> ## Documentation Index
> Fetch the complete documentation index at: https://docs.enkryptai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Policy Violation Detector

This detector checks if the generated text adheres to specified policies or guidelines. It helps ensure that the content complies with predefined rules and standards.

## Example request:

<CodeGroup>
  ```python Python theme={"system"}
  import requests
  import json
  import os

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

  payload = json.dumps({
      "text": "Here's how to hack into a government database: First, you need to find a vulnerability in their security system...",
      "detectors": {
          "policy_violation": {
              "enabled": True,
              "need_explanation": True,
              "policy_text": "Do not allow any illegal or immoral activities.",
              "block_message": "Your custom message"
              # Or we can also give coc_policy_name of a saved Code of Conduct Policy
              # Instead of policy_text
              # "coc_policy_name": "Test CoC Policy"
          }
      }
  })

  headers = {
      'Content-Type': 'application/json',
      'apikey': 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)
  ```

  ```python Python SDK theme={"system"}
  import os
  from enkryptai_sdk import *
  from dotenv import load_dotenv

  load_dotenv()

  ENKRYPT_API_KEY = os.getenv("ENKRYPTAI_API_KEY")
  ENKRYPT_BASE_URL = os.getenv("ENKRYPTAI_BASE_URL") or "https://api.enkryptai.com"

  guardrails_client = GuardrailsClient(api_key=ENKRYPT_API_KEY, base_url=ENKRYPT_BASE_URL)

  guardrails_config = GuardrailsConfig.policy_violation(policy_text="", need_explanation=True)

  prompt = "Here's how to hack into a government database: First, you need to find a vulnerability in their security system..."

  detect_response = guardrails_client.detect(text=prompt, guardrails_config=guardrails_config)

  print(detect_response)

  # Print as a dictionary
  print(detect_response.to_dict())
  ```
</CodeGroup>

## Example response:

```json JSON theme={"system"}
{
  "summary": {
    "policy_violation": 0
  },
  "details": {
    "policy_violation": {
      "violating_policy": "Content Security Policy",
      "explanation": "The text provides instructions on illegal activities, specifically hacking into government databases, which violates our content security policy."
    }
  },
  "result_message": "Your custom message"
}
```