Google Cloud Client Libraries for Rust - Vertex AI API

WARNING: some RPCs have no corresponding Rust function to call them. Typically these are streaming RPCs. We expect adding these RPCs in a way that does not break the existing APIs or changes their behavior in a significant way. We do anticipate a number of new crate dependencies will be required. If you need these RPCs please open an issue in our GitHub repository.

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

The client library types and functions are stable and not expected to change. Please note that Google Cloud services do change from time to time. The client libraries are designed to preserve backwards compatibility when the service changes in compatible ways. For example, adding RPCs, or fields to messages should not introduce breaking changes to the client libraries.

Quickstart

The main types to work with this crate are the clients:

• DataFoundryService: enabled by the data-foundry-service feature.
• DatasetService: enabled by the dataset-service feature.
• DeploymentResourcePoolService: enabled by the deployment-resource-pool-service feature.
• EndpointService: enabled by the endpoint-service feature.
• EvaluationService: enabled by the evaluation-service feature.
• FeatureOnlineStoreAdminService: enabled by the feature-online-store-admin-service feature.
• FeatureOnlineStoreService: enabled by the feature-online-store-service feature.
• FeatureRegistryService: enabled by the feature-registry-service feature.
• FeaturestoreOnlineServingService: enabled by the featurestore-online-serving-service feature.
• FeaturestoreService: enabled by the featurestore-service feature.
• GenAiCacheService: enabled by the gen-ai-cache-service feature.
• GenAiTuningService: enabled by the gen-ai-tuning-service feature.
• IndexEndpointService: enabled by the index-endpoint-service feature.
• IndexService: enabled by the index-service feature.
• JobService: enabled by the job-service feature.
• LlmUtilityService: enabled by the llm-utility-service feature.
• MatchService: enabled by the match-service feature.
• MetadataService: enabled by the metadata-service feature.
• MigrationService: enabled by the migration-service feature.
• ModelGardenService: enabled by the model-garden-service feature.
• ModelService: enabled by the model-service feature.
• NotebookService: enabled by the notebook-service feature.
• PersistentResourceService: enabled by the persistent-resource-service feature.
• PipelineService: enabled by the pipeline-service feature.
• PredictionService: enabled by the prediction-service feature.
• ReasoningEngineExecutionService: enabled by the reasoning-engine-execution-service feature.
• ReasoningEngineService: enabled by the reasoning-engine-service feature.
• ScheduleService: enabled by the schedule-service feature.
• SpecialistPoolService: enabled by the specialist-pool-service feature.
• TensorboardService: enabled by the tensorboard-service feature.
• VertexRagDataService: enabled by the vertex-rag-data-service feature.
• VertexRagService: enabled by the vertex-rag-service feature.
• VizierService: enabled by the vizier-service feature.

More Information

• Read the crate's documentation