Chore(deps): Bump mlflow from 2.14.1 to 2.20.0

[dependabot]

Bumps mlflow from 2.14.1 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. Check out this blog post for a quick demo! (#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:

• Introduced ChatAgent base class for defining custom python agent (#13797, @​bbqiu)
• Supported Tool Calling in DSPy Tracing (#14196, @​B-Step62)
• Applied timeout override to within-request local scoring server for Spark UDF inference (#14202, @​BenWilson2)
• Supported dictionary type for inference params (#14091, @​serena-ruan)
• Make context parameter optional for calling PythonModel instance (#14059, @​serena-ruan)
• Set default task for ChatModel (#14068, @​stevenchen-db)

Bug fixes:

• [Tracking] Fix filename encoding issue in log_image (#14281, @​TomeHirata)
• [Models] Fix the faithfulness metric for custom override parameters supplied to the callable metric implementation (#14220, @​BenWilson2)
• [Artifacts] Update presigned URL list_artifacts to return an empty list instead of an exception (#14203, @​arpitjasa-db)
• [Tracking] Fix rename permission model registry (#14139, @​MohamedKHALILRouissi)
• [Tracking] Fix hard-dependency to langchain package in autologging (#14125, @​B-Step62)
• [Tracking] Fix constraint name for MSSQL in migration 0584bdc529eb (#14146, @​daniellok-db)
• [Scoring] Fix uninitialized loaded_model variable (#14109, @​yang-chengg)
• [Model Registry] Return empty array when DatabricksSDKModelsArtifactRepository.list_artifacts is called on a file (#14027, @​shichengzhou-db)

Documentation updates:

• [Docs] Add a quick guide for how to host MLflow on various platforms (#14289, @​B-Step62)
• [Docs] Improve documentation for 'artifact_uri' in 'download_artifacts' (#14225, @​vinayakkgarg)
• [Docs] Add a page for search_traces (#14033, @​TomeHirata)

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. Check out this blog post for a quick demo! (#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:

• Introduced ChatAgent base class for defining custom python agent (#13797, @​bbqiu)
• Supported Tool Calling in DSPy Tracing (#14196, @​B-Step62)
• Applied timeout override to within-request local scoring server for Spark UDF inference (#14202, @​BenWilson2)
• Supported dictionary type for inference params (#14091, @​serena-ruan)
• Make context parameter optional for calling PythonModel instance (#14059, @​serena-ruan)
• Set default task for ChatModel (#14068, @​stevenchen-db)

Bug fixes:

• [Tracking] Fix filename encoding issue in log_image (#14281, @​TomeHirata)
• [Models] Fix the faithfulness metric for custom override parameters supplied to the callable metric implementation (#14220, @​BenWilson2)
• [Artifacts] Update presigned URL list_artifacts to return an empty list instead of an exception (#14203, @​arpitjasa-db)
• [Tracking] Fix rename permission model registry (#14139, @​MohamedKHALILRouissi)
• [Tracking] Fix hard-dependency to langchain package in autologging (#14125, @​B-Step62)
• [Tracking] Fix constraint name for MSSQL in migration 0584bdc529eb (#14146, @​daniellok-db)
• [Scoring] Fix uninitialized loaded_model variable (#14109, @​yang-chengg)
• [Model Registry] Return empty array when DatabricksSDKModelsArtifactRepository.list_artifacts is called on a file (#14027, @​shichengzhou-db)

Documentation updates:

• [Docs] Add a quick guide for how to host MLflow on various platforms (#14289, @​B-Step62)
• [Docs] Improve documentation for 'artifact_uri' in 'download_artifacts' (#14225, @​vinayakkgarg)
• [Docs] Add a page for search_traces (#14033, @​TomeHirata)

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

2.19.0 (2024-12-11)

We are excited to announce the release of MLflow 2.19.0! This release includes a number of significant features, enhancements, and bug fixes.

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Commits

• 619d0c3 Run python3 dev/update_mlflow_versions.py pre-release ... (#14311)
• f4570ad Fix ContentEncoding value (#14258)
• a0e0eec Infer signature from example for callable (#14294)
• 235a800 Fix notebook existence check on databricks (#14299)
• acee1cd Support timeout for a trace (#14288)
• fe63a3e Fix type hint warning when importing builtin class (#14298)
• 4ee0670 Add link to documentation in error message (#14295)
• 3ce0203 Add a quick guide for how to host MLflow on various platforms (#14289)
• e076b8b Fix filename encoding issue in log_image (#14281)
• 79664cc Fix groq logo (#14286)
• Additional commits viewable in compare view

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