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Bump mlflow from 2.19.0 to 2.20.0 in the pip-others group #4186

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Jan 23, 2025

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Bumps the pip-others group with 1 update: mlflow.

Updates mlflow from 2.19.0 to 2.20.0

Release notes

Sourced from mlflow's releases.

MLflow 2.20.0

We are excited to announce the release of MLflow 2.20.0! This release includes a number of significant features, enhancements, and bug fixes.

Major New Features

  • 💡Type Hint-Based Model Signature: Define your model's signature in the most Pythonic way. MLflow now supports defining a model signature based on the type hints in your PythonModel's predict function, and validating input data payloads against it. (#14182, #14168, #14130, #14100, #14099, @​serena-ruan)

  • 🧠 Bedrock / Groq Tracing Support: MLflow Tracing now offers a one-line auto-tracing experience for Amazon Bedrock and Groq LLMs. Track LLM invocation within your model by simply adding mlflow.bedrock.tracing or mlflow.groq.tracing call to the code. (#14018, @​B-Step62, #14006, @​anumita0203)

  • 🗒️ Inline Trace Rendering in Jupyter Notebook: MLflow now supports rendering a trace UI within the notebook where you are running models. This eliminates the need to frequently switch between the notebook and browser, creating a seamless local model debugging experience. (#13955, @​daniellok-db)

  • ⚡️Faster Model Validation with uv Package Manager: MLflow has adopted uv, a new Rust-based, super-fast Python package manager. This release adds support for the new package manager in the mlflow.models.predict API, enabling faster model environment validation. Stay tuned for more updates! (#13824, @​serena-ruan)

  • 🖥️ New Chat Panel in Trace UI: THe MLflow Trace UI now shows a unified chat panel for LLM invocations. The update allows you to view chat messages and function calls in a rich and consistent UI across LLM providers, as well as inspect the raw input and output payloads. (#14211, @​TomuHirata)

Other Features:

Bug fixes:

Documentation updates:

Small bug fixes and documentation updates:

#14294, #14252, #14233, #14205, #14217, #14172, #14188, #14167, #14166, #14163, #14162, #14161, #13971, @​TomeHirata; #14299, #14280, #14279, #14278, #14272, #14270, #14268, #14269, #14263, #14258, #14222, #14248, #14128, #14112, #14111, #14093, #14096, #14095, #14090, #14089, #14085, #14078, #14074, #14070, #14053, #14060, #14035, #14014, #14002, #14000, #13997, #13996, #13995, @​harupy; #14298, #14286, #14249, #14276, #14259, #14242, #14254, #14232, #14207, #14206, #14185, #14196, #14193, #14173, #14164, #14159, #14165, #14152, #14151, #14126, #14069, #13987, @​B-Step62; #14295, #14265, #14271, #14262, #14235, #14239, #14234, #14228, #14227, #14229, #14218, #14216, #14213, #14208, #14204, #14198, #14187, #14181, #14177, #14176, #14156, #14169, #14099, #14086, #13983, @​serena-ruan; #14155, #14067, #14140, #14132, #14072, @​daniellok-db; #14178, @​emmanuel-ferdman; #14247, @​dbczumar; #13789, #14108, @​dsuhinin; #14212, @​aravind-segu; #14223, #14191, #14084, @​dsmilkov; #13804, @​kriscon-db; #14158, @​Lodewic; #14148, #14147, #14115, #14079, #14116, @​WeichenXu123; #14135, @​brilee; #14133, @​manos02; #14121, @​LeahKorol; #14025, @​nojaf; #13948, @​benglewis; #13942, @​justsomerandomdude264; #14003, @​Ajay-Satish-01; #13982, @​prithvikannan; #13638, @​MaxwellSalmon

MLflow 2.20.0rc0

Release Candidate

MLflow 2.20.0rc0 is a release candidate for 2.20.0. To install, run the following command:

</tr></table> 

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.20.0 (2025-01-23)

We are excited to announce the release of MLflow 2.20.0! This release includes a number of significant features, enhancements, and bug fixes.

Major New Features

  • 💡Type Hint-Based Model Signature: Define your model's signature in the most Pythonic way. MLflow now supports defining a model signature based on the type hints in your PythonModel's predict function, and validating input data payloads against it. (#14182, #14168, #14130, #14100, #14099, @​serena-ruan)

  • 🧠 Bedrock / Groq Tracing Support: MLflow Tracing now offers a one-line auto-tracing experience for Amazon Bedrock and Groq LLMs. Track LLM invocation within your model by simply adding mlflow.bedrock.tracing or mlflow.groq.tracing call to the code. (#14018, @​B-Step62, #14006, @​anumita0203)

  • 🗒️ Inline Trace Rendering in Jupyter Notebook: MLflow now supports rendering a trace UI within the notebook where you are running models. This eliminates the need to frequently switch between the notebook and browser, creating a seamless local model debugging experience. (#13955, @​daniellok-db)

  • ⚡️Faster Model Validation with uv Package Manager: MLflow has adopted uv, a new Rust-based, super-fast Python package manager. This release adds support for the new package manager in the mlflow.models.predict API, enabling faster model environment validation. Stay tuned for more updates! (#13824, @​serena-ruan)

  • 🖥️ New Chat Panel in Trace UI: THe MLflow Trace UI now shows a unified chat panel for LLM invocations. The update allows you to view chat messages and function calls in a rich and consistent UI across LLM providers, as well as inspect the raw input and output payloads. (#14211, @​TomuHirata)

Other Features:

Bug fixes:

Documentation updates:

Small bug fixes and documentation updates:

#14294, #14252, #14233, #14205, #14217, #14172, #14188, #14167, #14166, #14163, #14162, #14161, #13971, @​TomeHirata; #14299, #14280, #14279, #14278, #14272, #14270, #14268, #14269, #14263, #14258, #14222, #14248, #14128, #14112, #14111, #14093, #14096, #14095, #14090, #14089, #14085, #14078, #14074, #14070, #14053, #14060, #14035, #14014, #14002, #14000, #13997, #13996, #13995, @​harupy; #14298, #14286, #14249, #14276, #14259, #14242, #14254, #14232, #14207, #14206, #14185, #14196, #14193, #14173, #14164, #14159, #14165, #14152, #14151, #14126, #14069, #13987, @​B-Step62; #14295, #14265, #14271, #14262, #14235, #14239, #14234, #14228, #14227, #14229, #14218, #14216, #14213, #14208, #14204, #14198, #14187, #14181, #14177, #14176, #14156, #14169, #14099, #14086, #13983, @​serena-ruan; #14155, #14067, #14140, #14132, #14072, @​daniellok-db; #14178, @​emmanuel-ferdman; #14247, @​dbczumar; #13789, #14108, @​dsuhinin; #14212, @​aravind-segu; #14223, #14191, #14084, @​dsmilkov; #13804, @​kriscon-db; #14158, @​Lodewic; #14148, #14147, #14115, #14079, #14116, @​WeichenXu123; #14135, @​brilee; #14133, @​manos02; #14121, @​LeahKorol; #14025, @​nojaf; #13948, @​benglewis; #13942, @​justsomerandomdude264; #14003, @​Ajay-Satish-01; #13982, @​prithvikannan; #13638, @​MaxwellSalmon

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Bumps the pip-others group with 1 update: [mlflow](https://github.com/mlflow/mlflow).


Updates `mlflow` from 2.19.0 to 2.20.0
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v2.19.0...v2.20.0)

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

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added DEPENDENCY Any changes in any dependencies (new dep or its version) should be produced via Change Request on PM python Pull requests that update Python code labels Jan 23, 2025
@github-actions github-actions bot added the BUILD label Jan 23, 2025
@sovrasov sovrasov merged commit 24b0b9f into develop Jan 23, 2025
22 of 23 checks passed
@sovrasov sovrasov deleted the dependabot/pip/pip-others-0db06cfe24 branch January 23, 2025 14:22
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