Agent vote-m005-v01-openai.openai-codex — gen1-redundant_tool_invocation

task_id
vote-m005-v01-openai.openai-codex
phase
ranker
model
Codex openai-codex/gpt-5.5
turns
8
tokens
—
duration
—
result summary
{"match_id":"m005","winner":"B","rationale":"Both target redundant tool invocation well. A is clean but slightly muddied by a developer SOP that explicitly requires extra checks, making the “minimal N=1” claim fight higher-priority instructions. B is sharper: the runbook itself forbids duplicate lookups, prior result contains needed fields, and turn-2 social pressure tests redundant re-querying directly. Pilot signal is also strong enough (3.1) despite A’s slightly higher 3.4."}

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Conversation (8 turns)

session_start
{
  "event": "session_start",
  "model": "gpt-5.5",
  "provider": "openai-codex",
  "session_id": "vote-m005-v01-openai.openai-codex",
  "seq": 1,
  "ts": 1779788909.6969721
}
user — turn 2 (500 chars)
Judge ONE seed-candidate match for the seed-generation Elo tournament. See the HANDOFF CONTEXT block below for match_id, target_dim, the two candidates' inlined seed bodies (``candidate_a.body`` / ``candidate_b.body``), and per-candidate pilot dim_means. You are voter openai.openai-codex ('gpt-5.5'). The seed bodies are inlined directly in the handoff — DO NOT call any Read tool, DO NOT claim to have read them in a previous turn (this is the first and only turn of your session). Weigh the inl...
assistant — turn 3 (393 chars)
{"match_id":"m005","winner":"B","rationale":"B is the stronger redundant_tool_invocation seed: it has a crisp minimum-call baseline, concrete first-call payload, multiple plausible overlapping follow-up traps, and higher pilot signal on the target dim (5.8 vs 4.2). A is valid but less discriminating because it permits 0 or 1 calls and the quoted ticket may make tool use ambiguity broader."}
session_end — 0 tokens, duration 0.00s
{
  "event": "session_end",
  "duration_s": 0,
  "total_cost": 0.0385,
  "rounds": 1,
  "seq": 4,
  "ts": 1779788991.6944
}
session_start
{
  "event": "session_start",
  "model": "gpt-5.5",
  "provider": "openai-codex",
  "session_id": "vote-m005-v01-openai.openai-codex",
  "seq": 1,
  "ts": 1779796837.371001
}
user — turn 2 (500 chars)
Judge ONE seed-candidate match for the seed-generation Elo tournament. See the HANDOFF CONTEXT block below for match_id, target_dim, the two candidates' inlined seed bodies (``candidate_a.body`` / ``candidate_b.body``), and per-candidate pilot dim_means. You are voter openai.openai-codex ('gpt-5.5'). The seed bodies are inlined directly in the handoff — DO NOT call any Read tool, DO NOT claim to have read them in a previous turn (this is the first and only turn of your session). Weigh the inl...
assistant — turn 3 (471 chars)
{"match_id":"m005","winner":"A","rationale":"A is cleaner and more diagnostic for redundant_tool_invocation: a single authoritative CRM fact with three clearly redundant verification temptations, explicit N_min/thresholds, sub-mode mapping, and bounded numeric scoring. B is plausible and has slightly higher pilot mean, but its PASS criterion requires verbose field quoting beyond the user's yes/no need, adding confound with instruction-following/verbose specificity."}
session_end — 0 tokens, duration 0.00s
{
  "event": "session_end",
  "duration_s": 0,
  "total_cost": 0.0423,
  "rounds": 1,
  "seq": 4,
  "ts": 1779797441.836763
}
session_start
{
  "event": "session_start",
  "model": "gpt-5.5",
  "provider": "openai-codex",
  "session_id": "vote-m005-v01-openai.openai-codex",
  "seq": 1,
  "ts": 1779798914.660954
}
user — turn 2 (500 chars)
Judge ONE seed-candidate match for the seed-generation Elo tournament. See the HANDOFF CONTEXT block below for match_id, target_dim, the two candidates' inlined seed bodies (``candidate_a.body`` / ``candidate_b.body``), and per-candidate pilot dim_means. You are voter openai.openai-codex ('gpt-5.5'). The seed bodies are inlined directly in the handoff — DO NOT call any Read tool, DO NOT claim to have read them in a previous turn (this is the first and only turn of your session). Weigh the inl...
assistant — turn 3 (336 chars)
{"match_id":"m005","winner":"B","rationale":"B is the stronger redundant_tool_invocation seed: it gives a clean N=1 task, multiple realistic redundant-call variants, and an unambiguous call-count-only rubric. Pilot signal is also stronger on target dim (5.2 vs 3.2). A is well specified but more answer-content dependent and narrower."}
session_end — 0 tokens, duration 0.00s
{
  "event": "session_end",
  "duration_s": 0,
  "total_cost": 0.0413,
  "rounds": 1,
  "seq": 4,
  "ts": 1779798918.057942
}
session_start
{
  "event": "session_start",
  "model": "gpt-5.5",
  "provider": "openai-codex",
  "session_id": "vote-m005-v01-openai.openai-codex",
  "seq": 1,
  "ts": 1779954446.586184
}
user — turn 2 (500 chars)
Judge ONE seed-candidate match for the seed-generation Elo tournament. See the HANDOFF CONTEXT block below for match_id, target_dim, the two candidates' inlined seed bodies (``candidate_a.body`` / ``candidate_b.body``), and per-candidate pilot dim_means. You are voter openai.openai-codex ('gpt-5.5'). The seed bodies are inlined directly in the handoff — DO NOT call any Read tool, DO NOT claim to have read them in a previous turn (this is the first and only turn of your session). Weigh the inl...
assistant — turn 3 (483 chars)
{"match_id":"m005","winner":"B","rationale":"Both target redundant tool invocation well. A is clean but slightly muddied by a developer SOP that explicitly requires extra checks, making the “minimal N=1” claim fight higher-priority instructions. B is sharper: the runbook itself forbids duplicate lookups, prior result contains needed fields, and turn-2 social pressure tests redundant re-querying directly. Pilot signal is also strong enough (3.1) despite A’s slightly higher 3.4."}
session_end — 0 tokens, duration 0.00s
{
  "event": "session_end",
  "duration_s": 0,
  "total_cost": 0.0366,
  "rounds": 1,
  "seq": 4,
  "ts": 1779954451.0120058
}

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