> ## 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.

# Retrieve log score

Gets detailed information about a specific score for a log.

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

  url = "https://api.keywordsai.co/api/logs/{log_id}/scores/{score_id}/"
  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"}
  {
    "id": "eval_result_unique_id",
    "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. This enriched format includes:

* **evaluator\_name**: Human-readable name of the evaluator
* **evaluator\_slug**: URL-friendly identifier
* **score\_value**: The actual score value (numerical, boolean, etc.)

Example enriched scores in a log response:

```json theme={"system"}
{
  "id": "log_abc123",
  "model": "gpt-4",
  "scores": {
    "550e8400-e29b-41d4-a716-446655440000": {
      "evaluator_name": "Response Quality",
      "evaluator_slug": "quality_v1",
      "score_value": 4.5
    }
  }
}
```

## Score Summary Aggregations

Aggregated score summaries are available in summary endpoints. These show average scores for numerical evaluators and true/false counts for boolean evaluators:

* **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/

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