v3.1.3
📦 mlflowView on GitHub →
✨ 2 features🐛 5 fixes🔧 4 symbols
Summary
MLflow 3.1.3 introduces artifact permission handling and OpenAI ChatCompletions parsing support while fixing bugs in deployments, model registry, evaluation, and tracking.
✨ New Features
- Do not copy file permissions when logging artifacts to local artifact repo (Artifacts / Tracking) (#16642).
- Add support for OpenAI ChatCompletions parse method (Tracking) (#16493).
🐛 Bug Fixes
- Propagate MLFLOW_DEPLOYMENT_PREDICT_TIMEOUT to databricks-sdk (Deployments) (#16783).
- Fix issue with search_registered_models when Databricks UC backend does not support filter_string (Model Registry) (#16766).
- Databricks GenAI evaluation dataset source now returns a DatasetSource instance instead of a string (Evaluation) (#16712).
- Correct the position of the added tracking_uri parameter in artifact store implementations (Tracking) (#16653).
- Various small bug fixes and documentation updates (issues #16786, #16692, #16594, #16475).