> ## 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.

# List scores

Retrieves a list of all evaluation scores.

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

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

  response = requests.get(url, headers=headers)
  print(response.json())
  ```
</RequestExample>

<ResponseExample>
  ```json 200 OK theme={"system"}
  {
    "count": 3,
    "next": null,
    "previous": null,
    "results": [
      {
        "id": "eval_result_unique_id_1",
        "created_at": "2024-01-15T10:30:00Z",
        "type": "llm",
        "environment": "test",
        "numerical_value": 4.5,
        "string_value": "Good quality",
        "boolean_value": true,
        "is_passed": false,
        "cost": 0.0,
        "evaluator_id": null,
        "evaluator_slug": "quality_evaluator",
        "log_id": "log_unique_id_1",
        "dataset_id": null
      },
      {
        "id": "eval_result_unique_id_2",
        "created_at": "2024-01-15T11:15:00Z",
        "type": "llm",
        "environment": "production",
        "numerical_value": 3.8,
        "string_value": "Average quality",
        "boolean_value": false,
        "is_passed": true,
        "cost": 0.0,
        "evaluator_id": null,
        "evaluator_slug": "relevance_evaluator",
        "log_id": "log_unique_id_2",
        "dataset_id": null
      }
    ]
  }
  ```
</ResponseExample>