Update dependency google-cloud-aiplatform to v1.62.0

[renovate-bot]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
google-cloud-aiplatform	==1.13.1 -> ==1.62.0

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Release Notes

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

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)
• Overriding the current TracerProvider when enabling tracing (1476c10)
• Pass the project ID from vertexai.init to CloudTraceSpanExporter when enable_tracing=True for LangchainAgent (3ec043e)

Documentation

• GenAI - Update README.md for Vertex Generative AI SDK for Python to add subsections to the right nav. (42af742)

v1.59.0

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Features

• Add model and contents fields to ComputeTokensRequest v1 (f6e7b9c)
• Add model and contents fields to ComputeTokensRequest v1beta1 (f6e7b9c)
• Add role field to TokensInfo v1 (f6e7b9c)
• Add role field to TokensInfo v1beta1 (f6e7b9c)
• GenAI - Tuning - Released the Supervised Fine Tuning feature o GA (ae47639)

Bug Fixes

• deps: Require proto-plus 1.22.3 (4131e65)
• Offline store - set application name + remove session param (7395665)

v1.58.0

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Features

• Add deploy_metadata to PublisherModel.Deploy v1 (71e41c8)
• Add deploy_metadata to PublisherModel.Deploy v1beta1 (b5c3cdd)
• Add display tuning job button for Ipython environments when getting an existing job (872b455)
• Add private_service_connect_config and service_attachment fields to DedicatedServingEndpoint v1 (71e41c8)
• Add satisfies_pzs and satisfies_pzi fields to Model v1 (71e41c8)
• Add satisfies_pzs and satisfies_pzi fields to Model v1beta1 (b5c3cdd)
• Add satisfies_pzs and satisfies_pzi fields to Tensorboard v1 (71e41c8)
• Add satisfies_pzs and satisfies_pzi fields to Tensorboard v1beta1 (b5c3cdd)
• Add UpdateDeploymentResourcePool method to DeploymentResourcePoolService v1 (71e41c8)
• Add UpdateDeploymentResourcePool method to DeploymentResourcePoolService v1beta1 (b5c3cdd)
• Add use_effective_order field to BleuSpec v1beta1 (b5c3cdd)
• GenAI - Evaluation - Add a progress bar for evaluation service requests (bbffb0d)
• GenAI - Evaluation - Implement rate limiter and refactor parallelization for online evaluation service requests (bbffb0d)
• GenAI - Evaluation - Return partial evaluation results with error logging (bbffb0d)
• Migrate DeploymentResourcePool and associated functionality to V1 namespace for GA launch of model co-hosting. (1474d98)

Bug Fixes

• IndexConfig - use TreeAhConfig as default algorithm_config. (341d287)
• LVM - Update Video.load_from_file() to support storage.googleapis.com links (b63f960)

Documentation

• Update comments of AutoscalingSpec v1 (71e41c8)
• Update comments of AutoscalingSpec v1beta1 (b5c3cdd)
• Update import paths for Gemini README (46b3042)

v1.57.0

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Features

• Add _ModelBasedMetric base class to vertexai.preview.evaluation.metrics and allow metric spec customization (536f1d5)
• Add _AutomaticMetric type and support customizing metric spec for automatic pointwise metrics. Add Rouge metric to vertexai.preview.evaluation.metrics (f6b6dee)
• Add 12 model-based pointwise metric classes to vertexai.preview.evaluation.metrics (4742a87)
• Add display tuning job button for Ipython environments when starting a new job (b1e9a6c)
• Add encryption_spec to TuningJob (5a6ce78)
• Add enum value MALFORMED_FUNCTION_CALL to .google.cloud.aiplatform.v1beta1.content.Candidate.FinishReason (5a6ce78)
• Add fields grounding_chunks and grounding_supports to GroundingMetadata (5a6ce78)
• Add MALFORMED_FUNCTION_CALL to FinishReason (5a6ce78)
• Add preflight_validations to PipelineJob (5a6ce78)
• Add streamRawPredict rpc to prediction service (5a6ce78)
• Add support for hybrid queries for private endpoint in Matching Engine Index Endpoint. (ce65eab)
• Add text field in Segment (5a6ce78)
• Change the icon for the model evaluation link to a lightbulb for ipython environments (7dad7f0)
• Endpoint.direct_predict (9351e1a)
• Endpoint.direct_predict_async (9351e1a)
• Endpoint.direct_raw_predict (9351e1a)
• Endpoint.direct_raw_predict_async (9351e1a)
• Endpoint.stream_direct_predict (9351e1a)
• Endpoint.stream_direct_raw_predict (9351e1a)
• Endpoint.stream_raw_predict (9351e1a)
• Expose new text embedding tuning parameters in GA namespace. (249a5fa)
• GenAI - Batch Prediction - Added support for tuned GenAI models (a90ee8d)
• Mark default profile run as complete when calling end_upload_tb_log (6397f30)
• Sample code for Vertex AI Feature Store (2c28b4e)
• Sample code for Vertex AI Feature Store (2fbf5a5)
• Tokenization - Added count_tokens support for local tokenization (a8a4c30)
• Update rich html Ray on Vertex Client Context widget (380c9d9)

Bug Fixes

• FeatureGroup.create() - remove unused entity id column param (c46f3e9)
• Fix bug where retry_timeout does not work with evaluation with experiments (a31ac4d)
• Use default run_name in Tensorboard uploader for direct directory upload. (78a92a1)

Documentation

• A comment for field distibution in message .google.cloud.aiplatform.v1beta1.model_monitoring_stats.ModelMonitoringStatsDataPoint is changed. (5a6ce78)
• A comment for field name in message .google.cloud.aiplatform.v1beta1.cached_content.CachedContent is changed (5a6ce78)
• A comment for field source in message .google.cloud.aiplatform.v1beta1.tool.Retrieval is added. (5a6ce78)
• Update the documentation for the time_series_dataset and video_dataset classes (2cf4cb9)

v1.56.0

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Features

• Add retry_timeout to EvalTask in vertexai.preview.evaluation (4d9ee9d)
• Add hybrid query example to vector search sample. (510da5e)
• Add metric classes for 2 pairwise metrics for rapid evaluation SDK. (831c8e4)
• Add pipeline_job_name to allow PipelineJob.get(pipeline_job_name) (32e3b22)
• Add sample code show how to create an optimized private online store in Vertex AI Feature Store. (e352175)
• GenAI - Context Caching - add get() classmethod and refresh() instance method (6be874a)
• GenAI - Context Caching - also print model_name and expire_time. (d548c11)
• GenAI - Tuning - Added support for CMEK (eb651bc)

Bug Fixes

• Do not reset aiplatform.Experiment or aiplatform.ExperimentRun unnecessarily when running tensorboard uploader. (28a091a)

Documentation

• Update the documentation for the time_series_dataset and video_dataset classes (d5dc7b5)

v1.55.0

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Features

• view model evaluations when AustoSxS pipeline completes (17c59c4c2)
• Add support for user-configurable 1P embedding models and quota for RAG (8b3beb666)
• Add Webpage Browser Extension to Vertex AI Extension SDK (c222f4bdb)
• Add enable_tracing to LangchainAgent. (cad035cb3)
• Implement multithreaded batch inference in Rapid Evaluation SDK for performance improvement (3c6d1732b)

Bug Fixes

• support VPC and BYOSA case in Ray on Vertex JobSubmissionClient using cluster resource name (662d039c9)
• Include tensorboard profiler requirements when installing google-cloud-aiplatform[tensorboard] (4f1b5593b)
• fix numerical NaN experiment run logging error in EvalTask. (641faec0b)
• Generate uuid run_name when run_name_prefix is not specified. (4e2d87f9a)

Documentation

• Update the documentation for the image_dataset class (583cb9313)
• Include imports in experiment_tracking samples directly in cloud.google.com snippets. (3ffb6cba7)

v1.54.1

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Bug Fixes

• _append_tool_name list index out of range (#​3914) (323c2f5)

v1.54.0

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BREAKING CHANGES

• Remove Vertex SDK data science package (ec4ec8f)

Features

• Add display experiment run button for Ipython environments (ba65828)
• Add hybrid search for public find_neighbors() call. (9d35617)
• Enable Ray Job submission without VPC peering (37875b5)
• GenAI - Allowed callable functions to return values directly in Automatic Function Calling (768af67)
• GenAI - Release ToolConfig to GA (bc8b14a)
• Sample code for Vertex AI Feature Store (6c14e8b)
• Support VertexTool in langchain template. (28a3c56)

Bug Fixes

• Allow non-lro delete method (c23c0ad)
• Deep copy dataset before passing it to evaluation (019b610)
• Ensure model starts with publishers/ when users provide resource path from models/ (d689331)
• Fix failed unit tests due to google-cloud-storage upgrade. (945b9e4)
• Generalize RAG files import from Google Drive (88c6a6a)
• Set upper bound of setuptools to unbreak public Colab for using vertex_ray namespace (6cc45bb)

v1.53.0

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Features

• Add a cloneable protocol for Reasoning Engine. (8960a80)
• Add labels parameter to the supervised tuning train method (f7c5567)
• Added reboot command for PersistentResource (7785f8c)
• Added the new GenerationConfig.response_schema field (#​3772) (5436d88)
• Enable Tensorboard profile plugin in all regions by default. (8a4a41a)
• GenAI - Added the response_schema parameter to the GenerationConfig class (b5e2c02)
• LLM - Added the seed parameter to the TextGenerationModel's predict methods (cb2f4aa)

Bug Fixes

• Create run_name when run_name_prefix is not specified for Tensorboard uploader. (ac17d87)
• GenAI - Tuning - Supervised - Fix adapter_size parameter handling to match enum values. (1cc22c3)
• Model Monitor console uri. (71fbc81)

v1.52.0

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Features

• Add FeatureGroup delete (f9011e0)
• Add support for ToolConfig in the LangChain template (9bda328)
• Create Vertex Experiment when uploading Tensorboard logs (339f8b6)
• GenAI - Add BatchPredictionJob for GenAI models (df4a4f2)
• GenAI - Add cancel, delete, list methods in BatchPredictionJob (7ff8071)
• GenAI - Added the BatchPredictionJob.submit method (4d091c6)
• Private Endpoints - Added private service connect support to prediction endpoint. (6bdcfb3)

Bug Fixes

• Add validation for evaluation dataset fields, update logging info for eval api request count (d6ef500)
• Fix feature attribution drift visualization for model monitoring SDK (710f33d)
• Fix the default value of response_column_name in EvalTask.evaluate() (98f9b35)
• Update get_experiment_df to pass Experiment and allow empty metrics. (de5d0f3)

Documentation

• Add Vertex Model Monitoring V2 SDK documentation (b47e6ff)
• Update docstrings for rapid evaluation library. (d6d371d)

v1.51.0

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Features

• Add FeatureGroup create function (3938107)
• Add FeatureGroup init/get (e47d436)
• Add support for BaseModels in LangChain templates (5eb885e)
• Added the vision_models.Image._mime_type property to make vision_models.Image compatible with generative_models.Image (6557d88)
• AutoSxS Pairwise Metric in Rapid Evaluation SDK (b0c5eda)
• GenAI - Grounding - Released Google Web Search retriever to GA (32b030a)
• GenAI - Tuning - Supervised - Added support for the adapter_size parameter (88188d2)
• LLM - Made the tuning location parameters truly optional (bae8429)
• LLM - Support tuning of new text embedding models by migrating to the new v1.1.3 pipeline. (7fea754)
• LLM - Text embedding - Added the output_dimensionality and learning_rate_multiplier parameters to text embedding tuning (Preview only) (cc8bc96)
• LLM - Text Embedding - Added validation for text embedding tuning parameters. (5a300c1)
• Release Ray on Vertex SDK to GA (f7c5132)
• Support custom service account for Ray cluster creation and Ray Client connection (e0c6227)
• Support vector_distance_threshold filtering and file-based retrieval for RAG (cd85d8f)

Bug Fixes

• A bug in the evaluation library where the job crashes if only custom metrics are specified. (c528b6f)
• Add DeprecationWarning to vertexai.preview predictive models SDK (3c3727b)
• Add MAX_TOKENS to the list of successful finish reasons for Rapid Evaluation SDK (195c77e)
• AttributeError for TorchModelSerializer.deserialize in torch >=2.3.0 (20b1866)
• GenAI - Fixed handling of multiple tools in AutomaticFunctionCallingResponder (58e6ac9)
• Remove InternalServerError and Unknown evaluation service error from retriable exceptions (12c147b)
• Upload the reference model in model registry (510c833)

v1.50.0

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Features

• Add Candidate.grounding_metadata property (b22a8b8)
• Add option to not include time_series_metrics in get_experiment_df call. This will improve execution time for Experiments with large number of runs. (78a95c5)
• Add tune_model and deploy_tuned_model for TextEmbeddingModel. (42f5d6f)
• Automatically populate parents for full resource name in Vertex RAG SDK (26657ff)
• Deploy a tuned text embedding model -- it doesn't matter, if it's tuned using Node.js, or curl. (8ca9cdf)
• Make get_embeddings work both for foundational & tuned models. (b8b589c)
• Python SDK for Vertex Model Monitoring V2. (021d59f)
• Support public endpoint for Ray Client (57a5f78)

Bug Fixes

• Add deprecation warnings when using Ray v2.4 (3a36784)
• Append allowed_plugins in tb-gcp-uploader to default allowed plugins (aab9c3e)
• LLM - Added missing parameters to the no-op _TunableTextEmbeddingModelMixin.get_tuned_model method (eb05ac4)
• LVM - Fixed the typo in the VisionModel aspect ratio type annotation (2d19137)
• Move torch import (e6d34df)
• Ray - Fixed exception when using Ray 2.4 (2661f52)

v1.49.0

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Features

• Add additional parameters for GenerationConfig (0599ca1)
• Add FeatureNormType to MatchingEngineIndexConfig. (c0e7acc)
• Add mappings to pipeline templates for text-embedding models. (6279924)
• Add support for TPU v5 lite pod(v5e) for custom training jobs. Custom training jobs now accept the v5e machine types as listed in https://cloud.google.com/tpu/docs/tpus-in-gke#v5e. (415912e)
• Fix typo in Vertex Feature Store SDK. (b5404e7)
• GenAI - Improved the exception messages when candidates, parts or text are not available (e82264d)
• Support PreflightValidation in Preview PipelineJob submit function. (e88dc0d)
• Tune_model method for class TextEmbeddingModel. (3eda55d)
• Vertex RAG for enhanced generative AI (39b5149)

Bug Fixes

• GCS Bucket subdirectory not being creating while using ReasoningEngine create method (3d22a18)
• GenAI - Fixed the Part.mime_type property (819a44e)
• Handle missing import for RunnableConfig when generating schema for LangChain templates (76c5d6d)
• Parse intermediate steps from LangChain into JSON. (754c89d)
• Register TensorFlow models from Ray checkpoints for more recent TensorFlow version, addressing the deprecation of SavedModel format in keras 3 (1341e2c)
• Tensorboard uploader - move remaining tensorboard uploader code to aiplatform (f34094b)

v1.48.0

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Features

• Add support for reading requirements from a file. (80db7a0)
• Adding tpu_topology to Vertex SDK (423c764)
• Enable continuous upload for profile logs. (f05924d)
• GenAI - Added the GenerationResponse.prompt_feedback property (efd5a72)
• GenAI - Added the GenerationResponse.usage_metadata property (0654c35)
• Support NOT_EQUAL for MatchingEngineIndexEndpoint numeric_restricts. (aa918e3)
• Support referenced models in SDK. (c9b6b8b)

Bug Fixes

• Add validation check for extra_packages when creating a reasoning engine. (255dabc)
• Add validation for langchain tools. (a821d50)
• Fixed the vertexai.init partial initialization issues (636a654)
• GenAI - Workaround for streaming when content role is missing in service responses (fa35b91)

Documentation

• Add Reasoning Engine reference documentation (496fc4b)
• GenAI - Add Rapid Evaluation SDK reference documentation (40b728b)

v1.47.0

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Features

• Add display experiment button for tuning in Ipython environments (9bb687c)
• Add Persistent Resource ID parameter to Custom Job form_local_script, run, and submit methods. (f5be0b5)
• Add Persistent Resource Id parameter to Custom Training Job run and submit methods. (f428006)
• Added GA support for PersistentResource management (98a07dd)
• Added GA support for running Custom and Hp tuning jobs on Persistent Resources (35ecbac)
• Added the Experiment.dashboard_url property (c8eec21)
• GenAI - Added support for SafetySetting.method (probability or severity) (317ab8f)
• GenAI - Added support for supervised fine-tuning (036d2d0)
• GenAI - Added support for system instructions (4990eb6)
• GenAI - Forced function calling feature (806ef9f)
• Initial template for Langchain on Vertex. (0752a29)
• LLM - Add RLHF-tuning support for text-bison@002 (1f27c3e)
• Vertex AI Extension SDK Public Preview (137b5e1)
• Vertex AI Reasoning Engine SDK Public Preview (6aaa5d0)
• Vertex Rapid Evaluation SDK and Prompt Template for Vertex Prompt Management Public Preview (8c6ddf5)

Bug Fixes

• GenAI - Fixed response validation error during streaming (c881998)
• GenAI - Fixed the GenerativeModel's handling of tuned models from different region (bf33fb3)
• GenAI - Fixed the TuningJob dashboard URL (5367fbb)
• Reinstate persistent resource preview class and tests (765d60d)

Documentation

• Add run custom job on persistent resource sample. (53fc845)
• Add run custom job on persistent resource sample. (31100c6)

v1.46.0

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Features

• GenAI - Automatic Function Calling feature (eef84c6)
• Python SDK for Vertex Feature Store. (5015d25)

v1.45.0

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Features

• Add an arg to turn off Ray metrics collection during cluster creation (e33d11f)
• Add Batch Delete and Batch Cancel Pipeline Jobs and unit tests. (cb495e7)
• Add display model evaluation button for Ipython environments (181dc7a)
• Add safety filter levels, watermark support and person generation support for Imagen 2 (0c498c5)
• Add safety filter levels, watermark support and person generation support for Imagen 2 (e2efdbe)
• Add support for output_dimensionality parameter through get_embeddings. (b1cab3f)
• Add support for task types (TASK_QUESTION_ANSWERING, TASK_FACT_VERIFICATION) through get_embeddings. (9ec4590)
• Add v1beta1 service clients for reasoning engine (13ec7e0)
• GenAI - Support generating JSON Schema from Python function (be4922a)
• Improve get_experiment_df execution speed (2e56acc)
• Ray on Vertex enables XGBoost register model with custom version using pre-built container (e45ef96)
• Support accelerator_type in RLHF tuning (e51c977)

Bug Fixes

• Fix failing get_experiments_df test. (767712e)
• GenAI - Capture content blocked case when validating responses (f0086df)
• LLM - Fixed the InlineContext grounding source (6f59100)
• Made Endpoint.raw_predict thread-safe by setting authorized_session last (c72c1ef)

v1.44.0

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Features

• Add custom tool context manager for telemetry (b30f5a6)
• Add display experiment button for Ipython environments (0b33bdd)
• Allow module_name to be specified with the base logger. (c01df66)
• Enable Ray cluster creation with custom_image for each Resource (f90c9cc)
• GenAI - Added function_calls shortcut property to Candidate class. (d6490ff)
• LLM - Added support for the max_context_length tuning parameter (e5daae9)
• Support shard_size for MatchingEngineIndex create index. (6dbf7d3)
• Use colab enterprise enviroment variables to infer project_id and region (5baf5f8)

Bug Fixes

• Batch read tensorboard time series data to allow reading more than 20 time series metrics. (6e3eac2)
• GenAI - Fixed get_tuned_model deploying the model every time (e1c7870)
• GenAI - Improved from_dict methods for content types (GenerationResponse, Candidate, Content, Part) (613ce69)
• Improve import time by moving TensorFlow to lazy import (f294ba8)
• LVM - Added support for GCS storage.googleapis.com URL import in vision_models.Image (2690e72)
• Raise AttributeError for accessing non-existent fields of a proto. (b91edf5)

Documentation

• Fixed the documentation generation (63ad1bf)
• GenAI - Added the GA classes to the documentation (9eb5a52)

v1.43.0

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Features

• Add update_mask to MatchingEngineIndex upsert_datapoints() to support dynamic metadata update. (81f6a25)
• Add Ray on Vertex BigQuery read/write support for Ray 2.9 (e048e3a)
• Add read_bigquery and write_bigquery wrappers for Ray on Vertex (4739118)
• Add transport override to enable the use of REST instead of GRPC (6ab4084)
• Enable Ray cluster creation and registering TensorFlow checkpoint to Vertex with Ray version 2.9 (ff148cd)
• LLM - Add support for batch prediction to CodeGenerationModel (code-bison) (fbf2f7c)
• Support custom timeout for MatchingEngineIndex and MatchingEngineIndexEndpoint APIs. (09d1946)
• Update ray extras installation in setup.py for Ray 2.9.3 (d947304)

Bug Fixes

• Allow destination directory to exist before we copy. (0b55762)
• LVM - Fixed VideoSegmentConfig in Multimodal Embeddings API call (665e78c)

Documentation

• Update transport docstrings to include that REST is in preview (a442866)

v1.42.1

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Bug Fixes

• Handle case when no metadata is returned from model.predict (59e2bca)
• Remove runtime dependency of setuptools (07c2a25)

Documentation

• GenAI - Docs - Added quickstart link and minimum SDK version (cf6ab21)
• GenAI - Updated the README for GA (cfd96d8)

v1.42.0

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Features

• Add Candidate.grounding_metadata (310ee49)
• Add GoogleSearchRetrieval (310ee49)
• Add metadata in model.predict output for LLMs (4661e58)
• Add Retrieval ([310ee49](https://togithub.com/googleapis/python-aiplatform/commit/310ee49a11767c

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