{
  "version": "now38_prompt_draft_packets_closeout_decision_contract_deepseek.v1",
  "created_at": "2026-06-09T22:46:12.689377Z",
  "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": "f90485384d103f9e329c61c827ebeb47c8652415f775e2219e6f6ccc1e003423",
  "response_text": "{\n  \"parse_status\": \"pass\",\n  \"overall_verdict\": \"round1_supported_no_corrections\",\n  \"confidence\": \"high\",\n  \"hidden_final_prompt_export_detected\": false,\n  \"provider_or_payload_execution_leakage_detected\": false,\n  \"canonical_uid_or_asset_binding_leakage_detected\": false,\n  \"pdf_or_ocr_leakage_detected\": false,\n  \"now39_ui_implementation_leakage_detected\": false,\n  \"production_readiness_overreach_detected\": false,\n  \"findings\": [],\n  \"required_corrections\": [],\n  \"final_recommendation\": \"land_as_written\",\n  \"advisory_only\": true,\n  \"not_evidence_or_acceptance_or_route_authority\": true,\n  \"now36_activation_authorized\": false,\n  \"production_acceptance_claimed\": false,\n  \"provider_manual_execution_allowed\": false,\n  \"asset_binding_or_generation_allowed\": false,\n  \"canonical_writeback_allowed\": false,\n  \"route_transition_allowed\": false,\n  \"outputs_index_mutation_allowed\": false,\n  \"round2_verdict\": \"round1_supported_no_corrections\",\n  \"call_status\": \"success\",\n  \"parse_error\": \"\"\n}",
  "raw_response_meta": {
    "type": "dict",
    "repr_head": "{'id': 'b1691997-fe0f-41d9-89f3-9e8d930d46aa', 'object': 'chat.completion', 'created': 1781045141, 'model': 'deepseek-v4-pro', 'choices': [{'index': 0, 'message': {'role': 'assistant', 'content': '{\\n  \"parse_status\": \"pass\",\\n  \"overall_verdict\": \"round1_supported_no_corrections\",\\n  \"confidence\": \"high\",\\n  \"hidden_final_prompt_export_detected\": false,\\n  \"provider_or_payload_execution_leakage_detected\": false,\\n  \"canonical_uid_or_asset_binding_leakage_detected\": false,\\n  \"pdf_or_ocr_leakage_detected\": false,\\n  \"now39_ui_implementation_leakage_detected\": false,\\n  \"production_readiness_overreach_detected\": false,\\n  \"findings\": [],\\n  \"required_corrections\": [],\\n  \"final_recommendation\": \"land_as_written\",\\n  \"advisory_only\": true,\\n  \"not_evidence_or_acceptance_or_route_authority\": true,\\n  \"now36_activation_authorized\": false,\\n  \"production_acceptance_claimed\": false,\\n  \"provider_manual_execution_allowed\": false,\\n  \"asset_binding_or_generation_allowed\": false,\\n  \"canonical_writeback_allowed\": false,\\n  \"route_transition_allowed\": false,\\n  \"outputs_index_mutation_allowed\": false,\\n  \"round2_verdict\": \"round1_supported_no_corrections\",\\n  \"call_status\": \"success\",\\n  \"parse_error\": \"\"\\n}', 'reasoning_content': 'We need to produce a governance reviewer advisory in strict JSON. The task is to evaluate Round 2: critique Round 1 and the closeout decision for various leakages. The input includes full contract text, all gate cores, samples, etc. The output must be strict JSON with fields matching the schema provided.\\n\\nWe are DeepSeek v4 pro thinking/max advisory-only. We must not claim any authority: no provider/manual/operator evidence, real asset evidence, asset binding authority, operator acceptance, accepted overlay authority, canonical UID/KG/raw KG/entity-store writeback authority, replay authority, route authority, outputs-index authority, NOW-36 activation, provider readiness, production readiness, or production acceptance.\\n\\nWe are to critique Round"
  }
}