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Bump the pip group across 4 directories with 3 updates#29

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Bump the pip group across 4 directories with 3 updates#29
dependabot[bot] wants to merge 1 commit intomainfrom
dependabot/pip/EdgeFieldDay2025/EdgeAI_on_ZKS/edge-ai-car-classification-main/sync-sidecar/pip-cc044b16bd

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@dependabot dependabot bot commented on behalf of github Apr 8, 2026

Bumps the pip group with 1 update in the /EdgeFieldDay2025/edge-ai-car-classification/sync-sidecar directory: requests.
Bumps the pip group with 2 updates in the /edgeai/efficientnet-b3-stanford-cars/mlruns/387138003911017072/models/m-5af6dec84a924fdda55144b9ef86abdd/artifacts directory: mlflow and onnx.
Bumps the pip group with 2 updates in the /edgeai/efficientnet-b3-stanford-cars/mlruns/387138003911017072/models/m-5efb4eab983947ca98b18aadd7d74183/artifacts directory: mlflow and onnx.
Bumps the pip group with 2 updates in the /edgeai/efficientnet-b5-stanford-cars/mlruns/505550186997757802/models/m-dcb6682ff42b407a9e297fe345ca5355/artifacts directory: mlflow and onnx.

Updates requests from 2.32.4 to 2.33.0

Release notes

Sourced from requests's releases.

v2.33.0

2.33.0 (2026-03-25)

Announcements

  • 📣 Requests is adding inline types. If you have a typed code base that uses Requests, please take a look at #7271. Give it a try, and report any gaps or feedback you may have in the issue. 📣

Security

  • CVE-2026-25645 requests.utils.extract_zipped_paths now extracts contents to a non-deterministic location to prevent malicious file replacement. This does not affect default usage of Requests, only applications calling the utility function directly.

Improvements

  • Migrated to a PEP 517 build system using setuptools. (#7012)

Bugfixes

  • Fixed an issue where an empty netrc entry could cause malformed authentication to be applied to Requests on Python 3.11+. (#7205)

Deprecations

  • Dropped support for Python 3.9 following its end of support. (#7196)

Documentation

  • Various typo fixes and doc improvements.

New Contributors

Full Changelog: https://github.com/psf/requests/blob/main/HISTORY.md#2330-2026-03-25

v2.32.5

2.32.5 (2025-08-18)

Bugfixes

  • The SSLContext caching feature originally introduced in 2.32.0 has created a new class of issues in Requests that have had negative impact across a number of use cases. The Requests team has decided to revert this feature as long term maintenance of it is proving to be unsustainable in its current iteration.

Deprecations

  • Added support for Python 3.14.
  • Dropped support for Python 3.8 following its end of support.
Changelog

Sourced from requests's changelog.

2.33.0 (2026-03-25)

Announcements

  • 📣 Requests is adding inline types. If you have a typed code base that uses Requests, please take a look at #7271. Give it a try, and report any gaps or feedback you may have in the issue. 📣

Security

  • CVE-2026-25645 requests.utils.extract_zipped_paths now extracts contents to a non-deterministic location to prevent malicious file replacement. This does not affect default usage of Requests, only applications calling the utility function directly.

Improvements

  • Migrated to a PEP 517 build system using setuptools. (#7012)

Bugfixes

  • Fixed an issue where an empty netrc entry could cause malformed authentication to be applied to Requests on Python 3.11+. (#7205)

Deprecations

  • Dropped support for Python 3.9 following its end of support. (#7196)

Documentation

  • Various typo fixes and doc improvements.

2.32.5 (2025-08-18)

Bugfixes

  • The SSLContext caching feature originally introduced in 2.32.0 has created a new class of issues in Requests that have had negative impact across a number of use cases. The Requests team has decided to revert this feature as long term maintenance of it is proving to be unsustainable in its current iteration.

Deprecations

  • Added support for Python 3.14.
  • Dropped support for Python 3.8 following its end of support.
Commits
  • bc04dfd v2.33.0
  • 66d21cb Merge commit from fork
  • 8b9bc8f Move badges to top of README (#7293)
  • e331a28 Remove unused extraction call (#7292)
  • 753fd08 docs: fix FAQ grammar in httplib2 example
  • 774a0b8 docs(socks): same block as other sections
  • 9c72a41 Bump github/codeql-action from 4.33.0 to 4.34.1
  • ebf7190 Bump github/codeql-action from 4.32.0 to 4.33.0
  • 0e4ae38 docs: exclude Response.is_permanent_redirect from API docs (#7244)
  • d568f47 docs: clarify Quickstart POST example (#6960)
  • Additional commits viewable in compare view

Updates requests from 2.32.4 to 2.33.0

Release notes

Sourced from requests's releases.

v2.33.0

2.33.0 (2026-03-25)

Announcements

  • 📣 Requests is adding inline types. If you have a typed code base that uses Requests, please take a look at #7271. Give it a try, and report any gaps or feedback you may have in the issue. 📣

Security

  • CVE-2026-25645 requests.utils.extract_zipped_paths now extracts contents to a non-deterministic location to prevent malicious file replacement. This does not affect default usage of Requests, only applications calling the utility function directly.

Improvements

  • Migrated to a PEP 517 build system using setuptools. (#7012)

Bugfixes

  • Fixed an issue where an empty netrc entry could cause malformed authentication to be applied to Requests on Python 3.11+. (#7205)

Deprecations

  • Dropped support for Python 3.9 following its end of support. (#7196)

Documentation

  • Various typo fixes and doc improvements.

New Contributors

Full Changelog: https://github.com/psf/requests/blob/main/HISTORY.md#2330-2026-03-25

v2.32.5

2.32.5 (2025-08-18)

Bugfixes

  • The SSLContext caching feature originally introduced in 2.32.0 has created a new class of issues in Requests that have had negative impact across a number of use cases. The Requests team has decided to revert this feature as long term maintenance of it is proving to be unsustainable in its current iteration.

Deprecations

  • Added support for Python 3.14.
  • Dropped support for Python 3.8 following its end of support.
Changelog

Sourced from requests's changelog.

2.33.0 (2026-03-25)

Announcements

  • 📣 Requests is adding inline types. If you have a typed code base that uses Requests, please take a look at #7271. Give it a try, and report any gaps or feedback you may have in the issue. 📣

Security

  • CVE-2026-25645 requests.utils.extract_zipped_paths now extracts contents to a non-deterministic location to prevent malicious file replacement. This does not affect default usage of Requests, only applications calling the utility function directly.

Improvements

  • Migrated to a PEP 517 build system using setuptools. (#7012)

Bugfixes

  • Fixed an issue where an empty netrc entry could cause malformed authentication to be applied to Requests on Python 3.11+. (#7205)

Deprecations

  • Dropped support for Python 3.9 following its end of support. (#7196)

Documentation

  • Various typo fixes and doc improvements.

2.32.5 (2025-08-18)

Bugfixes

  • The SSLContext caching feature originally introduced in 2.32.0 has created a new class of issues in Requests that have had negative impact across a number of use cases. The Requests team has decided to revert this feature as long term maintenance of it is proving to be unsustainable in its current iteration.

Deprecations

  • Added support for Python 3.14.
  • Dropped support for Python 3.8 following its end of support.
Commits
  • bc04dfd v2.33.0
  • 66d21cb Merge commit from fork
  • 8b9bc8f Move badges to top of README (#7293)
  • e331a28 Remove unused extraction call (#7292)
  • 753fd08 docs: fix FAQ grammar in httplib2 example
  • 774a0b8 docs(socks): same block as other sections
  • 9c72a41 Bump github/codeql-action from 4.33.0 to 4.34.1
  • ebf7190 Bump github/codeql-action from 4.32.0 to 4.33.0
  • 0e4ae38 docs: exclude Response.is_permanent_redirect from API docs (#7244)
  • d568f47 docs: clarify Quickstart POST example (#6960)
  • Additional commits viewable in compare view

Updates mlflow from 3.5.0rc0 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

v3.10.1

MLflow 3.10.1 is a patch release that contains some minor feature enhancements, bug fixes, and documentation updates.

Features:

Bug fixes:

... (truncated)

Changelog

Sourced from mlflow's changelog.

CHANGELOG

3.11.1 (2026-04-07)

MLflow 3.11.1 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 onnx from 1.19.0 to 1.21.0

Release notes

Sourced from onnx's releases.

v1.21.0

ONNX v1.21.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.

What's Changed

Breaking Changes and Deprecations

Spec and Operator

Reference Implementation

Utilities and Tools

Build, CI and Tests

... (truncated)

Commits

Updates mlflow from 3.5.0rc0 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

v3.10.1

MLflow 3.10.1 is a patch release that contains some minor feature enhancements, bug fixes, and documentation updates.

Features:

Bug fixes:

... (truncated)

Changelog

Sourced from mlflow's changelog.

CHANGELOG

3.11.1 (2026-04-07)

MLflow 3.11.1 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...

    Description has been truncated

Bumps the pip group with 1 update in the /EdgeFieldDay2025/edge-ai-car-classification/sync-sidecar directory: [requests](https://github.com/psf/requests).
Bumps the pip group with 2 updates in the /edgeai/efficientnet-b3-stanford-cars/mlruns/387138003911017072/models/m-5af6dec84a924fdda55144b9ef86abdd/artifacts directory: [mlflow](https://github.com/mlflow/mlflow) and [onnx](https://github.com/onnx/onnx).
Bumps the pip group with 2 updates in the /edgeai/efficientnet-b3-stanford-cars/mlruns/387138003911017072/models/m-5efb4eab983947ca98b18aadd7d74183/artifacts directory: [mlflow](https://github.com/mlflow/mlflow) and [onnx](https://github.com/onnx/onnx).
Bumps the pip group with 2 updates in the /edgeai/efficientnet-b5-stanford-cars/mlruns/505550186997757802/models/m-dcb6682ff42b407a9e297fe345ca5355/artifacts directory: [mlflow](https://github.com/mlflow/mlflow) and [onnx](https://github.com/onnx/onnx).


Updates `requests` from 2.32.4 to 2.33.0
- [Release notes](https://github.com/psf/requests/releases)
- [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md)
- [Commits](psf/requests@v2.32.4...v2.33.0)

Updates `requests` from 2.32.4 to 2.33.0
- [Release notes](https://github.com/psf/requests/releases)
- [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md)
- [Commits](psf/requests@v2.32.4...v2.33.0)

Updates `mlflow` from 3.5.0rc0 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@v3.5.0rc0...v3.11.0rc1)

Updates `onnx` from 1.19.0 to 1.21.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.19.0...v1.21.0)

Updates `mlflow` from 3.5.0rc0 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@v3.5.0rc0...v3.11.0rc1)

Updates `onnx` from 1.19.0 to 1.21.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.19.0...v1.21.0)

Updates `mlflow` from 3.5.0rc0 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@v3.5.0rc0...v3.11.0rc1)

Updates `onnx` from 1.19.0 to 1.21.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.19.0...v1.21.0)

Updates `mlflow` from 3.5.0rc0 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@v3.5.0rc0...v3.11.0rc1)

Updates `onnx` from 1.19.0 to 1.21.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.19.0...v1.21.0)

Updates `mlflow` from 3.5.0rc0 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@v3.5.0rc0...v3.11.0rc1)

Updates `onnx` from 1.19.0 to 1.21.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.19.0...v1.21.0)

Updates `mlflow` from 3.5.0rc0 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@v3.5.0rc0...v3.11.0rc1)

Updates `onnx` from 1.19.0 to 1.21.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.19.0...v1.21.0)

Updates `mlflow` from 3.5.0rc0 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@v3.5.0rc0...v3.11.0rc1)

Updates `onnx` from 1.19.0 to 1.21.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.19.0...v1.21.0)

Updates `mlflow` from 3.5.0rc0 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@v3.5.0rc0...v3.11.0rc1)

Updates `onnx` from 1.19.0 to 1.21.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.19.0...v1.21.0)

Updates `mlflow` from 3.5.0rc0 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@v3.5.0rc0...v3.11.0rc1)

Updates `onnx` from 1.19.0 to 1.21.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.19.0...v1.21.0)

---
updated-dependencies:
- dependency-name: requests
  dependency-version: 2.33.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: requests
  dependency-version: 2.33.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: mlflow
  dependency-version: 3.11.0rc1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.21.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: mlflow
  dependency-version: 3.11.0rc1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.21.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: mlflow
  dependency-version: 3.11.0rc1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.21.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: mlflow
  dependency-version: 3.11.0rc1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.21.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: mlflow
  dependency-version: 3.11.0rc1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.21.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: mlflow
  dependency-version: 3.11.0rc1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.21.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: mlflow
  dependency-version: 3.11.0rc1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.21.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: mlflow
  dependency-version: 3.11.0rc1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.21.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: mlflow
  dependency-version: 3.11.0rc1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.21.0
  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 Apr 8, 2026
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