> ## 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 log scores

Retrieves all scores associated with a specific log.

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

  url = "https://api.keywordsai.co/api/logs/{log_id}/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": 2,
    "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,
        "categorical_value": ["excellent"],
        "is_passed": false,
        "cost": 0.0,
        "evaluator_id": null,
        "evaluator_slug": "quality_evaluator",
        "log_id": "log_unique_id",
        "dataset_id": null
      }
    ]
  }
  ```
</ResponseExample>

## Score Enrichment in Logs

When you retrieve log details, scores are automatically included in the response under a `scores` field with enriched information including evaluator names and score values.

## Score Summary Aggregations

Aggregated score summaries (average scores for numerical evaluators, true/false counts for boolean evaluators) are available in:

* **Logs Summary**: [GET/POST /api/request-logs/summary/](/api-endpoints/observe/logs/logs-summary-endpoint)
* **Experiment Logs Summary**: GET/POST /evaluations/experiments/{experiment_id}/logs/summary/
* **Dataset Logs Summary**: GET/POST /api/datasets/{dataset_id}/logs/summary/

Score summaries show:

* **Numerical/Percentage evaluators**: Average score (1-5 scale or 0-100%)
* **Boolean evaluators**: True count and false count

See the [Logs Summary endpoint](/api-endpoints/observe/logs/logs-summary-endpoint) for complete details on the score summary format.
