Download bundle/README.md from earakely-scale/LibreCADComputerEnv-REA: direct link, hf CLI and curl.
- Browser
- Download file 2.02 kB
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https://huggingface.co/datasets/earakely-scale/LibreCADComputerEnv-REA/resolve/main/bundle/README.md
- Command line
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hf download hf://datasets/earakely-scale/LibreCADComputerEnv-REA/bundle/README.md
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curl -L -o README.md https://huggingface.co/datasets/earakely-scale/LibreCADComputerEnv-REA/resolve/main/bundle/README.md
LibreCAD computer app
Exported by REA's export-desktop-application from a capture of the librecad package
(capture Evidence ev_6da77e96c478fb46bed2c9160b524d44d89f7de57d2ac758feed45feb5482405). It was checked against agentenv-framework
0.9.1431.
envs/librecad/is a computer app on theubuntu-24.04base with thereferencedriver, foramd64andarm64. It installslibrecadfrom the distribution archive, launchessh -c exec 'librecad' "$HOME"/'Documents/plate.dxf'at boot and is ready when a window of classLibreCADappears.- Owned paths:
~/.config/LibreCAD,~/.local/share/LibreCAD,~/Documents.data/getreturns their files and a typed JSON view of each;data/resetrestores the seed. - Seed: 3 file(s) from the user's home before the capture, with the captured home path respelled in text files.
tasks/smoke.jsondeploys the app.
Run the task with agent-env run <this folder>, or only the deploy with --task smoke.
The seed is synthetic test data made for this showcase; it holds no one's real files.
Task add-holes
tasks/add-holes.json deploys the app, has the agent work through the computer from the prompt below, and grades
the outcome with artifacts/add-holes-check/verify.py, which reads the app's data/get views and needs
no model. evals/librecad.toml names it, so a run of the bundle runs it.
Add four more mounting holes to the plate drawing in LibreCAD and save it.
Checks, each of which must pass:
nine-circles:{"kind":"line_count","file":"Documents/plate.dxf","exact":"CIRCLE","equals":9}
REA kept the task because its checks fail on the seed (nine-circles) and all
pass on the captured end state.
To measure a solve rate, run the task k times (3 by default) with the agent and model to measure, and count the runs
whose summary line says passed; a run that says failed did not finish and is run again rather than counted:
agent-env run <this folder> --task add-holes --agent claude-code --model MODEL