chore(deps): update dependency google-cloud-aiplatform to v1.69.0 - autoclosed

[renovate-bot]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
google-cloud-aiplatform	==1.36.0 -> ==1.69.0

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Release Notes

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

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)
• 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](https://redirect.github.com/googleapis/python-aiplatform/commit/819a44ea9b624912c31843881fd613

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