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litellm/.github/workflows
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yuneng-jiang 202b5b29de Add daily internal dev branch creation job 
Adds a new job to the existing daily staging branch workflow that creates
a `litellm_internal_dev_MM_DD_YYYY` branch from main twice a day. This
branch serves as a staging area before merging into main to improve
stability.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-11 15:53:42 -07:00
..
auto_update_price_and_context_window_file.py
auto_update_price_and_context_window.yml
check_duplicate_issues.yml
codeql.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_enterprise.yml
publish_proxy_extras.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
run_observatory_tests.yml
scan_duplicate_issues.yml
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
test-proxy-e2e-azure-batches.yml
update_release.py

README.md

Simple PyPI Publishing

A GitHub workflow to manually publish LiteLLM packages to PyPI with a specified version.

How to Use

  1. Go to the Actions tab in the GitHub repository
  2. Select Simple PyPI Publish from the workflow list
  3. Click Run workflow
  4. Enter the version to publish (e.g., 1.74.10)

What the Workflow Does

  1. Updates the version in pyproject.toml
  2. Copies the model prices backup file
  3. Builds the Python package
  4. 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