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security(deps): bump the training-dependencies group in /training/rl with 7 updates#408

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Apr 9, 2026
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security(deps): bump the training-dependencies group in /training/rl with 7 updates#408
WilliamBerryiii merged 2 commits into
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dependabot/pip/training/rl/training-dependencies-ecf59d821e

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@dependabot dependabot Bot commented on behalf of github Apr 7, 2026

Bumps the training-dependencies group in /training/rl with 7 updates:

Package From To
marshmallow 4.2.3 4.3.0
mlflow 3.10.1 3.11.1
azure-monitor-opentelemetry-exporter 1.0.0b50 1.0.0b51
cuda-pathfinder 1.5.1 1.5.2
mlflow-skinny 3.10.1 3.11.1
mlflow-tracing 3.10.1 3.11.1
uvicorn 0.43.0 0.44.0

Updates marshmallow from 4.2.3 to 4.3.0

Changelog

Sourced from marshmallow's changelog.

4.3.0 (2026-04-03)

Features:

  • Add pre_load and post_load parameters to marshmallow.fields.Field for field-level pre- and post-processing (:issue:2787).
  • Typing: improvements to marshmallow.validate (:pr:2940).

4.2.4 (2026-04-02)

Bug fixes:

  • marshmallow.validate.URL and marshmallow.validate.Email accept Internationalized Domain Names (IDNs) (:issue:2821, :issue:2936). marshmallow.validate.Email also correctly rejects IDN domains with leading/trailing hyphens. Thanks :user:touhidurrr for the report.
  • Typing: Fix typing of nested in marshmallow.fields.Nested (:pr:2935).
Commits

Updates mlflow from 3.10.1 to 3.11.1

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 azure-monitor-opentelemetry-exporter from 1.0.0b50 to 1.0.0b51

Release notes

Sourced from azure-monitor-opentelemetry-exporter's releases.

azure-monitor-opentelemetry-exporter_1.0.0b51

1.0.0b51 (2026-04-07)

Bugs Fixed

  • Added credential authentication support for customer sdkstats (#46143)
Commits
  • fc2b705 Exporter release 1.0.0b51 (#46155)
  • 83a443d Added credential authentication support for customer sdkstats (#46143)
  • ce4549d Increment package version after release of azure-monitor-opentelemetry-export...
  • See full diff in compare view

Updates cuda-pathfinder from 1.5.1 to 1.5.2

Release notes

Sourced from cuda-pathfinder's releases.

cuda-pathfinder v1.5.2

Release notes

Documentation

PyPI

Conda

Commits
  • 1696fcf docs(pathfinder): prepare 1.5.2 release notes (#1867)
  • b57a674 Update context7.json (#1864)
  • ac34454 [FEA]: Add support for pathfinder.find_nvidia_header_directory("profiler") ...
  • 5ae423f [FEA]: Add pathfinder cudla support (.so, .h) (#1855)
  • c6aea12 Publish the graph API as cuda.core.graph (#1858)
  • c2f79a1 Graph node follow-ups: repr, containment, empty(), registry docs (#1859)
  • 5064470 Add GraphNode identity cache for stable object round-trips (#1853)
  • 5777275 Add edge mutation and MutableSet interface for graph nodes (#1850)
  • See full diff in compare view

Updates mlflow-skinny from 3.10.1 to 3.11.1

Release notes

Sourced from mlflow-skinny'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-skinny'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 mlflow-tracing from 3.10.1 to 3.11.1

Release notes

Sourced from mlflow-tracing'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-tracing'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:

  • [Tracking] Update Databricks API calls to use new gRPC APIs instead of py4j APIs (#22205, @​WeichenXu123)
  • [Evaluation] Extend _get_provider_instance with groq, deepseek, xai, openrouter, ollama, databricks, vertex_ai (#22148, @​kriscon-db)
  • [UI] Move native providers to non-LiteLLM in gateway UI (#22203, @​TomeHirata)
  • [Tracing / Tracking] Add trace_location parameter to create_experiment (#22075, @​dbrx-euirim)
  • [Gateway] Complete Bedrock provider with Converse API support (#21999, @​TomeHirata)
  • [Gateway] Add native Vertex AI gateway provider (#21998, @​TomeHirata)
  • [Gateway] Add native Databricks gateway provider (#21997, @​TomeHirata)
  • [Gateway] Add native Ollama gateway provider (#21995, @​TomeHirata)
  • [Gateway] Add native xAI (Grok) gateway provider (#21993, @​TomeHirata)
  • [Tracing] Use bulk upsert in log_spans() to eliminate per-span ORM overhead (#21954, @​harupy)
  • [Tracing] Add builtin cost_per_token to remove litellm dependency for cost tracking (#22046, @​TomeHirata)
  • [Evaluation] Remove LiteLLM hard dependency from the discovery pipeline and judge adapters (#21739, @​harupy)
  • [Evaluation] Add pipelined predict-score execution for mlflow.genai.evaluate (#20940, @​alkispoly-db)
  • [Tracing / Tracking] Default trace location table_prefix to experiment ID in set_experiment (#21815, @​danielseong1)
  • [Tracking] Add default uvicorn log config with timestamps (#21838, @​harupy)
  • [Tracing / UI] Add Session ID filter to GenAI traces table filter dropdown (#21794, @​daniellok-db)
  • [Evaluation / UI] Add Default Credential Chain auth mode for Bedrock/SageMaker in AI Gateway (#21061, @​timsolovev)
  • [UI] Add multi metric bar chart support (#21258, @​RenzoMXD)
  • [Tracking] Add TCP keepalive to HTTP sessions to detect stale connections and reduce timeout han...

    Description has been truncated

Bumps the training-dependencies group in /training/rl with 7 updates:

| Package | From | To |
| --- | --- | --- |
| [marshmallow](https://github.com/marshmallow-code/marshmallow) | `4.2.3` | `4.3.0` |
| [mlflow](https://github.com/mlflow/mlflow) | `3.10.1` | `3.11.1` |
| [azure-monitor-opentelemetry-exporter](https://github.com/Azure/azure-sdk-for-python) | `1.0.0b50` | `1.0.0b51` |
| [cuda-pathfinder](https://github.com/NVIDIA/cuda-python) | `1.5.1` | `1.5.2` |
| [mlflow-skinny](https://github.com/mlflow/mlflow) | `3.10.1` | `3.11.1` |
| [mlflow-tracing](https://github.com/mlflow/mlflow) | `3.10.1` | `3.11.1` |
| [uvicorn](https://github.com/Kludex/uvicorn) | `0.43.0` | `0.44.0` |


Updates `marshmallow` from 4.2.3 to 4.3.0
- [Changelog](https://github.com/marshmallow-code/marshmallow/blob/dev/CHANGELOG.rst)
- [Commits](marshmallow-code/marshmallow@4.2.3...4.3.0)

Updates `mlflow` from 3.10.1 to 3.11.1
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](https://github.com/mlflow/mlflow/commits)

Updates `azure-monitor-opentelemetry-exporter` from 1.0.0b50 to 1.0.0b51
- [Release notes](https://github.com/Azure/azure-sdk-for-python/releases)
- [Commits](Azure/azure-sdk-for-python@azure-monitor-opentelemetry-exporter_1.0.0b50...azure-monitor-opentelemetry-exporter_1.0.0b51)

Updates `cuda-pathfinder` from 1.5.1 to 1.5.2
- [Release notes](https://github.com/NVIDIA/cuda-python/releases)
- [Commits](NVIDIA/cuda-python@cuda-pathfinder-v1.5.1...cuda-pathfinder-v1.5.2)

Updates `mlflow-skinny` from 3.10.1 to 3.11.1
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](https://github.com/mlflow/mlflow/commits)

Updates `mlflow-tracing` from 3.10.1 to 3.11.1
- [Release notes](https://github.com/mlflow/mlflow/releases)
- [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md)
- [Commits](https://github.com/mlflow/mlflow/commits)

Updates `uvicorn` from 0.43.0 to 0.44.0
- [Release notes](https://github.com/Kludex/uvicorn/releases)
- [Changelog](https://github.com/Kludex/uvicorn/blob/main/docs/release-notes.md)
- [Commits](Kludex/uvicorn@0.43.0...0.44.0)

---
updated-dependencies:
- dependency-name: marshmallow
  dependency-version: 4.3.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: training-dependencies
- dependency-name: mlflow
  dependency-version: 3.11.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: training-dependencies
- dependency-name: azure-monitor-opentelemetry-exporter
  dependency-version: 1.0.0b51
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: training-dependencies
- dependency-name: cuda-pathfinder
  dependency-version: 1.5.2
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: training-dependencies
- dependency-name: mlflow-skinny
  dependency-version: 3.11.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: training-dependencies
- dependency-name: mlflow-tracing
  dependency-version: 3.11.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: training-dependencies
- dependency-name: uvicorn
  dependency-version: 0.44.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: training-dependencies
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Dependency version updates python Pull requests that update python code training labels Apr 7, 2026
@github-actions github-actions Bot changed the title chore(deps): bump the training-dependencies group in /training/rl with 7 updates security(deps): bump the training-dependencies group in /training/rl with 7 updates Apr 7, 2026
@github-actions
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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
  • ⚠️ 7 package(s) with unknown licenses.
See the Details below.

Snapshot Warnings

⚠️: No snapshots were found for the head SHA b0d31a7.
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

training/rl/pyproject.toml

PackageVersionLicenseIssue Type
marshmallow4.3.0NullUnknown License
mlflow3.11.1NullUnknown License

training/rl/requirements.txt

PackageVersionLicenseIssue Type
cuda-pathfinder1.5.2NullUnknown License
mlflow3.11.1NullUnknown License
mlflow-skinny3.11.1NullUnknown License
mlflow-tracing3.11.1NullUnknown License
uvicorn0.44.0NullUnknown License

OpenSSF Scorecard

PackageVersionScoreDetails
pip/marshmallow 4.3.0 UnknownUnknown
pip/mlflow 3.11.1 UnknownUnknown
pip/azure-monitor-opentelemetry-exporter 1.0.0b51 🟢 6.7
Details
CheckScoreReason
Code-Review🟢 10all changesets reviewed
Maintained🟢 1030 commit(s) and 19 issue activity found in the last 90 days -- score normalized to 10
Packaging⚠️ -1packaging workflow not detected
CII-Best-Practices🟢 5badge detected: Passing
Dangerous-Workflow🟢 10no dangerous workflow patterns detected
Security-Policy🟢 10security policy file detected
Token-Permissions⚠️ 0detected GitHub workflow tokens with excessive permissions
License🟢 10license file detected
Signed-Releases⚠️ -1no releases found
Branch-Protection🟢 5branch protection is not maximal on development and all release branches
Binary-Artifacts🟢 8binaries present in source code
SAST⚠️ 0SAST tool is not run on all commits -- score normalized to 0
Pinned-Dependencies⚠️ 0dependency not pinned by hash detected -- score normalized to 0
Fuzzing🟢 10project is fuzzed
pip/cuda-pathfinder 1.5.2 UnknownUnknown
pip/mlflow 3.11.1 UnknownUnknown
pip/mlflow-skinny 3.11.1 UnknownUnknown
pip/mlflow-tracing 3.11.1 UnknownUnknown
pip/uvicorn 0.44.0 UnknownUnknown

Scanned Files

  • training/rl/pyproject.toml
  • training/rl/requirements.txt

@codecov-commenter
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codecov-commenter commented Apr 7, 2026

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 64.41%. Comparing base (0d62983) to head (b0d31a7).

Additional details and impacted files
@@           Coverage Diff           @@
##             main     #408   +/-   ##
=======================================
  Coverage   64.41%   64.41%           
=======================================
  Files         251      251           
  Lines       15435    15435           
  Branches     2060     2060           
=======================================
  Hits         9942     9942           
  Misses       5205     5205           
  Partials      288      288           
Flag Coverage Δ
pester 82.24% <ø> (ø)
pytest 92.40% <ø> (ø)
pytest-dataviewer 63.87% <ø> (ø)
pytest-fuzz 1.59% <ø> (ø)
vitest 50.80% <ø> (ø)
🚀 New features to boost your workflow:
  • 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

jjottar pushed a commit to jjottar/physical-ai-toolchain that referenced this pull request Apr 9, 2026
🤖 I have created a release *beep* *boop*
---


##
[0.5.0](microsoft/physical-ai-toolchain@v0.4.0...v0.5.0)
(2026-03-26)


### ✨ Features

* add dataviewer web application for dataset analysis and annotation
([microsoft#375](microsoft#375))
([c44d7bb](microsoft@c44d7bb))
* add return type annotations to cli_args functions
([microsoft#476](microsoft#476))
([35523ee](microsoft@35523ee))
* add YAML config schema with pydantic validation for ROS 2 recording
([microsoft#376](microsoft#376))
([1fa5243](microsoft@1fa5243))
* **agents:** Copilot agents and skills for dataviewer and OSMO training
workflows.
([microsoft#444](microsoft#444))
([8b72daf](microsoft@8b72daf))
* **build:** add automated ms.date freshness checking
([microsoft#448](microsoft#448))
([f92ddbc](microsoft@f92ddbc))
* **build:** add CLA section, Dependabot security prefix, and OWASP ZAP
DAST scan
([microsoft#241](microsoft#241))
([083a8af](microsoft@083a8af))
* **build:** add coverage.py configuration to pyproject.toml
([microsoft#428](microsoft#428))
([eac7426](microsoft@eac7426))
* **build:** add Go CI pipeline with golangci-lint and go test
([microsoft#351](microsoft#351))
([b27e4fb](microsoft@b27e4fb))
* **build:** add OpenSSF Scorecard workflow and badge
([microsoft#431](microsoft#431))
([98a62e7](microsoft@98a62e7))
* **build:** add release artifact signing and SBOM attestation
([microsoft#480](microsoft#480))
([b226e96](microsoft@b226e96))
* **build:** add TFLint reusable GitHub Actions workflow
([microsoft#229](microsoft#229))
([34d5575](microsoft@34d5575))
* **build:** split Go CI into separate lint and test pipelines
([microsoft#354](microsoft#354))
([2dec155](microsoft@2dec155))
* **dataviewer:** add authentication middleware and CSRF protection for
mutation endpoints
([microsoft#432](microsoft#432))
([77c8a01](microsoft@77c8a01))
* **docs:** create training documentation hub with guides and migration
([microsoft#380](microsoft#380))
([0fdccc5](microsoft@0fdccc5))
* **docs:** port Docusaurus documentation site with full build
validation
([microsoft#182](microsoft#182))
([29dd640](microsoft@29dd640))
* fix and deploy dataviewer
([microsoft#498](microsoft#498))
([c922d49](microsoft@c922d49))
* **inference:** add AzureML and local LeRobot inference workflows
([microsoft#438](microsoft#438))
([f7d786a](microsoft@f7d786a))
* **inference:** add MLflow trajectory plots and multi-source support to
OSMO inference workflow
([microsoft#421](microsoft#421))
([8637458](microsoft@8637458))
* **infra:** add blob storage lifecycle policies and folder structure
([microsoft#179](microsoft#179))
([101a6e8](microsoft@101a6e8))
* **infrastructure:** add optional observability and compute feature
flags
([microsoft#437](microsoft#437))
([9eba0da](microsoft@9eba0da))
* **infrastructure:** add private Linux Isaac Sim VM deployment option
([microsoft#348](microsoft#348))
([3748c2d](microsoft@3748c2d))
* **infrastructure:** add terraform-docs auto-generation pipeline
([microsoft#358](microsoft#358))
([6565caa](microsoft@6565caa))
* **infrastructure:** harden Isaac Sim VM deployment with encryption and
spot options
([microsoft#355](microsoft#355))
([6ebc1f2](microsoft@6ebc1f2))
* **repo:** migrate to domain-driven architecture
([microsoft#270](microsoft#270))
([a339e70](microsoft@a339e70))
* **scripts:** add --config-preview and deployment summary to submission
scripts
([microsoft#499](microsoft#499))
([4069806](microsoft@4069806))
* **scripts:** add Copilot attribution footer validation to frontmatter
linting
([microsoft#378](microsoft#378))
([4d595f2](microsoft@4d595f2))
* **src:** add dataviewer web application with storage adapter layer
([microsoft#404](microsoft#404))
([8a9fb70](microsoft@8a9fb70))


### 🐛 Bug Fixes

* **build:** add GHSA to cspell custom dictionary
([microsoft#315](microsoft#315))
([67db81a](microsoft@67db81a))
* **build:** correct codecov report_type input for terraform test
uploads
([microsoft#324](microsoft#324))
([d90d66d](microsoft@d90d66d))
* **build:** expand CODEOWNERS coverage to critical paths
([microsoft#505](microsoft#505))
([bafade1](microsoft@bafade1))
* **build:** pin Docker base image and pip dependencies with Dependabot
coverage
([microsoft#497](microsoft#497))
([d3d7ea4](microsoft@d3d7ea4))
* **build:** pin pydantic version and use uv in config schema validation
workflow
([microsoft#493](microsoft#493))
([28d823f](microsoft@28d823f))
* **build:** pin uv installer to versioned URL
([microsoft#495](microsoft#495))
([8d8541b](microsoft@8d8541b))
* **build:** remediate GHSA vulnerabilities flagged by OSSF Scorecard
([microsoft#271](microsoft#271))
([49b6e58](microsoft@49b6e58))
* **build:** remove README frontmatter, add FrontmatterExcludePaths,
enforce Pester 5
([microsoft#443](microsoft#443))
([641d0f3](microsoft@641d0f3))
* **build:** resolve CI failures for release 0.5.0 PR
([microsoft#174](microsoft#174))
([62c9900](microsoft@62c9900))
* **build:** resolve codecov PR comment suppression
([microsoft#523](microsoft#523))
([5603bd7](microsoft@5603bd7))
* **build:** use npm ci for deterministic frontend dependency install
([microsoft#491](microsoft#491))
([ee8b5d3](microsoft@ee8b5d3)),
closes
[microsoft#490](microsoft#490)
* **ci:** add `wait_for_ci` to Codecov configuration
([microsoft#183](microsoft#183))
([370cf44](microsoft@370cf44))
* **CI:** Issue 116 clean up dataviewer tests
([microsoft#184](microsoft#184))
([f466c23](microsoft@f466c23))
* **ci:** pin pydantic to ==2.12.5 across all references
([microsoft#230](microsoft#230))
([9d841d5](microsoft@9d841d5))
* **dataviewer:** add HTTP Range support for blob video streaming
([microsoft#165](microsoft#165))
([8adde50](microsoft@8adde50))
* **dataviewer:** remediate CodeQL alerts and align ruff config
([microsoft#419](microsoft#419))
([eb6fac9](microsoft@eb6fac9))
* **dataviewer:** remediate path traversal and input validation
vulnerabilities
([microsoft#413](microsoft#413))
([0a1d2ca](microsoft@0a1d2ca))
* **docs:** remove trailingSlash: false for GitHub Pages compatibility
([microsoft#228](microsoft#228))
([a78cb97](microsoft@a78cb97))
* **gpu:** add GPU Operator validation dependencies to GRID driver
installer
([microsoft#441](microsoft#441))
([eec42da](microsoft@eec42da))
* **infrastructure:** add zone-redundant config to VPN gateway public IP
([microsoft#352](microsoft#352))
([2d734f4](microsoft@2d734f4))
* **infrastructure:** improve stdout handling for helm commands in GPU…
([microsoft#311](microsoft#311))
([153f467](microsoft@153f467))
* **infrastructure:** resolve remaining TFLint violations in SIL module
and example configs
([microsoft#298](microsoft#298))
([c0ce3e5](microsoft@c0ce3e5))
* **infrastructure:** resolve TFLint violations in root and automation
modules
([microsoft#287](microsoft#287))
([b6a4604](microsoft@b6a4604)),
closes
[microsoft#203](microsoft#203)
* **infrastructure:** update deprecated bgp vng variable name
([microsoft#307](microsoft#307))
([f530734](microsoft@f530734))
* **scripts:** pin uv version in OSMO workflow templates
([microsoft#500](microsoft#500))
([7edf13a](microsoft@7edf13a))
* **scripts:** replace lambda with def in lerobot_handler to satisfy R…
([microsoft#176](microsoft#176))
([baf9e58](microsoft@baf9e58))
* **scripts:** support OSMO control-plane deploys with in-cluster Redis
([microsoft#317](microsoft#317))
([d4b70de](microsoft@d4b70de))
* **scripts:** update compute target name derivation logic
([microsoft#319](microsoft#319))
([bb20431](microsoft@bb20431))
* **settings:** update devcontainer name to match project context
([microsoft#177](microsoft#177))
([745321e](microsoft@745321e))
* **terraform:** create PostgreSQL Key Vault secret via ARM control
plane
([microsoft#304](microsoft#304))
([5d73b81](microsoft@5d73b81))
* **terraform:** gate observability with feature flags
([microsoft#303](microsoft#303))
([ea5e056](microsoft@ea5e056))
* **terraform:** switch VPN gateway defaults to AZ SKUs
([microsoft#309](microsoft#309))
([74989c5](microsoft@74989c5))
* **training:** correct learning rate mapping and pin LeRobot version
([microsoft#439](microsoft#439))
([5cf9943](microsoft@5cf9943))
* **workflows:** enable SARIF upload for dependency-pinning scans
([microsoft#502](microsoft#502))
([124cad6](microsoft@124cad6)),
closes
[microsoft#501](microsoft#501)
* **workflows:** remove redundant top-level permissions from
codeql-analysis
([microsoft#489](microsoft#489))
([1490fda](microsoft@1490fda))
* **workflows:** use bash shell for uv.lock regeneration and add SARIF
to dictionary
([microsoft#225](microsoft#225))
([e6fa6ea](microsoft@e6fa6ea))


### 📚 Documentation

* add chunking and compression configuration guide for Jetson edge
recording
([microsoft#408](microsoft#408))
([787a322](microsoft@787a322))
* add OpenSSF Best Practices badge to README
([microsoft#282](microsoft#282))
([01ea384](microsoft@01ea384))
* add threat model cross-reference to SECURITY.md
([microsoft#235](microsoft#235))
([88a461e](microsoft@88a461e))
* add vulnerability remediation timeline to SECURITY.md
([microsoft#233](microsoft#233))
([5ead3ee](microsoft@5ead3ee))
* **contributing:** remove version-specific planning language from
ownership tip
([microsoft#407](microsoft#407))
([3191f9b](microsoft@3191f9b))
* **deploy:** replace deploy/ READMEs with pointer files
([microsoft#379](microsoft#379))
([b3c3abb](microsoft@b3c3abb))
* **docs:** add bug report response timeline for OSSF report_responses
criterion
([microsoft#485](microsoft#485))
([9b26212](microsoft@9b26212))
* **docs:** add component update process for OpenSSF Silver badge
([microsoft#446](microsoft#446))
([6adc8a2](microsoft@6adc8a2))
* **docs:** Add data collection and training recipes
([microsoft#343](microsoft#343))
([9c34f86](microsoft@9c34f86))
* **docs:** add deprecation policy for external interfaces
([microsoft#445](microsoft#445))
([229d5db](microsoft@229d5db))
* **docs:** add structure for recipes in repo
([microsoft#322](microsoft#322))
([098757b](microsoft@098757b))
* **docs:** add YAML frontmatter to SUPPORT.md
([microsoft#478](microsoft#478))
([d94c15d](microsoft@d94c15d)),
closes
[microsoft#347](microsoft#347)
* **docs:** clarify issue assignment requirement before starting work
([microsoft#299](microsoft#299))
([1534462](microsoft@1534462))
* **docs:** create inference and training docs hubs
([microsoft#402](microsoft#402))
([7a20a2e](microsoft@7a20a2e))
* **docs:** create reference hub and migrate script documentation
([microsoft#503](microsoft#503))
([03a31c6](microsoft@03a31c6))
* **docs:** create training and inference documentation hubs
([microsoft#403](microsoft#403))
([7be003b](microsoft@7be003b))
* **operations:** create operations hub and troubleshooting guide
([microsoft#525](microsoft#525))
([31c7aaa](microsoft@31c7aaa))
* **reference:** add copilot artifacts documentation hub
([microsoft#170](microsoft#170))
([9a45ca4](microsoft@9a45ca4))
* simplify root README and update prerequisites
([microsoft#440](microsoft#440))
([c0c7710](microsoft@c0c7710))


### ♻️ Code Refactoring

* **build:** align Python dependency workflows with uv
([microsoft#447](microsoft#447))
([3102e03](microsoft@3102e03))
* **docs:** rename Docusaurus site to Physical AI Toolchain
([microsoft#224](microsoft#224))
([cfdf47a](microsoft@cfdf47a))
* **infrastructure:** rename boolean variables to `should_` prefix and
add missing core variables
([microsoft#292](microsoft#292))
([4496593](microsoft@4496593))
* **python:** move runtime deps to workflow pyproject manifests
([microsoft#405](microsoft#405))
([6c5fbeb](microsoft@6c5fbeb))


### 📦 Build System

* **build:** add Codecov upload to pytest workflow
([microsoft#434](microsoft#434))
([0110c17](microsoft@0110c17))
* **deps-dev:** bump the npm_and_yarn group across 2 directories with 1
update
([microsoft#325](microsoft#325))
([59cf9e6](microsoft@59cf9e6))
* **workflows:** enable coverage parameters and fix Pester test
infrastructure
([microsoft#435](microsoft#435))
([528bbde](microsoft@528bbde))


### 🔧 Miscellaneous

* add gomod to cspell general-technical wordlist
([microsoft#362](microsoft#362))
([1f93f47](microsoft@1f93f47))
* **build:** add codecov.yml for unified coverage reporting
([microsoft#430](microsoft#430))
([b0faf70](microsoft@b0faf70))
* **build:** add Go toolchain devcontainer feature and Dependabot gomod
([microsoft#337](microsoft#337))
([8a36620](microsoft@8a36620))
* **deps:** bump cryptography from 45.0.7 to 46.0.5 in /src/training
([microsoft#506](microsoft#506))
([a06434e](microsoft@a06434e))
* **deps:** bump minimatch in /src/dataviewer/frontend
([microsoft#416](microsoft#416))
([38a7607](microsoft@38a7607))
* **deps:** bump pyasn1 from 0.6.2 to 0.6.3 in /training/rl
([microsoft#296](microsoft#296))
([7b42cf5](microsoft@7b42cf5))
* **deps:** bump rollup in /src/dataviewer/frontend
([microsoft#417](microsoft#417))
([6302ce4](microsoft@6302ce4))
* **deps:** bump the common-dependencies group in /src/common with 3
updates
([microsoft#507](microsoft#507))
([db05074](microsoft@db05074))
* **deps:** bump the github-actions group across 1 directory with 6
updates
([microsoft#284](microsoft#284))
([c40eff6](microsoft@c40eff6))
* **deps:** bump the github-actions group across 1 directory with 6
updates
([microsoft#433](microsoft#433))
([2d9dd4f](microsoft@2d9dd4f))
* **deps:** bump the github-actions group across 1 directory with 6
updates
([microsoft#510](microsoft#510))
([c334a64](microsoft@c334a64))
* **deps:** bump the github-actions group with 2 updates
([microsoft#163](microsoft#163))
([f25713e](microsoft@f25713e))
* **deps:** bump the inference-dependencies group in /evaluation with 3
updates
([microsoft#279](microsoft#279))
([1d2d3dc](microsoft@1d2d3dc))
* **deps:** bump the inference-dependencies group in /src/inference with
5 updates
([microsoft#508](microsoft#508))
([2852ffb](microsoft@2852ffb))
* **deps:** bump the lerobot-inference-dependencies group in
/workflows/azureml with 4 updates
([microsoft#511](microsoft#511))
([b7c5773](microsoft@b7c5773))
* **deps:** bump the npm_and_yarn group across 2 directories with 1
update
([microsoft#223](microsoft#223))
([6a261ab](microsoft@6a261ab))
* **deps:** bump the training-dependencies group
([microsoft#429](microsoft#429))
([66e43f4](microsoft@66e43f4))
* **deps:** bump tornado from 6.5.4 to 6.5.5 in the uv group across 1
directory
([microsoft#172](microsoft#172))
([d6caf29](microsoft@d6caf29))
* **docs:** correct ms.date tooling and refresh stale documentation
([microsoft#349](microsoft#349))
([ccaa1e8](microsoft@ccaa1e8))
* **infrastructure:** add Go module and golangci-lint config for e2e
tests
([microsoft#347](microsoft#347))
([e0e6bbf](microsoft@e0e6bbf))
* **infrastructure:** add root .terraform-docs.yml configuration
([microsoft#312](microsoft#312))
([bb73bbb](microsoft@bb73bbb))
* migrate references from Azure-Samples to
microsoft/physical-ai-toolchain
([f58f0ef](microsoft@f58f0ef))
* **workflows:** update Dependabot, CodeQL, CODEOWNERS, and cspell for
dataviewer coverage
([microsoft#231](microsoft#231))
([6d8c2e8](microsoft@6d8c2e8))


### 🔒 Security

* **deps:** bump mlflow from 3.5.0 to 3.8.0rc0 in /training/rl
([microsoft#297](microsoft#297))
([e9929df](microsoft@e9929df))
* **deps:** bump the github-actions group across 1 directory with 4
updates
([microsoft#344](microsoft#344))
([6826929](microsoft@6826929))
* **deps:** bump the inference-dependencies group in /evaluation with 2
updates
([microsoft#339](microsoft#339))
([6804630](microsoft@6804630))
* **deps:** bump the npm_and_yarn group across 3 directories with 1
update
([microsoft#361](microsoft#361))
([6760857](microsoft@6760857))
* **deps:** bump the training-dependencies group across 1 directory with
54 updates
([microsoft#286](microsoft#286))
([d9ae04f](microsoft@d9ae04f))
* **deps:** bump the uv group across 3 directories with 1 update
([microsoft#360](microsoft#360))
([dfbda06](microsoft@dfbda06))

---
This PR was generated with [Release
Please](https://github.com/googleapis/release-please). See
[documentation](https://github.com/googleapis/release-please#release-please).

---------

Co-authored-by: physical-ai-toolchain-release[bot] <267194360+physical-ai-toolchain-release[bot]@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Bill Berry <wbery@microsoft.com>
@WilliamBerryiii WilliamBerryiii merged commit 7d980eb into main Apr 9, 2026
32 checks passed
@WilliamBerryiii WilliamBerryiii deleted the dependabot/pip/training/rl/training-dependencies-ecf59d821e branch April 9, 2026 23:53
WilliamBerryiii pushed a commit that referenced this pull request Apr 10, 2026
🤖 I have created a release *beep* *boop*
---


##
[0.7.3](v0.7.2...v0.7.3)
(2026-04-09)


### 🔒 Security

* **deps:** bump the training-dependencies group in /training/rl with 7
updates
([#408](#408))
([7d980eb](7d980eb))

---
This PR was generated with [Release
Please](https://github.com/googleapis/release-please). See
[documentation](https://github.com/googleapis/release-please#release-please).

---------

Co-authored-by: physical-ai-toolchain-release[bot] <267194360+physical-ai-toolchain-release[bot]@users.noreply.github.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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