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Bump mlflow from 2.22.0 to 3.5.0 in /requirements#28

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Bump mlflow from 2.22.0 to 3.5.0 in /requirements#28
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@dependabot dependabot bot commented on behalf of github Jan 13, 2026

Bumps mlflow from 2.22.0 to 3.5.0.

Release notes

Sourced from mlflow's releases.

v3.5.0

MLflow 3.5.0 includes several major features and improvements!

Major Features

  • 🤖 Tracing support for Claude Code SDK: MLflow now provides a tracing integration for both the Claude Code CLI and SDK! Configure the autologging integration to track your prompts, Claude's responses, tool calls, and more. Check out this doc page to get started. (#18022, @​smoorjani)
  • 🎯 Flexible Prompt Optimization API: Introduced a new flexible API for prompt optimization with support for model switching and the GEPA algorithm, enabling more efficient prompt tuning with fewer rollouts. See the documentation to get started. (#18183, #18031, @​TomeHirata)
  • 🎨 Enhanced UI Onboarding: Improved in-product onboarding experience with trace quickstart drawer and updated homepage guidance to help users discover MLflow's latest features. (#18098, #18187, @​B-Step62)
  • 🔐 Security Middleware for Tracking Server: Added a security middleware layer to protect against DNS rebinding, CORS attacks, and other security threats. Read the documentation for configuration details. (#17910, @​BenWilson2)

Features

Bug Fixes

... (truncated)

Changelog

Sourced from mlflow's changelog.

3.5.0 (2025-10-16)

MLflow 3.5.0 includes several major features and improvements!

Major Features

  • ⚙️ Job Execution Backend: Introduced a new job execution backend infrastructure for running asynchronous tasks with individual execution pools, job search capabilities, and transient error handling. (#17676, #18012, #18070, #18071, #18112, #18049, @​WeichenXu123)
  • 🎯 Flexible Prompt Optimization API: Introduced a new flexible API for prompt optimization with support for model switching and the GEPA algorithm, enabling more efficient prompt tuning with fewer rollouts. See the documentation to get started. (#18183, #18031, @​TomeHirata)
  • 🎨 Enhanced UI Onboarding: Improved in-product onboarding experience with trace quickstart drawer and updated homepage guidance to help users discover MLflow's latest features. (#18098, #18187, @​B-Step62)
  • 🔐 Security Middleware for Tracking Server: Added a security middleware layer to protect against DNS rebinding, CORS attacks, and other security threats. Read the documentation for configuration details. (#17910, @​BenWilson2)

Features

Bug Fixes

... (truncated)

Commits

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Note

Dependency update

  • Bumps mlflow from 2.22.0 to 3.5.0 in requirements/test.txt (used via terratorch).
  • No code changes; mlflow-skinny remains at 2.22.0.

Written by Cursor Bugbot for commit 9046133. This will update automatically on new commits. Configure here.

Bumps [mlflow](https://github.com/mlflow/mlflow) from 2.22.0 to 3.5.0.
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v2.22.0...v3.5.0)

---
updated-dependencies:
- dependency-name: mlflow
  dependency-version: 3.5.0
  dependency-type: direct:production
...

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@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Jan 13, 2026
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mistral-common==1.8.5
# via -r requirements/test.in
mlflow==2.22.0
mlflow==3.5.0
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mlflow 与 mlflow-skinny 版本不兼容

High Severity

mlflow 被升级到 3.5.0,但 mlflow-skinny 仍然保持在 2.22.0 版本。这是一个主版本不匹配问题(2.x 与 3.x)。mlflow-skinnymlflow 的依赖项(如 "# via mlflow" 所示),两者应该使用兼容的版本号。这种版本不匹配可能会导致运行时错误、导入失败或 API 不兼容问题。需要将 mlflow-skinny 也升级到 3.5.0 版本。

Fix in Cursor Fix in Web

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