import PiClient from 'withpi';

const client = new PiClient({
  apiKey: 'My API Key',
});

const scoringSpecCalibrationStatuses = await client.scoringSystem.calibrate.list();

console.log(scoringSpecCalibrationStatuses);

[
  {
    "calibrated_scoring_spec": [
      {
        "custom_model_id": "your-model-id",
        "label": "Relevance to Prompt",
        "parameters": [
          0.14285714285714285,
          0.2857142857142857,
          0.42857142857142855,
          0.5714285714285714,
          0.7142857142857143,
          0.8571428571428571
        ],
        "python_code": "\ndef score(response_text: str, input_text: str, kwargs: dict) -> dict:\n    word_count = len(response_text.split())\n    if word_count > 10:\n        return {\"score\": 0.2, \"explanation\": \"Response has more than 10 words\"}\n    elif word_count > 5:\n        return{\"score\": 0.6, \"explanation\": \"Response has more than 5 words\"}\n    else:\n        return {\"score\": 1, \"explanation\": \"Response has 5 or fewer words\"}\n",
        "question": "Is the response relevant to the prompt?",
        "scoring_type": "PI_SCORER",
        "tag": "Legal Formatting",
        "weight": 1
      }
    ],
    "detailed_status": [
      "Downloading model",
      "Tuning prompt"
    ],
    "job_id": "1234abcd",
    "state": "RUNNING"
  }
]