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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.

This detector identifies potential infinite loops or infinite recursion in the generated text. It helps prevent the model from getting stuck in an infinite loop and causing a denial of service attack.

​
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": {
        "sponge_attack": {
            "enabled": True,
            "block_message": "Your custom message"
        }
    }
})

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)

​
Example response:

JSON
{
  "summary": {
    "sponge_attack": 1
  },
  "details": {
    "sponge_attack": {
      "sponge_attack_detected": true,
      "compliance_mapping": {
        "owasp_llm_2025": [
          "LLM10:2025 Unbounded Consumption"
        ],
        "mitre_atlas": [
          "AML.T0029: Denial of ML Service"
        ],
        "nist_ai_rmf": [
          "MANAGE 4.1 (Resource management & availability)"
        ],
        "eu_ai_act": [
          "Article 15(4) (Cybersecurity & resilience)"
        ],
        "iso_iec_standards": [
          "ISO/IEC 27001: A.12.2 (Protection against malware & resource abuse)"
        ]
      }
    }
  },
  "result_message": "Your custom message"
}