chore(deps): update python-nonmajor

[renovate-bot]

This PR contains the following updates:

Package	Change	Age	Confidence
cloud-sql-python-connector (changelog)	==1.18.2 -> ==1.18.4
google-cloud-aiplatform	==1.97.0 -> ==1.109.0
langchain-google-cloud-sql-pg (changelog)	==0.14.0 -> ==0.14.1
langchain-google-vertexai	==2.0.27 -> ==2.0.28
langgraph	==0.6.0 -> ==0.6.5
mypy (changelog)	==1.15.0 -> ==1.17.1
numpy (changelog)	==2.0.2 -> ==2.3.2
numpy (changelog)	==2.2.6 -> ==2.3.2
numpy (changelog)	==2.3.1 -> ==2.3.2
numpy (changelog)	>=1.24.4, <=2.0.2 -> >=2.3.2, <=2.3.2
numpy (changelog)	>=1.24.4, <=2.2.6 -> >=2.3.2, <=2.3.2

---

Release Notes

GoogleCloudPlatform/cloud-sql-python-connector (cloud-sql-python-connector)

v1.18.4

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Bug Fixes

• bump dependencies to latest (#​1317) (6ebfac6)

v1.18.3

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Bug Fixes

• suppress lint check for _scopes property (#​1308) (821245c)

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

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)

googleapis/langchain-google-cloud-sql-pg-python (langchain-google-cloud-sql-pg)

v0.14.1

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Bug Fixes

• Add support for a metadata column named id (#​302) (ceffc44)

langchain-ai/langgraph (langgraph)

v0.6.5

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Changes since 0.6.4

• release(langgraph): 0.6.5 (#​5901)
• fix: Persist resume_map values (#​5898)
• feat(langgraph): implement redis node level cache (#​5834)

v0.6.4

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Changes since 0.6.3

• release: langgraph + prebuilt 0.6.4 (#​5854)
• fix: mypy issue with conditional edges (#​5851)
• fix(langgraph): support emitting messages from subgraphs when messages mode explicitly requested (#​5836)
• perf(langgraph): Save updated_channels to checkpoint (#​5828)
• chore(langgraph): deprecate MessageGraph (#​5843)

v0.6.3

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Changes since 0.6.2

• fix(langgraph): Tidy up AgentState (#​5801)
• release: langgraph + prebuilt 0.6.3 (#​5799)
• fix(langgraph): Add warning for incorrect node signature with mistyped config param (#​5798)
• fix(langgraph): fix up deprecation warnings (#​5796)
• feat(langgraph): add durability mode for invoke and ainvoke (#​5771)
• fix(docs): Add missing imports to make examples runnable (#​5477)
• fix(langgraph): Remove duplicate call to ensure_config (#​5768)

v0.6.2

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Changes since 0.6.1

• fix(prebuilt): assign context_schema to config_schema with correct condition (#​5746)
• feat(langgraph): Add context coercion for LangGraph runtime (#​5736)

v0.6.1

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Changes since 0.6.0

• fix(langgraph): use parent runtime when available (#​5707)
• fix(langgraph): inject config even when optional (#​5708)

python/mypy (mypy)

v1.17.1

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• Retain None as constraints bottom if no bottoms were provided (Stanislav Terliakov, PR 19485)
• Fix "ignored exception in hasattr" in dmypy (Stanislav Terliakov, PR 19428)
• Prevent a crash when InitVar is redefined with a method in a subclass (Stanislav Terliakov, PR 19453)

v1.17.0

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v1.16.1

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v1.16.0

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numpy/numpy (numpy)

v2.3.2: (Jul 24, 2025)

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NumPy 2.3.2 Release Notes

The NumPy 2.3.2 release is a patch release with a number of bug fixes
and maintenance updates. The highlights are:

• Wheels for Python 3.14.0rc1
• PyPy updated to the latest stable release
• OpenBLAS updated to 0.3.30

This release supports Python versions 3.11-3.14

Contributors

A total of 9 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.

• !DWesl
• Charles Harris
• Joren Hammudoglu
• Maanas Arora
• Marco Edward Gorelli
• Matti Picus
• Nathan Goldbaum
• Sebastian Berg
• kostayScr +

Pull requests merged

A total of 16 pull requests were merged for this release.

• #​29256: MAINT: Prepare 2.3.x for further development
• #​29283: TYP: Work around a mypy issue with bool arrays (#​29248)
• #​29284: BUG: fix fencepost error in StringDType internals
• #​29287: BUG: handle case in mapiter where descriptors might get replaced...
• #​29350: BUG: Fix shape error path in array-interface
• #​29412: BUG: Allow reading non-npy files in npz and add test
• #​29413: TST: Avoid uninitialized values in test (#​29341)
• #​29414: BUG: Fix reference leakage for output arrays in reduction functions
• #​29415: BUG: fix casting issue in center, ljust, rjust, and zfill (#​29369)
• #​29416: TYP: Fix overloads in np.char.array and np.char.asarray...
• #​29417: BUG: Any dtype should call square on arr \*\* 2 (#​29392)
• #​29424: MAINT: use a stable pypy release in CI
• #​29425: MAINT: Support python 314rc1
• #​29429: MAINT: Update highway to match main.
• #​29430: BLD: use github to build macos-arm64 wheels with OpenBLAS and...
• #​29437: BUG: fix datetime/timedelta hash memory leak (#​29411)

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</details>

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