earakely-scale's picture
REA computer-use environment, v0.1.0
fa29f75 verified
|
Raw History Blame Contribute Delete
3.41 kB

RedNotebook computer app

Exported by REA's export-desktop-application from a capture of the rednotebook package (capture Evidence ev_19faf9f2f91a4f5b5480001053401e2393e7439ad948abe2b8e077a527ca6ce3). It was checked against agentenv-framework 0.9.1431.

  • envs/rednotebook/ is a computer app on the ubuntu-24.04 base with the reference driver, for amd64 and arm64. It installs rednotebook from the distribution archive, launches sh -c cd "$HOME" 2>/dev/null; exec 'rednotebook' at boot and is ready when a window of class Rednotebook appears.
  • Owned paths: ~/.local/share/rednotebook, ~/.rednotebook. data/get returns their files and a typed JSON view of each; data/reset restores the seed.
  • Seed: 18 file(s) made for the task, as saved at checkpoint seed. Text files and dconf keys spell the capture host's name as localhost, user@host as user@localhost and the home as /home/user, which the computer respells to its own at boot.
  • Seeded as captured, though the app keeps them for its own running, so a stale one can change how it starts: WebKit or Chromium storage ~/.local/share/rednotebook/hsts-storage.sqlite, ~/.local/share/rednotebook/mediakeys, ~/.local/share/rednotebook/storage.
  • Left out of the seed: the app's logs, which record facts about the capture host, such as its kernel, CPU and memory, and which it does not need to start: ~/.rednotebook/rednotebook.log.
  • tasks/smoke.json deploys the app.

Run the task with agent-env run <this folder>, or only the deploy with --task smoke.

The seed was made for this task, not taken from a user's own data; read envs/rednotebook/seed/ before publishing the bundle.

Task rosemary-journal-sentence

tasks/rosemary-journal-sentence.json deploys the app, has the agent work through the computer from the prompt below, and grades the outcome with artifacts/rosemary-journal-sentence-check/verify.py, which reads the app's data/get views and needs no model. It grades once the app's files have held for 3 s, so a save the app makes on its own within that time of the agent stopping counts; each result's settled is false when they were still changing 15 s after the first read. evals/rednotebook.toml names it, so a run of the bundle runs it.

In RedNotebook, add the sentence "Moved the rosemary to the sunny corner by the railing." to the end of my journal entry for Tuesday, 20 October 2026, then save the journal.

Checks, each of which must pass:

  • sentence-added: {"kind":"line_count","file":".rednotebook/data/2026-10.txt","contains":"pot. Moved the rosemary to the sunny corner by the railing.","equals":1}
  • entry-kept: {"kind":"line_count","file":".rednotebook/data/2026-10.txt","contains":"Repotted the basil and the rosemary on the balcony.","equals":1}
  • other-day-kept: {"kind":"line_count","file":".rednotebook/data/2026-10.txt","contains":"Cycled to the farmers market with Priya.","equals":1}

REA kept the task because its checks fail on the seed (sentence-added) 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 rosemary-journal-sentence --agent claude-code --model MODEL