GET
/
api
/
scores
/
{score_id}
/
import requests

url = "https://api.keywordsai.co/api/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())
{
  "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,
  "is_passed": false,
  "cost": 0.0,
  "evaluator_id": null,
  "evaluator_slug": "quality_evaluator",
  "log_id": "log_unique_id",
  "dataset_id": null
}
Retrieves a specific evaluation score by ID.
import requests

url = "https://api.keywordsai.co/api/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())
{
  "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,
  "is_passed": false,
  "cost": 0.0,
  "evaluator_id": null,
  "evaluator_slug": "quality_evaluator",
  "log_id": "log_unique_id",
  "dataset_id": null
}