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Chore(deps): Bump mlflow from 2.14.1 to 2.17.1 #178

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@dependabot dependabot bot commented on behalf of github Oct 28, 2024

Bumps mlflow from 2.14.1 to 2.17.1.

Release notes

Sourced from mlflow's releases.

MLflow 2.17.1 is a patch release that includes several major features and improvements

Features:

Bug fixes:

Documentation updates:

Small bug fixes and documentation updates:

#13293, #13510, #13501, #13506, #13446, @​harupy; #13341, #13342, @​WeichenXu123; #13396, @​dvorst; #13535, @​chenmoneygithub; #13503, #13469, #13416, @​B-Step62; #13519, #13516, @​serena-ruan; #13504, @​sunishsheth2009; #13508, @​KamilStachera; #13397, @​kriscon-db

MLflow 2.17.0

We are excited to announce the release of MLflow 2.17.0! This release includes several enhancements to extend the functionality of MLflow's ChatModel interface to further extend its versatility for handling custom GenAI application use cases. Additionally, we've improved the interface within the tracing UI to provide a structured output for retrieved documents, enhancing the ability to read the contents of those documents within the UI. We're also starting the work on improving both the utility and the versatility of MLflow's evaluate functionality for GenAI, initially with support for callable GenAI evaluation metrics.

Major Features and notifications:

  • ChatModel enhancements - As the GenAI-focused 'cousin' of PythonModel, ChatModel is getting some sizable functionality extensions. From native support for tool calling (a requirement for creating a custom agent), simpler conversions to the internal dataclass constructs needed to interface with ChatModel via the introduction of from_dict methods to all data structures, the addition of a metadata field to allow for full input payload customization, handling of the new refusal response type, to the inclusion of the interface type to the response structure to allow for greater integration compatibility. (#13191, #13180, #13143, @​daniellok-db, #13102, #13071, @​BenWilson2)

  • Callable GenAI Evaluation Metrics - As the intial step in a much broader expansion of the functionalities of mlflow.evaluate for GenAI use cases, we've converted the GenAI evaluation metrics to be callable. This allows you to use them directly in packages that support callable GenAI evaluation metrics, as well as making it simpler to debug individual responses when prototyping solutions. #13144, @​serena-ruan)

  • Audio file support in the MLflow UI - You can now directly 'view' audio files that have been logged and listen to them from within the MLflow UI's artifact viewer pane.

  • MLflow AI Gateway is no longer deprecated - We've decided to revert our deprecation for the AI Gateway feature. We had renamed it to the MLflow Deployments Server, but have reconsidered and reverted the naming and namespace back to the original configuration.

Features:

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.17.1 (2024-10-25)

MLflow 2.17.1 includes several major features and improvements

Features:

Bug fixes:

Documentation updates:

Small bug fixes and documentation updates:

#13293, #13510, #13501, #13506, #13446, @​harupy; #13341, #13342, @​WeichenXu123; #13396, @​dvorst; #13535, @​chenmoneygithub; #13503, #13469, #13416, @​B-Step62; #13519, #13516, @​serena-ruan; #13504, @​sunishsheth2009; #13508, @​KamilStachera; #13397, @​kriscon-db

2.17.0 (2024-09-26)

We are excited to announce the release of MLflow 2.17.0! This release includes several enhancements to extend the functionality of MLflow's ChatModel interface to further extend its versatility for handling custom GenAI application use cases. Additionally, we've improved the interface within the tracing UI to provide a structured output for retrieved documents, enhancing the ability to read the contents of those documents within the UI. We're also starting the work on improving both the utility and the versatility of MLflow's evaluate functionality for GenAI, initially with support for callable GenAI evaluation metrics.

Major Features and notifications:

  • ChatModel enhancements - As the GenAI-focused 'cousin' of PythonModel, ChatModel is getting some sizable functionality extensions. From native support for tool calling (a requirement for creating a custom agent), simpler conversions to the internal dataclass constructs needed to interface with ChatModel via the introduction of from_dict methods to all data structures, the addition of a metadata field to allow for full input payload customization, handling of the new refusal response type, to the inclusion of the interface type to the response structure to allow for greater integration compatibility. (#13191, #13180, #13143, @​daniellok-db, #13102, #13071, @​BenWilson2)

  • Callable GenAI Evaluation Metrics - As the intial step in a much broader expansion of the functionalities of mlflow.evaluate for GenAI use cases, we've converted the GenAI evaluation metrics to be callable. This allows you to use them directly in packages that support

... (truncated)

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Bumps [mlflow](https://github.com/mlflow/mlflow) from 2.14.1 to 2.17.1.
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v2.14.1...v2.17.1)

---
updated-dependencies:
- dependency-name: mlflow
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Oct 28, 2024
@cla-bot cla-bot bot added the cla-signed label Oct 28, 2024
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dependabot bot commented on behalf of github Nov 4, 2024

Superseded by #183.

@dependabot dependabot bot closed this Nov 4, 2024
@dependabot dependabot bot deleted the dependabot/pip/mlflow-2.17.1 branch November 4, 2024 08:01
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