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Bump mlflow from 2.16.0 to 3.1.4 #18

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@dependabot dependabot bot commented on behalf of github Aug 1, 2025

Bumps mlflow from 2.16.0 to 3.1.4.

Release notes

Sourced from mlflow's releases.

v3.1.4

MLflow 3.1.4 includes several major features and improvements

Small bug fixes and documentation updates:

#16835, #16820, @​daniellok-db

v3.1.3

MLflow 3.1.3 includes several features and improvements

Features:

  • [Artifacts / Tracking] Do not copy file permissions when logging artifacts to local artifact repo (#16642, @​connortann)
  • [Tracking] Add support for OpenAI ChatCompletions parse method (#16493, @​harupy)

Bug fixes:

  • [Deployments] Propagate MLFLOW_DEPLOYMENT_PREDICT_TIMEOUT to databricks-sdk (#16783, @​bbqiu)
  • [Model Registry] Fix issue with search_registered_models with Databricks UC backend not supporting filter_string (#16766, @​BenWilson2)
  • [Evaluation] Bug fix: Databricks GenAI evaluation dataset source returns string, instead of DatasetSource instance (#16712, @​dbczumar)
  • [Tracking] Fix the position of added tracking_uri param to artifact store implementations (#16653, @​BenWilson2)

Small bug fixes and documentation updates:

#16786, #16692, @​daniellok-db; #16594, @​ngoduykhanh; #16475, @​harupy

v3.1.2

[!WARNING] This version has been yanked. MLflow 3.1.3 will be released shortly.

MLflow 3.1.2 is a patch release that includes several bug fixes.

Bug fixes:

  • [Tracking] Fix download_artifacts ignoring tracking_uri parameter (#16461, @​harupy)
  • [Models] Fix event type for ResponsesAgent error (#16427, @​bbqiu)
  • [Models] Remove falsey chat conversion for LangGraph models (#16601, @​B-Step62)
  • [Tracing] Use empty Resource when instantiating OTel provider to fix LiteLLM tracing issue (#16590, @​B-Step62)

Small fixes and documentation updates:

#16568, #16454, #16617, #16605, #16569, #16553, #16625, @​B-Step62; #16571, #16552, #16452, #16395, #16446, #16420, #16447, #16554, #16515, @​frontsideair; #16558, #16443, #16457, @​16442, #16449, @​harupy; #16509, #16512, #16524, #16514, #16607, @​TomeHirata; #16541, @​copilot-swe-agent; #16427, @​bbqiu; #16573, @​daniellok-db; #16470, #16281, @​BenWilson2

v3.1.1

MLflow 3.1.1 includes several major features and improvements

Features:

  • [Model Registry / Sqlalchemy] Increase prompt text limit from 5K to 100K (#16377, @​harupy)
  • [Tracking] Support pagination in get-history of FileStore and SqlAlchemyStore (#16325, @​TomeHirata)

... (truncated)

Changelog

Sourced from mlflow's changelog.

3.1.4 (2025-07-23)

MLflow 3.1.4 includes several major features and improvements

Small bug fixes and documentation updates:

#16835, #16820, @​daniellok-db

3.1.3 (2025-07-22)

MLflow 3.1.3 includes several major features and improvements

Features:

  • [Artifacts / Tracking] Do not copy file permissions when logging artifacts to local artifact repo (#16642, @​connortann)
  • [Tracking] Add support for OpenAI ChatCompletions parse method (#16493, @​harupy)

Bug fixes:

  • [Deployments] Propagate MLFLOW_DEPLOYMENT_PREDICT_TIMEOUT to databricks-sdk (#16783, @​bbqiu)
  • [Model Registry] Fix issue with search_registered_models with Databricks UC backend not supporting filter_string (#16766, @​BenWilson2)
  • [Evaluation] Bug fix: Databricks GenAI evaluation dataset source returns string, instead of DatasetSource instance (#16712, @​dbczumar)
  • [Tracking] Fix the position of added tracking_uri param to artifact store implementations (#16653, @​BenWilson2)

Small bug fixes and documentation updates:

#16786, #16692, @​daniellok-db; #16594, @​ngoduykhanh; #16475, @​harupy

3.1.2 (2025-07-08)

MLflow 3.1.2 is a patch release that includes several bug fixes.

Bug fixes:

  • [Tracking] Fix download_artifacts ignoring tracking_uri parameter (#16461, @​harupy)
  • [Models] Fix event type for ResponsesAgent error (#16427, @​bbqiu)
  • [Models] Remove falsey chat conversion for LangGraph models (#16601, @​B-Step62)
  • [Tracing] Use empty Resource when instantiating OTel provider to fix LiteLLM tracing issue (#16590, @​B-Step62)

Small fixes and documentation updates:

#16568, #16454, #16617, #16605, #16569, #16553, #16625, @​B-Step62; #16571, #16552, #16452, #16395, #16446, #16420, #16447, #16554, #16515, @​frontsideair; #16558, #16443, #16457, @​16442, #16449, @​harupy; #16509, #16512, #16524, #16514, #16607, @​TomeHirata; #16541, @​copilot-swe-agent; #16427, @​bbqiu; #16573, @​daniellok-db; #16470, #16281, @​BenWilson2

3.1.1 (2025-06-25)

MLflow 3.1.1 includes several major features and improvements

Features:

  • [Model Registry / Sqlalchemy] Increase prompt text limit from 5K to 100K (#16377, @​harupy)

... (truncated)

Commits
  • d393a0c Run python3 dev/update_mlflow_versions.py pre-release ...
  • bbe2e93 Fix Java POM for central release (#16835)
  • 91712a5 lint change
  • 6d1469d fix merge for model serialization
  • 3fa96eb Fix releasing to central (#16820)
  • 377a0f2 update mlflow-tracing version
  • 5cc8e8d Update build scripts to handle mlflow-tracing (#15860)
  • 3acca54 Propagate MLFLOW_DEPLOYMENT_PREDICT_TIMEOUT to databricks-sdk (#16783)
  • 16748ac Update pom with further fixes (#16786)
  • 311a331 Fix issue with search_registered_models with Databricks UC backend not suppor...
  • Additional commits viewable in compare view

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Bumps [mlflow](https://github.com/mlflow/mlflow) from 2.16.0 to 3.1.4.
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v2.16.0...v3.1.4)

---
updated-dependencies:
- dependency-name: mlflow
  dependency-version: 3.1.4
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Aug 1, 2025
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