Vertex AI API

Train high-quality custom machine learning models with minimal machine learning expertise and effort.

Service: aiplatform.googleapis.com

The Service nameaiplatform.googleapis.com is needed to create RPC client stubs.

`google.cloud.aiplatform.v1.DatasetService`

Methods
`CreateDataset`	Creates a Dataset.
`CreateDatasetVersion`	Create a version from a Dataset.
`DeleteDataset`	Deletes a Dataset.
`DeleteDatasetVersion`	Deletes a Dataset version.
`DeleteSavedQuery`	Deletes a SavedQuery.
`ExportData`	Exports data from a Dataset.
`GetAnnotationSpec`	Gets an AnnotationSpec.
`GetDataset`	Gets a Dataset.
`GetDatasetVersion`	Gets a Dataset version.
`ImportData`	Imports data into a Dataset.
`ListAnnotations`	Lists Annotations belongs to a dataitem.
`ListDataItems`	Lists DataItems in a Dataset.
`ListDatasetVersions`	Lists DatasetVersions in a Dataset.
`ListDatasets`	Lists Datasets in a Location.
`ListSavedQueries`	Lists SavedQueries in a Dataset.
`RestoreDatasetVersion`	Restores a dataset version.
`SearchDataItems`	Searches DataItems in a Dataset.
`UpdateDataset`	Updates a Dataset.
`UpdateDatasetVersion`	Updates a DatasetVersion.

`google.cloud.aiplatform.v1.DeploymentResourcePoolService`

Methods
`CreateDeploymentResourcePool`	Create a DeploymentResourcePool.
`DeleteDeploymentResourcePool`	Delete a DeploymentResourcePool.
`GetDeploymentResourcePool`	Get a DeploymentResourcePool.
`ListDeploymentResourcePools`	List DeploymentResourcePools in a location.
`QueryDeployedModels`	List DeployedModels that have been deployed on this DeploymentResourcePool.
`UpdateDeploymentResourcePool`	Update a DeploymentResourcePool.

`google.cloud.aiplatform.v1.EndpointService`

Methods
`CreateEndpoint`	Creates an Endpoint.
`DeleteEndpoint`	Deletes an Endpoint.
`DeployModel`	Deploys a Model into this Endpoint, creating a DeployedModel within it.
`GetEndpoint`	Gets an Endpoint.
`ListEndpoints`	Lists Endpoints in a Location.
`MutateDeployedModel`	Updates an existing deployed model.
`UndeployModel`	Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources it's using.
`UpdateEndpoint`	Updates an Endpoint.
`UpdateEndpointLongRunning`	Updates an Endpoint with a long running operation.

`google.cloud.aiplatform.v1.EvaluationService`

Methods
`EvaluateInstances`	Evaluates instances based on a given metric.

`google.cloud.aiplatform.v1.FeatureOnlineStoreAdminService`

Methods
`CreateFeatureOnlineStore`	Creates a new FeatureOnlineStore in a given project and location.
`CreateFeatureView`	Creates a new FeatureView in a given FeatureOnlineStore.
`DeleteFeatureOnlineStore`	Deletes a single FeatureOnlineStore.
`DeleteFeatureView`	Deletes a single FeatureView.
`GetFeatureOnlineStore`	Gets details of a single FeatureOnlineStore.
`GetFeatureView`	Gets details of a single FeatureView.
`GetFeatureViewSync`	Gets details of a single FeatureViewSync.
`ListFeatureOnlineStores`	Lists FeatureOnlineStores in a given project and location.
`ListFeatureViewSyncs`	Lists FeatureViewSyncs in a given FeatureView.
`ListFeatureViews`	Lists FeatureViews in a given FeatureOnlineStore.
`SyncFeatureView`	Triggers on-demand sync for the FeatureView.
`UpdateFeatureOnlineStore`	Updates the parameters of a single FeatureOnlineStore.
`UpdateFeatureView`	Updates the parameters of a single FeatureView.

`google.cloud.aiplatform.v1.FeatureOnlineStoreService`

Methods
`FeatureViewDirectWrite`	Bidirectional streaming RPC to directly write to feature values in a feature view.
`FetchFeatureValues`	Fetch feature values under a FeatureView.
`GenerateFetchAccessToken`	RPC to generate an access token for the given feature view.
`SearchNearestEntities`	Search the nearest entities under a FeatureView.

`google.cloud.aiplatform.v1.FeatureRegistryService`

Methods
`BatchCreateFeatures`	Creates a batch of Features in a given FeatureGroup.
`CreateFeature`	Creates a new Feature in a given FeatureGroup.
`CreateFeatureGroup`	Creates a new FeatureGroup in a given project and location.
`DeleteFeature`	Deletes a single Feature.
`DeleteFeatureGroup`	Deletes a single FeatureGroup.
`GetFeature`	Gets details of a single Feature.
`GetFeatureGroup`	Gets details of a single FeatureGroup.
`ListFeatureGroups`	Lists FeatureGroups in a given project and location.
`ListFeatures`	Lists Features in a given FeatureGroup.
`UpdateFeature`	Updates the parameters of a single Feature.
`UpdateFeatureGroup`	Updates the parameters of a single FeatureGroup.

`google.cloud.aiplatform.v1.FeaturestoreOnlineServingService`

Methods
`ReadFeatureValues`	Reads Feature values of a specific entity of an EntityType.
`StreamingReadFeatureValues`	Reads Feature values for multiple entities.
`WriteFeatureValues`	Writes Feature values of one or more entities of an EntityType.

`google.cloud.aiplatform.v1.FeaturestoreService`

Methods
`BatchCreateFeatures`	Creates a batch of Features in a given EntityType.
`BatchReadFeatureValues`	Batch reads Feature values from a Featurestore.
`CreateEntityType`	Creates a new EntityType in a given Featurestore.
`CreateFeature`	Creates a new Feature in a given EntityType.
`CreateFeaturestore`	Creates a new Featurestore in a given project and location.
`DeleteEntityType`	Deletes a single EntityType.
`DeleteFeature`	Deletes a single Feature.
`DeleteFeatureValues`	Delete Feature values from Featurestore.
`DeleteFeaturestore`	Deletes a single Featurestore.
`ExportFeatureValues`	Exports Feature values from all the entities of a target EntityType.
`GetEntityType`	Gets details of a single EntityType.
`GetFeature`	Gets details of a single Feature.
`GetFeaturestore`	Gets details of a single Featurestore.
`ImportFeatureValues`	Imports Feature values into the Featurestore from a source storage.
`ListEntityTypes`	Lists EntityTypes in a given Featurestore.
`ListFeatures`	Lists Features in a given EntityType.
`ListFeaturestores`	Lists Featurestores in a given project and location.
`SearchFeatures`	Searches Features matching a query in a given project.
`UpdateEntityType`	Updates the parameters of a single EntityType.
`UpdateFeature`	Updates the parameters of a single Feature.
`UpdateFeaturestore`	Updates the parameters of a single Featurestore.

`google.cloud.aiplatform.v1.GenAiCacheService`

Methods
`CreateCachedContent`	Creates cached content, this call will initialize the cached content in the data storage, and users need to pay for the cache data storage.
`DeleteCachedContent`	Deletes cached content
`GetCachedContent`	Gets cached content configurations
`ListCachedContents`	Lists cached contents in a project
`UpdateCachedContent`	Updates cached content configurations

`google.cloud.aiplatform.v1.GenAiTuningService`

Methods
`CancelTuningJob`	Cancels a TuningJob.
`CreateTuningJob`	Creates a TuningJob.
`GetTuningJob`	Gets a TuningJob.
`ListTuningJobs`	Lists TuningJobs in a Location.
`RebaseTunedModel`	Rebase a TunedModel.

`google.cloud.aiplatform.v1.IndexEndpointService`

Methods
`CreateIndexEndpoint`	Creates an IndexEndpoint.
`DeleteIndexEndpoint`	Deletes an IndexEndpoint.
`DeployIndex`	Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it.
`GetIndexEndpoint`	Gets an IndexEndpoint.
`ListIndexEndpoints`	Lists IndexEndpoints in a Location.
`MutateDeployedIndex`	Update an existing DeployedIndex under an IndexEndpoint.
`UndeployIndex`	Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it, and freeing all resources it's using.
`UpdateIndexEndpoint`	Updates an IndexEndpoint.

`google.cloud.aiplatform.v1.IndexService`

Methods
`CreateIndex`	Creates an Index.
`DeleteIndex`	Deletes an Index.
`GetIndex`	Gets an Index.
`ListIndexes`	Lists Indexes in a Location.
`RemoveDatapoints`	Remove Datapoints from an Index.
`UpdateIndex`	Updates an Index.
`UpsertDatapoints`	Add/update Datapoints into an Index.

`google.cloud.aiplatform.v1.JobService`

Methods
`CancelBatchPredictionJob`	Cancels a BatchPredictionJob.
`CancelCustomJob`	Cancels a CustomJob.
`CancelHyperparameterTuningJob`	Cancels a HyperparameterTuningJob.
`CancelNasJob`	Cancels a NasJob.
`CreateBatchPredictionJob`	Creates a BatchPredictionJob.
`CreateCustomJob`	Creates a CustomJob.
`CreateHyperparameterTuningJob`	Creates a HyperparameterTuningJob
`CreateModelDeploymentMonitoringJob`	Creates a ModelDeploymentMonitoringJob.
`CreateNasJob`	Creates a NasJob
`DeleteBatchPredictionJob`	Deletes a BatchPredictionJob.
`DeleteCustomJob`	Deletes a CustomJob.
`DeleteHyperparameterTuningJob`	Deletes a HyperparameterTuningJob.
`DeleteModelDeploymentMonitoringJob`	Deletes a ModelDeploymentMonitoringJob.
`DeleteNasJob`	Deletes a NasJob.
`GetBatchPredictionJob`	Gets a BatchPredictionJob
`GetCustomJob`	Gets a CustomJob.
`GetHyperparameterTuningJob`	Gets a HyperparameterTuningJob
`GetModelDeploymentMonitoringJob`	Gets a ModelDeploymentMonitoringJob.
`GetNasJob`	Gets a NasJob
`GetNasTrialDetail`	Gets a NasTrialDetail.
`ListBatchPredictionJobs`	Lists BatchPredictionJobs in a Location.
`ListCustomJobs`	Lists CustomJobs in a Location.
`ListHyperparameterTuningJobs`	Lists HyperparameterTuningJobs in a Location.
`ListModelDeploymentMonitoringJobs`	Lists ModelDeploymentMonitoringJobs in a Location.
`ListNasJobs`	Lists NasJobs in a Location.
`ListNasTrialDetails`	List top NasTrialDetails of a NasJob.
`PauseModelDeploymentMonitoringJob`	Pauses a ModelDeploymentMonitoringJob.
`ResumeModelDeploymentMonitoringJob`	Resumes a paused ModelDeploymentMonitoringJob.
`SearchModelDeploymentMonitoringStatsAnomalies`	Searches Model Monitoring Statistics generated within a given time window.
`UpdateModelDeploymentMonitoringJob`	Updates a ModelDeploymentMonitoringJob.

`google.cloud.aiplatform.v1.MatchService`

Methods

`google.cloud.aiplatform.v1.MetadataService`

Methods
`AddContextArtifactsAndExecutions`	Adds a set of Artifacts and Executions to a Context.
`AddContextChildren`	Adds a set of Contexts as children to a parent Context.
`AddExecutionEvents`	Adds Events to the specified Execution.
`CreateArtifact`	Creates an Artifact associated with a MetadataStore.
`CreateContext`	Creates a Context associated with a MetadataStore.
`CreateExecution`	Creates an Execution associated with a MetadataStore.
`CreateMetadataSchema`	Creates a MetadataSchema.
`CreateMetadataStore`	Initializes a MetadataStore, including allocation of resources.
`DeleteArtifact`	Deletes an Artifact.
`DeleteContext`	Deletes a stored Context.
`DeleteExecution`	Deletes an Execution.
`DeleteMetadataStore`	Deletes a single MetadataStore and all its child resources (Artifacts, Executions, and Contexts).
`GetArtifact`	Retrieves a specific Artifact.
`GetContext`	Retrieves a specific Context.
`GetExecution`	Retrieves a specific Execution.
`GetMetadataSchema`	Retrieves a specific MetadataSchema.
`GetMetadataStore`	Retrieves a specific MetadataStore.
`ListArtifacts`	Lists Artifacts in the MetadataStore.
`ListContexts`	Lists Contexts on the MetadataStore.
`ListExecutions`	Lists Executions in the MetadataStore.
`ListMetadataSchemas`	Lists MetadataSchemas.
`ListMetadataStores`	Lists MetadataStores for a Location.
`PurgeArtifacts`	Purges Artifacts.
`PurgeContexts`	Purges Contexts.
`PurgeExecutions`	Purges Executions.
`QueryArtifactLineageSubgraph`	Retrieves lineage of an Artifact represented through Artifacts and Executions connected by Event edges and returned as a LineageSubgraph.
`QueryContextLineageSubgraph`	Retrieves Artifacts and Executions within the specified Context, connected by Event edges and returned as a LineageSubgraph.
`QueryExecutionInputsAndOutputs`	Obtains the set of input and output Artifacts for this Execution, in the form of LineageSubgraph that also contains the Execution and connecting Events.
`RemoveContextChildren`	Remove a set of children contexts from a parent Context.
`UpdateArtifact`	Updates a stored Artifact.
`UpdateContext`	Updates a stored Context.
`UpdateExecution`	Updates a stored Execution.

`google.cloud.aiplatform.v1.MigrationService`

Methods
`BatchMigrateResources`	Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and datalabeling.googleapis.com to Vertex AI.
`SearchMigratableResources`	Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com that can be migrated to Vertex AI's given location.

`google.cloud.aiplatform.v1.ModelGardenService`

Methods
`Deploy`	Deploys a model to a new endpoint.
`GetPublisherModel`	Gets a Model Garden publisher model.

`google.cloud.aiplatform.v1.ModelService`

Methods
`BatchImportEvaluatedAnnotations`	Imports a list of externally generated EvaluatedAnnotations.
`BatchImportModelEvaluationSlices`	Imports a list of externally generated ModelEvaluationSlice.
`CopyModel`	Copies an already existing Vertex AI Model into the specified Location.
`DeleteModel`	Deletes a Model.
`DeleteModelVersion`	Deletes a Model version.
`ExportModel`	Exports a trained, exportable Model to a location specified by the user.
`GetModel`	Gets a Model.
`GetModelEvaluation`	Gets a ModelEvaluation.
`GetModelEvaluationSlice`	Gets a ModelEvaluationSlice.
`ImportModelEvaluation`	Imports an externally generated ModelEvaluation.
`ListModelEvaluationSlices`	Lists ModelEvaluationSlices in a ModelEvaluation.
`ListModelEvaluations`	Lists ModelEvaluations in a Model.
`ListModelVersionCheckpoints`	Lists checkpoints of the specified model version.
`ListModelVersions`	Lists versions of the specified model.
`ListModels`	Lists Models in a Location.
`MergeVersionAliases`	Merges a set of aliases for a Model version.
`UpdateExplanationDataset`	Incrementally update the dataset used for an examples model.
`UpdateModel`	Updates a Model.
`UploadModel`	Uploads a Model artifact into Vertex AI.

`google.cloud.aiplatform.v1.NotebookService`

Methods
`AssignNotebookRuntime`	Assigns a NotebookRuntime to a user for a particular Notebook file.
`CreateNotebookExecutionJob`	Creates a NotebookExecutionJob.
`CreateNotebookRuntimeTemplate`	Creates a NotebookRuntimeTemplate.
`DeleteNotebookExecutionJob`	Deletes a NotebookExecutionJob.
`DeleteNotebookRuntime`	Deletes a NotebookRuntime.
`DeleteNotebookRuntimeTemplate`	Deletes a NotebookRuntimeTemplate.
`GetNotebookExecutionJob`	Gets a NotebookExecutionJob.
`GetNotebookRuntime`	Gets a NotebookRuntime.
`GetNotebookRuntimeTemplate`	Gets a NotebookRuntimeTemplate.
`ListNotebookExecutionJobs`	Lists NotebookExecutionJobs in a Location.
`ListNotebookRuntimeTemplates`	Lists NotebookRuntimeTemplates in a Location.
`ListNotebookRuntimes`	Lists NotebookRuntimes in a Location.
`StartNotebookRuntime`	Starts a NotebookRuntime.
`StopNotebookRuntime`	Stops a NotebookRuntime.
`UpdateNotebookRuntimeTemplate`	Updates a NotebookRuntimeTemplate.
`UpgradeNotebookRuntime`	Upgrades a NotebookRuntime.

`google.cloud.aiplatform.v1.PersistentResourceService`

Methods
`CreatePersistentResource`	Creates a PersistentResource.
`DeletePersistentResource`	Deletes a PersistentResource.
`GetPersistentResource`	Gets a PersistentResource.
`ListPersistentResources`	Lists PersistentResources in a Location.
`RebootPersistentResource`	Reboots a PersistentResource.
`UpdatePersistentResource`	Updates a PersistentResource.

`google.cloud.aiplatform.v1.PipelineService`

Methods
`BatchCancelPipelineJobs`	Batch cancel PipelineJobs.
`BatchDeletePipelineJobs`	Batch deletes PipelineJobs The Operation is atomic.
`CancelPipelineJob`	Cancels a PipelineJob.
`CancelTrainingPipeline`	Cancels a TrainingPipeline.
`CreatePipelineJob`	Creates a PipelineJob.
`CreateTrainingPipeline`	Creates a TrainingPipeline.
`DeletePipelineJob`	Deletes a PipelineJob.
`DeleteTrainingPipeline`	Deletes a TrainingPipeline.
`GetPipelineJob`	Gets a PipelineJob.
`GetTrainingPipeline`	Gets a TrainingPipeline.
`ListPipelineJobs`	Lists PipelineJobs in a Location.
`ListTrainingPipelines`	Lists TrainingPipelines in a Location.

`google.cloud.aiplatform.v1.PredictionService`

Methods
`DirectPredict`	Perform an unary online prediction request to a gRPC model server for Vertex first-party products and frameworks.
`DirectRawPredict`	Perform an unary online prediction request to a gRPC model server for custom containers.
`EmbedContent`	Embed content with multimodal inputs.
`Explain`	Perform an online explanation.
`Predict`	Perform an online prediction.
`PredictLongRunning`
`RawPredict`	Perform an online prediction with an arbitrary HTTP payload.
`ServerStreamingPredict`	Perform a server-side streaming online prediction request for Vertex LLM streaming.
`StreamDirectPredict`	Perform a streaming online prediction request to a gRPC model server for Vertex first-party products and frameworks.
`StreamDirectRawPredict`	Perform a streaming online prediction request to a gRPC model server for custom containers.
`StreamRawPredict`	Perform a streaming online prediction with an arbitrary HTTP payload.
`StreamingPredict`	Perform a streaming online prediction request for Vertex first-party products and frameworks.
`StreamingRawPredict`	Perform a streaming online prediction request through gRPC.

`google.cloud.aiplatform.v1.ReasoningEngineExecutionService`

Methods
`QueryReasoningEngine`	Queries using a reasoning engine.
`StreamQueryReasoningEngine`	Streams queries using a reasoning engine.

`google.cloud.aiplatform.v1.ReasoningEngineService`

Methods
`CreateReasoningEngine`	Creates a reasoning engine.
`DeleteReasoningEngine`	Deletes a reasoning engine.
`GetReasoningEngine`	Gets a reasoning engine.
`ListReasoningEngines`	Lists reasoning engines in a location.
`UpdateReasoningEngine`	Updates a reasoning engine.

`google.cloud.aiplatform.v1.ScheduleService`

Methods
`CreateSchedule`	Creates a Schedule.
`DeleteSchedule`	Deletes a Schedule.
`GetSchedule`	Gets a Schedule.
`ListSchedules`	Lists Schedules in a Location.
`PauseSchedule`	Pauses a Schedule.
`ResumeSchedule`	Resumes a paused Schedule to start scheduling new runs.
`UpdateSchedule`	Updates an active or paused Schedule.

`google.cloud.aiplatform.v1.SpecialistPoolService`

Methods
`CreateSpecialistPool`	Creates a SpecialistPool.
`DeleteSpecialistPool`	Deletes a SpecialistPool as well as all Specialists in the pool.
`GetSpecialistPool`	Gets a SpecialistPool.
`ListSpecialistPools`	Lists SpecialistPools in a Location.
`UpdateSpecialistPool`	Updates a SpecialistPool.

`google.cloud.aiplatform.v1.TensorboardService`

Methods
`BatchCreateTensorboardRuns`	Batch create TensorboardRuns.
`BatchCreateTensorboardTimeSeries`	Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
`BatchReadTensorboardTimeSeriesData`	Reads multiple TensorboardTimeSeries' data.
`CreateTensorboard`	Creates a Tensorboard.
`CreateTensorboardExperiment`	Creates a TensorboardExperiment.
`CreateTensorboardRun`	Creates a TensorboardRun.
`CreateTensorboardTimeSeries`	Creates a TensorboardTimeSeries.
`DeleteTensorboard`	Deletes a Tensorboard.
`DeleteTensorboardExperiment`	Deletes a TensorboardExperiment.
`DeleteTensorboardRun`	Deletes a TensorboardRun.
`DeleteTensorboardTimeSeries`	Deletes a TensorboardTimeSeries.
`ExportTensorboardTimeSeriesData`	Exports a TensorboardTimeSeries' data.
`GetTensorboard`	Gets a Tensorboard.
`GetTensorboardExperiment`	Gets a TensorboardExperiment.
`GetTensorboardRun`	Gets a TensorboardRun.
`GetTensorboardTimeSeries`	Gets a TensorboardTimeSeries.
`ListTensorboardExperiments`	Lists TensorboardExperiments in a Location.
`ListTensorboardRuns`	Lists TensorboardRuns in a Location.
`ListTensorboardTimeSeries`	Lists TensorboardTimeSeries in a Location.
`ListTensorboards`	Lists Tensorboards in a Location.
`ReadTensorboardBlobData`	Gets bytes of TensorboardBlobs.
`ReadTensorboardSize`	Returns the storage size for a given TensorBoard instance.
`ReadTensorboardTimeSeriesData`	Reads a TensorboardTimeSeries' data.
`ReadTensorboardUsage`	Returns a list of monthly active users for a given TensorBoard instance.
`UpdateTensorboard`	Updates a Tensorboard.
`UpdateTensorboardExperiment`	Updates a TensorboardExperiment.
`UpdateTensorboardRun`	Updates a TensorboardRun.
`UpdateTensorboardTimeSeries`	Updates a TensorboardTimeSeries.
`WriteTensorboardExperimentData`	Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's.
`WriteTensorboardRunData`	Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun.

`google.cloud.aiplatform.v1.VertexRagDataService`

Methods
`CreateRagCorpus`	Creates a RagCorpus.
`DeleteRagCorpus`	Deletes a RagCorpus.
`DeleteRagFile`	Deletes a RagFile.
`GetRagCorpus`	Gets a RagCorpus.
`GetRagEngineConfig`	Gets a RagEngineConfig.
`GetRagFile`	Gets a RagFile.
`ImportRagFiles`	Import files from Google Cloud Storage or Google Drive into a RagCorpus.
`ListRagCorpora`	Lists RagCorpora in a Location.
`ListRagFiles`	Lists RagFiles in a RagCorpus.
`UpdateRagCorpus`	Updates a RagCorpus.
`UpdateRagEngineConfig`	Updates a RagEngineConfig.

`google.cloud.aiplatform.v1.VertexRagService`

Methods
`AugmentPrompt`	Given an input prompt, it returns augmented prompt from vertex rag store to guide LLM towards generating grounded responses.
`CorroborateContent`	Given an input text, it returns a score that evaluates the factuality of the text.
`RetrieveContexts`	Retrieves relevant contexts for a query.

`google.cloud.aiplatform.v1.VizierService`

Methods
`AddTrialMeasurement`	Adds a measurement of the objective metrics to a Trial.
`CheckTrialEarlyStoppingState`	Checks whether a Trial should stop or not.
`CompleteTrial`	Marks a Trial as complete.
`CreateStudy`	Creates a Study.
`CreateTrial`	Adds a user provided Trial to a Study.
`DeleteStudy`	Deletes a Study.
`DeleteTrial`	Deletes a Trial.
`GetStudy`	Gets a Study by name.
`GetTrial`	Gets a Trial.
`ListOptimalTrials`	Lists the pareto-optimal Trials for multi-objective Study or the optimal Trials for single-objective Study.
`ListStudies`	Lists all the studies in a region for an associated project.
`ListTrials`	Lists the Trials associated with a Study.
`LookupStudy`	Looks a study up using the user-defined display_name field instead of the fully qualified resource name.
`StopTrial`	Stops a Trial.
`SuggestTrials`	Adds one or more Trials to a Study, with parameter values suggested by Vertex AI Vizier.

`google.cloud.aiplatform.v1beta1.DatasetService`

Methods
`AssembleData`	Assembles each row of a multimodal dataset and writes the result into a BigQuery table.
`AssessData`	Assesses the state or validity of the dataset with respect to a given use case.
`CreateDataset`	Creates a Dataset.
`CreateDatasetVersion`	Create a version from a Dataset.
`DeleteDataset`	Deletes a Dataset.
`DeleteDatasetVersion`	Deletes a Dataset version.
`DeleteSavedQuery`	Deletes a SavedQuery.
`ExportData`	Exports data from a Dataset.
`GetAnnotationSpec`	Gets an AnnotationSpec.
`GetDataset`	Gets a Dataset.
`GetDatasetVersion`	Gets a Dataset version.
`ImportData`	Imports data into a Dataset.
`ListAnnotations`	Lists Annotations belongs to a dataitem.
`ListDataItems`	Lists DataItems in a Dataset.
`ListDatasetVersions`	Lists DatasetVersions in a Dataset.
`ListDatasets`	Lists Datasets in a Location.
`ListSavedQueries`	Lists SavedQueries in a Dataset.
`RestoreDatasetVersion`	Restores a dataset version.
`SearchDataItems`	Searches DataItems in a Dataset.
`UpdateDataset`	Updates a Dataset.
`UpdateDatasetVersion`	Updates a DatasetVersion.

`google.cloud.aiplatform.v1beta1.DeploymentResourcePoolService`

Methods
`CreateDeploymentResourcePool`	Create a DeploymentResourcePool.
`DeleteDeploymentResourcePool`	Delete a DeploymentResourcePool.
`GetDeploymentResourcePool`	Get a DeploymentResourcePool.
`ListDeploymentResourcePools`	List DeploymentResourcePools in a location.
`QueryDeployedModels`	List DeployedModels that have been deployed on this DeploymentResourcePool.
`UpdateDeploymentResourcePool`	Update a DeploymentResourcePool.

`google.cloud.aiplatform.v1beta1.EndpointService`

Methods
`CreateEndpoint`	Creates an Endpoint.
`DeleteEndpoint`	Deletes an Endpoint.
`DeployModel`	Deploys a Model into this Endpoint, creating a DeployedModel within it.
`FetchPublisherModelConfig`	Fetches the configs of publisher models.
`GetEndpoint`	Gets an Endpoint.
`ListEndpoints`	Lists Endpoints in a Location.
`MutateDeployedModel`	Updates an existing deployed model.
`SetPublisherModelConfig`	Sets (creates or updates) configs of publisher models.
`UndeployModel`	Undeploys a Model from an Endpoint, removing a DeployedModel from it, and freeing all resources it's using.
`UpdateEndpoint`	Updates an Endpoint.
`UpdateEndpointLongRunning`	Updates an Endpoint with a long running operation.

`google.cloud.aiplatform.v1beta1.EvaluationService`

Methods
`EvaluateDataset`	Evaluates a dataset based on a set of given metrics.
`EvaluateInstances`	Evaluates instances based on a given metric.

`google.cloud.aiplatform.v1beta1.ExampleStoreService`

Methods
`CreateExampleStore`	Create an ExampleStore.
`DeleteExampleStore`	Delete an ExampleStore.
`FetchExamples`	Get Examples from the Example Store.
`GetExampleStore`	Get an ExampleStore.
`ListExampleStores`	List ExampleStores in a Location.
`RemoveExamples`	Remove Examples from the Example Store.
`SearchExamples`	Search for similar Examples for given selection criteria.
`UpdateExampleStore`	Update an ExampleStore.
`UpsertExamples`	Create or update Examples in the Example Store.

`google.cloud.aiplatform.v1beta1.ExtensionExecutionService`

Methods
`ExecuteExtension`	Executes the request against a given extension.
`QueryExtension`	Queries an extension with a default controller.

`google.cloud.aiplatform.v1beta1.ExtensionRegistryService`

Methods
`DeleteExtension`	Deletes an Extension.
`GetExtension`	Gets an Extension.
`ImportExtension`	Imports an Extension.
`ListExtensions`	Lists Extensions in a location.
`UpdateExtension`	Updates an Extension.

`google.cloud.aiplatform.v1beta1.FeatureOnlineStoreAdminService`

Methods
`CreateFeatureOnlineStore`	Creates a new FeatureOnlineStore in a given project and location.
`CreateFeatureView`	Creates a new FeatureView in a given FeatureOnlineStore.
`DeleteFeatureOnlineStore`	Deletes a single FeatureOnlineStore.
`DeleteFeatureView`	Deletes a single FeatureView.
`GetFeatureOnlineStore`	Gets details of a single FeatureOnlineStore.
`GetFeatureView`	Gets details of a single FeatureView.
`GetFeatureViewSync`	Gets details of a single FeatureViewSync.
`ListFeatureOnlineStores`	Lists FeatureOnlineStores in a given project and location.
`ListFeatureViewSyncs`	Lists FeatureViewSyncs in a given FeatureView.
`ListFeatureViews`	Lists FeatureViews in a given FeatureOnlineStore.
`SyncFeatureView`	Triggers on-demand sync for the FeatureView.
`UpdateFeatureOnlineStore`	Updates the parameters of a single FeatureOnlineStore.
`UpdateFeatureView`	Updates the parameters of a single FeatureView.

`google.cloud.aiplatform.v1beta1.FeatureOnlineStoreService`

Methods
`FeatureViewDirectWrite`	Bidirectional streaming RPC to directly write to feature values in a feature view.
`FetchFeatureValues`	Fetch feature values under a FeatureView.
`GenerateFetchAccessToken`	RPC to generate an access token for the given feature view.
`SearchNearestEntities`	Search the nearest entities under a FeatureView.
`StreamingFetchFeatureValues`	Bidirectional streaming RPC to fetch feature values under a FeatureView.

`google.cloud.aiplatform.v1beta1.FeatureRegistryService`

Methods
`BatchCreateFeatures`	Creates a batch of Features in a given FeatureGroup.
`CreateFeature`	Creates a new Feature in a given FeatureGroup.
`CreateFeatureGroup`	Creates a new FeatureGroup in a given project and location.
`CreateFeatureMonitor`	Creates a new FeatureMonitor in a given project, location and FeatureGroup.
`CreateFeatureMonitorJob`	Creates a new feature monitor job.
`DeleteFeature`	Deletes a single Feature.
`DeleteFeatureGroup`	Deletes a single FeatureGroup.
`DeleteFeatureMonitor`	Deletes a single FeatureMonitor.
`GetFeature`	Gets details of a single Feature.
`GetFeatureGroup`	Gets details of a single FeatureGroup.
`GetFeatureMonitor`	Gets details of a single FeatureMonitor.
`GetFeatureMonitorJob`	Get a feature monitor job.
`ListFeatureGroups`	Lists FeatureGroups in a given project and location.
`ListFeatureMonitorJobs`	List feature monitor jobs.
`ListFeatureMonitors`	Lists FeatureGroups in a given project and location.
`ListFeatures`	Lists Features in a given FeatureGroup.
`UpdateFeature`	Updates the parameters of a single Feature.
`UpdateFeatureGroup`	Updates the parameters of a single FeatureGroup.
`UpdateFeatureMonitor`	Updates the parameters of a single FeatureMonitor.

`google.cloud.aiplatform.v1beta1.FeaturestoreOnlineServingService`

Methods
`ReadFeatureValues`	Reads Feature values of a specific entity of an EntityType.
`StreamingReadFeatureValues`	Reads Feature values for multiple entities.
`WriteFeatureValues`	Writes Feature values of one or more entities of an EntityType.

`google.cloud.aiplatform.v1beta1.FeaturestoreService`

Methods
`BatchCreateFeatures`	Creates a batch of Features in a given EntityType.
`BatchReadFeatureValues`	Batch reads Feature values from a Featurestore.
`CreateEntityType`	Creates a new EntityType in a given Featurestore.
`CreateFeature`	Creates a new Feature in a given EntityType.
`CreateFeaturestore`	Creates a new Featurestore in a given project and location.
`DeleteEntityType`	Deletes a single EntityType.
`DeleteFeature`	Deletes a single Feature.
`DeleteFeatureValues`	Delete Feature values from Featurestore.
`DeleteFeaturestore`	Deletes a single Featurestore.
`ExportFeatureValues`	Exports Feature values from all the entities of a target EntityType.
`GetEntityType`	Gets details of a single EntityType.
`GetFeature`	Gets details of a single Feature.
`GetFeaturestore`	Gets details of a single Featurestore.
`ImportFeatureValues`	Imports Feature values into the Featurestore from a source storage.
`ListEntityTypes`	Lists EntityTypes in a given Featurestore.
`ListFeatures`	Lists Features in a given EntityType.
`ListFeaturestores`	Lists Featurestores in a given project and location.
`SearchFeatures`	Searches Features matching a query in a given project.
`UpdateEntityType`	Updates the parameters of a single EntityType.
`UpdateFeature`	Updates the parameters of a single Feature.
`UpdateFeaturestore`	Updates the parameters of a single Featurestore.

`google.cloud.aiplatform.v1beta1.GenAiCacheService`

Methods
`CreateCachedContent`	Creates cached content, this call will initialize the cached content in the data storage, and users need to pay for the cache data storage.
`DeleteCachedContent`	Deletes cached content
`GetCachedContent`	Gets cached content configurations
`ListCachedContents`	Lists cached contents in a project
`UpdateCachedContent`	Updates cached content configurations

`google.cloud.aiplatform.v1beta1.GenAiTuningService`

Methods
`CancelTuningJob`	Cancels a TuningJob.
`CreateTuningJob`	Creates a TuningJob.
`GetTuningJob`	Gets a TuningJob.
`ListTuningJobs`	Lists TuningJobs in a Location.
`RebaseTunedModel`	Rebase a TunedModel.

`google.cloud.aiplatform.v1beta1.IndexEndpointService`

Methods
`CreateIndexEndpoint`	Creates an IndexEndpoint.
`DeleteIndexEndpoint`	Deletes an IndexEndpoint.
`DeployIndex`	Deploys an Index into this IndexEndpoint, creating a DeployedIndex within it.
`GetIndexEndpoint`	Gets an IndexEndpoint.
`ListIndexEndpoints`	Lists IndexEndpoints in a Location.
`MutateDeployedIndex`	Update an existing DeployedIndex under an IndexEndpoint.
`UndeployIndex`	Undeploys an Index from an IndexEndpoint, removing a DeployedIndex from it, and freeing all resources it's using.
`UpdateIndexEndpoint`	Updates an IndexEndpoint.

`google.cloud.aiplatform.v1beta1.IndexService`

Methods
`CreateIndex`	Creates an Index.
`DeleteIndex`	Deletes an Index.
`GetIndex`	Gets an Index.
`ImportIndex`	Imports an Index from an external source (e.g., BigQuery).
`ListIndexes`	Lists Indexes in a Location.
`RemoveDatapoints`	Remove Datapoints from an Index.
`UpdateIndex`	Updates an Index.
`UpsertDatapoints`	Add/update Datapoints into an Index.

`google.cloud.aiplatform.v1beta1.JobService`

Methods
`CancelBatchPredictionJob`	Cancels a BatchPredictionJob.
`CancelCustomJob`	Cancels a CustomJob.
`CancelHyperparameterTuningJob`	Cancels a HyperparameterTuningJob.
`CreateBatchPredictionJob`	Creates a BatchPredictionJob.
`CreateCustomJob`	Creates a CustomJob.
`CreateHyperparameterTuningJob`	Creates a HyperparameterTuningJob
`CreateModelDeploymentMonitoringJob`	Creates a ModelDeploymentMonitoringJob.
`DeleteBatchPredictionJob`	Deletes a BatchPredictionJob.
`DeleteCustomJob`	Deletes a CustomJob.
`DeleteHyperparameterTuningJob`	Deletes a HyperparameterTuningJob.
`DeleteModelDeploymentMonitoringJob`	Deletes a ModelDeploymentMonitoringJob.
`GetBatchPredictionJob`	Gets a BatchPredictionJob
`GetCustomJob`	Gets a CustomJob.
`GetHyperparameterTuningJob`	Gets a HyperparameterTuningJob
`GetModelDeploymentMonitoringJob`	Gets a ModelDeploymentMonitoringJob.
`ListBatchPredictionJobs`	Lists BatchPredictionJobs in a Location.
`ListCustomJobs`	Lists CustomJobs in a Location.
`ListHyperparameterTuningJobs`	Lists HyperparameterTuningJobs in a Location.
`ListModelDeploymentMonitoringJobs`	Lists ModelDeploymentMonitoringJobs in a Location.
`PauseModelDeploymentMonitoringJob`	Pauses a ModelDeploymentMonitoringJob.
`ResumeModelDeploymentMonitoringJob`	Resumes a paused ModelDeploymentMonitoringJob.
`SearchModelDeploymentMonitoringStatsAnomalies`	Searches Model Monitoring Statistics generated within a given time window.
`UpdateModelDeploymentMonitoringJob`	Updates a ModelDeploymentMonitoringJob.

`google.cloud.aiplatform.v1beta1.MatchService`

Methods

`google.cloud.aiplatform.v1beta1.MemoryBankService`

Methods
`CreateMemory`	Create a Memory.
`DeleteMemory`	Delete a Memory.
`GenerateMemories`	Generate memories.
`GetMemory`	Get a Memory.
`ListMemories`	List Memories.
`RetrieveMemories`	Retrieve memories.
`UpdateMemory`	Update a Memory.

`google.cloud.aiplatform.v1beta1.MetadataService`

Methods
`AddContextArtifactsAndExecutions`	Adds a set of Artifacts and Executions to a Context.
`AddContextChildren`	Adds a set of Contexts as children to a parent Context.
`AddExecutionEvents`	Adds Events to the specified Execution.
`CreateArtifact`	Creates an Artifact associated with a MetadataStore.
`CreateContext`	Creates a Context associated with a MetadataStore.
`CreateExecution`	Creates an Execution associated with a MetadataStore.
`CreateMetadataSchema`	Creates a MetadataSchema.
`CreateMetadataStore`	Initializes a MetadataStore, including allocation of resources.
`DeleteArtifact`	Deletes an Artifact.
`DeleteContext`	Deletes a stored Context.
`DeleteExecution`	Deletes an Execution.
`DeleteMetadataStore`	Deletes a single MetadataStore and all its child resources (Artifacts, Executions, and Contexts).
`GetArtifact`	Retrieves a specific Artifact.
`GetContext`	Retrieves a specific Context.
`GetExecution`	Retrieves a specific Execution.
`GetMetadataSchema`	Retrieves a specific MetadataSchema.
`GetMetadataStore`	Retrieves a specific MetadataStore.
`ListArtifacts`	Lists Artifacts in the MetadataStore.
`ListContexts`	Lists Contexts on the MetadataStore.
`ListExecutions`	Lists Executions in the MetadataStore.
`ListMetadataSchemas`	Lists MetadataSchemas.
`ListMetadataStores`	Lists MetadataStores for a Location.
`PurgeArtifacts`	Purges Artifacts.
`PurgeContexts`	Purges Contexts.
`PurgeExecutions`	Purges Executions.
`QueryArtifactLineageSubgraph`	Retrieves lineage of an Artifact represented through Artifacts and Executions connected by Event edges and returned as a LineageSubgraph.
`QueryContextLineageSubgraph`	Retrieves Artifacts and Executions within the specified Context, connected by Event edges and returned as a LineageSubgraph.
`QueryExecutionInputsAndOutputs`	Obtains the set of input and output Artifacts for this Execution, in the form of LineageSubgraph that also contains the Execution and connecting Events.
`RemoveContextChildren`	Remove a set of children contexts from a parent Context.
`UpdateArtifact`	Updates a stored Artifact.
`UpdateContext`	Updates a stored Context.
`UpdateExecution`	Updates a stored Execution.

`google.cloud.aiplatform.v1beta1.MigrationService`

Methods
`BatchMigrateResources`	Batch migrates resources from ml.googleapis.com, automl.googleapis.com, and datalabeling.googleapis.com to Vertex AI.
`SearchMigratableResources`	Searches all of the resources in automl.googleapis.com, datalabeling.googleapis.com and ml.googleapis.com that can be migrated to Vertex AI's given location.

`google.cloud.aiplatform.v1beta1.ModelGardenService`

Methods
`AcceptPublisherModelEula`	Accepts the EULA acceptance status of a publisher model.
`CheckPublisherModelEulaAcceptance`	Checks the EULA acceptance status of a publisher model.
`Deploy`	Deploys a model to a new endpoint.
`DeployPublisherModel (deprecated)`	Deploys publisher models.
`ExportPublisherModel`	Exports a publisher model to a user provided Google Cloud Storage bucket.
`GetPublisherModel`	Gets a Model Garden publisher model.
`ListPublisherModels`	Lists publisher models in Model Garden.

`google.cloud.aiplatform.v1beta1.ModelMonitoringService`

Methods
`CreateModelMonitor`	Creates a ModelMonitor.
`CreateModelMonitoringJob`	Creates a ModelMonitoringJob.
`DeleteModelMonitor`	Deletes a ModelMonitor.
`DeleteModelMonitoringJob`	Deletes a ModelMonitoringJob.
`GetModelMonitor`	Gets a ModelMonitor.
`GetModelMonitoringJob`	Gets a ModelMonitoringJob.
`ListModelMonitoringJobs`	Lists ModelMonitoringJobs.
`ListModelMonitors`	Lists ModelMonitors in a Location.
`SearchModelMonitoringAlerts`	Returns the Model Monitoring alerts.
`SearchModelMonitoringStats`	Searches Model Monitoring Stats generated within a given time window.
`UpdateModelMonitor`	Updates a ModelMonitor.

`google.cloud.aiplatform.v1beta1.ModelService`

Methods
`BatchImportEvaluatedAnnotations`	Imports a list of externally generated EvaluatedAnnotations.
`BatchImportModelEvaluationSlices`	Imports a list of externally generated ModelEvaluationSlice.
`CopyModel`	Copies an already existing Vertex AI Model into the specified Location.
`DeleteModel`	Deletes a Model.
`DeleteModelVersion`	Deletes a Model version.
`ExportModel`	Exports a trained, exportable Model to a location specified by the user.
`GetModel`	Gets a Model.
`GetModelEvaluation`	Gets a ModelEvaluation.
`GetModelEvaluationSlice`	Gets a ModelEvaluationSlice.
`ImportModelEvaluation`	Imports an externally generated ModelEvaluation.
`ListModelEvaluationSlices`	Lists ModelEvaluationSlices in a ModelEvaluation.
`ListModelEvaluations`	Lists ModelEvaluations in a Model.
`ListModelVersionCheckpoints`	Lists checkpoints of the specified model version.
`ListModelVersions`	Lists versions of the specified model.
`ListModels`	Lists Models in a Location.
`MergeVersionAliases`	Merges a set of aliases for a Model version.
`RecommendSpec`	Gets a Model's spec recommendations.
`UpdateExplanationDataset`	Incrementally update the dataset used for an examples model.
`UpdateModel`	Updates a Model.
`UploadModel`	Uploads a Model artifact into Vertex AI.

`google.cloud.aiplatform.v1beta1.NotebookService`

Methods
`AssignNotebookRuntime`	Assigns a NotebookRuntime to a user for a particular Notebook file.
`CreateNotebookExecutionJob`	Creates a NotebookExecutionJob.
`CreateNotebookRuntimeTemplate`	Creates a NotebookRuntimeTemplate.
`DeleteNotebookExecutionJob`	Deletes a NotebookExecutionJob.
`DeleteNotebookRuntime`	Deletes a NotebookRuntime.
`DeleteNotebookRuntimeTemplate`	Deletes a NotebookRuntimeTemplate.
`GetNotebookExecutionJob`	Gets a NotebookExecutionJob.
`GetNotebookRuntime`	Gets a NotebookRuntime.
`GetNotebookRuntimeTemplate`	Gets a NotebookRuntimeTemplate.
`ListNotebookExecutionJobs`	Lists NotebookExecutionJobs in a Location.
`ListNotebookRuntimeTemplates`	Lists NotebookRuntimeTemplates in a Location.
`ListNotebookRuntimes`	Lists NotebookRuntimes in a Location.
`StartNotebookRuntime`	Starts a NotebookRuntime.
`StopNotebookRuntime`	Stops a NotebookRuntime.
`UpdateNotebookRuntimeTemplate`	Updates a NotebookRuntimeTemplate.
`UpgradeNotebookRuntime`	Upgrades a NotebookRuntime.

`google.cloud.aiplatform.v1beta1.PersistentResourceService`

Methods
`CreatePersistentResource`	Creates a PersistentResource.
`DeletePersistentResource`	Deletes a PersistentResource.
`GetPersistentResource`	Gets a PersistentResource.
`ListPersistentResources`	Lists PersistentResources in a Location.
`RebootPersistentResource`	Reboots a PersistentResource.
`UpdatePersistentResource`	Updates a PersistentResource.

`google.cloud.aiplatform.v1beta1.PipelineService`

Methods
`BatchCancelPipelineJobs`	Batch cancel PipelineJobs.
`BatchDeletePipelineJobs`	Batch deletes PipelineJobs The Operation is atomic.
`CancelPipelineJob`	Cancels a PipelineJob.
`CancelTrainingPipeline`	Cancels a TrainingPipeline.
`CreatePipelineJob`	Creates a PipelineJob.
`CreateTrainingPipeline`	Creates a TrainingPipeline.
`DeletePipelineJob`	Deletes a PipelineJob.
`DeleteTrainingPipeline`	Deletes a TrainingPipeline.
`GetPipelineJob`	Gets a PipelineJob.
`GetTrainingPipeline`	Gets a TrainingPipeline.
`ListPipelineJobs`	Lists PipelineJobs in a Location.
`ListTrainingPipelines`	Lists TrainingPipelines in a Location.

`google.cloud.aiplatform.v1beta1.PredictionService`

Methods
`ChatCompletions`	Exposes an OpenAI-compatible endpoint for chat completions.
`CountTokens`	Perform a token counting.
`DirectPredict`	Perform an unary online prediction request to a gRPC model server for Vertex first-party products and frameworks.
`DirectRawPredict`	Perform an unary online prediction request to a gRPC model server for custom containers.
`EmbedContent`	Embed content with multimodal inputs.
`Explain`	Perform an online explanation.
`Predict`	Perform an online prediction.
`RawPredict`	Perform an online prediction with an arbitrary HTTP payload.
`ServerStreamingPredict`	Perform a server-side streaming online prediction request for Vertex LLM streaming.
`StreamDirectPredict`	Perform a streaming online prediction request to a gRPC model server for Vertex first-party products and frameworks.
`StreamDirectRawPredict`	Perform a streaming online prediction request to a gRPC model server for custom containers.
`StreamRawPredict`	Perform a streaming online prediction with an arbitrary HTTP payload.
`StreamingPredict`	Perform a streaming online prediction request for Vertex first-party products and frameworks.
`StreamingRawPredict`	Perform a streaming online prediction request through gRPC.

`google.cloud.aiplatform.v1beta1.ReasoningEngineExecutionService`

Methods
`QueryReasoningEngine`	Queries using a reasoning engine.
`StreamQueryReasoningEngine`	Streams queries using a reasoning engine.

`google.cloud.aiplatform.v1beta1.ReasoningEngineService`

Methods
`CreateReasoningEngine`	Creates a reasoning engine.
`DeleteReasoningEngine`	Deletes a reasoning engine.
`GetReasoningEngine`	Gets a reasoning engine.
`ListReasoningEngines`	Lists reasoning engines in a location.
`UpdateReasoningEngine`	Updates a reasoning engine.

`google.cloud.aiplatform.v1beta1.ScheduleService`

Methods
`CreateSchedule`	Creates a Schedule.
`DeleteSchedule`	Deletes a Schedule.
`GetSchedule`	Gets a Schedule.
`ListSchedules`	Lists Schedules in a Location.
`PauseSchedule`	Pauses a Schedule.
`ResumeSchedule`	Resumes a paused Schedule to start scheduling new runs.
`UpdateSchedule`	Updates an active or paused Schedule.

`google.cloud.aiplatform.v1beta1.SessionService`

Methods
`AppendEvent`	Appends an event to a given session.
`CreateSession`	Creates a new`Session`.
`DeleteSession`	Deletes details of the specific`Session`.
`GetSession`	Gets details of the specific`Session`.
`ListEvents`	Lists`Events` in a given session.
`ListSessions`	Lists`Sessions` in a given reasoning engine.
`UpdateSession`	Updates the specific`Session`.

`google.cloud.aiplatform.v1beta1.SpecialistPoolService`

Methods
`CreateSpecialistPool`	Creates a SpecialistPool.
`DeleteSpecialistPool`	Deletes a SpecialistPool as well as all Specialists in the pool.
`GetSpecialistPool`	Gets a SpecialistPool.
`ListSpecialistPools`	Lists SpecialistPools in a Location.
`UpdateSpecialistPool`	Updates a SpecialistPool.

`google.cloud.aiplatform.v1beta1.TensorboardService`

Methods
`BatchCreateTensorboardRuns`	Batch create TensorboardRuns.
`BatchCreateTensorboardTimeSeries`	Batch create TensorboardTimeSeries that belong to a TensorboardExperiment.
`BatchReadTensorboardTimeSeriesData`	Reads multiple TensorboardTimeSeries' data.
`CreateTensorboard`	Creates a Tensorboard.
`CreateTensorboardExperiment`	Creates a TensorboardExperiment.
`CreateTensorboardRun`	Creates a TensorboardRun.
`CreateTensorboardTimeSeries`	Creates a TensorboardTimeSeries.
`DeleteTensorboard`	Deletes a Tensorboard.
`DeleteTensorboardExperiment`	Deletes a TensorboardExperiment.
`DeleteTensorboardRun`	Deletes a TensorboardRun.
`DeleteTensorboardTimeSeries`	Deletes a TensorboardTimeSeries.
`ExportTensorboardTimeSeriesData`	Exports a TensorboardTimeSeries' data.
`GetTensorboard`	Gets a Tensorboard.
`GetTensorboardExperiment`	Gets a TensorboardExperiment.
`GetTensorboardRun`	Gets a TensorboardRun.
`GetTensorboardTimeSeries`	Gets a TensorboardTimeSeries.
`ListTensorboardExperiments`	Lists TensorboardExperiments in a Location.
`ListTensorboardRuns`	Lists TensorboardRuns in a Location.
`ListTensorboardTimeSeries`	Lists TensorboardTimeSeries in a Location.
`ListTensorboards`	Lists Tensorboards in a Location.
`ReadTensorboardBlobData`	Gets bytes of TensorboardBlobs.
`ReadTensorboardSize`	Returns the storage size for a given TensorBoard instance.
`ReadTensorboardTimeSeriesData`	Reads a TensorboardTimeSeries' data.
`ReadTensorboardUsage`	Returns a list of monthly active users for a given TensorBoard instance.
`UpdateTensorboard`	Updates a Tensorboard.
`UpdateTensorboardExperiment`	Updates a TensorboardExperiment.
`UpdateTensorboardRun`	Updates a TensorboardRun.
`UpdateTensorboardTimeSeries`	Updates a TensorboardTimeSeries.
`WriteTensorboardExperimentData`	Write time series data points of multiple TensorboardTimeSeries in multiple TensorboardRun's.
`WriteTensorboardRunData`	Write time series data points into multiple TensorboardTimeSeries under a TensorboardRun.

`google.cloud.aiplatform.v1beta1.VertexRagDataService`

Methods
`CreateRagCorpus`	Creates a RagCorpus.
`DeleteRagCorpus`	Deletes a RagCorpus.
`DeleteRagFile`	Deletes a RagFile.
`GetRagCorpus`	Gets a RagCorpus.
`GetRagEngineConfig`	Gets a RagEngineConfig.
`GetRagFile`	Gets a RagFile.
`ImportRagFiles`	Import files from Google Cloud Storage or Google Drive into a RagCorpus.
`ListRagCorpora`	Lists RagCorpora in a Location.
`ListRagFiles`	Lists RagFiles in a RagCorpus.
`UpdateRagCorpus`	Updates a RagCorpus.
`UpdateRagEngineConfig`	Updates a RagEngineConfig.

`google.cloud.aiplatform.v1beta1.VertexRagService`

Methods
`AugmentPrompt`	Given an input prompt, it returns augmented prompt from vertex rag store to guide LLM towards generating grounded responses.
`CorroborateContent`	Given an input text, it returns a score that evaluates the factuality of the text.
`RetrieveContexts`	Retrieves relevant contexts for a query.

`google.cloud.aiplatform.v1beta1.VizierService`

Methods
`AddTrialMeasurement`	Adds a measurement of the objective metrics to a Trial.
`CheckTrialEarlyStoppingState`	Checks whether a Trial should stop or not.
`CompleteTrial`	Marks a Trial as complete.
`CreateStudy`	Creates a Study.
`CreateTrial`	Adds a user provided Trial to a Study.
`DeleteStudy`	Deletes a Study.
`DeleteTrial`	Deletes a Trial.
`GetStudy`	Gets a Study by name.
`GetTrial`	Gets a Trial.
`ListOptimalTrials`	Lists the pareto-optimal Trials for multi-objective Study or the optimal Trials for single-objective Study.
`ListStudies`	Lists all the studies in a region for an associated project.
`ListTrials`	Lists the Trials associated with a Study.
`LookupStudy`	Looks a study up using the user-defined display_name field instead of the fully qualified resource name.
`StopTrial`	Stops a Trial.
`SuggestTrials`	Adds one or more Trials to a Study, with parameter values suggested by Vertex AI Vizier.

`google.iam.v1.IAMPolicy`

Methods
`GetIamPolicy`	Gets the access control policy for a resource.
`SetIamPolicy`	Sets the access control policy on the specified resource.
`TestIamPermissions`	Returns permissions that a caller has on the specified resource.

`google.longrunning.Operations`

Methods
`CancelOperation`	Starts asynchronous cancellation on a long-running operation.
`DeleteOperation`	Deletes a long-running operation.
`GetOperation`	Gets the latest state of a long-running operation.
`ListOperations`	Lists operations that match the specified filter in the request.
`WaitOperation`	Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state.

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Last updated 2025-12-17 UTC.

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