agent-regress-npm-cli

Statistical regression testing for LLM agents, from the command line or npx.

This is a thin Node.js wrapper around the agent-regress-cli Python package (its console command is agent-regress; the PyPI distribution is named agent-regress-cli since agent-regress was blocked as too similar to an unrelated existing project) -- the actual statistics (Mann-Whitney U, bootstrap confidence interval, Cohen's d) run in Python, so you need Python installed too:

pip install agent-regress-cli

(uv tool install agent-regress-cli or pipx install agent-regress-cli also work, and this wrapper will fall back to uvx/pipx automatically if the agent-regress command isn't on your PATH.)

Install

npm install -g agent-regress-npm-cli

Or run it without installing:

npx agent-regress-npm-cli --help

Usage

npx agent-regress-npm-cli compare \
  --version-a-results version_a_scores.json \
  --version-b-results version_b_scores.json \
  --metric task_success_rate \
  --json

Each --version-*-results file is a JSON array of per-run scores, e.g. [0.82, 0.79, 0.91]. --json prints a single machine-readable JSON object to stdout (verdict, p-value, Cohen's d, confidence interval) -- built for agents and CI scripts to parse.

Docs

Full documentation, the Python API, and the statistics methodology live in the main repo:

https://github.com/RudrenduPaul/agent-eval