chore(deps): update dependency mlflow to v2.17.0 #149
Merged
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This PR contains the following updates:
==2.16.2
->==2.17.0
Warning
Some dependencies could not be looked up. Check the Dependency Dashboard for more information.
Release Notes
mlflow/mlflow (mlflow)
v2.17.0
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 functionalityextensions. 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 offrom_dict
methods to all data structures,the addition of a
metadata
field to allow for full input payload customization, handling of the newrefusal
response type, to theinclusion 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
forGenAI 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:
Workflows
objects to be serialized when callinglog_model()
(#13277, #13305, #13336, @B-Step62)from_dict()
function to ChatModel dataclasses (#13180, @daniellok-db)langchain.log_model()
(#13315, @sunishsheth2009)set_retriever_schema
(#13246, @sunishsheth2009)Bug fixes:
presigned_url_artifact
requests being in the wrong format (#13366, @WeichenXu123)langchain-databricks
partner package. (#13266, @B-Step62)Documentation updates:
run_id
parameter within thesearch_trace
API (#13251, @B-Step62)Small bug fixes and documentation updates:
#13372, #13271, #13243, #13226, #13190, #13230, #13208, #13130, #13045, #13094, @B-Step62; #13302, #13238, #13234, #13205, #13200, #13196, #13198, #13193, #13192, #13194, #13189, #13184, #13182, #13161, #13179, #13178, #13110, #13162, #13173, #13171, #13169, #13168, #13167, #13156, #13127, #13133, #13089, #13073, #13057, #13058, #13067, #13062, #13061, #13052, @harupy; #13295, #13219, #13038, @serena-ruan; #13176, #13164, @WeichenXu123; #13163, @gabrielfu; #13186, @varshinimuthukumar1; #13128, #13115, @nojaf; #13120, @levscaut; #13152, #13075, @BenWilson2; #13138, @tanguylefloch-veesion; #13087, @SeanAverS; #13285, #13051, #13043, @daniellok-db; #13224, @levscaut;
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