Bump mlflow from 2.13.2 to 2.14.1

Bumps mlflow from 2.13.2 to 2.14.1.

Release notes

MLflow 2.14.1 is a patch release that contains several bug fixes and documentation improvements

Bug fixes:

[Models] Fix params and model_config handling for llm/v1/xxx Transformers model (#12401, @B-Step62)

[UI] Fix dark mode user preference (#12386, @daniellok-db)

[Docker] Fix docker image failing to build with install_mlflow=False (#12388, @daniellok-db)

Documentation updates:

[Docs] Add link to langchain autologging page in doc (#12398, @xq-yin)

[Docs] Add documentation for Models from Code (#12381, @BenWilson2)

Small bug fixes and documentation updates:

#12415, #12396, #12394, @harupy; #12403, #12382, @BenWilson2; #12397, @B-Step62

v2.14.0

2.14.0 (2024-06-17)

MLflow 2.14.0 includes several major features and improvements that we're very excited to announce!

Major features:

MLflow Tracing: Tracing is powerful tool designed to enhance your ability to monitor, analyze, and debug GenAI applications by allowing you to inspect the intermediate outputs generated as your application handles a request. This update comes with an automatic LangChain integration to make it as easy as possible to get started, but we've also implemented high-level fluent APIs, and low-level client APIs for users who want more control over their trace instrumentation. For more information, check out the guide in our docs!

Unity Catalog Integration: The MLflow Deployments server now has an integration with Unity Catalog, allowing you to leverage registered functions as tools for enhancing your chat application. For more information, check out this guide!

OpenAI Autologging: Autologging support has now been added for the OpenAI model flavor. With this feature, MLflow will automatically log a model upon calling the OpenAI API. Each time a request is made, the inputs and outputs will be logged as artifacts. Check out the guide for more information!

Other Notable Features:

[Models] Support input images encoded with b64.encodebytes (#12087, @MadhuM02)

[Tracking] Support async logging per X seconds (#12324, @chenmoneygithub)

[Tracking] Provide a way to set urllib's connection number and max size (#12227, @chenmoneygithub)

[Projects] Make MLflow project runner supporting submit spark job to databricks runtime >= 13 (#12139, @WeichenXu123)

[UI] Add the "description" column to the runs table (#11996, @zhouyou9505)

Bug fixes:

[Model Registry] Handle no headers presigned url (#12349, @artjen)

[Models] Fix docstring order for ChatResponse class and make object field immutable (#12305, @xq-yin)

[Databricks] Fix root user checking in get_databricks_nfs_temp_dir and get_databricks_local_temp_dir (#12186, @WeichenXu123)

[Tracking] fix _init_server process terminate hang (#12076, @zhouyou9505)

[Scoring] Fix MLflow model container and slow test CI failure (#12042, @WeichenXu123)

Documentation updates:

[Docs] Enhance documentation for autologging supported libraries (#12356, @xq-yin)

[Tracking, Docs] Adding Langchain as a code example and doc string (#12325, @sunishsheth2009)

[Tracking, Docs] Adding Pyfunc as a code example and doc string (#12336, @sunishsheth2009)

[Docs] Add FAQ entry for viewing trace exceptions in Docs (#12309, @BenWilson2)

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.14.1 (2024-06-20)

MLflow 2.14.1 is a patch release that contains several bug fixes and documentation improvements

Bug fixes:

[Models] Fix params and model_config handling for llm/v1/xxx Transformers model (#12401, @B-Step62)

[UI] Fix dark mode user preference (#12386, @daniellok-db)

[Docker] Fix docker image failing to build with install_mlflow=False (#12388, @daniellok-db)

Documentation updates:

[Docs] Add link to langchain autologging page in doc (#12398, @xq-yin)

[Docs] Add documentation for Models from Code (#12381, @BenWilson2)

Small bug fixes and documentation updates:

#12415, #12396, #12394, @harupy; #12403, #12382, @BenWilson2; #12397, @B-Step62

2.14.0 (2024-06-17)

MLflow 2.14.0 includes several major features and improvements that we're very excited to announce!

Major features:

MLflow Tracing: Tracing is powerful tool designed to enhance your ability to monitor, analyze, and debug GenAI applications by allowing you to inspect the intermediate outputs generated as your application handles a request. This update comes with an automatic LangChain integration to make it as easy as possible to get started, but we've also implemented high-level fluent APIs, and low-level client APIs for users who want more control over their trace instrumentation. For more information, check out the guide in our docs!

Unity Catalog Integration: The MLflow Deployments server now has an integration with Unity Catalog, allowing you to leverage registered functions as tools for enhancing your chat application. For more information, check out this guide!

OpenAI Autologging: Autologging support has now been added for the OpenAI model flavor. With this feature, MLflow will automatically log a model upon calling the OpenAI API. Each time a request is made, the inputs and outputs will be logged as artifacts. Check out the guide for more information!

Other Notable Features:

[Models] Support input images encoded with b64.encodebytes (#12087, @MadhuM02)

[Tracking] Support async logging per X seconds (#12324, @chenmoneygithub)

[Tracking] Provide a way to set urllib's connection number and max size (#12227, @chenmoneygithub)

[Projects] Make MLflow project runner supporting submit spark job to databricks runtime >= 13 (#12139, @WeichenXu123)

[UI] Add the "description" column to the runs table (#11996, @zhouyou9505)

Bug fixes:

[Model Registry] Handle no headers presigned url (#12349, @artjen)

[Models] Fix docstring order for ChatResponse class and make object field immutable (#12305, @xq-yin)

[Databricks] Fix root user checking in get_databricks_nfs_temp_dir and get_databricks_local_temp_dir (#12186, @WeichenXu123)

[Tracking] fix _init_server process terminate hang (#12076, @zhouyou9505)

[Scoring] Fix MLflow model container and slow test CI failure (#12042, @WeichenXu123)

Documentation updates:

[Docs] Enhance documentation for autologging supported libraries (#12356, @xq-yin)

[Tracking, Docs] Adding Langchain as a code example and doc string (#12325, @sunishsheth2009)

[Tracking, Docs] Adding Pyfunc as a code example and doc string (#12336, @sunishsheth2009)

... (truncated)

Commits

02ee083 Run python3 dev/update_mlflow_versions.py pre-release ... (#12421)
035822e Do not create empty object for empty directory in S3 artifact repository (#12...
d491995 Fix params and model_config handling for llm/v1/xxx Transformers model (#12401)
67eca6b Simplify deprecation message for registry stage transition (#12403)
ed02f2d Add link to langchain autologging page in doc (#12398)
5fbedc9 Update New Features page (#12397)
5329f72 Fix duplicate UC integration links (#12396)
7fc22c4 Add link to Unity Catalog documentation in UC integration page (#12394)
a9b9bfb Fix dark mode user preference (#12386)
e09f559 Add documentation for Models from Code (#12381)
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microsoft / rag-experiment-accelerator

Bump mlflow from 2.13.2 to 2.14.1 #613

v2.14.0

2.14.0 (2024-06-17)

Major features:

2.14.1 (2024-06-20)

2.14.0 (2024-06-17)

Major features: