Bump mlflow from 2.12.2 to 2.13.1 in /for_developers/regression_test

[dependabot]

Bumps mlflow from 2.12.2 to 2.13.1.

Release notes

Sourced from mlflow's releases.

v2.13.0

MLflow 2.13.0 includes several major features and improvements

With this release, we're happy to introduce several features that enhance the usability of MLflow broadly across a range of use cases.

Major Features and Improvements:

• Streamable Python Models: The newly introduced predict_stream API for Python Models allows for custom model implementations that support the return of a generator object, permitting full customization for GenAI applications.

• Enhanced Code Dependency Inference: A new feature for automatically inferrring code dependencies based on detected dependencies within a model's implementation. As a supplement to the code_paths parameter, the introduced infer_model_code_paths option when logging a model will determine which additional code modules are needed in order to ensure that your models can be loaded in isolation, deployed, and reliably stored.

• Standardization of MLflow Deployment Server: Outputs from the Deployment Server's endpoints now conform to OpenAI's interfaces to provide a simpler integration with commonly used services.

Features:

• [Deployments] Update the MLflow Deployment Server interfaces to be OpenAI compatible (#12003, @​harupy)
• [Deployments] Add Togetherai as a supported provider for the MLflow Deployments Server (#11557, @​FotiosBistas)
• [Models] Add predict_stream API support for Python Models (#11791, @​WeichenXu123)
• [Models] Enhance the capabilities of logging code dependencies for MLflow models (#11806, @​WeichenXu123)
• [Models] Add support for RunnableBinding models in LangChain (#11980, @​serena-ruan)
• [Model Registry / Databricks] Add support for renaming models registered to Unity Catalog (#11988, @​artjen)
• [Model Registry / Databricks] Improve the handling of searching for invalid components from Unity Catalog registered models (#11961, @​artjen)
• [Model Registry] Enhance retry logic and credential refresh to mitigate cloud provider token expiration failures when uploading or downloading artifacts (#11614, @​artjen)
• [Artifacts / Databricks] Add enhanced lineage tracking for models loaded from Unity Catalog (#11305, @​shichengzhou-db)
• [Tracking] Add resourcing metadata to Pyfunc models to aid in model serving environment configuration (#11832, @​sunishsheth2009)
• [Tracking] Enhance LangChain signature inference for models as code (#11855, @​sunishsheth2009)

Bug fixes:

• [Artifacts] Prohibit invalid configuration options for multi-part upload on AWS (#11975, @​ian-ack-db)
• [Model Registry] Enforce registered model metadata equality (#12013, @​artjen)
• [Models] Correct an issue with hasattr references in AttrDict usages (#11999, @​BenWilson2)

Documentation updates:

• [Docs] Simplify the main documentation landing page (#12017, @​BenWilson2)
• [Docs] Add documentation for the expanded code path inference feature (#11997, @​BenWilson2)
• [Docs] Add documentation guidelines for the predict_stream API (#11976, @​BenWilson2)
• [Docs] Add support for enhanced Documentation with the JFrog MLflow Plugin (#11426, @​yonarbel)

Small bug fixes and documentation updates:

#12052, #12053, #12022, #12029, #12024, #11992, #12004, #11958, #11957, #11850, #11938, #11924, #11922, #11920, #11820, #11822, #11798, @​serena-ruan; #12054, #12051, #12045, #12043, #11987, #11888, #11876, #11913, #11868, @​sunishsheth2009; #12049, #12046, #12037, #11831, @​dbczumar; #12047, #12038, #12020, #12021, #11970, #11968, #11967, #11965, #11963, #11941, #11956, #11953, #11934, #11921, #11454, #11836, #11826, #11793, #11790, #11776, #11765, #11763, #11746, #11748, #11740, #11735, @​harupy; #12025, #12034, #12027, #11914, #11899, #11866, @​BenWilson2; #12026, #11991, #11979, #11964, #11939, #11894, @​daniellok-db; #11951, #11974, #11916, @​annzhang-db; #12015, #11931, #11627, @​jessechancy; #12014, #11917, @​prithvikannan; #12012, @​AveshCSingh; #12001, @​yunpark93; #11984, #11983, #11977, #11977, #11949, @​edwardfeng-db; #11973, @​bbqiu; #11902, #11835, #11775, @​B-Step62; #11845, @​lababidi

Changelog

Sourced from mlflow's changelog.

2.13.1 (2024-05-30)

MLflow 2.13.1 is a patch release that includes several bug fixes and integration improvements to existing features. New features that are introduced in this patch release are intended to provide a foundation to further major features that will be released in the next release.

Features:

• [MLflow] Add mlflow[langchain] extra that installs recommended versions of langchain with MLflow (#12182, @​sunishsheth2009)
• [Tracking] Adding the ability to override the model_config in langchain flavor if loaded as pyfunc (#12085, @​sunishsheth2009)
• [Model Registry] Automatically detect if Presigned URLs are required for Unity Catalog (#12177, @​artjen)

Bug fixes:

• [Tracking] Use getUserLocalTempDir and getUserNFSTempDir to replace getReplLocalTempDir and getReplNFSTempDir in databricks runtime (#12105, @​WeichenXu123)
• [Model] Updating chat model to take default input_example and predict to accept json during inference (#12115, @​sunishsheth2009)
• [Tracking] Automatically call load_context when inferring signature in pyfunc (#12099, @​sunishsheth2009)

Small bug fixes and documentation updates:

#12180, #12152, #12128, #12126, #12100, #12086, #12084, #12079, #12071, #12067, #12062, @​serena-ruan; #12175, #12167, #12137, #12134, #12127, #12123, #12111, #12109, #12078, #12080, #12064, @​B-Step62; #12142, @​2maz; #12171, #12168, #12159, #12153, #12144, #12104, #12095, #12083, @​harupy; #12160, @​aravind-segu; #11990, @​kriscon-db; #12178, #12176, #12090, #12036, @​sunishsheth2009; #12162, #12110, #12088, #11937, #12075, @​daniellok-db; #12133, #12131, @​prithvikannan; #12132, #12035, @​annzhang-db; #12121, #12120, @​liangz1; #12122, #12094, @​dbczumar; #12098, #12055, @​mparkhe

2.13.0 (2024-05-20)

MLflow 2.13.0 includes several major features and improvements

With this release, we're happy to introduce several features that enhance the usability of MLflow broadly across a range of use cases.

Major Features and Improvements:

• Streamable Python Models: The newly introduced predict_stream API for Python Models allows for custom model implementations that support the return of a generator object, permitting full customization for GenAI applications.

• Enhanced Code Dependency Inference: A new feature for automatically inferrring code dependencies based on detected dependencies within a model's implementation. As a supplement to the code_paths parameter, the introduced infer_model_code_paths option when logging a model will determine which additional code modules are needed in order to ensure that your models can be loaded in isolation, deployed, and reliably stored.

• Standardization of MLflow Deployment Server: Outputs from the Deployment Server's endpoints now conform to OpenAI's interfaces to provide a simpler integration with commonly used services.

Features:

• [Deployments] Update the MLflow Deployment Server interfaces to be OpenAI compatible (#12003, @​harupy)
• [Deployments] Add Togetherai as a supported provider for the MLflow Deployments Server (#11557, @​FotiosBistas)
• [Models] Add predict_stream API support for Python Models (#11791, @​WeichenXu123)
• [Models] Enhance the capabilities of logging code dependencies for MLflow models (#11806, @​WeichenXu123)
• [Models] Add support for RunnableBinding models in LangChain (#11980, @​serena-ruan)
• [Model Registry / Databricks] Add support for renaming models registered to Unity Catalog (#11988, @​artjen)
• [Model Registry / Databricks] Improve the handling of searching for invalid components from Unity Catalog registered models (#11961, @​artjen)
• [Model Registry] Enhance retry logic and credential refresh to mitigate cloud provider token expiration failures when uploading or downloading artifacts (#11614, @​artjen)
• [Artifacts / Databricks] Add enhanced lineage tracking for models loaded from Unity Catalog (#11305, @​shichengzhou-db)
• [Tracking] Add resourcing metadata to Pyfunc models to aid in model serving environment configuration (#11832, @​sunishsheth2009)
• [Tracking] Enhance LangChain signature inference for models as code (#11855, @​sunishsheth2009)

Bug fixes:

• [Artifacts] Prohibit invalid configuration options for multi-part upload on AWS (#11975, @​ian-ack-db)

... (truncated)

Commits

• 0c2975c Run python3 dev/update_mlflow_versions.py pre-release ... (#12184)
• c710be3 fix lint
• 1f52d7b [MLflow] Adding recommended versions of langchain in langchain extra for MLfl...
• c5e3b03 Add ENABLE_MLFLOW_TRACING to control tracing in serving (#12180)
• debd95e Avoid showing repeated warnings for tracing default experiment usage (#12175)
• bc819e6 doc: Fix "Unrecognized content type parameters: ." (#12142)
• 6bdf3e7 Add more examples for fluent tracing APIs (#12171)
• 18ff44a Allow Relative Paths in Mlflow Log Model (#12160)
• fe1e47d Automatically detect if Presigned URLs are required for Unity Catalog (#12177)
• cacaefe Added a UC uri check to flavor_backend_registry (#11990)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #3595.