{
  "version": "future_operator_evidence_intake_contract_required_deepseek.v1",
  "created_at": "2026-06-10T07:06:41.119149Z",
  "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": "8d1469db1ddf81225c794d55aec2b326a0f8a52a83f062b09c143e8afaaa98c0",
  "response_text": "{\n  \"overall_verdict\": \"supports_contract\",\n  \"parse_status\": \"pass\",\n  \"findings\": [],\n  \"confidence\": \"high\",\n  \"contract_closeout_supported\": true,\n  \"next_marker_blocked_no_execution\": true,\n  \"recommended_next_marker\": \"remain_blocked_pending_operator_inputs_no_execution\",\n  \"required_corrections\": [],\n  \"operator_evidence_intake_authorized\": false,\n  \"operator_submission_authorized\": false,\n  \"operator_upload_authorized\": false,\n  \"asset_or_voice_collection_authorized\": false,\n  \"asset_or_voice_binding_authorized\": false,\n  \"provider_execution_authorized\": false,\n  \"writeback_or_outputs_index_authorized\": false,\n  \"now36_activation_authorized\": false,\n  \"production_acceptance_authorized\": false\n}",
  "raw_response_meta": {
    "type": "dict",
    "repr_head": "{'id': 'cf2f762b-5c42-442d-b15a-a3d144cee060', 'object': 'chat.completion', 'created': 1781075139, 'model': 'deepseek-v4-pro', 'choices': [{'index': 0, 'message': {'role': 'assistant', 'content': '{\\n  \"overall_verdict\": \"supports_contract\",\\n  \"parse_status\": \"pass\",\\n  \"findings\": [],\\n  \"confidence\": \"high\",\\n  \"contract_closeout_supported\": true,\\n  \"next_marker_blocked_no_execution\": true,\\n  \"recommended_next_marker\": \"remain_blocked_pending_operator_inputs_no_execution\",\\n  \"required_corrections\": [],\\n  \"operator_evidence_intake_authorized\": false,\\n  \"operator_submission_authorized\": false,\\n  \"operator_upload_authorized\": false,\\n  \"asset_or_voice_collection_authorized\": false,\\n  \"asset_or_voice_binding_authorized\": false,\\n  \"provider_execution_authorized\": false,\\n  \"writeback_or_outputs_index_authorized\": false,\\n  \"now36_activation_authorized\": false,\\n  \"production_acceptance_authorized\": false\\n}', 'reasoning_content': 'We need to produce a JSON response. The user input provides a lot of context: contract text, control plane state, source closeout core, source packet core, now36 core, etc. The task is to evaluate the future operator evidence intake contract (Round 1 DeepSeek advisory). We need to respond with an advisory consultation result following the schema provided: overall_verdict, parse_status, findings, confidence, required_corrections, and all those boolean flags about authorization.\\n\\nWe must be careful: we are acting as DeepSeek advisory, not as a route authority or production system. We must not claim evidence, acceptance, route, writeback, replay, outputs-index, provider readiness, NOW-36 activation, or production authority.\\n\\nWe need to analyze the contract text and surrounding evidence to determine if the contract correctly defines schemas and validators for future intake while blocking any actual intake/execution now. The contract itself is explicit about its boundaries. We must check if there are any leaks: does the contract inadv"
  },
  "unavailable_reason": "",
  "exception_type": ""
}