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When secrets.GH_TOKEN is not configured, the workflow fails immediately with: "Input required and not supplied: token" Using || github.token ensures a valid token is always available. GH_TOKEN (PAT) is preferred when set; github.token is used as fallback. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
||
|---|---|---|
| .. | ||
| auto_update_price_and_context_window_file.py | ||
| auto_update_price_and_context_window.yml | ||
| check_duplicate_issues.yml | ||
| create_daily_staging_branch.yml | ||
| ghcr_deploy.yml | ||
| ghcr_helm_deploy.yml | ||
| helm_unit_test.yml | ||
| interpret_load_test.py | ||
| issue-keyword-labeler.yml | ||
| label-component.yml | ||
| llm-translation-testing.yml | ||
| load_test.yml | ||
| locustfile.py | ||
| main.yml | ||
| publish-migrations.yml | ||
| read_pyproject_version.yml | ||
| README.md | ||
| redeploy_proxy.py | ||
| regenerate-poetry-lock.yml | ||
| reset_stable.yml | ||
| results_stats.csv | ||
| run_llm_translation_tests.py | ||
| simple_pypi_publish.yml | ||
| stale.yml | ||
| test_server_root_path.yml | ||
| test-linting.yml | ||
| test-litellm-matrix.yml | ||
| test-litellm-ui-build.yml | ||
| test-litellm.yml | ||
| test-mcp.yml | ||
| test-model-map.yaml | ||
| update_release.py | ||
Simple PyPI Publishing
A GitHub workflow to manually publish LiteLLM packages to PyPI with a specified version.
How to Use
- Go to the Actions tab in the GitHub repository
- Select Simple PyPI Publish from the workflow list
- Click Run workflow
- Enter the version to publish (e.g.,
1.74.10)
What the Workflow Does
- Updates the version in
pyproject.toml - Copies the model prices backup file
- Builds the Python package
- Publishes to PyPI
Prerequisites
Make sure the following secret is configured in the repository:
PYPI_PUBLISH_PASSWORD: PyPI API token for authentication
Example Usage
- Version:
1.74.11→ Publishes as v1.74.11 - Version:
1.74.10-hotfix1→ Publishes as v1.74.10-hotfix1
Features
- ✅ Manual trigger with version input
- ✅ Automatic version updates in
pyproject.toml - ✅ Repository safety check (only runs on official repo)
- ✅ Clean package building and publishing
- ✅ Success confirmation with PyPI package link