MLflow 2.21 Release

[Tomu Hirata]

Hi all, we just released MLflow 2.21.0 on PyPI.
This release includes the following major features, enhancements, and bug fixes:

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!
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.
OpenAI Agent SDK: MLflow Tracing now supports OpenAI Agent SDK, a multi-agent framework developed by OpenAI.
FastAPI Scoring Server: The MLflow inference server has been migrated from Flask to FastAPI, enabling ASGI-based scalable inference for improved performance and throughput.
Enhanced Tracing Capabilities: MLflow Tracing now supports synchronous/asynchronous generators and auto-tracing for Async OpenAI, providing more flexible and comprehensive tracing options.

Please visit the release note for more details.

Best regards,

MLflow Maintainers