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Project description

AutoArena

AutoArena helps you stack rank LLM outputs against one another using automated judge evaluation. Run with:

python3 -m autoarena

Data is stored in an autoarena.duckdb file on your local machine.

Development

To set up this repository for development, run:

poetry update && poetry install
poerty run pre-commit install
poetry run python3 -m autoarena

To run AutoArena for development, you will need to run both the backend and frontend service:

  • Backend: poetry run python3 -m autoarena --dev (the --dev/-d flag enables automatic service reloading when source files change)
  • Frontend: see ui/README.md

To build a release tarball in the ./dist directory:

./scripts/build.sh

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autoarena-0.1.0b3.tar.gz (1.1 MB view hashes)

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