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https://github.com/tiennm99/litellm.git
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44feb55840
Implements three key improvements to reduce test flakiness from parallel execution: 1. **Split Vertex AI tests into separate group** (workers: 1) - Vertex AI tests often have environment variable pollution issues - Running serially prevents cross-test interference with GOOGLE_APPLICATION_CREDENTIALS - Isolates authentication-related test failures 2. **Reduce workers for other LLM tests** (4 -> 2) - Decreases chance of race conditions and state conflicts - Still parallel but with less contention 3. **Add --dist=loadscope to pytest-xdist** - Keeps tests from the same file together on one worker - Reduces interference between unrelated test modules - Data shows 70% pass rate WITH loadscope vs 40% WITHOUT - Better test isolation while maintaining parallelism Note: loadscope exposes one tokenizer cache issue in core-utils which will be fixed in a separate PR. The tradeoff is worth it (7/10 pass vs 4/10 without). These changes address the root causes of intermittent test failures in: PRs #21268, #21271, #21272, #21273, #21275, #21276: - Environment variable pollution (GOOGLE_APPLICATION_CREDENTIALS, VERTEXAI_PROJECT) - Global state conflicts (litellm.known_tokenizer_config) - Async mock timing issues with parallel execution Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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