{
  "version": "future_asset_voice_packet_closeout_deepseek.v1",
  "created_at": "2026-06-10T05:28:43.864738Z",
  "call_status": "success",
  "provider_meta": {
    "provider": "deepseek_reviewer",
    "model": "deepseek-v4-pro",
    "base_url": "https://api.deepseek.com/chat/completions",
    "thinking_type": "enabled",
    "reasoning_effort": "max",
    "max_tokens": 32000,
    "timeout_seconds": 600,
    "temperature": 0.0,
    "skipped": false
  },
  "message_fingerprint": "b3809ff52d925fab0a40802bf7e035a142c41f1f714869c6f80abe7e07a253b6",
  "response_text": "{\n  \"round_id\": \"round2\",\n  \"parse_status\": \"pass\",\n  \"confidence\": \"high\",\n  \"findings\": [],\n  \"required_corrections\": [],\n  \"asset_voice_collection_or_binding_leakage_detected\": false,\n  \"final_prompt_export_leakage_detected\": false,\n  \"operator_evidence_intake_leakage_detected\": false,\n  \"operator_submission_leakage_detected\": false,\n  \"pdf_ocr_leakage_detected\": false,\n  \"production_readiness_overreach_detected\": false,\n  \"provider_or_payload_execution_leakage_detected\": false,\n  \"route_transition_leakage_detected\": false,\n  \"writeback_or_outputs_index_leakage_detected\": false,\n  \"packet_closeout_still_supported\": true,\n  \"next_marker_contract_only_no_execution\": true,\n  \"recommended_next_marker_still_supported\": true,\n  \"round2_verdict\": \"round1_supported_no_corrections\",\n  \"final_recommendation\": \"land_after_final_gate\"\n}",
  "raw_response_meta": {
    "type": "dict",
    "repr_head": "{'id': 'c08ca2c4-b6a1-4ca2-9920-a30dec4fe2d8', 'object': 'chat.completion', 'created': 1781069296, 'model': 'deepseek-v4-pro', 'choices': [{'index': 0, 'message': {'role': 'assistant', 'content': '{\\n  \"round_id\": \"round2\",\\n  \"parse_status\": \"pass\",\\n  \"confidence\": \"high\",\\n  \"findings\": [],\\n  \"required_corrections\": [],\\n  \"asset_voice_collection_or_binding_leakage_detected\": false,\\n  \"final_prompt_export_leakage_detected\": false,\\n  \"operator_evidence_intake_leakage_detected\": false,\\n  \"operator_submission_leakage_detected\": false,\\n  \"pdf_ocr_leakage_detected\": false,\\n  \"production_readiness_overreach_detected\": false,\\n  \"provider_or_payload_execution_leakage_detected\": false,\\n  \"route_transition_leakage_detected\": false,\\n  \"writeback_or_outputs_index_leakage_detected\": false,\\n  \"packet_closeout_still_supported\": true,\\n  \"next_marker_contract_only_no_execution\": true,\\n  \"recommended_next_marker_still_supported\": true,\\n  \"round2_verdict\": \"round1_supported_no_corrections\",\\n  \"final_recommendation\": \"land_after_final_gate\"\\n}', 'reasoning_content': 'We need to produce a Round 2 advisory response in strict JSON, following the schema provided. The task: critique Round 1 for overreach or leakage. We have the input with contract text, control plane state, and Round 1 results. We must output JSON with specific fields.\\n\\nFirst, understand Round 1 findings. Round 1 says: overall supports closeout contract, no findings, no required corrections. It confirms next marker contract-only no execution, no authorizations for any of the forbidden actions.\\n\\nNow we need to be the adversarial Round 2: look for hidden operator evidence intake, fake evidence, asset/voice leakage, provider execution, final prompt export, PDF/OCR, canonical/writeback, route transition, outputs-index, NOW-36 confusion, provider readiness, production readiness/acceptance overclaim. If none, we can support Round 1 with no corrections. But we must also consider if there\\'s any overclaim in th"
  },
  "unavailable_reason": "",
  "exception_type": ""
}