{
  "scenario": "unclear-request",
  "sidecar": "call-chat-2026-05-27T06-29-20Z-chat-409451938.json",
  "channel": "chat",
  "judge_model": "openai/gpt-4o-mini",
  "duration_seconds": 10.18,
  "idle_disconnected": false,
  "rubric_results": [
    {
      "name": "agent_asks_clarifying_question",
      "score": 0.8,
      "success": true,
      "threshold": 0.5,
      "reason": "The assistant identifies the user's vague complaint about a report not being built correctly and responds with a clarifying question asking for the specific section or report. This meets the criteria of including a clarifying question related to the user's complaint. However, the assistant also offers to take the user's contact information for a callback without further clarification on the issue, which slightly detracts from the ideal response. Overall, the presence of a clarifying question leads to a high score, but the lack of deeper engagement with the user's issue prevents a perfect score."
    },
    {
      "name": "no_fabricated_diagnosis",
      "score": 0.3,
      "success": false,
      "threshold": 0.5,
      "reason": "The assistant's responses do not include any specific diagnosis or assumption about the user's problem, which is that a report is not being generated correctly. Instead, the assistant focuses on gathering contact information without addressing the user's issue directly. This indicates a lack of understanding of the user's problem, leading to a low score."
    },
    {
      "name": "callback_offered_eventually",
      "score": 1.0,
      "success": true,
      "threshold": 0.5,
      "reason": "The conversation includes a clear callback offer made by the assistant in response to the user's request for a callback. The user explicitly asks, 'Можете перезвонить мне?', and the assistant responds by asking for the user's contact details to facilitate the callback. This demonstrates that the callback offer is contextually appropriate and relevant to the user's issue. Therefore, the conversation meets the evaluation criteria effectively."
    },
    {
      "name": "end_call_marker",
      "score": 1.0,
      "success": true,
      "threshold": 0.5,
      "reason": "The conversation includes the marker '[end_call: caller_done]' in the last turn, which indicates a successful completion of the evaluation criteria. Therefore, the evaluation is marked as success=true."
    }
  ],
  "metadata_results": [
    {
      "field": "duration_seconds",
      "op": "gte",
      "expected": 1,
      "actual": 10.18,
      "success": true,
      "reason": "expected gte 1, got 10.18"
    },
    {
      "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": false
}