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github-actions[bot]andJarek Potiuk
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* [main] CI: Upgrade important CI environment * Ignore pydantic-ai's generic OpenAI-compatible provider in vendor drift checks pydantic-ai-slim 2.63.0 adds a provider for any OpenAI-compatible endpoint. It needs a service name at construction and infer_model has no prefix for it, so a common.ai connection can never reach it and it is not a vendor the services page should list. Generated-by: Claude Opus 5 --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Jarek Potiuk <jarek@potiuk.com>
Apache Airflow Mypy Plugins
This package provides Mypy plugins for Apache Airflow to enhance type checking capabilities.
Installation
pip install apache-airflow-mypy
Usage
Add the plugins to your mypy.ini or pyproject.toml configuration:
Using mypy.ini
[mypy]
plugins = airflow_mypy.plugins.decorators, airflow_mypy.plugins.outputs
Using pyproject.toml
[tool.mypy]
plugins = ["airflow_mypy.plugins.decorators", "airflow_mypy.plugins.outputs"]
Available Plugins
decorators Plugin
Provides type checking support for Airflow decorators that modify function signatures.
outputs Plugin
Handles type checking for operator outputs and XComArg types, allowing proper type inference when passing task outputs between tasks.