MLflow 2.11.2 is a patch release that introduces corrections for the support of custom transformer models, resolves LangChain integration problems, and includes several fixes to enhance stability.

Bug fixes:

• [Security] Address LFI exploit (#11376, @WeichenXu123)
• [Models] Fix transformers models implementation to allow for custom model and component definitions to be loaded properly (#11412, #11428 @daniellok-db)
• [Models] Fix the LangChain flavor implementation to support defining an MLflow model as code (#11370, @sunishsheth2009)
• [Models] Fix LangChain VectorSearch parsing errors (#11438, @victorsun123)
• [Models] Fix LangChain import issue with the community package (#11450, @sunishsheth2009)
• [Models] Fix serialization errors with RunnableAssign in the LangChain flavor (#11358, @serena-ruan)
• [Models] Address import issues with LangChain community for Databricks models (#11350, @liangz1)
• [Registry] Fix model metadata sharing within Databricks Unity Catalog (#11357, #11392 @WeichenXu123)

For a comprehensive list of changes, see the release change log, and check out the latest documentation on mlflow.org.