MLflow 2.11.3 is a patch release that addresses a security exploit with the Open Source MLflow tracking server and miscellaneous Databricks integration fixes
Bug fixes:
- [Security] Address an LFI exploit related to misuse of url parameters (#11473, @daniellok-db)
- [Databricks] Fix an issue with Databricks Runtime version acquisition when deploying a model using Databricks Docker Container Services (#11483, @WeichenXu123)
- [Databricks] Correct an issue with credential management within Databricks Model Serving (#11468, @victorsun123)
- [Models] Fix an issue with chat request validation for LangChain flavor (#11478, @BenWilson2)
- [Models] Fixes for LangChain models that are logged as code (#11494, #11436 @sunishsheth2009)