Vertex AI: Node.js Client

Vertex AI client for Node.js

A comprehensive list of changes in each version may be found in the CHANGELOG.

• [Vertex AI Node.js Client API Reference][client-docs]
• [Vertex AI Documentation][product-docs]
• github.com/googleapis/google-cloud-node/packages/google-cloud-aiplatform

Read more about the client libraries for Cloud APIs, including the older Google APIs Client Libraries, in Client Libraries Explained.

Table of contents:

• Quickstart
  • Before you begin
  • Installing the client library
  • Using the client library
• Samples
• Versioning
• Contributing
• License

Quickstart

Before you begin

1. [Select or create a Cloud Platform project][projects].
2. [Enable billing for your project][billing].
3. [Enable the Vertex AI API][enable_api].
4. [Set up authentication][auth] so you can access the API from your local workstation.

Installing the client library

npm install @google-cloud/aiplatform

Using the client library

/**
 * TODO(developer): Uncomment these variables before running the sample.
 */
// const projectId = 'YOUR_PROJECT_ID';
// const location = 'YOUR_PROJECT_LOCATION';

const {EndpointServiceClient} = require('@google-cloud/aiplatform');

// Specifies the location of the api endpoint
const clientOptions = {
  apiEndpoint: 'us-central1-aiplatform.googleapis.com',
};
const client = new EndpointServiceClient(clientOptions);

async function listEndpoints() {
  // Configure the parent resource
  const parent = `projects/${projectId}/locations/${location}`;
  const request = {
    parent,
  };

  // Get and print out a list of all the endpoints for this resource
  const [result] = await client.listEndpoints(request);
  for (const endpoint of result) {
    console.log(`\nEndpoint name: ${endpoint.name}`);
    console.log(`Display name: ${endpoint.displayName}`);
    if (endpoint.deployedModels[0]) {
      console.log(
        `First deployed model: ${endpoint.deployedModels[0].model}`
      );
    }
  }
}
listEndpoints();

Samples

Samples are in the samples/ directory. Each sample's README.md has instructions for running its sample.

Changelog

4.2.0 (2025-05-09)

Features

• Multiple ai-platform updates (0b8b1a7)

4.1.0 (2025-03-19)

Features

• [Many APIs] await/catch promises, and update listOperationsAsync return type (#6182) (c41ff07)

4.0.0 (2025-03-18)

⚠ BREAKING CHANGES

• upgrade to Node 18 (#6096)

Miscellaneous Chores

• Upgrade to Node 18 (#6096) (eadae64)

3.35.0 (2025-02-28)

Features

• A new field create_time is added to message .google.cloud.aiplatform.v1.GenerateContentResponse (fdef07b)
• A new field create_time is added to message .google.cloud.aiplatform.v1.GenerateContentResponse (fdef07b)
• A new field list_all_versions to ListPublisherModelsRequest (fdef07b)
• A new field response_id is added to message .google.cloud.aiplatform.v1.GenerateContentResponse (fdef07b)
• A new value NVIDIA_H100_MEGA_80GB is added to enum AcceleratorType (fdef07b)
• A new value NVIDIA_H100_MEGA_80GB is added to enum AcceleratorType (fdef07b)
• Add a new thought field in content proto (fdef07b)
• Add additional Probe options to v1 model.proto (fdef07b)
• Add Context Cache to v1 (fdef07b)
• Add GenerationConfig.MediaResolution (fdef07b)
• Add GenerationConfig.Modality (fdef07b)
• Add GenerationConfig.SpeechConfig (fdef07b)
• Add LLM parser proto to API (fdef07b)
• Add machine_spec, data_persistent_disk_spec, network_spec, euc_config, shielded_vm_config to .google.cloud.aiplatform.v1beta1.NotebookRuntime (fdef07b)
• Add machine_spec, data_persistent_disk_spec, network_spec, euc_config, shielded_vm_config to message .google.cloud.aiplatform.v1.NotebookRuntime (fdef07b)
• Add Model Garden deploy API (fdef07b)
• Add Model Garden deploy API (#5836) (fdef07b)
• Add new RequiredReplicaCount field to DedicatedResources in MachineResources (fdef07b)
• Add new RequiredReplicaCount field to DedicatedResources in MachineResources (fdef07b)
• Add new Status field to DeployedModel in Endpoint (fdef07b)
• Add new Status field to DeployedModel in Endpoint (fdef07b)
• Add Notebooks Runtime Software Configuration (fdef07b)
• Add Notebooks Runtime Software Configuration (fdef07b)
• Add optimized config in v1 API (fdef07b)
• Add per-modality token count break downs for GenAI APIs (fdef07b)
• Add per-modality token count break downs for GenAI APIs (fdef07b)
• Add rag_files_count to RagCorpus to count number of associated files (fdef07b)
• Add retrieval_config to ToolConfig v1 (fdef07b)
• Add retrieval_config to ToolConfig v1beta1 (fdef07b)
• Add RolloutOptions to DeployedModel in v1beta1 endpoint.proto, add additional Probe options in v1beta1 model.proto (fdef07b)
• Add speculative decoding spec to DeployedModel proto (fdef07b)
• Add Tool.GoogleSearch (fdef07b)
• Add Vertex RAG service proto to v1 (fdef07b)
• Add workbench_runtime and kernel_name to NotebookExecutionJob (fdef07b)
• Add workbench_runtime and kernel_name to NotebookExecutionJob (fdef07b)
• Enable FeatureGroup IAM Methods in v1beta1 API version (fdef07b)
• Enable FeatureGroup Service Account and IAM methods (fdef07b)
• Enable FeatureView Service Account in v1 API version (fdef07b)
• Enable UpdateFeatureMonitor in v1beta1 API version (fdef07b)
• EvaluateDataset API v1beta1 initial release (fdef07b)
• Expose code execution tool API to v1 (fdef07b)
• Introduce HybridSearch and Ranking configuration for RAG (fdef07b)
• Introduce VertexAiSearch integration for RAG (fdef07b)
• Model Registry Checkpoint API (fdef07b)
• Model Registry Checkpoint API (fdef07b)
• Paging changes for bigquery (fdef07b)
• Reasoning Engine v1 GAPIC release (fdef07b)
• Remove autorater config related visibility v1beta1 (fdef07b)
• Support streaming and multi class methods in Reasoning Engine v1beta1 API (fdef07b)

Bug Fixes

• Add x-goog-request params to headers for LRO-polling methods (fdef07b)
• Finalize fixing typings for headers in generator (fdef07b)
• Fix typings for headers in generator (fdef07b)
• Remove extra protos in ESM & capture ESM in headers (fdef07b)

3.34.0 (2024-11-21)

Features

• Add a v1 UpdateEndpointLongRunning API (#5812) (39dc74e)

3.33.0 (2024-11-14)

Features

• Add fast_tryout_enabled to FasterDeploymentConfig v1 proto (#5781) (3cc221d)

3.32.0 (2024-10-30)

Features

• Add code execution tool API (#5761) (f032b83)
• Introduce DefaultRuntime to PipelineJob (#5756) (c4badb0)

3.31.0 (2024-10-10)

Features

• Add partner_model_tuning_spec to TuningJob (#5721) (cec22ab)

3.30.1 (2024-10-10)

Bug Fixes

• Annotate PipelineJob and PipelineTaskRerunConfig fields as optional (#5698) (183c038)

3.30.0 (2024-09-24)

Features

• A new field response_logprbs is added to message .google.cloud.aiplatform.v1.GenerationConfig (#5664) (100e106)

3.29.0 (2024-09-10)

Features

• Add more configurability to feature_group.proto (#5656) (9760c20)
• Add Vector DB config for Vertex RAG (Weaviate + FeatureStore) (#5648) (d62f18a)

3.28.0 (2024-08-29)

Features

• Add max_wait_duration to Scheduling (#5642) (39e65cb)

3.27.0 (2024-08-19)

Features

• A new field satisfies_pzs is added to message .google.cloud.aiplatform.v1.BatchPredictionJob (#5605) (e4574ad)

3.26.0 (2024-08-09)

Features

• A new field score is added to message .google.cloud.aiplatform.v1.Candidate (#5577) (1abd9a7)

3.25.0 (2024-07-10)

Features

• Add model and contents fields to ComputeTokensRequest v1 (#5517) (8983209)
• Enable rest_numeric_enums for aiplatform v1 and v1beta1 (#5531) (2359c34)

3.24.0 (2024-06-26)

Features

• Add MALFORMED_FUNCTION_CALL to FinishReason (#5481) (83498e9)

3.23.0 (2024-06-05)

Features

• Add rag_embedding_model_config to RagCorpus (#5430) (a1aba11)

3.22.0 (2024-06-03)

Features

• Add ValueType.STRUCT to Feature (#5381) (6d60ea8)

3.21.0 (2024-05-21)

Features

• [Many APIs] update Nodejs generator to send API versions in headers for GAPICs (#5351) (01f48fc)
• [Many APIs] update Nodejs generator to send API versions in headers for GAPICs (#5354) (a9784ed)
• Update Nodejs generator to send API versions in headers for GAPICs (#5343) (d129760)

3.20.0 (2024-05-02)

Features

• A new field search_entry_point is added to message .google.cloud.aiplatform.v1beta1.GroundingMetadata (#5285) (fe2a4e3)

3.19.1 (2024-04-23)

Bug Fixes

• Delete the deprecated field for model monitor (#5274) (ae521e6)

3.19.0 (2024-04-18)

Features

• Add model_monitor resource and APIs to public v1beta1 client library (#5234) (cecd67c)

3.18.0 (2024-04-10)

Features

• Add Persistent Resource reboot api call to v1beta1 (#5182) (c271d54)

3.17.0 (2024-03-26)

Features

• Add Optimized feature store proto (#5153) (1f5d99c)
• Evaluation Service aiplatform v1beta1 initial release (#5172) (6827acc)

3.16.0 (2024-03-23)

Features

• Add v1beta1 StreamingFetchFeatureValues API (#5128) (4849a58)

3.15.0 (2024-03-12)

Features

• A new value NVIDIA_H100_80GB is added to enum AcceleratorType (#5114) (729d778)

3.14.0 (2024-02-27)

Features

• Add CompositeKey message and composite_key field to FeatureViewDataKey (#5072) (b643f04)

3.13.0 (2024-02-22)

Features

• Add point_of_contact to Feature message (#5064) (d158bfb)
• Add Grounding feature to PredictionService.GenerateContent (#5036) (6b73cce)

3.12.0 (2024-02-09)

Features

• Trusted Private Cloud support, use the universeDomain parameter (#5021) (ca9af37)

3.11.0 (2024-02-07)

Features

• Add generateContent Unary API for aiplatform_v1 (#5003) (8722b31)

3.10.1 (2024-01-23)

Bug Fixes

• Improve retry logic for streaming API calls (#4942) (0bca99d)

3.10.0 (2024-01-05)

Features

• Add Content (#4880) (d74d48d)

3.9.0 (2023-12-11)

Features

• Add data_stats to Model (#4866) (e7614ad)

3.8.0 (2023-11-30)

Features

• Add grpc_ports to UploadModel ModelContainerSpec (#4836) (736ff8b)

3.7.0 (2023-11-16)

Features

• [aiplatform] add protected_artifact_location_id to CustomJob (#4809) (9da9501)

3.6.0 (2023-11-09)

Features

• Add Optimized to FeatureOnlineStore (#4790) (61cb5c9)

3.5.0 (2023-11-03)

Features

• Adding new fields for concurrent explanations (489e188)

Bug Fixes

• aiplatform/v1beta1: Change CreateFeature metadata (#4782) (489e188)

3.4.0 (2023-10-24)

Features

• Add DatasetVersion and dataset version RPCs to DatasetService (#4726) (a515212)

3.3.0 (2023-10-18)

Features

• Add dedicated_serving_endpoint (#4722) (b01c920)
• Add feature.proto (#4713) (0490f66)

3.2.0 (2023-09-11)

Features

• Add encryption_spec to index.proto and index_endpoint.proto (#4596) (32d823a)

3.1.0 (2023-09-06)

Features

• Add NVIDIA_H100_80GB and TPU_V5_LITEPOD to AcceleratorType (#4557) (7253ef1)

Bug Fixes

• [Many APIs] simplify logic for HTTP/1.1 REST fallback option (#4583) (c3ddba8)

3.0.0 (2023-08-06)

⚠ BREAKING CHANGES

• migrate to Node 14 (#4443)

Features

• Add PredictionService.ServerStreamingPredict method (#4439) (44d81b3)
• Add RaySepc to ResourceRuntimeSpec, and add ResourceRuntime to PersistentResource (#4470) (d58a096)

Miscellaneous Chores

• Migrate to Node 14 (#4443) (2260f12)

2.17.0 (2023-07-24)

Features

• Add data_item_count to Dataset (#4411) (3f99064)

2.16.0 (2023-06-28)

Features

• Add bias_configs to ModelEvaluation (#4349) (4c047d4)
• Add UpdateExplanationDataset to aiplatform (#4359) (c0a3d8a)

2.15.0 (2023-06-06)

Features

• [ai-platform] add blocking_operation_ids to ImportFeatureValuesOperationMetadata (#4284) (99736a9)

Bug Fixes

• [ai-platform] update typings for helpers, updated docstrings; removed stale comment (#4312) (b2c4f46)

2.14.0 (2023-05-20)

Features

• Add updateSchedule method to ScheduleService (#4280) (d1e67be)

2.13.0 (2023-05-09)

Features

• Add example_gcs_source to Examples in aiplatform v1beta1 explanation.proto (#4249) (4af8ae2)

2.12.0 (2023-05-04)

Features

• Add model_garden_service.proto and publisher_model.proto to BUILD.bazel (#4225) (5367d25)

2.11.0 (2023-05-02)

Features

• Add experiment and experiment_run to CustomJobSpec (20eafa1)
• Add GENIE to ModelSourceType (20eafa1)
• Add MutateDeployedModel RPC to endpoint_service (20eafa1)
• Add NVIDIA_L4 to AcceleratorType (20eafa1)
• Add NVIDIA_L4 to AcceleratorType (#4216) (20eafa1)
• Add offline_storage_ttl_days to EntityType (20eafa1)
• Add online_storage_ttl_days to FeatureStore (20eafa1)

2.10.0 (2023-04-24)

Features

• Add is_default to Tensorboard in aiplatform v1 tensorboard.proto and v1beta1 tensorboard.proto (#4179) (3c46888)

2.9.0 (2023-04-13)

Features

• [ai-platform] add public_endpoint_enabled and publid_endpoint_domain_name to IndexEndpoint (#4136) (94ea195)
• Add notification_channels in aiplatform v1beta1 model_monitoring.proto (#4160) (c56a74d)

Bug Fixes

• deps: Bump google-gax to ^3.5.8 (#4117) (0b67d88)
• Minify JSON and JS files, and remove .map files (#4143) (170f7d5)

2.8.1 (2023-03-28)

Bug Fixes

• Remove large_model_reference from Model in aiplatform v1beta1 model.proto (#4098) (3c1a0ee)

2.8.0 (2023-03-06)

Features

• Add disable_container_logging to BatchPredictionJob in aiplatform v1,v1beta1 batch_prediction_job.proto (#4052) (735af33)

2.7.0 (2023-02-22)

Features

• Add match service in aiplatform v1beta1 match_service.proto (#4002) (e2944f5)

2.6.1 (2023-02-15)

Bug Fixes

• [Many APIs] changing format of the jsdoc links (#3985) (fb2a6fd)

2.6.0 (2023-02-09)

Features

• [ai-platform] add service_networking.proto to aiplatform v1 (#3937) (fcaacbc)

2.5.0 (2023-01-28)

Features

• Add enable_dashboard_access in aiplatform v1 and v1beta1 (#460) (58d9da5)

Bug Fixes

• Removing migrated samples (to nodejs-docs-samples) from repo (#555) (c97bb20)

2.4.0 (2023-01-25)

Features

• Add enable_dashboard_access in aiplatform v1 and v1beta1 (#460) (685cfed)

Bug Fixes

• deps: Use google-gax v3.5.2 (#458) (9345b15)
• Removing migrated samples (to nodejs-docs-samples) from repo (#555) (0864901)

2.3.0 (2022-09-21)

Features

• Add deleteFeatureValues in aiplatform v1beta1 featurestore_service.proto (#371) (e1c5cd6)
• Add timestamp_outside_retention_rows_count, RemoveContextChildren, order_by, InputArtifact, read_mask, TransferLearningConfig (#450) (3a3f71f)

Bug Fixes

• Allow passing gax instance to client constructor (#365) (6200e38)
• Preserve default values in x-goog-request-params header (#370) (6860cfd)

2.2.0 (2022-08-27)

Features

• add a DeploymentResourcePool API resource_definition (fa3c209)
• add DeploymentResourcePool in aiplatform v1beta1 deployment_resource_pool.proto (fa3c209)
• add DeploymentResourcePoolService in aiplatform v1beta1 deployment_resource_pool_service.proto (fa3c209)
• add shared_resources for supported prediction_resources (fa3c209)
• add SHARED_RESOURCES to DeploymentResourcesType in aiplatform v1beta1 model.proto (fa3c209)
• add WriteFeatureValues in aiplatform v1beta1 featurestore_online_service.proto (fa3c209)
• added SHARED_RESOURCES enum to aiplatform v1 model.proto (fa3c209)
• DeploymentResourcePool and DeployementResourcePoolService added to aiplatform v1beta1 model.proto (cl/463147866) (fa3c209)
• making network arg optional in aiplatform v1 custom_job.proto (fa3c209)
• making network arg optional in aiplatform v1beta1 custom_job.proto (fa3c209)
• samples: add entity type apis samples (#339) (5bb18f3)
• samples: add feature apis samples (#340) (90dcec7)
• samples: add feature values apis samples (#341) (4cef015)
• samples: add remaining featurestore api samples (#338) (f136458)

Bug Fixes

• better support for fallback mode (#362) (3786e75)
• change import long to require (#363) (b26381c)
• do not import the whole google-gax from proto JS (#1553) (#366) (1ccaa8d)
• remove pip install statements (#1546) (#364) (275a048)
• use google-gax v3.3.0 (1ccaa8d)

2.1.0 (2022-07-04)

Features

• add BatchImportModelEvaluationSlices API in aiplatform v1 model_service.proto (0a7e609)
• add ListSavedQueries rpc to aiplatform v1 dataset_service.proto (0a7e609)
• add ListSavedQueries rpc to aiplatform v1beta1 dataset_service.proto (0a7e609)
• add monitor_window to ModelDeploymentMonitoringScheduleConfig proto in aiplatform v1/v1beta1 model_deployment_monitoring_job.proto (0a7e609)
• add saved_query_id to InputDataConfig in aiplatform v1 training_pipeline.proto (0a7e609)
• add saved_query_id to InputDataConfig in aiplatform v1beta1 training_pipeline.proto (0a7e609)
• add saved_query.proto to aiplatform v1 (0a7e609)
• add saved_query.proto to aiplatform v1beta1 (0a7e609)

2.0.0 (2022-06-23)

⚠ BREAKING CHANGES

• update library to use Node 12 (#304)

Features

• add ConvexAutomatedStoppingSpec to StudySpec in aiplatform v1beta1 study.proto (863748a)
• add display_name and metadata to ModelEvaluation in aiplatform model_evaluation.proto (#297) (1e6dcb6)
• add Examples to Explanation related messages in aiplatform v1beta1 explanation.proto (#307) (c69ac2b)
• add IAM policy to aiplatform_v1beta1.yaml (#308) (6557767)
• add JOB_STATE_UPDATING to JobState in aiplatform v1beta1 job_state.proto (863748a)
• add LatestMonitoringPipelineMetadata to ModelDeploymentMonitoringJob in aiplatform v1beta1 model_deployment_monitoring_job.proto (863748a)
• add ListModelVersion, DeleteModelVersion, and MergeVersionAliases rpcs to aiplatform v1beta1 model_service.proto (863748a)
• add MfsMount in aiplatform v1beta1 machine_resources.proto (863748a)
• add model_id and parent_model to TrainingPipeline in aiplatform v1beta1 training_pipeline.proto (863748a)
• add model_version_id to DeployedModel in aiplatform v1beta1 endpoint.proto (863748a)
• add model_version_id to PredictResponse in aiplatform v1beta1 prediction_service.proto (863748a)
• add model_version_id to UploadModelRequest and UploadModelResponse in aiplatform v1beta1 model_service.proto (863748a)
• add nfs_mounts to WorkPoolSpec in aiplatform v1beta1 custom_job.proto (863748a)
• add PredictRequestResponseLoggingConfig to aiplatform v1beta1 endpoint.proto (863748a)
• add reserved_ip_ranges to CustomJobSpec in aiplatform v1 custom_job.proto (#286) (863748a)
• add reserved_ip_ranges to CustomJobSpec in aiplatform v1beta1 custom_job.proto (863748a)
• add version_id to Model in aiplatform v1beta1 model.proto (863748a)
• rename Similarity to Examples, and similarity to examples in ExplanationParameters in aiplatform v1beta1 explanation.proto (863748a)
• samples: add create-featurestore samples (#317) (5876d81)

Bug Fixes

• added retries to flaky test (#299) (ffc9a3f)

Build System

• update library to use Node 12 (#304) (0679cda)

1.19.0 (2022-03-24)

Features

• add data_item_schema_uri, annotation_schema_uri, explanation_specs to ModelEvaluationExplanationSpec in aiplatform v1 model_evaluation.proto (b769264)
• add ImportModelEvaluation in aiplatform v1 model_service.proto (#280) (b769264)
• add ImportModelEvaluation in aiplatform v1beta1 model_service.proto (b769264)

1.18.0 (2022-03-17)

Features

• add service_account to BatchPredictionJob in aiplatform v1beta1 batch_prediction_job.proto (#278) (1f05428)

1.17.0 (2022-03-14)

Features

• add monitoring_config to EntityType in aiplatform v1 entity_type.proto (#277) (d9b8b06)
• add PredictRequestResponseLoggingConfig to Endpoint in aiplatform v1 endpoint.proto (#275) (3e5dc67)

1.16.0 (2022-02-22)

Features

• add TPU_V2 & TPU_V3 values to AcceleratorType in aiplatform v1/v1beta1 accelerator_type.proto (#269) (6e9290f)

1.15.0 (2022-02-08)

Features

• add dedicated_resources to DeployedIndex in aiplatform v1beta1 index_endpoint.proto feat: add Scaling to OnlineServingConfig in aiplatform v1beta1 featurestore.proto chore: sort imports (#262) (f3e31ec)
• add dedicated_resources to DeployedIndex message in aiplatform v1 index_endpoint.proto chore: sort imports (#261) (8f7e61e)

1.14.1 (2022-01-13)

Bug Fixes

• remove duplicate sample (#243) (827edd9)

1.14.0 (2021-12-11)

Features

• add enable_private_service_connect field to Endpoint (#238) (bac788d)
• add enable_private_service_connect field to Endpoint (#239) (e9cbc46)
• add endpoint_id to CreateEndpointRequest and method signature to CreateEndpoint (e9cbc46)
• add id field to DeployedModel (e9cbc46)
• add method signature to CreateFeatureStore, CreateEntityType, CreateFeature (e9cbc46)
• add network and enable_private_service_connect to IndexEndpoint (e9cbc46)
• add service_attachment field to PrivateEndpoints (e9cbc46)
• add service_attachment to IndexPrivateEndpoints (e9cbc46)
• add stratified_split field to training_pipeline InputDataConfig (e9cbc46)
• Exposing a field for v1 CustomJob-Tensorboard integration. (03881ff)
• Tensorboard v1 protos release (#234) (03881ff)

1.13.0 (2021-11-11)

Features

• Adds support for google.protobuf.Value pipeline parameters in the parameter_values field (#218) (d05a598)

1.12.0 (2021-10-27)

Features

• add featurestore service to aiplatform v1 feat: add metadata service to aiplatform v1 (#211) (b8a92f2)
• add Similarity to explanation in aiplatform v1beta1 feat: add EncryptionSpec to featurestore in aiplatform v1beta1 feat: add PipelineTaskStatus to pipeline_job in aiplatform v1beta1 feat: add BatchReadTensorboardTimeSeriesData to tensorboard_serv... (#210) (ae37fb8)
• add vizier service to aiplatform v1 (#205) (4d37e14)

Bug Fixes

• Remove invalid resource annotations (#213) (2f32395)

1.11.0 (2021-09-22)

Features

• add deployment_group to DeployedIndex in aiplatform_v1beta1 (35b45f1)
• add model_deployment_monitoring_job to Endpoint in aiplatform_v1beta1 (35b45f1)
• add ModelEvaluationExplanationSpec in aiplatform_v1beta1 (35b45f1)
• add prediction service RPC RawPredict to aiplatform_v1beta1 feat: add tensorboard service RPCs to aiplatform_v1beta1: BatchCreateTensorboardRuns, BatchCreateTensorboardTimeSeries, WriteTensorboardExperimentData feat: add model_deployment_monitori... (#196) (35b45f1)
• add tensorboard service RPCs to aiplatform_v1beta1: BatchCreateTensorboardRuns, BatchCreateTensorboardTimeSeries, WriteTensorboardExperimentData (35b45f1)
• add Vizier service to aiplatform v1 (#197) (7da1062)
• turns on self-signed JWT feature flag (#191) (7e9b76f)

Bug Fixes

• deps: require google-gax v2.24.1 (#190) (ce5177f)
• promote library to GA (#201) (7a9bb5e)

1.10.1 (2021-08-09)

Bug Fixes

• build: migrate to using main branch (#184) (5d835fb)

1.10.0 (2021-07-23)

Features

• Adds BigQuery output table field to batch prediction job output config (22f1f67)
• Adds CustomJob.web_access_uris, CustomJob.enable_web_access fields (22f1f67)
• Adds Endpoint.network, Endpoint.private_endpoints fields and PrivateEndpoints message (22f1f67)
• Adds Execution.State constants: CACHED and CANCELLED (22f1f67)
• Adds Feature Store features (22f1f67)
• Adds fields to Study message (22f1f67)
• Adds IndexEndpoint.private_ip_ranges field (22f1f67)
• Adds IndexEndpointService.deployed_index_id field (22f1f67)
• Adds MetadataService.DeleteArtifact and DeleteExecution methods (22f1f67)
• Adds ModelMonitoringObjectConfig.explanation_config field and ModelMonitoringObjectConfig.ExplanationConfig message (22f1f67)
• Adds ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.attribution_score_skew_thresholds and ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.attribution_score_drift_threshold fields (22f1f67)
• Removes breaking change from v1 version of AI Platform protos (22f1f67)

1.9.1 (2021-07-21)

Bug Fixes

• Updating WORKSPACE files to use the newest version of the Typescript generator. (#172) (d22eceb)

1.9.0 (2021-07-15)

Features

• Adds additional_experiments field to AutoMlTablesInputs (#170) (4a0a502)

1.8.0 (2021-07-14)

Features

• Removes AcceleratorType.TPU_V2 and TPU_V3 constants (#167) (72d153e)

1.7.4 (2021-07-12)

Bug Fixes

• deps: google-gax v2.17.1 (#164) (1ec11fc)

1.7.3 (2021-06-29)

Bug Fixes

• add C#, PHP and Ruby options for all AI Platform protos (#158) (da0babf)
• deps: google-gax v2.17.0 with mTLS (#161) (8e7d46f)

1.7.2 (2021-06-22)

Bug Fixes

• make request optional in all cases (#152) (96b9fba)

1.7.1 (2021-06-02)

Bug Fixes

• GoogleAdsError missing using generator version after 1.3.0 (#141) (743c71b)

1.7.0 (2021-05-11)

⚠ BREAKING CHANGES

• BREAKING_CHANGE: remove display_name from FeatureStore feat: add invalid_row_count to ImportFeatureValuesResponse and ImportFeatureValuesOperationMetadata (#124)
• BREAKING CHANGE: remove unsupported accelerator types feat: add aiplatform API Vizier service (#92)

Features

• add featurestore, index, metadata, monitoring, pipeline, and tensorboard services to aiplatform v1beta1. (#118) (c3ce821)
• BREAKING CHANGE: remove unsupported accelerator types feat: add aiplatform API Vizier service (#92) (23f184d)

Bug Fixes

• BREAKING_CHANGE: remove display_name from FeatureStore feat: add invalid_row_count to ImportFeatureValuesResponse and ImportFeatureValuesOperationMetadata (#124) (34b8548)
• deps: require google-gax v2.12.0 (#120) (2b58ecb)
• use require() to load JSON protos (#122) (3f26575)

1.6.0 (2021-03-11)

Features

• removes forecasting (time_series_forecasting.proto) from public v1beta1 protos (#86) (ccc1953)

Bug Fixes

• adds index.ts to excludes (#81) (d8c6bbb)

1.5.0 (2021-02-17)

Features

• ImageSegmentationPredictionResult.category_mask field changed to string data type (#76) (ec47129)

1.4.0 (2021-02-12)

Features

• add encryption_spec to aiplatform v1beta1 (#63) (c3256aa)
• adds v1 version of library (#70) (5a1b765)
• samples: add additional samples to library (#25) (5a7f5db)
• updates enhanced client library veneer and samples (#73) (59e293f)

Bug Fixes

• reduces image object detection test file size (#69) (fb4308c)

1.3.0 (2021-01-14)

Features

• samples: adds samples for enhanced version of library (#16) (aef443c)

1.2.0 (2021-01-09)

Features

• adds cleaner utility for orphaned resources (#34) (7c09258)
• adds style enumeration (#37) (81c1515)

1.1.0 (2021-01-07)

Features

• adds enhancements to library (#22) (b697a38)

1.0.0 (2020-11-10)

⚠ BREAKING CHANGES

• initial generation of library (#4)

Features

• initial generation (182128b)
• initial generation of library (#4) (1b8db30)