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.
Scans a PDF file for security threats including injection attacks and policy violations. The detector analyzes the provided base64-encoded PDF and returns details about any detected threats on a per-page basis, including which detectors were triggered.
Example request:
import requests
import json
import os
import base64
# Read and encode PDF file
with open("document.pdf", "rb") as f:
file_base64 = base64.b64encode(f.read()).decode("utf-8")
url = "https://api.enkryptai.com/guardrails/scan-pdf"
payload = json.dumps({
"file": file_base64,
"detectors": {
"policy_violation": {
"enabled": true,
"policy_text": "No recruitment letters",
"need_explanation": true,
"block_message": "Your custom message"
},
"injection_attack": {
"enabled": true,
"block_message": "Your custom message"
}
}
})
headers = {
'Content-Type': 'application/json',
'apikey': os.getenv('ENKRYPTAI_API_KEY')
}
response = requests.post(url, headers=headers, data=payload)
print(response.json())
Example response:
{
"summary": {
"policy_violation": 0,
"injection_attack": 0
},
"details": {
"total_pages": 1,
"pages_with_detections": 0,
"detections": []
},
"result_message": null
}