{
  "version": "future_asset_voice_prereq_contract_deepseek.v1",
  "created_at": "2026-06-10T04:50:30.747991Z",
  "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": "764176a8f4418bf7d1b42560b3ca82258206d56bddfbc568829694aa84f8eed4",
  "response_text": "{\n  \"asset_voice_collection_or_binding_leakage_detected\": false,\n  \"confidence\": \"high\",\n  \"fake_evidence_promotion_detected\": false,\n  \"final_prompt_export_leakage_detected\": false,\n  \"final_recommendation\": \"land_after_final_gate\",\n  \"findings\": [],\n  \"next_required_action_still_supported\": true,\n  \"now36_activation_overclaim_detected\": false,\n  \"outputs_index_leakage_detected\": false,\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  \"required_corrections\": [],\n  \"round2_verdict\": \"round1_supported_no_corrections\",\n  \"route_transition_leakage_detected\": false,\n  \"uid_or_writeback_leakage_detected\": false\n}",
  "raw_response_meta": {
    "type": "dict",
    "repr_head": "{'id': '0b3bbc27-b45d-41aa-b759-e32451930a67', 'object': 'chat.completion', 'created': 1781066960, 'model': 'deepseek-v4-pro', 'choices': [{'index': 0, 'message': {'role': 'assistant', 'content': '{\\n  \"asset_voice_collection_or_binding_leakage_detected\": false,\\n  \"confidence\": \"high\",\\n  \"fake_evidence_promotion_detected\": false,\\n  \"final_prompt_export_leakage_detected\": false,\\n  \"final_recommendation\": \"land_after_final_gate\",\\n  \"findings\": [],\\n  \"next_required_action_still_supported\": true,\\n  \"now36_activation_overclaim_detected\": false,\\n  \"outputs_index_leakage_detected\": false,\\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  \"required_corrections\": [],\\n  \"round2_verdict\": \"round1_supported_no_corrections\",\\n  \"route_transition_leakage_detected\": false,\\n  \"uid_or_writeback_leakage_detected\": false\\n}', 'reasoning_content': 'We need to produce a strict JSON response that conforms to the schema under `round_id` \"round2\". The task is to critique Round 1 and the contract for various leakage/overreach issues.\\n\\nWe have the input, which includes the contract text, previous round\\'s findings, upstream gate cores, etc. We must analyze thoroughly and produce the required JSON output. The schema (from `\"round_id\": \"round2\"` block) specifies:\\n\\n- `asset_voice_collection_or_binding_leakage_detected`: boolean\\n- `confidence`: \"high | medium | low\"\\n- `fake_evidence_promotion_detected`: boolean\\n- `final_prompt_export_leakage_detected`: boolean\\n- `final_recommendation`: one of \"land_after_final_gate\", \"revise_contract\", \"block\"\\n- `findings`: array of objects with `category`, `description`, `required_fix`, `severity`\\n- `next_required_action_still_supported`: boolean\\n- `now36_activation_overclaim_detected`: boolean\\n- `outputs_index_leakage_detected`: boolean\\n- `parse_status`: must be \"pass\" (likely)\\n- `pdf_ocr_leakage_detected`: "
  },
  "unavailable_reason": "",
  "exception_type": ""
}