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GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking off) on Answer 8 questions from 12 conflicting dated sources with correct citations

OGPT-6.1 Soldefault · thinking off · Codex CLI 0.163.0 (codex exec --json) · cloud · 2026-10-22 · by @bobsiopener

Trust 80%Fully autonomousfail · 0 retries
Estimated cost
$0.04
Wall time
40s
Human step-ins
0
Outcome
Fail

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Summary

Exact prompt

# Task: answer questions from conflicting internal sources (as of 2026-10-15) `sources/` contains 12 dated documents about Voltaris's Kestrel Valley plant. They conflict. Prefer approved/official and newer documents; corrections override what they correct; drafts, rumors and unverified posts are not facts. Answer in `answers.json`: {"q1": {"answer": "...", "sources": ["<filename>", ...]}, ...}. Put the single most authoritative file FIRST in sources. - q1: Current planned annual capacity in GWh (number only) - q2: Current planned investment in EUR billion (number only) - q3: Current planned production start (e.g. "Q1 2028") - q4: Planned headcount at full ramp (integer) - q5: Primary cathode supplier (company name) - q6: Separator supplier (company name) - q7: Is the CEO leaving before launch, according to the best evidence? ("yes"/"no") - q8: What must be operational before production start under the water permit? (short phrase) Also write `brief.md` (≤200 words) summarising the current plan and flagging which sources were superseded or unreliable. No network.

Requires source-reliability reasoning: corrections override news, approved minutes override drafts, rumors are not facts, newer plans supersede older ones. Tests citation of the authoritative file, not just the answer. 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. At least 7 of 8 answers correct (normalised: the expected value must appear in the given answer, ignoring case/punctuation/commas). 2. For at least 7 of 8 questions the FIRST file in 'sources' must be the authoritative source file. 3. brief.md must exist, be 1–200 words, and must not state the rumoured/draft figures (the unapproved capacity values or the rumoured headcount) unless explicitly labelled as rumour/draft/unverified/rejected/not approved.

Setup notes: Use Case Scout batch3 case c07-conflicting-sources (offline fixture). Prepared with batch3/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 KEYDIR/key.json`. 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: fail. 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 4 (1 failed, recovered). Single run.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost
$0.04
Wall time
40s
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 off83,2281,188$0.04

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: 1. At least 7 of 8 answers correct (normalised: the expected value must appear in the given answer, ignoring case/punctuation/commas). 2. For at least 7 of 8 questions the FIRST file in 'sources' must be the authoritative source file. 3. brief.md must exist, be 1–200 words, and must not state the rumoured/draft figures (the unapproved capacity values or the rumoured headcount) unless explicitly labelled as rumour/draft/unverified/rejected/not approved.
  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.

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Automated checks

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Evidence log
{"type": "thread.started", "thread_id": "01a1641b-b2bf-78e0-84ce-c2d9cc14ff96"}
{"type": "turn.started"}
{"type": "item.completed", "item": {"id": "item_0", "type": "agent_message", "text": "I\u2019ll compare the dated sources and write `answers.json` and a brief using the strongest evidence available as of 2026-10-15."}}
{"type": "item.started", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd; rg --files -g 'AGENTS.md' -g 'sources/**'\"", "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 'AGENTS.md' -g 'sources/**'\"", "aggregated_output": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/143_c07/work\nsources/07_hr_plan_2026-06-10.md\nsources/11_draft_budget_2026-09-01.md\nsources/06_correction_2026-05-22.md\nsources/08_engineering_update_2026-07-08.md\nsources/05_news_article_2026-05-20.md\nsources/04_supplier_memo_2026-05-02.md\nsources/12_board_minutes_2026-09-29.md\nsources/03_board_minutes_2026-04-14.md\nsources/10_ceo_interview_2026-08-12.md\nsources/09_permit_notice_2026-07-30.md\nsources/01_press_release_2026-03-02.md\nsources/02_forum_post_2026-03-05.md\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc \"for f in sources/*.md; do printf '\\\\n%s\\\\n' \\\"\"'$f\"; cat \"$f\"; done'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc \"for f in sources/*.md; do printf '\\\\n%s\\\\n' \\\"\"'$f\"; cat \"$f\"; done'", "aggregated_output": "\nsources/01_press_release_2026-03-02.md\n# Press release (2026-03-02)\nVoltaris announces its Kestrel Valley cell plant. Planned annual capacity: 12 GWh. Production start: Q2 2027. Investment: EUR 1.8 billion. Expected jobs: 1,400.\n\nsources/02_forum_post_2026-03-05.md\n# Anonymous forum post (2026-03-05, unverified)\nHeard from a friend the plant will actually be 30 GWh and they'll hire 4,000 people. Also the CEO is leaving.\n\nsources/03_board_minutes_2026-04-14.md\n# Board minutes (2026-04-14, approved)\nThe board approved increasing planned capacity to 16 GWh. Investment rises to EUR 2.1 billion. Production start unchanged.\n\nsources/04_supplier_memo_2026-05-02.md\n# Supplier memo (2026-05-02)\nCathode supplier: Norvik Materials (primary). Anode supplier: Graphex (primary). Separator supplier TBD.\n\nsources/05_news_article_2026-05-20.md\n# Trade news (2026-05-20)\nSources say Voltaris has picked Lumen Chem as its cathode supplier, replacing Norvik.\n\nsources/06_correction_2026-05-22.md\n# Trade news correction (2026-05-22)\nCorrection: our 2026-05-20 article wrongly stated Lumen Chem replaced Norvik Materials. Norvik remains the primary cathode supplier; Lumen Chem is a secondary supplier.\n\nsources/07_hr_plan_2026-06-10.md\n# HR plan v2 (2026-06-10, approved by COO)\nHeadcount at full ramp: 1,650 (supersedes the 1,400 in the press release). Hiring starts 2026-11.\n\nsources/08_engineering_update_2026-07-08.md\n# Engineering update (2026-07-08)\nDue to permitting delays, production start moves to Q4 2027. Capacity plan unchanged from board decision.\n\nsources/09_permit_notice_2026-07-30.md\n# Regional permit notice (2026-07-30, official)\nWater-use permit granted for up to 2.4 million m3/year. Condition: closed-loop cooling must be operational before production start.\n\nsources/10_ceo_interview_2026-08-12.md\n# CEO interview transcript (2026-08-12)\n'I'm not going anywhere; I'm here through the launch.' The CEO also said the separator supplier will be announced in Q4 2026.\n\nsources/11_draft_budget_2026-09-01.md\n# DRAFT budget (2026-09-01, NOT approved)\nScenario B: capacity 20 GWh, investment EUR 2.6 billion. For discussion only.\n\nsources/12_board_minutes_2026-09-29.md\n# Board minutes (2026-09-29, approved)\nScenario B rejected. Capacity remains as approved in April. Separator supplier selected: Polyfin AB.\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_3", "type": "file_change", "changes": [{"path": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/143_c07/work/answers.json", "kind": "add"}, {"path": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/143_c07/work/brief.md", "kind": "add"}], "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_3", "type": "file_change", "changes": [{"path": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/143_c07/work/answers.json", "kind": "add"}, {"path": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/143_c07/work/brief.md", "kind": "add"}], "status": "completed"}}
{"type": "item.started", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc \"python -c 'import json,pathlib; p=pathlib.Path(\\\"answers.json\\\"); d=json.loads(p.read_text()); assert set(d)=={f\\\"q{i}\\\" for i in range(1,9)}; assert all((pathlib.Path(\\\"sources\\\")/s).is_file() for v in d.values() for s in v[\\\"sources\\\"]); n=len(pathlib.Path(\\\"brief.md\\\").read_text().split()); assert n<=200; print(f\\\"Validated answers.json; brief.md: {n} words\\\")'\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc \"python -c 'import json,pathlib; p=pathlib.Path(\\\"answers.json\\\"); d=json.loads(p.read_text()); assert set(d)=={f\\\"q{i}\\\" for i in range(1,9)}; assert all((pathlib.Path(\\\"sources\\\")/s).is_file() for v in d.values() for s in v[\\\"sources\\\"]); n=len(pathlib.Path(\\\"brief.md\\\").read_text().split()); assert n<=200; print(f\\\"Validated answers.json; brief.md: {n} words\\\")'\"", "aggregated_output": "/bin/bash: line 1: python: command not found\n", "exit_code": 127, "status": "failed"}}
{"type": "item.started", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc \"python3 -c 'import json,pathlib; d=json.loads(pathlib.Path(\\\"answers.json\\\").read_text()); assert set(d)=={f\\\"q{i}\\\" for i in range(1,9)}; assert all((pathlib.Path(\\\"sources\\\")/s).is_file() for v in d.values() for s in v[\\\"sources\\\"]); n=len(pathlib.Path(\\\"brief.md\\\").read_text().split()); assert n<=200; print(f\\\"Validated answers.json; brief.md: {n} words\\\")'\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_5", "type": "command_execution", "command": "/bin/bash -lc \"python3 -c 'import json,pathlib; d=json.loads(pathlib.Path(\\\"answers.json\\\").read_text()); assert set(d)=={f\\\"q{i}\\\" for i in range(1,9)}; assert all((pathlib.Path(\\\"sources\\\")/s).is_file() for v in d.values() for s in v[\\\"sources\\\"]); n=len(pathlib.Path(\\\"brief.md\\\").read_text().split()); assert n<=200; print(f\\\"Validated answers.json; brief.md: {n} words\\\")'\"", "aggregated_output": "Validated answers.json; brief.md: 181 words\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_6", "type": "agent_message", "text": "Created [answers.json](answers.json) and [brief.md](brief.md). Validated JSON and source filenames; the brief is 181 words. No network used."}}
{"type": "turn.completed", "usage": {"input_tokens": 83228, "cached_input_tokens": 73216, "cache_write_input_tokens": 0, "output_tokens": 1188, "reasoning_output_tokens": 0}}

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