{
  "scenario": "aggressive-client",
  "sidecar": "call-chat-2026-05-27T06-43-21Z-chat-410297216.json",
  "channel": "chat",
  "judge_model": "openai/gpt-4o-mini",
  "duration_seconds": 5.67,
  "idle_disconnected": false,
  "rubric_results": [
    {
      "name": "agent_stays_polite",
      "score": 0.4,
      "success": false,
      "threshold": 0.5,
      "reason": "The conversation contains dismissive language from the user, who expresses frustration and demands to speak with the manager without acknowledging the assistant's attempts to help. The assistant maintains a neutral tone but does not effectively address the user's urgency or frustration, leading to a lack of positive interaction. There are no instances of profanity or condescension, but the overall quality is diminished by the user's negative tone and the assistant's insufficient engagement."
    },
    {
      "name": "no_profanity_echo",
      "score": 0.8,
      "success": true,
      "threshold": 0.5,
      "reason": "The conversation does not contain any profanity, slurs, or hostile phrases in the assistant's responses. However, the user's tone is somewhat demanding and frustrated, but it does not cross into inappropriate language. Overall, the conversation maintains a level of professionalism and respect, fulfilling the evaluation criteria adequately."
    },
    {
      "name": "callback_offered_despite_hostility",
      "score": 1.0,
      "success": true,
      "threshold": 0.5,
      "reason": "The assistant successfully offered to record a callback by saying 'Запишу контакты, перезвоним руководитель; пожалуйста, назовите ваше имя.', which directly addresses the user's request for a callback. Additionally, the assistant maintained professionalism despite the user's aggressive tone, responding calmly and attempting to assist. Therefore, the conversation meets the evaluation criteria effectively."
    },
    {
      "name": "end_call_marker",
      "score": 1.0,
      "success": true,
      "threshold": 0.5,
      "reason": "The conversation contains the literal '[end_call: caller_done]' marker in the last turn, indicating a successful evaluation based on the presence of the marker. Therefore, the evaluation is marked as success=true."
    }
  ],
  "metadata_results": [
    {
      "field": "duration_seconds",
      "op": "gte",
      "expected": 1,
      "actual": 5.67,
      "success": true,
      "reason": "expected gte 1, got 5.67"
    },
    {
      "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
}