chore(deps): update dependency google-cloud-aiplatform to v1.143.0

[red-hat-konflux-kflux-prd-rh02]

This PR contains the following updates:

Package	Change	Age	Confidence
google-cloud-aiplatform	==1.139.0 -> ==1.143.0

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Release Notes

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

v1.143.0

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Features

• Add AgentEngine Sessions module (368a8f8)
• Add memory_id to Create Memory (2167f36)
• Add RagMetadata and RagDataSchema management APIs (4f0fdfe)
• Add raw_event to Append Event (2167f36)
• GenAI SDK client(multimodal) - Accept gemini_request_read_config instead of template_config in all functions. (f138162)
• GenAI SDK client(multimodal) - Support creating multimodal dataset from bigframe DataFrame (9b7dc29)

Bug Fixes

• Exclude compromised LiteLLM versions from dependencies pin to 1.82.6 (78966da)
• Fix rag resource parsing (bc61708), closes #​6442

v1.142.0

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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 model_status to GenerateContentResponse (Gemini API only) (6a03f78)
• Add new embed_content_config to message EmbedContentRequest (981a551)
• Add new embed_content_config to message EmbedContentRequest (981a551)
• Add part_metadata in Part (Gemini API only) (6a03f78)
• 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)
• Support rendered_parts in GroundingSupport (6a03f78)
• 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)

v1.141.0

Compare Source

Features

• "global" endpoint supports "grpc" transport (b3bae32)
• Add PromptTemplateData to support context and history columns when creating Evaluation run from dataframe (e887a2e)
• GenAI Client(evals): Add candidate name to local ADK agent scraping (79d8e1c)
• GenAI Client(evals): Add validation for agent_data in EvaluationDataset in create_evaluation_run (2b0a98c)
• GenAI Client(evals): onboarding agent_config (agents) in create_evaluation_run (eacc86c)
• GenAI Client(evals): Patch agent config map to agent data (8ba4707)
• GenAI Client(evals): Update to enable agent run functionality in eval management service (7a59738)
• Update match_service proto for new embedding metadata fields (fba5350)
• Update match_service proto for new embedding metadata fields (fba5350)
• Update match_service proto for new embedding metadata fields (fba5350)

Bug Fixes

• GenAI Client(evals) - Add datetime and bytes serialization to _json_serializer (7410b1d)

v1.140.0

Compare Source

Features

• A new field computation_based_metric_spec is added to message .google.cloud.aiplatform.v1beta1.Metric (e5f71de)
• A new field evaluation_run is added to message .google.cloud.aiplatform.v1beta1.EvaluateDatasetRun (e5f71de)
• A new field inference_generation_config is added to message .google.cloud.aiplatform.v1beta1.EvaluationConfig (e5f71de)
• A new field llm_based_metric_spec is added to message .google.cloud.aiplatform.v1beta1.Metric (e5f71de)
• A new field metric_results is added to message .google.cloud.aiplatform.v1beta1.EvaluateInstancesResponse (e5f71de)
• A new field predefined_metric_spec is added to message .google.cloud.aiplatform.v1beta1.Metric (e5f71de)
• A new message ComputationBasedMetricSpec is added (e5f71de)
• A new message LLMBasedMetricSpec is added (e5f71de)
• A new message MetricResult is added (e5f71de)
• A new message PredefinedMetricSpec is added (e5f71de)
• Add traffic_type, tool_use_prompt_tokens_details to message GenerateContentResponse.UsageMetadata (e5f71de)
• Add AskContexts and AsyncRetrieveContexts APIs to VertexRagService (fa610af)
• Add AskContexts and AsyncRetrieveContexts APIs to VertexRagService (fa610af)
• Add async wrappers in the GenAI client for the Agent Engine Task Store Service (199a406)
• Add image_spec to Reasoning Engine public protos (e5f71de)
• Add image_spec to Reasoning Engine public protos (e5f71de)
• Add max_concurrent_active_run_count field to Schedule message (e5f71de)
• Add max_concurrent_active_run_count field to Schedule message (e5f71de)
• Add model_armor_config to GeminiExample (e5f71de)
• Add more fields to the GenAI client for the Agent Engine Task Store Service (7d58adb)
• Add resource_reference to the field name in message .google.cloud.aiplatform.v1beta1.Dataset (e5f71de)
• Add resource_reference to the field name in message .google.cloud.aiplatform.v1beta1.DatasetVersion (e5f71de)
• Add support for agent_config_source (ADK) in AgentEngines (204e5b4)
• Add the GenAI client for the Agent Engine Task Store Service (b54ce6d)
• Add transcription fields to Session Service (e5f71de)
• Add v1 API version for Session Service (e5f71de)
• Add Vertex Multimodal Datasets as input and output types in google.cloud.aiplatform.v1beta1.BatchPredictionJob (e5f71de)
• Add Vertex Multimodal Datasets as input and output types in google.cloud.aiplatform.v1beta1.BatchPredictionJob (e5f71de)
• GenAI Client(evals) - Add 3 new multi-turn predefined metrics for agent evaluation (MULTI_TURN_TOOL_USE_QUALITY, MULTI_TURN_TRAJECTORY_QUALITY, MULTI_TURN_TASK_SUCCESS). (513d4d6)
• GenAI Client(evals) - Refactor evaluation visualization to support multi-agent traces and system topology. (84c5602)
• GenAI Client(evals): Add local ADK agent multi-turn agent scraping via ADK user simulation library (429a182)
• GenAI Client(evals): Add user scenario generation function to eval components (87a5125)
• Update data types from discovery doc. (6b5cc8f)

Bug Fixes

• Add safeguards and warnings for remote code execution during pickle-based model deserialization (aa22f54)
• GenAI Client(evals): Avoid required session_inputs column to eval dataset (134b989)
• Only include CandidateResponse if a response is present (10efc13)
• Save artifact in streaming agent run with events when multiturn (e9f1c88)

Documentation

• A comment for enum AggregationMetric is changed (e5f71de)
• A comment for field aggregation_output in message .google.cloud.aiplatform.v1beta1.EvaluateDatasetResponse is changed (e5f71de)
• A comment for field expire_time in message .google.cloud.aiplatform.v1beta1.Session is changed (e5f71de)
• A comment for field filter in message .google.cloud.aiplatform.v1beta1.ListSessionsRequest is changed (e5f71de)
• A comment for field output_info in message .google.cloud.aiplatform.v1beta1.EvaluateDatasetResponse is changed (e5f71de)
• A comment for field ttl in message .google.cloud.aiplatform.v1beta1.Session is changed (e5f71de)
• A comment for message EvaluateDatasetResponse is changed (e5f71de)
• A comment for message Metric is changed (e5f71de)
• A comment for message OutputInfo is changed (e5f71de)
• Comment on evaluate_dataset_response clarified (e5f71de)
• Update documentation of .google.cloud.aiplatform.v1.DatasetService, .google.cloud.aiplatform.v1.Dataset, and .google.cloud.aiplatform.v1.DatasetVersion (e5f71de)
• Update documentation of .google.cloud.aiplatform.v1beta1.Dataset and .google.cloud.aiplatform.v1beta1.DatasetVersion (e5f71de)

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