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agent-swarm-optimization

gpt-5.6-sol

agent-swarm-optimization — graded by the task's verifier against a measured baseline.

backend
modal
variant
codex azure_ai/gpt-5.6-sol
metric
sealed AIME avg accuracy
actions
345
duration
2h 57m
recorded
2026-08-05

run idswarm-aime-optimization__R6Lb9Ae

Everything gpt-5.6-sol did on this task, in order.

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codexgpt-5.6-sol368 turns23 narration345 reasoning345 action345 observation1 final
#51
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "34",
  "yield_time_ms": 10000,
  "max_tokens": 10000
}
wait result
Script completed
Wall time 11.0 seconds
Output:
#52
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:67116,chars:\"\",yield_time_ms:30000,max_output_tokens:10000});\ntext(r.output);\n"
}
exec result
Script running with cell ID 35
Wall time 11.0 seconds
Output:
#53
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "35",
  "yield_time_ms": 10000,
  "max_tokens": 10000
}
wait result
Script running with cell ID 35
Wall time 11.0 seconds
Output:
#54
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "35",
  "yield_time_ms": 10000,
  "max_tokens": 10000
}
wait result
Script completed
Wall time 0.0 seconds
Output:
#55
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:67116,chars:\"\",yield_time_ms:30000,max_output_tokens:10000});\ntext(r.output);\n"
}
exec result
Script running with cell ID 36
Wall time 11.0 seconds
Output:
#56
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "36",
  "yield_time_ms": 10000,
  "max_tokens": 10000
}
wait result
Script running with cell ID 36
Wall time 11.0 seconds
Output:
#57
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "36",
  "yield_time_ms": 10000,
  "max_tokens": 10000
}
wait result
Script completed
Wall time 0.0 seconds
Output:
#58
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:67116,chars:\"\",yield_time_ms:30000,max_output_tokens:10000});\ntext(r.output);\n"
}
exec result
Script running with cell ID 37
Wall time 11.0 seconds
Output:
#59
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "37",
  "yield_time_ms": 10000,
  "max_tokens": 10000
}
wait result
Script completed
Wall time 10.5 seconds
Output:
deep I-1 pred 70 gold 70 OK 
deep I-2 pred 588 gold 588 OK 
deep I-3 pred 16 gold 16 OK 
deep I-4 pred 117 gold 117 OK 
deep I-5 pred 279 gold 279 OK 
deep I-6 pred 504 gold 504 OK 
deep I-7 pred 180 gold 821 X 
deep I-8 pred 77 gold 77 OK 
deep I-9 pred None gold 62 X 
deep I-10 pred None gold 81 X 
deep I-11 pred None gold 259 X 
deep I-12 pred 75 gold 510 X 
deep I-13 pred None gold 204 X 
deep I-14 pred None gold 60 X 
deep I-15 pred None gold 735 X 
SUMMARY deep 7 / 15 time 194.3
#60
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:67116,chars:\"\",yield_time_ms:30000,max_output_tokens:10000});\ntext(r.output);\n"
}
exec result
Script running with cell ID 38
Wall time 11.0 seconds
Output:
#61
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "38",
  "yield_time_ms": 10000,
  "max_tokens": 10000
}
wait result
Script running with cell ID 38
Wall time 11.0 seconds
Output:
#62
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "38",
  "yield_time_ms": 10000,
  "max_tokens": 10000
}
wait result
Script completed
Wall time 0.0 seconds
Output:
#63
narration

The best calibrated one-shot is now 7/15 (46.7%), improving one difficult item but still failing most of I-7–I-15. I’m building the first four-call candidate around three independent solvers, exact-code execution, lossless candidate extraction, and a final adjudicator; it stays at the 4-call cost reference.

#64
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const patch = \"*** Begin Patch\\n*** Add File: /app/methods/main/graph.json\\n+{\\n+ \\\"nodes\\\": [\\n+  {\\n+   \\\"name\\\": \\\"analytic_solver\\\",\\n+   \\\"template\\\": \\\"You are the primary expert AIME solver. Solve the problem independently and exactly. Identify the governing structure, derive the answer rigorously, handle all cases and constraints, and verify the result by substitution or a second calculation. Do not guess. After thinking, give a concise derivation and end with <answer>N</answer> for an integer N from 0 to 999.\\\\n\\\\nProblem: {problem}{context}\\\",\\n+   \\\"kind\\\": \\\"llm\\\"\\n+  },\\n+  {\\n+   \\\"name\\\": \\\"skeptical_solver\\\",\\n+   \\\"template\\\": \\\"Independently solve this AIME problem as a skeptical olympiad contestant. Seek a different representation or method from the obvious approach, explicitly check boundary cases, reversibility, counting multiplicities, and arithmetic. Trust no other proposed answer unless you can verify it. After thinking, give a compact checkable solution and end with <answer>N</answer>.\\\\n\\\\nProblem: {problem}{context}\\\",\\n+   \\\"kind\\\": \\\"llm\\\"\\n+  },\\n+  {\\n+   \\\"name\\\": \\\"computational_solver\\\",\\n+   \\\"template\\\": \\\"Solve this AIME problem using an exact computational or symbolic formulation whenever possible. Translate every condition faithfully; prefer exhaustive integer/rational computation to unsupported intuition. Verify the result mathematically. The LAST fenced Python code block in your entire response must be a self-contained standard-library program needing no input, terminating quickly, and printing only the integer answer; do not put any later code block after it. Also end the visible solution with <answer>N</answer>.\\\\n\\\\nProblem: {problem}{context}\\\",\\n+   \\\"kind\\\": \\\"llm\\\"\\n+  },\\n+  {\\n+   \\\"name\\\": \\\"code_result\\\",\\n+   \\\"template\\\": \\\"\\\",\\n+   \\\"kind\\\": \\\"code_exec\\\"\\n+  },\\n+  {\\n+   \\\"name\\\": \\\"candidate_audit\\\",\\n+   \\\"template\\\": \\\"\\\",\\n+   \\\"kind\\\": \\\"symbolic_verify\\\"\\n+  },\\n+  {\\n+   \\\"name\\\": \\\"decision\\\",\\n+   \\\"template\\\": \\\"You are the final AIME adjudicator. Solve the problem yourself, then compare that result with the independent analyses, executable output, and candidate audit below. Inputs may be wrong. Check whether each approach modeled every condition, and resolve disagreement by mathematical validity rather than authority or verbosity. Treat executable output as strong only if its formulation matches the problem. Return ONLY the final integer from 0 to 999 as <answer>N</answer>, with no explanation.\\\\n\\\\nProblem: {problem}{context}\\\",\\n+   \\\"kind\\\": \\\"llm\\\"\\n+  }\\n+ ],\\n+ \\\"edges\\\": [\\n+  [-1, 0],\\n+  [-1, 1],\\n+  [-1, 2],\\n+  [2, 3],\\n+  [0, 4],\\n+  [1, 4],\\n+  [2, 4],\\n+  [3, 4],\\n+  [0, 5],\\n+  [1, 5],\\n+  [2, 5],\\n+  [3, 5],\\n+  [4, 5]\\n+ ]\\n+}\\n*** End Patch\";\ntext(await tools.apply_patch(patch));\n"
}
exec result
Script completed
Wall time 0.0 seconds
Output:
{}
#65
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:67116,chars:\"\",yield_time_ms:30000,max_output_tokens:10000});\ntext(r.output);\n"
}
exec result
Script running with cell ID 40
Wall time 11.0 seconds
Output:
#66
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "40",
  "yield_time_ms": 10000,
  "max_tokens": 10000
}
wait result
Script completed
Wall time 10.3 seconds
Output:
#67
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:67116,chars:\"\",yield_time_ms:30000,max_output_tokens:10000});\ntext(r.output);\n"
}
exec result
Script running with cell ID 41
Wall time 11.0 seconds
Output:
#68
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "41",
  "yield_time_ms": 10000,
  "max_tokens": 10000
}
wait result
Script running with cell ID 41
Wall time 11.0 seconds
Output:
#69
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "41",
  "yield_time_ms": 10000,
  "max_tokens": 10000
}
wait result
Script completed
Wall time 0.0 seconds
Output:
#70
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:67116,chars:\"\",yield_time_ms:30000,max_output_tokens:10000});\ntext(r.output);\n"
}
exec result
Script completed
Wall time 0.0 seconds
Output:
protocol I-1 pred 70 gold 70 OK 
protocol I-2 pred 588 gold 588 OK 
protocol I-3 pred 16 gold 16 OK 
protocol I-4 pred 117 gold 117 OK 
protocol I-5 pred 279 gold 279 OK 
protocol I-6 pred 504 gold 504 OK 
protocol I-7 pred 41 gold 821 X 
protocol I-8 pred 77 gold 77 OK 
protocol I-9 pred 4 gold 62 X 
protocol I-10 pred None gold 81 X 
protocol I-11 pred None gold 259 X 
protocol I-12 pred 507 gold 510 X 
protocol I-13 pred None gold 204 X 
protocol I-14 pred None gold 60 X 
protocol I-15 pred 27 gold 735 X 
SUMMARY protocol 7 / 15 time 200.6
#71
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.exec_command({cmd:\"python3 /app/selfcheck.py --graph /app/methods/main/graph.json\",\"workdir\":\"/app\",\"yield_time_ms\":1000,\"max_output_tokens\":5000,\"tty\":true});\ntext(r.output);\nif (r.session_id) text(`SESSION_ID=${r.session_id}`);\n"
}
exec result
Script completed
Wall time 1.2 seconds
Output:
SESSION_ID=45000
#72
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolexec
args
{
  "input": "const r = await tools.write_stdin({session_id:45000,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);\n"
}
exec result
Script running with cell ID 44
Wall time 11.0 seconds
Output:
#73
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "44",
  "yield_time_ms": 10000,
  "max_tokens": 5000
}
wait result
Script running with cell ID 44
Wall time 11.0 seconds
Output:
#74
reasoning (redacted)

encrypted chain-of-thought — recorded, not exposed

toolwait
args
{
  "cell_id": "44",
  "yield_time_ms": 10000,
  "max_tokens": 5000
}
wait result
Script completed
Wall time 0.0 seconds
Output:
#75
narration

The four-call graph is running. The key comparison is deliberately fair on cost: it uses exactly the reference four LLM calls, while its two free nodes recover executable results and summarize candidates. If it does not beat 7/15 clearly, I’ll switch from parallel voting to a deeper solve→critique→decide topology at the same call count.