python-docs-samples chore(deps): update dependency google-cloud-aiplatform to v1.111.0

This PR contains the following updates:

Package	Change	Age	Confidence
google-cloud-aiplatform	`==1.47.0` -> `==1.111.0`
google-cloud-aiplatform	`==1.103.0` -> `==1.111.0`
google-cloud-aiplatform	`==1.69.0` -> `==1.111.0`
google-cloud-aiplatform	`==1.87.0` -> `==1.111.0`
google-cloud-aiplatform	`==1.82.0` -> `==1.111.0`
google-cloud-aiplatform	`==1.74.0` -> `==1.111.0`
google-cloud-aiplatform	`==1.86.0` -> `==1.111.0`
google-cloud-aiplatform	`==1.84.0` -> `==1.111.0`
google-cloud-aiplatform	`==1.64.0` -> `==1.111.0`
google-cloud-aiplatform	`==1.57.0` -> `==1.111.0`
google-cloud-aiplatform	`==1.62.0` -> `==1.111.0`

Release Notes

googleapis/python-aiplatform (google-cloud-aiplatform)

`v1.111.0`

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⚠ BREAKING CHANGES

GenAI SDK client - remove duplicate types for Content, Part, and evals

Features

Add disable_container_logging in v1beta1 api (3a75313)
Add encryption_spec support to Agent Engine genai sdk. (3bb8100)
Add API response for Gen AI Evaluation in Tuning (3a75313)
Add Customization Config to Memory Bank (23d7681)
Add data foundry service synthetic data generation API for v1 (3a75313)
Add new api for getting deploy options for Vertex AI Model Garden custom model (d0c7803)
Add support for plugins and credential service in AdkApp (93561a7)
Add TTL fields for Memory Bank and Sessions (eff6c58)
Adding gpu_partition_size parameter to Endpoint.deploy() method. (7ebbddb)
Enabled deploy dedicated endpoint by default (1a3f477)
GenAI SDK client - Add live/bidi streaming support for Agent Engine (4fec136)
GenAI SDK client(evals) - Implement Predefined metrics support in Vertex GenAI Eval SDK (248a365)
GenAI SDK client(evals) - Release GenAI evals module to public preview and remove experimental warning from client.evals module (b915b61)
GenAI SDK client(evals) - Support Predefined Metrics in generate_rubrics (c0b6f5c)
Introduce AdkApp in GA (a6600dd)
RAG - Add support for max_embedding_requests_per_min in upload_file request (a330ecb)
RAG - Add support for max_embedding_requests_per_min in upload_file request (a885b5d)

Bug Fixes

GenAI SDK client - Deploy ADK agents using the AdkApp template in GA (4f1e013)
GenAI SDK client - do not register API methods in get or update for agent_engines with lightweight creation (d76411a)
GenAI SDK client - Provide the operation error message if it is available (edaedb1)
GenAI SDK client - switch to nested modules for agent engines (b1d0b7c)
Rename agent_engine parameter to agent in Agent Engines. (65bf9b6)

Miscellaneous Chores

GenAI SDK client - remove duplicate types for Content, Part, and evals (b4d37b6)
Release 1.111.0 (e1ad1c5)

`v1.110.0`

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Features

Add encryption_spec support to Agent Engine create and update. (1b135ca)
Add run_config parameter to AdkApp query methods (e3b9a76)
Add DirectMemoriesSource to SDK (cebad9a)
Add option EndpointUserId and ModelUserId fields (2aae1f9)
GenAI SDK client - Agent Engine Session Events SDK (69d87e2)
RAG - Add support for timeout in upload_file request (bc7e2e9)
Support for runtime controls and PSC-I in Agent Engine. (ec11bd3)

`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.

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dataflow/run-inference failing on https://github.com/GoogleCloudPlatform/python-docs-samples/pull/13150#issuecomment-2731459407

Mar 18 '25 02:03 glasnt

Py3.10 failing for unrelated reasons on dataflow/run-inference, people-and-planet-ai/image-classification.

Py 3.9 and 3.12 failing for generative_ai/evaluation, generative_ai/model_tuning due to ModuleNotFoundError: No module named 'sklearn'

Apr 29 '25 00:04 glasnt