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@dependabot dependabot bot commented on behalf of github Jan 13, 2026

Bumps the pip group with 1 update in the /edgeai/efficientnet-b3-stanford-cars/mlruns/387138003911017072/models/m-5af6dec84a924fdda55144b9ef86abdd/artifacts directory: mlflow.
Bumps the pip group with 1 update in the /edgeai/efficientnet-b3-stanford-cars/mlruns/387138003911017072/models/m-5efb4eab983947ca98b18aadd7d74183/artifacts directory: mlflow.
Bumps the pip group with 1 update in the /edgeai/efficientnet-b5-stanford-cars/mlruns/505550186997757802/models/m-dcb6682ff42b407a9e297fe345ca5355/artifacts directory: mlflow.

Updates mlflow from 3.5.0rc0 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

Updates mlflow from 3.5.0rc0 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

Updates mlflow from 3.5.0rc0 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

  • [Tracing] Fix parent run resolution mechanism for LangChain (#17273, @​B-Step62)
  • [Tracing]...

    Description has been truncated

Bumps the pip group with 1 update in the /edgeai/efficientnet-b3-stanford-cars/mlruns/387138003911017072/models/m-5af6dec84a924fdda55144b9ef86abdd/artifacts directory: [mlflow](https://github.com/mlflow/mlflow).
Bumps the pip group with 1 update in the /edgeai/efficientnet-b3-stanford-cars/mlruns/387138003911017072/models/m-5efb4eab983947ca98b18aadd7d74183/artifacts directory: [mlflow](https://github.com/mlflow/mlflow).
Bumps the pip group with 1 update in the /edgeai/efficientnet-b5-stanford-cars/mlruns/505550186997757802/models/m-dcb6682ff42b407a9e297fe345ca5355/artifacts directory: [mlflow](https://github.com/mlflow/mlflow).


Updates `mlflow` from 3.5.0rc0 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@v3.5.0rc0...v3.5.0)

Updates `mlflow` from 3.5.0rc0 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@v3.5.0rc0...v3.5.0)

Updates `mlflow` from 3.5.0rc0 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@v3.5.0rc0...v3.5.0)

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

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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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