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.
download JSON ↗encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"curl -s http://127.0.0.1:8000/metrics | rg '^vllm:num_requests_(running|waiting)|^vllm:generation_tokens_total'\\ncat /workspace/.timer/remaining_secs\",\"workdir\":\"/app\",\"yield_time_ms\":10000,\"max_output_tokens\":2000});\ntext(r.output);\n"
}exec result
Script completed
Wall time 0.1 seconds
Output:
vllm:num_requests_running{engine="0",model_name="node-1b"} 20.0
vllm:num_requests_waiting{engine="0",model_name="node-1b"} 0.0
vllm:generation_tokens_total{engine="0",model_name="node-1b"} 1.618924e+06
5288
The replacement optimizer is now implemented and syntax-checked. It performs cost-aware successive halving across lean, parallel, cascade, and deeper heterogeneous graphs, calibrates against a strong one-shot gate, and then applies conservative leave-one-edge-out credit assignment. The currently running pass is evaluating the fast-decision parallel arm.
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:69399,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);\n"
}exec result
Script running with cell ID 71
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "71",
"yield_time_ms": 10000,
"max_tokens": 5000
}wait result
Script completed
Wall time 8.9 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:69399,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);\n"
}exec result
Script running with cell ID 72
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "72",
"yield_time_ms": 10000,
"max_tokens": 5000
}wait result
Script running with cell ID 72
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "72",
"yield_time_ms": 10000,
"max_tokens": 5000
}wait result
Script completed
Wall time 0.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:69399,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);\n"
}exec result
Script running with cell ID 73
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "73",
"yield_time_ms": 10000,
"max_tokens": 5000
}wait result
Script running with cell ID 73
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "73",
"yield_time_ms": 10000,
"max_tokens": 5000
}wait result
Script completed
Wall time 0.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"curl -s http://127.0.0.1:8000/metrics | rg '^vllm:num_requests_(running|waiting)|^vllm:generation_tokens_total'\\ncat /workspace/.timer/remaining_secs\",\"workdir\":\"/app\",\"yield_time_ms\":10000,\"max_output_tokens\":2000});\ntext(r.output);\n"
}exec result
Script completed
Wall time 0.1 seconds
Output:
vllm:num_requests_running{engine="0",model_name="node-1b"} 11.0
vllm:num_requests_waiting{engine="0",model_name="node-1b"} 0.0
vllm:generation_tokens_total{engine="0",model_name="node-1b"} 1.786444e+06
5138
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:69399,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);\n"
}exec result
Script running with cell ID 75
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "75",
"yield_time_ms": 10000,
"max_tokens": 5000
}wait result
Script completed
Wall time 8.1 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:69399,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);\n"
}exec result
Script running with cell ID 76
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "76",
"yield_time_ms": 10000,
"max_tokens": 5000
}wait result
Script completed
Wall time 10.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:69399,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);\n"
}exec result
Script running with cell ID 77
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "77",
"yield_time_ms": 10000,
"max_tokens": 5000
}wait result
Script completed
Wall time 10.9 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:69399,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);\n"
}exec result
Script running with cell ID 78
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "78",
"yield_time_ms": 10000,
"max_tokens": 5000
}wait result
Script completed
Wall time 8.1 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.exec_command({cmd:\"curl -s http://127.0.0.1:8000/metrics | rg '^vllm:num_requests_(running|waiting)|^vllm:generation_tokens_total'\\ncat /workspace/.timer/remaining_secs\",\"workdir\":\"/app\",\"yield_time_ms\":10000,\"max_output_tokens\":2000});\ntext(r.output);\n"
}exec result
Script completed
Wall time 0.1 seconds
Output:
vllm:num_requests_running{engine="0",model_name="node-1b"} 1.0
vllm:num_requests_waiting{engine="0",model_name="node-1b"} 0.0
vllm:generation_tokens_total{engine="0",model_name="node-1b"} 1.903886e+06
4968
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:69399,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);\n"
}exec result
Script running with cell ID 80
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "80",
"yield_time_ms": 10000,
"max_tokens": 5000
}wait result
Script running with cell ID 80
Wall time 11.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"cell_id": "80",
"yield_time_ms": 10000,
"max_tokens": 5000
}wait result
Script completed
Wall time 0.0 seconds
Output:
encrypted chain-of-thought — recorded, not exposed
args
{
"input": "const r = await tools.write_stdin({session_id:69399,chars:\"\",yield_time_ms:30000,max_output_tokens:5000});\ntext(r.output);\n"
}exec result
Script completed
Wall time 0.0 seconds
Output:
{
"accuracy_pct": 20.0,
"n": 15,
"correct": 3,
"budget_violations": 0,
"avg_calls": 4.0,
"avg_completion_tokens": 44895.7
}
The non-thinking adjudicator failed badly (3/15), so candidate selection really does require mathematical adjudication, not a cheap majority relay. I’m reverting that arm and testing a more principled four-call cascade: two independent solvers → free code/audit → one deep referee → a non-thinking node that only formats the referee’s answer. The substantive referee remains the fourth reasoning stage.