MLflow 2.6.0 includes several major features and improvements


  • [Models / Scoring] Add support for passing extra params during inference for PyFunc models (#9068, @serena-ruan)
  • [Gateway] Add support for MLflow serving to MLflow AI Gateway (#9199, @BenWilson2)
  • [Tracking] Support save_kwargs for mlflow.log_figure to specify extra options when saving a figure (#9179, @stroblme)
  • [Artifacts] Display progress bars when uploading/download artifacts (#9195, @serena-ruan)
  • [Models] Add support for logging LangChain’s retriever models (#8808, @liangz1)
  • [Tracking] Add support to log customized tags to runs created by autologging (#9114, @thinkall)

Bug fixes:

  • [Models] Fix text_pair functionality for transformers TextClassification pipelines (#9215, @BenWilson2)
  • [Models] Fix LangChain compatibility with SQLDatabase (#9192, @dbczumar)
  • [Tracking] Remove patching sklearn.metrics.get_scorer_names in mlflow.sklearn.autolog to avoid duplicate logging (#9095, @WeichenXu123)

Documentation updates:

  • [Docs / Examples] Add examples and documentation for MLflow AI Gateway support for MLflow model serving (#9281, @BenWilson2)
  • [Docs / Examples] Add sentence-transformers doc & example (#9047, @es94129)


  • [Models] The mlflow.mleap module has been marked as deprecated and will be removed in a future release (#9311, @BenWilson2)

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