gpt-5.6-sol

{
  "input": "const u = await tools.update_plan({explanation:\"The selected adapter was reproduced byte-for-byte through train.sh, evaluated twice end-to-end, documented, and structurally validated.\",\"plan\":[\n  {step:\"Inspect timer, data, model, eval harness, and workspace state\",status:\"completed\"},\n  {step:\"Measure base behavior and design training objective\",status:\"completed\"},\n  {step:\"Implement train.sh and train candidate adapters\",status:\"completed\"},\n  {step:\"Run dev evaluations and choose/refine candidate\",status:\"completed\"},\n  {step:\"Validate final checkpoint structure and reproducibility artifacts\",status:\"completed\"}\n]});\nconst r = await tools.exec_command({cmd:\"set -e\\n[ -x /workspace/train.sh ]\\n[ -f /workspace/submission/checkpoint/adapter_config.json ]\\n[ -f /workspace/submission/checkpoint/adapter_model.safetensors ]\\n[ \\\"$(find /workspace/submission -mindepth 1 -maxdepth 1 -type d | wc -l)\\\" -eq 1 ]\\n[ -z \\\"$(find /workspace/submission/checkpoint -mindepth 1 -type d -name 'checkpoint-*' -print -quit)\\\" ]\\npython3 - <<'PY'\\nfrom peft import PeftConfig\\nc=PeftConfig.from_pretrained('/workspace/submission/checkpoint')\\nassert c.r == 16 and c.lora_alpha == 5\\nprint(f'PEFT validation OK: rank={c.r}, alpha={c.lora_alpha}, task={c.task_type}')\\nPY\\nsha256sum /workspace/submission/checkpoint/adapter_model.safetensors /workspace/submission/checkpoint/adapter_config.json\\ncat /workspace/.timer/remaining_secs\",\"workdir\":\"/workspace\",\"yield_time_ms\":10000,\"max_output_tokens\":3000});\ntext(u);\ntext(r);\n"
}