v1.109.0

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Features

• Add gpu_partition_size to MachineSpec (b753565)
• Add API for Gen AI Evaluation in Tuning (b753565)
• Add direct_memories_source (b753565)
• Add expiration for TTL for Memory and Sessions (b753565)
• Add force_delete field to DeleteRagFile 'preview' API request for Vertex RAG (b753565)
• Add Grounding with Google Maps tool (b753565)
• Add memory related methods to AdkApp (1368f6a)
• Add option EndpointUserId and ModelUserId fields (b753565)
• Add support for CMEK, runtime controls, and PSC-I to Reasoning Engine protos (b753565)
• Add update_mask "embedding_metadata" to MatchingEngineIndex upsert_datapoints() to support embedding metadata update. (0870512)
• Added document_name for vertex ai search as part of retrieved context from grounding chunk (b753565)
• Expose RecommendSpecs api to vertex python SDK for Custom Weights Model deployment (b753565)
• Migrate dedicated endpoint to be enabled by default (b753565)
• Support for runtime controls and PSC-I (77f7b8e)

Documentation

• A comment for field dedicated_endpoint_enabled in message .google.cloud.aiplatform.v1.DeployRequest is changed (b753565)
• A comment for field monitored_resource_labels in message .google.cloud.aiplatform.v1beta1.AutoscalingMetricSpec is changed (b753565)
• Add encryption_spec to ReasoningEngine (b753565)
• Add psc_interface_config, min/max_instances, resource_limits, container_concurrency to ReasoningEngineSpec (b753565)
• Update comment for allowed values for config models (b753565)

v1.108.0

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Features

• Add autoscaling_target_pubsub_num_undelivered_messages option in Preview model deployment on Endpoint & Model classes. (52eacce)

Bug Fixes

• GenAI SDK client - Fix typo in error message for optimize_prompt (63e1caa)
• Set the agent_framework when initializing module-based agent engine (6c15762)

v1.107.0

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Features

• A new value NVIDIA_GB200 is added to enum AcceleratorType (d682fac)
• Add DeploymentStage for CreateEndpointOperationMetadata and DeployModelOperationMetadata (d682fac)
• Add a FooBar API (d682fac)
• Add autoscaling metrics parameters for PrivateEndpoint class's model deployment API (58880be)
• Add embedding_metadata to google.cloud.aiplatform.v1.Index (d682fac)
• Add enable_datapoint_upsert_logging to google.cloud.aiplatform.v1.DeployedIndex (d682fac)
• Add exclude_domains for grounding with GoogleSearch and EnterpriseWebSearch (d682fac)
• Add FeatureViewDirectWrite API in v1 (d682fac)
• Add field ReasoningEngineSpec.service_account (d682fac)
• Add ray 2.47 unit tests as required checks (5445648)
• Add the VeoTuningSpec (d682fac)
• Added the ability to use the Model Armor service for content sanitization (d682fac)
• Adds DWS and spot VM feature support to custom batch predictions 2.0 (d682fac)
• GenAI SDK client - add zero-shot prompt optimizer: an option to quickly improve provided system instructions or a prompt, or generate new system instructions based on a prompt. (bc2e8f4)
• GenAI SDK client - Agent Engine Session SDK (8f28c40)
• GenAI SDK client(evals) - add visualization support for rubric-based evaluation workflow (299c44c)
• Online Prediction DeployModel API to support custom metrics based autoscaling (d682fac)
• Remove private preview label from Model Armor protos (d682fac)

Documentation

• Update comments for rpc BatchCreatePullRequestComments, ResolvePullRequestComments and UnresolvePullRequestComments (d682fac)

v1.106.0

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Features

• Add service_account parameter to AgentEngine class for creation and update (6359168)
• Add service_account to Reasoning Engine public protos (7b6010b)
• Add service_account to Reasoning Engine public protos (7b6010b)
• Add Vertex AI Model Garden deploy SDK unified Model class in Public Preview (78c8fdd)
• Allow adapter_size=32 for supervised tuning (3a776a7)
• Vertex AI Model Garden deploy SDK Support for self-deploy Partner Model (6c72801)

Bug Fixes

• GenAI SDK client - handle os paths for .whl in requirements when deploying to agent engine (75cd064)
• GenAI SDK client - parsing json body of HTTP response to yield JSON (8cfd9ba)
• Use datasets.MultimodalDataset.from_gemini_request_jsonl() without target_table_id. (e92cca2)

v1.105.0

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Features

• Add FlexStart option to DeploymentResourcePool.create, Endpoint.deploy, and Model.deploy (preview) (82dd075)
• Add Ray 2.47 support to RoV Bigquery read/write (8e6df42)
• Add Ray 2.47 support to SDK Client Builder (dde560d)
• Add support for managed oss fine tuning service (2672ec3)
• GenAI SDK client(evals) - Add async evaluate_instances method (a52198a)
• Improve PersistentResource exception logging to include cluster name (4b88698)
• Provide docs for using invoke method. (1315df7)
• RAG - add timeout options for create_corpus, update_corpus and update_rag_engine_config for both v1 and v1beta1 apis. (afa5610)
• Update Ray version support to include Ray v2.47" (e0ee94c)
• Vertex AI Model Garden custom model deploy SDK Public Preview (1ceb2e1)

Bug Fixes

• GenAI SDK client - Fix JS variable name conflict in evals visualization for VS Code iPython environment (079b1f9)

v1.104.0

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Features

• Add Aggregation Output in EvaluateDataset Get Operation Response (43eee8d)
• Add API for Managed OSS Fine Tuning (43eee8d)
• Add flexstart option to v1beta1 (43eee8d)
• Expose task_unique_name in pipeline task details for pipeline rerun (43eee8d)
• GenAI SDK client - Add support for context specs when creating agent engine instances (8321826)
• GenAI SDK client(evals) - Add Generate Rubrics API config and internal method (6727fb3)
• GenAI SDK client(evals) - add rubric-based evaluation types (df2390e)
• GenAI SDK client(evals) - Add support for rubric-based metrics, and rubric customization eval workflow (36bfda2)
• Some comments changes in machine_resources.proto to v1beta1 (43eee8d)
• Vertex AI Model Garden custom model deploy Public Preview (43eee8d)

Bug Fixes

• GenAI SDK client(evals) - Handle optional pandas dependency in type hints (cee8d8b)

Documentation

• A comment for field boot_disk_type in message .google.cloud.aiplatform.v1beta1.DiskSpec is changed (43eee8d)
• A comment for field learning_rate_multiplier in message .google.cloud.aiplatform.v1beta1.SupervisedHyperParameters is changed (43eee8d)
• A comment for field machine_spec in message .google.cloud.aiplatform.v1beta1.DedicatedResources is changed (43eee8d)
• A comment for field max_replica_count in message .google.cloud.aiplatform.v1beta1.AutomaticResources is changed (43eee8d)
• A comment for field max_replica_count in message .google.cloud.aiplatform.v1beta1.DedicatedResources is changed (43eee8d)
• A comment for field min_replica_count in message .google.cloud.aiplatform.v1beta1.AutomaticResources is changed (43eee8d)
• A comment for field min_replica_count in message .google.cloud.aiplatform.v1beta1.DedicatedResources is changed (43eee8d)
• A comment for field model in message .google.cloud.aiplatform.v1beta1.TunedModel is changed (43eee8d)
• A comment for field required_replica_count in message .google.cloud.aiplatform.v1beta1.DedicatedResources is changed (43eee8d)
• A comment for field training_dataset_uri in message .google.cloud.aiplatform.v1beta1.SupervisedTuningSpec is changed (43eee8d)
• A comment for field validation_dataset_uri in message .google.cloud.aiplatform.v1beta1.SupervisedTuningSpec is changed (43eee8d)
• A comment for message DedicatedResources is changed (43eee8d)
• Add constraints for AggregationMetric enum and default value for flip_enabled field in AutoraterConfig (43eee8d)

v1.103.0

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Features

• Add ADK version check and set MemoryBankService as default when google-adk>=1.5.0 (262fbc3)
• Add logging for agent engine creation (795ee17)
• Populate task_unique_name from initial pipeline run in Pipeline Task Rerun Configs for pipeline job rerun (116a0a6)
• Ummd.MultimodalDataset.from_bigquery() now also accepts a table id (not just a BQ table URI). (6e5c421)

v1.102.0

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Features

• Add message ColabImage, add field colab_image to NotebookSoftwareConfig (2c64a76)
• Add message ColabImage, add field colab_image to NotebookSoftwareConfig (2c64a76)
• Configure Bigframes implicitly in MultimodalDataset.assess(). (0664ea3)
• GenAI SDK client - add async version of prompt optimizer (4564c9c)
• GenAI SDK client (evals) - add LLMMetric.load function to load a config file (local or GCS) (56252e8)

Documentation

• Fix the docstring example for unary Endpoint invoke method. (a132e86)

v1.101.0

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Features

• Allow installation scripts in AgentEngine. (9296d4d)
• Add invoke method. It supports both streaming and non-streaming cases. (e686932)
• Add computer use support to tools (f56c42e)
• Add computer use support to tools (f56c42e)
• Allow users to pass project_number for custom job service account when service_account is not provided. (5b59030)
• Expose task_unique_name in pipeline task details for pipeline rerun (f56c42e)
• Support creating an invoke enabled model in Python SDK (71a8d7b)

v1.100.0

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Features

• Add import_embeddings method in MatchingEngineIndex resource (5a0df36)
• Add invoke_route_prefix to ModelContainerSpec in aiplatform v1 models.proto (4202177)
• Add invoke_route_prefix to ModelContainerSpec in aiplatform v1beta1 models.proto (d4ede02)
• Add Model Garden deploy OSS model API (d4ede02)
• Add PSCAutomationConfig to PrivateServiceConnectConfig in service_networking.proto (d4ede02)
• Add validation assessment for batch prediction. (d570fc9)
• GenAI SDK client - Add batch_evaluate method for asynchronous batch eval. Add transformation support for consistent interface parameters with the evaluate method (4d44f94)
• GenAI SDK client - Add Vertex AI Prompt Optimizer to the Gen AI SDK (experimental) (5daacda)
• GenAI SDK client - Initial release of Agent Engine Memories SDK (e8d18b6)
• GenAI SDK client (evals) - add support for third-party model inference via litellm library (e728d8b)
• matching-engine: Add sync argument to deploy_index (fee1e2d)
• Reasoning Engine v1beta1 subresource updates (d4ede02)
• Updated explicit sync to existing decorator optional_sync (fee1e2d)

Bug Fixes

• Fix auth scope for RAG upload_file (a506b94)
• Fixed return type for deploy_index and added test for sync values (fee1e2d)
• Use PrivateServiceConnectConfig in service_networking in PrivateEndpoint instead of the wrapper class PrivateServiceConnectConfig (87c2c3e)

v1.99.0

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Features

• [vertexai] Added concise option name to OpenModel.list_deploy_options() (9a0eec6)
• Add resource usage assessment for batch prediction. (f63e436)
• Add support for ADK memory service to AdkApp template (733fddd)
• GenAI SDK client - Add automatic candidate naming and creation timestamp to evaluation dataset metadata (e8897e7)
• GenAI SDK client - Add support for OpenAI data format for evals (f8f66f1)
• GenAI SDK client - Adding client-based SDKs for Agent Engine (7b51d9e)

Documentation

• Add deprecation notice to readme for Generative AI submodules: vertexai.generative_models, vertexai.language_models, vertexai.vision_models, vertexai.tuning, vertexai.caching (beae2e3)
• Add deprecation notice to readme for Generative AI submodules: vertexai.generative_models, vertexai.language_models, vertexai.vision_models, vertexai.tuning, vertexai.caching (cdee7c2)
• Add deprecation notice to readme for Generative AI submodules: vertexai.generative_models, vertexai.language_models, vertexai.vision_models, vertexai.tuning, vertexai.caching (9b0beae)

v1.98.0

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Features

• Add DnsPeeringConfig in service_networking.proto (c5bb99b)
• Add DnsPeeringConfig in service_networking.proto (c5bb99b)
• Add EncryptionSpec field for RagCorpus CMEK feature to v1 (9b48d24)
• Add PSC interface config support for Custom Training Jobs (267b53d)
• Add RagEngineConfig update/get APIs to v1 (c5bb99b)
• Add Scaled tier for RagEngineConfig to v1beta, equivalent to Enterprise (c5bb99b)
• Added autoscaling_target_request_count_per_minute to model deployment on Endpoint and Model classes (4df909c)
• Adding VAPO Prompt Optimizer (PO-data) to the genai SDK. (701b8d4)
• Enable asia-south2 (a1f4205)
• Enable Vertex Multimodal Dataset as input to supervised fine-tuning. (959d798)
• Export global quota configs in preview sdk (7f964d5)
• GenAI SDK client - add show method for EvaluationResult and EvaluationDataset classes in IPython environment (c43de0a)
• Introduce RagFileMetadataConfig for importing metadata to Rag (9b48d24)
• RAG - Add Basic, Scaled and Unprovisioned tier in v1. (726d3a2)
• RAG - Add Scaled and Unprovisioned tier in preview. (726d3a2)
• RAG - Implement v1 get_rag_engine_config in rag_data.py (726d3a2)
• RAG - Implement v1 update_rag_engine_config in rag_data.py (726d3a2)
• Update v1 create_corpus to accept encryption_spec in rag_data.py (865a68c)

Bug Fixes

• Update supported python version for create_reasoning_engine (0059c01)
• Use none check to avoid 30s delay in agent run. (84895b6)

Documentation

• Add GenAI client examples to readme (f1e17a6)

v1.97.0

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Features

• Add GenAI client (experimental) (166b747)
• Expose UrlContextMetadata API to v1 (b57cbd3)
• Expose UrlContextMetadata API to v1beta1 (b57cbd3)
• Integration with Vertex AI Multimodal Datasets: Update train_dataset and validation_dataset in sft.train() docstring to include the Vertex Multimodal Dataset as a dataset source option. (eac1de0)
• RAG - Introduce configuration to corpus types, with DocumentCorpus and MemoryCorpus options. (ede4b5b)

Bug Fixes

• Add default auth scope (3d747e7)
• Add support for ADK Agents as a supported type for agent engine (6b177ca)
• Set memory corpus configuration into RagCorpus object. (39d3c70)

v1.96.0

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Features

• A new field include_thoughts is added to message .google.cloud.aiplatform.v1.GenerationConfig.ThinkingConfig (f2244aa)
• A new field include_thoughts is added to message .google.cloud.aiplatform.v1.Part (f2244aa)
• A new field thought_signature is added to message .google.cloud.aiplatform.v1.Part (f2244aa)
• A new field thought is added to message .google.cloud.aiplatform.v1.Part (f2244aa)
• Add json schema support to structured output and function declaration (f2244aa)
• Add json schema support to structured output and function declaration (f2244aa)
• Add network_attachment to PscInterfaceConfig (f2244aa)
• Add psc_interface_config to CustomJobSpec (f2244aa)
• Add psc_interface_config to PersistentResource (f2244aa)
• Add psc_interface_config to PipelineJob (f2244aa)
• Expose URL Context API to v1 (f2244aa)
• Expose URL Context API to v1beta1 (f2244aa)

Bug Fixes

• Small fix in MultimodalDataset.toBigframes(). (ee12f05)

Documentation

• Allow field thought to be set as input (f2244aa)

Miscellaneous Chores

• Release 1.96.0 (97be629)

v1.95.1

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Features

• Add support to process RAG response and generate inline citations in RAG v1. (2b2dc4f)
• Register async methods to AdkApp. (cb2754d)

Bug Fixes

• Fix CachedContent.create if the kms_key_name is not given (05986c0)

Miscellaneous Chores

• Release 1.95.1 (1d2387f)

v1.95.0

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Features

• [vertexai] Fix the result of export function (9427b15)
• Add async support for reasoning engine. (1b7d29c)
• Introduce RAG as context/memory store for Gemini Live API (787c60f)
• Update AdkApp template to match ADK async interface. After this change, AdkApp will only work with ADK >= 1.0.0. (e1745d7)

v1.94.0

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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)

v1.93.1

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Bug Fixes

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

v1.93.0

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Features

• A new value NVIDIA_B200 & NVIDIA_H200_141GB is added to enum AcceleratorType (02236be)
• Add MultimodalDataset.toBigframes() method to convert dataset to a Bigframes Dataframe 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_framework 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)

v1.92.0

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⚠ 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](https://redirect.github.com/goog