Chore(deps): Bump mlflow from 2.14.1 to 2.16.2

[dependabot]

Bumps mlflow from 2.14.1 to 2.16.2.

Release notes

Sourced from mlflow's releases.

MLflow 2.16.2 includes several major features and improvements

Bug fixes:

• [Models] Revert "Update Dependency Extraction for Agents (#13105)" (#13155, @​aravind-segu)

MLflow 2.16.1 is a patch release that includes some minor feature improvements and addresses several bug fixes.

Features:

• [Tracing] Add Support for an Open Telemetry compatible exporter to configure external sinks for MLflow traces (#13118, @​B-Step62)
• [Model Registry, AWS] Add support for utilizing AWS KMS-based encryption for the MLflow Model Registry (#12495, @​artjen)
• [Model Registry] Add support for using the OSS Unity Catalog server as a Model Registry (#13034, #13065, #13066, @​rohitarun-db)
• [Models] Introduce path-based transformers logging to reduce memory requirements for saving large transformers models (#13070, @​B-Step62)

Bug fixes:

• [Tracking] Fix a data payload size issue with Model.get_tags_dict by eliminating the return of the internally-used config field (#13086, @​harshilprajapati96)
• [Models] Fix an issue with LangChain Agents where sub-dependencies were not being properly extracted (#13105, @​aravind-segu)
• [Tracking] Fix an issue where the wrong checkpoint for the current best model in auto checkpointing was being selected (#12981, @​hareeen)
• [Tracking] Fix an issue where local timezones for trace initialization were not being taken into account in AutoGen tracing (#13047, @​B-Step62)

Documentation updates:

• [Docs] Added RunLLM chat widget to MLflow's documentation site (#13123, @​likawind)

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

MLflow 2.16.0

We are excited to announce the release of MLflow 2.16.0. This release includes many major features and improvements!

Major features:

• LlamaIndex Enhancements🦙 - to provide additional flexibility to the LlamaIndex integration, we now have support for the models-from-code functionality for logging, extended engine-based logging, and broadened support for external vector stores.

• LangGraph Support - We've expanded the LangChain integration to support the agent framework LangGraph. With tracing and support for logging using the models-from-code feature, creating and storing agent applications has never been easier!

• AutoGen Tracing - Full automatic support for tracing multi-turn agent applications built with Microsoft's AutoGen framework is now available in MLflow. Enabling autologging via mlflow.autogen.autolog() will instrument your agents built with AutoGen.

• Plugin support for AI Gateway - You can now define your own provider interfaces that will work with MLflow's AI Gateway (also known as the MLflow Deployments Server). Creating an installable provider definition will allow you to connect the Gateway server to any GenAI service of your choosing.

Features:

• [UI] Add updated deployment usage examples to the MLflow artifact viewer (#13024, @​serena-ruan, @​daniellok-db)
• [Models] Support logging LangGraph applications via the models-from-code feature (#12996, @​B-Step62)
• [Models] Extend automatic authorization pass-through support for Langgraph agents (#13001, @​aravind-segu)
• [Models] Expand the support for LangChain application logging to include UCFunctionToolkit dependencies (#12966, @​aravind-segu)
• [Models] Support saving LlamaIndex engine directly via the models-from-code feature (#12978, @​B-Step62)
• [Models] Support models-from-code within the LlamaIndex flavor (#12944, @​B-Step62)
• [Models] Remove the data structure conversion of input examples to ensure enhanced compatibility with inference signatures (#12782, @​serena-ruan)

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.16.2 (2024-09-17)

MLflow 2.16.2 includes several major features and improvements

Bug fixes:

• [Models] Revert "Update Dependency Extraction for Agents (#13105)" (#13155, @​aravind-segu)

2.16.1 (2024-09-13)

MLflow 2.16.1 is a patch release that includes some minor feature improvements and addresses several bug fixes.

Features:

• [Tracing] Add Support for an Open Telemetry compatible exporter to configure external sinks for MLflow traces (#13118, @​B-Step62)
• [Model Registry, AWS] Add support for utilizing AWS KMS-based encryption for the MLflow Model Registry (#12495, @​artjen)
• [Model Registry] Add support for using the OSS Unity Catalog server as a Model Registry (#13034, #13065, #13066, @​rohitarun-db)
• [Models] Introduce path-based transformers logging to reduce memory requirements for saving large transformers models (#13070, @​B-Step62)

Bug fixes:

• [Tracking] Fix a data payload size issue with Model.get_tags_dict by eliminating the return of the internally-used config field (#13086, @​harshilprajapati96)
• [Models] Fix an issue with LangChain Agents where sub-dependencies were not being properly extracted (#13105, @​aravind-segu)
• [Tracking] Fix an issue where the wrong checkpoint for the current best model in auto checkpointing was being selected (#12981, @​hareeen)
• [Tracking] Fix an issue where local timezones for trace initialization were not being taken into account in AutoGen tracing (#13047, @​B-Step62)

Documentation updates:

• [Docs] Added RunLLM chat widget to MLflow's documentation site (#13123, @​likawind)

Small bug fixes and documentation updates:

#13140, #13141, #13098, #13091, #13101, #13100, #13095, #13044, #13048, @​B-Step62; #13142, #13092, #13132, #13055, #13049, @​harupy; #13135, #13036, #13029, @​serena-ruan; #13134, #13081, #13078, @​daniellok-db; #13107, #13103, @​kriscon-db; #13104, @​arpitjasa-db; #13022, @​nojaf; #13069, @​minihat; #12879, @​faizankshaikh

2.16.0 (2024-08-30)

We are excited to announce the release of MLflow 2.16.0. This release includes many major features and improvements!

Major features:

• LlamaIndex Enhancements🦙 - to provide additional flexibility to the LlamaIndex integration, we now have support for the models-from-code functionality for logging, extended engine-based logging, and broadened support for external vector stores.

• LangGraph Support - We've expanded the LangChain integration to support the agent framework LangGraph. With tracing and support for logging using the models-from-code feature, creating and storing agent applications has never been easier!

• AutoGen Tracing - Full automatic support for tracing multi-turn agent applications built with Microsoft's AutoGen framework is now available in MLflow. Enabling autologging via mlflow.autogen.autolog() will instrument your agents built with AutoGen.

• Plugin support for AI Gateway - You can now define your own provider interfaces that will work with MLflow's AI Gateway (also known as the MLflow Deployments Server). Creating an installable provider definition will allow you to connect the Gateway server to any GenAI service of your choosing.

Features:

... (truncated)

Commits

• d2ebcbd Run python3 dev/update_mlflow_versions.py pre-release ... (#13158)
• 2193b6e Revert "Update Dependency Extraction for Agents (#13105)" (#13155)
• 13c35ce fix-pyproject
• 58063c5 Run python3 dev/update_mlflow_versions.py pre-release ... (#13148)
• 01eb50e update
• a90eddf Add a warning about langchain partner pacakge and promote model-from-code (#1...
• 4ea493c Support merging a remote trace to the current local trace (#13141)
• fb9d88f Replace more mlflow deployments start-server (#13142)
• 62064e8 🚀 Rename MLflow deployments server to MLflow AI gateway (#13092)
• e105e36 Fix param pass for langchain (#13135)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #174.