djai 0.1.0

Utilities for working with Django-based AI integrations.

djai

Utilities for building Django-based AI integrations.

Development

Create a virtual environment and install the project in editable mode with its development dependencies:

python -m venv .venv
source .venv/bin/activate
pip install --upgrade pip
pip install -e ".[dev]"

Run linters and tests locally:

ruff check .
pytest

Continuous Integration

GitHub Actions runs linting (ruff) and tests (pytest) on pushes and pull requests targeting main. The workflow lives in .github/workflows/ci.yml.

Publishing to PyPI

Releasing is handled by .github/workflows/deploy.yml. Trigger the Publish workflow manually from GitHub and provide the version you intend to release. Before the workflow runs, ensure:

• pyproject.toml has been updated with the desired version.
• A PyPI API token is stored in the repository secrets as PYPI_API_TOKEN.

The workflow builds the package and uploads the artifacts to PyPI using twine.