{
  "traces": [],
  "train": [],
  "demos": [],
  "signature": {
    "instructions": "Classify an email as spam or not spam based on its subject and body.\n\nInstructions:\n1. Read the subject and body of the email carefully.\n2. Look for common spam indicators: urgency, suspicious links, unsolicited offers,\n   misleading sender info, or requests for personal information.\n3. Output \"spam\" if the email is spam, or \"not spam\" if it is legitimate.",
    "fields": [
      {
        "prefix": "Subject:",
        "description": "The email subject line"
      },
      {
        "prefix": "Body:",
        "description": "The email body text"
      },
      {
        "prefix": "Reasoning:",
        "description": "Your reasoning for your answer. Inlude any uncertainties about your answer or ambiguity in the task."
      },
      {
        "prefix": "Is Spam:",
        "description": "Whether the email is spam: 'spam' or 'not spam'"
      }
    ]
  },
  "lm": {
    "model": "openrouter/Qwen/Qwen3.5-4B",
    "model_type": "chat",
    "cache": true,
    "num_retries": 3,
    "finetuning_model": null,
    "launch_kwargs": {},
    "train_kwargs": {},
    "temperature": null,
    "max_tokens": null
  },
  "metadata": {
    "dependency_versions": {
      "python": "3.13",
      "dspy": "3.1.3",
      "cloudpickle": "3.1"
    }
  }
}