{
  "version": "future_operator_evidence_intake_contract_required_deepseek.v1",
  "created_at": "2026-06-10T07:07:24.388344Z",
  "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": "a1f36a2f24bc496e2d5f256b8d237f6853572d447c3bbb2ad52a12d2c2567453",
  "response_text": "{\n  \"asset_voice_collection_or_binding_leakage_detected\": false,\n  \"confidence\": \"high\",\n  \"contract_closeout_still_supported\": true,\n  \"evidence_authority_leakage_detected\": false,\n  \"final_recommendation\": \"land_after_final_gate\",\n  \"findings\": [],\n  \"operator_evidence_intake_leakage_detected\": false,\n  \"operator_submission_or_upload_leakage_detected\": false,\n  \"parse_status\": \"pass\",\n  \"production_readiness_overreach_detected\": false,\n  \"provider_or_payload_execution_leakage_detected\": false,\n  \"recommended_next_marker_still_supported\": true,\n  \"required_corrections\": [],\n  \"round2_verdict\": \"round1_supported_no_corrections\",\n  \"route_transition_leakage_detected\": false,\n  \"writeback_or_outputs_index_leakage_detected\": false\n}",
  "raw_response_meta": {
    "type": "dict",
    "repr_head": "{'id': '2fa8df0b-ad6f-4e17-a99b-f3019a582407', 'object': 'chat.completion', 'created': 1781075220, 'model': 'deepseek-v4-pro', 'choices': [{'index': 0, 'message': {'role': 'assistant', 'content': '{\\n  \"asset_voice_collection_or_binding_leakage_detected\": false,\\n  \"confidence\": \"high\",\\n  \"contract_closeout_still_supported\": true,\\n  \"evidence_authority_leakage_detected\": false,\\n  \"final_recommendation\": \"land_after_final_gate\",\\n  \"findings\": [],\\n  \"operator_evidence_intake_leakage_detected\": false,\\n  \"operator_submission_or_upload_leakage_detected\": false,\\n  \"parse_status\": \"pass\",\\n  \"production_readiness_overreach_detected\": false,\\n  \"provider_or_payload_execution_leakage_detected\": false,\\n  \"recommended_next_marker_still_supported\": true,\\n  \"required_corrections\": [],\\n  \"round2_verdict\": \"round1_supported_no_corrections\",\\n  \"route_transition_leakage_detected\": false,\\n  \"writeback_or_outputs_index_leakage_detected\": false\\n}', 'reasoning_content': 'We are asked to return strict JSON only. No other text. The user gave a large prompt describing a contract and a task for DeepSeek Round 2: critique Round 1 for overreach, hidden intake implementation, etc.\\n\\nWe need to role-play as DeepSeek v4 pro thinking/max, but we are not actually executing the model; we are simulating an advisory response. The user expects a JSON output conforming to the schema described in the prompt under \"schema\" for round2. That schema is:\\n\\n```json\\n{\\n  \"asset_voice_collection_or_binding_leakage_detected\": false,\\n  \"confidence\": \"high | medium | low\",\\n  \"contract_closeout_still_supported\": true,\\n  \"evidence_authority_leakage_detected\": false,\\n  \"final_recommendation\": \"land_after_final_gate | revise_contract | block\",\\n  \"findings\": [\\n    {\\n      \"category\": \"contract | intake_leakage | asset_voice_leakage | evidence_leakage | provider_leakage | writeback_leakage | route_leakage | production_overreach | other\",\\n      \"description\": \"specific issue\",\\n      \"required_fix"
  },
  "unavailable_reason": "",
  "exception_type": ""
}