LBI: LLM Batch Inference
Many LLM providers offer 50% token discounts by using batches. This project wraps each provider's batch API in a unified interface.
Running Tests
To run the unit tests:
uv run pytest
To run the integration tests:
uv run pytest -m integration
Use the verbose flag -v to get more detailed output and use the -n flag to run multiple tests in parallel (-n auto runs one test per CPU core in parallel).
Example:
uv run pytest -n auto -v -m integration
You can also run specific tests and fixtures by keyword:
uv run pytest -n auto -v -m integration -k 'full_batch_lifecycle and mistral'
Publishing to PyPI
-
Bump the version in
[pyproject.toml](./pyproject.toml):version = "0.1.2" -
Build the package:
uv build -
Publish package:
uv publish -
Add tag in Git:
git add pyproject.toml git commit -m "Bump version to 0.1.2" git tag v0.1.2 git push origin main --tags
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