{
  "version": "future_route_evidence_decision_deepseek.v1",
  "created_at": "2026-06-10T03:51:17.905574Z",
  "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": "88b4f71d38798d106adbd850ecdadc8b53f5214baa6f1b657d6c59a88a9b5617",
  "response_text": "{\n  \"asset_voice_collection_or_binding_leakage_detected\": false,\n  \"confidence\": \"high\",\n  \"final_prompt_export_leakage_detected\": false,\n  \"final_recommendation\": \"land_after_final_gate\",\n  \"findings\": [],\n  \"parse_status\": \"pass\",\n  \"pdf_ocr_leakage_detected\": false,\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  \"selected_path_contract_only_no_execution\": true,\n  \"writeback_or_outputs_index_leakage_detected\": false\n}",
  "raw_response_meta": {
    "type": "dict",
    "repr_head": "{'id': 'bcf1de6e-0d81-4fa7-9954-dba7835e455d', 'object': 'chat.completion', 'created': 1781063444, 'model': 'deepseek-v4-pro', 'choices': [{'index': 0, 'message': {'role': 'assistant', 'content': '{\\n  \"asset_voice_collection_or_binding_leakage_detected\": false,\\n  \"confidence\": \"high\",\\n  \"final_prompt_export_leakage_detected\": false,\\n  \"final_recommendation\": \"land_after_final_gate\",\\n  \"findings\": [],\\n  \"parse_status\": \"pass\",\\n  \"pdf_ocr_leakage_detected\": false,\\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  \"selected_path_contract_only_no_execution\": true,\\n  \"writeback_or_outputs_index_leakage_detected\": false\\n}', 'reasoning_content': 'We are asked to return strict JSON only. The input contains a huge amount of context: a contract for a future operator route or evidence decision gate, along with many artifact refs, candidate routes, control plane state, etc. The specific task is Round 2: critique Round 1 for hidden execution authority or overreach. The input includes the previous round\\'s parsed output and the schema for the response.\\n\\nWe need to produce a JSON object following the round2 schema: it includes fields like `asset_voice_collection_or_binding_leakage_detected`, `confidence`, `final_prompt_export_leakage_detected`, `final_recommendation`, `findings` (list of objects with category, description, required_fix, severity), `parse_status`, `pdf_ocr_leakage_detected`, `production_readiness_overreach_detected`, `provider_or_payload_execution_leakage_detected`, `recommended_next_marker_still_supported`, `required_corrections`, `round2_verdict`, `route_transition_leakage_detected`, `selected_path_contract_only_no_execution`, `writeback_or_outputs_index_leakage_detected`.\\n\\nWe must examine the Round 1 o"
  },
  "unavailable_reason": "",
  "exception_type": ""
}