fix(deps): Update dependency google-cloud-aiplatform to v1.77.0

[renovate-bot]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
google-cloud-aiplatform	==1.51.0 -> ==1.77.0

---

Release Notes

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

v1.77.0

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Features

• Add Context Cache to v1 (2148b18)
• Add retrieval_config to ToolConfig v1 (2148b18)
• Add retrieval_config to ToolConfig v1beta1 (2148b18)
• Display button to view evaluation results in an Ipython environment. (30a9403)
• Enable LangGraph Agent Templates in the Python Reasoning Engine Client (26a08c7)
• Promote network_configs field to v2 API (2148b18)

Bug Fixes

• Use typing.TYPE_CHECKING to differentiate pytype checks and runtime imports for pydantic. (0823323)

Documentation

• Fix comment typo in eval_task.py (cabe522)
• Improve description of enable_simple_view parameter (f019e18)

v1.76.0

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Features

• Add a new thought field in content proto (67358fa)
• Add Model Garden deploy API (67358fa)
• Add required_replica to Vertex SDK (f5ddbb8)
• Update v1beta1 sdk to support llmparser in import file functions (1eb493b)
• Use TypeAliasType to define aliases for union types in generative models (2224c83)

Bug Fixes

• Caching - Fixed an edge case where the contents arg could be None (ede0266)
• Catch runtime errors in the import of TypeAliasType from typing_extensions (8497476)
• EvalTask evaluation should only display experiment button once for ipython environments (88d2656)

Documentation

• A comment for field labels in message .google.cloud.aiplatform.v1beta1.PublisherModel is changed (67358fa)
• Add latest_stats_count to get_feature in FeatureGroup. (15bfb54)

v1.75.0

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Features

• A new field list_all_versions to ListPublisherModelsRequest (4b7799b)
• A new value NVIDIA_H100_MEGA_80GB is added to enum AcceleratorType (4b7799b)
• Add new RequiredReplicaCount field to DedicatedResources in MachineResources (4b7799b)
• Add new Status field to DeployedModel in Endpoint (4b7799b)
• Add new Status field to DeployedModel in Endpoint (4b7799b)
• Add properties feature_stats_and_anomalies to FeatureMonitorJob (92feb60)
• Add service renaming to GoSettings (4b7799b)
• Add support for opt-in debug logging (#​4734) (4b7799b)
• Add workbench_runtime and kernel_name to NotebookExecutionJob (4b7799b)
• Add workbench_runtime and kernel_name to NotebookExecutionJob (4b7799b)
• Feature Store - Support returning stats in get feature (9a12097)
• GenAI - Added support for GenerationConfig.response_modalities (78898fc)
• Support stream_query in LangChain Agent Templates in the Python Reasoning Engine Client (99f613b)
• Support streaming in the Reasoning Engine Python client. (a604a2e)

Bug Fixes

• RAG - Fix the uri used for upload_file (05f27b6)
• Rag - fix upload file environment mismatch (b9fecea)

Documentation

• A comment for field encryption_spec in message .google.cloud.aiplatform.v1.NotebookExecutionJob is changed (4b7799b)
• A comment for field encryption_spec in message .google.cloud.aiplatform.v1beta1.NotebookExecutionJob is changed (4b7799b)

v1.74.0

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Features

• Add browse pre-built metrics button for Ipython environments when listing example metrics for Gen AI Evaluation (58ba55e)
• Add compatibility for RagRetrievalConfig in rag_store and rag_retrieval (c52e3e4)
• Add deprecation warnings for use of similarity_top_k, vector_search_alpha, and vector_distance_threshold in retrieval_query, use RagRetrievalConfig instead. (c52e3e4)
• Add FeatureMonitorJob Create,Get,List in Vertex AI SDK (03eb735)
• Add List FeatureMonitor function to FeatureGroup in Vertex AI SDK (21bc83b)
• Add sdk support to inference timeout on cloud-based endpoints (dedicated or PSC). (f917269)
• Add support for Document AI Layout Parser as a RAG import option (565c800)
• Add support for ranking field in rag_retrieval_config for rag_store creation. (6faa1d0)
• Add vector_similarity_threshold support within RagRetrievalConfig in rag_store and rag_retrieval GA and preview versions (9402b3d)
• Add Vertex RAG service proto to v1 (a56e4dd)
• Adding Vertex AI Search Config for RAG corpuses to SDK (d3d69d6)
• Fix file type mismatch in uploading eval results to GCS, supported types: CSV, JSON. (905c766)
• GenAI - Grounding - Released VertexAiSearch and Retrieval to GA (0537fec)
• GenAI - Release the Prompt Management feature to Public Preview (7432c2c)
• GenAI - Support FunctionDeclaration.response schema (4288fec)
• GenAI - Tuning - Added support for BYOSA (7cbda03)
• Refactor rag_store and rag_retrieval to use v1 protos (dfe6d6c)
• Support multi-methods in SDK. (f02692d)
• Support NFS for Ray cluster creation (1ca9a05)
• Support RagFileTransformationConfig in upload_file function in V1 sdk (88ac48c)
• Update v1 sdk to use new RagCorpus, RagVectorDbConfig, & RagEmbeddingModelConfig proto (47a5a6d)
• Update v1 sdk to use new RagFileTransformationConfig proto (c23c62d)
• Update v1beta1 sdk for RagFileTransformationConfig and Ranking protos (ffe3230)
• Update v1beta1 sdk for RagVectorDbConfig & RagCorpus protos. Backward compatible with older fields. (216a30f)

Bug Fixes

• get_default_run method in Experiment class (9388fc9)
• Add MatchingEngineIndexConfig enums to proto value converters (e6d3df8)
• RAG Fix v1 rag_store compatibility with generative_models Tool by changing back to v1beta1 (e220312)
• Remove redundant progress bar update commands within runnable inference (598c931)
• Update upperbounds on pydantic version to < 2.10 to mitigate version comparison checks (c13b6a8)

Documentation

• A comment for field api_key_config in message .google.cloud.aiplatform.v1beta1.JiraSource is changed (d7dff72)
• A comment for field class_method in message .google.cloud.aiplatform.v1beta1.StreamQueryReasoningEngineRequest is changed (from steam_query to stream_query) (b7f9492)
• Updated example usage in docstring for rag_retrieval preview and GA (a1f8bc2)
• Updated example usage in docstring for rag_store preview and GA (a1f8bc2)

v1.73.0

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Features

• Add a nfs_mounts to RaySpec in PersistentResource API (6a22bef)
• Add a v1 UpdateEndpointLongRunning API (6a22bef)
• Add BatchCreateFeatures rpc to feature_registry_service.proto (68fc5f2)
• Add BYOSA field to tuning_job (68fc5f2)
• Add BYOSA field to tuning_job (68fc5f2)
• Add COMET and MetricX to the evaluation SDK (4135810)
• Add Create FeatureMonitor function to FeatureGroup in Vertex AI SDK (285ec2c)
• Add CustomEnvironmentSpec to NotebookExecutionJob (6a22bef)
• Add CustomEnvironmentSpec to NotebookExecutionJob (6a22bef)
• Add default_runtime in Vertex Pipeline SDK preview. (44587ec)
• Add fast_tryout_enabled to FasterDeploymentConfig v1 proto (68fc5f2)
• Add FeatureMonitor to FeatureGroup in Vertex AI SDK (f2233ce)
• Add PSC automation support to matching engine index endpoint deploy_index(), find_neighbors(), match(), and read_index_datapoints(). (3ab39a4)
• Add vertex_rag_source to create_feature_view method (ca61c5a)
• Adding fast_tryout_enabled option to Vertex SDK (fde1b96)
• Allow setting Vertex Model Garden source model name during model upload (3af9cc8)
• Allow user control which class methods to export via register_operations. The class methods spec will be changed according to user's register_operations. (74077b5)
• COMET added to evaluation service proto (68fc5f2)
• Expose system_labels field to model deployment APIs in Vertex public preview SDK (13cede4)
• Expose system_labels field to model deployment APIs in Vertex Python SDK (75655af)
• GenAI - Grounding - Added grounding dynamic_retrieval config to Vertex SDK (c39334a)
• GenAI Evaluation: Release GenAI Evaluation SDK Agent Evaluation features to vertexai.preview module. (41cd5a8)
• MetricX added to evaluation service proto (68fc5f2)
• Trajectory eval metrics added to evaluation service proto (6a22bef)
• Vision Models - Add support for Imagen 3 Capabilities to Vertex SDK (9a30c31)

Bug Fixes

• GenAI - Fixed GAPIC-renamed keys (keys with trailing underscore) in structures returned by the to_dict methods. (9d00424)
• Implementation of proto conversion in reasoning engine utils when message is not specified (99fafe9)
• Remove check on serving_container_image_uri when artifact_uri and local_model is given (ccd89b4)

Documentation

• Automatic Function calling comment update (91f85ac)
• Clarity and typo fixes for documentation (6a22bef)
• Fix example rpc naming (6a22bef)
• GenAI - Grounding - Added sample for grounding with Google Search to the Vertex GenAI SDK README. (4bf9816)

v1.72.0

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Features

• Add AdvancedCompleteQuery API (169dd44)
• Add BatchCreateFeatures rpc to feature_registry_service.proto (acf3113)
• Add BillingEstimation in data store (169dd44)
• Add code execution tool API (169dd44)
• Add fast_tryout_enabled to FasterDeploymentConfig message in aiplatform v1beta1 endpoint.proto (169dd44)
• Add Feature Monitoring API to Feature Store (acf3113)
• Add field protobuf_pythonic_types_enabled to message ExperimentalFeatures (acf3113)
• Add GroundedGenerationService API (169dd44)
• Add lite search API to allow public website search with API key (169dd44)
• Add new PscInterfaceConfig field to custom_job.proto (169dd44)
• Add one_box_page_size on search (169dd44)
• Add Sitemap APIs to preview channel (169dd44)
• Add StopNotebookRuntime method (169dd44)
• Add StopNotebookRuntime method (169dd44)
• Add system labels field to model garden deployments (acf3113)
• Add UpdateEndpointLongRunning API in v1beta1 version (169dd44)
• Adding fast_tryout_enabled option to Vertex public preview SDK (98288b8)
• Increase the upperbounds on langchain dependencies to support v0.3+ (1fca9c0)
• Support advanced boost search (169dd44)
• Support Google Workspace search (169dd44)
• Support natural language understanding search (169dd44)
• Support query regex in control match rules (169dd44)
• Support search personalization to preview channel (169dd44)

Bug Fixes

• Add timeout to prediction rawPredict/streamRawPredict (b7de16a)
• Convert float values with no decimals to integers in FunctionCall. (a1857ed)
• Deepcopy error from baseline_model in pairwiseMetric (ccc5c85)

Documentation

• A comment for field feature_group_id in message .google.cloud.aiplatform.v1.CreateFeatureGroupRequest is changed (acf3113)
• A comment for field unit in message .google.api.QuotaLimit is changed (acf3113)
• A comment for message BatchCreateFeaturesRequest is modified to call out BatchCreateFeatures (acf3113)
• Deprecate asynchronous mode in answer generation (169dd44)
• Deprecate extractive_answers in answer generation (169dd44)
• Keep the API doc up-to-date with recent changes (169dd44)
• samples: Fixed Vertex AI Vector Search Create Index index_update_method (7dff586)
• Update documentation (169dd44)
• Update feature creation message commentary (acf3113)

v1.71.1

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Bug Fixes

• Audio_timestamp is supported only for some of the models (df7269e)
• Ignore AttributeError exception when importing google.auth.aio (832fe60)
• System test case media input file non existent (c0718e1)

v1.71.0

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Features

• Add text field for Grounding metadata support chunk output (8a65b1d)
• Add audio_timestamp to GenerationConfig (8a65b1d)
• Add private async REST support for transport override (c0b31e2)
• Add support for self-signed JWT for queries on private endpoints (5025d03)
• Add support for task type (CODE_RETRIEVAL_QUERY) through get_embeddings. (7246497)
• From vertexai.batch_prediction import BatchPredictionJob (fe53922)
• GenAI - add labels (92c13dd)
• GenAI - Added audio_timestamp to GenerationConfig. (91c2120)
• GenAI - Added Anthropic models support in GenAI batch prediction (0866009)
• GenAI - Tuning - Added support for tuned model rebasing. Added rebase_tuned_model to vertexai.preview.tuning.sft. (2cef97f)
• Introduce DefaultRuntime to PipelineJob (8a65b1d)
• Release API key support for GenerateContent to Public Preview (a4d4e46)
• Support customizing bring-your-own-response eval use case to use any columns (3e7bf81)
• Support PSC-I ingress in Ray Client (da76253)
• Support tuning new text & code embedding model in LLM SDK. (4268f28)
• Update Experiment run names to be compatible with One Platform API (c4b9ec2)
• Vision Models - onboard Image Segmentation. (ae63a43)

Bug Fixes

• Add deprecation warning to Ray version 2.9.3 (0ce106b)

Documentation

• A comment for field partner_model_tuning_spec in message .google.cloud.aiplatform.v1beta1.TuningJob is changed (#​4538) (914c63c)
• Comment update (b04196b)
• Update the documentation for the tabular_dataset class (82bb938)

v1.70.0

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Features

• Add a dynamic retrieval API (44df243)
• Add enable_secure_private_service_connect in service attachment (44df243)
• Add new PscInterfaceConfig field to pipeline_job.proto (44df243)
• Add psc_automation_configs to DeployIndex v1 (44df243)
• Add TunedModelRef and RebaseTunedModel Api for Vertex GenAiTuningService (44df243)
• Add TunedModelRef and RebaseTunedModel Api for Vertex GenAiTuningService (44df243)
• Add update_corpus method for vertex rag (09353cf)
• Automatically end Experiment runs when Tensorboard CustomJob is complete (30cf221)
• Vision Models - Add new safety filter levels to Vertex AI Image Generation API. (b1d5007)

Bug Fixes

• Annotate PipelineJob and PipelineTaskRerunConfig fields as optional (44df243)
• Update the docstring for LangchainAgent (f7fe2b0)

Documentation

• Add sample to retrieve experiment backing tensorboard resource name (138dc1a)
• GenAI - update comments in GenerationConfig property (c670eeb)
• Limit comment SupervisedTuningSpec for 1p tuning (44df243)

v1.69.0

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Features

• Add rerun method to pipeline job preview client. (29dec74)

Bug Fixes

• GenAI - Fixed from_dict methods (3090812)

v1.68.0

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Features

• A new field response_logprbs is added to message .google.cloud.aiplatform.v1.GenerationConfig (#​4410) (470933f)
• Add support for partial failures sink in import rag files. (8070411)
• Add support for SharePoint as a ImportRagFiles source. (f89df1f)
• Adding Vertex Vector Search Vector DB option for RAG corpuses to SDK (d4193f2)
• Batch_predict method generally-available at TextEmbeddingModel. (73c0dae)
• GenAI - Add model routing config to sdk (c0626fe)
• GenAI - Add support for logprobs and response_logprobs. (7acf0f7)

Bug Fixes

• Fix rag corpus creation error (d25edce)
• Fix typo in eval_task docstring (86fc215)
• Fix typos in evaluation example metric prompt templates. (5f4d586)
• GenAI - Fixed GenerativeModel.compute_tokens for v1 API (4637b4c)
• Tensorboard - Fix error in tensorboard batch upload of nested dirs (86be328)

Documentation

• Update Gemini docs (c561aa6)
• Update Gemini docs (2b84142)

v1.67.1

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Bug Fixes

• Fix rag corpus creation error (6083b93)

v1.67.0

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Features

• Add support for partial failures sink in import rag files. (07e471e)
• Adding Feature Store Vector DB option for RAG corpuses to SDK (cfc3421)
• Adding Pinecone Vector DB option for RAG corpuses to SDK (f78b953)
• Adding Vertex Vector Search Vector DB option for RAG corpuses to SDK (f882657)
• Allow customizing pipeline caching options for model evaluation jobs. (73490b2)
• GenAI - Switched the GA version of the generative_models classes to use the v1 service APIs instead of v1beta1 (66d84af)

Bug Fixes

• GenAI - Fixed GenerativeModel.compute_tokens for v1 API (0de2987)
• Tensorboard - Fix error in tensorboard batch upload of nested dirs (ab157c8)

Documentation

• Manually add summary overview page. (0bc608a)

v1.66.0

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Features

• Add max_wait_duration option to custom jobs. (ee65917)
• Add Ray 2.33 support to SDK Client Builder, remove deprecated protocol_version from ray client context. (708a67b)
• Add support for version 2.33 for RoV Bigquery read/write, remove dead code from version 2.4 (a4b6c60)
• Update Ray system tests to be compatible with new RoV 2.33 changes (8c7bf27)
• Update setup.py for including Ray v2.33, restrict RoV prediction to 2.9.3 for now (71c6f3c)

Bug Fixes

• Identify nested Vertex Tensorboard profile runs for uploading when standard event data is not present (0a08027)
• Move region tag to include imports (6d1f7fd)
• Move region tag to include imports (#​4357) (6d1f7fd)
• Rollback change to tensorboard uploader causing increased latency (879dbcd)

Documentation

• Update SDK Job Submission with Ray v2.33 updated comments (7fda11f)

v1.65.0

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⚠ BREAKING CHANGES

• Tokenization - Deprecated ComputeTokenResult.token_info_list in favor of ComputeTokenResult.tokens_info

Features

• Add support for system instruction and tools in tokenization. (72fcc06)
• Add vector search alpha to rag retrieval for hybrid search ranking (6624ebe)
• Adding Weaviate Vector DB option for RAG corpuses to SDK (9b28202)
• GenAI - Added system_instruction and tools support to GenerativeModel.count_tokens (50fca69)
• GenAI - Added Llama3 support in GenAI batch prediction (6166152)
• PrivateEndpoint.stream_raw_predict (197f333)
• Support reserved_ip_ranges for VPC network in Ray on Vertex cluster (36a56b9)
• Tokenization - Deprecated ComputeTokenResult.token_info_list in favor of ComputeTokenResult.tokens_info (efbcb54)

Bug Fixes

• Tensorboard - Fixed bug in tensorboard uploader where profile logs are not uploaded from nested run directories. (37627de)
• Tokenizers - Fixed Tokenizer.compute_tokens (c29fa5d)

v1.64.0

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Features

• Endpoint - Add support for Prediction dedicated endpoint. predict/rawPredict/streamRawPredict can use dedicated DNS to access the dedicated endpoint. (3d68777)
• GenAI - Added the model Distillation feature (private preview) (a0d4ff2)
• Grounding - Allow initialization of grounding.VertexAISearch with full resource name or data store ID, project ID, and location. (f334321)
• Evaluation - Make Rouge class available in base level init (aed82a1)
• Feature Store - Read for online store w/private service connect (7af80c6)
• Ray - Support autoscaling in Ray on Vertex (961da42)

Bug Fixes

• Fix error in tensorboard uploader thrown when time_series_id is None (d59a052)
• Evaluation - Fix typo in prompt templates: (c8fa7a8)

Documentation

• samples: Adding code sample for vector search create streaming index (71464e7)

v1.63.0

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Features

• A new field satisfies_pzs is added to message .google.cloud.aiplatform.v1.BatchPredictionJob (#​4192) (6919037)
• Add advanced PDF parsing option for RAG file import (6e1dc06)
• Add multithreading for custom metric computation. (2c93fc1)
• Add progress bar for generating inference. (b78714f)
• Add progress bar to custom metrics. (3974aec)
• Add Prompt class support for configs and Prompt.generate_content wrapper (7f1e031)
• GenAI - Added seed parameter to the GenerationConfig class (9f1e073)
• GenAI - Added the Candidate.avg_logprobs property (de80695)
• GenAI - Released the Prompt feature to Public Preview (64eeab8)
• GenAI Evaluation: Add generic model-based PointwiseMetric and PairwiseMetric classes that allow customizing metric prompt templates. Add PointwiseMetricPromptTemplate, PairwiseMetricPromptTemplate classes to help formulate and customize metric prompt templates. Add metric_column_mapping parameter to EvalTask for metric prompt template input variable name mapping. (fd38b49)
• GenAI Evaluation: Open source model-based metric prompt template examples for Gemini 1.5 Pro autorater. Add MetricPromptTemplateExamples class to help retrieve model-based metric prompt templates. (fd38b49)
• GenAI Evaluation: Release GenAI Evaluation SDK GA features to vertexai.preview module. (fd38b49)
• Publish GenAI Evaluation SDK GA features to vertexai.evaluation module. Switch GenAI Evaluation Service client to v1 version. (45e4251)

Bug Fixes

• Add support of display_name to create_cached_content in python SDK (ecc2d54)
• Always upload the pickled object and dependencies tarball when creating ReasoningEngine (34ef5a3)
• Remove grouding attribution (f6ece65)

Documentation

• Update Prompt docstring for batch prompting (e96b6e6)

v1.62.0

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Features

• Add metadata to evaluation result. (375095e)
• Add Prompt class for multimodal prompt templating (1bdc235)
• Add support for query method in Vertex AI Extension SDK (0008735)
• Add support for reservation affinity in custom training jobs. (802609b)
• Add support for strategy in custom training jobs. (a076191)
• Adding spot, reservation_affinity to Vertex SDK (3e785bd)
• Support api keys in initializer and create_client (7404f67)
• Support creating optimized online store with private service connect (659ba3f)
• Support disable Cloud logging in Ray on Vertex (accaa97)
• Support PSC-Interface in Ray on Vertex (accaa97)

Bug Fixes

• Added credentials, project, and location on PipelineJobSchedule init (281c171)
• Avoid breakage of langchain from orjson 3.10.7 (c990f73)
• Deprecate disable_attribution in GoogleSearchRetrieval. (c68d559)

Documentation

• Update the docstring for compute_tokens method. (849e8d4)

v1.61.0

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Features

• Add a warning message for scheduled deprecation of Coherence metric class (7f238fb)
• Add deprecation messages for all model-based metric classes (71c0fd3)
• Add support for task type (CODE_RETRIEVAL_QUERY) through get_embeddings. (f2ce1e4)
• Add system_instruction to LangchainAgent template. (c71c3dd)
• Adding Slack and Jira data connector for RAG to SDK (d92e7c9)
• Allow protobuf 5.x (ce9cd5d)
• LVM - Release ImageGenerationModel to GA (718c199)
• Support "update" for reasoning engine. (b73ef3e)
• Update Rapid Evaluation Service QPS. Add a customizable evaluation service QPS parameter. (9ee9289)

Documentation

• Change init sample to use vertexai (829e0f6)
• Make small fixes to file import documentation (f7d65c3)

v1.60.0

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Features

• Add preflight validations to PipelineJob submit and run methods. (c5a3535)
• Add support for langchain v0.2+ package versions in default installation (259b638)
• GenAI - Added tokenization support via GenerativeModel.compute_tokens (cfe0cc6)
• GenAI - ContextCaching - allow from_cached_content to take the cached_content resource name (8f53902)
• Make count_tokens generally-available at TextEmbeddingModel. (efb8413)

Bug Fixes

• Avoid throw error when Part.text is empty in modality content checks (bbd4a49)
• Correct logit_bias type annotation to accept keys as strings (2676d25)
• Create FV embedding dimensions sample - dimensions should be an int (2aa221e)
• Fix the sync option for Model Monitor job creation (22151e2)
• Include DeploymentResourcePool class in aiplatform top-level sdk module ([ecc4f09](https://redirect.github.com/googleapis/python-aiplatform/commit

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