GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking off) on Work out a library's overdue fines from loans, renewals, closed days and member categories
OGPT-6.1 Soldefault · thinking off · Codex CLI 0.163.0 (codex exec --json) · cloud · 2026-10-23 · by @bobsiopener
- Estimated cost
- $0.03
- Wall time
- 24s
- Human step-ins
- 0
- Outcome
- Pass
Compare with other models on this task →
Summary
Exact prompt
# Work out a library's overdue fines for November Inputs: `loans.csv` (loan_id, member_id, item_type, due_date, returned_on), `renewals.csv` (loan_id, renewed_on, new_due_date), `members.csv` (member_id, category), `library.json` and `desk-note.txt`. Amounts are in pounds. `library.json` is the record; where the desk note disagrees with it or with these rules, the rules win. Rules: - Renewals are applied in renewed_on order; a renewal counts only if renewed_on is on or before the due date in force when it was made, and it then replaces that due date with new_due_date. - Overdue days are the days after the due date in force, up to and including returned_on (or as_of if returned_on is blank), on which the library is open; it is closed on closed_weekdays and on the holidays dates. - Fine = overdue days x the item type's daily rate, capped at its max_fine; concession members pay concession_share_pct percent of that, rounded half-up to 0.01; child members pay nothing. - Write `out/fines.json`: `{"overdue_days": {"<loan_id>": <days>, ...}, "fines": {"<loan_id>": <fine>, ...}, "member_totals": {"<member_id>": <sum of fines>, ...}, "total": <sum of all fines>}`. `overdue_days` lists every loan with at least one overdue day; `fines` and `member_totals` list only entries above 0. ## 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: overdue_days renewals fines totals
Setup notes: batch29 case h01-library-overdue-fines (offline fixture). Prepared with batch29/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 1691910055): 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 2 (0 failed, recovered). Single run.
Estimated cost List-price estimate; not actually billed.
Metrics
- Estimated cost
- $0.03
- Wall time
- 24s
- 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 off | 51,528 | 708 | $0.03 |
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 off) via
Codex CLI 0.163.0 (codex exec --json), cloud. - It counts as a success only if it meets every success criterion: overdue_days renewals fines totals
- 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": "01a16830-10d8-7c63-be81-46aa80a3a648"}
{"type": "turn.started"}
{"type": "item.completed", "item": {"id": "item_0", "type": "agent_message", "text": "I\u2019ll check the input files, apply the renewal and fine rules, and write `out/fines.json`.\n"}}
{"type": "item.started", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc 'ls -la; cat loans.csv renewals.csv members.csv library.json desk-note.txt'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc 'ls -la; cat loans.csv renewals.csv members.csv library.json desk-note.txt'", "aggregated_output": "total 40\ndrwxr-xr-x 8 bob bob 4096 Oct 23 05:55 .\ndrwxrwxr-x 3 bob bob 4096 Oct 23 05:55 ..\ndr-xr-xr-x 2 bob bob 40 Oct 23 05:55 .agents\ndr-xr-xr-x 2 bob bob 40 Oct 23 05:55 .aws\ndr-xr-xr-x 2 bob bob 40 Oct 23 05:55 .codex\ndr-xr-xr-x 2 bob bob 40 Oct 23 05:55 .git\n-rw-r--r-- 1 bob bob 1710 Oct 23 05:55 TASK.md\ndrwxr-xr-x 2 bob bob 4096 Oct 23 05:55 ask\n-rw-r--r-- 1 bob bob 168 Oct 23 05:55 desk-note.txt\n-rw-r--r-- 1 bob bob 334 Oct 23 05:55 library.json\n-rw-r--r-- 1 bob bob 1119 Oct 23 05:55 loans.csv\n-rw-r--r-- 1 bob bob 200 Oct 23 05:55 members.csv\ndrwxr-xr-x 2 bob bob 4096 Oct 23 05:55 out\n-rw-r--r-- 1 bob bob 303 Oct 23 05:55 renewals.csv\nloan_id,member_id,item_type,due_date,returned_on\r\nLN-707,LM-2091,book,2026-11-17,\r\nLN-714,LM-2069,dvd,2026-11-13,\r\nLN-722,LM-2108,book,2026-11-20,2026-11-26\r\nLN-740,LM-2069,laptop,2026-11-06,\r\nLN-749,LM-2001,dvd,2026-11-17,\r\nLN-756,LM-2001,book,2026-11-04,2026-11-22\r\nLN-775,LM-2091,book,2026-11-20,2026-11-21\r\nLN-784,LM-2137,dvd,2026-11-13,2026-11-28\r\nLN-793,LM-2080,book,2026-11-19,\r\nLN-803,LM-2117,book,2026-11-08,2026-11-09\r\nLN-817,LM-2041,book,2026-11-05,2026-11-15\r\nLN-823,LM-2069,dvd,2026-11-17,2026-11-19\r\nLN-832,LM-2117,laptop,2026-11-12,\r\nLN-850,LM-2108,book,2026-11-24,\r\nLN-856,LM-2117,book,2026-11-05,\r\nLN-872,LM-2052,book,2026-11-17,2026-11-21\r\nLN-884,LM-2001,laptop,2026-11-24,\r\nLN-889,LM-2034,laptop,2026-11-10,2026-11-25\r\nLN-906,LM-2041,book,2026-11-01,2026-11-03\r\nLN-910,LM-2117,laptop,2026-11-07,2026-11-19\r\nLN-928,LM-2052,laptop,2026-11-22,2026-11-26\r\nLN-939,LM-2001,dvd,2026-11-21,\r\nLN-945,LM-2108,dvd,2026-11-06,2026-11-23\r\nLN-960,LM-2052,book,2026-11-16,2026-11-19\r\nLN-969,LM-2017,book,2026-11-21,2026-11-26\r\nLN-981,LM-2117,book,2026-11-14,2026-11-25\r\nLN-989,LM-2080,laptop,2026-11-10,2026-11-27\r\nloan_id,renewed_on,new_due_date\r\nLN-906,2026-11-03,2026-11-17\r\nLN-889,2026-11-10,2026-11-24\r\nLN-884,2026-11-24,2026-12-08\r\nLN-793,2026-11-20,2026-12-04\r\nLN-803,2026-11-05,2026-11-19\r\nLN-989,2026-11-12,2026-11-26\r\nLN-740,2026-11-11,2026-11-25\r\nLN-823,2026-11-15,2026-11-29\r\nLN-969,2026-11-21,2026-12-05\r\nmember_id,category\r\nLM-2001,adult\r\nLM-2017,adult\r\nLM-2034,adult\r\nLM-2041,adult\r\nLM-2052,adult\r\nLM-2069,adult\r\nLM-2080,child\r\nLM-2091,child\r\nLM-2108,concession\r\nLM-2117,concession\r\nLM-2137,concession\r\n{\n \"as_of\": \"2026-11-30\",\n \"closed_weekdays\": [\n \"Sun\"\n ],\n \"holidays\": [\n \"2026-11-09\",\n \"2026-11-20\"\n ],\n \"concession_share_pct\": 50,\n \"rates\": {\n \"book\": {\n \"daily\": \"0.30\",\n \"max_fine\": \"6.00\"\n },\n \"dvd\": {\n \"daily\": \"1.20\",\n \"max_fine\": \"12.00\"\n },\n \"laptop\": {\n \"daily\": \"3.00\",\n \"max_fine\": \"30.00\"\n }\n }\n}Desk note: since the new system went in, fines run every calendar day, and any renewal on the record resets the due date.\nChildren's fines are halved like concessions.\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc \"python - <<'PY'\nimport csv,json\nfrom datetime import date,timedelta\nfrom decimal import Decimal,ROUND_HALF_UP\nfrom collections import defaultdict\nfrom pathlib import Path\ncfg=json.load(open('library.json'))\nloans=list(csv.DictReader(open('loans.csv')))\nmembers={r['member_id']:r['category'] for r in csv.DictReader(open('members.csv'))}\nrenewals=defaultdict(list)\nfor r in csv.DictReader(open('renewals.csv')): renewals[r['loan_id']].append(r)\nholidays=set(cfg['holidays']); closed=set(cfg['closed_weekdays'])\ndays_out={}; fines={}; totals=defaultdict(Decimal)\nfor loan in loans:\n lid=loan['loan_id']; due=date.fromisoformat(loan['due_date'])\n for renewal in sorted(renewals[lid],key=lambda r:r['renewed_on']):\n if date.fromisoformat(renewal['renewed_on'])<=due:\n due=date.fromisoformat(renewal['new_due_date'])\n end=date.fromisoformat(loan['returned_on'] or cfg['as_of'])\n days=0; day=due+timedelta(days=1)\n while day<=end:\n if day.strftime('%a') not in closed and day.isoformat() not in holidays: days+=1\n day+=timedelta(days=1)\n if days: days_out[lid]=days\n rate=cfg['rates'][loan['item_type']]\n fine=min(Decimal(days)*Decimal(rate['daily']),Decimal(rate['max_fine']))\n category=members[loan['member_id']]\n if category=='child': fine=Decimal(0)\n elif category=='concession': fine=(fine*Decimal(str(cfg['concession_share_pct']))/100).quantize(Decimal('.01'),rounding=ROUND_HALF_UP)\n if fine>0:\n fines[lid]=fine\n totals[loan['member_id']]+=fine\nresult={'overdue_days':days_out,'fines':{k:float(v) for k,v in fines.items()},'member_totals':{k:float(v) for k,v in sorted(totals.items())},'total':float(sum(fines.values(),Decimal(0)))}\nPath('out').mkdir(exist_ok=True)\nPath('out/fines.json').write_text(json.dumps(result,indent=2)+'\\\\n')\nassert sum(result['fines'].values())-result['total']<.000001\nprint(Path('out/fines.json').read_text())\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc \"python - <<'PY'\nimport csv,json\nfrom datetime import date,timedelta\nfrom decimal import Decimal,ROUND_HALF_UP\nfrom collections import defaultdict\nfrom pathlib import Path\ncfg=json.load(open('library.json'))\nloans=list(csv.DictReader(open('loans.csv')))\nmembers={r['member_id']:r['category'] for r in csv.DictReader(open('members.csv'))}\nrenewals=defaultdict(list)\nfor r in csv.DictReader(open('renewals.csv')): renewals[r['loan_id']].append(r)\nholidays=set(cfg['holidays']); closed=set(cfg['closed_weekdays'])\ndays_out={}; fines={}; totals=defaultdict(Decimal)\nfor loan in loans:\n lid=loan['loan_id']; due=date.fromisoformat(loan['due_date'])\n for renewal in sorted(renewals[lid],key=lambda r:r['renewed_on']):\n if date.fromisoformat(renewal['renewed_on'])<=due:\n due=date.fromisoformat(renewal['new_due_date'])\n end=date.fromisoformat(loan['returned_on'] or cfg['as_of'])\n days=0; day=due+timedelta(days=1)\n while day<=end:\n if day.strftime('%a') not in closed and day.isoformat() not in holidays: days+=1\n day+=timedelta(days=1)\n if days: days_out[lid]=days\n rate=cfg['rates'][loan['item_type']]\n fine=min(Decimal(days)*Decimal(rate['daily']),Decimal(rate['max_fine']))\n category=members[loan['member_id']]\n if category=='child': fine=Decimal(0)\n elif category=='concession': fine=(fine*Decimal(str(cfg['concession_share_pct']))/100).quantize(Decimal('.01'),rounding=ROUND_HALF_UP)\n if fine>0:\n fines[lid]=fine\n totals[loan['member_id']]+=fine\nresult={'overdue_days':days_out,'fines':{k:float(v) for k,v in fines.items()},'member_totals':{k:float(v) for k,v in sorted(totals.items())},'total':float(sum(fines.values(),Decimal(0)))}\nPath('out').mkdir(exist_ok=True)\nPath('out/fines.json').write_text(json.dumps(result,indent=2)+'\\\\n')\nassert sum(result['fines'].values())-result['total']<.000001\nprint(Path('out/fines.json').read_text())\nPY\"", "aggregated_output": "{\n \"overdue_days\": {\n \"LN-707\": 10,\n \"LN-714\": 13,\n \"LN-722\": 5,\n \"LN-740\": 18,\n \"LN-749\": 10,\n \"LN-756\": 13,\n \"LN-775\": 1,\n \"LN-784\": 12,\n \"LN-793\": 8,\n \"LN-817\": 7,\n \"LN-832\": 14,\n \"LN-850\": 5,\n \"LN-856\": 19,\n \"LN-872\": 3,\n \"LN-889\": 1,\n \"LN-906\": 2,\n \"LN-910\": 9,\n \"LN-928\": 4,\n \"LN-939\": 7,\n \"LN-945\": 12,\n \"LN-960\": 3,\n \"LN-981\": 8,\n \"LN-989\": 14\n },\n \"fines\": {\n \"LN-714\": 12.0,\n \"LN-722\": 0.75,\n \"LN-740\": 30.0,\n \"LN-749\": 12.0,\n \"LN-756\": 3.9,\n \"LN-784\": 6.0,\n \"LN-817\": 2.1,\n \"LN-832\": 15.0,\n \"LN-850\": 0.75,\n \"LN-856\": 2.85,\n \"LN-872\": 0.9,\n \"LN-889\": 3.0,\n \"LN-906\": 0.6,\n \"LN-910\": 13.5,\n \"LN-928\": 12.0,\n \"LN-939\": 8.4,\n \"LN-945\": 6.0,\n \"LN-960\": 0.9,\n \"LN-981\": 1.2\n },\n \"member_totals\": {\n \"LM-2001\": 24.3,\n \"LM-2034\": 3.0,\n \"LM-2041\": 2.7,\n \"LM-2052\": 13.8,\n \"LM-2069\": 42.0,\n \"LM-2108\": 7.5,\n \"LM-2117\": 32.55,\n \"LM-2137\": 6.0\n },\n \"total\": 131.85\n}\n\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_3", "type": "agent_message", "text": "Created [out/fines.json](out/fines.json) using the stated rules and `library.json`.\n\nTotal fines: **\u00a3131.85**."}}
{"type": "turn.completed", "usage": {"input_tokens": 51528, "cached_input_tokens": 42240, "cache_write_input_tokens": 0, "output_tokens": 708, "reasoning_output_tokens": 0}}