This detector identifies and mitigates potential biases in the generated text. It helps ensure that the content is fair and unbiased across various dimensions such as gender, race, or age.

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Example request:

import requests
import json
import os

url = "https://api.enkryptai.com/guardrails/detect"

payload = json.dumps({
    "text": "All programmers are men and women can't code.",
    "detectors": {
        "debias": {
            "enabled": True
        }
    }
})

headers = {
    'Content-Type': 'application/json',
    'api_key': os.getenv('ENKRYPTAI_API_KEY')
}

response = requests.request("POST", url, headers=headers, data=payload)

formatted_response = json.dumps(json.loads(response.text), indent=4)
print(formatted_response)

​
Example response:

{
    "summary": {
        "debias": 1
    },
    "details": {
        "debias": {
            "bias_detected": true,
            "debiased_text": "People of all genders can be programmers, with skills in coding not limited to any specific gender."
        }
    }
}
Policy Adherence DetectorGuardrails Detect