3.34.0 (2024-11-21)
3.33.0 (2024-11-14)
3.32.0 (2024-10-30)
- Add code execution tool API (#5761) (f032b83)
- Introduce DefaultRuntime to PipelineJob (#5756) (c4badb0)
3.31.0 (2024-10-10)
3.30.1 (2024-10-10)
3.30.0 (2024-09-24)
- A new field
response_logprbs
is added to message.google.cloud.aiplatform.v1.GenerationConfig
(#5664) (100e106)
3.29.0 (2024-09-10)
- 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)
3.27.0 (2024-08-19)
- A new field
satisfies_pzs
is added to message.google.cloud.aiplatform.v1.BatchPredictionJob
(#5605) (e4574ad)
3.26.0 (2024-08-09)
3.25.0 (2024-07-10)
- 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)
3.23.0 (2024-06-05)
3.22.0 (2024-06-03)
3.21.0 (2024-05-21)
- [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)
- A new field
search_entry_point
is added to message.google.cloud.aiplatform.v1beta1.GroundingMetadata
(#5285) (fe2a4e3)
3.19.1 (2024-04-23)
3.19.0 (2024-04-18)
3.18.0 (2024-04-10)
3.17.0 (2024-03-26)
- Add Optimized feature store proto (#5153) (1f5d99c)
- Evaluation Service aiplatform v1beta1 initial release (#5172) (6827acc)
3.16.0 (2024-03-23)
3.15.0 (2024-03-12)
3.14.0 (2024-02-27)
3.13.0 (2024-02-22)
- Add
point_of_contact
toFeature
message (#5064) (d158bfb) - Add Grounding feature to PredictionService.GenerateContent (#5036) (6b73cce)
3.12.0 (2024-02-09)
3.11.0 (2024-02-07)
3.10.1 (2024-01-23)
3.10.0 (2024-01-05)
3.9.0 (2023-12-11)
3.8.0 (2023-11-30)
3.7.0 (2023-11-16)
3.6.0 (2023-11-09)
3.5.0 (2023-11-03)
- Adding new fields for concurrent explanations (489e188)
3.4.0 (2023-10-24)
3.3.0 (2023-10-18)
3.2.0 (2023-09-11)
3.1.0 (2023-09-06)
3.0.0 (2023-08-06)
- migrate to Node 14 (#4443)
- Add
PredictionService.ServerStreamingPredict
method (#4439) (44d81b3) - Add RaySepc to ResourceRuntimeSpec, and add ResourceRuntime to PersistentResource (#4470) (d58a096)
2.17.0 (2023-07-24)
2.16.0 (2023-06-28)
- Add bias_configs to ModelEvaluation (#4349) (4c047d4)
- Add UpdateExplanationDataset to aiplatform (#4359) (c0a3d8a)
2.15.0 (2023-06-06)
- [ai-platform] update typings for helpers, updated docstrings; removed stale comment (#4312) (b2c4f46)
2.14.0 (2023-05-20)
2.13.0 (2023-05-09)
2.12.0 (2023-05-04)
2.11.0 (2023-05-02)
- 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)
- Add is_default to Tensorboard in aiplatform v1 tensorboard.proto and v1beta1 tensorboard.proto (#4179) (3c46888)
2.9.0 (2023-04-13)
- [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)
- 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)
2.8.0 (2023-03-06)
- Add disable_container_logging to BatchPredictionJob in aiplatform v1,v1beta1 batch_prediction_job.proto (#4052) (735af33)
2.7.0 (2023-02-22)
2.6.1 (2023-02-15)
2.6.0 (2023-02-09)
2.5.0 (2023-01-28)
2.4.0 (2023-01-25)
- 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)
- 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)
- 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)
- 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)
- 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)
- 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)
- update library to use Node 12 (#304)
- 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)
1.19.0 (2022-03-24)
- 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)
- add
service_account
toBatchPredictionJob
in aiplatformv1beta1
batch_prediction_job.proto
(#278) (1f05428)
1.17.0 (2022-03-14)
- 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)
- add TPU_V2 & TPU_V3 values to AcceleratorType in aiplatform v1/v1beta1 accelerator_type.proto (#269) (6e9290f)
1.15.0 (2022-02-08)
- 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)
1.14.0 (2021-12-11)
- 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)
- Adds support for
google.protobuf.Value
pipeline parameters in theparameter_values
field (#218) (d05a598)
1.12.0 (2021-10-27)
- 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)
1.11.0 (2021-09-22)
- 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)
1.10.1 (2021-08-09)
1.10.0 (2021-07-23)
- 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)
1.9.0 (2021-07-15)
1.8.0 (2021-07-14)
1.7.4 (2021-07-12)
1.7.3 (2021-06-29)
- 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)
1.7.1 (2021-06-02)
1.7.0 (2021-05-11)
- 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)
- 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)
- 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)
1.5.0 (2021-02-17)
1.4.0 (2021-02-12)
- 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)
1.3.0 (2021-01-14)
1.2.0 (2021-01-09)
1.1.0 (2021-01-07)
- initial generation of library (#4)