call-analysis

{
  "type": "object",
  "properties": {
    "sentiment": {
      "type": "integer",
      "minimum": 1,
      "maximum": 10,
      "description": "Overall customer sentiment (1=very negative, 10=very positive)"
    },
    "primary_intent": {
      "type": "string",
      "enum": ["support", "sales", "complaint", "inquiry", "appointment", "other"],
      "description": "Main reason for the call"
    },
    "topics_discussed": {
      "type": "array",
      "items": { "type": "string" },
      "description": "List of main topics covered in the conversation"
    },
    "action_items": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "task": { "type": "string" },
          "assigned_to": { "type": "string", "enum": ["assistant", "customer", "other"] }
        }
      }
    },
    "customer_satisfied": {
      "type": "boolean"
    },
    "follow_up_needed": {
      "type": "boolean"
    },
    "summary": {
      "type": "string",
      "description": "Brief summary of the call outcome"
    }
  }
}

{
  "messages": [
    {
      "role": "system",
      "content": "You are a call analyst. Extract structured data from the call transcript according to the provided schema. Return valid JSON only."
    },
    {
      "role": "user",
      "content": "Schema: {{schema}}\n\nCall transcript:\n{{transcript}}\n\nThe call ended because: {{ended_reason}}"
    }
  ]
}

{
  "messages": [
    {
      "role": "system",
      "content": "Analyze customer service calls and extract data according to the schema. Guidelines:\n- Sentiment: 1-3 negative, 4-6 neutral, 7-10 positive\n- Only mark resolved=true if the issue was fully addressed\n- Include all mentioned topics, not just the main one"
    },
    {
      "role": "user",
      "content": "Schema:\n{{schema}}\n\nTranscript:\n{{transcript}}\n\nCall ended: {{ended_reason}}\n\nProvide your analysis as JSON."
    }
  ]
}

{
  "min_messages_threshold": 5
}

{
  "message": {
    "type": "end-of-call-report",
    "duration_seconds": 84,
    "summary": "Customer asked about opening hours...",
    "analysis": {
      "sentiment": 8,
      "primary_intent": "inquiry",
      "topics_discussed": ["opening hours", "location", "parking"],
      "customer_satisfied": true,
      "follow_up_needed": false,
      "summary": "Customer received all requested information."
    }
  }
}

{
  "schema": {
    "type": "object",
    "properties": {
      "csat_score": { "type": "integer", "minimum": 1, "maximum": 5 },
      "would_recommend": { "type": "boolean" },
      "pain_points": { "type": "array", "items": { "type": "string" } }
    }
  }
}

{
  "schema": {
    "type": "object",
    "properties": {
      "lead_quality": { "type": "string", "enum": ["hot", "warm", "cold"] },
      "budget_mentioned": { "type": "boolean" },
      "timeline": { "type": "string" },
      "decision_maker": { "type": "boolean" },
      "products_interested": { "type": "array", "items": { "type": "string" } }
    }
  }
}

{
  "schema": {
    "type": "object",
    "properties": {
      "category": { "type": "string", "enum": ["billing", "technical", "account", "product", "other"] },
      "priority": { "type": "string", "enum": ["low", "medium", "high", "urgent"] },
      "resolution_status": { "type": "string", "enum": ["resolved", "escalated", "pending", "unresolved"] },
      "root_cause": { "type": "string" }
    }
  }
}