> ## Documentation Index
> Fetch the complete documentation index at: https://docs.keywordsai.co/llms.txt
> Use this file to discover all available pages before exploring further.

# Update score

Updates an existing evaluation score.

<ParamField body="numerical_value" type="number">
  Optional updated numerical score value
</ParamField>

<ParamField body="string_value" type="string">
  Optional updated string score value
</ParamField>

<ParamField body="boolean_value" type="boolean">
  Optional updated boolean score value
</ParamField>

<RequestExample>
  ```Python Python theme={"system"}
  import requests

  url = "https://api.keywordsai.co/api/scores/{score_id}/"
  api_key = "YOUR_KEY" # Replace with your actual Keywords AI API key
  data = {
      "numerical_value": 4.8,
      "string_value": "Excellent quality"
  }
  headers = {
      "Authorization": f"Bearer {api_key}",
      "Content-Type": "application/json"
  }

  response = requests.patch(url, headers=headers, json=data)
  print(response.json())
  ```

  ```json Request theme={"system"}
  {
    "numerical_value": 4.8,
    "string_value": "Excellent quality"
  }
  ```
</RequestExample>

<ResponseExample>
  ```json 200 OK theme={"system"}
  {
    "id": "eval_result_unique_id",
    "created_at": "2024-01-15T10:30:00Z",
    "type": "llm",
    "environment": "test",
    "numerical_value": 4.8,
    "string_value": "Excellent quality",
    "boolean_value": true,
    "is_passed": false,
    "cost": 0.0,
    "evaluator_id": null,
    "evaluator_slug": "quality_evaluator",
    "log_id": "log_unique_id",
    "dataset_id": null
  }
  ```
</ResponseExample>