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GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking off) on Charge residents' parking permits by emission band, part year, household order and blue-badge exemption

OGPT-6.1 Soldefault · thinking off · Codex CLI 0.163.0 (codex exec --json) · cloud · 2026-10-23 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.03
Wall time
28s
Human step-ins
0
Outcome
Pass

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Summary

Exact prompt

# Charge a council's residents' parking permits for the rest of the scheme year Inputs: `permits.csv` (permit_id, household, reg, co2_gkm, fuel, start_date, cancelled_on, status), `charges.json`, `blue-badges.csv` (household) and `office-note.txt`. Amounts are in pounds. `charges.json` and these rules are the record; where the office note disagrees, the rules win. Rules: - Permits with status refused are ignored. Households match ignoring letter case and surrounding spaces; report them in upper case. - A car's band is the first band in charges.json whose max_co2 is at least co2_gkm (a car exactly on a limit stays in that band; max_co2 null is the top band). Electric cars are band "electric" and free. - Diesel cars add diesel_surcharge to the band's annual price. - A permit is charged annual price x days / days_in_year, counting days from start_date to cancelled_on (or scheme_year_end), both included. - In each household, non-electric permits are ordered by start_date (ties by the permit number); every permit after the first costs additional_permit_pct percent more. - A household in blue-badges.csv pays nothing for its first non-electric permit only. - Each permit's charge is rounded half-up to 0.01 at the end. Write `out/permits.json`: `{"band": {"<permit_id>": "<band>", ...}, "charge": {"<permit_id>": <charge>, ...}, "household_totals": {"<HOUSEHOLD>": <sum>, ...}, "total": <sum of charges>}` covering every permit that is not refused. ## How this run works - Work on your own: nobody will answer questions in this task, and writing to `ask/` counts against the run. - Write only under `out/`. Create `out/` if it is missing. Inputs are synthetic; don't fetch anything from the network. - Scoring is partial credit: each listed check is pass/fail, and the score is the share passed. Numbers are compared to within 0.005 unless the task says otherwise.

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: bands pro_rata household_order_and_badges totals

Setup notes: batch30 case o02-residents-parking-permits (offline fixture). Prepared with batch30/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: `python3 score.py WORKDIR KEYDIR`. 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. Autonomous case (seed 136717216): no stand-in user; any ask/ file counts as an intervention and blocks a pass. 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. 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 3 (0 failed, recovered). Single run.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost
$0.03
Wall time
28s
Human step-ins
0
Turns
1
Model usage
ModelInput tokOutput tokCost
OGPT-6.1 Solopenai/gpt-6.1-soleffort default (no reasoning-effort override) · thinking off65,566839$0.03

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: GPT-6.1 Sol (openai/gpt-6.1-sol, effort default (no reasoning-effort override) · thinking off) via Codex CLI 0.163.0 (codex exec --json), cloud.
  3. It counts as a success only if it meets every success criterion: bands pro_rata household_order_and_badges totals
  4. 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).

Evidence log
{"type": "thread.started", "thread_id": "01a16834-e83c-7a70-b671-d83ac539e357"}
{"type": "turn.started"}
{"type": "item.completed", "item": {"id": "item_0", "type": "agent_message", "text": "I\u2019ll read the inputs, apply the rules, and write `out/permits.json`.\n"}}
{"type": "item.started", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g 'permits.csv' -g 'charges.json' -g 'blue-badges.csv' -g 'office-note.txt' -g 'AGENTS.md'\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd && rg --files -g 'permits.csv' -g 'charges.json' -g 'blue-badges.csv' -g 'office-note.txt' -g 'AGENTS.md'\"", "aggregated_output": "/home/bob/usecase-runs/b2930/out/codex/gpt-6.1-sol/b30o02/work\ncharges.json\nblue-badges.csv\npermits.csv\noffice-note.txt\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat charges.json permits.csv blue-badges.csv office-note.txt'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc 'cat charges.json permits.csv blue-badges.csv office-note.txt'", "aggregated_output": "{\n \"scheme_year_end\": \"2027-03-31\",\n \"days_in_year\": 365,\n \"diesel_surcharge\": \"40.00\",\n \"additional_permit_pct\": 100,\n \"bands\": [\n  {\n   \"band\": \"A\",\n   \"max_co2\": 100,\n   \"annual\": \"30.00\"\n  },\n  {\n   \"band\": \"B\",\n   \"max_co2\": 160,\n   \"annual\": \"80.00\"\n  },\n  {\n   \"band\": \"C\",\n   \"max_co2\": null,\n   \"annual\": \"180.00\"\n  }\n ]\n}permit_id,household,reg,co2_gkm,fuel,start_date,cancelled_on,status\r\nRP-29,25 dale ave,ZZ20 QRT,118,petrol,2026-11-19,,issued\r\nRP-19,25 DALE AVE,DR12 XYU,194,diesel,2026-11-05,,issued\r\nRP-15,59 Ash Grove ,CM22 ZWY,0,electric,2026-11-20,,issued\r\nRP-11,59 Ash Grove,DP24 TYZ,100,hybrid,2026-11-29,,issued\r\nRP-16,28 Bell St ,FR67 TZX,155,petrol,2026-11-20,,issued\r\nRP-9,74 Cobden Rd ,CN18 ZUT,158,diesel,2026-12-01,,issued\r\nRP-7,68 fir close,EP45 VXW,0,electric,2026-11-03,,issued\r\nRP-8,25 Dale Ave,ZZ19 QRS,178,petrol,2026-11-19,,issued\r\nhousehold\r\n25 DALE AVE\r\n59 ASH GROVE\r\nOffice note: a car exactly on a band limit goes into the next band up. Count days from the start date up to, but not including, the end date.\nBlue badge households get all their permits free.\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc \"mkdir -p out\npython - <<'PY'\nimport csv,json,re\nfrom decimal import Decimal,ROUND_HALF_UP\nfrom datetime import date\nfrom collections import defaultdict\nfrom pathlib import Path\nc=json.load(open('charges.json'))\nrows=[r for r in csv.DictReader(open('permits.csv')) if r['status'].strip().lower()\"'!='\"'refused']\nbadges={r['household'].strip().upper() for r in csv.DictReader(open('blue-badges.csv'))}\ngroups=defaultdict(list)\nfor r in rows:\n r['household']=r['household'].strip().upper()\n groups[r['household']].append(r)\ndef permit_number(r):\n return tuple(int(x) if x.isdigit() else x for x in re.split(r'(\\\\d+)',r['permit_id']))\nranks={}\nfor h,rs in groups.items():\n non_electric=sorted((r for r in rs if r['fuel'].strip().lower()\"'!='\"'electric'),key=lambda r:(r['start_date'],permit_number(r)))\n for i,r in enumerate(non_electric): ranks[r['permit_id']]=i\nbands={}; charges={}; totals=defaultdict(Decimal)\nfor r in rows:\n pid=r['permit_id']; h=r['household']; fuel=r['fuel'].strip().lower()\n if fuel=='electric':\n  band='electric'; amount=Decimal(0)\n else:\n  b=next(b for b in c['bands'] if b['max_co2'] is None or Decimal(r['co2_gkm'])<=Decimal(str(b['max_co2'])))\n  band=b['band']; annual=Decimal(b['annual'])\n  if fuel=='diesel': annual+=Decimal(c['diesel_surcharge'])\n  days=(date.fromisoformat(r['cancelled_on'] or c['scheme_year_end'])-date.fromisoformat(r['start_date'])).days+1\n  amount=annual*Decimal(days)/Decimal(c['days_in_year'])\n  if ranks[pid]>0: amount*=1+Decimal(str(c['additional_permit_pct']))/100\n  if h in badges and ranks[pid]==0: amount=Decimal(0)\n amount=amount.quantize(Decimal('.01'),rounding=ROUND_HALF_UP)\n bands[pid]=band; charges[pid]=amount; totals[h]+=amount\nresult={'band':bands,'charge':{k:float(v) for k,v in charges.items()},'household_totals':{k:float(v) for k,v in totals.items()},'total':float(sum(charges.values(),Decimal(0)))}\nPath('out/permits.json').write_text(json.dumps(result,indent=2)+'\\\\n')\nassert len(result['band'])==len(rows)==len(result['charge'])\nassert sum(totals.values())==sum(charges.values())\nprint(json.dumps(result,indent=2))\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc \"mkdir -p out\npython - <<'PY'\nimport csv,json,re\nfrom decimal import Decimal,ROUND_HALF_UP\nfrom datetime import date\nfrom collections import defaultdict\nfrom pathlib import Path\nc=json.load(open('charges.json'))\nrows=[r for r in csv.DictReader(open('permits.csv')) if r['status'].strip().lower()\"'!='\"'refused']\nbadges={r['household'].strip().upper() for r in csv.DictReader(open('blue-badges.csv'))}\ngroups=defaultdict(list)\nfor r in rows:\n r['household']=r['household'].strip().upper()\n groups[r['household']].append(r)\ndef permit_number(r):\n return tuple(int(x) if x.isdigit() else x for x in re.split(r'(\\\\d+)',r['permit_id']))\nranks={}\nfor h,rs in groups.items():\n non_electric=sorted((r for r in rs if r['fuel'].strip().lower()\"'!='\"'electric'),key=lambda r:(r['start_date'],permit_number(r)))\n for i,r in enumerate(non_electric): ranks[r['permit_id']]=i\nbands={}; charges={}; totals=defaultdict(Decimal)\nfor r in rows:\n pid=r['permit_id']; h=r['household']; fuel=r['fuel'].strip().lower()\n if fuel=='electric':\n  band='electric'; amount=Decimal(0)\n else:\n  b=next(b for b in c['bands'] if b['max_co2'] is None or Decimal(r['co2_gkm'])<=Decimal(str(b['max_co2'])))\n  band=b['band']; annual=Decimal(b['annual'])\n  if fuel=='diesel': annual+=Decimal(c['diesel_surcharge'])\n  days=(date.fromisoformat(r['cancelled_on'] or c['scheme_year_end'])-date.fromisoformat(r['start_date'])).days+1\n  amount=annual*Decimal(days)/Decimal(c['days_in_year'])\n  if ranks[pid]>0: amount*=1+Decimal(str(c['additional_permit_pct']))/100\n  if h in badges and ranks[pid]==0: amount=Decimal(0)\n amount=amount.quantize(Decimal('.01'),rounding=ROUND_HALF_UP)\n bands[pid]=band; charges[pid]=amount; totals[h]+=amount\nresult={'band':bands,'charge':{k:float(v) for k,v in charges.items()},'household_totals':{k:float(v) for k,v in totals.items()},'total':float(sum(charges.values(),Decimal(0)))}\nPath('out/permits.json').write_text(json.dumps(result,indent=2)+'\\\\n')\nassert len(result['band'])==len(rows)==len(result['charge'])\nassert sum(totals.values())==sum(charges.values())\nprint(json.dumps(result,indent=2))\nPY\"", "aggregated_output": "{\n  \"band\": {\n    \"RP-29\": \"B\",\n    \"RP-19\": \"C\",\n    \"RP-15\": \"electric\",\n    \"RP-11\": \"A\",\n    \"RP-16\": \"B\",\n    \"RP-9\": \"B\",\n    \"RP-7\": \"electric\",\n    \"RP-8\": \"C\"\n  },\n  \"charge\": {\n    \"RP-29\": 58.3,\n    \"RP-19\": 0.0,\n    \"RP-15\": 0.0,\n    \"RP-11\": 0.0,\n    \"RP-16\": 28.93,\n    \"RP-9\": 39.78,\n    \"RP-7\": 0.0,\n    \"RP-8\": 131.18\n  },\n  \"household_totals\": {\n    \"25 DALE AVE\": 189.48,\n    \"59 ASH GROVE\": 0.0,\n    \"28 BELL ST\": 28.93,\n    \"74 COBDEN RD\": 39.78,\n    \"68 FIR CLOSE\": 0.0\n  },\n  \"total\": 258.19\n}\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_4", "type": "agent_message", "text": "Created [out/permits.json](out/permits.json) covering all 8 permits. Total charges: **\u00a3258.19**."}}
{"type": "turn.completed", "usage": {"input_tokens": 65566, "cached_input_tokens": 55936, "cache_write_input_tokens": 0, "output_tokens": 839, "reasoning_output_tokens": 0}}

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