mirror of
https://github.com/tiennm99/litellm.git
synced 2026-06-18 07:33:58 +00:00
Chesars
f82ba6ca6b
- streaming_iterator.py: adopted main's more defensive version of the tool-arg queueing check (.get() instead of [], isinstance guard) — same logic, same behavior, lower crash surface - model_prices_and_context_window.json + backup: combined staging's search_context_cost_per_query fields (PR #24372) with main's new supports_service_tier field — both are independent additions to the same Gemini model entries - test_streaming_handler.py: kept Azure streaming regression test (PR #24354) and added main's two new Gemini legacy vertex finish_reason normalization tests - test_gemini_batch_embeddings.py: kept staging's unsupported-params filtering tests (PR #24370) and added main's index/order test
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