Update dependency mlflow to v2

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
mlflow	==1.20.0 -> ==2.22.1

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Release Notes

mlflow/mlflow (mlflow)

v2.22.1

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MLflow 2.22.1 includes several major features and improvements

Features:

• [Scoring] For DBConnect client, make spark_udf support DBR 15.4 and DBR dedicated cluster (#​15938, @​WeichenXu123)

Bug fixes:

• [Model Registry] Log Resources from SystemAuthPolicy in CreateModelVersion (#​15485, @​aravind-segu)
• [Tracking] Trace search: Avoid spawning threads for span fetching if include_spans=False (#​15635, @​dbczumar)

Documentation updates:

• [Docs] Spark UDF Doc update (#​15586, @​WeichenXu123)

Small bug fixes and documentation updates:

#​15523, #​15728, @​TomeHirata; #​13997, #​16025, #​15647, #​16030, @​harupy; #​15786, @​rahuja23; #​15703, @​joelrobin18; #​15612, @​serena-ruan; #​16031, @​daniellok-db; #​15841, @​frontsideair; #​15807, @​B-Step62

v2.22.0

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MLflow 2.22.0 brings important bug fixes and improves the UI and tracking capabilities.

Features:

• [Tracking] Supported tracing for OpenAI Responses API.
  (#​15240, @​B-Step62)
• [Tracking] Introduced get_last_active_trace, which affects model serving/monitoring logic.
  (#​15233, @​B-Step62)
• [Tracking] Introduced async export for Databricks traces (default behavior).
  (#​15163, @​B-Step62)
• [AI Gateway] Added Gemini embeddings support with corresponding unit tests.
  (#​15017, @​joelrobin18)
• [Tracking / SQLAlchemy] MySQL SSL connections are now supported with client certs.
  (#​14839, @​aksylumoed)
• [Models] Added Optuna storage utility for enabling parallel hyperparameter tuning.
  (#​15243, @​XiaohanZhangCMU)
• [Artifacts] Added support for Azure Data Lake Storage (ADLS) artifact repositories.
  (#​14723, @​serena-ruan)
• [UI] Artifact views for text now auto-refresh in the UI.
  (#​14939, @​joelrobin18)

Bug Fixes:

• [Tracking / UI] Fixed serialization for structured output in langchain_tracer + added unit tests.
  (#​14971, @​joelrobin18)
• [Server-infra] Enforced password validation for authentication (min. 8 characters).
  (#​15287, @​WeichenXu123)
• [Deployments] Resolved an issue with the OpenAI Gateway adapter.
  (#​15286, @​WeichenXu123)
• [Artifacts / Tracking / Server-infra] Normalized paths by stripping trailing slashes.
  (#​15016, @​tarek7669)
• [Tags] Fixed bug where tag values containing ": " were being truncated.
  (#​14896, @​harupy)

Small bug fixes and documentation updates:

#​15396, #​15379, #​15292, #​15305, #​15078, #​15251, #​15267, #​15208, #​15104, #​15045, #​15084, #​15055, #​15056, #​15048, #​14946, #​14956, #​14903, #​14854, #​14830, @​serena-ruan; #​15417, #​15256, #​15186, #​15007, @​TomeHirata; #​15119, @​bbqiu; #​15413, #​15314, #​15311, #​15303, #​15301, #​15288, #​15275, #​15269, #​15272, #​15268, #​15262, #​15266, #​15264, #​15261, #​15252, #​15249, #​15244, #​15236, #​15235, #​15237, #​15140, #​14982, #​14898, #​14893, #​14861, #​14870, #​14853, #​14849, #​14813, #​14822, @​harupy; #​15333, #​15298, #​15300, #​15156, #​15019, #​14957, @​B-Step62; #​15313, #​15297, #​14880, @​daniellok-db; #​15066, #​15074, #​14913, @​joelrobin18; #​15232, @​kbolashev; #​15242, @​dbczumar; #​15210, #​15178, @​WeichenXu123; #​15187, #​15177, @​hubertzub-db; #​15059, #​15070, #​15050, #​15012, #​14959, #​14918, #​15005, #​14965, #​14858, #​14930, #​14927, #​14786, #​14883, #​14863, #​14852, #​14788, @​Gumichocopengin8; #​14920, #​14919, @​jaceklaskowski

v2.21.3

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MLflow 2.21.3 includes a few bugi

Bug fixes:

• [Tracking] Fix spark ML save model error in Databricks shared or serverless cluster (#​15198, @​WeichenXu123)
• [Tracking] Fix Spark model logging / loading in Databricks shared cluster and serverless (#​15075, @​WeichenXu123)

Documentation updates:

• [Docs] Add document page for DSPy optimizer tracking (#​15143, @​TomeHirata)

Small bug fixes and documentation updates:

#​15205, @​mlflow-app[bot]; #​15184, #​15157, #​15137, @​TomeHirata; #​15085, @​B-Step62; #​15118, @​bbqiu; #​15172, @​harupy

v2.21.2

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MLflow 2.21.2 is a patch release that introduces minor features and bug fixes.

• Fix connection exhausting when exporting traces to Databricks (#​15124, @​B-Step62)
• Add logging of result table for DSPy optimizer tracking (#​15061, @​TomeHirata)

v2.21.1

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MLflow 2.21.1 is a patch release that introduces minor features and addresses some minor bugs.

Features:

• [Tracking] Introduce support for logging evaluations within DSPy (#​14962, @​TomeHirata)
• [Tracking] Add support for run creation when DSPy compile is executed (#​14949, @​TomeHirata)
• [Docker / Sagemaker] Add support for building a SageMaker serving container that does not contain Java via the --install-java option (#​14868, @​rgangopadhya)

Bug fixes:

• [Tracing] Fix an issue with trace ordering due to a timestamp conversion timezone bug (#​15094, @​orm011)
• [Tracking] Fix a typo in the environment variable OTEL_EXPORTER_OTLP_PROTOCOL definition (#​15008, @​gabrielfu)
• [Tracking] Fix an issue in shared and serverless clusters on Databricks when logging Spark Datasources when using the evaluate API (#​15077, @​WeichenXu123)
• [UI] Fix a rendering issue with displaying images from within the metric tab in the UI (#​15034, @​TomeHirata)

Documentation updates:

• [Docs] Add additional contextual information within the set_retriever_schema API docs (#​15099, @​smurching)

Small bug fixes and documentation updates:

#​15009, #​14995, #​15039, #​15040, @​TomeHirata; #​15010, #​15053, @​B-Step62; #​15014, #​15025, #​15030, #​15050, #​15070, @​Gumichocopengin8; #​15035, #​15064, @​joelrobin18; #​15058, @​serena-ruan; #​14945, @​turbotimon

v2.21.0

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We are excited to announce the release of MLflow 2.21.0! This release includes a number of significant features, enhancements, and bug fixes.

Major New Features

• 📚 Documentation Redesign: MLflow documentation is fully revamped with a new MDX-based website that provides better navigation and makes it easier to find the information you need! (#​13645, @​daniellok-db)
• 🤖 Prompt Registry: MLflow Prompt Registry is a powerful tool that streamlines prompt engineering and management in your GenAI applications. It enables you to version, track, and reuse prompts across your organization. (#​14795, #​14834, #​14936, @​B-Step62, #​14960, #​14984, @​daniellok-db, #​14909, @​hubertzub-db)
• ⚡️ FastAPI Scoring Server: The MLflow inference server has been migrated from Flask to FastAPI, enabling ASGI-based scalable inference for improved performance and throughput. (#​14307, @​TomeHirata)
• 🔍 Enhanced Tracing Capabilities: MLflow Tracing now supports synchronous/asynchronous generators and auto-tracing for Async OpenAI, providing more flexible and comprehensive tracing options. (#​14459, #​14400, #​14793, @​14792, @​B-Step62)

Features:

• [Tracking] Support OpenAI Agent SDK Auto Tracing (#​14987, @​B-Step62)
• [Sqlalchemy / Tracking] Support mysql ssl connections with client certs (#​14839, @​aksylumoed)
• [Artifacts] Supports ADLS artifact repo (#​14723, @​serena-ruan)
• [Tracking] Add import and docs for txtai integration (#​14712, @​B-Step62)
• [Models] Introduce User Auth Policy for Pyfunc Models (#​14538, @​aravind-segu)
• [Tracking] Support new Google GenAI SDK (#​14576, @​TomeHirata)
• [Tracking] Support generating traces from DSPy built-in compilation and evaluation (#​14400, @​B-Step62)
• [Tracking] Add mlflow.log_trace API (#​14418, @​TomeHirata)
• [Models] ChatAgent LangGraph and LangChain Connectors (#​14215, @​bbqiu)

Bug fixes:

• [Models] Fix infinite recursion error with warning handler module (#​14954, @​BenWilson2)
• [Model Registry] Fix invalid type issue for ModelRegistry RestStore (#​14980, @​B-Step62)
• [Tracking] Fix: ExperimentViewRunsControlsActionsSelectTags doesn't set loading state to false when set-tag request fails. (#​14907, @​harupy)
• [Tracking] Fix a bug in tag creation where tag values containing ": " get truncated (#​14896, @​harupy)
• [Tracking] Fix false alert from AMD GPU monitor (#​14884, @​B-Step62)
• [Tracking] Fix mlflow.doctor to fall back to mlflow-skinny when mlflow is not found (#​14782, @​harupy)
• [Models] Handle LangGraph breaking change (#​14794, @​B-Step62)
• [Tracking] Fix DSPy tracing in serving (#​14743, @​B-Step62)
• [Tracking] Add limit to the length of experiment artifact locations (#​14416, @​daniellok-db)
• [Build] Fix build.py to restore specific files #​14444 (#​14448, @​arunkothari84)
• [Models] Fix false alert for ChatModel type hint (#​14343, @​B-Step62)
• [Model Registry] use aes256 to talk to s3 (#​14354, @​artjen)
• [Tracking] Fix LiteLLM autologging (#​14340, @​B-Step62)
• [Models] Fix ChatCompletionResponse for model serving Pydantic 1.x (#​14332, @​BenWilson2)

Documentation updates:

• [Tracking] Add guide about using MLflow tracing across thread (#​14881, @​B-Step62)
• [Docs] Add guide for tracing deepseek (#​14826, @​B-Step62)
• [Docs] Update llama Jupyter notebook source (#​14754, @​emmanuel-ferdman)
• [Docs] Replace Databricks Community Edition with Lighthouse [1] (#​14642, @​TomeHirata)
• [Docs] Update models from code guide and chat model guide to always recommend models from code (#​14370, @​smurching)
• [Artifacts] [DOC-FIX #​14183] Improve documentation for 'artifact_uri' in 'download_artifacts' (#​14225, @​vinayakkgarg)

Small bug fixes and documentation updates:

#​14994, #​14992, #​14990, #​14979, #​14964, #​14969, #​14944, #​14948, #​14957, #​14958, #​14942, #​14940, #​14935, #​14929, #​14805, #​14876, #​14833, #​14748, #​14744, #​14666, #​14668, #​14664, #​14667, #​14580, #​14475, #​14439, #​14397, #​14363, #​14361, #​14377, #​14378, #​14337, #​14324, #​14339, #​14259, @​B-Step62; #​14981, #​14943, #​14914, #​14930, #​14924, #​14927, #​14786, #​14910, #​14859, #​14891, #​14883, #​14863, #​14852, #​14788, @​Gumichocopengin8; #​14946, #​14978, #​14956, #​14906, #​14903, #​14854, #​14860, #​14857, #​14824, #​14830, #​14767, #​14772, #​14770, #​14766, #​14651, #​14629, #​14636, #​14572, #​14498, #​14328, #​14265, @​serena-ruan; #​14989, #​14895, #​14880, #​14878, #​14866, #​14821, #​14817, #​14815, #​14765, #​14803, #​14773, #​14783, #​14784, #​14776, #​14759, #​14541, #​14553, #​14540, #​14499, #​14495, #​14481, #​14479, #​14456, #​14022, #​14411, #​14407, #​14408, #​14315, #​14346, #​14325, #​14322, #​14326, #​14310, #​14309, #​14320, #​14308, @​daniellok-db; #​14986, #​14904, #​14898, #​14893, #​14861, #​14870, #​14853, #​14849, #​14813, #​14822, #​14818, #​14802, #​14804, #​14814, #​14779, #​14796, #​14735, #​14731, #​14728, #​14734, #​14727, #​14726, #​14721, #​14719, #​14716, #​14692, #​14683, #​14687, #​14684, #​14674, #​14673, #​14662, #​14652, #​14650, #​14648, #​14647, #​14646, #​14639, #​14637, #​14635, #​14634, #​14633, #​14630, #​14628, #​14624, #​14623, #​14621, #​14619, #​14615, #​14613, #​14603, #​14601, #​14600, #​14597, #​14570, #​14564, #​14554, #​14551, #​14550, #​14515, #​14529, #​14528, #​14525, #​14516, #​14514, #​14486, #​14476, #​14472, #​14477, #​14364, #​14431, #​14414, #​14398, #​14412, #​14399, #​14359, #​14369, #​14381, #​14349, #​14350, #​14347, #​14348, #​14342, #​14329, #​14250, #​14318, #​14323, #​14306, #​14280, #​14279, #​14272, #​14270, #​14263, #​14222, @​harupy; #​14985, #​14850, #​14800, #​14799, #​14671, #​14665, #​14594, #​14506, #​14457, #​14395, #​14371, #​14360, #​14327, @​TomeHirata; #​14755, #​14567, #​14367, @​bbqiu; #​14892, @​brilee; #​14941, #​14932, @​hubertzub-db; #​14913, @​joelrobin18; #​14756, @​jiewpeng; #​14701, @​jaceklaskowski; #​14568, #​14450, @​BenWilson2; #​14535, @​njbrake; #​14507, @​arunprd; #​14489, @​RuchitAgrawal; #​14467, @​seal07; #​14460, @​ManzoorAhmedShaikh; #​14374, @​wasup-yash; #​14333, @​singh-kristian; #​14362, #​14353, #​14296, #​13789, @​dsuhinin; #​14358, @​apoxnen; #​14335, @​Fresnel-Fabian; #​14178, @​emmanuel-ferdman

v2.20.4

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MLflow 2.20.4 is a tiny patch release to include a bug fix:

• [Tracking] fix: remove log_trace at top level module (#​14873, @​yxtay)

v2.20.3

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MLflow 2.20.3 is a patch release includes several major features and improvements

Features:

• Implemented GPU metrics for AMD/HIP GPUs (#​12694, @​evenmn)
• Add txtai tracing integration (#​14712, @​B-Step62)
• Support new Google GenAI SDK (#​14576, @​TomeHirata)
• Support the new thinking content block in Anthropic Claude 3.7 models (#​14733, @​B-Step62)

Bug fixes:

• Resolve LangGraph tracing bug with astream_event API (#​14598, @​B-Step62)

Small bug fixes and documentation updates:

#​14640, #​14574, #​14593, @​serena-ruan; #​14338, #​14693, #​14664, #​14663, #​14377, @​B-Step62; #​14680, @​JulesLandrySimard; #​14388, #​14685, @​harupy; #​14704, @​brilee; #​14698, #​14658, @​bbqiu; #​14660, #​14659, #​14632, #​14616, #​14594, @​TomeHirata; #​14535, @​njbrake

v2.20.2

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MLflow 2.20.2 is a patch release includes several bug fixes and features

Features:

• [Tracing] Support tracing sync/async generator function with @​mlflow.trace (#​14459, @​B-Step62)
• [Tracing] Support generating traces from DSPy built-in compilation and evaluation (#​14400, @​B-Step62)
• [Models] ChatAgent interface enhancements and Langgraph connectors updates (#​14368, #​14567, @​bbqiu)
• [Models] VariantType support in spark_udf (#​14317, @​serena-ruan)

Bug fixes:

• [Models] DSPy thread issue fix (#​14471, @​chenmoneygithub)

Documentation updates:

• [Docs] ChatAgent documentation updates (#​14367, @​bbqiu)

Small bug fixes and documentation updates:

#​14410, #​14569, #​14440, @​harupy; #​14510, #​14544, #​14491, #​14488, @​bbqiu; #​14518, @​serena-ruan; #​14517, #​14500, #​14461, #​14478, @​TomeHirata; #​14512, @​shaikmoeed; #​14496, #​14473, #​14475, @​B-Step62; #​14467, @​seal07; #​14022, #​14453, #​14539, @​daniellok-db; #​14450, @​BenWilson2; #​14449, @​SaiMadhavanG

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 suppo

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