{
  "model": null,
  "signature": {
    "description": "Determine if the predicted answer from the LLM matches the ground truth answer.",
    "properties": {
      "question": {
        "__dspy_field_type": "input",
        "desc": "The question to answer",
        "prefix": "Question:",
        "title": "Question",
        "type": "string"
      },
      "predicted_answer": {
        "__dspy_field_type": "input",
        "desc": "The response to the question from the LLM",
        "prefix": "Predicted Answer:",
        "title": "Predicted Answer",
        "type": "string"
      },
      "ground_truth_answers": {
        "__dspy_field_type": "input",
        "desc": "The ground truth answers to the question",
        "items": {
          "type": "string"
        },
        "prefix": "Ground Truth Answers:",
        "title": "Ground Truth Answers",
        "type": "array"
      },
      "label": {
        "__dspy_field_type": "output",
        "desc": "Whether the predicted answer is correct or incorrect",
        "enum": [
          "correct",
          "incorrect"
        ],
        "prefix": "Label:",
        "title": "Label",
        "type": "string"
      }
    },
    "required": [
      "question",
      "predicted_answer",
      "ground_truth_answers",
      "label"
    ],
    "title": "AudienceSig",
    "type": "object"
  }
}