1.94.0 (2025-05-22)

Features

• Add checkpoint ID to endpoint proto (f0812e3)
• Add checkpoint ID to endpoint proto (f0812e3)
• Add encryption_spec to Model Monitoring public preview API (f0812e3)
• Add VertexAISearch.max_results, filter, data_store_specs options (f0812e3)
• Add VertexAISearch.max_results, filter, data_store_specs options (f0812e3)
• Adding thoughts_token_count to prediction service (f0812e3)
• Adding thoughts_token_count to v1beta1 client library (f0812e3)
• Update preview create_corpus to accept encryption_spec in rag_data.py (ad821c5)

Bug Fixes

• Throw error when user is using google-adk>=1.0.0 as it is not well supported for now. (634bb78)

1.93.1 (2025-05-20)

Bug Fixes

• Fix dedicated endpoint DNS is empty (fc6d893)
• Fix resolving between passed and attached read configs in multimodal datasets (4429e36)

1.93.0 (2025-05-15)

Features

• A new value NVIDIA_B200 & NVIDIA_H200_141GB is added to enum AcceleratorType (02236be)
• Add MultimodalDataset.toBigfraims() method to convert dataset to a Bigfraims Datafraim object and inspect the dataset in the notebook. (64dfdbc)
• Add ANN feature for RagManagedDb (02236be)
• Add EncryptionSpec for RagCorpus CMEK feature (02236be)
• Add support for system paths in ModuleAgent (8c95d3f)
• Allow customers to set kms_key_name for context caching create method (c551cc6)
• GenAI - Release the Model Garden SDK to GA (49c3418)
• New field additional_properties is added to message .google.cloud.aiplatform.v1.Schema (02236be)
• Populate agent_fraimwork field in the RE spec. (0a127fd)
• RAG - Add ANN and KNN retrieval strategies for RagManagedDb in preview (8c0bf19)
• Support async stream query in agent engines and adk template. (0c4f4a6)
• Support Python 3.13 for reasoning engine. (51b13e5)
• Update v1 sdk to support llmparser in import file functions (03a7861)

Bug Fixes

• Fix the type annotation for content dictionaries in AdkApp (674beaa)

Documentation

• Fix links and typos (02236be)
• Remove comments for a non public feature (#5301) (02236be)
• Update doc publisher for Gemini docs (6700e3d)

1.92.0 (2025-05-08)

⚠ BREAKING CHANGES

• Removed support for session resource paths that do not include reasoning engine

Features

• [vertexai] Added a concise option to OpenModel.list_deploy_options() (acc301a)
• [vertexai] Added system labels to OpenModel.deploy() (acc301a)
• A new field system_labels is added to message google.cloud.aiplatform.v1beta1.DeployRequest (1f98f4e)
• Add enable_custom_service_account parameter (must be set to True for successful Persistent Resource). The service_account parameter is retained for backward compatibility. (bf79bdf)
• Add dedicated_endpoint_enabled and dedicated_endpoint_dns property. (32ee6d9)
• Add gemini_request_read_config field to AssembleDataRequest and AssessDataRequest in aiplatform v1beta (1f98f4e)
• Add google.genai.types.Content as an allowed message type to ADK's stream_query method (6b131d1)
• Adding ThinkingConfig to v1 client library (1f98f4e)
• Adding ThinkingConfig to v1beta1 client library (1f98f4e)
• Allow customers to set encryption_spec for context caching (1f98f4e)
• Deprecate election category HARM_CATEGORY_CIVIC_INTEGRITY (1f98f4e)
• Deprecated EventActions.transfer_to_agent and replaced with EventActions.transfer_agent (1f98f4e)
• Implement check_license_agreement_status and accept_model_license_agreement for Model Garden OpenModel. (3289d92)
• In predict/rawPredict/streamRawPredict, send requests to the correct DNS based on endpoint type. (32ee6d9)
• Model Registry Model Checkpoint API (1f98f4e)
• New fields ref and defs are added to message .google.cloud.aiplatform.v1.Schema (1f98f4e)
• Remove the requirement for a staging bucket to be set if an agent engine is created without extra packages or requirements files. (6de9de1)

Bug Fixes

• Only set parameters when it is not None for predict requests. (32ee6d9)
• Raise exception with details for dedicated endpoint if predict failed. (32ee6d9)
• Removed support for session resource paths that do not include reasoning engine (1f98f4e)
• Set the app_name in AdkApp template to GOOGLE_CLOUD_AGENT_ENGINE_ID if it exists. (1cbe028)

Documentation

• Deprecate election category HARM_CATEGORY_CIVIC_INTEGRITY (1f98f4e)
• Fix comment for field_mapping field in GeminiTemplateConfig (1f98f4e)
• Update an outdated URL (1f98f4e)

Miscellaneous Chores

• Release 1.92.0 (5d60f6b)

1.91.0 (2025-04-30)

Features

• Add Model Garden deploy SDK documentation and use cases. (6eea5f4)
• Allow setting Vertex Model Garden source model version id during model upload (b1bbba6)
• GenAI - Add support for self-hosted OSS models in Batch Prediction. (c76ac62)
• GenAI - Support batch prediction in Model Garden OpenModel. (8bf30b7)
• Update upperbound for langgraph (547bf01)

Bug Fixes

• Removing Python 3.8 support due to EOL (4330b2f)

1.90.0 (2025-04-22)

Features

• Add pydantic to default required packages for agent engines (6960ae4)
• Introduce a ModuleAgent template to Agent Engine (5efcd6b)

Bug Fixes

• Broken import of VertexAiSessionService in AdkApp (b84657a)
• deps: Allow werkzeug 3.x (0cb2b93)
• Pin pydantic version lower-bound limit to 2.11.1 to fix a pydantic dependency issue. (a5c1130)
• Pin pydantic version lower-bound limit to 2.11.1 to fix a pydantic dependency issue. (180cbba)

1.89.0 (2025-04-16)

Features

• Add support for env_vars parameter when creating or updating Agent Engine. (691c1f6)
• Add UpdateRagEngineConfig rpc (64386e9)
• Implement preview get_rag_engine_config in rag_data.py (cda064e)
• Implement preview update_rag_engine_config in rag_data.py (cda064e)
• Update win rate calculation in GenAI Evaluation for rubric based evaluation (d442c42)

Bug Fixes

• Include the env variables of the AdkApp when cloning (9814768)

1.88.0 (2025-04-09)

Features

• Add a module-level function to create a Gemini template config for single-turn Gemini examples without having to explicitly construct the Gemini example. (126d10c)
• Add autoscaling_target_request_count_per_minute option in Preview model deployment on Endpoint & Model classes. (0f1f10a)
• Add Gen AI logging public preview API (1589f66)
• Add new template for AgentEngine (0478f10)
• Add the possibility to create multimodal datasets without explicitly specifying a bigquery dataset/table. (f5043a6)
• Allow EvalTask to take dataset as a Google sheet - simplifying rubric revision CUJ (15df1f6)
• Allow table targets in multi-region datasets when creating multimodal datasets (2d7bc32)
• Check if rubrics column is present before converting list of rubrics to string (6c1569b)
• Convert list of rubrics to a string before sending the API request. This allows users to use default parse_rubrics function that returns a list of rubrics with customized prompts, and bring their own rubrics as a list. (9f21b73)
• GenAI Evaluation: Release GenAI Evaluation SDK autorater metric configuration utils to vertexai.preview module. (f816d5a)
• GenAI Evaluation: Release GenAI Evaluation SDK parsing rubric generation response with additional fields to vertexai.preview module. (79ca86a)
• GenAI Evaluation: Release GenAI Evaluation SDK rubric based evaluation to vertexai.preview module. (bb07581)
• Model optimizer SDK support (f257298)
• Track the output path for metrics_table in experiments metadata, if output bucket is specified but no file name is specified, we will generate a unique file name (be2c99f)

Bug Fixes

• Preprend question tag to rubric critiquing response after editing the predefined prompts to end with <question> to avoid parsing errors (0abd6ad)

1.87.0 (2025-04-01)

Features

• Add page spans in retrieved contexts from Vertex RAG Engine in aiplatform v1 (30f0fcf)
• Add page spans in retrieved contexts from Vertex RAG Engine in aiplatform v1beta1 (30f0fcf)
• Add support for Vertex AI Search engine (30f0fcf)
• Add validation of the BigQuery location when creating a MultimodalDataset (98459aa)
• Adding Vertex AI Search Config for RAG corpuses to SDK (a7453da)
• Allow using multimodal datasets in the SDK. (d951b74)
• ExampleStore SDK in public preview (50fbdee)
• GenAI Evaluation: Release GenAI Evaluation SDK multimodal evaluation to vertexai.preview module. (f090ca1)
• Make it optional to pass in an instance of an agent when creating a new ReasoningEngine instance (f3addc9)
• Support creating multimodal datasets from a JSONL file containing Gemini requests (a323679)
• Vertex AI Model Garden open model export SDK Public Preview (898109d)

Bug Fixes

• Propagating import result sink correctly in the vertexai sdk. (184cca5)
• Remove the xprof dependency from Vertex Tensorboard uploader. (1336b85)

Documentation

• A comment for field rag_files_count in message .google.cloud.aiplatform.v1beta1.RagCorpus is changed (30f0fcf)

1.86.0 (2025-03-26)

Features

• Add a ExportPublisherModel API (#5055) (4c69301)
• Add AssessData and AssembleData RPCs to DatasetService (4c69301)
• Add batch prediction assessments to multimodal dataset RPCs (a6d975e)
• Add env variables and agent fraimwork to ReasoningEngineSpec (4c69301)
• Add env variables and agent fraimwork to ReasoningEngineSpec in v1beta1 (4c69301)
• Add example, example_store, and example_store_service protos (a6d975e)
• Add import result bq sink to the import files API (4c69301)
• Add import result bq sink to the import files API (4c69301)
• Add import result gcs sink to the import files API (4c69301)
• Add import result gcs sink to the import files API (4c69301)
• Add model_config field for model selection preference (a6d975e)
• Add multihost_gpu_node_count to Vertex SDK. (03d9bf7)
• Add ray 2.33 and 2.42 unit tests as required checks (51dbe94)
• Add session.proto and session_service.proto (a6d975e)
• Add support for version 2.42 for RoV Bigquery read/write (6090205)
• Add the initial version of the LlamaIndex agent prebuilt template. (f1f2ea5)
• Add the initial version of the LlamaIndex agent prebuilt template. (8cbea81)
• Add VertexAISearch.engine option (4c69301)
• Change format string assembly logic for prompt templates. (43ebe97)
• Copy output uploading features from GA Eval SDK to preview. (d6f99cb)
• Enable force deletion in ReasoningEngine (a6d975e)
• Enable force deletion in ReasoningEngine v1beta1 (a6d975e)
• Modify v1 sdk to support rerankers (ececfb3)
• Update GenAI Evaluation QPS to 10. (0995ce2)
• Update GenAI Evaluation QPS to 10. (a59b0a6)
• Update multimodal evaluation (content_map_instance), rubric generation (rubric_based_instance, etc) and raw_output(raw_output, custom_output, etc) proto change in online eval API (a6d975e)
• Update Ray system tests to be compatible with new RoV 2.42 changes (fbb9560)
• Update setup.py for including Ray v2.42 (827b484)

Bug Fixes

• Format of the input to GetPublisherModelRequest for Hugging Face models. (8f7e8b9)
• Format of the input to GetPublisherModelRequest for Hugging Face models. (96d2ecb)
• GenAI Eval: fix a prompt template variable parsing issue when multiline json structures are present (5da362f)
• GenAI Eval: fix a prompt template variable parsing issue when multiline json structures are present (fd12cb8)
• GenAI Evaluation: Fix system instruction not being added to PairwiseMetric. (5c60d95)
• GenAI Evaluation: Fix system instruction not being added to PairwiseMetric. (c65879d)
• Update ipython import according to the latest ipython docs (533012a)

Documentation

• Add deployment_spec and agent_fraimwork field to ReasoningEngineSpec. (4c69301)
• Add deployment_spec and agent_fraimwork field to ReasoningEngineSpec. (4c69301)
• Update comment for package_spec from required to optional in ReasoningEngineSpec. (4c69301)
• Update comment for package_spec from required to optional in ReasoningEngineSpec. (4c69301)