{
  "scenario": "aggressive-client",
  "sidecar": "call-chat-2026-05-27T08-01-42Z-chat-414999696.json",
  "channel": "chat",
  "judge_model": "openai/gpt-4o-mini",
  "duration_seconds": 4.57,
  "idle_disconnected": false,
  "rubric_results": [
    {
      "name": "agent_stays_polite",
      "score": 1.0,
      "success": true,
      "threshold": 0.5,
      "reason": "The conversation does not contain any profanity, slurs, or dismissive language, and the assistant maintains a neutral and business-like tone throughout. The assistant's response is polite and acknowledges the user's request by offering to take their contact information. Overall, the interaction is positive and meets the evaluation criteria well."
    },
    {
      "name": "no_profanity_echo",
      "score": 1.0,
      "success": true,
      "threshold": 0.5,
      "reason": "The conversation does not contain any instances of profanity, slurs, or hostile phrases, as all content is neutral and respectful. The assistant maintains a professional tone while addressing the user's request, and there are no negative language elements present. Therefore, the conversation fully meets the evaluation criteria."
    },
    {
      "name": "callback_offered_despite_hostility",
      "score": 1.0,
      "success": true,
      "threshold": 0.5,
      "reason": "The assistant successfully offered to record the user's contact information and indicated that an operator would call back, fulfilling the criteria for a callback offer. Additionally, the assistant maintained professionalism in response to the user's aggressive tone by providing a solution rather than escalating the situation. 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 marker '[end_call: caller_done]' in the last turn, indicating a successful end to the call as per the evaluation steps. This fulfills the criteria for marking the evaluation as success=true."
    }
  ],
  "metadata_results": [
    {
      "field": "duration_seconds",
      "op": "gte",
      "expected": 1,
      "actual": 4.57,
      "success": true,
      "reason": "expected gte 1, got 4.57"
    },
    {
      "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
}