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Bump mlflow from 2.16.2 to 2.22.2

Open dependabot[bot] opened this issue 7 months ago • 0 comments

Bumps mlflow from 2.16.2 to 2.22.2.

Release notes

Sourced from mlflow's releases.

v2.22.2

Lightweight patch release to backport #15970 to v2.22.2.

v2.22.1

MLflow 2.22.1 includes several major features and improvements

Features:

  • [Scoring] For DBConnect client, make spark_udf support DBR 15.4 and DBR dedicated cluster (#15938, @​WeichenXu123)

Bug fixes:

  • [Model Registry] Log Resources from SystemAuthPolicy in CreateModelVersion (#15485, @​aravind-segu)
  • [Tracking] Trace search: Avoid spawning threads for span fetching if include_spans=False (#, @​dbczumar)

Documentation updates:

Small bug fixes and documentation updates:

#15523, #15728, @​TomeHirata; #13997, #16025, #15647, #16030, @​harupy; #15786, @​rahuja23; #15703, @​joelrobin18; #15612, @​serena-ruan; #16031, @​daniellok-db; #15841, @​frontsideair; #15807, @​B-Step62

MLflow 2.22.0 brings important bug fixes and improves the UI and tracking capabilities.

Features:

Bug Fixes:

  • [Tracking / UI] Fixed serialization for structured output in langchain_tracer + added unit tests (#14971, @​joelrobin18)
  • [Server-infra] Enforced password validation for authentication (min. 8 characters) (#15287, @​WeichenXu123)
  • [Deployments] Resolved an issue with the OpenAI Gateway adapter (#15286, @​WeichenXu123)
  • [Artifacts / Tracking / Server-infra] Normalized paths by stripping trailing slashes (#15016, @​tarek7669)
  • [Tags] Fixed bug where tag values containing ": " were being truncated (#14896, @​harupy)

Small bug fixes and documentation updates:

#15396, #15379, #15292, #15305, #15078, #15251, #15267, #15208, #15104, #15045, #15084, #15055, #15056, #15048, #14946, #14956, #14903, #14854, #14830, @​serena-ruan; #15417, #15256, #15186, #15007, @​TomeHirata; #15119, @​bbqiu; #15413, #15314, #15311, #15303, #15301, #15288, #15275, #15269, #15272, #15268, #15262, #15266, #15264, #15261, #15252, #15249, #15244, #15236, #15235, #15237, #15140, #14982, #14898, #14893, #14861, #14870, #14853, #14849, #14813, #14822, @​harupy; #15333, #15298, #15300, #15156, #15019, #14957, @​B-Step62; #15313, #15297, #14880, @​daniellok-db; #15066, #15074, #14913, @​joelrobin18; #15232, @​kbolashev; #15242, @​dbczumar; #15210, #15178, @​WeichenXu123; #15187, #15177, @​hubertzub-db; #15059, #15070, #15050, #15012, #14959, #14918, #15005, #14965, #14858, #14930, #14927, #14786, #14883, #14863, #14852, #14788, @​Gumichocopengin8; #15134, #15129, #15120, #15117, #15002, #14997, #14996, #14998, #14975, #14874, @​mlflow-automation; #14920, #14919, @​jaceklaskowski

MLflow 2.21.3 includes a few bug fixes and feature updates.

... (truncated)

Changelog

Sourced from mlflow's changelog.

CHANGELOG

3.4.0rc0 (2025-09-11)

MLflow 3.4.0rc0 includes several major features and improvements

Major New Features

  • 📊 OpenTelemetry Metrics Export: MLflow now exports span-level statistics as OpenTelemetry metrics, providing enhanced observability and monitoring capabilities for traced applications. (#17325, @​dbczumar)
  • 🤖 MCP Server Integration: Introducing the Model Context Protocol (MCP) server for MLflow, enabling AI assistants and LLMs to interact with MLflow programmatically. (#17122, @​harupy)
  • 🧑‍⚖️ Custom Judges API: New make_judge API enables creation of custom evaluation judges for assessing LLM outputs with domain-specific criteria. (#17647, @​BenWilson2, @​dbczumar, @​alkispoly-db, @​smoorjani)
  • 📈 Correlations Backend: Implemented backend infrastructure for storing and computing correlations between experiment metrics using NPMI (Normalized Pointwise Mutual Information). (#17309, #17368, @​BenWilson2)
  • 🗂️ Evaluation Datasets: MLflow now supports storing and versioning evaluation datasets directly within experiments for reproducible model assessment. (#17447, @​BenWilson2)
  • 🔗 Databricks Backend for MLflow Server: MLflow server can now use Databricks as a backend, enabling seamless integration with Databricks workspaces. (#17411, @​nsthorat)
  • 🤖 Claude Autologging: Automatic tracing support for Claude AI interactions, capturing conversations and model responses. (#17305, @​smoorjani)
  • 🌊 Strands Agent Tracing: Added comprehensive tracing support for Strands agents, including automatic instrumentation for agent workflows and interactions. (#17151, @​joelrobin18)

Features:

Bug fixes:

... (truncated)

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dependabot[bot] avatar Sep 12 '25 14:09 dependabot[bot]