POST
/
scoring_system
/
generate
import PiClient from 'withpi';

const client = new PiClient({
  apiKey: process.env['WITHPI_API_KEY'], // This is the default and can be omitted
});

async function main() {
  const questions = await client.scoringSystem.generate({
    application_description: "Write a children's story communicating a simple life lesson.",
  });

  console.log(questions);
}

main();
[
  {
    "custom_model_id": "your-model-id",
    "is_lower_score_desirable": "False",
    "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
  }
]

Authorizations

x-api-key
string
header
required

Body

application/json

Response

200
application/json
Successful Response

The response is of type object[].