MLflow 3.5.0rc0 includes several major features and improvements
Major new features:
- 🤖 Tracing support for Claude Code SDK: MLflow now provides a tracing integration for both the Claude Code CLI and SDK! Configure the autologging integration to track your prompts, Claude's responses, tool calls, and more. Check out this doc page to get started. (#18022, @smoorjani)
- ✨ Improved UI homepage: The MLflow UI's homepage has been updated to help you get started with more of our latest features. This page will be updated regularly moving forward, allowing you to get more in-product guidance. (#18098, @B-Step62)
- 🗂️ Evaluation datasets UI integration: In MLflow 3.4.0, we released backend support for creating evaluation datasets for GenAI applications. In this release, we've added a new tab to the MLflow Experiment UI, allowing you to create, manage, and export traces to your datasets without having to write a line of code. (#18110, @daniellok-db)
- 🧮 GEPA support for prompt optimization: MLflow's prompt optimization feature now supports the GEPA algorithm, allowing you to achieve higher performing prompts with less rollouts. For instructions on how to get started with prompt optimization, visit this doc page! (#18031, @TomeHirata)
- 🔐 Security middleware layer for tracking server: MLflow now ships with a security middleware layer by default, allowing you to protect against DNS rebinding, CORS attacks, and more. Read the documentation here to learn how to configure these options. (#17910, @BenWilson2)
Stay tuned for the full release, which will be packed with more features and bugfixes.
To try out this release candidate, please run:
pip install mlflow==3.5.0rc0