build(deps): bump google-cloud-aiplatform from 1.147.0 to 1.149.0 in the google-cloud group across 1 directory

[dependabot]

Bumps the google-cloud group with 1 update in the / directory: google-cloud-aiplatform.

Updates google-cloud-aiplatform from 1.147.0 to 1.149.0

Release notes

Sourced from google-cloud-aiplatform's releases.

v1.149.0

1.149.0 (2026-04-27)

Features

• Add asyncQueryReasoningEngine to aiplatform v1 API (6332d33)
• Add asyncQueryReasoningEngine to aiplatform v1beta1 API (6332d33)
• Add delete_evaluation_metric to GenAI SDK (6b63480)
• Add evaluation configuration and dataset runs to TuningJob (6332d33)
• Add evaluation metrics and autorater configuration to the AI Platform v1 API (6332d33)
• Add filter and order_by support to list_evaluation_metrics (a7acc97)
• Add multimodal input support and custom output formats to evaluation metrics (6332d33)
• Add OnlineEvaluator API and update Evaluation API (6332d33)
• Add origin to AttributeContext.Request (6332d33)
• GenAI Client(evals): Add allow_cross_region_model to generate_conversation_scenarios to enable cross region support for gemini 3 based model (dc3b639)
• GenAI SDK client(multimodal) - Allow passing dataset ID in addition to full resource name in dataset methods. (2fd8ca0)
• Migrate batch_predictions to agentplatform (53e16ba)
• Model Registry CopyModel BYOSA (6332d33)
• New field CopyModelRequest.custome_service_account for Model Registry CopyModel BYOSA (6332d33)
• Support VeoLoraTuningSpec in the tuning jobs (6332d33)
• Synchronize google/api/expr/v1alpha1 (6332d33)

Bug Fixes

• Add serializer to async_create_session to address 500 error in Agent Engine (AgentServerMode.EXPERIMENTAL). (ffe7fc7)
• deps: Bump litellm cap to >=1.83.7 for additional CVE remediation (3bd0b25)
• GenAI SDK client(multimodal) - Fix Pydantic validation errors when using create_* in some cases (ca6b45e)
• PrivateEndpoint.raw_predict parameter name (3d380ba)
• Removing Python 3.9 support due to EOL (dbdd7b1)
• Unpin litellm upper bound to allow CVE-2026-35030 remediation (e5e6346)
• Update litellm to >=1.83.0 to resolve security vulnerability (ac5a5e4)

Documentation

• Update comments and formatting (6332d33)
• Update doc string to replace Vertex AI with Gemini Enterprise Agent Platform, update method error message to replace Vertex AI with Gemini Enterprise Agent Platform (previously known as Vertex AI), update converter error message to replace Vertex AI with Gemini Enterprise Agent Platform (18d97b6)
• Update SelectiveGapicGeneration usage doc (6332d33)
• Update various comments (6332d33)

v1.148.1

1.148.1 (2026-04-17)

Bug Fixes

• Disable bound token sharing check for agent_engines (04d5092)
• Fix column name inconsistency (history vs conversation_history) across evaluation flows (37f72e5)

... (truncated)

Changelog

Sourced from google-cloud-aiplatform's changelog.

1.149.0 (2026-04-27)

Features

• Add asyncQueryReasoningEngine to aiplatform v1 API (6332d33)
• Add asyncQueryReasoningEngine to aiplatform v1beta1 API (6332d33)
• Add delete_evaluation_metric to GenAI SDK (6b63480)
• Add evaluation configuration and dataset runs to TuningJob (6332d33)
• Add evaluation metrics and autorater configuration to the AI Platform v1 API (6332d33)
• Add filter and order_by support to list_evaluation_metrics (a7acc97)
• Add multimodal input support and custom output formats to evaluation metrics (6332d33)
• Add OnlineEvaluator API and update Evaluation API (6332d33)
• Add origin to AttributeContext.Request (6332d33)
• GenAI Client(evals): Add allow_cross_region_model to generate_conversation_scenarios to enable cross region support for gemini 3 based model (dc3b639)
• GenAI SDK client(multimodal) - Allow passing dataset ID in addition to full resource name in dataset methods. (2fd8ca0)
• Migrate batch_predictions to agentplatform (53e16ba)
• Model Registry CopyModel BYOSA (6332d33)
• New field CopyModelRequest.custome_service_account for Model Registry CopyModel BYOSA (6332d33)
• Support VeoLoraTuningSpec in the tuning jobs (6332d33)
• Synchronize google/api/expr/v1alpha1 (6332d33)

Bug Fixes

• Add serializer to async_create_session to address 500 error in Agent Engine (AgentServerMode.EXPERIMENTAL). (ffe7fc7)
• deps: Bump litellm cap to >=1.83.7 for additional CVE remediation (3bd0b25)
• GenAI SDK client(multimodal) - Fix Pydantic validation errors when using create_* in some cases (ca6b45e)
• PrivateEndpoint.raw_predict parameter name (3d380ba)
• Removing Python 3.9 support due to EOL (dbdd7b1)
• Unpin litellm upper bound to allow CVE-2026-35030 remediation (e5e6346)
• Update litellm to >=1.83.0 to resolve security vulnerability (ac5a5e4)

Documentation

• Update comments and formatting (6332d33)
• Update doc string to replace Vertex AI with Gemini Enterprise Agent Platform, update method error message to replace Vertex AI with Gemini Enterprise Agent Platform (previously known as Vertex AI), update converter error message to replace Vertex AI with Gemini Enterprise Agent Platform (18d97b6)
• Update SelectiveGapicGeneration usage doc (6332d33)
• Update various comments (6332d33)

1.148.1 (2026-04-17)

Bug Fixes

• Disable bound token sharing check for agent_engines (04d5092)
• Fix column name inconsistency (history vs conversation_history) across evaluation flows (37f72e5)
• Fix create_session AttributeError for agents without AdkApp (3e85f64)
• Fix NameError when evaluating ADK agents with AgentTool via GenAI Evals SDK (04c5e02)

... (truncated)

Commits

• b2323ef chore(main): release 1.149.0 (#6618)
• dbdd7b1 fix: Removing Python 3.9 support due to EOL
• dc3b639 feat: GenAI Client(evals): Add allow_cross_region_model to generate_conversa...
• 3bd0b25 Copybara import of the project:
• 677b55e chore: Refresh the discoverydoc in v1beta1 for sandbox and async api in agent...
• ca6b45e fix: GenAI SDK client(multimodal) - Fix Pydantic validation errors when using...
• f5c4f8f chore: GenAI Client - Add replay tests for additional RubricMetrics coverage ...
• 659f8fd chore: Upgrade the google-cloud-storage version in vertex_extensions/reasonin...
• 2fd8ca0 feat: GenAI SDK client(multimodal) - Allow passing dataset ID in addition to ...
• 6332d33 Copybara import of the project:
• Additional commits viewable in compare view

[github-actions]

All CI checks passed for this core dependency update.

@em-pe Please review and merge manually.

google-cloud-aiplatform 1.147.0 → 1.148.1

Breaking changes:

• Methods for multimodal datasets now require the full resource name instead of just the dataset ID (v1.148.0). Not relevant to kedro-vertexai — this affects the GenAI multimodal dataset API, not Vertex AI Pipelines.

Deprecations:

• None

Notable changes:

v1.148.1 (bug fixes):

• Disable bound token sharing check for agent engines
• Fix create_session AttributeError for agents without AdkApp
• Lazy-load ADK imports in evals to avoid top-level ImportError
• Fix INVALID_ARGUMENT errors in GenerateLossClusters by stripping None fields

v1.148.0 (new features — all Agent Engine / GenAI / Memory Bank):

• Agent Engine: generation_trigger_config, agent gateway, keep-alive probe, cancel_query_job
• Memory Bank: ingest_events, memory_types filter, RetrieveProfiles, structured data support
• GenAI evals: loss cluster analysis, HTML visualizations, EvaluationRun SDK
• Model.upload(): bucket ownership verification added (security hardening)

Risk assessment: Low — the sole breaking change targets multimodal dataset APIs (client.datasets.*) that kedro-vertexai does not use. All pipeline-execution and deployment paths (aiplatform.PipelineJob) are unchanged.

Full changelog

1.148.1 (2026-04-17)

Bug Fixes

• Disable bound token sharing check for agent_engines
• Fix column name inconsistency (history vs conversation_history) across evaluation flows
• Fix create_session AttributeError for agents without AdkApp
• Fix NameError when evaluating ADK agents with AgentTool via GenAI Evals SDK
• GenAI Client(evals): Lazy-load ADK imports in _evals_common.py to avoid top-level ImportError
• GenAI SDK client(multimodal): Remove UpdateMultimodalDatasetConfig and replace with VertexBaseConfig
• Strip None fields from agent_data in GenerateLossClusters to prevent INVALID_ARGUMENT errors

1.148.0 (2026-04-15)

⚠ Breaking Changes

• Methods for multimodal datasets now require the full resource name instead of just the dataset ID.

Features

• Add Agent Engine-level configuration for generation_trigger_config
• Add ingest_events method for Memory Bank
• Add memory_types filter to RetrieveMemories; Add RetrieveProfiles
• Add structured data and context to MemoryRevision / Memory
• Add subset_topics to Memory Bank GenerateMemories
• Add support for agent gateway and keep-alive probe in agent engine
• Adds cancel_query_job to SDK for agent engine long running async tasks
• GenAI Client(evals): rich HTML loss analysis visualization, generate_loss_clusters, EvaluationRun SDK support
• GenAI SDK: Update client.prompts.create_version; auto-generate display names for multimodal datasets

Bug Fixes

• Add bucket ownership verification to prevent bucket squatting in Model.upload()
• GenAI SDK client(multimodal): Change "name" parameters to refer to resource name instead of dataset ID
• GenAI SDK client(multimodal): Fix "type mismatch" warnings in datasets module

Full compare: googleapis/python-aiplatform@v1.147.0...v1.148.1

Note

🔒 Integrity filter blocked 3 items

The following items were blocked because they don't meet the GitHub integrity level.

• build(deps): bump google-cloud-aiplatform from 1.147.0 to 1.149.0 in the google-cloud group across 1 directory #315 pull_request_read: has lower integrity than agent requires. Agent would need to drop integrity tags [unapproved:all approved:all] to trust this resource.
• build(deps): bump google-cloud-aiplatform from 1.147.0 to 1.149.0 in the google-cloud group across 1 directory #315 pull_request_read: has lower integrity than agent requires. Agent would need to drop integrity tags [approved:all unapproved:all] to trust this resource.
• #240 list_pull_requests: has lower integrity than agent requires. Agent would need to drop integrity tags [approved:all] to trust this resource.

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[dependabot]

Looks like google-cloud-aiplatform is updatable in another way, so this is no longer needed.