Google Cloud Client Libraries for Rust - Vertex AI API

WARNING: this crate is under active development. We expect multiple breaking changes in the upcoming releases. Testing is also incomplete, we do not recommend that you use this crate in production. We welcome feedback about the APIs, documentation, missing features, bugs, etc.

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

Quickstart

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

• 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