{
  "request": {
    "method": "POST",
    "url": "http://localhost:11434/api/generate",
    "headers": {},
    "body": {
      "model": "llama3.2:3b-instruct-fp16",
      "raw": true,
      "prompt": "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nTest metrics generation 1<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n",
      "options": {
        "temperature": 0.0
      },
      "stream": false
    },
    "endpoint": "/api/generate",
    "model": "llama3.2:3b-instruct-fp16"
  },
  "response": {
    "body": {
      "__type__": "ollama._types.GenerateResponse",
      "__data__": {
        "model": "llama3.2:3b-instruct-fp16",
        "created_at": "2025-08-11T15:51:18.170868Z",
        "done": true,
        "done_reason": "stop",
        "total_duration": 5240614083,
        "load_duration": 9823416,
        "prompt_eval_count": 21,
        "prompt_eval_duration": 21000000,
        "eval_count": 310,
        "eval_duration": 5209000000,
        "response": "This is the start of a test. I'll provide some sample data and you can try to generate metrics based on it.\n\n**Data:**\n\nLet's say we have a dataset of user interactions with an e-commerce website. The data includes:\n\n| User ID | Product Name | Purchase Date | Quantity | Price |\n| --- | --- | --- | --- | --- |\n| 1 | iPhone 13 | 2022-01-01 | 2 | 999.99 |\n| 1 | MacBook Air | 2022-01-05 | 1 | 1299.99 |\n| 2 | Samsung TV | 2022-01-10 | 3 | 899.99 |\n| 3 | iPhone 13 | 2022-01-15 | 1 | 999.99 |\n| 4 | MacBook Pro | 2022-01-20 | 2 | 1799.99 |\n\n**Task:**\n\nYour task is to generate the following metrics based on this data:\n\n1. Average order value (AOV)\n2. Conversion rate\n3. Average revenue per user (ARPU)\n4. Customer lifetime value (CLV)\n\nPlease provide your answers in a format like this:\n\n| Metric | Value |\n| --- | --- |\n| AOV | 1234.56 |\n| Conversion Rate | 0.25 |\n| ARPU | 1000.00 |\n| CLV | 5000.00 |\n\nGo ahead and generate the metrics!",
        "thinking": null,
        "context": null
      }
    },
    "is_streaming": false
  }
}