MLflow 3.2.0 includes several major features and improvements

Major New Features

• 🧭 Tracing TypeScript SDK: MLflow Tracing now supports the TypeScript SDK, allowing developers to trace GenAI applications in TypeScript environments. (#16871, @B-Step62)
• 🔗 Semantic Kernel Tracing: MLflow now provides automatic tracing support for Semantic Kernel, simplifying trace capture for SK-based workflows. (#16469, @michael-berk)
• 🧪 Feedback Tracking: MLflow OSS now natively supports tracking human feedbacks, ground truths, LLM judges on traces, providing integrated quality monitoring and feedback management capabilities. (#16743, @BenWilson2)
• 🖥️ MLflow UI Improvements: The MLflow UI now features a redesigned experiment home view and includes enhancements like pagination on the model page for better usability. (#16464, @frontsideair, #15801, @Flametaa)
• 🔍 Updated Trace UI: The Trace UI now has image support when rendering chat messages for OpenAI, Langchain, and Anthropic! Additionally, we're introducing a "summary view" which is a simplified, flat representation of the important spans in a trace. The full detail view is still available in a separate tab.
• 🛡️ PII Masking in Tracing: Added support for masking personally identifiable information (PII) via a custom span post-processor. (#16344, @B-Step62)
• 🐻‍❄️ Polars Dataset Support: MLflow now supports Polars datasets, expanding compatibility with performant DataFrame libraries. (#13006, @AlpAribal)

📊 Usage Tracking (New in 3.2.0)

• Starting with version 3.2.0, MLflow will begin collecting anonymized usage data about how core features of the platform are used. This data contains no sensitive or personally identifiable information, and users can opt out of data collection at any time. Check MLflow documentation for more details. If you have questions or feedback, please visit this Github Issue. (#16439, @serena-ruan)

Features:

• [Tracing] Include mlflow-tracing as a dependency of mlflow (#16589, @B-Step62)
• [Tracing] Convert DatabricksRM output to MLflow document format (#16866, @WeichenXu123)
• [Tracing] Add unified token usage tracking for Bedrock LLMs (#16351, @mohammadsubhani)
• [Tracing] Token usage tracking for agent frameworks including Anthropic, Autogen, LlamaIndex etc. (#16251, #16362, #16246, #16258, #16313, #16312, #16340, #16357, #16358, @joelrobin18, #16387, @sanatb187)
• [Tracing] Render multi-modal trace for LangChain (#16799, @B-Step62)
• [Tracing] Support async tracing for Gemini (#16632, @B-Step62)
• [Tracing] Support global sampling for tracing (#16700, @B-Step62)
• [Tracing] ResponsesAgent tracing aggregation (#16787, @bbqiu)
• [Tracing] Add Agent and LLM complete name (#16613, @joelrobin18)
• [Tracking] Allow setting thread-local tracing destination via mlflow.tracing.set_destination (#16859, @WeichenXu123)
• [Tracking] Introduce MLFLOW_DISABLE_SCHEMA_DETAILS environment variable to toggle detailed schema errors (#16631, @NJAHNAVI2907)
• [Tracking] Add support for chat-style prompts with structured output with prompt object (#16341, @harshilprajapati96)
• [Tracking] Add support for responses.parse calls in oai autologger (#16245, @dipakkrishnan)
• [Tracking] Add support for uv as an environment manager in mlflow run (#16274, @isuyyy)
• [Evaluation] Replace guideline_adherence to guidelines (#16856, @smoorjani)
• [Evaluation] Replace Scheduled Scorers API to a Scorer Registration System (#16977, @dbrx-euirim)
• [UI] Add tag filter to the experiments page (#16648, @frontsideair)
• [UI] Add ability to the UI to edit experiment tags (#16614, @frontsideair)
• [UI] Create runs table using selected columns in the experiment view (#16804, @wangh118)
• [Scoring] Make spark_udf support 'uv' env manager (#16292, @WeichenXu123)

Bug fixes:

• [Tracking / UI] Add missing default headers and replace absolute URLs in new browser client requests (GraphQL & logged models) (#16840, @danilopeixoto)
• [Tracking] Fix tracking_uri positional argument bug in artifact repositories (#16878, @copilot-swe-agent)
• [Models] Fix UnionType support for Python 3.10 style union syntax (#16882, @harupy)
• [Tracing / Tracking] Fix OpenAI autolog Pydantic validation for enum values (#16862, @mohammadsubhani)
• [Tracking] Fix tracing for Anthropic and Langchain combination (#15151, @maver1ck)
• [Models] Fix OpenAI multimodal message logging support (#16795, @mohammadsubhani)
• [Tracing] Avoid using nested threading for Azure Databricks trace export (#16733, @TomeHirata)
• [Evaluation] Bug fix: Databricks GenAI evaluation dataset source returns string, instead of DatasetSource instance (#16712, @dbczumar)
• [Models] Fix get_model_info to provide logged model info (#16713, @harupy)
• [Evaluation] Fix serialization and deserialization for python scorers (#16688, @connorchenn)
• [UI] Fix GraphQL handler erroring on NaN metric values (#16628, @daniellok-db)
• [UI] Add back video artifact preview (#16620, @daniellok-db)
• [Tracing] Proper chat message reconstruction from OAI streaming response (#16519, @B-Step62)
• [Tracing] Convert trace column in search_traces() response to JSON string (#16523, @B-Step62)
• [Evaluation] Fix mlflow.evaluate crashes in _get_binary_classifier_metrics due to … (#16485, @mohammadsubhani)
• [Evaluation] Fix trace detection logic for mlflow.genai.evaluate (#16932, @B-Step62)
• [Evaluation] Enable to use make_genai_metric_from_prompt for mlflow.evaluate (#16960, @TomeHirata)
• [Models] Add explicit encoding for decoding streaming Responses (#16855, @aravind-segu)
• [Tracking] Prevent from tracing DSPy model API keys (#17021, @czyzby)
• [Tracking] Fix pytorch datetime issue (#17030, @serena-ruan)
• [Tracking] Fix predict with pre-releases (#16998, @serena-ruan)

Documentation updates:

• [Docs] Overhaul of top level version management GenAI docs (#16728, @BenWilson2)
• [Docs] Fix Additional GenAI Docs pages (#16691, @BenWilson2)
• [Docs] Update the docs selector dropdown (#16280, @BenWilson2)
• [Docs] Update docs font sizing and link coloring (#16281, @BenWilson2)
• [Docs] Fix typo in model deployment page (#16999, @premkiran-o7)

Small bug fixes and documentation updates:

#17003, #17049, #17035, #17026, #16981, #16971, #16953, #16930, #16917, #16738, #16717, #16693, #16694, #16684, #16678, #16656, #16513, #16459, #16277, #16276, #16275, #16170, #16217, @serena-ruan; #16927, #16915, #16913, #16911, #16909, #16889, #16727, #16600, #16543, #16551, #16526, #16533, #16535, #16531, #16472, #16392, #16389, #16385, #16376, #16369, #16367, #16321, #16311, #16307, #16273, #16268, #16265, #16112, #16243, #16231, #16226, #16221, #16196, @copilot-swe-agent; #17050, #17048, #16955, #16894, #16885, #16860, #16841, #16835, #16801, #16701, @daniellok-db; #16898, #16881, #16858, #16735, #16823, #16814, #16647, #16750, #16809, #16794, #16793, #16789, #16780, #16770, #16773, #16771, #16772, #16768, #16752, #16754, #16751, #16748, #16730, #16729, #16346, #16709, #16704, #16703, #16702, #16658, #16662, #16645, #16639, #16640, #16626, #16572, #16566, #16565, #16563, #16561, #16559, #16544, #16539, #16520, #16508, #16505, #16494, #16495, #16491, #16487, #16482, #16473, #16465, #16456, #16458, #16394, #16445, #16433, #16434, #16413, #16417, #16416, #16414, #16415, #16378, #16350, #16323, #15788, #16263, #16256, #16237, #16234, #16219, #16216, #16207, #16199, #16192, #16705, @harupy; #17047, #17017, #17005, #16989, #16952, #16951, #16903, #16900, #16755, #16762, #16757, #15860, #16661, #16630, #16657, #16605, #16602, #16568, #16569, #16553, #16345, #16454, #16489, #16486, #16438, #16266, #16382, #16381, #16303, @B-Step62; #17028, #17027, #17020, @he7d3r; #16969, #16957, #16852, #16829, #16816, #16808, #16775, #16807, #16806, #16624, #16524, #16410, #16403, @TomeHirata; #16987, @wangh118; #16760, #16761, #16736, #16737, #16699, #16718, #16663, #16676, #16574, #16477, #16552, #16527, #16515, #16452, #16210, #16204, #16610, @frontsideair; #16723, #16124, @AveshCSingh; #16744, @BenWilson2; #16683, @dsuhinin; #16877, #16502, @bbqiu; #16619, @AchimGaedkeLynker; #16595, @Aiden-Jeon; #16480, #16479, @shushantrishav; #16398, #16331, #16328, #16329, #16293, @WeichenXu123

• 🧭 Tracing TypeScript SDK: MLflow Tracing now supports the TypeScript SDK, allowing developers to trace GenAI applications in TypeScript environments. (#16871, @B-Step62)
• 🔗 Semantic Kernel Tracing: MLflow now provides automatic tracing support for Semantic Kernel, simplifying trace capture for SK-based workflows. (#16469, @michael-berk)
• 🧪 Feedback Tracking: MLflow OSS now natively supports tracking human feedbacks, ground truths, LLM judges on traces, providing integrated quality monitoring and feedback management capabilities. (#16743, @BenWilson2)
• 🖥️ MLflow UI Improvements: The MLflow UI now features a redesigned experiment home view and includes enhancements like pagination on the model page for better usability. (#16464, @frontsideair, #15801, @Flametaa)
• 🔍 Updated Trace UI: The Trace UI now has image support when rendering chat messages for OpenAI, Langchain, and Anthropic! Additionally, we're introducing a "summary view" which is a simplified, flat representation of the important spans in a trace. The full detail view is still available in a separate tab.
• 🛡️ PII Masking in Tracing: Added support for masking personally identifiable information (PII) via a custom span post-processor. (#16344, @B-Step62)
• 🐻‍❄️ Polars Dataset Support: MLflow now supports Polars datasets, expanding compatibility with performant DataFrame libraries. (#13006, @AlpAribal)

📊 Usage Tracking (New in 3.2.0)

• Starting with version 3.2.0, MLflow will begin collecting anonymized usage data about how core features of the platform are used. This data contains no sensitive or personally identifiable information, and users can opt out of data collection at any time. Check MLflow documentation for more details. If you have questions or feedback, please visit this Github Issue. (#16439, @serena-ruan)

Features:

• [Tracking] Introduce MLFLOW_DISABLE_SCHEMA_DETAILS environment variable to toggle detailed schema errors (#16631, @NJAHNAVI2907)
• [Tracking] Add support for chat-style prompts with structured output with prompt object (#16341, @harshilprajapati96)
• [Tracking] Add support for responses.parse calls in oai autologger (#16245, @dipakkrishnan)
• [Evaluation] Replace guideline_adherence to guidelines (#16856, @smoorjani)
• [UI] Add tag filter to the experiments page (#16648, @frontsideair)
• [UI] Add ability to the UI to edit experiment tags (#16614, @frontsideair)
• [Scoring] Make spark_udf support 'uv' env manager (#16292, @WeichenXu123)

Bug fixes:

• [Tracing] Proper chat message reconstruction from OAI streaming response (#16519, @B-Step62)
• [Tracing] Convert trace column in search_traces() response to JSON string (#16523, @B-Step62)
• [Evaluation] Fix mlflow.evaluate crashes in _get_binary_classifier_metrics due to … (#16485, @mohammadsubhani)

Documentation updates:

• [Docs] Overhaul of top level version management GenAI docs (#16728, @BenWilson2)
• [Docs] Fix Additional GenAI Docs pages (#16691, @BenWilson2)
• [Docs] Update the docs selector dropdown (#16280, @BenWilson2)
• [Docs] Update docs font sizing and link coloring (#16281, @BenWilson2)

Small bug fixes and documentation updates:

#16930, #16917, #16738, #16717, #16693, #16694, #16684, #16678, #16656, #16513, #16459, #16277, #16276, #16275, #16170, #16217, @serena-ruan; #16927, #16915, #16913, #16911, #16909, #16889, #16727, #16600, #16543, #16551, #16526, #16533, #16535, #16531, #16472, #16392, #16389, #16385, #16376, #16369, #16367, #16321, #16311, #16307, #16273, #16268, #16265, #16112, #16243, #16231, #16226, #16221, #16196, @copilot-swe-agent; #16894, #16885, #16860, #16841, #16835, #16801, #16701, @daniellok-db; #16898, #16881, #16858, #16735, #16823, #16814, #16647, #16750, #16809, #16794, #16793, #16789, #16780, #16770, #16773, #16771, #16772, #16768, #16752, #16754, #16751, #16748, #16730, #16729, #16346, #16709, #16704, #16703, #16702, #16658, #16662, #16645, #16639, #16640, #16626, #16572, #16566, #16565, #16563, #16561, #16559, #16544, #16539, #16520, #16508, #16505, #16494, #16495, #16491, #16487, #16482, #16473, #16465, #16456, #16458, #16394, #16445, #16433, #16434, #16413, #16417, #16416, #16414, #16415, #16378, #16350, #16323, #15788, #16263, #16256, #16237, #16234, #16219, #16216, #16207, #16199, #16192, #16705, @harupy; #16900, #16755, #16762, #16757, #15860, #16661, #16630, #16657, #16605, #16602, #16568, #16569, #16553, #16345, #16454, #16489, #16486, #16438, #16266, #16382, #16381, #16303, @B-Step62; #16852, #16829, #16816, #16808, #16775, #16807, #16806, #16624, #16524, #16410, #16403, @TomeHirata; #16760, #16761, #16736, #16737, #16699, #16718, #16663, #16676, #16574, #16477, #16552, #16527, #16515, #16452, #16210, #16204, #16610, @frontsideair; #16723, #16124, @AveshCSingh; #16744, @BenWilson2; #16683, @dsuhinin; #16502, @bbqiu; #16619, @AchimGaedkeLynker; #16595, @Aiden-Jeon; #16480, #16479, @shushantrishav; #16398, #16331, #16328, #16329, #16293, @WeichenXu123

MLflow 3.1.4 includes several major features and improvements

Small bug fixes and documentation updates:

#16835, #16820, @daniellok-db

MLflow 3.1.3 includes several features and improvements

Features:

• [Artifacts / Tracking] Do not copy file permissions when logging artifacts to local artifact repo (#16642, @connortann)
• [Tracking] Add support for OpenAI ChatCompletions parse method (#16493, @harupy)

Bug fixes:

• [Deployments] Propagate MLFLOW_DEPLOYMENT_PREDICT_TIMEOUT to databricks-sdk (#16783, @bbqiu)
• [Model Registry] Fix issue with search_registered_models with Databricks UC backend not supporting filter_string (#16766, @BenWilson2)
• [Evaluation] Bug fix: Databricks GenAI evaluation dataset source returns string, instead of DatasetSource instance (#16712, @dbczumar)
• [Tracking] Fix the position of added tracking_uri param to artifact store implementations (#16653, @BenWilson2)

Small bug fixes and documentation updates:

#16786, #16692, @daniellok-db; #16594, @ngoduykhanh; #16475, @harupy

MLflow 3.1.2 is a patch release that includes several bug fixes.

Bug fixes:

• [Tracking] Fix download_artifacts ignoring tracking_uri parameter (#16461, @harupy)
• [Models] Fix event type for ResponsesAgent error (#16427, @bbqiu)
• [Models] Remove falsey chat conversion for LangGraph models (#16601, @B-Step62)
• [Tracing] Use empty Resource when instantiating OTel provider to fix LiteLLM tracing issue (#16590, @B-Step62)

Small fixes and documentation updates:

#16568, #16454, #16617, #16605, #16569, #16553, #16625, @B-Step62; #16571, #16552, #16452, #16395, #16446, #16420, #16447, #16554, #16515, @frontsideair; #16558, #16443, #16457, @16442, #16449, @harupy; #16509, #16512, #16524, #16514, #16607, @TomeHirata; #16541, @copilot-swe-agent; #16427, @bbqiu; #16573, @daniellok-db; #16470, #16281, @BenWilson2

MLflow 3.1.1 includes several major features and improvements

Features:

• [Model Registry / Sqlalchemy] Increase prompt text limit from 5K to 100K (#16377, @harupy)
• [Tracking] Support pagination in get-history of FileStore and SqlAlchemyStore (#16325, @TomeHirata)

Bug fixes:

• [Artifacts] Support downloading logged model artifacts (#16356, @TomeHirata)
• [Models] Fix bedrock provider, configured inference profile compatibility (#15604, @lloydhamilton)
• [Tracking] Specify attribute.run_id when search_traces filters by run_id (#16295, @artjen)
• [Tracking] Fix graphql batching attacks (#16227, @serena-ruan)
• [Model Registry] Make the chunk size configurable in DatabricksSDKModelsArtifactRepository (#16247, @TomeHirata)

Documentation updates:

• [Docs] Move the Databricks trial main signup page to GenAI (#16404, @BenWilson2)
• [Docs] [DOC-FIX] Dspy doc fix (#16397, @joelrobin18)
• [Docs] Fix(docs): Resolve self-referencing 'Next' link on GenAI Tracing overview page (#16334, @mohammadsubhani)
• [Docs] Update the docs selector dropdown (#16280, @BenWilson2)
• [Docs] Update utm_source for source tracking to signup URL (#16316, @BenWilson2)
• [Docs] Fix footer rendering in docs for light mode display (#16214, @BenWilson2)

Small bug fixes and documentation updates:

#16261, @rohitarun-db; #16411, #16352, #16327, #16324, #16279, #16193, #16197, @harupy; #16409, #16348, #16347, #16290, #16286, #16283, #16271, #16223, @TomeHirata; #16326, @mohammadsubhani; #16364, @BenWilson2; #16308, #16218, @serena-ruan; #16262, @raymondzhou-db; #16191, @copilot-swe-agent; #16212, @B-Step62; #16208, @frontsideair; #16205, #16200, #16198, @daniellok-db

MLflow 3.0.1 includes several major features and improvements

Features:

• [Model Registry / Sqlalchemy] Increase prompt text limit from 5K to 100K (#16377, @harupy)

Bug fixes:

• [Models] Fix bedrock provider, configured inference profile compatibility (#15604, @lloydhamilton)

Small bug fixes and documentation updates:

#16364, @BenWilson2; #16347, @TomeHirata; #16279, #15835, @harupy; #16182, @B-Step62

MLflow 3: Redefining MLOps for the GenAI Era

MLflow 3 is now available to everyone, marking the biggest evolution in the best open-source MLOps platform's history and transforming how millions of developers build, deploy, AI applications. While previous versions focused on traditional ML workflows, MLflow 3 fundamentally reimagines the platform for the GenAI era. This isn't just an update, but a complete paradigm shift that brings enterprise-grade GenAI capabilities to the open source community for the first time.

🎯 Improved Model Tracking for GenAI

MLflow 3 introduces a refined architecture with the new LoggedModel entity as a first-class citizen, moving beyond the traditional run-centric approach. This enables better organization and comparison of GenAI models. agents, deep learning checkpoints, and model variants across experiments.

🔗 Comprehensive Performance Tracking & Observability

Enhanced model tracking provides comprehensive lineage between models, runs, traces, prompts, and evaluation metrics. The new model-centric design allows you to group traces and metrics from different development environments and production, enabling rich comparisons across model versions.

📊 Production-Grade GenAI Evaluation

MLflow's evaluation and monitoring capabilities help you systematically measure, improve, and maintain the quality of your GenAI applications throughout their lifecycle. From development through production, use the same quality scorers to ensure your applications deliver accurate, reliable responses while managing cost and latency. Visit documentation for more details.

👥 Human-in-the-Loop Feedback

Real-world GenAI applications need human oversight. MLflow 3 now tracks human annotations and feedback for model predictions, enabling streamlined human-in-the-loop evaluation cycles. This creates a collaborative environment where data scientists, domain experts, and stakeholders can efficiently improve model quality together.
(Note: Currently available in Databricks Managed MLflow. Open source release coming in the next few months.)

⚡️ State-of-the-Art Prompt Optimization

Transform prompt engineering from art to science. The MLflow Prompt Registry now includes prompt optimization capabilities built on top of the state-of-the-art research, allowing you to automatically improve prompts using evaluation feedback and labeled datasets. This includes versioning, tracking, and systematic prompt engineering workflows.

📚 Revamped Website and Documentation

The MLflow documentation and website has been fully redesigned to support two main user journeys: GenAI development and classic machine learning workflows. The new structure offers dedicated sections for GenAI features (including LLMs, prompt engineering, and tracing), and traditional ML capabilities such as experiment tracking, model registry, deployment, and evaluation.

▶︎▶︎▶︎ Ready to Get Started?　▶︎▶︎▶︎

Get up and running with MLflow 3 in minutes:

pip install 'mlflow>=3.1'

Resources:

🌐 New Website | 📖 Documentation | 🎉:Release Notes

🏎️ The Road Ahead 🏎️

It is just the beginning. The open source community continues driving innovation toward the world's best open-source MLOps/LLMOps platform. Here's how you can be part of the journey:

How to Get Involved:

• 🔧 Contribute Code: From bug fixes to major features, all contributions welcome
• 🐝 Report Issues: Help us improve by reporting bugs and requesting features
• 💬 Join Discussions: Technical discussions, roadmap planning, and peer support
• 📝 Share Your Story: Write blogs, tutorials, and docs about your MLflow implementations to help others learn!

The future of AI development is unified, observable, and reliable. MLflow 3.0 brings that future to the open source community today.

Ready to transform your GenAI workflow? Get started now →

Changelog

• [Tracking] MLflow 3.0 (#13211, @harupy)
• [Prompts] Add Custom Prompt Judges to mlflow[databricks] (#16097, @dbrx-euirim)
• [Artifacts / Model Registry / Tracking] Package model environment when registering model (#15783, @qyc)
• [Tracking] Add MlflowSparkStudy (#15418, @lu-wang-dl)
• [Scoring] Make spark_udf support DBConnect + DBR 15.4 / DBR dedicated cluster (#15968, @WeichenXu123)
• [Tracking] Lock model dependencies when logging a model using uv (#15875, @harupy)
• [Model Registry] Introduce mlflow.genai.optimize_prompt to optimize prompts (#15861, @TomeHirata)
• [Tracing] Support custom request/response preview (#15919, @B-Step62)
• [Tracking] Add integration for AutoGen > 0.4 (#14729, @TomeHirata)
• [Tracking] Support token tracking for OpenAI (#15870, @B-Step62)
• [Tracking] Support tracing ResponsesAgent.predict_stream (#15762, @bbqiu)
• [Tracking] Introduce client and fluent APIs for LogLoggedModelParams (#15717, @artjen)
• [Models] Support predict_stream in DSPy flavor (#15678, @TomeHirata)
• [Tracking] Record notebook and git metadata in trace metadata (#15650, @B-Step62)
• [Model Registry] Added search_prompts function to list all the prompts registered (#15445, @joelrobin18)
• [Models] Support compression for pyfunc log model (#14700, @antbbn)
• [Gateway] Add support for Gemini in AI Gateway (#15069, @joelrobin18)
• [Tracing] PydanticAI Autologging (#15553, @joelrobin18)
• [Tracking] Support setting databricks auth profile by DATABRICKS_CONFIG_PROFILE environment variable. (#15587, @WeichenXu123)
• [Tracking] create mlflow tracing for smolagents (#15574, @y-okt)
• [Artifacts / UI] Support for video artifacts (#15518, @joelrobin18)
• [Model Registry] Add allow_missing parameter in load_prompt (#15371, @joelrobin18)
• [Tracking] Emit a warning for mlflow.get_artifact_uri() usage outside active run (#12902, @Shashank1202)

Bug fixes:

• [GenAI] Add Databricks App resource (#15867, @aravind-segu)
• [Tracking] Support json-string for inputs/expectations column in Spark Dataframe (#16011, @B-Step62)
• [Tracking] Avoid generating traces from scorers during evaluation (#16004, @B-Step62)
• [GenAI] Allow multi inputs module in DSPy (#15859, @TomeHirata)
• [Tracking] Improve error handling if tracking URI is not set when running mlflow gc (#11773, @oleg-z)
• [Tracking] Trace search: Avoid spawning threads for span fetching if include_spans=False (#15634, @dbczumar)
• [Tracking] Fix global_guideline_adherence (#15572, @artjen)
• [Model Registry] Log Resources from SystemAuthPolicy in CreateModelVersion (#15485, @aravind-segu)
• [Models] ResponsesAgent interface update (#15601, #15741, @bbqiu)

Breaking changes:

• [Tracking] Move prompt registry APIs under mlflow.genai.prompts namespace (#16174, @B-Step62)
• [Model Registry] Default URI to databricks-uc when tracking URI is databricks & registry URI is unspecified (#16135, @dbczumar)
• [Tracking] Do not log SHAP explainer in mlflow.evaluate (#15827, @harupy)
• [Tracking] Update DataFrame schema returned from mlflow.search_trace() to be V3 format (#15643, @B-Step62)

Documentation updates:

• [Docs] Documentation revamp for MLflow 3.0 (#15954, @harupy)
• [Docs] Add Prompt Optimization Document Page (#15958, @TomeHirata)
• [Docs] Redesign API reference page (#15811, @besirovic)
• [Docs] MLflow 3 breaking changes list (#15716, @WeichenXu123)
• [Docs] Update Lighthouse signup and signin links (#15740, @BenWilson2)
• [Docs] Document models:/ URIs explicitly in OSS MLflow docs (#15727, @WeichenXu123)
• [Docs] Spark UDF Doc update (#15586, @WeichenXu123)

Small bug fixes and documentation updates:

#16193, #16192, #16171, #16119, #16036, #16130, #16081, #16101, #16047, #16086, #16077, #16045, #16065, #16067, #16063, #16061, #16058, #16050, #16043, #16034, #16033, #15966, #16025, #16015, #16002, #15970, #16001, #15999, #15942, #15960, #15955, #15951, #15939, #15885, #15883, #15890, #15887, #15874, #15869, #15846, #15845, #15826, #15834, #15822, #15830, #15796, #15821, #15818, #15817, #15805, #15804, #15798, #15793, #15797, #15782, #15775, #15772, #15790, #15773, #15776, #15756, #15767, #15766, #15765, #15746, #15747, #15748, #15751, #15743, #15731, #15720, #15722, #15670, #15614, #15715, #15677, #15708, #15673, #15680, #15686, #15671, #15657, #15669, #15664, #15675, #15667, #15666, #15668, #15651, #15649, #15647, #15640, #15638, #15630, #15627, #15624, #15622, #15558, #15610, #15577, #15575, #15545, #15576, #15559, #15563, #15555, #15557, #15548, #15551, #15547, #15542, #15536, #15524, #15531, #15525, #15520, #15521, #15502, #15499, #15442, #15426, #15315, #15392, #15397, #15399, #15394, #15358, #15352, #15349, #15328, #15336, #15335, @harupy; #16196, #16191, #16093, #16114, #16080, #16088, #16053, #15856, #16039, #15987, #16009, #16014, #16007, #15996, #15993, #15991, #15989, #15978, #15839, #15953, #15934, #15929, #15926, #15909, #15900, #15893, #15889, #15881, #15879, #15877, #15865, #15863, #15854, #15852, #15848, @copilot-swe-agent; #16178, #16153, #16155, #15823, #15754, #15794, #15800, #15799, #15615, #15777, #15726, #15752, #15745, #15753, #15738, #15681, #15684, #15682, #15702,...

See https://github.com/mlflow/mlflow/releases/tag/v3.1.0.

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 (#, @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