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tp — non-invasive CLI testing framework for AI workflows. Submits results to trapstreet.run.

Project description

trap

CI PyPI Python License: MIT

Non-invasive CLI testing framework for AI prompts, agents, and workflows.

trap treats any solution as a black box — it invokes it as a subprocess, captures outputs, then optionally scores them through a language-agnostic judge and grader. The solution doesn't need to import trap or know it exists.

Install

# requires uv — https://docs.astral.sh/uv/getting-started/installation/

# from PyPI
uv tool install trap-cli

# from git (latest main)
uv tool install "git+https://github.com/trapstreet/trap.git"

The command is tp.

How it works

trap runs your solution as a subprocess with one env var (TRAP_MANIFEST — an input dir and an output dir), captures what it writes, then optionally scores it through a judge (per case) and a grader (overall). See the full flow and IO contract.

Two roles, two directories, one IO contract:

  • Solution author — writes trap.yaml and the solution code
  • Task author — writes traptask.yaml, inputs/, expected/, and optional judge/grader scripts

Quick start

# from examples/echo/solution/
tp run           # run all cases
tp run -t smoke  # run only cases tagged `smoke`

Documentation

License

MIT

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