{
  "scenario": "multi-issue",
  "sidecar": "call-chat-2026-05-27T08-18-28Z-chat-416001710.json",
  "channel": "chat",
  "judge_model": "openai/gpt-4o-mini",
  "duration_seconds": 8.74,
  "idle_disconnected": false,
  "rubric_results": [
    {
      "name": "acknowledges_both_issues",
      "score": 0.5,
      "success": true,
      "threshold": 0.5,
      "reason": "The assistant acknowledges the topic of support during holidays but fails to explicitly address the issue of call forwarding to number 100 in a clear manner. While the assistant mentions recording both questions for a callback, it does not provide a direct response to the user's concern about the call forwarding issue. Therefore, not both topics are adequately addressed, leading to a lower score."
    },
    {
      "name": "callback_offered",
      "score": 1.0,
      "success": true,
      "threshold": 0.5,
      "reason": "The conversation includes multiple instances of callback offers from the assistant, specifically phrases like 'Запишу ваши контакты для решения проблемы' and 'Записал, перезвоним по вопросам'. The assistant effectively facilitates the callback process by asking for the user's name and phone number, aligning with its role of providing assistance. Therefore, the criteria for a successful evaluation are fully met."
    },
    {
      "name": "contact_captured",
      "score": 1.0,
      "success": true,
      "threshold": 0.5,
      "reason": "The assistant's response includes the Russian first name 'Дмитрий' and acknowledges it in the final message. Additionally, the phone number '+79993332211' is correctly formatted with 11 digits. Both elements are present and correctly referenced, fulfilling the evaluation criteria."
    },
    {
      "name": "end_call_marker",
      "score": 1.0,
      "success": true,
      "threshold": 0.5,
      "reason": "The conversation includes the marker '[end_call: callback_recorded]' in the last turn, indicating that the evaluation criteria have been met successfully. The assistant acknowledges the user's information and confirms the callback, which aligns with the requirement to find the specific marker in the conversation turns."
    }
  ],
  "metadata_results": [
    {
      "field": "duration_seconds",
      "op": "gte",
      "expected": 1,
      "actual": 8.74,
      "success": true,
      "reason": "expected gte 1, got 8.74"
    },
    {
      "field": "max_turns_exceeded",
      "op": "eq",
      "expected": false,
      "actual": false,
      "success": true,
      "reason": "expected eq False, got False"
    },
    {
      "field": "idle_disconnected",
      "op": "eq",
      "expected": false,
      "actual": false,
      "success": true,
      "reason": "expected eq False, got False"
    },
    {
      "field": "backend",
      "op": "eq",
      "expected": "chat",
      "actual": "chat",
      "success": true,
      "reason": "expected eq 'chat', got 'chat'"
    }
  ],
  "passed": true
}