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)
Small bug fixes and documentation updates:
#11321, #11323, @michael-berk; #11326, #11455, @B-Step62; #11333, @cdancette; #11373, @es94129; #11429, @BenWilson2; #11413, @GuyAglionby; #11338, #11339, #11355, #11432, #11441, @daniellok-db; #11380, #11381, #11383, #11394, @WeichenXu123; #11446, @harupy;