Smoke test now passes

Smoke test now passes | Generated by AI

Home 2026.08

Done — your smoke test now passes. Here’s the full story:

What happened

Run	Result	Why
1st (`00-08-32`)	✗ test timeout @60s	Test script downloads apt + uv + pytest from the internet; your network is ~70 kB/s direct
2nd (`00-14-54`)	✗ timeout @600s	Even 10 min wasn’t enough — the 35 MB `uv` binary alone takes ~10 min
3rd (`00-35-42`)	✅ 100% accuracy	Proxy fix — test completed in 31.3s

The harness itself was never broken — it was purely a network speed issue: the task containers had no internet proxy, while your host has mihomo on 127.0.0.1:7890 (5.4 MB/s via GitHub through it).

What I fixed (3 changes)

/etc/docker/daemon.json — proxy was already configured but pointing at localhost:7890 (useless inside containers) and never loaded. Now: http://172.17.0.1:7890 (helps image pulls too). Backup saved at daemon.json.bak.
ufw rule — your existing rule allowed port 7890 only on docker0, but each benchmark trial creates a new compose bridge. Added: ufw allow from 172.16.0.0/12 to any port 7890 proto tcp.
All 241 docker-compose.yaml files in original-tasks/ — injected proxy env vars + host.docker.internal:host-gateway (overridable via T_BENCH_HTTP_PROXY). This is what actually gets the proxy into the containers.

Run your real benchmark now

cd /mnt/data/terminal-bench

# one task with DeepSeek
tb run --dataset-path original-tasks --agent terminus \
  --model deepseek/deepseek-chat -t "3d-model-format-legacy" \
  --n-concurrent 1 --no-rebuild

# full 241-task run (the actual benchmark)
tb run --dataset-path original-tasks --agent terminus \
  --model deepseek/deepseek-chat --n-concurrent 4

Notes

git status shows 241 modified compose files — revert anytime with git checkout -- original-tasks (but then re-run the patch: python3 /tmp/patch_proxy2.py). I can add the script to the repo if you like.
Your Docker services all restarted cleanly. nextcloud-app-1 has a pre-existing issue (image 33.0.0.16 vs data version 33.0.2.2 — needs docker compose pull for the newer image; the fast proxy makes that quick now).
Full benchmark tips: use --no-rebuild after the first run per task, watch disk space (each trial builds ~1.5 GB images, cleaned by default), and consider --n-concurrent 4 for throughput.

Want me to kick off the DeepSeek run on one task to verify the LLM path too?

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