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security(deps): bump the pip group across 4 directories with 2 updates#411

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security(deps): bump the pip group across 4 directories with 2 updates#411
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@dependabot dependabot bot commented on behalf of github Apr 7, 2026

Bumps the pip group with 1 update in the /training/il/lerobot directory: mlflow.
Bumps the pip group with 1 update in the /shared/ci/tests/Fixtures/Pip directory: flask.
Bumps the pip group with 1 update in the /scripts/tests/Fixtures/Pip directory: flask.
Bumps the pip group with 1 update in the /evaluation/sil/docker directory: mlflow.

Updates mlflow from 3.10.1 to 3.11.0rc1

Release notes

Sourced from mlflow's releases.

v3.11.0rc1

Stripped third-party dependencies from evaluation and AI Gateway features, replacing external provider routing with built-in implementations.

v3.11.0rc0

We're excited to announce MLflow 3.11.0rc0, which includes several notable updates:

Major New Features:

  • 🔍 Automatic Issue Identification: Automatically identify quality issues in your agent with AI! Use the new "Detect Issues" button in the traces table to analyze selected traces and surface potential problems across categories like correctness, safety, and performance. Issues are linked directly to traces for easy investigation and debugging. (#21431, #21204, #21165, #21163, #21161, @​smoorjani, @​serena-ruan)
  • 💰 Gateway Budget Alerts & Limits: Control your AI Gateway spending with configurable budget policies! Set spending limits by time window (daily, weekly, or monthly), receive alerts before hitting limits, and prevent runaway costs with automatic request blocking. The new budget management UI lets you track spending, configure webhooks for notifications, and monitor violations across all your gateway endpoints. (#21116, #21534, #21569, #21473, #21108, @​TomeHirata, @​copilot-swe-agent)
  • 📊 Trace Graph View: Visualize complex trace hierarchies with an interactive graph view! Navigate multi-level trace structures, understand parent-child relationships at a glance, and debug complex systems more effectively with a visual representation of your trace topology. (#20607, @​joelrobin18)
  • 🌐 Native OpenTelemetry GenAI Convention Support: MLflow now natively supports the OpenTelemetry GenAI Semantic Conventions for trace export! When exporting traces via OTLP with MLFLOW_ENABLE_OTEL_GENAI_SEMCONV enabled, MLflow automatically translates them to follow the OTel GenAI semantic conventions, enabling seamless integration with OTel-compatible observability platforms while preserving GenAI-specific metadata. (#21494, #21495, @​B-Step62)
  • 🔧 Opencode Tracing Integration: Debug smarter with Opencode CLI integration! Track and analyze code execution flows directly from your development workflow, making it easier to identify performance bottlenecks and trace issues back to specific code paths. (#20133, @​joelrobin18)
  • ⚡ UV Package Manager Support: Automatic dependency inference now supports UV! MLflow automatically detects UV projects and captures exact, locked dependencies from your lockfile when logging models, ensuring reproducible environments. (#20344, #20935, @​debu-sinha)
  • 🔒 Pickle-Free Model Serialization: Enhance security with pickle-free model formats! MLflow now supports safer model serialization using torch.export and skops formats, with improved controls when MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False. Comprehensive documentation guides you through migrating existing models to pickle-free formats for production deployments. (#21404, #21188, #20774, @​WeichenXu123)

Breaking Changes:

  • ⚠️ TypeScript SDK Package Renaming: The MLflow TypeScript SDK packages have been renamed to use npm organization scoping. If you're using the TypeScript SDK, update your package.json dependencies and import statements: mlflow-tracing → @mlflow/core, mlflow-openai → @mlflow/openai, mlflow-anthropic → @mlflow/anthropic, mlflow-gemini → @mlflow/gemini. All packages are now at version 0.2.0. (#20792, @​B-Step62)

Stay tuned for the full release, which will be packed with even more features and bugfixes.

To try out this release candidate, please run:

pip install mlflow==3.11.0rc0

Changelog

Sourced from mlflow's changelog.

CHANGELOG

3.11.0 (2026-04-07)

MLflow 3.11.0 includes several major features and improvements.

Major New Features:

  • 🔍 Automatic Issue Identification: Automatically identify quality issues in your agent with AI! Use the new "Detect Issues" button in the traces table to analyze selected traces and surface potential problems across categories like correctness, safety, and performance. Issues are linked directly to traces for easy investigation and debugging. Docs (#21431, #21204, #21165, #21163, #21161, @​smoorjani, @​serena-ruan)
  • 💰 Gateway Budget Alerts & Limits: Control your AI Gateway spending with configurable budget policies! Set spending limits by time window (daily, weekly, or monthly), receive alerts before hitting limits, and prevent runaway costs with automatic request blocking. The new budget management UI lets you track spending, configure webhooks for notifications, and monitor violations across all your gateway endpoints. Docs (#21116, #21534, #21569, #21473, #21108, @​TomeHirata, @​copilot-swe-agent)
  • 📊 Trace Graph View: Visualize complex trace hierarchies with an interactive graph view! Navigate multi-level trace structures, understand parent-child relationships at a glance, and debug complex systems more effectively with a visual representation of your trace topology. Docs (#20607, @​joelrobin18)
  • 🌐 Native OpenTelemetry GenAI Convention Support: MLflow now natively supports the OpenTelemetry GenAI Semantic Conventions for trace export! When exporting traces via OTLP with MLFLOW_ENABLE_OTEL_GENAI_SEMCONV enabled, MLflow automatically translates them to follow the OTel GenAI semantic conventions, enabling seamless integration with OTel-compatible observability platforms while preserving GenAI-specific metadata. Docs (#21494, #21495, @​B-Step62)
  • 🔧 OpenCode Tracing Integration: Debug smarter with OpenCode CLI integration! Track and analyze code execution flows directly from your development workflow, making it easier to identify performance bottlenecks and trace issues back to specific code paths. Docs (#20133, @​joelrobin18)
  • ⚡ Native UV Support for Model Dependencies: Automatic dependency inference now supports UV! MLflow automatically detects UV projects and captures exact, locked dependencies from your lockfile when logging models, ensuring reproducible environments. Docs (#20344, #20935, @​debu-sinha)
  • 🔒 Pickle-Free Model Serialization: Enhance security with pickle-free model formats! MLflow now supports safer model serialization using torch.export and skops formats, with improved controls when MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False. Comprehensive documentation guides you through migrating existing models to pickle-free formats for production deployments. Docs (#21404, #21188, #20774, @​WeichenXu123)

Breaking Changes:

  • ⚠️ TypeScript SDK Package Renaming: The MLflow TypeScript SDK packages have been renamed to use npm organization scoping. If you're using the TypeScript SDK, update your package.json dependencies and import statements: mlflow-tracing → @mlflow/core, mlflow-openai → @mlflow/openai, mlflow-anthropic → @mlflow/anthropic, mlflow-gemini → @mlflow/gemini. All packages are now at version 0.2.0. (#20792, @​B-Step62)
  • Remove MLFLOW_ENABLE_INCREMENTAL_SPAN_EXPORT environment variable (#22182, @​PattaraS)
  • Remove litellm and gepa from genai extras (#22059, @​TomeHirata)
  • Block / and : in Registered Model names (#21458, @​Bhuvan-08)

Features:

... (truncated)

Commits

Updates flask from 3.0.0 to 3.1.3

Release notes

Sourced from flask's releases.

3.1.3

This is the Flask 3.1.3 security fix release, which fixes a security issue but does not otherwise change behavior and should not result in breaking changes compared to the latest feature release.

PyPI: https://pypi.org/project/Flask/3.1.3/ Changes: https://flask.palletsprojects.com/page/changes/#version-3-1-3

  • The session is marked as accessed for operations that only access the keys but not the values, such as in and len. GHSA-68rp-wp8r-4726

3.1.2

This is the Flask 3.1.2 fix release, which fixes bugs but does not otherwise change behavior and should not result in breaking changes compared to the latest feature release.

PyPI: https://pypi.org/project/Flask/3.1.2/ Changes: https://flask.palletsprojects.com/page/changes/#version-3-1-2 Milestone: https://github.com/pallets/flask/milestone/38?closed=1

  • stream_with_context does not fail inside async views. #5774
  • When using follow_redirects in the test client, the final state of session is correct. #5786
  • Relax type hint for passing bytes IO to send_file. #5776

3.1.1

This is the Flask 3.1.1 fix release, which fixes bugs but does not otherwise change behavior and should not result in breaking changes compared to the latest feature release.

PyPI: https://pypi.org/project/Flask/3.1.1/ Changes: https://flask.palletsprojects.com/en/stable/changes/#version-3-1-1 Milestone https://github.com/pallets/flask/milestone/36?closed=1

  • Fix signing key selection order when key rotation is enabled via SECRET_KEY_FALLBACKS. GHSA-4grg-w6v8-c28g
  • Fix type hint for cli_runner.invoke. #5645
  • flask --help loads the app and plugins first to make sure all commands are shown. #5673
  • Mark sans-io base class as being able to handle views that return AsyncIterable. This is not accurate for Flask, but makes typing easier for Quart. #5659

3.1.0

This is the Flask 3.1.0 feature release. A feature release may include new features, remove previously deprecated code, add new deprecations, or introduce potentially breaking changes. We encourage everyone to upgrade, and to use a tool such as pip-tools to pin all dependencies and control upgrades. Test with warnings treated as errors to be able to adapt to deprecation warnings early.

PyPI: https://pypi.org/project/Flask/3.1.0/ Changes: https://flask.palletsprojects.com/en/stable/changes/#version-3-1-0 Milestone: https://github.com/pallets/flask/milestone/33?closed=1

  • Drop support for Python 3.8. #5623
  • Update minimum dependency versions to latest feature releases. Werkzeug >= 3.1, ItsDangerous >= 2.2, Blinker >= 1.9. #5624, #5633
  • Provide a configuration option to control automatic option responses. #5496
  • Flask.open_resource/open_instance_resource and Blueprint.open_resource take an encoding parameter to use when opening in text mode. It defaults to utf-8. #5504
  • Request.max_content_length can be customized per-request instead of only through the MAX_CONTENT_LENGTH config. Added MAX_FORM_MEMORY_SIZE and MAX_FORM_PARTS config. Added documentation about resource limits to the security page. #5625
  • Add support for the Partitioned cookie attribute (CHIPS), with the SESSION_COOKIE_PARTITIONED config. #5472
  • -e path takes precedence over default .env and .flaskenv files. load_dotenv loads default files in addition to a path unless load_defaults=False is passed. #5628
  • Support key rotation with the SECRET_KEY_FALLBACKS config, a list of old secret keys that can still be used for unsigning. Extensions will need to add support. #5621
  • Fix how setting host_matching=True or subdomain_matching=False interacts with SERVER_NAME. Setting SERVER_NAME no longer restricts requests to only that domain. #5553
  • Request.trusted_hosts is checked during routing, and can be set through the TRUSTED_HOSTS config. #5636

3.0.3

... (truncated)

Changelog

Sourced from flask's changelog.

Version 3.1.3

Released 2026-02-18

  • The session is marked as accessed for operations that only access the keys but not the values, such as in and len. :ghsa:68rp-wp8r-4726

Version 3.1.2

Released 2025-08-19

  • stream_with_context does not fail inside async views. :issue:5774
  • When using follow_redirects in the test client, the final state of session is correct. :issue:5786
  • Relax type hint for passing bytes IO to send_file. :issue:5776

Version 3.1.1

Released 2025-05-13

  • Fix signing key selection order when key rotation is enabled via SECRET_KEY_FALLBACKS. :ghsa:4grg-w6v8-c28g
  • Fix type hint for cli_runner.invoke. :issue:5645
  • flask --help loads the app and plugins first to make sure all commands are shown. :issue:5673
  • Mark sans-io base class as being able to handle views that return AsyncIterable. This is not accurate for Flask, but makes typing easier for Quart. :pr:5659

Version 3.1.0

Released 2024-11-13

  • Drop support for Python 3.8. :pr:5623
  • Update minimum dependency versions to latest feature releases. Werkzeug >= 3.1, ItsDangerous >= 2.2, Blinker >= 1.9. :pr:5624,5633
  • Provide a configuration option to control automatic option responses. :pr:5496
  • Flask.open_resource/open_instance_resource and Blueprint.open_resource take an encoding parameter to use when opening in text mode. It defaults to utf-8. :issue:5504
  • Request.max_content_length can be customized per-request instead of only through the MAX_CONTENT_LENGTH config. Added

... (truncated)

Commits
  • 22d9247 release version 3.1.3
  • 089cb86 Merge commit from fork
  • c17f379 request context tracks session access
  • 27be933 start version 3.1.3
  • 4e652d3 Abort if the instance folder cannot be created (#5903)
  • 3d03098 Abort if the instance folder cannot be created
  • 407eb76 document using gevent for async (#5900)
  • ac5664d document using gevent for async
  • 4f79d5b Increase required flit_core version to 3.11 (#5865)
  • fe3b215 Increase required flit_core version to 3.11
  • Additional commits viewable in compare view

Updates flask from 3.0.0 to 3.1.3

Release notes

Sourced from flask's releases.

3.1.3

This is the Flask 3.1.3 security fix release, which fixes a security issue but does not otherwise change behavior and should not result in breaking changes compared to the latest feature release.

PyPI: https://pypi.org/project/Flask/3.1.3/ Changes: https://flask.palletsprojects.com/page/changes/#version-3-1-3

  • The session is marked as accessed for operations that only access the keys but not the values, such as in and len. GHSA-68rp-wp8r-4726

3.1.2

This is the Flask 3.1.2 fix release, which fixes bugs but does not otherwise change behavior and should not result in breaking changes compared to the latest feature release.

PyPI: https://pypi.org/project/Flask/3.1.2/ Changes: https://flask.palletsprojects.com/page/changes/#version-3-1-2 Milestone: https://github.com/pallets/flask/milestone/38?closed=1

  • stream_with_context does not fail inside async views. #5774
  • When using follow_redirects in the test client, the final state of session is correct. #5786
  • Relax type hint for passing bytes IO to send_file. #5776

3.1.1

This is the Flask 3.1.1 fix release, which fixes bugs but does not otherwise change behavior and should not result in breaking changes compared to the latest feature release.

PyPI: https://pypi.org/project/Flask/3.1.1/ Changes: https://flask.palletsprojects.com/en/stable/changes/#version-3-1-1 Milestone https://github.com/pallets/flask/milestone/36?closed=1

  • Fix signing key selection order when key rotation is enabled via SECRET_KEY_FALLBACKS. GHSA-4grg-w6v8-c28g
  • Fix type hint for cli_runner.invoke. #5645
  • flask --help loads the app and plugins first to make sure all commands are shown. #5673
  • Mark sans-io base class as being able to handle views that return AsyncIterable. This is not accurate for Flask, but makes typing easier for Quart. #5659

3.1.0

This is the Flask 3.1.0 feature release. A feature release may include new features, remove previously deprecated code, add new deprecations, or introduce potentially breaking changes. We encourage everyone to upgrade, and to use a tool such as pip-tools to pin all dependencies and control upgrades. Test with warnings treated as errors to be able to adapt to deprecation warnings early.

PyPI: https://pypi.org/project/Flask/3.1.0/ Changes: https://flask.palletsprojects.com/en/stable/changes/#version-3-1-0 Milestone: https://github.com/pallets/flask/milestone/33?closed=1

  • Drop support for Python 3.8. #5623
  • Update minimum dependency versions to latest feature releases. Werkzeug >= 3.1, ItsDangerous >= 2.2, Blinker >= 1.9. #5624, #5633
  • Provide a configuration option to control automatic option responses. #5496
  • Flask.open_resource/open_instance_resource and Blueprint.open_resource take an encoding parameter to use when opening in text mode. It defaults to utf-8. #5504
  • Request.max_content_length can be customized per-request instead of only through the MAX_CONTENT_LENGTH config. Added MAX_FORM_MEMORY_SIZE and MAX_FORM_PARTS config. Added documentation about resource limits to the security page. #5625
  • Add support for the Partitioned cookie attribute (CHIPS), with the SESSION_COOKIE_PARTITIONED config. #5472
  • -e path takes precedence over default .env and .flaskenv files. load_dotenv loads default files in addition to a path unless load_defaults=False is passed. #5628
  • Support key rotation with the SECRET_KEY_FALLBACKS config, a list of old secret keys that can still be used for unsigning. Extensions will need to add support. #5621
  • Fix how setting host_matching=True or subdomain_matching=False interacts with SERVER_NAME. Setting SERVER_NAME no longer restricts requests to only that domain. #5553
  • Request.trusted_hosts is checked during routing, and can be set through the TRUSTED_HOSTS config. #5636

3.0.3

... (truncated)

Changelog

Sourced from flask's changelog.

Version 3.1.3

Released 2026-02-18

  • The session is marked as accessed for operations that only access the keys but not the values, such as in and len. :ghsa:68rp-wp8r-4726

Version 3.1.2

Released 2025-08-19

  • stream_with_context does not fail inside async views. :issue:5774
  • When using follow_redirects in the test client, the final state of session is correct. :issue:5786
  • Relax type hint for passing bytes IO to send_file. :issue:5776

Version 3.1.1

Released 2025-05-13

  • Fix signing key selection order when key rotation is enabled via SECRET_KEY_FALLBACKS. :ghsa:4grg-w6v8-c28g
  • Fix type hint for cli_runner.invoke. :issue:5645
  • flask --help loads the app and plugins first to make sure all commands are shown. :issue:5673
  • Mark sans-io base class as being able to handle views that return AsyncIterable. This is not accurate for Flask, but makes typing easier for Quart. :pr:5659

Version 3.1.0

Released 2024-11-13

  • Drop support for Python 3.8. :pr:5623
  • Update minimum dependency versions to latest feature releases. Werkzeug >= 3.1, ItsDangerous >= 2.2, Blinker >= 1.9. :pr:5624,5633
  • Provide a configuration option to control automatic option responses. :pr:5496
  • Flask.open_resource/open_instance_resource and Blueprint.open_resource take an encoding parameter to use when opening in text mode. It defaults to utf-8. :issue:5504
  • Request.max_content_length can be customized per-request instead of only through the MAX_CONTENT_LENGTH config. Added

... (truncated)

Commits
  • 22d9247 release version 3.1.3
  • 089cb86 Merge commit from fork
  • c17f379 request context tracks session access
  • 27be933 start version 3.1.3
  • 4e652d3 Abort if the instance folder cannot be created (#5903)
  • 3d03098 Abort if the instance folder cannot be created
  • 407eb76 document using gevent for async (#5900)
  • ac5664d document using gevent for async
  • 4f79d5b Increase required flit_core version to 3.11 (#5865)
  • fe3b215 Increase required flit_core version to 3.11
  • Additional commits viewable in compare view

Updates mlflow from 3.9.0 to 3.11.0rc1

Release notes

Sourced from mlflow's releases.

v3.11.0rc1

Stripped third-party dependencies from evaluation and AI Gateway features, replacing external provider routing with built-in implementations.

v3.11.0rc0

We're excited to announce MLflow 3.11.0rc0, which includes several notable updates:

Major New Features:

  • 🔍 Automatic Issue Identification: Automatically identify quality issues in your agent with AI! Use the new "Detect Issues" button in the traces table to analyze selected traces and surface potential problems across categories like correctness, safety, and performance. Issues are linked directly to traces for easy investigation and debugging. (#21431, #21204, #21165, #21163, #21161, @​smoorjani, @​serena-ruan)
  • 💰 Gateway Budget Alerts & Limits: Control your AI Gateway spending with configurable budget policies! Set spending limits by time window (daily, weekly, or monthly), receive alerts before hitting limits, and prevent runaway costs with automatic request blocking. The new budget management UI lets you track spending, configure webhooks for notifications, and monitor violations across all your gateway endpoints. (#21116, #21534, #21569, #21473, #21108, @​TomeHirata, @​copilot-swe-agent)
  • 📊 Trace Graph View: Visualize complex trace hierarchies with an interactive graph view! Navigate multi-level trace structures, understand parent-child relationships at a glance, and debug complex systems more effectively with a visual representation of your trace topology. (#20607, @​joelrobin18)
  • 🌐 Native OpenTelemetry GenAI Convention Support: MLflow now natively supports the OpenTelemetry GenAI Semantic Conventions for trace export! When exporting traces via OTLP with MLFLOW_ENABLE_OTEL_GENAI_SEMCONV enabled, MLflow automatically translates them to follow the OTel GenAI semantic conventions, enabling seamless integration with OTel-compatible observability platforms while preserving GenAI-specific metadata. (#21494, #21495, @​B-Step62)
  • 🔧 Opencode Tracing Integration: Debug smarter with Opencode CLI integration! Track and analyze code execution flows directly from your development workflow, making it easier to identify performance bottlenecks and trace issues back to specific code paths. (#20133, @​joelrobin18)
  • ⚡ UV Package Manager Support: Automatic dependency inference now supports UV! MLflow automatically detects UV projects and captures exact, locked dependencies from your lockfile when logging models, ensuring reproducible environments. (#20344, #20935, @​debu-sinha)
  • 🔒 Pickle-Free Model Serialization: Enhance security with pickle-free model formats! MLflow now supports safer model serialization using torch.export and skops formats, with improved controls when MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False. Comprehensive documentation guides you through migrating existing models to pickle-free formats for production deployments. (#21404, #21188, #20774, @​WeichenXu123)

Breaking Changes:

  • ⚠️ TypeScript SDK Package Renaming: The MLflow TypeScript SDK packages have been renamed to use npm organization scoping. If you're using the TypeScript SDK, update your package.json dependencies and import statements: mlflow-tracing → @mlflow/core, mlflow-openai → @mlflow/openai, mlflow-anthropic → @mlflow/anthropic, mlflow-gemini → @mlflow/gemini. All packages are now at version 0.2.0. (#20792, @​B-Step62)

Stay tuned for the full release, which will be packed with even more features and bugfixes.

To try out this release candidate, please run:

pip install mlflow==3.11.0rc0

Changelog

Sourced from mlflow's changelog.

CHANGELOG

3.11.0 (2026-04-07)

MLflow 3.11.0 includes several major features and improvements.

Major New Features:

  • 🔍 Automatic Issue Identification: Automatically identify quality issues in your agent with AI! Use the new "Detect Issues" button in the traces table to analyze selected traces and surface potential problems across categories like correctness, safety, and performance. Issues are linked directly to traces for easy investigation and debugging. Docs (#21431, #21204, #21165, #21163, #21161, @​smoorjani, @​serena-ruan)
  • 💰 Gateway Budget Alerts & Limits: Control your AI Gateway spending with configurable budget policies! Set spending limits by time window (daily, weekly, or monthly), receive alerts before hitting limits, and prevent runaway costs with automatic request blocking. The new budget management UI lets you track spending, configure webhooks for notifications, and monitor violations across all your gateway endpoints. Docs (#21116, #21534, #21569, #21473, #21108, @​TomeHirata, @​copilot-swe-agent)
  • 📊 Trace Graph View: Visualize complex trace hierarchies with an interactive graph view! Navigate multi-level trace structures, understand parent-child relationships at a glance, and debug complex systems more effectively with a visual representation of your trace topology. Docs (#20607, @​joelrobin18)
  • 🌐 Native OpenTelemetry GenAI Convention Support: MLflow now natively supports the OpenTelemetry GenAI Semantic Conventions for trace export! When exporting traces via OTLP with MLFLOW_ENABLE_OTEL_GENAI_SEMCONV enabled, MLflow automatically translates them to follow the OTel GenAI semantic conventions, enabling seamless integration with OTel-compatible observability platforms while preserving GenAI-specific metadata. Docs (#21494, #21495, @​B-Step62)
  • 🔧 OpenCode Tracing Integration: Debug smarter with OpenCode CLI integration! Track and analyze code execution flows directly from your development workflow, making it easier to identify performance bottlenecks and trace issues back to specific code paths. Docs (#20133, @​joelrobin18)
  • ⚡ Native UV Support for Model Dependencies: Automatic dependency inference now supports UV! MLflow automatically detects UV projects and captures exact, locked dependencies from your lockfile when logging models, ensuring reproducible environments. Docs (#20344, #20935, @​debu-sinha)
  • 🔒 Pickle-Free Model Serialization: Enhance security with pickle-free model formats! MLflow now supports safer model serialization using torch.export and skops formats, with improved controls when MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False. Comprehensive documentation guides you through migrating existing models to pickle-free formats for production deployments. Docs (#21404, #21188, #20774, @​WeichenXu123)

Breaking Changes:

  • ⚠️ TypeScript SDK Package Renaming: The MLflow TypeScript SDK packages have been renamed to use npm organization scoping. If you're using the TypeScript SDK, update your package.json dependencies and import statements: mlflow-tracing → @mlflow/core, mlflow-openai → @mlflow/openai, mlflow-anthropic → @mlflow/anthropic, mlflow-gemini → @mlflow/gemini. All packages are now at version 0.2.0. (#20792, @​B-Step62)
  • Remove MLFLOW_ENABLE_INCREMENTAL_SPAN_EXPORT environment variable (#22182, @​PattaraS)
  • Remove litellm and gepa from genai extras (#22059, @​TomeHirata)
  • Block / and : in Registered Model names (#21458, @​Bhuvan-08)

Features:

... (truncated)

Commits
  • 2627607 update uv.lock (#22235)
  • 099fe52 bump version to rc1 (#22232)
  • 0e2ae1b Fix telemetry initialization and flush in job subprocesses (#22222)
  • 6da4f10 Move native providers to non-LiteLLM in gateway UI (#22203)
  • b934d23 Fix response parsing for older models (#22138)
  • d2d92ee Remove MLFLOW_ENABLE_INCREMENTAL_SPAN_EXPORT environment variable (#22182)
  • aaad8d8 Remove notification and redirect to eval run (#22175)
  • 3f220eb Replace torch dependency group with requirements/torch.txt (Description has been truncated

@dependabot
chore(deps): bump the pip group across 4 directories with 2 updates
7964609 
Bumps the pip group with 1 update in the /training/il/lerobot directory: [mlflow](https://github.com/mlflow/mlflow).
Bumps the pip group with 1 update in the /shared/ci/tests/Fixtures/Pip directory: [flask](https://github.com/pallets/flask).
Bumps the pip group with 1 update in the /scripts/tests/Fixtures/Pip directory: [flask](https://github.com/pallets/flask).
Bumps the pip group with 1 update in the /evaluation/sil/docker directory: [mlflow](https://github.com/mlflow/mlflow).


Updates `mlflow` from 3.10.1 to 3.11.0rc1
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v3.10.1...v3.11.0rc1)

Updates `flask` from 3.0.0 to 3.1.3
- [Release notes](https://github.com/pallets/flask/releases)
- [Changelog](https://github.com/pallets/flask/blob/main/CHANGES.rst)
- [Commits](pallets/flask@3.0.0...3.1.3)

Updates `flask` from 3.0.0 to 3.1.3
- [Release notes](https://github.com/pallets/flask/releases)
- [Changelog](https://github.com/pallets/flask/blob/main/CHANGES.rst)
- [Commits](pallets/flask@3.0.0...3.1.3)

Updates `mlflow` from 3.9.0 to 3.11.0rc1
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](mlflow/mlflow@v3.10.1...v3.11.0rc1)

---
updated-dependencies:
- dependency-name: mlflow
  dependency-version: 3.11.0rc1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: flask
  dependency-version: 3.1.3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: flask
  dependency-version: 3.1.3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: mlflow
  dependency-version: 3.11.0rc1
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added dependencies Dependency version updates python Pull requests that update python code labels Apr 7, 2026
@github-actions github-actions bot changed the title chore(deps): bump the pip group across 4 directories with 2 updates security(deps): bump the pip group across 4 directories with 2 updates Apr 7, 2026
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github-actions bot commented Apr 7, 2026

Dependency Review

The following issues were found:
  • ✅ 0 vulnerable package(s)
  • ✅ 0 package(s) with incompatible licenses
  • ✅ 0 package(s) with invalid SPDX license definitions
  • ⚠️ 2 package(s) with unknown licenses.
See the Details below.

Snapshot Warnings

⚠️: No snapshots were found for the head SHA 7964609.
Ensure that dependencies are being submitted on PR branches and consider enabling retry-on-snapshot-warnings. See the documentation for more information and troubleshooting advice.

License Issues

evaluation/sil/docker/requirements-lerobot-eval.txt

PackageVersionLicenseIssue Type
mlflow3.11.0rc1NullUnknown License

training/il/lerobot/pyproject.toml

PackageVersionLicenseIssue Type
mlflow3.11.0rc1NullUnknown License

OpenSSF Scorecard

PackageVersionScoreDetails
pip/mlflow 3.11.0rc1 UnknownUnknown
pip/flask 3.1.3 UnknownUnknown
pip/mlflow 3.11.0rc1 UnknownUnknown

Scanned Files

  • evaluation/sil/docker/requirements-lerobot-eval.txt
  • shared/ci/tests/Fixtures/Pip/pinned-requirements.txt
  • training/il/lerobot/pyproject.toml

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codecov-commenter commented Apr 7, 2026 •
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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 50.48%. Comparing base (0c29148) to head (7964609).

Additional details and impacted files 
@@           Coverage Diff           @@
##             main     #411   +/-   ##
=======================================
  Coverage   50.48%   50.48%           
=======================================
  Files         267      267           
  Lines       18188    18188           
  Branches     1903     1855   -48     
=======================================
  Hits         9182     9182           
  Misses       8716     8716           
  Partials      290      290
Flag Coverage Δ *Carryforward flag
pester 81.21% <ø> (ø)
pytest 6.89% <ø> (ø) Carriedforward from 0c29148
pytest-dataviewer 61.97% <ø> (ø)
vitest 50.72% <ø> (ø)

*This pull request uses carry forward flags. Click here to find out more.

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