{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "bincequ-roboharness--watch-single-instance-rollout",
 "repo": "BinceQu/RoboHarness",
 "repo_url": "https://github.com/BinceQu/RoboHarness",
 "repo_slug": "bincequ-roboharness",
 "title": "Watch one agent rollout in a browser",
 "page_title": "How to watch one agent rollout in a browser with Robo Harness",
 "summary": "Run a single BEHAVIOR instance and open the live interface through an SSH tunnel.",
 "who": "A researcher debugging why an LLM agent fails a household task, working on a GPU server they reach over SSH.",
 "problem": "Full five-instance runs hide the step-by-step behavior of the agent, which is needed to diagnose failures.",
 "outcome": "A separate run directory with the prompt, agent output, error log and trajectory for instance 301, viewed live in the browser.",
 "steps": [
  "`ssh -N -L 15071:127.0.0.1:15071 YOUR_USER@YOUR_EVALUATION_HOST`",
  "`./scripts/reproduce_task.sh task01 --gpu 0 --run-dir runs/task01-301 --instances 301` (inferred, check the README)",
  "Open http://127.0.0.1:15071 in your own browser to watch the rollout.",
  "Read `runs/task01-301/instance_301/` for the prompt, agent output, error log and trajectory."
 ],
 "agent_prompt": "In the RoboHarness repo, start a single-instance trial of task <task id> with --instances 301 in a new run directory that does not already exist. Report the path of instance_301/ and the last lines of its error log. Verify that the run directory is new before launching.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "4 hours",
 "basis": "readme",
 "caveat": "The README says a single-instance result is only a trial, because the full task mean requires all five instances.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "Linux x86-64 machine with an NVIDIA RTX GPU and the CUDA 12.4 toolkit (the validation host had 48 GB VRAM per GPU)",
  "Python 3.11 and Claude Code 2.1.259 for the paper configuration",
  "Licensed BEHAVIOR scene data, plus the Isaac Sim terms that the README says apply",
  "A separately running model server with an Anthropic-compatible /v1/messages endpoint that supports image input, tool calls and streaming",
  "Enough local disk for the BEHAVIOR data and the Hugging Face assets"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/bincequ-roboharness/watch-single-instance-rollout/",
 "md": "https://dedupedai.com/use-cases/bincequ-roboharness/watch-single-instance-rollout/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/bincequ-roboharness--watch-single-instance-rollout.json",
 "api_version": "v1"
}