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Bump mlflow from 2.13.2 to 2.16.0 in /src #2

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Bumps mlflow from 2.13.2 to 2.16.0.

Release notes

Sourced from mlflow's releases.

MLflow 2.16.0

We are excited to announce the release of MLflow 2.16.0. This release includes many major features and improvements!

Major features:

  • LlamaIndex Enhancements🦙 - to provide additional flexibility to the LlamaIndex integration, we now have support for the models-from-code functionality for logging, extended engine-based logging, and broadened support for external vector stores.

  • LangGraph Support - We've expanded the LangChain integration to support the agent framework LangGraph. With tracing and support for logging using the models-from-code feature, creating and storing agent applications has never been easier!

  • AutoGen Tracing - Full automatic support for tracing multi-turn agent applications built with Microsoft's AutoGen framework is now available in MLflow. Enabling autologging via mlflow.autogen.autolog() will instrument your agents built with AutoGen.

  • Plugin support for AI Gateway - You can now define your own provider interfaces that will work with MLflow's AI Gateway (also known as the MLflow Deployments Server). Creating an installable provider definition will allow you to connect the Gateway server to any GenAI service of your choosing.

Features:

  • [UI] Add updated deployment usage examples to the MLflow artifact viewer (#13024, @​serena-ruan, @​daniellok-db)
  • [Models] Support logging LangGraph applications via the models-from-code feature (#12996, @​B-Step62)
  • [Models] Extend automatic authorization pass-through support for Langgraph agents (#13001, @​aravind-segu)
  • [Models] Expand the support for LangChain application logging to include UCFunctionToolkit dependencies (#12966, @​aravind-segu)
  • [Models] Support saving LlamaIndex engine directly via the models-from-code feature (#12978, @​B-Step62)
  • [Models] Support models-from-code within the LlamaIndex flavor (#12944, @​B-Step62)
  • [Models] Remove the data structure conversion of input examples to ensure enhanced compatibility with inference signatures (#12782, @​serena-ruan)
  • [Models] Add the ability to retrieve the underlying model object from within pyfunc model wrappers (#12814, @​serena-ruan)
  • [Models] Add spark vector UDT type support for model signatures (#12758, @​WeichenXu123)
  • [Tracing] Add tracing support for AutoGen (#12913, @​B-Step62)
  • [Tracing] Reduce the latency overhead for tracing (#12885, @​B-Step62)
  • [Tracing] Add Async support for the trace decorator (#12877, @​MPKonst)
  • [Deployments] Introduce a plugin provider system to the AI Gateway (Deployments Server) (#12611, @​gabrielfu)
  • [Projects] Add support for parameter submission to MLflow Projects run in Databricks (#12854, @​WeichenXu123)
  • [Model Registry] Introduce support for Open Source Unity Catalog as a model registry service (#12888, @​artjen)

Bug fixes:

Documentation updates:

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.16.0 (2024-08-30)

We are excited to announce the release of MLflow 2.16.0. This release includes many major features and improvements!

Major features:

  • LlamaIndex Enhancements🦙 - to provide additional flexibility to the LlamaIndex integration, we now have support for the models-from-code functionality for logging, extended engine-based logging, and broadened support for external vector stores.

  • LangGraph Support - We've expanded the LangChain integration to support the agent framework LangGraph. With tracing and support for logging using the models-from-code feature, creating and storing agent applications has never been easier!

  • AutoGen Tracing - Full automatic support for tracing multi-turn agent applications built with Microsoft's AutoGen framework is now available in MLflow. Enabling autologging via mlflow.autogen.autolog() will instrument your agents built with AutoGen.

  • Plugin support for AI Gateway - You can now define your own provider interfaces that will work with MLflow's AI Gateway (also known as the MLflow Deployments Server). Creating an installable provider definition will allow you to connect the Gateway server to any GenAI service of your choosing.

Features:

  • [UI] Add updated deployment usage examples to the MLflow artifact viewer (#13024, @​serena-ruan, @​daniellok-db)
  • [Models] Support logging LangGraph applications via the models-from-code feature (#12996, @​B-Step62)
  • [Models] Extend automatic authorization pass-through support for Langgraph agents (#13001, @​aravind-segu)
  • [Models] Expand the support for LangChain application logging to include UCFunctionToolkit dependencies (#12966, @​aravind-segu)
  • [Models] Support saving LlamaIndex engine directly via the models-from-code feature (#12978, @​B-Step62)
  • [Models] Support models-from-code within the LlamaIndex flavor (#12944, @​B-Step62)
  • [Models] Remove the data structure conversion of input examples to ensure enhanced compatibility with inference signatures (#12782, @​serena-ruan)
  • [Models] Add the ability to retrieve the underlying model object from within pyfunc model wrappers (#12814, @​serena-ruan)
  • [Models] Add spark vector UDT type support for model signatures (#12758, @​WeichenXu123)
  • [Tracing] Add tracing support for AutoGen (#12913, @​B-Step62)
  • [Tracing] Reduce the latency overhead for tracing (#12885, @​B-Step62)
  • [Tracing] Add Async support for the trace decorator (#12877, @​MPKonst)
  • [Deployments] Introduce a plugin provider system to the AI Gateway (Deployments Server) (#12611, @​gabrielfu)
  • [Projects] Add support for parameter submission to MLflow Projects run in Databricks (#12854, @​WeichenXu123)
  • [Model Registry] Introduce support for Open Source Unity Catalog as a model registry service (#12888, @​artjen)

Bug fixes:

Documentation updates:

... (truncated)

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Summary by Sourcery

Bump mlflow from version 2.13.2 to 2.16.0, introducing major features such as LlamaIndex enhancements, LangGraph support, AutoGen tracing, and AI Gateway plugin support. The update also includes several bug fixes and documentation improvements.

New Features:

  • Introduce LlamaIndex enhancements, including models-from-code functionality, extended engine-based logging, and support for external vector stores.
  • Expand LangChain integration to support LangGraph with tracing and models-from-code logging.
  • Add full automatic support for tracing multi-turn agent applications built with Microsoft's AutoGen framework.
  • Introduce plugin support for AI Gateway, allowing custom provider interfaces for GenAI services.

Bug Fixes:

  • Reduce contents of the model-history tag to essential fields.
  • Fix behavior of defining the device for loading transformers models.
  • Fix evaluate behavior for LlamaIndex.
  • Replace pkg_resources with importlib.metadata due to deprecation.
  • Fix error handling for OpenAI autolog tracing.
  • Resolve deadlock condition when connecting to an SFTP artifact store.
  • Fix initialization of code_paths dependencies for LangChain models.
  • Fix type error for metrics value logging.
  • Properly catch NVML errors when collecting GPU metrics.
  • Improve Gateway schema support for OpenAI provider.
  • Fix deletion of artifacts during UC model registration from non-standard DBFS locations.

Documentation:

  • Add documentation guides for LangGraph support.
  • Add additional documentation for models-from-code feature.

@dependabot
Bump mlflow from 2.13.2 to 2.16.0 in /src
d2851c5 
Bumps [mlflow](https://github.com/mlflow/mlflow) from 2.13.2 to 2.16.0.
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v2.13.2...v2.16.0)

---
updated-dependencies:
- dependency-name: mlflow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Nov 25, 2024
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sourcery-ai bot commented Nov 25, 2024 •
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Reviewer's Guide by Sourcery

This PR updates the MLflow dependency from version 2.13.2 to 2.16.0. The new version introduces several major features including enhanced LlamaIndex integration, LangGraph support, AutoGen tracing capabilities, and plugin support for AI Gateway. The update also includes various bug fixes and improvements across different MLflow components.

No diagrams generated as the changes look simple and do not need a visual representation.

File-Level Changes

Change Details Files
Major feature additions and enhancements to MLflow's LLM capabilities
  • Added support for LlamaIndex models-from-code functionality and extended engine-based logging
  • Introduced LangGraph support for the LangChain integration
  • Added AutoGen tracing support for multi-turn agent applications
  • Implemented plugin support system for AI Gateway
 src/requirements.freeze.txt
Improvements to model handling and tracking functionality
  • Added ability to retrieve underlying model object from pyfunc wrappers
  • Added support for spark vector UDT type in model signatures
  • Improved compatibility with inference signatures
  • Reduced tracing latency overhead
 src/requirements.freeze.txt
Bug fixes and stability improvements
  • Fixed device utilization behavior for transformers models
  • Fixed deadlock issues with SFTP artifact store connections
  • Improved error handling for OpenAI autolog tracing
  • Fixed type errors in metrics value logging
 src/requirements.freeze.txt
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