chore(deps): update dependency google-cloud-aiplatform to v1.44.0

[renovate-bot]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
google-cloud-aiplatform	==1.25.0 -> ==1.44.0
google-cloud-aiplatform	==1.42.1 -> ==1.44.0
google-cloud-aiplatform	==1.28.0 -> ==1.44.0

---

Release Notes

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

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)
• Add Tool.google_search_retrieval (310ee49)
• Add Tool.retrieval (310ee49)
• Add VertexAiSearch (310ee49)
• GenAI - Added to_dict() methods to response and content classes (a78748e)
• GenAI - Added support for Grounding (0c3e294)
• GenAI - Added the GenerativeModel.start_chat(response_validation: bool = True) parameter (94f7cd9)
• GenAI - GAPIC - Added support for Grounding (310ee49)
• GenAI - Release the GenerativeModel to GA (c7e3f07)
• LLM - Add newly supported model text-bison@002, update pipeline template version and prediction row limit for pipeline-based LLM Evaluation SDK (35e57b3)
• LVM - Add GCS URI support for Imagen Models (imagetext, imagegeneration) (4109ea8)
• LVM - Added support for Images from GCS uri for multimodal embeddings (90d95d7)
• LVM - Added support for Videos from GCS uri for multimodal embeddings (f3bd3bf)
• Support custom image for Ray cluster creation (d727189)

Bug Fixes

• Add google-auth as a direct dependency (ecc6454)
• Add restricts and crowding tag to MatchingEngineIndexEndpoint query response. (83cb52d)
• Remove usage of distutils (e35ab64)

Documentation

• Fix incorrect field in log_time_series_metrics_sample (f249353)
• Update README (14b41b5)

v1.41.0

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Features

• Add numeric_filter to MatchingEngineIndexEndpoint match() and find_neighbor() private endpoint queries. (679646a)
• Added the BatchPredictionJob.submit method - a non-blocking version of BatchPredictionJob.create (b62ddcd)
• LLM - Add support for RLHF tuning (b2458ec)
• Remove deletion of model upload staging bucket in system tests (b9b373b)
• Switch Python generateContent to call Unary API endpoint (9a19545)

Bug Fixes

• Fix crash when no target_col is specified for Bigframes tensorflow (512b82d)

Documentation

• Add missing code block in docs/README.rst (16d6b58)

v1.40.0

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Features

• Add return_full_datapoint for MatchEngineIndexEndpoint match(). (ad8d9c1)
• Add batch delete method in preview pipeline job class and unit test. (b0b604e)
• Add option to not overwrite table in Ray on Vertex BQ Write (a99e992)
• Add query by id for MatchingEngineIndexEndpoint find_neighbors() public endpoint query. (42c7e08)
• Add support for low_level_batch_size in match() for MatchingEngineIndexEndpoint private query. (67e593b)
• Added Public Preview support for PersistentResource management (262a36b)
• Enable inline context in grounding to TextGenerationModel predict. (a75e81c)
• Fix dataset export system test (1fbf049)
• LVM - Added the MultiModalEmbeddingModel.get_embeddings(dimension=...) parameter (1d9bd23)
• Support empty index for MatchingEngineIndex create index. (a00db07)
• Support private service connect for MatchingEngineIndexEndpoint match() and read_index_datapoints(). (61cff4b)

Bug Fixes

• Fix example usage of batch delete pipelinejobs. (3b28d64)
• Fix experiments failure when backing tensorboard has been deleted. (e7a197e)
• Fix message to Json parse issue in Dataset class (066f32d)
• Fix typo in raise exception when tool is unsupported (2301d79)
• Fixed the PipelineJob bucket creation after a breaking change in Google Cloud Storage client library (a8b01e0), closes #​2936
• Increase memory for Ray on Vertex default machine type (e6bcb17)
• Use https to connect through Ray dashboard (7af3e67)

v1.39.0

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Features

• Add fraction_leaf_nodes_to_search_override. Add support for private endpoint in find_neighbors. (cd31c13)
• Add notification_channels field to model monitoring alert config. (bb228ce)
• Add support of newly added fields of ExportData API to SDK (ec3ea30)
• Allow reuse of deleted experiment run id. (5f6ad8d)
• GenAI - Added support for "models/<model ID>" model name format (ab21feb)
• Support "reservedIpRanges" parameter in PipelineJob run() and submit() methods. (ab99e00)
• Support custom target y column name for Bigframes Tensorflow (1634940)
• Verify client and cluster Ray versions match in create_ray_cluster (17dc9b7)

Bug Fixes

• Missing request parameter for v1beta explain. (443fa9d)
• Pin google-cloud-aiplatform[tensorboard] dependency on tensorflow < 2.15.0 due to breaking change introduced in tensorboard 2.15.1 (4e891f7)

Documentation

• GenAI - Added GenAI to docs (92fd7f0)
• Update docstring for start_upload_tb_log() (c033c59)
• Update tensorboard continuous uploader sample (1220746)

v1.38.1

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Features

• Adding serving_container_grpc_ports parameter to Model.upload() method (6a00ed7)
• LLM - Added support for model distillation (28925e9)
• Support CMEK for scheduled pipeline jobs. (406595d)

Miscellaneous Chores

• Release 1.38.1 (537d00e)

v1.38.0

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Features

• Release GenerativeModel support for Gemini (cd233ef)
• Add explicit constraints for update_ray_cluster (979a4f3)
• Check if dataset exists before creation for Ray on Vertex BigQuery Write (544d6fe)
• LLM - Added support for the logprobs, presence_penalty, frequency_penalty, and logit_bias generation parameters (1449344)
• Support read_index_datapoints for private network. (c9f7119)
• Support custom batch size for Bigframes Tensorflow (7dc8771)
• Update the v1 service definition to add numeric_restricts. (d0c2ffa)
• Verify client and cluster Ray versions match (10c6ad2)

Bug Fixes

• read_index_endpoint private endpoint support. (3d8835e)
• Fix exception message to use vertexai when project is not provided. (0cb1a7b)
• Update test assumption for streaming endpoint of chat-bison@001 (f9a5b69)
• When user is not logged in, throw more intuitive message (a8b24ad)

Documentation

• Add default value to optional field parameter_values (0a4d772)

v1.37.0

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Features

• Add additional parameters to Model.upload(). (7b7d7d2)
• Adding support for concurrent explanations (8e2ad75)
• Allow configuring container logging settings on models when deploying. (beae48f)
• Support user provided api endpoint. (92f2b4e)
• Add grpc_ports to UploadModel ModelContainerSpec, add DirectPredict, DirectRawPredict, StreamingPredict, StreamingRawPredict to PredictionService. (6dfbad7)

Bug Fixes

• Clarify wording when Ray on Vertex cluster is missing head node ip (4a71c8c)
• Fix error when allowed_plugins is set to None. (6f2860a)
• Fixed INTEGER and BOOL parameters casting issue. Fix conversion bug where INTEGER and BOOL parameters are not cast to the correct type. (9a204c4)
• Make PipelineJobSchedule propagate labels to created PipelineJobs (a34533f)

Documentation

• Add upload Tensorboard profile log to Experiment sample. (5780513)
• Update the documentation for the image_dataset class (8562368)

v1.36.4

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Features

• Add numeric_restricts to MatchingEngineIndex find_neighbors() for querying (6c1f2cc)
• Add remove_datapoints() to MatchingEngineIndex. (b86a404)
• Add upsert_datapoints() to MatchingEngineIndex to support streaming update index. (7ca484d)
• LLM - include error code into blocked response from TextGenerationModel, ChatModel, CodeChatMode, and CodeGenerationModel. (1f81cf2)
• Populate Ray Cluster dashboard_address from proto field (dd4b852)
• add CountTokens API, ComputeTokens API, and ModelContainerSpec features (ba2fb39)

Bug Fixes

• Add check for empty encryption_spec_key_name for MatchingEngineIndexEndpoint create. (7740132)
• Fix server error due to no encryption_spec_key_name in MatchingEngineIndex create_tree_ah_index and create_brute_force_index (595b580)

Miscellaneous Chores

• Release 1.36.4 (1fd7b4e)

v1.36.3

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Features

• Add option to not use default tensorboard (a25c669)
• Add preview HyperparameterTuningJob which can be run on persistent resource (0da8c53)
• Add Featurestore Bigtable Serving, Feature Registry v1, November bulk GAPIC release (9f46f7c)

Documentation

• Fix documentation for obsolete link to GCS formatting (95184de)

Miscellaneous Chores

• Release 1.36.3 (fdee5cb)

v1.36.2

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Features

• Add encryption_spec_key_name to MatchingEngineIndex create_tree_ah_index and (1a9e36f)
• Add encryption_spec_key_name, enable_private_service_connect,project_allowlist to MatchingEngineIndexEndpoint create. (750e17b)
• Add index_update_method to MatchingEngineIndex create() (dcb6205)
• Expose max_retry_cnt parameter for Ray on Vertex BigQuery write (568907c)
• LLM - Grounding - Added support for the disable_attribution grounding parameter (91e985a)
• LLM - Support model evaluation when tuning chat models (ChatModel, CodeChatModel) (755c3f9)
• LVM - Added multi-language support for ImageGenerationModel (791eff5)

Bug Fixes

• Async call bug in CodeChatModel.send_message_async method (fcf05cb)

Documentation

• Add Bigframes remote training example to vertexai README (8b993b3)
• Update the documentation for the tabular_dataset class (6f40f1b)

Miscellaneous Chores

• Release 1.36.2 (01be0c9)

v1.36.1

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Features

• Add per_crowding_attribute_neighbor_count, approx_num_neighbors, fraction_leaf_nodes_to_search_override, and return_full_datapoint to MatchingEngineIndexEndpoint find_neighbors (33c551e)
• Add profiler support to tensorboard uploader sdk (be1df7f)
• Add support for per_crowding_attribute_num_neighbors approx_num_neighborsto MatchingEngineIndexEndpoint match() (e5c20c3)
• Add support for per_crowding_attribute_num_neighbors approx_num_neighborsto MatchingEngineIndexEndpoint match() (53d31b5)
• Add support for per_crowding_attribute_num_neighbors approx_num_neighborsto MatchingEngineIndexEndpoint match() (4e357d5)
• Enable grounding to ChatModel send_message and send_message_async methods (d4667f2)
• Enable grounding to TextGenerationModel predict and predict_async methods (b0b4e6b)
• LLM - Added support for the enable_checkpoint_selection tuning evaluation parameter (eaf4420)
• LLM - Added tuning support for the *-bison-32k models (9eba18f)
• LLM - Released CodeChatModel tuning to GA (621af52)

Bug Fixes

• Correct class name in system test (b822b57)

Documentation

• Clean up RoV create_ray_cluster docstring (1473e19)

Miscellaneous Chores

• Release 1.36.1 (1cde170)

v1.36.0

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Features

• Add preview count_tokens method to CodeGenerationModel (96e7f7d)
• Allow the users to use extra serialization arguments for objects. (ffbd872)
• Also support unhashable objects to be serialized with extra args (77a741e)
• LLM - Added count_tokens support to ChatModel (preview) (01989b1)
• LLM - Added new regions for tuning and tuned model inference (3d43497)
• LLM - Added support for async streaming (760a025)
• LLM - Added support for multiple response candidates in code chat models (598d57d)
• LLM - Added support for multiple response candidates in code generation models (0c371a4)
• LLM - Enable tuning eval TensorBoard without evaluation data (eaf5d81)
• LLM - Released CodeGenerationModel tuning to GA (87dfe40)
• LLM - Support accelerator_type in tuning (98ab2f9)
• Support experiment autologging when using persistent cluster as executor (c19b6c3)
• Upgrade BigQuery Datasource to use write() interface (7944348)

Bug Fixes

• Adding setuptools to dependencies for Python 3.12 and above. (afd540d)
• Fix Bigframes tensorflow serializer dependencies (b4cdb05)
• LLM - Fixed the async streaming (41bfcb6)
• LLM - Make tuning use the global staging bucket if specified (d9ced10)
• LVM - Fixed negative prompt in ImageGenerationModel (cbe3a0d)
• Made the Endpoint prediction client initialization lazy (eb6071f)
• Make sure PipelineRuntimeConfigBuilder is created with the right arguments (ad19838)
• Make sure the models list is populated before indexing (f1659e8)
• Raise exception for RoV BQ Write for too many rate limit exceeded (7e09529)
• Rollback BigQuery Datasource to use do_write() interface (dc1b82a)

v1.35.0

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Features

• Add serializer.register_custom_command() (639cf10)
• Install Bigframes sklearn dependencies automatically (7aaffe5)
• Install Bigframes tensorflow dependencies automatically (e58689b)
• Install Bigframes torch dependencies automatically (1d65347)
• LLM - Added support for multiple chat response candidates (587df74)
• LLM - Added support for multiple text generation response candidates (c3ae475)

Bug Fixes

• Duplicate logs in Colab (9b75259)
• LLM - Fixed tuning and evaluation when explicit credentials are specified (188dffe)

Documentation

• Add probabilistic inference to TiDE and L2L model code samples. (efe88f9)

v1.34.0

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Features

• Add Model Garden support to vertexai.preview.from_pretrained (f978200)
• Enable vertexai preview persistent cluster executor (0ae969d)
• LLM - Added the count_tokens method to the preview TextGenerationModel and TextEmbeddingModel classes (6a2f2aa)
• LLM - Improved representation for blocked responses (222f222)
• LLM - Released ChatModel tuning to GA (7d667f9)

Bug Fixes

• Create PipelineJobSchedule in same project and location as associated PipelineJob by default (c22220e)

Documentation

• Add documentation for the preview namespace (69a67f2)

v1.33.1

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Bug Fixes

• Lightning trainer fails to be unwrapped in remote training (8271301)

v1.33.0

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Features

• Add Custom Job support to from_pretrained (8b0add1)
• Added async prediction and explanation support to the Endpoint class (e9eb159)
• LLM - Added support for async prediction methods (c9c9f10)
• LLM - CodeChat - Added support for context (f7feeca)
• Release Ray on Vertex SDK Preview (3be36e6)

Bug Fixes

• Handle Ray image parsing error (41a3a83)
• Vizier - Fixed field existence checks for child params in to_proto(). (d516931)

v1.32.0

Features

• LLM - Added stop_sequences parameter to streaming methods and CodeChatModel (d62bb1b)
• LLM - Improved the handling of temperature and top_p in streaming (6566529)
• Support bigframes sharded parquet ingestion at remote deserialization (Tensorflow) (a8f85ec)
• Release Vertex SDK Preview (c60b9ca)
• Allow setting default service account (d11b8e6)

Bug Fixes

• Fix feature update since no LRO is created (468e6e7)
• LLM - CodeGenerationModel now supports safety attributes (c2c8a5e)
• LLM - Fixed batch prediction on tuned models (2a08535)
• LLM - Fixed the handling of the TextEmbeddingInput.task_type parameter. (2e3090b)
• Make statistics Optional for TextEmbedding. (7eaa1d4)

v1.31.1

• fix: LLM - De-hardcoded the max_output_tokens default value for the CodeGenerationModel (f5a20eb)

v1.31.0

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Features

• Add disable_retries option to custom jobs. (db518b0)
• LLM - Added support for stop_sequences in inference (6f7ea84)
• LLM - Exposed the TextGenerationResponse.raw_prediction_response (f8f2b9c)
• LLM - Made tuning asynchronous when tuning becomes GA (226ab8b)
• LLM - release model evaluation for TextGenerationModel to public preview (8df5185)
• LLM - Released TextGenerationModel tuning to GA (62ff30d)
• LLM - Support streaming prediction for chat models (ce60cf7)
• LLM - Support streaming prediction for code chat models (0359f1d)
• LLM - Support streaming prediction for code generation models (3a8348b)
• LLM - Support streaming prediction for text generation models (fb527f3)
• LLM - TextEmbeddingModel - Added support for structural inputs (TextEmbeddingInput), auto_truncate parameter and result statistics (cbf9b6e)
• LVM - Added support for Image Generation models (b3729c1)
• LVM - Released ImageCaptioningModel to GA (7575046)
• LVM - Released ImageQnAModel to GA (fd5cb02)
• LVM - Released MultiModalEmbeddingModel to GA (e99f366)
• LVM - Removed the width and height parameters from ImageGenerationModel.generate_images since the service has dropped support for image sizes and aspect ratios (52897e6)
• Scheduled pipelines client GA. (62b8b23)

Documentation

• Generate documentation for tune_model and related class (705e1ea)
• LVM - Added autogenerated documentation for visual models (18e8bb2)

v1.30.1

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Features

• LLM - Added tuning support for chat-bison models (3a97c52)
• LLM - Added tuning support for codechat-bison models (af6e455)

Bug Fixes

• LLM - Fixed the TextGenerationModel.predict parameters (f3b25ab)

Miscellaneous Chores

• Release 1.30.1 (d1c79c4)

v1.30.0

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Features

• Add model.evaluate() method to Model class (51df86e)
• Add support for providing only text to MultiModalEmbeddingModel.get_embeddings() (38ec40a)

Bug Fixes

• LLM - Fixed filter in list_tuned_model_names (57806fb)

v1.29.0

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Features

• Add preview CustomJob which can be run on persistent resource (56906b0)
• LLM - Support for Batch Prediction for the textembedding models (preview) (a368538)
• LLM - Support tuning for the code-bison model (preview) (e4b23a2)
• LVM - Large Vision Models SDK (preview release). Support for image captioning and image QnA (imagetext model) and multi modal embedding (multimodelembedding model) (preview) (9bbf1ea)

Bug Fixes

• LLM - Fixed get_tuned_model for the future models that are not text-bison (1adf72b)

Documentation

• Fix auto-generated pydoc for language_models (7d72bd1)
• LLM - Made it possible to provide message history to CodeChatModel when starting chat. (cf46145)

v1.28.1

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Features

• LLM - Released the BatchPrediction to GA for TextGenerationModel (701c3a2)
• LLM - Support tuning in the "us-central1" location (4aa7745)

Bug Fixes

• Fix artifact registry link not showing in ui when creating schedules with SDK. (203cb47)
• Fixed the installation error caused by a PyYAML issue (4b86ce1)
• Require model name in ModelEvaluation.list() (aed8c76)

Documentation

• Fixed a docstring for train_steps (1f55b05)

Miscellaneous Chores

• Release 1.28.1 (8ebf22e)

v1.28.0

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Features

• LLM - Released the Chat models to GA (22aa26d)

v1.27.1

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Features

• Add sdk support for xai example-based explanations (f9ca1d5)

Miscellaneous Chores

• Release 1.27.1 (2159f29)

v1.27.0

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Features

• Add submit for CustomTrainingJob and CustomContainerTrainingJob which won't block until complete. (d6476d0)
• LLM - Added support for learning_rate in tuning (c6cdd10)
• LLM - Released the Codey models to GA (89609c9)

Bug Fixes

• Fix aiplatform.init bug by replacing experiment_name with experiment (c60773a)
• Fix error when calling update_state() after ExperimentRun.list() (cb255ec)
• LLM - Exported the ChatMessage class (7bf7634)
• LLM - Fixed the chat models failing due to safetyAttributes format (459ba86)
• Vizier - Fixed pyvizier client study creation errors (16299d1)

Documentation

• Fixed a docstring for _Dataset (b68a941)
• Fixed a docstring for TimeSeriesDataset (a7dfce2)
• Populate GA LLM SDK Pydocs (e248285)
• Update scheduled pipelines client max_run_count docstring with allowed values. (750e161)

v1.26.1

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Features

• Add additional scheduled pipelines client getters and unit tests. (9371b4f)
• Add PipelineJobSchedule update method and unit tests. (69c5f60)
• Add tunable parameters for Model Garden model training to the "AutoMLImageTrainingJob" in SDK. (50646be)
• LLM - Added batch prediction (2235305)
• LLM - Exposed the chat history (bf0e20b)
• LLM - Exposed the safety attributes (01ba3ca)

Bug Fixes

• Change scheduled pipelines client dashboard uri to view created schedules. Note: uri will not work until scheduler UI is GA. (d4d8613)
• Fix bug where scheduled pipeline jobs were not running. ([4e7d11a](

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