Update dependency mlflow to v2.20.1

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
mlflow	==2.18.0 -> ==2.20.1

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Release Notes

mlflow/mlflow (mlflow)

v2.20.1

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MLflow 2.20.1 is a patch release includes several bug fixes and features:

Features:

• Spark_udf support for the model signatures based on type hints (#​14265, @​serena-ruan)
• Helper connectors to use ChatAgent with LangChain and LangGraph (#​14215, @​bbqiu)
• Update classifier evaluator to draw RUC/Lift curves for CatBoost models by default (#​14333, @​singh-kristian)

Bug fixes:

• Fix Pydantic 1.x incompatibility issue (#​14332, @​BenWilson2)
• Apply temporary fix for LiteLLM tracing to workaround https://github.com/BerriAI/litellm/issues/8013 (#​14340, @​B-Step62)
• Fix false alert from type hint based model signature for ChatModel (#​14343, @​B-Step62)

Other small updates:

#​14337, #​14382, @​B-Step62; #​14356, @​daniellok-db, #​14354, @​artjen, #​14360, @​TomuHirata,

v2.20.0

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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 0584bdc (#​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

v2.19.0

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

Major New Features

• ChatModel enhancements - ChatModel now adopts ChatCompletionRequest and ChatCompletionResponse as its new schema. The predict_stream interface uses ChatCompletionChunk to deliver true streaming responses. Additionally, the custom_inputs and custom_outputs fields in ChatModel now utilize AnyType, enabling support for a wider variety of data types. Note: In a future version of MLflow, ChatParams (and by extension, ChatCompletionRequest) will have the default values for n, temperature, and stream removed. (#​13782, #​13857, @​stevenchen-db)

• Tracing improvements - MLflow Tracing now supports both automatic and manual tracing for DSPy, LlamaIndex and Langchain flavors. Tracing feature is also auto-enabled for mlflow evaluation for all supported flavors. (#​13790, #​13793, #​13795, #​13897, @​B-Step62)

• New Tracing Integrations - MLflow Tracing now supports CrewAI and Anthropic, enabling a one-line, fully automated tracing experience. (#​13903, @​TomeHirata, #​13851, @​gabrielfu)

• Any Type in model signature - MLflow now supports AnyType in model signature. It can be used to host any data types that were not supported before. (#​13766, @​serena-ruan)

Other Features:

• [Tracking] Add update_current_trace API for adding tags to an active trace. (#​13828, @​B-Step62)
• [Deployments] Update databricks deployments to support AI gateway & additional update endpoints (#​13513, @​djliden)
• [Models] Support uv in mlflow.models.predict (#​13824, @​serena-ruan)
• [Models] Add type hints support including pydantic models (#​13924, @​serena-ruan)
• [Tracking] Add the trace.search_spans() method for searching spans within traces (#​13984, @​B-Step62)

Bug fixes:

• [Tracking] Allow passing in spark connect dataframes in mlflow evaluate API (#​13889, @​WeichenXu123)
• [Tracking] Fix mlflow.end_run inside a MLflow run context manager (#​13888, @​WeichenXu123)
• [Scoring] Fix spark_udf conditional check on remote spark-connect client or Databricks Serverless (#​13827, @​WeichenXu123)
• [Models] Allow changing max_workers for built-in LLM-as-a-Judge metrics (#​13858, @​B-Step62)
• [Models] Support saving all langchain runnables using code-based logging (#​13821, @​serena-ruan)
• [Model Registry] return empty array when DatabricksSDKModelsArtifactRepository.list_artifacts is called on a file (#​14027, @​shichengzhou-db)
• [Tracking] Stringify param values in client.log_batch() (#​14015, @​B-Step62)
• [Tracking] Remove deprecated squared parameter (#​14028, @​B-Step62)
• [Tracking] Fix request/response field in the search_traces output (#​13985, @​B-Step62)

Documentation updates:

• [Docs] Add Ollama and Instructor examples in tracing doc (#​13937, @​B-Step62)

Small bug fixes and documentation updates:

#​13972, #​13968, #​13917, #​13912, #​13906, #​13846, @​serena-ruan; #​13969, #​13959, #​13957, #​13958, #​13925, #​13882, #​13879, #​13881, #​13869, #​13870, #​13868, #​13854, #​13849, #​13847, #​13836, #​13823, #​13811, #​13820, #​13775, #​13768, #​13764, @​harupy; #​13960, #​13914, #​13862, #​13892, #​13916, #​13918, #​13915, #​13878, #​13891, #​13863, #​13859, #​13850, #​13844, #​13835, #​13818, #​13762, @​B-Step62; #​13913, #​13848, #​13774, @​TomeHirata; #​13936, #​13954, #​13883, @​daniellok-db; #​13947, @​AHB102; #​13929, #​13922, @​Ajay-Satish-01; #​13857, @​stevenchen-db; #​13773, @​BenWilson2; #​13705, @​williamjamir; #​13745, #​13743, @​WeichenXu123; #​13895, @​chenmoneygithub; #​14023, @​theBeginner86

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