubrics.Request message for EvaluationService.GenerateInstanceRubrics.Response message for EvaluationService.GenerateInstanceRubrics.Response message for EvaluationService.GenerateInstanceRubrics.Details of [MemoryBankService.GenerateMemories][google.cloud.aiplatform.v1beta1.MemoryBankService.GenerateMemories] operation.Details of [MemoryBankService.GenerateMemories][google.cloud.aiplatform.v1beta1.MemoryBankService.GenerateMemories] operation.Request message for [MemoryBankService.GenerateMemories][google.cloud.aiplatform.v1beta1.MemoryBankService.GenerateMemories].Request message for [MemoryBankService.GenerateMemories][google.cloud.aiplatform.v1beta1.MemoryBankService.GenerateMemories].Defines a direct source of content from which to generate the memories.Defines a direct source of content from which to generate the memories.A single piece of conversation from which to generate memories.A single piece of conversation from which to generate memories.Defines a direct source of memories that should be uploaded to Memory Bank with consolidation.Defines a direct source of memories that should be uploaded to Memory Bank with consolidation.A direct memory to upload to Memory Bank.A direct memory to upload to Memory Bank.Defines an Agent Engine Session from which to generate the memories.Defines an Agent Engine Session from which to generate the memories.Response message for [MemoryBankService.GenerateMemories][google.cloud.aiplatform.v1beta1.MemoryBankService.GenerateMemories].Response message for [MemoryBankService.GenerateMemories][google.cloud.aiplatform.v1beta1.MemoryBankService.GenerateMemories].A memory generated by the operation.Actions that can be performed on a Memory.A memory generated by the operation.Generate video response.Generate video response.Generation config.Generation config.Media resolution for the input media.The modalities of the response.Config for model selection.Config for model selection.Options for feature selection preference.The configuration for routing the request to a specific model.When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference.When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference.The model routing preference.The configuration for routing the request to a specific model.When manual routing is set, the specified model will be used directly.When manual routing is set, the specified model will be used directly.Config for thinking features.Config for thinking features.Generic Metadata shared by all operations.Generic Metadata shared by all operations.Contains information about the source of the models generated from Generative AI Studio.Contains information about the source of the models generated from Generative AI Studio.Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1beta1.DatasetService.GetAnnotationSpec].Request message for [DatasetService.GetAnnotationSpec][google.cloud.aiplatform.v1beta1.DatasetService.GetAnnotationSpec].Request message for [MetadataService.GetArtifact][google.cloud.aiplatform.v1beta1.MetadataService.GetArtifact].Request message for [MetadataService.GetArtifact][google.cloud.aiplatform.v1beta1.MetadataService.GetArtifact].Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob].Request message for [JobService.GetBatchPredictionJob][google.cloud.aiplatform.v1beta1.JobService.GetBatchPredictionJob].Request message for [GenAiCacheService.GetCachedContent][google.cloud.aiplatform.v1beta1.GenAiCacheService.GetCachedContent].Request message for [GenAiCacheService.GetCachedContent][google.cloud.aiplatform.v1beta1.GenAiCacheService.GetCachedContent].Request message for [MetadataService.GetContext][google.cloud.aiplatform.v1beta1.MetadataService.GetContext].Request message for [MetadataService.GetContext][google.cloud.aiplatform.v1beta1.MetadataService.GetContext].Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob].Request message for [JobService.GetCustomJob][google.cloud.aiplatform.v1beta1.JobService.GetCustomJob].Request message for [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.GetDataLabelingJob].Request message for [JobService.GetDataLabelingJob][google.cloud.aiplatform.v1beta1.JobService.GetDataLabelingJob].Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1beta1.DatasetService.GetDataset].Request message for [DatasetService.GetDataset][google.cloud.aiplatform.v1beta1.DatasetService.GetDataset].Request message for [DatasetService.GetDatasetVersion][google.cloud.aiplatform.v1beta1.DatasetService.GetDatasetVersion].Request message for [DatasetService.GetDatasetVersion][google.cloud.aiplatform.v1beta1.DatasetService.GetDatasetVersion].Request message for GetDeploymentResourcePool method.Request message for GetDeploymentResourcePool method.Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.GetEndpoint]Request message for [EndpointService.GetEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.GetEndpoint]Request message for [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetEntityType].Request message for [FeaturestoreService.GetEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetEntityType].Request message for [ExampleStoreService.GetExampleStore][google.cloud.aiplatform.v1beta1.ExampleStoreService.GetExampleStore].Request message for [ExampleStoreService.GetExampleStore][google.cloud.aiplatform.v1beta1.ExampleStoreService.GetExampleStore].Request message for [MetadataService.GetExecution][google.cloud.aiplatform.v1beta1.MetadataService.GetExecution].Request message for [MetadataService.GetExecution][google.cloud.aiplatform.v1beta1.MetadataService.GetExecution].Request message for [ExtensionRegistryService.GetExtension][google.cloud.aiplatform.v1beta1.ExtensionRegistryService.GetExtension].Request message for [ExtensionRegistryService.GetExtension][google.cloud.aiplatform.v1beta1.ExtensionRegistryService.GetExtension].Request message for [FeatureRegistryService.GetFeatureGroup][google.cloud.aiplatform.v1beta1.FeatureRegistryService.GetFeatureGroup].Request message for [FeatureRegistryService.GetFeatureGroup][google.cloud.aiplatform.v1beta1.FeatureRegistryService.GetFeatureGroup].Request message for [FeatureRegistryService.GetFeatureMonitorJob][google.cloud.aiplatform.v1beta1.FeatureRegistryService.GetFeatureMonitorJob].Request message for [FeatureRegistryService.GetFeatureMonitorJob][google.cloud.aiplatform.v1beta1.FeatureRegistryService.GetFeatureMonitorJob].Request message for [FeatureRegistryService.GetFeatureMonitor][google.cloud.aiplatform.v1beta1.FeatureRegistryService.GetFeatureMonitor].Request message for [FeatureRegistryService.GetFeatureMonitor][google.cloud.aiplatform.v1beta1.FeatureRegistryService.GetFeatureMonitor].Request message for [FeatureOnlineStoreAdminService.GetFeatureOnlineStore][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.GetFeatureOnlineStore].Request message for [FeatureOnlineStoreAdminService.GetFeatureOnlineStore][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.GetFeatureOnlineStore].Request message for [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeature].Request message for [FeaturestoreService.GetFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeature].Request message for [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeaturestore].Request message for [FeaturestoreService.GetFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.GetFeaturestore].Request message for [FeatureOnlineStoreAdminService.GetFeatureView][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.GetFeatureView].Request message for [FeatureOnlineStoreAdminService.GetFeatureView][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.GetFeatureView].Request message for [FeatureOnlineStoreAdminService.GetFeatureViewSync][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.GetFeatureViewSync].Request message for [FeatureOnlineStoreAdminService.GetFeatureViewSync][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.GetFeatureViewSync].Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob].Request message for [JobService.GetHyperparameterTuningJob][google.cloud.aiplatform.v1beta1.JobService.GetHyperparameterTuningJob].Request message for [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.GetIndexEndpoint]Request message for [IndexEndpointService.GetIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.GetIndexEndpoint]Request message for [IndexService.GetIndex][google.cloud.aiplatform.v1beta1.IndexService.GetIndex]Request message for [IndexService.GetIndex][google.cloud.aiplatform.v1beta1.IndexService.GetIndex]Request message for [MemoryBankService.GetMemory][google.cloud.aiplatform.v1beta1.MemoryBankService.GetMemory].Request message for [MemoryBankService.GetMemory][google.cloud.aiplatform.v1beta1.MemoryBankService.GetMemory].Request message for [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataSchema].Request message for [MetadataService.GetMetadataSchema][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataSchema].Request message for [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataStore].Request message for [MetadataService.GetMetadataStore][google.cloud.aiplatform.v1beta1.MetadataService.GetMetadataStore].Request message for [JobService.GetModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.GetModelDeploymentMonitoringJob].Request message for [JobService.GetModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.GetModelDeploymentMonitoringJob].Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluation].Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluation].Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluationSlice].Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluationSlice].Request message for [ModelMonitoringService.GetModelMonitoringJob][google.cloud.aiplatform.v1beta1.ModelMonitoringService.GetModelMonitoringJob].Request message for [ModelMonitoringService.GetModelMonitoringJob][google.cloud.aiplatform.v1beta1.ModelMonitoringService.GetModelMonitoringJob].Request message for [ModelMonitoringService.GetModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.GetModelMonitor].Request message for [ModelMonitoringService.GetModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.GetModelMonitor].Request message for [ModelService.GetModel][google.cloud.aiplatform.v1beta1.ModelService.GetModel].Request message for [ModelService.GetModel][google.cloud.aiplatform.v1beta1.ModelService.GetModel].Request message for [JobService.GetNasJob][google.cloud.aiplatform.v1beta1.JobService.GetNasJob].Request message for [JobService.GetNasJob][google.cloud.aiplatform.v1beta1.JobService.GetNasJob].Request message for [JobService.GetNasTrialDetail][google.cloud.aiplatform.v1beta1.JobService.GetNasTrialDetail].Request message for [JobService.GetNasTrialDetail][google.cloud.aiplatform.v1beta1.JobService.GetNasTrialDetail].Request message for [NotebookService.GetNotebookExecutionJob]Request message for [NotebookService.GetNotebookExecutionJob]Request message for [NotebookService.GetNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.GetNotebookRuntime]Request message for [NotebookService.GetNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.GetNotebookRuntime]Request message for [NotebookService.GetNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.GetNotebookRuntimeTemplate]Request message for [NotebookService.GetNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.GetNotebookRuntimeTemplate]Request message for GetOnlineEvaluator.Request message for GetOnlineEvaluator.Request message for [PersistentResourceService.GetPersistentResource][google.cloud.aiplatform.v1beta1.PersistentResourceService.GetPersistentResource].Request message for [PersistentResourceService.GetPersistentResource][google.cloud.aiplatform.v1beta1.PersistentResourceService.GetPersistentResource].Request message for [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob].Request message for [PipelineService.GetPipelineJob][google.cloud.aiplatform.v1beta1.PipelineService.GetPipelineJob].Request message for [ModelGardenService.GetPublisherModel][google.cloud.aiplatform.v1beta1.ModelGardenService.GetPublisherModel]Request message for [ModelGardenService.GetPublisherModel][google.cloud.aiplatform.v1beta1.ModelGardenService.GetPublisherModel]Request message for [VertexRagDataService.GetRagCorpus][google.cloud.aiplatform.v1beta1.VertexRagDataService.GetRagCorpus]Request message for [VertexRagDataService.GetRagCorpus][google.cloud.aiplatform.v1beta1.VertexRagDataService.GetRagCorpus]Request message for [VertexRagDataService.GetRagDataSchema][google.cloud.aiplatform.v1beta1.VertexRagDataService.GetRagDataSchema]Request message for [VertexRagDataService.GetRagDataSchema][google.cloud.aiplatform.v1beta1.VertexRagDataService.GetRagDataSchema]Request message for [VertexRagDataService.GetRagEngineConfig][google.cloud.aiplatform.v1beta1.VertexRagDataService.GetRagEngineConfig]Request message for [VertexRagDataService.GetRagEngineConfig][google.cloud.aiplatform.v1beta1.VertexRagDataService.GetRagEngineConfig]Request message for [VertexRagDataService.GetRagFile][google.cloud.aiplatform.v1beta1.VertexRagDataService.GetRagFile]Request message for [VertexRagDataService.GetRagFile][google.cloud.aiplatform.v1beta1.VertexRagDataService.GetRagFile]Request message for [VertexRagDataService.GetRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.GetRagMetadata]Request message for [VertexRagDataService.GetRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.GetRagMetadata]Request message for [ReasoningEngineService.GetReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineService.GetReasoningEngine].Request message for [ReasoningEngineService.GetReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineService.GetReasoningEngine].Request message for [ScheduleService.GetSchedule][google.cloud.aiplatform.v1beta1.ScheduleService.GetSchedule].Request message for [ScheduleService.GetSchedule][google.cloud.aiplatform.v1beta1.ScheduleService.GetSchedule].Request message for [SessionService.GetSession][google.cloud.aiplatform.v1beta1.SessionService.GetSession].Request message for [SessionService.GetSession][google.cloud.aiplatform.v1beta1.SessionService.GetSession].Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.GetSpecialistPool].Request message for [SpecialistPoolService.GetSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.GetSpecialistPool].Request message for [VizierService.GetStudy][google.cloud.aiplatform.v1beta1.VizierService.GetStudy].Request message for [VizierService.GetStudy][google.cloud.aiplatform.v1beta1.VizierService.GetStudy].Request message for [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardExperiment].Request message for [TensorboardService.GetTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardExperiment].Request message for [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboard].Request message for [TensorboardService.GetTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboard].Request message for [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardRun].Request message for [TensorboardService.GetTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardRun].Request message for [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardTimeSeries].Request message for [TensorboardService.GetTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.GetTensorboardTimeSeries].Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline].Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline].Request message for [VizierService.GetTrial][google.cloud.aiplatform.v1beta1.VizierService.GetTrial].Request message for [VizierService.GetTrial][google.cloud.aiplatform.v1beta1.VizierService.GetTrial].Request message for [GenAiTuningService.GetTuningJob][google.cloud.aiplatform.v1beta1.GenAiTuningService.GetTuningJob].Request message for [GenAiTuningService.GetTuningJob][google.cloud.aiplatform.v1beta1.GenAiTuningService.GetTuningJob].The Google Drive location for the input content.The Google Drive location for the input content.The type and ID of the Google Drive resource.The type and ID of the Google Drive resource.The type of the Google Drive resource.Tool to retrieve public maps data for grounding, powered by Google.Tool to retrieve public maps data for grounding, powered by Google.Tool to retrieve public web data for grounding, powered by Google.Tool to retrieve public web data for grounding, powered by Google.Input for groundedness metric.Input for groundedness metric.Spec for groundedness instance.Spec for groundedness instance.Spec for groundedness result.Spec for groundedness result.Spec for groundedness metric.Spec for groundedness metric.Grounding chunk.Grounding chunk.Chunk from Google Maps.Chunk from Google Maps.Protobuf typegoogle.cloud.aiplatform.v1beta1.GroundingChunk.Maps.PlaceAnswerSourcesProtobuf typegoogle.cloud.aiplatform.v1beta1.GroundingChunk.Maps.PlaceAnswerSourcesEncapsulates a review snippet.Encapsulates a review snippet.Chunk from context retrieved by the retrieval tools.Chunk from context retrieved by the retrieval tools.Chunk from the web.Chunk from the web.Metadata returned to client when grounding is enabled.Metadata returned to client when grounding is enabled.Source content flagging uri for a place or review.Source content flagging uri for a place or review.Grounding support.Grounding support.Harm categories that will block the content.Enum of location an HTTP element can be.Represents a HyperparameterTuningJob.Represents a HyperparameterTuningJob.Builder for projects/{project}/locations/{location}/hyperparameterTuningJobs/{hyperparameter_tuning_job}.Matcher for Features of an EntityType by Feature ID.Matcher for Features of an EntityType by Feature ID.Config for image generation features.Config for image generation features.Describes the location from where we import data into a Dataset, together with the labels that will be applied to the DataItems and the Annotations.Describes the location from where we import data into a Dataset, together with the labels that will be applied to the DataItems and the Annotations.Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].Runtime operation information for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].Request message for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].Response message for [DatasetService.ImportData][google.cloud.aiplatform.v1beta1.DatasetService.ImportData].Details of [ExtensionRegistryService.ImportExtension][google.cloud.aiplatform.v1beta1.ExtensionRegistryService.ImportExtension] operation.Details of [ExtensionRegistryService.ImportExtension][google.cloud.aiplatform.v1beta1.ExtensionRegistryService.ImportExtension] operation.Request message for [ExtensionRegistryService.ImportExtension][google.cloud.aiplatform.v1beta1.ExtensionRegistryService.ImportExtension].Request message for [ExtensionRegistryService.ImportExtension][google.cloud.aiplatform.v1beta1.ExtensionRegistryService.ImportExtension].Details of operations that perform import Feature values.Details of operations that perform import Feature values.Request message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].Request message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].Defines the Feature value(s) to import.Defines the Feature value(s) to import.Response message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].Response message for [FeaturestoreService.ImportFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreService.ImportFeatureValues].Runtime operation information for [IndexService.ImportIndex][google.cloud.aiplatform.v1beta1.IndexService.ImportIndex].Runtime operation information for [IndexService.ImportIndex][google.cloud.aiplatform.v1beta1.IndexService.ImportIndex].Request message for [IndexService.ImportIndex][google.cloud.aiplatform.v1beta1.IndexService.ImportIndex].Request message for [IndexService.ImportIndex][google.cloud.aiplatform.v1beta1.IndexService.ImportIndex].Configuration for importing data from an external source.Configuration for importing data from a BigQuery table.Configuration for importing data from a BigQuery table.Configuration for importing data from an external source.Mapping of datapoint fields to column names for columnar data sources.Mapping of datapoint fields to column names for columnar data sources.Restrictions on numeric values.Restrictions on numeric values.The type of numeric value for the restrict.Restrictions on string values.Restrictions on string values.Request message for [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.ImportModelEvaluation]Request message for [ModelService.ImportModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.ImportModelEvaluation]Config for importing RagFiles.Config for importing RagFiles.Runtime operation information for [VertexRagDataService.ImportRagFiles][google.cloud.aiplatform.v1beta1.VertexRagDataService.ImportRagFiles].Runtime operation information for [VertexRagDataService.ImportRagFiles][google.cloud.aiplatform.v1beta1.VertexRagDataService.ImportRagFiles].Request message for [VertexRagDataService.ImportRagFiles][google.cloud.aiplatform.v1beta1.VertexRagDataService.ImportRagFiles].Request message for [VertexRagDataService.ImportRagFiles][google.cloud.aiplatform.v1beta1.VertexRagDataService.ImportRagFiles].Response message for [VertexRagDataService.ImportRagFiles][google.cloud.aiplatform.v1beta1.VertexRagDataService.ImportRagFiles].Response message for [VertexRagDataService.ImportRagFiles][google.cloud.aiplatform.v1beta1.VertexRagDataService.ImportRagFiles].A representation of a collection of database items organized in a way that allows for approximate nearest neighbor (a.k.a ANN) algorithms search.A representation of a collection of database items organized in a way that allows for approximate nearest neighbor (a.k.a ANN) algorithms search.The update method of an Index.A datapoint of Index.A datapoint of Index.Crowding tag is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.Crowding tag is a constraint on a neighbor list produced by nearest neighbor search requiring that no more than some value k' of the k neighbors returned have the same value of crowding_attribute.This field allows restricts to be based on numeric comparisons rather than categorical tokens.This field allows restricts to be based on numeric comparisons rather than categorical tokens.Which comparison operator to use.Restriction of a datapoint which describe its attributes(tokens) from each of several attribute categories(namespaces).Restriction of a datapoint which describe its attributes(tokens) from each of several attribute categories(namespaces).Feature embedding vector for sparse index.Feature embedding vector for sparse index.Indexes are deployed into it.Indexes are deployed into it.Builder for projects/{project}/locations/{location}/indexEndpoints/{index_endpoint}.Builder for projects/{project}/locations/{location}/indexes/{index}.IndexPrivateEndpoints proto is used to provide paths for users to send requests via private endpoints (e.g. private service access, private service connect).IndexPrivateEndpoints proto is used to provide paths for users to send requests via private endpoints (e.g. private service access, private service connect).Stats of the Index.Stats of the Index.Specifies Vertex AI owned input data to be used for training, and possibly evaluating, the Model.Specifies Vertex AI owned input data to be used for training, and possibly evaluating, the Model.A list of int64 values.A list of int64 values.An attribution method that computes the Aumann-Shapley value taking advantage of the model's fully differentiable structure.An attribution method that computes the Aumann-Shapley value taking advantage of the model's fully differentiable structure.The Jira source for the ImportRagFilesRequest.The Jira source for the ImportRagFilesRequest.JiraQueries contains the Jira queries and corresponding authentication.JiraQueries contains the Jira queries and corresponding authentication.Describes the state of a job.Contains information about the Large Model.Contains information about the Large Model.A subgraph of the overall lineage graph.A subgraph of the overall lineage graph.Request message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].Request message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].Response message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].Response message for [DatasetService.ListAnnotations][google.cloud.aiplatform.v1beta1.DatasetService.ListAnnotations].Request message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].Request message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].Response message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].Response message for [MetadataService.ListArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.ListArtifacts].Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs].Request message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs].Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]Response message for [JobService.ListBatchPredictionJobs][google.cloud.aiplatform.v1beta1.JobService.ListBatchPredictionJobs]Request to list CachedContents.Request to list CachedContents.Response with a list of CachedContents.Response with a list of CachedContents.Request message for [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]Request message for [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts]Response message for [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts].Response message for [MetadataService.ListContexts][google.cloud.aiplatform.v1beta1.MetadataService.ListContexts].Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs].Request message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs].Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]Response message for [JobService.ListCustomJobs][google.cloud.aiplatform.v1beta1.JobService.ListCustomJobs]Request message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].Request message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].Response message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].Response message for [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].Request message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].Request message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].Response message for [JobService.ListDataLabelingJobs][google.cloud.aiplatform.v1beta1.JobService.ListDataLabelingJobs].Request message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].Request message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].Response message for [DatasetService.ListDatasets][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasets].Request message for [DatasetService.ListDatasetVersions][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasetVersions].Request message for [DatasetService.ListDatasetVersions][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasetVersions].Response message for [DatasetService.ListDatasetVersions][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasetVersions].Response message for [DatasetService.ListDatasetVersions][google.cloud.aiplatform.v1beta1.DatasetService.ListDatasetVersions].Request message for ListDeploymentResourcePools method.Request message for ListDeploymentResourcePools method.Response message for ListDeploymentResourcePools method.Response message for ListDeploymentResourcePools method.Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].Request message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].Response message for [EndpointService.ListEndpoints][google.cloud.aiplatform.v1beta1.EndpointService.ListEndpoints].Request message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].Request message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].Response message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].Response message for [FeaturestoreService.ListEntityTypes][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListEntityTypes].Request message for [SessionService.ListEvents][google.cloud.aiplatform.v1beta1.SessionService.ListEvents].Request message for [SessionService.ListEvents][google.cloud.aiplatform.v1beta1.SessionService.ListEvents].Response message for [SessionService.ListEvents][google.cloud.aiplatform.v1beta1.SessionService.ListEvents].Response message for [SessionService.ListEvents][google.cloud.aiplatform.v1beta1.SessionService.ListEvents].Request message for [ExampleStoreService.ListExampleStores][google.cloud.aiplatform.v1beta1.ExampleStoreService.ListExampleStores].Request message for [ExampleStoreService.ListExampleStores][google.cloud.aiplatform.v1beta1.ExampleStoreService.ListExampleStores].Response message for [ExampleStoreService.ListExampleStores][google.cloud.aiplatform.v1beta1.ExampleStoreService.ListExampleStores].Response message for [ExampleStoreService.ListExampleStores][google.cloud.aiplatform.v1beta1.ExampleStoreService.ListExampleStores].Request message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].Request message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].Response message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].Response message for [MetadataService.ListExecutions][google.cloud.aiplatform.v1beta1.MetadataService.ListExecutions].Request message for [ExtensionRegistryService.ListExtensions][google.cloud.aiplatform.v1beta1.ExtensionRegistryService.ListExtensions].Request message for [ExtensionRegistryService.ListExtensions][google.cloud.aiplatform.v1beta1.ExtensionRegistryService.ListExtensions].Response message for [ExtensionRegistryService.ListExtensions][google.cloud.aiplatform.v1beta1.ExtensionRegistryService.ListExtensions]Response message for [ExtensionRegistryService.ListExtensions][google.cloud.aiplatform.v1beta1.ExtensionRegistryService.ListExtensions]Request message for [FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1beta1.FeatureRegistryService.ListFeatureGroups].Request message for [FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1beta1.FeatureRegistryService.ListFeatureGroups].Response message for [FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1beta1.FeatureRegistryService.ListFeatureGroups].Response message for [FeatureRegistryService.ListFeatureGroups][google.cloud.aiplatform.v1beta1.FeatureRegistryService.ListFeatureGroups].Request message for [FeatureRegistryService.ListFeatureMonitorJobs][google.cloud.aiplatform.v1beta1.FeatureRegistryService.ListFeatureMonitorJobs].Request message for [FeatureRegistryService.ListFeatureMonitorJobs][google.cloud.aiplatform.v1beta1.FeatureRegistryService.ListFeatureMonitorJobs].Response message for [FeatureRegistryService.ListFeatureMonitorJobs][google.cloud.aiplatform.v1beta1.FeatureRegistryService.ListFeatureMonitorJobs].Response message for [FeatureRegistryService.ListFeatureMonitorJobs][google.cloud.aiplatform.v1beta1.FeatureRegistryService.ListFeatureMonitorJobs].Request message for [FeatureRegistryService.ListFeatureMonitors][google.cloud.aiplatform.v1beta1.FeatureRegistryService.ListFeatureMonitors].Request message for [FeatureRegistryService.ListFeatureMonitors][google.cloud.aiplatform.v1beta1.FeatureRegistryService.ListFeatureMonitors].Response message for [FeatureRegistryService.ListFeatureMonitors][google.cloud.aiplatform.v1beta1.FeatureRegistryService.ListFeatureMonitors].Response message for [FeatureRegistryService.ListFeatureMonitors][google.cloud.aiplatform.v1beta1.FeatureRegistryService.ListFeatureMonitors].Request message for [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores].Request message for [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores].Response message for [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores].Response message for [FeatureOnlineStoreAdminService.ListFeatureOnlineStores][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureOnlineStores].Request message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].Request message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].Response message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].Response message for [FeaturestoreService.ListFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeatures].Request message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].Request message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].Response message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].Response message for [FeaturestoreService.ListFeaturestores][google.cloud.aiplatform.v1beta1.FeaturestoreService.ListFeaturestores].Request message for [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureViews].Request message for [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureViews].Response message for [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureViews].Response message for [FeatureOnlineStoreAdminService.ListFeatureViews][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureViews].Request message for [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs].Request message for [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs].Response message for [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs].Response message for [FeatureOnlineStoreAdminService.ListFeatureViewSyncs][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.ListFeatureViewSyncs].Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs].Request message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs].Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]Response message for [JobService.ListHyperparameterTuningJobs][google.cloud.aiplatform.v1beta1.JobService.ListHyperparameterTuningJobs]Request message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].Request message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].Response message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].Response message for [IndexEndpointService.ListIndexEndpoints][google.cloud.aiplatform.v1beta1.IndexEndpointService.ListIndexEndpoints].Request message for [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].Request message for [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].Response message for [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].Response message for [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].Request message for [MemoryBankService.ListMemories][google.cloud.aiplatform.v1beta1.MemoryBankService.ListMemories].Request message for [MemoryBankService.ListMemories][google.cloud.aiplatform.v1beta1.MemoryBankService.ListMemories].Response message for [MemoryBankService.ListMemories][google.cloud.aiplatform.v1beta1.MemoryBankService.ListMemories].Response message for [MemoryBankService.ListMemories][google.cloud.aiplatform.v1beta1.MemoryBankService.ListMemories].Request message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].Request message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].Response message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].Response message for [MetadataService.ListMetadataSchemas][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataSchemas].Request message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].Request message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].Response message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].Response message for [MetadataService.ListMetadataStores][google.cloud.aiplatform.v1beta1.MetadataService.ListMetadataStores].Request message for [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1beta1.JobService.ListModelDeploymentMonitoringJobs].Request message for [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1beta1.JobService.ListModelDeploymentMonitoringJobs].Response message for [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1beta1.JobService.ListModelDeploymentMonitoringJobs].Response message for [JobService.ListModelDeploymentMonitoringJobs][google.cloud.aiplatform.v1beta1.JobService.ListModelDeploymentMonitoringJobs].Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].Request message for [ModelMonitoringService.ListModelMonitoringJobs][google.cloud.aiplatform.v1beta1.ModelMonitoringService.ListModelMonitoringJobs].Request message for [ModelMonitoringService.ListModelMonitoringJobs][google.cloud.aiplatform.v1beta1.ModelMonitoringService.ListModelMonitoringJobs].Response message for [ModelMonitoringService.ListModelMonitoringJobs][google.cloud.aiplatform.v1beta1.ModelMonitoringService.ListModelMonitoringJobs].Response message for [ModelMonitoringService.ListModelMonitoringJobs][google.cloud.aiplatform.v1beta1.ModelMonitoringService.ListModelMonitoringJobs].Request message for [ModelMonitoringService.ListModelMonitors][google.cloud.aiplatform.v1beta1.ModelMonitoringService.ListModelMonitors].Request message for [ModelMonitoringService.ListModelMonitors][google.cloud.aiplatform.v1beta1.ModelMonitoringService.ListModelMonitors].Response message for [ModelMonitoringService.ListModelMonitors][google.cloud.aiplatform.v1beta1.ModelMonitoringService.ListModelMonitors]Response message for [ModelMonitoringService.ListModelMonitors][google.cloud.aiplatform.v1beta1.ModelMonitoringService.ListModelMonitors]Request message for [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels].Request message for [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels].Response message for [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]Response message for [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels]Request message for [ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersionCheckpoints].Request message for [ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersionCheckpoints].Response message for [ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersionCheckpoints]Response message for [ModelService.ListModelVersionCheckpoints][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersionCheckpoints]Request message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions].Request message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions].Response message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions]Response message for [ModelService.ListModelVersions][google.cloud.aiplatform.v1beta1.ModelService.ListModelVersions]Request message for [JobService.ListNasJobs][google.cloud.aiplatform.v1beta1.JobService.ListNasJobs].Request message for [JobService.ListNasJobs][google.cloud.aiplatform.v1beta1.JobService.ListNasJobs].Response message for [JobService.ListNasJobs][google.cloud.aiplatform.v1beta1.JobService.ListNasJobs]Response message for [JobService.ListNasJobs][google.cloud.aiplatform.v1beta1.JobService.ListNasJobs]Request message for [JobService.ListNasTrialDetails][google.cloud.aiplatform.v1beta1.JobService.ListNasTrialDetails].Request message for [JobService.ListNasTrialDetails][google.cloud.aiplatform.v1beta1.JobService.ListNasTrialDetails].Response message for [JobService.ListNasTrialDetails][google.cloud.aiplatform.v1beta1.JobService.ListNasTrialDetails]Response message for [JobService.ListNasTrialDetails][google.cloud.aiplatform.v1beta1.JobService.ListNasTrialDetails]Request message for [NotebookService.ListNotebookExecutionJobs]Request message for [NotebookService.ListNotebookExecutionJobs]Response message for [NotebookService.CreateNotebookExecutionJob]Response message for [NotebookService.CreateNotebookExecutionJob]Request message for [NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1beta1.NotebookService.ListNotebookRuntimes].Request message for [NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1beta1.NotebookService.ListNotebookRuntimes].Response message for [NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1beta1.NotebookService.ListNotebookRuntimes].Response message for [NotebookService.ListNotebookRuntimes][google.cloud.aiplatform.v1beta1.NotebookService.ListNotebookRuntimes].Request message for [NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1beta1.NotebookService.ListNotebookRuntimeTemplates].Request message for [NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1beta1.NotebookService.ListNotebookRuntimeTemplates].Response message for [NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1beta1.NotebookService.ListNotebookRuntimeTemplates].Response message for [NotebookService.ListNotebookRuntimeTemplates][google.cloud.aiplatform.v1beta1.NotebookService.ListNotebookRuntimeTemplates].Request message for ListOnlineEvaluators.Request message for ListOnlineEvaluators.Response message for ListOnlineEvaluators.Response message for ListOnlineEvaluators.Request message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].Request message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].Response message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].Response message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].Request message for [PersistentResourceService.ListPersistentResource][].Request message for [PersistentResourceService.ListPersistentResource][].Response message for [PersistentResourceService.ListPersistentResources][google.cloud.aiplatform.v1beta1.PersistentResourceService.ListPersistentResources]Response message for [PersistentResourceService.ListPersistentResources][google.cloud.aiplatform.v1beta1.PersistentResourceService.ListPersistentResources]Request message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs].Request message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs].Response message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]Response message for [PipelineService.ListPipelineJobs][google.cloud.aiplatform.v1beta1.PipelineService.ListPipelineJobs]Request message for [ModelGardenService.ListPublisherModels][google.cloud.aiplatform.v1beta1.ModelGardenService.ListPublisherModels].Request message for [ModelGardenService.ListPublisherModels][google.cloud.aiplatform.v1beta1.ModelGardenService.ListPublisherModels].Response message for [ModelGardenService.ListPublisherModels][google.cloud.aiplatform.v1beta1.ModelGardenService.ListPublisherModels].Response message for [ModelGardenService.ListPublisherModels][google.cloud.aiplatform.v1beta1.ModelGardenService.ListPublisherModels].Request message for [VertexRagDataService.ListRagCorpora][google.cloud.aiplatform.v1beta1.VertexRagDataService.ListRagCorpora].Request message for [VertexRagDataService.ListRagCorpora][google.cloud.aiplatform.v1beta1.VertexRagDataService.ListRagCorpora].Response message for [VertexRagDataService.ListRagCorpora][google.cloud.aiplatform.v1beta1.VertexRagDataService.ListRagCorpora].Response message for [VertexRagDataService.ListRagCorpora][google.cloud.aiplatform.v1beta1.VertexRagDataService.ListRagCorpora].Request message for [VertexRagDataService.ListRagDataSchemas][google.cloud.aiplatform.v1beta1.VertexRagDataService.ListRagDataSchemas].Request message for [VertexRagDataService.ListRagDataSchemas][google.cloud.aiplatform.v1beta1.VertexRagDataService.ListRagDataSchemas].Response message for [VertexRagDataService.ListRagDataSchemas][google.cloud.aiplatform.v1beta1.VertexRagDataService.ListRagDataSchemas].Response message for [VertexRagDataService.ListRagDataSchemas][google.cloud.aiplatform.v1beta1.VertexRagDataService.ListRagDataSchemas].Request message for [VertexRagDataService.ListRagFiles][google.cloud.aiplatform.v1beta1.VertexRagDataService.ListRagFiles].Request message for [VertexRagDataService.ListRagFiles][google.cloud.aiplatform.v1beta1.VertexRagDataService.ListRagFiles].Response message for [VertexRagDataService.ListRagFiles][google.cloud.aiplatform.v1beta1.VertexRagDataService.ListRagFiles].Response message for [VertexRagDataService.ListRagFiles][google.cloud.aiplatform.v1beta1.VertexRagDataService.ListRagFiles].Request message for [VertexRagDataService.ListRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.ListRagMetadata].Request message for [VertexRagDataService.ListRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.ListRagMetadata].Response message for [VertexRagDataService.ListRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.ListRagMetadata].Response message for [VertexRagDataService.ListRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.ListRagMetadata].Request message for [ReasoningEngineService.ListReasoningEngines][google.cloud.aiplatform.v1beta1.ReasoningEngineService.ListReasoningEngines].Request message for [ReasoningEngineService.ListReasoningEngines][google.cloud.aiplatform.v1beta1.ReasoningEngineService.ListReasoningEngines].Response message for [ReasoningEngineService.ListReasoningEngines][google.cloud.aiplatform.v1beta1.ReasoningEngineService.ListReasoningEngines]Response message for [ReasoningEngineService.ListReasoningEngines][google.cloud.aiplatform.v1beta1.ReasoningEngineService.ListReasoningEngines]Request message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].Request message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].Response message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].Response message for [DatasetService.ListSavedQueries][google.cloud.aiplatform.v1beta1.DatasetService.ListSavedQueries].Request message for [ScheduleService.ListSchedules][google.cloud.aiplatform.v1beta1.ScheduleService.ListSchedules].Request message for [ScheduleService.ListSchedules][google.cloud.aiplatform.v1beta1.ScheduleService.ListSchedules].Response message for [ScheduleService.ListSchedules][google.cloud.aiplatform.v1beta1.ScheduleService.ListSchedules]Response message for [ScheduleService.ListSchedules][google.cloud.aiplatform.v1beta1.ScheduleService.ListSchedules]Request message for [SessionService.ListSessions][google.cloud.aiplatform.v1beta1.SessionService.ListSessions].Request message for [SessionService.ListSessions][google.cloud.aiplatform.v1beta1.SessionService.ListSessions].Response message for [SessionService.ListSessions][google.cloud.aiplatform.v1beta1.SessionService.ListSessions].Response message for [SessionService.ListSessions][google.cloud.aiplatform.v1beta1.SessionService.ListSessions].Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].Request message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].Response message for [SpecialistPoolService.ListSpecialistPools][google.cloud.aiplatform.v1beta1.SpecialistPoolService.ListSpecialistPools].Request message for [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].Request message for [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].Response message for [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].Response message for [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].Request message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].Request message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].Response message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].Response message for [TensorboardService.ListTensorboardExperiments][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardExperiments].Request message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].Request message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].Response message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].Response message for [TensorboardService.ListTensorboardRuns][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardRuns].Request message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].Request message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].Response message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].Response message for [TensorboardService.ListTensorboards][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboards].Request message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].Request message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].Response message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].Response message for [TensorboardService.ListTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.ListTensorboardTimeSeries].Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines].Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines].Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]Request message for [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].Request message for [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].Response message for [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].Response message for [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].Request message for [GenAiTuningService.ListTuningJobs][google.cloud.aiplatform.v1beta1.GenAiTuningService.ListTuningJobs].Request message for [GenAiTuningService.ListTuningJobs][google.cloud.aiplatform.v1beta1.GenAiTuningService.ListTuningJobs].Response message for [GenAiTuningService.ListTuningJobs][google.cloud.aiplatform.v1beta1.GenAiTuningService.ListTuningJobs]Response message for [GenAiTuningService.ListTuningJobs][google.cloud.aiplatform.v1beta1.GenAiTuningService.ListTuningJobs]Specification for an LLM based metric.Specification for an LLM based metric.Builder for projects/{project}/locations/{location}.Logprobs ResultLogprobs ResultCandidate for the logprobs token and score.Candidate for the logprobs token and score.Candidates with top log probabilities at each decoding step.Candidates with top log probabilities at each decoding step.Request message for [VizierService.LookupStudy][google.cloud.aiplatform.v1beta1.VizierService.LookupStudy].Request message for [VizierService.LookupStudy][google.cloud.aiplatform.v1beta1.VizierService.LookupStudy].Represents a mount configuration for Lustre file system.Represents a mount configuration for Lustre file system.Specification of a single machine.Specification of a single machine.Manual batch tuning parameters.Manual batch tuning parameters.A message representing a Measurement of a Trial.A message representing a Measurement of a Trial.A message representing a metric in the measurement.A message representing a metric in the measurement.A memory.A memory.Builder for projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}/memories/{memory}.Request message for [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1beta1.ModelService.MergeVersionAliases].Request message for [ModelService.MergeVersionAliases][google.cloud.aiplatform.v1beta1.ModelService.MergeVersionAliases].List representation in metadata.List representation in metadata.Instance of a general MetadataSchema.Instance of a general MetadataSchema.Describes the type of the MetadataSchema.Builder for projects/{project}/locations/{location}/metadataStores/{metadata_store}/metadataSchemas/{metadata_schema}.Instance of a metadata store.Instance of a metadata store.Represents Dataplex integration settings.Represents Dataplex integration settings.Represents state information for a MetadataStore.Represents state information for a MetadataStore.Builder for projects/{project}/locations/{location}/metadataStores/{metadata_store}.Value of Metadata, including all types available in data schema.Value of Metadata, including all types available in data schema.The metric used for running evaluations.The per-metric statistics on evaluation results supported by `EvaluationService.EvaluateDataset`.The metric used for running evaluations.Metadata about the metric, used for visualization and organization.Metadata about the metric, used for visualization and organization.The range of possible scores for this metric, used for plotting.The range of possible scores for this metric, used for plotting.Result for a single metric on a single instance.Result for a single metric on a single instance.The metric source used for evaluation.The metric source used for evaluation.Input for MetricX metric.Input for MetricX metric.Spec for MetricX instance - The fields used for evaluation are dependent on the MetricX version.Spec for MetricX instance - The fields used for evaluation are dependent on the MetricX version.Spec for MetricX result - calculates the MetricX score for the given instance using the version specified in the spec.Spec for MetricX result - calculates the MetricX score for the given instance using the version specified in the spec.Spec for MetricX metric.Spec for MetricX metric.MetricX Version options.Represents one resource that exists in automl.googleapis.com, datalabeling.googleapis.com or ml.googleapis.com.Represents one Dataset in automl.googleapis.com.Represents one Dataset in automl.googleapis.com.Represents one Model in automl.googleapis.com.Represents one Model in automl.googleapis.com.Represents one resource that exists in automl.googleapis.com, datalabeling.googleapis.com or ml.googleapis.com.Represents one Dataset in datalabeling.googleapis.com.Represents one Dataset in datalabeling.googleapis.com.Represents one AnnotatedDataset in datalabeling.googleapis.com.Represents one AnnotatedDataset in datalabeling.googleapis.com.Represents one model Version in ml.googleapis.com.Represents one model Version in ml.googleapis.com.Config of migrating one resource from automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.Config of migrating one resource from automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.Config for migrating Dataset in automl.googleapis.com to Vertex AI's Dataset.Config for migrating Dataset in automl.googleapis.com to Vertex AI's Dataset.Config for migrating Model in automl.googleapis.com to Vertex AI's Model.Config for migrating Model in automl.googleapis.com to Vertex AI's Model.Config for migrating Dataset in datalabeling.googleapis.com to Vertex AI's Dataset.Config for migrating Dataset in datalabeling.googleapis.com to Vertex AI's Dataset.Config for migrating AnnotatedDataset in datalabeling.googleapis.com to Vertex AI's SavedQuery.Config for migrating AnnotatedDataset in datalabeling.googleapis.com to Vertex AI's SavedQuery.Config for migrating version in ml.googleapis.com to Vertex AI's Model.Config for migrating version in ml.googleapis.com to Vertex AI's Model.Describes a successfully migrated resource.Describes a successfully migrated resource.Content Part modalityRepresents token counting info for a single modality.Represents token counting info for a single modality.A trained machine learning Model.User input field to specify the base model source.User input field to specify the base model source.A trained machine learning Model.Identifies a type of Model's prediction resources.Represents export format supported by the Model.Represents export format supported by the Model.The Model content that can be exported.Contains information about the original Model if this Model is a copy.Contains information about the original Model if this Model is a copy.Configuration for Model Armor integrations of prompt and responses.Configuration for Model Armor integrations of prompt and responses.Specification of a container for serving predictions.Specification of a container for serving predictions.ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name as well as some information of the logs stored in this table.ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name as well as some information of the logs stored in this table.Indicates where does the log come from.Indicates what type of traffic does the log belong to.Represents a job that runs periodically to monitor the deployed models in an endpoint.Represents a job that runs periodically to monitor the deployed models in an endpoint.All metadata of most recent monitoring pipelines.All metadata of most recent monitoring pipelines.The state to Specify the monitoring pipeline.Builder for projects/{project}/locations/{location}/modelDeploymentMonitoringJobs/{model_deployment_monitoring_job}.ModelDeploymentMonitoringObjectiveConfig contains the pair of deployed_model_id to ModelMonitoringObjectiveConfig.ModelDeploymentMonitoringObjectiveConfig contains the pair of deployed_model_id to ModelMonitoringObjectiveConfig.The Model Monitoring Objective types.The config for scheduling monitoring job.The config for scheduling monitoring job.A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.Configuration for bias detection.Configuration for bias detection.A collection of metrics calculated by comparing Model's predictions on all of the test data against annotations from the test data.Protobuf typegoogle.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpecProtobuf typegoogle.cloud.aiplatform.v1beta1.ModelEvaluation.ModelEvaluationExplanationSpecBuilder for projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}.A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.A collection of metrics calculated by comparing Model's predictions on a slice of the test data against ground truth annotations.Definition of a slice.Definition of a slice.Specification for how the data should be sliced.Specification for how the data should be sliced.A range of values for slice(s).A range of values for slice(s).Specification message containing the config for this SliceSpec.Specification message containing the config for this SliceSpec.Single value that supports strings and floats.Single value that supports strings and floats.Builder for projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}.Aggregated explanation metrics for a Model over a set of instances.Aggregated explanation metrics for a Model over a set of instances.Contains information about the source of the models generated from Model Garden.Contains information about the source of the models generated from Model Garden.Vertex AI Model Monitoring Service serves as a central hub for the analysis and visualization of data quality and performance related to models.Vertex AI Model Monitoring Service serves as a central hub for the analysis and visualization of data quality and performance related to models.The monitoring target refers to the entity that is subject to analysis.The monitoring target refers to the entity that is subject to analysis.Model in Vertex AI Model Registry.Model in Vertex AI Model Registry.Represents a single monitoring alert.Represents a single monitoring alert.Monitoring alert triggered condition.Monitoring alert triggered condition.The alert config for model monitoring.The alert config for model monitoring.The config for email alert.The config for email alert.Represents a single model monitoring anomaly.Represents a single model monitoring anomaly.Tabular anomaly details.Tabular anomaly details.The model monitoring configuration used for Batch Prediction Job.The model monitoring configuration used for Batch Prediction Job.Model monitoring data input spec.Data from Vertex AI Batch prediction job output.Data from Vertex AI Batch prediction job output.Model monitoring data input spec.Input dataset spec.Input dataset spec.Dataset spec for data sotred in BigQuery.Dataset spec for data sotred in BigQuery.Dataset spec for data stored in Google Cloud Storage.Dataset spec for data stored in Google Cloud Storage.Supported data format.Time offset setting.Time offset setting.Data from Vertex AI Endpoint request response logging.Data from Vertex AI Endpoint request response logging.Represents a model monitoring job that analyze dataset using different monitoring algorithm.Represents a model monitoring job that analyze dataset using different monitoring algorithm.Represent the execution details of the job.Represent the execution details of the job.Processed dataset information.Processed dataset information.Builder for projects/{project}/locations/{location}/modelMonitors/{model_monitor}/modelMonitoringJobs/{model_monitoring_job}.Notification spec(email, notification channel) for model monitoring statistics/alerts.Notification spec(email, notification channel) for model monitoring statistics/alerts.The config for email alerts.The config for email alerts.Google Cloud Notification Channel config.Google Cloud Notification Channel config.The objective configuration for model monitoring, including the information needed to detect anomalies for one particular model.The objective configuration for model monitoring, including the information needed to detect anomalies for one particular model.The config for integrating with Vertex Explainable AI.The config for integrating with Vertex Explainable AI.Output from [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] for Model Monitoring baseline dataset, which can be used to generate baseline attribution scores.Output from [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob] for Model Monitoring baseline dataset, which can be used to generate baseline attribution scores.The storage format of the predictions generated BatchPrediction job.The config for Prediction data drift detection.The config for Prediction data drift detection.Training Dataset information.Training Dataset information.The config for Training & Prediction data skew detection.The config for Training & Prediction data skew detection.Monitoring objectives spec.Monitoring objectives spec.Data drift monitoring spec.Data drift monitoring spec.Feature attribution monitoring spec.Feature attribution monitoring spec.Tabular monitoring objective.Tabular monitoring objective.Specification for the export destination of monitoring results, including metrics, logs, etc.Specification for the export destination of monitoring results, including metrics, logs, etc.The Model Monitoring Schema definition.The Model Monitoring Schema definition.Schema field definition.Schema field definition.Monitoring monitoring job spec.Monitoring monitoring job spec.Represents the collection of statistics for a metric.Represents the collection of statistics for a metric.Statistics and anomalies generated by Model Monitoring.Statistics and anomalies generated by Model Monitoring.Historical Stats (and Anomalies) for a specific Feature.Historical Stats (and Anomalies) for a specific Feature.Represents a single statistics data point.Represents a single statistics data point.Typed value of the statistics.Typed value of the statistics.Summary statistics for a population of values.Summary statistics for a population of values.A collection of data points that describes the time-varying values of a tabular metric.A collection of data points that describes the time-varying values of a tabular metric.Builder for projects/{project}/locations/{location}/modelMonitors/{model_monitor}.Builder for projects/{project}/locations/{location}/models/{model}.Detail description of the source information of the model.Detail description of the source information of the model.Source of the model.A proto representation of a Spanner-stored ModelVersionCheckpoint.A proto representation of a Spanner-stored ModelVersionCheckpoint.Configuration for a multi-speaker text-to-speech request.Configuration for a multi-speaker text-to-speech request.Runtime operation information for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].Runtime operation information for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].Request message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].Request message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].Response message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].Response message for [IndexEndpointService.MutateDeployedIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.MutateDeployedIndex].Runtime operation information for [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1beta1.EndpointService.MutateDeployedModel].Runtime operation information for [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1beta1.EndpointService.MutateDeployedModel].Request message for [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1beta1.EndpointService.MutateDeployedModel].Request message for [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1beta1.EndpointService.MutateDeployedModel].Response message for [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1beta1.EndpointService.MutateDeployedModel].Response message for [EndpointService.MutateDeployedModel][google.cloud.aiplatform.v1beta1.EndpointService.MutateDeployedModel].Represents a Neural Architecture Search (NAS) job.Represents a Neural Architecture Search (NAS) job.Builder for projects/{project}/locations/{location}/nasJobs/{nas_job}.Represents a uCAIP NasJob output.Represents a uCAIP NasJob output.The output of a multi-trial Neural Architecture Search (NAS) jobs.The output of a multi-trial Neural Architecture Search (NAS) jobs.Represents the spec of a NasJob.Represents the spec of a NasJob.The spec of multi-trial Neural Architecture Search (NAS).The spec of multi-trial Neural Architecture Search (NAS).Represents a metric to optimize.Represents a metric to optimize.The available types of optimization goals.The available types of multi-trial algorithms.Represent spec for search trials.Represent spec for search trials.Represent spec for train trials.Represent spec for train trials.Represents a uCAIP NasJob trial.Represents a uCAIP NasJob trial.Describes a NasTrial state.Represents a NasTrial details along with its parameters.Represents a NasTrial details along with its parameters.Builder for projects/{project}/locations/{location}/nasJobs/{nas_job}/nasTrialDetails/{nas_trial_detail}.A query to find a number of similar entities.A query to find a number of similar entities.The embedding vector.The embedding vector.Numeric filter is used to search a subset of the entities by using boolean rules on numeric columns.Numeric filter is used to search a subset of the entities by using boolean rules on numeric columns.Datapoints for which Operator is true relative to the query’s Value field will be allowlisted.Parameters that can be overrided in each query to tune query latency and recall.Parameters that can be overrided in each query to tune query latency and recall.String filter is used to search a subset of the entities by using boolean rules on string columns.String filter is used to search a subset of the entities by using boolean rules on string columns.Nearest neighbors for one query.Nearest neighbors for one query.A neighbor of the query vector.A neighbor of the query vector.Runtime operation metadata with regard to Matching Engine Index.Runtime operation metadata with regard to Matching Engine Index.Protobuf typegoogle.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStatsProtobuf typegoogle.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.ContentValidationStatsProtobuf typegoogle.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordErrorProtobuf typegoogle.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordErrorProtobuf enumgoogle.cloud.aiplatform.v1beta1.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorTypeNeighbors for example-based explanations.Neighbors for example-based explanations.Network spec.Network spec.Represents a mount configuration for Network File System (NFS) to mount.Represents a mount configuration for Network File System (NFS) to mount.The euc configuration of NotebookRuntimeTemplate.The euc configuration of NotebookRuntimeTemplate.NotebookExecutionJob represents an instance of a notebook execution.NotebookExecutionJob represents an instance of a notebook execution.Compute configuration to use for an execution job.Compute configuration to use for an execution job.The Dataform Repository containing the input notebook.The Dataform Repository containing the input notebook.The content of the input notebook in ipynb format.The content of the input notebook in ipynb format.The Cloud Storage uri for the input notebook.The Cloud Storage uri for the input notebook.Configuration for a Workbench Instances-based environment.Configuration for a Workbench Instances-based environment.Builder for projects/{project}/locations/{location}/notebookExecutionJobs/{notebook_execution_job}.Views for Get/List NotebookExecutionJobThe idle shutdown configuration of NotebookRuntimeTemplate, which contains the idle_timeout as required field.The idle shutdown configuration of NotebookRuntimeTemplate, which contains the idle_timeout as required field.A runtime is a virtual machine allocated to a particular user for a particular Notebook file on temporary basis with lifetime.A runtime is a virtual machine allocated to a particular user for a particular Notebook file on temporary basis with lifetime.The substate of the NotebookRuntime to display health information.The substate of the NotebookRuntime to display state of runtime.Builder for projects/{project}/locations/{location}/notebookRuntimes/{notebook_runtime}.A template that specifies runtime configurations such as machine type, runtime version, network configurations, etc.A template that specifies runtime configurations such as machine type, runtime version, network configurations, etc.Builder for projects/{project}/locations/{location}/notebookRuntimeTemplates/{notebook_runtime_template}.Points to a NotebookRuntimeTemplateRef.Points to a NotebookRuntimeTemplateRef.Represents a notebook runtime type.Notebook Software Config.Notebook Software Config.An OnlineEvaluator contains the configuration for an Online Evaluation.An OnlineEvaluator contains the configuration for an Online Evaluation.Data source for the OnlineEvaluator, based on GCP Observability stack (Cloud Trace & Cloud Logging).Data source for the OnlineEvaluator, based on GCP Observability stack (Cloud Trace & Cloud Logging).Defines a predicate for filtering based on a numeric value.Defines a predicate for filtering based on a numeric value.Comparison operators for numeric predicates.Configuration for data source following OpenTelemetry.Configuration for data source following OpenTelemetry.If chosen, the online evaluator will evaluate single traces matching specified `filter`.If chosen, the online evaluator will evaluate single traces matching specified `filter`.Defines a single filter predicate.Defines a single filter predicate.Configuration for sampling behavior of the OnlineEvaluator.Configuration for sampling behavior of the OnlineEvaluator.Configuration for random sampling.Configuration for random sampling.The state of the OnlineEvaluator.Contains additional information about the state of the OnlineEvaluator.Contains additional information about the state of the OnlineEvaluator.Builder for projects/{project}/locations/{location}/onlineEvaluators/{online_evaluator}.Config for evaluation output.Config for evaluation output.Describes the info for output of EvaluationService.Describes the info for output of EvaluationService.Pairwise prediction autorater preference.Input for pairwise metric.Input for pairwise metric.Pairwise metric instance.Pairwise metric instance.Spec for pairwise metric result.Spec for pairwise metric result.Spec for pairwise metric.Spec for pairwise metric.Input for pairwise question answering quality metric.Input for pairwise question answering quality metric.Spec for pairwise question answering quality instance.Spec for pairwise question answering quality instance.Spec for pairwise question answering quality result.Spec for pairwise question answering quality result.Spec for pairwise question answering quality score metric.Spec for pairwise question answering quality score metric.Input for pairwise summarization quality metric.Input for pairwise summarization quality metric.Spec for pairwise summarization quality instance.Spec for pairwise summarization quality instance.Spec for pairwise summarization quality result.Spec for pairwise summarization quality result.Spec for pairwise summarization quality score metric.Spec for pairwise summarization quality score metric.A datatype containing media that is part of a multi-part `Content` message.A datatype containing media that is part of a multi-part `Content` message.Partial argument value of the function call.Partial argument value of the function call.Tuning spec for Partner models.Tuning spec for Partner models.Request message for [JobService.PauseModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.PauseModelDeploymentMonitoringJob].Request message for [JobService.PauseModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.PauseModelDeploymentMonitoringJob].Request message for [ScheduleService.PauseSchedule][google.cloud.aiplatform.v1beta1.ScheduleService.PauseSchedule].Request message for [ScheduleService.PauseSchedule][google.cloud.aiplatform.v1beta1.ScheduleService.PauseSchedule].Represents the spec of [persistent disk][https://cloud.google.com/compute/docs/disks/persistent-disks] options.Represents the spec of [persistent disk][https://cloud.google.com/compute/docs/disks/persistent-disks] options.Represents long-lasting resources that are dedicated to users to runs custom workloads.Represents long-lasting resources that are dedicated to users to runs custom workloads.Describes the PersistentResource state.Builder for projects/{project}/locations/{location}/persistentResources/{persistent_resource}.Represents the failure policy of a pipeline.An instance of a machine learning PipelineJob.An instance of a machine learning PipelineJob.The runtime config of a PipelineJob.The runtime config of a PipelineJob.The default runtime for the PipelineJob.The default runtime for the PipelineJob.The type of an input artifact.The type of an input artifact.Persistent resource based runtime detail.Persistent resource based runtime detail.An enum that specifies the behavior to take if the timeout is reached.The runtime detail of PipelineJob.The runtime detail of PipelineJob.Builder for projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}.Describes the state of a pipeline.The runtime detail of a task execution.A list of artifact metadata.A list of artifact metadata.The runtime detail of a task execution.A single record of the task status.A single record of the task status.Specifies state of TaskExecutionThe runtime detail of a pipeline executor.The runtime detail of a pipeline executor.The detail of a container execution.The detail of a container execution.The detailed info for a custom job executor.The detailed info for a custom job executor.User provided rerun config to submit a rerun pipelinejob.A list of artifact metadata.A list of artifact metadata.User provided rerun config to submit a rerun pipelinejob.Runtime inputs data of the task.Runtime inputs data of the task.Pipeline template metadata if [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.Pipeline template metadata if [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] is from supported template registry.Input for pointwise metric.Input for pointwise metric.Pointwise metric instance.Pointwise metric instance.Spec for pointwise metric result.Spec for pointwise metric result.Spec for pointwise metric.Spec for pointwise metric.Represents a network port in a container.Represents a network port in a container.Post-startup script config.Post-startup script config.Represents a notebook runtime post-startup script behavior.The configuration for the prebuilt speaker to use.The configuration for the prebuilt speaker to use.The spec for a pre-defined metric.The spec for a pre-defined metric.Assigns input data to training, validation, and test sets based on the value of a provided key.Assigns input data to training, validation, and test sets based on the value of a provided key.Metadata for PredictLongRunning long running operations.Metadata for PredictLongRunning long running operations.Response message for [PredictionService.PredictLongRunning]Response message for [PredictionService.PredictLongRunning]Request message for [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].Request message for [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].Configuration for logging request-response to a BigQuery table.Configuration for logging request-response to a BigQuery table.Response message for [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].Response message for [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict].Contains the schemata used in Model's predictions and explanations via [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict], [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain] and [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].Contains the schemata used in Model's predictions and explanations via [PredictionService.Predict][google.cloud.aiplatform.v1beta1.PredictionService.Predict], [PredictionService.Explain][google.cloud.aiplatform.v1beta1.PredictionService.Explain] and [BatchPredictionJob][google.cloud.aiplatform.v1beta1.BatchPredictionJob].Preset configuration for example-based explanationsPreset configuration for example-based explanationsPreset option controlling parameters for different modalitiesPreset option controlling parameters for query speed-precision trade-offA pre-tuned model for continuous tuning.A pre-tuned model for continuous tuning.PrivateEndpoints proto is used to provide paths for users to send requests privately.PrivateEndpoints proto is used to provide paths for users to send requests privately.Represents configuration for private service connect.Represents configuration for private service connect.Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic.Probe describes a health check to be performed against a container to determine whether it is alive or ready to receive traffic.ExecAction specifies a command to execute.ExecAction specifies a command to execute.GrpcAction checks the health of a container using a gRPC service.GrpcAction checks the health of a container using a gRPC service.HttpGetAction describes an action based on HTTP Get requests.HttpGetAction describes an action based on HTTP Get requests.HttpHeader describes a custom header to be used in HTTP probesHttpHeader describes a custom header to be used in HTTP probesTcpSocketAction probes the health of a container by opening a TCP socket connection.TcpSocketAction probes the health of a container by opening a TCP socket connection.Builder for projects/{project}.PscAutomatedEndpoints defines the output of the forwarding rule automatically created by each PscAutomationConfig.PscAutomatedEndpoints defines the output of the forwarding rule automatically created by each PscAutomationConfig.PSC config that is used to automatically create PSC endpoints in the user projects.PSC config that is used to automatically create PSC endpoints in the user projects.The state of the PSC service automation.Configuration for PSC-I.Configuration for PSC-I.A Model Garden Publisher Model.A Model Garden Publisher Model.Actions could take on this Publisher Model.Actions could take on this Publisher Model.Model metadata that is needed for UploadModel or DeployModel/CreateEndpoint requests.Model metadata that is needed for UploadModel or DeployModel/CreateEndpoint requests.Metadata information about the deployment for managing deployment config.Metadata information about the deployment for managing deployment config.Configurations for PublisherModel GKE deploymentConfigurations for PublisherModel GKE deploymentMultiple setups to deploy the PublisherModel.Multiple setups to deploy the PublisherModel.Open fine tuning pipelines.Open fine tuning pipelines.Open notebooks.Open notebooks.The regional resource name or the URI.The regional resource name or the URI.Rest API docs.Rest API docs.A named piece of documentation.A named piece of documentation.An enum representing the launch stage of a PublisherModel.An enum representing the open source category of a PublisherModel.The information about the parent of a model.The information about the parent of a model.Reference to a resource.Reference to a resource.An enum representing the state of the PublicModelVersion.This message contains configs of a publisher model.This message contains configs of a publisher model.Response message for [ModelGardenService.UpdatePublisherModelEula][].Response message for [ModelGardenService.UpdatePublisherModelEula][].Builder for publishers/{publisher}/models/{model}.View enumeration of PublisherModel.Details of operations that perform [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].Details of operations that perform [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].Request message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].Request message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].Response message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].Response message for [MetadataService.PurgeArtifacts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeArtifacts].Details of operations that perform [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].Details of operations that perform [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].Request message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].Request message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].Response message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].Response message for [MetadataService.PurgeContexts][google.cloud.aiplatform.v1beta1.MetadataService.PurgeContexts].Details of operations that perform [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].Details of operations that perform [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].Request message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].Request message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].Response message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].Response message for [MetadataService.PurgeExecutions][google.cloud.aiplatform.v1beta1.MetadataService.PurgeExecutions].The spec of a Python packaged code.The spec of a Python packaged code.Request message for [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryArtifactLineageSubgraph].Request message for [MetadataService.QueryArtifactLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryArtifactLineageSubgraph].Request message for [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryContextLineageSubgraph].Request message for [MetadataService.QueryContextLineageSubgraph][google.cloud.aiplatform.v1beta1.MetadataService.QueryContextLineageSubgraph].Request message for QueryDeployedModels method.Request message for QueryDeployedModels method.Response message for QueryDeployedModels method.Response message for QueryDeployedModels method.Request message for [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1beta1.MetadataService.QueryExecutionInputsAndOutputs].Request message for [MetadataService.QueryExecutionInputsAndOutputs][google.cloud.aiplatform.v1beta1.MetadataService.QueryExecutionInputsAndOutputs].Request message for [ExtensionExecutionService.QueryExtension][google.cloud.aiplatform.v1beta1.ExtensionExecutionService.QueryExtension].Request message for [ExtensionExecutionService.QueryExtension][google.cloud.aiplatform.v1beta1.ExtensionExecutionService.QueryExtension].Response message for [ExtensionExecutionService.QueryExtension][google.cloud.aiplatform.v1beta1.ExtensionExecutionService.QueryExtension].Response message for [ExtensionExecutionService.QueryExtension][google.cloud.aiplatform.v1beta1.ExtensionExecutionService.QueryExtension].Request message for [ReasoningEngineExecutionService.Query][].Request message for [ReasoningEngineExecutionService.Query][].Response message for [ReasoningEngineExecutionService.Query][]Response message for [ReasoningEngineExecutionService.Query][]Input for question answering correctness metric.Input for question answering correctness metric.Spec for question answering correctness instance.Spec for question answering correctness instance.Spec for question answering correctness result.Spec for question answering correctness result.Spec for question answering correctness metric.Spec for question answering correctness metric.Input for question answering helpfulness metric.Input for question answering helpfulness metric.Spec for question answering helpfulness instance.Spec for question answering helpfulness instance.Spec for question answering helpfulness result.Spec for question answering helpfulness result.Spec for question answering helpfulness metric.Spec for question answering helpfulness metric.Input for question answering quality metric.Input for question answering quality metric.Spec for question answering quality instance.Spec for question answering quality instance.Spec for question answering quality result.Spec for question answering quality result.Spec for question answering quality score metric.Spec for question answering quality score metric.Input for question answering relevance metric.Input for question answering relevance metric.Spec for question answering relevance instance.Spec for question answering relevance instance.Spec for question answering relevance result.Spec for question answering relevance result.Spec for question answering relevance metric.Spec for question answering relevance metric.A RagChunk includes the content of a chunk of a RagFile, and associated metadata.A RagChunk includes the content of a chunk of a RagFile, and associated metadata.Represents where the chunk starts and ends in the document.Represents where the chunk starts and ends in the document.Relevant contexts for one query.Relevant contexts for one query.A context of the query.A context of the query.A RagCorpus is a RagFile container and a project can have multiple RagCorpora.A RagCorpus is a RagFile container and a project can have multiple RagCorpora.The config for the corpus type of the RagCorpus.The config for the corpus type of the RagCorpus.Config for the document corpus.Config for the document corpus.Config for the memory corpus.Config for the memory corpus.Builder for projects/{project}/locations/{location}/ragCorpora/{rag_corpus}.The schema of the user specified metadata.The schema of the user specified metadata.Builder for projects/{project}/locations/{location}/ragCorpora/{rag_corpus}/ragDataSchemas/{rag_data_schema}.Config for the embedding model to use for RAG.Config for the embedding model to use for RAG.Config for hybrid search.Config for hybrid search.Configuration for sparse emebdding generation.Message for BM25 parameters.Message for BM25 parameters.Configuration for sparse emebdding generation.Config representing a model hosted on Vertex Prediction Endpoint.Config representing a model hosted on Vertex Prediction Endpoint.Config for RagEngine.Config for RagEngine.Builder for projects/{project}/locations/{location}/ragEngineConfig.A RagFile contains user data for chunking, embedding and indexing.A RagFile contains user data for chunking, embedding and indexing.The type of the RagFile.Specifies the size and overlap of chunks for RagFiles.Specifies the size and overlap of chunks for RagFiles.Specifies the fixed length chunking config.Specifies the fixed length chunking config.Metadata config for RagFile.Metadata config for RagFile.Builder for projects/{project}/locations/{location}/ragCorpora/{rag_corpus}/ragFiles/{rag_file}.Specifies the parsing config for RagFiles.Specifies the advanced parsing for RagFiles.Specifies the advanced parsing for RagFiles.Specifies the parsing config for RagFiles.Document AI Layout Parser config.Document AI Layout Parser config.Specifies the LLM parsing for RagFiles.Specifies the LLM parsing for RagFiles.Specifies the transformation config for RagFiles.Specifies the transformation config for RagFiles.Configuration message for RagManagedDb used by RagEngine.Basic tier is a cost-effective and low compute tier suitable for the following cases: * Experimenting with RagManagedDbBasic tier is a cost-effective and low compute tier suitable for the following cases: * Experimenting with RagManagedDbConfiguration message for RagManagedDb used by RagEngine.Deprecated.Enterprise tier offers production grade performance along with autoscaling functionality.Deprecated.Scaled tier offers production grade performance along with autoscaling functionality.Scaled tier offers production grade performance along with autoscaling functionality.Message to configure the serverless mode offered by RAG Engine.Message to configure the serverless mode offered by RAG Engine.Message to configure the Spanner database used by RagManagedDb.Message to configure the Spanner database used by RagManagedDb.Disables the RAG Engine service and deletes all your data held within this service.Disables the RAG Engine service and deletes all your data held within this service.Metadata for RagFile provided by users.Metadata for RagFile provided by users.Builder for projects/{project}/locations/{location}/ragCorpora/{rag_corpus}/ragFiles/{rag_file}/ragMetadata/{rag_metadata}.Data schema details indicates the data type and the data struct corresponding to the key of user specified metadata.Data schema details indicates the data type and the data struct corresponding to the key of user specified metadata.Data type of the metadata.The granularity of metadata under this DataSchema.Config for List data type.Config for List data type.The search strategy for the metadata value of the `key`.The search strategy for the metadata value of the `key`.The types of search strategies to be applied on the metadata key.A query to retrieve relevant contexts.A query to retrieve relevant contexts.Configurations for hybrid search results ranking.Configurations for hybrid search results ranking.Specifies the context retrieval config.Specifies the context retrieval config.Config for filters.Config for filters.Config for Hybrid Search.Config for Hybrid Search.Config for ranking and reranking.Config for ranking and reranking.Config for LlmRanker.Config for LlmRanker.Config for Rank Service.Config for Rank Service.Config for the Vector DB to use for RAG.Config for the Vector DB to use for RAG.The config for the Pinecone.The config for the Pinecone.The config for the default RAG-managed Vector DB.Config for ANN search.Config for ANN search.The config for the default RAG-managed Vector DB.Config for KNN search.Config for KNN search.The config for the RAG-managed Vertex Vector Search 2.0.The config for the RAG-managed Vertex Vector Search 2.0.The config for the Vertex Feature Store.The config for the Vertex Feature Store.The config for the Vertex Vector Search.The config for the Vertex Vector Search.The config for the Weaviate.The config for the Weaviate.Raw output.Raw output.Request message for [PredictionService.RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict].Request message for [PredictionService.RawPredict][google.cloud.aiplatform.v1beta1.PredictionService.RawPredict].Configuration for the Ray OSS Logs.Configuration for the Ray OSS Logs.Configuration for the Ray metrics.Configuration for the Ray metrics.Configuration information for the Ray cluster.Configuration information for the Ray cluster.Request message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].Request message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].Response message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].Response message for [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.ReadFeatureValues].Entity view with Feature values.Entity view with Feature values.Container to hold value(s), successive in time, for one Feature from the request.Container to hold value(s), successive in time, for one Feature from the request.Metadata for requested Features.Metadata for requested Features.Response header with metadata for the requested [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.entity_type] and Features.Response header with metadata for the requested [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1beta1.ReadFeatureValuesRequest.entity_type] and Features.The request message for [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1beta1.MatchService.ReadIndexDatapoints].The request message for [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1beta1.MatchService.ReadIndexDatapoints].The response message for [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1beta1.MatchService.ReadIndexDatapoints].The response message for [MatchService.ReadIndexDatapoints][google.cloud.aiplatform.v1beta1.MatchService.ReadIndexDatapoints].Request message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].Request message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].Response message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].Response message for [TensorboardService.ReadTensorboardBlobData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardBlobData].Request message for [TensorboardService.ReadTensorboardSize][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardSize].Request message for [TensorboardService.ReadTensorboardSize][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardSize].Response message for [TensorboardService.ReadTensorboardSize][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardSize].Response message for [TensorboardService.ReadTensorboardSize][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardSize].Request message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].Request message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].Response message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].Response message for [TensorboardService.ReadTensorboardTimeSeriesData][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardTimeSeriesData].Request message for [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardUsage].Request message for [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardUsage].Response message for [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardUsage].Response message for [TensorboardService.ReadTensorboardUsage][google.cloud.aiplatform.v1beta1.TensorboardService.ReadTensorboardUsage].Per month usage dataPer month usage dataPer user usage data.Per user usage data.ReasoningEngine provides a customizable runtime for models to determine which actions to take and in which order.ReasoningEngine provides a customizable runtime for models to determine which actions to take and in which order.Configuration for how Agent Engine sub-resources should manage context.Configuration for how Agent Engine sub-resources should manage context.Specification for a Memory Bank.Specification for a Memory Bank.Configuration for how to generate memories.Configuration for how to generate memories.Configuration for how to perform similarity search on memories.Configuration for how to perform similarity search on memories.Configuration for automatically setting the TTL ("time-to-live") of the memories in the Memory Bank.Configuration for automatically setting the TTL ("time-to-live") of the memories in the Memory Bank.Configuration for TTL of the memories in the Memory Bank based on the action that created or updated the memory.Configuration for TTL of the memories in the Memory Bank based on the action that created or updated the memory.Builder for projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}.ReasoningEngine configurationsReasoningEngine configurationsSpecification for deploying from a container image.Specification for deploying from a container image.The specification of a Reasoning Engine deployment.The specification of a Reasoning Engine deployment.User-provided package specification, containing pickled object and package requirements.User-provided package specification, containing pickled object and package requirements.Specification for deploying from source code.Specification for deploying from source code.Specifies the configuration for fetching source code from a Git repository that is managed by Developer Connect.Specifies the configuration for fetching source code from a Git repository that is managed by Developer Connect.Specifies source code to be fetched from a Git repository managed through the Developer Connect service.Specifies source code to be fetched from a Git repository managed through the Developer Connect service.The image spec for building an image (within a single build step), based on the config file (i.e.The image spec for building an image (within a single build step), based on the config file (i.e.Specifies source code provided as a byte stream.Specifies source code provided as a byte stream.Specification for running a Python application from source.Specification for running a Python application from source.Runtime operation information for [GenAiTuningService.RebaseTunedModel][google.cloud.aiplatform.v1beta1.GenAiTuningService.RebaseTunedModel].Runtime operation information for [GenAiTuningService.RebaseTunedModel][google.cloud.aiplatform.v1beta1.GenAiTuningService.RebaseTunedModel].Request message for [GenAiTuningService.RebaseTunedModel][google.cloud.aiplatform.v1beta1.GenAiTuningService.RebaseTunedModel].Request message for [GenAiTuningService.RebaseTunedModel][google.cloud.aiplatform.v1beta1.GenAiTuningService.RebaseTunedModel].Details of operations that perform reboot PersistentResource.Details of operations that perform reboot PersistentResource.Request message for [PersistentResourceService.RebootPersistentResource][google.cloud.aiplatform.v1beta1.PersistentResourceService.RebootPersistentResource].Request message for [PersistentResourceService.RebootPersistentResource][google.cloud.aiplatform.v1beta1.PersistentResourceService.RebootPersistentResource].Request message for [ModelService.RecommendSpec][google.cloud.aiplatform.v1beta1.ModelService.RecommendSpec].Request message for [ModelService.RecommendSpec][google.cloud.aiplatform.v1beta1.ModelService.RecommendSpec].Response message for [ModelService.RecommendSpec][google.cloud.aiplatform.v1beta1.ModelService.RecommendSpec].Response message for [ModelService.RecommendSpec][google.cloud.aiplatform.v1beta1.ModelService.RecommendSpec].A machine and model container spec.A machine and model container spec.Recommendation of one deployment option for the given custom weights model in one region.Recommendation of one deployment option for the given custom weights model in one region.The user accelerator quota state.Request message for [MetadataService.DeleteContextChildrenRequest][].Request message for [MetadataService.DeleteContextChildrenRequest][].Response message for [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.RemoveContextChildren].Response message for [MetadataService.RemoveContextChildren][google.cloud.aiplatform.v1beta1.MetadataService.RemoveContextChildren].Request message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1beta1.IndexService.RemoveDatapoints]Request message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1beta1.IndexService.RemoveDatapoints]Response message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1beta1.IndexService.RemoveDatapoints]Response message for [IndexService.RemoveDatapoints][google.cloud.aiplatform.v1beta1.IndexService.RemoveDatapoints]Request message for [ExampleStoreService.RemoveExamples][google.cloud.aiplatform.v1beta1.ExampleStoreService.RemoveExamples].Request message for [ExampleStoreService.RemoveExamples][google.cloud.aiplatform.v1beta1.ExampleStoreService.RemoveExamples].Response message for [ExampleStoreService.RemoveExamples][google.cloud.aiplatform.v1beta1.ExampleStoreService.RemoveExamples].Response message for [ExampleStoreService.RemoveExamples][google.cloud.aiplatform.v1beta1.ExampleStoreService.RemoveExamples].The configuration for the replicated voice to use.The configuration for the replicated voice to use.A ReservationAffinity can be used to configure a Vertex AI resource (e.g., a DeployedModel) to draw its Compute Engine resources from a Shared Reservation, or exclusively from on-demand capacity.A ReservationAffinity can be used to configure a Vertex AI resource (e.g., a DeployedModel) to draw its Compute Engine resources from a Shared Reservation, or exclusively from on-demand capacity.Identifies a type of reservation affinity.Represents the spec of a group of resources of the same type, for example machine type, disk, and accelerators, in a PersistentResource.The min/max number of replicas allowed if enabling autoscalingThe min/max number of replicas allowed if enabling autoscalingRepresents the spec of a group of resources of the same type, for example machine type, disk, and accelerators, in a PersistentResource.Persistent Cluster runtime information as outputPersistent Cluster runtime information as outputConfiguration for the runtime on a PersistentResource instance, including but not limited to: * Service accounts used to run the workloadsConfiguration for the runtime on a PersistentResource instance, including but not limited to: * Service accounts used to run the workloadsStatistics information about resource consumption.Statistics information about resource consumption.Runtime operation information for [DatasetService.RestoreDatasetVersion][google.cloud.aiplatform.v1beta1.DatasetService.RestoreDatasetVersion].Runtime operation information for [DatasetService.RestoreDatasetVersion][google.cloud.aiplatform.v1beta1.DatasetService.RestoreDatasetVersion].Request message for [DatasetService.RestoreDatasetVersion][google.cloud.aiplatform.v1beta1.DatasetService.RestoreDatasetVersion].Request message for [DatasetService.RestoreDatasetVersion][google.cloud.aiplatform.v1beta1.DatasetService.RestoreDatasetVersion].Request message for [JobService.ResumeModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.ResumeModelDeploymentMonitoringJob].Request message for [JobService.ResumeModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.ResumeModelDeploymentMonitoringJob].Request message for [ScheduleService.ResumeSchedule][google.cloud.aiplatform.v1beta1.ScheduleService.ResumeSchedule].Request message for [ScheduleService.ResumeSchedule][google.cloud.aiplatform.v1beta1.ScheduleService.ResumeSchedule].Defines a retrieval tool that model can call to access external knowledge.Defines a retrieval tool that model can call to access external knowledge.Retrieval config.Retrieval config.Metadata related to retrieval in the grounding flow.Metadata related to retrieval in the grounding flow.Request message for [VertexRagService.RetrieveContexts][google.cloud.aiplatform.v1beta1.VertexRagService.RetrieveContexts].Request message for [VertexRagService.RetrieveContexts][google.cloud.aiplatform.v1beta1.VertexRagService.RetrieveContexts].The data source for Vertex RagStore.The data source for Vertex RagStore.The definition of the Rag resource.The definition of the Rag resource.Response message for [VertexRagService.RetrieveContexts][google.cloud.aiplatform.v1beta1.VertexRagService.RetrieveContexts].Response message for [VertexRagService.RetrieveContexts][google.cloud.aiplatform.v1beta1.VertexRagService.RetrieveContexts].Request message for [MemoryBankService.RetrieveMemories][google.cloud.aiplatform.v1beta1.MemoryBankService.RetrieveMemories].Request message for [MemoryBankService.RetrieveMemories][google.cloud.aiplatform.v1beta1.MemoryBankService.RetrieveMemories].Parameters for semantic similarity search based retrieval.Parameters for semantic similarity search based retrieval.Parameters for simple (non-similarity search) retrieval.Parameters for simple (non-similarity search) retrieval.Response message for [MemoryBankService.RetrieveMemories][google.cloud.aiplatform.v1beta1.MemoryBankService.RetrieveMemories].Response message for [MemoryBankService.RetrieveMemories][google.cloud.aiplatform.v1beta1.MemoryBankService.RetrieveMemories].A retrieved memory.A retrieved memory.Configuration for rolling deployments.Configuration for rolling deployments.Input for rouge metric.Input for rouge metric.Spec for rouge instance.Spec for rouge instance.Rouge metric value for an instance.Rouge metric value for an instance.Results for rouge metric.Results for rouge metric.Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1.Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1.Message representing a single testable criterion for evaluation.Message representing a single testable criterion for evaluation.Content of the rubric, defining the testable criteria.Content of the rubric, defining the testable criteria.Defines criteria based on a specific property.Defines criteria based on a specific property.Importance level of the rubric.Instance and metric spec for RubricBasedInstructionFollowing metric.Instance and metric spec for RubricBasedInstructionFollowing metric.Instance for RubricBasedInstructionFollowing metric - one instance corresponds to one row in an evaluation dataset.Instance for RubricBasedInstructionFollowing metric - one instance corresponds to one row in an evaluation dataset.Result for RubricBasedInstructionFollowing metric.Result for RubricBasedInstructionFollowing metric.Spec for RubricBasedInstructionFollowing metric - returns rubrics and verdicts corresponding to rubrics along with overall score.Spec for RubricBasedInstructionFollowing metric - returns rubrics and verdicts corresponding to rubrics along with overall score.Rubric critique result.Rubric critique result.Specification for how rubrics should be generated.Specification for how rubrics should be generated.Specifies the type of rubric content to generate.A group of rubrics, used for grouping rubrics based on a metric or a version.A group of rubrics, used for grouping rubrics based on a metric or a version.Represents the verdict of an evaluation against a single rubric.Represents the verdict of an evaluation against a single rubric.The definition of a runtime artifact.The definition of a runtime artifact.Runtime configuration to run the extension.Runtime configuration to run the extension.Protobuf typegoogle.cloud.aiplatform.v1beta1.RuntimeConfig.CodeInterpreterRuntimeConfigProtobuf typegoogle.cloud.aiplatform.v1beta1.RuntimeConfig.CodeInterpreterRuntimeConfigProtobuf typegoogle.cloud.aiplatform.v1beta1.RuntimeConfig.VertexAISearchRuntimeConfigProtobuf typegoogle.cloud.aiplatform.v1beta1.RuntimeConfig.VertexAISearchRuntimeConfigInput for safety metric.Input for safety metric.Spec for safety instance.Spec for safety instance.Safety rating corresponding to the generated content.Safety rating corresponding to the generated content.Harm probability levels in the content.Harm severity levels.Spec for safety result.Spec for safety result.Safety settings.Safety settings.Probability vs severity.Probability based thresholds levels for blocking.Spec for safety metric.Spec for safety metric.Active learning data sampling config.Active learning data sampling config.Sample strategy decides which subset of DataItems should be selected for human labeling in every batch.An attribution method that approximates Shapley values for features that contribute to the label being predicted.An attribution method that approximates Shapley values for features that contribute to the label being predicted.Sampling Strategy for logging, can be for both training and prediction dataset.Sampling Strategy for logging, can be for both training and prediction dataset.Requests are randomly selected.Requests are randomly selected.A SavedQuery is a view of the dataset.A SavedQuery is a view of the dataset.Builder for projects/{project}/locations/{location}/datasets/{dataset}/savedQueries/{saved_query}.One point viewable on a scalar metric plot.One point viewable on a scalar metric plot.An instance of a Schedule periodically schedules runs to make API calls based on user specified time specification and API request type.An instance of a Schedule periodically schedules runs to make API calls based on user specified time specification and API request type.Status of a scheduled run.Status of a scheduled run.Possible state of the schedule.Schedule configuration for the FeatureMonitor.Schedule configuration for the FeatureMonitor.Builder for projects/{project}/locations/{location}/schedules/{schedule}.All parameters related to queuing and scheduling of custom jobs.All parameters related to queuing and scheduling of custom jobs.Optional.Schema is used to define the format of input/output data.Schema is used to define the format of input/output data.Request message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems].Request message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems].Expression that allows ranking results based on annotation's property.Expression that allows ranking results based on annotation's property.Response message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems].Response message for [DatasetService.SearchDataItems][google.cloud.aiplatform.v1beta1.DatasetService.SearchDataItems].Google search entry point.Google search entry point.Request message for [ExampleStoreService.SearchExamples][google.cloud.aiplatform.v1beta1.ExampleStoreService.SearchExamples].Request message for [ExampleStoreService.SearchExamples][google.cloud.aiplatform.v1beta1.ExampleStoreService.SearchExamples].Response message for [ExampleStoreService.SearchExamples][google.cloud.aiplatform.v1beta1.ExampleStoreService.SearchExamples].Response message for [ExampleStoreService.SearchExamples][google.cloud.aiplatform.v1beta1.ExampleStoreService.SearchExamples].The result of the similar example.The result of the similar example.Request message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].Request message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].Response message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].Response message for [FeaturestoreService.SearchFeatures][google.cloud.aiplatform.v1beta1.FeaturestoreService.SearchFeatures].Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].Request message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].Response message for [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].Request message for [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1beta1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].Request message for [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1beta1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].Stats requested for specific objective.Stats requested for specific objective.Response message for [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1beta1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].Response message for [JobService.SearchModelDeploymentMonitoringStatsAnomalies][google.cloud.aiplatform.v1beta1.JobService.SearchModelDeploymentMonitoringStatsAnomalies].Request message for [ModelMonitoringService.SearchModelMonitoringAlerts][google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringAlerts].Request message for [ModelMonitoringService.SearchModelMonitoringAlerts][google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringAlerts].Response message for [ModelMonitoringService.SearchModelMonitoringAlerts][google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringAlerts].Response message for [ModelMonitoringService.SearchModelMonitoringAlerts][google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringAlerts].Filter for searching ModelMonitoringStats.Filter for searching ModelMonitoringStats.Tabular statistics filter.Tabular statistics filter.Request message for [ModelMonitoringService.SearchModelMonitoringStats][google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringStats].Request message for [ModelMonitoringService.SearchModelMonitoringStats][google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringStats].Response message for [ModelMonitoringService.SearchModelMonitoringStats][google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringStats].Response message for [ModelMonitoringService.SearchModelMonitoringStats][google.cloud.aiplatform.v1beta1.ModelMonitoringService.SearchModelMonitoringStats].The request message for [FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService.SearchNearestEntities].The request message for [FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService.SearchNearestEntities].Response message for [FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService.SearchNearestEntities]Response message for [FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService.SearchNearestEntities]Represents an environment variable where the value is a secret in Cloud Secret Manager.Represents an environment variable where the value is a secret in Cloud Secret Manager.Reference to a secret stored in the Cloud Secret Manager that will provide the value for this environment variable.Reference to a secret stored in the Cloud Secret Manager that will provide the value for this environment variable.Segment of the content.Segment of the content.Configuration for the use of custom service account to run the workloads.Configuration for the use of custom service account to run the workloads.A session contains a set of actions between users and Vertex agents.A session contains a set of actions between users and Vertex agents.An event represents a message from either the user or agent.An event represents a message from either the user or agent.Builder for projects/{project}/locations/{location}/reasoningEngines/{reasoning_engine}/sessions/{session}.Runtime operation information for [EndpointService.SetPublisherModelConfig][google.cloud.aiplatform.v1beta1.EndpointService.SetPublisherModelConfig].Runtime operation information for [EndpointService.SetPublisherModelConfig][google.cloud.aiplatform.v1beta1.EndpointService.SetPublisherModelConfig].Request message for [EndpointService.SetPublisherModelConfig][google.cloud.aiplatform.v1beta1.EndpointService.SetPublisherModelConfig].Request message for [EndpointService.SetPublisherModelConfig][google.cloud.aiplatform.v1beta1.EndpointService.SetPublisherModelConfig].The SharePointSources to pass to ImportRagFiles.The SharePointSources to pass to ImportRagFiles.An individual SharePointSource.An individual SharePointSource.A set of Shielded Instance options.A set of Shielded Instance options.The Slack source for the ImportRagFilesRequest.The Slack source for the ImportRagFilesRequest.SlackChannels contains the Slack channels and corresponding access token.SlackChannels contains the Slack channels and corresponding access token.SlackChannel contains the Slack channel ID and the time range to import.SlackChannel contains the Slack channel ID and the time range to import.Config for SmoothGrad approximation of gradients.Config for SmoothGrad approximation of gradients.Configuration for a single speaker in a multi-speaker setup.Configuration for a single speaker in a multi-speaker setup.SpecialistPool represents customers' own workforce to work on their data labeling jobs.SpecialistPool represents customers' own workforce to work on their data labeling jobs.Builder for projects/{project}/locations/{location}/specialistPools/{specialist_pool}.Configuration for Speculative Decoding.Configuration for Speculative Decoding.Draft model speculation works by using the smaller model to generate candidate tokens for speculative decoding.Draft model speculation works by using the smaller model to generate candidate tokens for speculative decoding.N-Gram speculation works by trying to find matching tokens in the previous prompt sequence and use those as speculation for generating new tokens.N-Gram speculation works by trying to find matching tokens in the previous prompt sequence and use those as speculation for generating new tokens.Configuration for speech generation.Configuration for speech generation.Metadata information for [NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StartNotebookRuntime].Metadata information for [NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StartNotebookRuntime].Request message for [NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StartNotebookRuntime].Request message for [NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StartNotebookRuntime].Response message for [NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StartNotebookRuntime].Response message for [NotebookService.StartNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StartNotebookRuntime].Metadata information for [NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StopNotebookRuntime].Metadata information for [NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StopNotebookRuntime].Request message for [NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StopNotebookRuntime].Request message for [NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StopNotebookRuntime].Response message for [NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StopNotebookRuntime].Response message for [NotebookService.StopNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.StopNotebookRuntime].Request message for [VizierService.StopTrial][google.cloud.aiplatform.v1beta1.VizierService.StopTrial].Request message for [VizierService.StopTrial][google.cloud.aiplatform.v1beta1.VizierService.StopTrial].A ContentsExample to be used with GenerateContent alongside information required for storage and retrieval with Example Store.A ContentsExample to be used with GenerateContent alongside information required for storage and retrieval with Example Store.Options for generating the search key from the conversation history.Options for generating the search key from the conversation history.Configuration for using only the last entry of the conversation history as the search key.Configuration for using only the last entry of the conversation history as the search key.The metadata filters that will be used to remove or fetch StoredContentsExamples.The metadata filters that will be used to remove or fetch StoredContentsExamples.The metadata filters that will be used to search StoredContentsExamples.The metadata filters that will be used to search StoredContentsExamples.The chat history to use to generate the search key for retrieval.The chat history to use to generate the search key for retrieval.Assigns input data to the training, validation, and test sets so that the distribution of values found in the categorical column (as specified by the `key` field) is mirrored within each split.Assigns input data to the training, validation, and test sets so that the distribution of values found in the categorical column (as specified by the `key` field) is mirrored within each split.Request message for [PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamDirectPredict].Request message for [PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamDirectPredict].Response message for [PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamDirectPredict].Response message for [PredictionService.StreamDirectPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamDirectPredict].Request message for [PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamDirectRawPredict].Request message for [PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamDirectRawPredict].Response message for [PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamDirectRawPredict].Response message for [PredictionService.StreamDirectRawPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamDirectRawPredict].Request message for [FeatureOnlineStoreService.StreamingFetchFeatureValues][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService.StreamingFetchFeatureValues].Request message for [FeatureOnlineStoreService.StreamingFetchFeatureValues][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService.StreamingFetchFeatureValues].Response message for [FeatureOnlineStoreService.StreamingFetchFeatureValues][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService.StreamingFetchFeatureValues].Response message for [FeatureOnlineStoreService.StreamingFetchFeatureValues][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService.StreamingFetchFeatureValues].Request message for [PredictionService.StreamingPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamingPredict].Request message for [PredictionService.StreamingPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamingPredict].Response message for [PredictionService.StreamingPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamingPredict].Response message for [PredictionService.StreamingPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamingPredict].Request message for [PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamingRawPredict].Request message for [PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamingRawPredict].Response message for [PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamingRawPredict].Response message for [PredictionService.StreamingRawPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamingRawPredict].Request message for [FeaturestoreOnlineServingService.StreamingReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.StreamingReadFeatureValues].Request message for [FeaturestoreOnlineServingService.StreamingReadFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.StreamingReadFeatureValues].Request message for [ReasoningEngineExecutionService.StreamQuery][].Request message for [ReasoningEngineExecutionService.StreamQuery][].Request message for [PredictionService.StreamRawPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamRawPredict].Request message for [PredictionService.StreamRawPredict][google.cloud.aiplatform.v1beta1.PredictionService.StreamRawPredict].A list of string values.A list of string values.One field of a Struct (or object) type feature value.One field of a Struct (or object) type feature value.Struct (or object) type feature value.Struct (or object) type feature value.A message representing a Study.A message representing a Study.Describes the Study state.Builder for projects/{project}/locations/{location}/studies/{study}.Represents specification of a Study.The available search algorithms for the Study.Represents specification of a Study.Configuration for ConvexAutomatedStoppingSpec.Configuration for ConvexAutomatedStoppingSpec.Deprecated.Configuration for ConvexStopPolicy.Deprecated.The decay curve automated stopping rule builds a Gaussian Process Regressor to predict the final objective value of a Trial based on the already completed Trials and the intermediate measurements of the current Trial.The decay curve automated stopping rule builds a Gaussian Process Regressor to predict the final objective value of a Trial based on the already completed Trials and the intermediate measurements of the current Trial.This indicates which measurement to use if/when the service automatically selects the final measurement from previously reported intermediate measurements.The median automated stopping rule stops a pending Trial if the Trial's best objective_value is strictly below the median 'performance' of all completed Trials reported up to the Trial's last measurement.The median automated stopping rule stops a pending Trial if the Trial's best objective_value is strictly below the median 'performance' of all completed Trials reported up to the Trial's last measurement.Represents a metric to optimize.Represents a metric to optimize.The available types of optimization goals.Used in safe optimization to specify threshold levels and risk tolerance.Used in safe optimization to specify threshold levels and risk tolerance.Describes the noise level of the repeated observations.Represents a single parameter to optimize.Represents a single parameter to optimize.Value specification for a parameter in `CATEGORICAL` type.Value specification for a parameter in `CATEGORICAL` type.Represents a parameter spec with condition from its parent parameter.Represents a parameter spec with condition from its parent parameter.Represents the spec to match categorical values from parent parameter.Represents the spec to match categorical values from parent parameter.Represents the spec to match discrete values from parent parameter.Represents the spec to match discrete values from parent parameter.Represents the spec to match integer values from parent parameter.Represents the spec to match integer values from parent parameter.Value specification for a parameter in `DISCRETE` type.Value specification for a parameter in `DISCRETE` type.Value specification for a parameter in `DOUBLE` type.Value specification for a parameter in `DOUBLE` type.Value specification for a parameter in `INTEGER` type.Value specification for a parameter in `INTEGER` type.The type of scaling that should be applied to this parameter.The configuration (stopping conditions) for automated stopping of a Study.The configuration (stopping conditions) for automated stopping of a Study.This contains flag for manually disabling transfer learning for a study.This contains flag for manually disabling transfer learning for a study.Time-based Constraint for StudyTime-based Constraint for StudyDetails of operations that perform Trials suggestion.Details of operations that perform Trials suggestion.Request message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].Request message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].Response message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].Response message for [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].Input for summarization helpfulness metric.Input for summarization helpfulness metric.Spec for summarization helpfulness instance.Spec for summarization helpfulness instance.Spec for summarization helpfulness result.Spec for summarization helpfulness result.Spec for summarization helpfulness score metric.Spec for summarization helpfulness score metric.Input for summarization quality metric.Input for summarization quality metric.Spec for summarization quality instance.Spec for summarization quality instance.Spec for summarization quality result.Spec for summarization quality result.Spec for summarization quality score metric.Spec for summarization quality score metric.Input for summarization verbosity metric.Input for summarization verbosity metric.Spec for summarization verbosity instance.Spec for summarization verbosity instance.Spec for summarization verbosity result.Spec for summarization verbosity result.Spec for summarization verbosity score metric.Spec for summarization verbosity score metric.Hyperparameters for SFT.Supported adapter sizes for tuning.Hyperparameters for SFT.Dataset distribution for Supervised Tuning.Dataset distribution for Supervised Tuning.Dataset bucket used to create a histogram for the distribution given a population of values.Dataset bucket used to create a histogram for the distribution given a population of values.Tuning data statistics for Supervised Tuning.Tuning data statistics for Supervised Tuning.Tuning Spec for Supervised Tuning for first party models.Tuning Spec for Supervised Tuning for first party models.Supported tuning modes.Metadata for the SuspendOnlineEvaluator operation.Metadata for the SuspendOnlineEvaluator operation.Request message for SuspendOnlineEvaluator.Request message for SuspendOnlineEvaluator.Request message for [FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.SyncFeatureView].Request message for [FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.SyncFeatureView].Response message for [FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.SyncFeatureView].Response message for [FeatureOnlineStoreAdminService.SyncFeatureView][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.SyncFeatureView].A tensor value type.A tensor value type.Data type of the tensor.Tensorboard is a physical database that stores users' training metrics.Tensorboard is a physical database that stores users' training metrics.One blob (e.g, image, graph) viewable on a blob metric plot.One blob (e.g, image, graph) viewable on a blob metric plot.One point viewable on a blob metric plot, but mostly just a wrapper message to work around repeated fields can't be used directly within `oneof` fields.One point viewable on a blob metric plot, but mostly just a wrapper message to work around repeated fields can't be used directly within `oneof` fields.A TensorboardExperiment is a group of TensorboardRuns, that are typically the results of a training job run, in a Tensorboard.A TensorboardExperiment is a group of TensorboardRuns, that are typically the results of a training job run, in a Tensorboard.Builder for projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}.Builder for projects/{project}/locations/{location}/tensorboards/{tensorboard}.TensorboardRun maps to a specific execution of a training job with a given set of hyperparameter values, model definition, dataset, etcTensorboardRun maps to a specific execution of a training job with a given set of hyperparameter values, model definition, dataset, etcBuilder for projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}.One point viewable on a tensor metric plot.One point viewable on a tensor metric plot.TensorboardTimeSeries maps to times series produced in training runsTensorboardTimeSeries maps to times series produced in training runsDescribes metadata for a TensorboardTimeSeries.Describes metadata for a TensorboardTimeSeries.An enum representing the value type of a TensorboardTimeSeries.Builder for projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}/timeSeries/{time_series}.The storage details for TFRecord output content.The storage details for TFRecord output content.The config for feature monitoring threshold.The config for feature monitoring threshold.All the data stored in a TensorboardTimeSeries.All the data stored in a TensorboardTimeSeries.A TensorboardTimeSeries data point.A TensorboardTimeSeries data point.Assigns input data to training, validation, and test sets based on a provided timestamps.Assigns input data to training, validation, and test sets based on a provided timestamps.Tokens info with a list of tokens and the corresponding list of token ids.Tokens info with a list of tokens and the corresponding list of token ids.Tool details that the model may use to generate response.Tool details that the model may use to generate response.Tool that executes code generated by the model, and automatically returns the result to the model.Tool that executes code generated by the model, and automatically returns the result to the model.Tool to support computer use.Tool to support computer use.Represents the environment being operated, such as a web browser.GoogleSearch tool type.GoogleSearch tool type.ParallelAiSearch tool type.ParallelAiSearch tool type.These are available confidence level user can set to block malicious urls with chosen confidence and above.Spec for tool call.Spec for tool call.Input for tool call valid metric.Input for tool call valid metric.Spec for tool call valid instance.Spec for tool call valid instance.Tool call valid metric value for an instance.Tool call valid metric value for an instance.Results for tool call valid metric.Results for tool call valid metric.Spec for tool call valid metric.Spec for tool call valid metric.Tool config.Tool config.Input for tool name match metric.Input for tool name match metric.Spec for tool name match instance.Spec for tool name match instance.Tool name match metric value for an instance.Tool name match metric value for an instance.Results for tool name match metric.Results for tool name match metric.Spec for tool name match metric.Spec for tool name match metric.Input for tool parameter key match metric.Input for tool parameter key match metric.Spec for tool parameter key match instance.Spec for tool parameter key match instance.Tool parameter key match metric value for an instance.Tool parameter key match metric value for an instance.Results for tool parameter key match metric.Results for tool parameter key match metric.Spec for tool parameter key match metric.Spec for tool parameter key match metric.Input for tool parameter key value match metric.Input for tool parameter key value match metric.Spec for tool parameter key value match instance.Spec for tool parameter key value match instance.Tool parameter key value match metric value for an instance.Tool parameter key value match metric value for an instance.Results for tool parameter key value match metric.Results for tool parameter key value match metric.Spec for tool parameter key value match metric.Spec for tool parameter key value match metric.A single example of the tool usage.A single example of the tool usage.Identifies one operation of the extension.Identifies one operation of the extension.CMLE training config.CMLE training config.The TrainingPipeline orchestrates tasks associated with training a Model.The TrainingPipeline orchestrates tasks associated with training a Model.Builder for projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}.Spec for trajectory.Spec for trajectory.Instances and metric spec for TrajectoryAnyOrderMatch metric.Instances and metric spec for TrajectoryAnyOrderMatch metric.Spec for TrajectoryAnyOrderMatch instance.Spec for TrajectoryAnyOrderMatch instance.TrajectoryAnyOrderMatch metric value for an instance.TrajectoryAnyOrderMatch metric value for an instance.Results for TrajectoryAnyOrderMatch metric.Results for TrajectoryAnyOrderMatch metric.Spec for TrajectoryAnyOrderMatch metric - returns 1 if all tool calls in the reference trajectory appear in the predicted trajectory in any order, else 0.Spec for TrajectoryAnyOrderMatch metric - returns 1 if all tool calls in the reference trajectory appear in the predicted trajectory in any order, else 0.Instances and metric spec for TrajectoryExactMatch metric.Instances and metric spec for TrajectoryExactMatch metric.Spec for TrajectoryExactMatch instance.Spec for TrajectoryExactMatch instance.TrajectoryExactMatch metric value for an instance.TrajectoryExactMatch metric value for an instance.Results for TrajectoryExactMatch metric.Results for TrajectoryExactMatch metric.Spec for TrajectoryExactMatch metric - returns 1 if tool calls in the reference trajectory exactly match the predicted trajectory, else 0.Spec for TrajectoryExactMatch metric - returns 1 if tool calls in the reference trajectory exactly match the predicted trajectory, else 0.Instances and metric spec for TrajectoryInOrderMatch metric.Instances and metric spec for TrajectoryInOrderMatch metric.Spec for TrajectoryInOrderMatch instance.Spec for TrajectoryInOrderMatch instance.TrajectoryInOrderMatch metric value for an instance.TrajectoryInOrderMatch metric value for an instance.Results for TrajectoryInOrderMatch metric.Results for TrajectoryInOrderMatch metric.Spec for TrajectoryInOrderMatch metric - returns 1 if tool calls in the reference trajectory appear in the predicted trajectory in the same order, else 0.Spec for TrajectoryInOrderMatch metric - returns 1 if tool calls in the reference trajectory appear in the predicted trajectory in the same order, else 0.Instances and metric spec for TrajectoryPrecision metric.Instances and metric spec for TrajectoryPrecision metric.Spec for TrajectoryPrecision instance.Spec for TrajectoryPrecision instance.TrajectoryPrecision metric value for an instance.TrajectoryPrecision metric value for an instance.Results for TrajectoryPrecision metric.Results for TrajectoryPrecision metric.Spec for TrajectoryPrecision metric - returns a float score based on average precision of individual tool calls.Spec for TrajectoryPrecision metric - returns a float score based on average precision of individual tool calls.Instances and metric spec for TrajectoryRecall metric.Instances and metric spec for TrajectoryRecall metric.Spec for TrajectoryRecall instance.Spec for TrajectoryRecall instance.TrajectoryRecall metric value for an instance.TrajectoryRecall metric value for an instance.Results for TrajectoryRecall metric.Results for TrajectoryRecall metric.Spec for TrajectoryRecall metric - returns a float score based on average recall of individual tool calls.Spec for TrajectoryRecall metric - returns a float score based on average recall of individual tool calls.Instances and metric spec for TrajectorySingleToolUse metric.Instances and metric spec for TrajectorySingleToolUse metric.Spec for TrajectorySingleToolUse instance.Spec for TrajectorySingleToolUse instance.TrajectorySingleToolUse metric value for an instance.TrajectorySingleToolUse metric value for an instance.Results for TrajectorySingleToolUse metric.Results for TrajectorySingleToolUse metric.Spec for TrajectorySingleToolUse metric - returns 1 if tool is present in the predicted trajectory, else 0.Spec for TrajectorySingleToolUse metric - returns 1 if tool is present in the predicted trajectory, else 0.Audio transcription in Server Content.Audio transcription in Server Content.A message representing a Trial.A message representing a Trial.A message representing a parameter to be tuned.A message representing a parameter to be tuned.Describes a Trial state.Protobuf typegoogle.cloud.aiplatform.v1beta1.TrialContextProtobuf typegoogle.cloud.aiplatform.v1beta1.TrialContextBuilder for projects/{project}/locations/{location}/studies/{study}/trials/{trial}.The Model Registry Model and Online Prediction Endpoint associated with this [TuningJob][google.cloud.aiplatform.v1.TuningJob].The Model Registry Model and Online Prediction Endpoint associated with this [TuningJob][google.cloud.aiplatform.v1.TuningJob].TunedModelCheckpoint for the Tuned Model of a Tuning Job.TunedModelCheckpoint for the Tuned Model of a Tuning Job.TunedModel Reference for legacy model migration.TunedModel Reference for legacy model migration.The tuning data statistic values for [TuningJob][google.cloud.aiplatform.v1.TuningJob].The tuning data statistic values for [TuningJob][google.cloud.aiplatform.v1.TuningJob].Represents a TuningJob that runs with Google owned models.Represents a TuningJob that runs with Google owned models.Builder for projects/{project}/locations/{location}/tuningJobs/{tuning_job}.Type contains the list of OpenAPI data types as defined by https://swagger.io/docs/specification/data-models/data-types/Runtime operation information for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].Runtime operation information for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].Request message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].Request message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].Response message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].Response message for [IndexEndpointService.UndeployIndex][google.cloud.aiplatform.v1beta1.IndexEndpointService.UndeployIndex].Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].Runtime operation information for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].Request message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].Response message for [EndpointService.UndeployModel][google.cloud.aiplatform.v1beta1.EndpointService.UndeployModel].Contains model information necessary to perform batch prediction without requiring a full model import.Contains model information necessary to perform batch prediction without requiring a full model import.Request message for [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.UpdateArtifact].Request message for [MetadataService.UpdateArtifact][google.cloud.aiplatform.v1beta1.MetadataService.UpdateArtifact].Request message for [GenAiCacheService.UpdateCachedContent][google.cloud.aiplatform.v1beta1.GenAiCacheService.UpdateCachedContent].Request message for [GenAiCacheService.UpdateCachedContent][google.cloud.aiplatform.v1beta1.GenAiCacheService.UpdateCachedContent].Request message for [MetadataService.UpdateContext][google.cloud.aiplatform.v1beta1.MetadataService.UpdateContext].Request message for [MetadataService.UpdateContext][google.cloud.aiplatform.v1beta1.MetadataService.UpdateContext].Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1beta1.DatasetService.UpdateDataset].Request message for [DatasetService.UpdateDataset][google.cloud.aiplatform.v1beta1.DatasetService.UpdateDataset].Request message for [DatasetService.UpdateDatasetVersion][google.cloud.aiplatform.v1beta1.DatasetService.UpdateDatasetVersion].Request message for [DatasetService.UpdateDatasetVersion][google.cloud.aiplatform.v1beta1.DatasetService.UpdateDatasetVersion].Runtime operation information for UpdateDeploymentResourcePool method.Runtime operation information for UpdateDeploymentResourcePool method.Request message for UpdateDeploymentResourcePool method.Request message for UpdateDeploymentResourcePool method.Request message for [EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpointLongRunning].Request message for [EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpointLongRunning].Runtime operation information for [EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpointLongRunning].Runtime operation information for [EndpointService.UpdateEndpointLongRunning][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpointLongRunning].Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].Request message for [EndpointService.UpdateEndpoint][google.cloud.aiplatform.v1beta1.EndpointService.UpdateEndpoint].Request message for [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateEntityType].Request message for [FeaturestoreService.UpdateEntityType][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateEntityType].Details of [ExampleStoreService.UpdateExampleStore][google.cloud.aiplatform.v1beta1.ExampleStoreService.UpdateExampleStore] operation.Details of [ExampleStoreService.UpdateExampleStore][google.cloud.aiplatform.v1beta1.ExampleStoreService.UpdateExampleStore] operation.Request message for [ExampleStoreService.UpdateExampleStore][google.cloud.aiplatform.v1beta1.ExampleStoreService.UpdateExampleStore].Request message for [ExampleStoreService.UpdateExampleStore][google.cloud.aiplatform.v1beta1.ExampleStoreService.UpdateExampleStore].Request message for [MetadataService.UpdateExecution][google.cloud.aiplatform.v1beta1.MetadataService.UpdateExecution].Request message for [MetadataService.UpdateExecution][google.cloud.aiplatform.v1beta1.MetadataService.UpdateExecution].Runtime operation information for [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset].Runtime operation information for [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset].Request message for [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset].Request message for [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset].Response message of [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset] operation.Response message of [ModelService.UpdateExplanationDataset][google.cloud.aiplatform.v1beta1.ModelService.UpdateExplanationDataset] operation.Request message for [ExtensionRegistryService.UpdateExtension][google.cloud.aiplatform.v1beta1.ExtensionRegistryService.UpdateExtension].Request message for [ExtensionRegistryService.UpdateExtension][google.cloud.aiplatform.v1beta1.ExtensionRegistryService.UpdateExtension].Details of operations that perform update FeatureGroup.Details of operations that perform update FeatureGroup.Request message for [FeatureRegistryService.UpdateFeatureGroup][google.cloud.aiplatform.v1beta1.FeatureRegistryService.UpdateFeatureGroup].Request message for [FeatureRegistryService.UpdateFeatureGroup][google.cloud.aiplatform.v1beta1.FeatureRegistryService.UpdateFeatureGroup].Details of operations that perform update FeatureMonitor.Details of operations that perform update FeatureMonitor.Request message for [FeatureRegistryService.UpdateFeatureMonitor][google.cloud.aiplatform.v1beta1.FeatureRegistryService.UpdateFeatureMonitor].Request message for [FeatureRegistryService.UpdateFeatureMonitor][google.cloud.aiplatform.v1beta1.FeatureRegistryService.UpdateFeatureMonitor].Details of operations that perform update FeatureOnlineStore.Details of operations that perform update FeatureOnlineStore.Request message for [FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore].Request message for [FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.UpdateFeatureOnlineStore].Details of operations that perform update Feature.Details of operations that perform update Feature.Request message for [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeature].Request message for [FeaturestoreService.UpdateFeature][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeature].Details of operations that perform update Featurestore.Details of operations that perform update Featurestore.Request message for [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeaturestore].Request message for [FeaturestoreService.UpdateFeaturestore][google.cloud.aiplatform.v1beta1.FeaturestoreService.UpdateFeaturestore].Details of operations that perform update FeatureView.Details of operations that perform update FeatureView.Request message for [FeatureOnlineStoreAdminService.UpdateFeatureView][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.UpdateFeatureView].Request message for [FeatureOnlineStoreAdminService.UpdateFeatureView][google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService.UpdateFeatureView].Request message for [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.UpdateIndexEndpoint].Request message for [IndexEndpointService.UpdateIndexEndpoint][google.cloud.aiplatform.v1beta1.IndexEndpointService.UpdateIndexEndpoint].Runtime operation information for [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].Runtime operation information for [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].Request message for [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].Request message for [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].Details of [MemoryBankService.UpdateMemory][google.cloud.aiplatform.v1beta1.MemoryBankService.UpdateMemory] operation.Details of [MemoryBankService.UpdateMemory][google.cloud.aiplatform.v1beta1.MemoryBankService.UpdateMemory] operation.Request message for [MemoryBankService.UpdateMemory][google.cloud.aiplatform.v1beta1.MemoryBankService.UpdateMemory].Request message for [MemoryBankService.UpdateMemory][google.cloud.aiplatform.v1beta1.MemoryBankService.UpdateMemory].Runtime operation information for [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.UpdateModelDeploymentMonitoringJob].Runtime operation information for [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.UpdateModelDeploymentMonitoringJob].Request message for [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.UpdateModelDeploymentMonitoringJob].Request message for [JobService.UpdateModelDeploymentMonitoringJob][google.cloud.aiplatform.v1beta1.JobService.UpdateModelDeploymentMonitoringJob].Runtime operation information for [ModelMonitoringService.UpdateModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.UpdateModelMonitor].Runtime operation information for [ModelMonitoringService.UpdateModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.UpdateModelMonitor].Request message for [ModelMonitoringService.UpdateModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.UpdateModelMonitor].Request message for [ModelMonitoringService.UpdateModelMonitor][google.cloud.aiplatform.v1beta1.ModelMonitoringService.UpdateModelMonitor].Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1beta1.ModelService.UpdateModel].Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1beta1.ModelService.UpdateModel].Request message for [NotebookService.UpdateNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.UpdateNotebookRuntimeTemplate].Request message for [NotebookService.UpdateNotebookRuntimeTemplate][google.cloud.aiplatform.v1beta1.NotebookService.UpdateNotebookRuntimeTemplate].Metadata for the UpdateOnlineEvaluator operation.Metadata for the UpdateOnlineEvaluator operation.Request message for UpdateOnlineEvaluator.Request message for UpdateOnlineEvaluator.Details of operations that perform update PersistentResource.Details of operations that perform update PersistentResource.Request message for UpdatePersistentResource method.Request message for UpdatePersistentResource method.Runtime operation information for [VertexRagDataService.UpdateRagCorpus][google.cloud.aiplatform.v1beta1.VertexRagDataService.UpdateRagCorpus].Runtime operation information for [VertexRagDataService.UpdateRagCorpus][google.cloud.aiplatform.v1beta1.VertexRagDataService.UpdateRagCorpus].Request message for [VertexRagDataService.UpdateRagCorpus][google.cloud.aiplatform.v1beta1.VertexRagDataService.UpdateRagCorpus].Request message for [VertexRagDataService.UpdateRagCorpus][google.cloud.aiplatform.v1beta1.VertexRagDataService.UpdateRagCorpus].Runtime operation information for [VertexRagDataService.UpdateRagEngineConfig][google.cloud.aiplatform.v1beta1.VertexRagDataService.UpdateRagEngineConfig].Runtime operation information for [VertexRagDataService.UpdateRagEngineConfig][google.cloud.aiplatform.v1beta1.VertexRagDataService.UpdateRagEngineConfig].Request message for [VertexRagDataService.UpdateRagEngineConfig][google.cloud.aiplatform.v1beta1.VertexRagDataService.UpdateRagEngineConfig].Request message for [VertexRagDataService.UpdateRagEngineConfig][google.cloud.aiplatform.v1beta1.VertexRagDataService.UpdateRagEngineConfig].Request message for [VertexRagDataService.UpdateRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.UpdateRagMetadata].Request message for [VertexRagDataService.UpdateRagMetadata][google.cloud.aiplatform.v1beta1.VertexRagDataService.UpdateRagMetadata].Details of [ReasoningEngineService.UpdateReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineService.UpdateReasoningEngine] operation.Details of [ReasoningEngineService.UpdateReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineService.UpdateReasoningEngine] operation.Request message for [ReasoningEngineService.UpdateReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineService.UpdateReasoningEngine].Request message for [ReasoningEngineService.UpdateReasoningEngine][google.cloud.aiplatform.v1beta1.ReasoningEngineService.UpdateReasoningEngine].Request message for [ScheduleService.UpdateSchedule][google.cloud.aiplatform.v1beta1.ScheduleService.UpdateSchedule].Request message for [ScheduleService.UpdateSchedule][google.cloud.aiplatform.v1beta1.ScheduleService.UpdateSchedule].Request message for [SessionService.UpdateSession][google.cloud.aiplatform.v1beta1.SessionService.UpdateSession].Request message for [SessionService.UpdateSession][google.cloud.aiplatform.v1beta1.SessionService.UpdateSession].Runtime operation metadata for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.UpdateSpecialistPool].Runtime operation metadata for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.UpdateSpecialistPool].Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.UpdateSpecialistPool].Request message for [SpecialistPoolService.UpdateSpecialistPool][google.cloud.aiplatform.v1beta1.SpecialistPoolService.UpdateSpecialistPool].Request message for [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardExperiment].Request message for [TensorboardService.UpdateTensorboardExperiment][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardExperiment].Details of operations that perform update Tensorboard.Details of operations that perform update Tensorboard.Request message for [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboard].Request message for [TensorboardService.UpdateTensorboard][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboard].Request message for [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardRun].Request message for [TensorboardService.UpdateTensorboardRun][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardRun].Request message for [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardTimeSeries].Request message for [TensorboardService.UpdateTensorboardTimeSeries][google.cloud.aiplatform.v1beta1.TensorboardService.UpdateTensorboardTimeSeries].Metadata information for [NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.UpgradeNotebookRuntime].Metadata information for [NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.UpgradeNotebookRuntime].Request message for [NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.UpgradeNotebookRuntime].Request message for [NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.UpgradeNotebookRuntime].Response message for [NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.UpgradeNotebookRuntime].Response message for [NotebookService.UpgradeNotebookRuntime][google.cloud.aiplatform.v1beta1.NotebookService.UpgradeNotebookRuntime].Details of [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] operation.Details of [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] operation.Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel].Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel].Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] operation.Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] operation.Config for uploading RagFile.Config for uploading RagFile.Request message for [VertexRagDataService.UploadRagFile][google.cloud.aiplatform.v1beta1.VertexRagDataService.UploadRagFile].Request message for [VertexRagDataService.UploadRagFile][google.cloud.aiplatform.v1beta1.VertexRagDataService.UploadRagFile].Response message for [VertexRagDataService.UploadRagFile][google.cloud.aiplatform.v1beta1.VertexRagDataService.UploadRagFile].Response message for [VertexRagDataService.UploadRagFile][google.cloud.aiplatform.v1beta1.VertexRagDataService.UploadRagFile].Request message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1beta1.IndexService.UpsertDatapoints]Request message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1beta1.IndexService.UpsertDatapoints]Response message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1beta1.IndexService.UpsertDatapoints]Response message for [IndexService.UpsertDatapoints][google.cloud.aiplatform.v1beta1.IndexService.UpsertDatapoints]Request message for [ExampleStoreService.UpsertExamples][google.cloud.aiplatform.v1beta1.ExampleStoreService.UpsertExamples].Request message for [ExampleStoreService.UpsertExamples][google.cloud.aiplatform.v1beta1.ExampleStoreService.UpsertExamples].Response message for [ExampleStoreService.UpsertExamples][google.cloud.aiplatform.v1beta1.ExampleStoreService.UpsertExamples].Response message for [ExampleStoreService.UpsertExamples][google.cloud.aiplatform.v1beta1.ExampleStoreService.UpsertExamples].The result for creating/updating a single example.The result for creating/updating a single example.Tool to support URL context.Tool to support URL context.Metadata related to url context retrieval tool.Metadata related to url context retrieval tool.Context of the a single url retrieval.Context of the a single url retrieval.Status of the url retrieval.Usage metadata about the content generation request and response.Usage metadata about the content generation request and response.The type of traffic that this request was processed with, indicating which quota gets consumed.References an API call.References an API call.Metadata provided by users.Metadata provided by users.Value is the value of the field.Value is the value of the field.Hyperparameters for Veo.Adapter size for LoRA tuning.Hyperparameters for Veo.The speed of the tuning job.An enum defining the tuning task used for Veo.Tuning Spec for Veo LoRA Model Tuning.Tuning Spec for Veo LoRA Model Tuning.Tuning Spec for Veo Model Tuning.Tuning Spec for Veo Model Tuning.Retrieve from Vertex AI Search datastore or engine for grounding.Retrieve from Vertex AI Search datastore or engine for grounding.Define data stores within engine to filter on in a search call and configurations for those data stores.Define data stores within engine to filter on in a search call and configurations for those data stores.Config for the Vertex AI Search.Config for the Vertex AI Search.The details for a Vertex Multimodal Dataset output.The details for a Vertex Multimodal Dataset output.The Vertex Multimodal Dataset for the input content.The Vertex Multimodal Dataset for the input content.Retrieve from Vertex RAG Store for grounding.Retrieve from Vertex RAG Store for grounding.The definition of the Rag resource.The definition of the Rag resource.Metadata describes the input video content.Metadata describes the input video content.Configuration for a voice.Configuration for a voice.Represents the spec of a worker pool in a job.Represents the spec of a worker pool in a job.Contains Feature values to be written for a specific entity.Contains Feature values to be written for a specific entity.Request message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.WriteFeatureValues].Request message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.WriteFeatureValues].Response message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.WriteFeatureValues].Response message for [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService.WriteFeatureValues].Request message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].Request message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].Response message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].Response message for [TensorboardService.WriteTensorboardExperimentData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardExperimentData].Request message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].Request message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].Response message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].Response message for [TensorboardService.WriteTensorboardRunData][google.cloud.aiplatform.v1beta1.TensorboardService.WriteTensorboardRunData].An explanation method that redistributes Integrated Gradients attributions to segmented regions, taking advantage of the model's fully differentiable structure.An explanation method that redistributes Integrated Gradients attributions to segmented regions, taking advantage of the model's fully differentiable structure.