GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking on) on Reach a goal stack configuration using a simulator CLI with minimal moves
OGPT-6.1 Soldefault · thinking on · Codex CLI 0.163.0 (codex exec --json) · cloud · 2026-10-22 · by @bobsiopener
- Estimated cost
- $0.04
- Wall time
- 30s
- Human step-ins
- 0
- Outcome
- Pass
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Summary
Exact prompt
# Task: plan with a tool `wh.py` is a warehouse stacking simulator (read its docstring: `python wh.py status`). Reach the goal configuration in `goal.json` using ONLY `python wh.py move SRC DST` calls. Every call (including `status` and rejected moves) is logged in `calls.log`; your score depends on reaching the goal with as few `move` calls as possible (rejected moves count). Do NOT edit `wh.py`, `state.json`, `goal.json`, or `calls.log` by hand — the grader replays `calls.log` from the initial state. Plan before moving. No network.
Grader replays calls.log; optimal is 13 moves (BFS), pass ≤15 with zero rejected moves. Rewards planning before acting over trial-and-error. Original benchmark task written for usecaserank.com. Headless, offline run on a reproducible fixture. Cost shown is a list-price API-equivalent estimate (run on a ChatGPT subscription, not billed).
Success criteria: 1. wh.py and goal.json must be unmodified. 2. Replaying calls.log from the original initial state must reach the goal configuration. 3. Zero rejected (illegal) moves in the log. 4. Number of move calls <= optimal (computed by BFS in the scorer) + 2.
Setup notes: Use Case Scout batch4 case d11-tool-use-planning (offline fixture). Prepared with batch4/prepare.sh on the shared box; only TASK.md + starting files were copied to the agent machine, hidden key/tests stayed on the box. Prompt = TASK.md verbatim on stdin. Flags: --json -s workspace-write --skip-git-repo-check --ephemeral --ignore-user-config --ignore-rules -C <workdir>. Scored on the box with the scout's scorer: `python score.py WORKDIR`. Single run, no retries. User-level AGENTS.md (846 bytes, sha256 83ec4fe50da8) may have been in context; --ignore-user-config does not document excluding it. Serving model not confirmed: requested via -m; the event log does not echo the serving model id. Price source is secondary (pricing.json verification='secondary', https://www.actuia.com/en/news/ai-api-pricing-in-october-2026-050-to-50-for-output/), not an official OpenAI price page. Score: 4/4 checks. Cost is an ESTIMATE: measured tokens x pricing.json list price (ChatGPT plan, nothing billed); input_tokens include cached reads; output_tokens include reasoning tokens. Tool calls 6 (1 failed, recovered). Single run.
Estimated cost List-price estimate; not actually billed.
Metrics
- Estimated cost
- $0.04
- Wall time
- 30s
- Human step-ins
- 0
- Turns
- 1
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| OGPT-6.1 Solopenai/gpt-6.1-soleffort default (no reasoning-effort override) · thinking on | 97,660 | 784 | $0.04 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: GPT-6.1 Sol (openai/gpt-6.1-sol, effort default (no reasoning-effort override) · thinking on) via
Codex CLI 0.163.0 (codex exec --json), cloud. - It counts as a success only if it meets every success criterion: 1. wh.py and goal.json must be unmodified. 2. Replaying calls.log from the original initial state must reach the goal configuration. 3. Zero rejected (illegal) moves in the log. 4. Number of move calls <= optimal (computed by BFS in the scorer) + 2.
- Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.
How runs are scored: Methodology.
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Automated checks
Trust 80% comes from these checks (how Trust % works).
- Run date is not in the future : passed
- Model is in the dated pricing table : passed
- Cost recomputed from tokens matches : passed
- Cached tokens are consistent : passed
- Output throughput is plausible : passed
- Autonomy matches step-ins : passed
- Step-ins do not exceed turns : passed
- Retries agree with first-try result : passed
- Evidence log SHA-256 matches : passed
- Evidence log is substantial : passed
Evidence log
{"type": "thread.started", "thread_id": "01a1642a-b368-7a20-884d-9109728f04c1"}
{"type": "turn.started"}
{"type": "item.completed", "item": {"id": "item_0", "type": "agent_message", "text": "I\u2019ll read the simulator rules and goal, then plan the moves before changing the stacks."}}
{"type": "item.started", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc 'python wh.py status'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc 'python wh.py status'", "aggregated_output": "/bin/bash: line 1: python: command not found\n", "exit_code": 127, "status": "failed"}}
{"type": "item.started", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat goal.json'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat goal.json'", "aggregated_output": "{\"A\":[],\"B\":[\"a\",\"b\",\"f\",\"d\",\"e\"],\"C\":[\"c\"],\"D\":[]}\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc 'command -v python3; cat wh.py'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc 'command -v python3; cat wh.py'", "aggregated_output": "/usr/bin/python3\n#!/usr/bin/env python3\n\"\"\"Warehouse stacking simulator. Usage:\n python wh.py status show stacks (bottom -> top) and the goal\n python wh.py move SRC DST move the TOP crate of stack SRC onto stack DST\nRules: a crate may only be placed on an empty stack or on a crate whose weight is >= its own.\nStack 'D' is a dock with capacity 2 crates. Every call is appended to calls.log; invalid moves are rejected (still logged, count as moves).\n\"\"\"\nimport json,sys,os\nH=os.path.dirname(os.path.abspath(__file__)); S=os.path.join(H,\"state.json\")\nW={\"a\":5,\"b\":4,\"c\":3,\"d\":2,\"e\":1,\"f\":3}\ndef legal(st,src,dst):\n if src not in st or dst not in st or src==dst or not st[src]: return \"bad stacks\"\n c=st[src][-1]\n if dst==\"D\" and len(st[\"D\"])>=2: return \"dock full\"\n if st[dst] and W[st[dst][-1]]<W[c]: return f\"{c} (w{W[c]}) cannot go on {st[dst][-1]} (w{W[st[dst][-1]]})\"\n return None\ndef main(a):\n st=json.load(open(S)); goal=json.load(open(os.path.join(H,\"goal.json\")))\n with open(os.path.join(H,\"calls.log\"),\"a\") as f: f.write(\" \".join(a)+\"\\n\")\n if a[:1]==[\"status\"]:\n for k in sorted(st): print(f\"{k}: {' '.join(f'{c}(w{W[c]})' for c in st[k])}\")\n print(\"goal:\",json.dumps(goal)); return 0\n if len(a)==3 and a[0]==\"move\":\n e=legal(st,a[1],a[2])\n if e: print(\"REJECTED:\",e); return 1\n st[a[2]].append(st[a[1]].pop()); json.dump(st,open(S,\"w\")); print(\"ok\"); return 0\n print(__doc__); return 2\nif __name__==\"__main__\": sys.exit(main(sys.argv[1:]))\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc 'python() { python3 \"$@\"; }\npython wh.py status'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc 'python() { python3 \"$@\"; }\npython wh.py status'", "aggregated_output": "A: a(w5) c(w3) e(w1)\nB: b(w4) d(w2)\nC: f(w3)\nD: \ngoal: {\"A\": [], \"B\": [\"a\", \"b\", \"f\", \"d\", \"e\"], \"C\": [\"c\"], \"D\": []}\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport json\nfrom collections import deque\nkeys='ABCD'; w={'a':5,'b':4,'c':3,'d':2,'e':1,'f':3}\nstart=tuple(tuple(json.load(open('state.json'))[k]) for k in keys)\ngoal=tuple(tuple(json.load(open('goal.json'))[k]) for k in keys)\nq=deque([start]); prev={start:None}\nwhile q:\n s=q.popleft()\n if s==goal: break\n for i in range(4):\n if not s[i]: continue\n for j in range(4):\n if i==j or (j==3 and len(s[j])>=2) or (s[j] and w[s[j][-1]]<w[s[i][-1]]): continue\n t=list(s); t[i]=s[i][:-1]; t[j]=s[j]+(s[i][-1],); t=tuple(t)\n if t not in prev: prev[t]=(s,keys[i],keys[j]); q.append(t)\nelse: raise Exception('No solution')\npath=[]\nwhile prev[s]:\n s,a,b=prev[s]; path.append((a,b))\npath.reverse()\nprint('Shortest move count:',len(path))\nfor a,b in path: print('python wh.py move',a,b)\nopen('/tmp/warehouse_plan.json','w').write(json.dumps(path))\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport json\nfrom collections import deque\nkeys='ABCD'; w={'a':5,'b':4,'c':3,'d':2,'e':1,'f':3}\nstart=tuple(tuple(json.load(open('state.json'))[k]) for k in keys)\ngoal=tuple(tuple(json.load(open('goal.json'))[k]) for k in keys)\nq=deque([start]); prev={start:None}\nwhile q:\n s=q.popleft()\n if s==goal: break\n for i in range(4):\n if not s[i]: continue\n for j in range(4):\n if i==j or (j==3 and len(s[j])>=2) or (s[j] and w[s[j][-1]]<w[s[i][-1]]): continue\n t=list(s); t[i]=s[i][:-1]; t[j]=s[j]+(s[i][-1],); t=tuple(t)\n if t not in prev: prev[t]=(s,keys[i],keys[j]); q.append(t)\nelse: raise Exception('No solution')\npath=[]\nwhile prev[s]:\n s,a,b=prev[s]; path.append((a,b))\npath.reverse()\nprint('Shortest move count:',len(path))\nfor a,b in path: print('python wh.py move',a,b)\nopen('/tmp/warehouse_plan.json','w').write(json.dumps(path))\nPY\"", "aggregated_output": "Shortest move count: 13\npython wh.py move B C\npython wh.py move A C\npython wh.py move B D\npython wh.py move A D\npython wh.py move A B\npython wh.py move D A\npython wh.py move C A\npython wh.py move D B\npython wh.py move C D\npython wh.py move C B\npython wh.py move D B\npython wh.py move A B\npython wh.py move A C\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_6", "type": "agent_message", "text": "The shortest legal plan is 13 moves, verified by breadth-first search. I\u2019ll execute it now."}}
{"type": "item.started", "item": {"id": "item_7", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport json, subprocess, os, tempfile\np=tempfile.mkdtemp(prefix='warehouse-python-',dir='/tmp')\nos.symlink('/usr/bin/python3',p+'/python')\nenv=dict(os.environ,PATH=p+':'+os.environ['PATH'])\nfor src,dst in json.load(open('/tmp/warehouse_plan.json')):\n r=subprocess.run(['python','wh.py','move',src,dst],env=env,capture_output=True,text=True)\n print(src+' -> '+dst+': '+r.stdout.strip())\n if r.returncode: raise SystemExit(r.returncode)\nst=json.load(open('state.json')); goal=json.load(open('goal.json'))\nassert st==goal,(st,goal)\nprint('Verified: state matches goal.')\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_7", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport json, subprocess, os, tempfile\np=tempfile.mkdtemp(prefix='warehouse-python-',dir='/tmp')\nos.symlink('/usr/bin/python3',p+'/python')\nenv=dict(os.environ,PATH=p+':'+os.environ['PATH'])\nfor src,dst in json.load(open('/tmp/warehouse_plan.json')):\n r=subprocess.run(['python','wh.py','move',src,dst],env=env,capture_output=True,text=True)\n print(src+' -> '+dst+': '+r.stdout.strip())\n if r.returncode: raise SystemExit(r.returncode)\nst=json.load(open('state.json')); goal=json.load(open('goal.json'))\nassert st==goal,(st,goal)\nprint('Verified: state matches goal.')\nPY\"", "aggregated_output": "B -> C: ok\nA -> C: ok\nB -> D: ok\nA -> D: ok\nA -> B: ok\nD -> A: ok\nC -> A: ok\nD -> B: ok\nC -> D: ok\nC -> B: ok\nD -> B: ok\nA -> B: ok\nA -> C: ok\nVerified: state matches goal.\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_8", "type": "agent_message", "text": "Reached and verified the goal in **13 moves**, the shortest possible plan. No rejected moves."}}
{"type": "turn.completed", "usage": {"input_tokens": 97660, "cached_input_tokens": 87424, "cache_write_input_tokens": 0, "output_tokens": 784, "reasoning_output_tokens": 29}}