Bump mlflow from 2.16.1 to 2.17.1

[dependabot]

Bumps mlflow from 2.16.1 to 2.17.1.

Release notes

Sourced from mlflow's releases.

MLflow 2.17.1 is a patch release that includes several major features and improvements

Features:

• [Tracking] Support custom chat endpoint without endpoint type set as llm judge (#13538, @​B-Step62)
• [Tracking] Support tracing for OpenAI Swarm (#13497, @​B-Step62)
• [Tracking] Support UC Connections as model dependency and resources (#13481, #13491 @​sunishsheth2009)
• [Tracking] Support Genie Spaces as model resources (#13441, @​aravind-segu)
• [Models] Support new Transformers task for llm/v1/embedding (#13468, @​B-Step62)

Bug fixes:

• [Tracking] Fix tool span inputs/outputs format in LangChain autolog (#13527, @​B-Step62)
• [Models] Fix code_path handling for LlamaIndex flavor (#13486, @​B-Step62)
• [Models] Fix signature inference for subclass and optional dataclasses (#13440, @​bbqiu)
• [Tracking] Fix error thrown in set_retriever_schema's behavior when it's called twice (#13422, @​sunishsheth2009)
• [Tracking] Fix dependency extraction from RunnableCallables (#13423, @​aravind-segu)

Documentation updates:

• [Docs] Fixed typo in docs: endpoing -> endpoint (#13478, @​JAMNESIA)
• [Docs] Improve CLI docs - attention about setting MLFLOW_TRACKING_URI (#13465, @​BartoszLitwiniuk)
• [Docs] Add documentation for infer_signature usage with GenAI flavors (#13407, @​serena-ruan)

Small bug fixes and documentation updates:

#13293, #13510, #13501, #13506, #13446, @​harupy; #13341, #13342, @​WeichenXu123; #13396, @​dvorst; #13535, @​chenmoneygithub; #13503, #13469, #13416, @​B-Step62; #13519, #13516, @​serena-ruan; #13504, @​sunishsheth2009; #13508, @​KamilStachera; #13397, @​kriscon-db

MLflow 2.17.0

We are excited to announce the release of MLflow 2.17.0! This release includes several enhancements to extend the functionality of MLflow's ChatModel interface to further extend its versatility for handling custom GenAI application use cases. Additionally, we've improved the interface within the tracing UI to provide a structured output for retrieved documents, enhancing the ability to read the contents of those documents within the UI. We're also starting the work on improving both the utility and the versatility of MLflow's evaluate functionality for GenAI, initially with support for callable GenAI evaluation metrics.

Major Features and notifications:

• ChatModel enhancements - As the GenAI-focused 'cousin' of PythonModel, ChatModel is getting some sizable functionality extensions. From native support for tool calling (a requirement for creating a custom agent), simpler conversions to the internal dataclass constructs needed to interface with ChatModel via the introduction of from_dict methods to all data structures, the addition of a metadata field to allow for full input payload customization, handling of the new refusal response type, to the inclusion of the interface type to the response structure to allow for greater integration compatibility. (#13191, #13180, #13143, @​daniellok-db, #13102, #13071, @​BenWilson2)

• Callable GenAI Evaluation Metrics - As the intial step in a much broader expansion of the functionalities of mlflow.evaluate for GenAI use cases, we've converted the GenAI evaluation metrics to be callable. This allows you to use them directly in packages that support callable GenAI evaluation metrics, as well as making it simpler to debug individual responses when prototyping solutions. #13144, @​serena-ruan)

• Audio file support in the MLflow UI - You can now directly 'view' audio files that have been logged and listen to them from within the MLflow UI's artifact viewer pane.

• MLflow AI Gateway is no longer deprecated - We've decided to revert our deprecation for the AI Gateway feature. We had renamed it to the MLflow Deployments Server, but have reconsidered and reverted the naming and namespace back to the original configuration.

Features:

• [Tracing] Add Standardization to retriever span outputs within MLflow tracing (#13242, @​daniellok-db)
• [Models] Add support for LlamaIndex Workflows objects to be serialized when calling log_model() (#13277, #13305, #13336, @​B-Step62)

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.17.1 (2024-10-25)

MLflow 2.17.1 includes several major features and improvements

Features:

• [Tracking] Support custom chat endpoint without endpoint type set as llm judge (#13538, @​B-Step62)
• [Tracking] Support tracing for OpenAI Swarm (#13497, @​B-Step62)
• [Tracking] Support UC Connections as model dependency and resources (#13481, #13491 @​sunishsheth2009)
• [Tracking] Support Genie Spaces as model resources (#13441, @​aravind-segu)
• [Models] Support new Transformers task for llm/v1/embedding (#13468, @​B-Step62)

Bug fixes:

• [Tracking] Fix tool span inputs/outputs format in LangChain autolog (#13527, @​B-Step62)
• [Models] Fix code_path handling for LlamaIndex flavor (#13486, @​B-Step62)
• [Models] Fix signature inference for subclass and optional dataclasses (#13440, @​bbqiu)
• [Tracking] Fix error thrown in set_retriever_schema's behavior when it's called twice (#13422, @​sunishsheth2009)
• [Tracking] Fix dependency extraction from RunnableCallables (#13423, @​aravind-segu)

Documentation updates:

• [Docs] Fixed typo in docs: endpoing -> endpoint (#13478, @​JAMNESIA)
• [Docs] Improve CLI docs - attention about setting MLFLOW_TRACKING_URI (#13465, @​BartoszLitwiniuk)
• [Docs] Add documentation for infer_signature usage with GenAI flavors (#13407, @​serena-ruan)

Small bug fixes and documentation updates:

#13293, #13510, #13501, #13506, #13446, @​harupy; #13341, #13342, @​WeichenXu123; #13396, @​dvorst; #13535, @​chenmoneygithub; #13503, #13469, #13416, @​B-Step62; #13519, #13516, @​serena-ruan; #13504, @​sunishsheth2009; #13508, @​KamilStachera; #13397, @​kriscon-db

2.17.0 (2024-09-26)

We are excited to announce the release of MLflow 2.17.0! This release includes several enhancements to extend the functionality of MLflow's ChatModel interface to further extend its versatility for handling custom GenAI application use cases. Additionally, we've improved the interface within the tracing UI to provide a structured output for retrieved documents, enhancing the ability to read the contents of those documents within the UI. We're also starting the work on improving both the utility and the versatility of MLflow's evaluate functionality for GenAI, initially with support for callable GenAI evaluation metrics.

Major Features and notifications:

• ChatModel enhancements - As the GenAI-focused 'cousin' of PythonModel, ChatModel is getting some sizable functionality extensions. From native support for tool calling (a requirement for creating a custom agent), simpler conversions to the internal dataclass constructs needed to interface with ChatModel via the introduction of from_dict methods to all data structures, the addition of a metadata field to allow for full input payload customization, handling of the new refusal response type, to the inclusion of the interface type to the response structure to allow for greater integration compatibility. (#13191, #13180, #13143, @​daniellok-db, #13102, #13071, @​BenWilson2)

• Callable GenAI Evaluation Metrics - As the intial step in a much broader expansion of the functionalities of mlflow.evaluate for GenAI use cases, we've converted the GenAI evaluation metrics to be callable. This allows you to use them directly in packages that support

... (truncated)

Commits

• 4e711a9 Run python3 dev/update_mlflow_versions.py pre-release ... (#13550)
• 5eb0cdb Add prompt_tokens_details in llama-index tests (#13293)
• 9a14639 Fix spacy CI (#13341)
• 355e7ba Fix transformer CI (#13342)
• 57a7438 fix broken tests
• c174238 Support custom chat endpoint without endpoint type set as llm judge (#13538)
• 14e0987 Doc: Fix mlflow-spark JAR URL (#13396)
• 56e0da7 Keras output conversion for serving purpose (#13535)
• b38aa26 Remove warnings during Settings serialization (#13503)
• 882fb42 Fix update_model_requirements (#13519)
• Additional commits viewable in compare view

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Superseded by #811.