MLflow 3.1.3 Release

[Tomu Hirata]

Hi, everyone.

We just released MLflow 3.1.3. MLflow 3.1.3 includes several features and improvements:

Features:
[Artifacts / Tracking] Do not copy file permissions when logging artifacts to local artifact repo 
[Tracking] Add support for OpenAI ChatCompletions parse method

Bug fixes:
[Deployments] Propagate MLFLOW_DEPLOYMENT_PREDICT_TIMEOUT to databricks-sdk 
[Model Registry] Fix issue with search_registered_models with Databricks UC backend not supporting filter_string
[Evaluation] Bug fix: Databricks GenAI evaluation dataset source returns string, instead of DatasetSource instance
[Tracking] Fix the position of added tracking_uri param to artifact store implementations

Please take a look at our release tag for details.

Best regards,

MLflow Maintainers