google-cloud-aiplatform 1.142.0

v1.142.0

on Python PyPI

1.142.0 (2026-03-20)

Features

• Add retrieve_contexts_async and ask_contexts SDK methods in rag_retrieval.py (0e0137e)
• Add VALIDATED Function Calling mode to v1 (981a551)
• Add aiohttp to agent_engines dependencies. (394253a)
• Add custom session id field to create session v1 (981a551)
• Add custom session id field to create session v1beta1 (981a551)
• Add EvaluationMetric Create, Get and List methods to Vertex SDK GenAI evals (f4b4244)
• Add new embed_content_config to message EmbedContentRequest (981a551)
• Add new embed_content_config to message EmbedContentRequest (981a551)
• Add raw_event field to event proto v1 (981a551)
• Add support for metric_resource_name within metric in rubric generation (4dbd76c)
• Add support for passing agent data for custom code execution metric (0c70de8)
• Add support for referencing registered metrics by resource name in evaluation run API (76a9558)
• Adds run_query_job and check_query_job to SDK for long running async tasks. (0cff2d8)
• Allow using registered metric resource names in evaluation (72942a4)
• Enable a2a streaming for agents deployed to Agent Engine. (ccfd37f)
• GenAI Client(evals) - BREAKING_CHANGE: The agent engine resource name is now passed as a separate agent parameter to create_evaluation_run methods, rather than being part of the AgentInfo object. This parameter is now required if agent_info is provided (dab185a)
• GenAI Client(evals): Add starting_prompt, conversation_plan, agent_data to evaluation datset (64ef223)
• GenAI Client(evals): Update to generate_conversation_scenarios from generate_user_scenarios (1b4c325)
• GenAI SDK client(multimodal) - Support creating multimodal dataset from pandas DataFrame. (8f4b4fe)
• GenAI SDK client(multimodal) - Support getting a bigframe DataFrame from a multimodal dataset (50d804f)
• RAG - Remove VectorDb defaulting in SDK (39b7fe5)
• RagMetadata and RagDataSchema concepts and Batch API definitions added for Preview (981a551)
• Refactor RegisteredMetricHandler and implement llm_based_metric_spec support (24f626c)
• Update the schema proto for the RagChunk with file_id and chunk_id to align with the vertex_rag_data.proto (981a551)
• Upgrade protobuf from v25.7 to v31.0 (981a551)

Bug Fixes

• Add embedding_metadata to MatchNeighbor from_embedding. (ffd2cff)
• GenAI Client(evals) - missing response warning when agent_data is present (0d6c54e)
• GenAI Client(evals): Drop empty columns in evaluation dataset (be869ca)
• GenAI Client(evals): Remove prompt filled by starting prompt (55b12a5)
• GenAI SDK client - Add get session call to create session sdk if an immediate success is returned (933debd)
• GenAI SDK client - Breaking Change: Remove the following types from vertexai.types and depend on these types from the Google GenAI SDK via google.genai.types - ComputationBasedMetricType, FunctionResponseScheduling, MediaResolution, Outcome, PairwiseChoice, RubricContentType, Blob, CodeExecutionResult, ExecutableCode, FileData, Part, PartMediaResolution, VideoMetadata, FunctionCall, FunctionResponse, FunctionResponseBlob, FunctionResponseFileData, FunctionResponsePart, PartialArg, ComputationBasedMetricSpec, LLMBasedMetricSpec, PredefinedMetricSpec, RubricGenerationSpec, BleuMetricValue, CustomOutput, ExactMatchMetricValue, PairwiseMetricResult, PointwiseMetricResult, RawOutput, RougeMetricValue, BigQuerySource, GcsSource, ModelArmorConfig (3cd949d)

Documentation

• Updated comments for rag_file_metadata_config across ImportRagFilesRequest and UploadRagFileRequest (981a551)