v1.56.0

1.56.0 (2024-06-18)

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

1.55.0 (2024-06-12)

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

1.54.1 (2024-06-07)

Bug Fixes

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

v1.54.0

1.54.0 (2024-06-06)

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

1.53.0 (2024-05-30)

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

1.52.0 (2024-05-21)

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

1.51.0 (2024-05-10)

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

1.50.0 (2024-05-02)

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

1.49.0 (2024-04-27)

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

1.48.0 (2024-04-17)

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)