X-Enkrypt-Mode to select between input and output detectors.
X-Enkrypt-Mode: prompt— applies the guardrail’s input detectorsX-Enkrypt-Mode: response— applies the guardrail’s output detectors
Example request:
Example response:
JSON
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
X-Enkrypt-Mode to select between input and output detectors.
X-Enkrypt-Mode: prompt — applies the guardrail’s input detectorsX-Enkrypt-Mode: response — applies the guardrail’s output detectorsimport 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/guardrail/scan-pdf"
payload = json.dumps({
"file": file_base64
})
headers = {
'Content-Type': 'application/json',
'apikey': os.getenv('ENKRYPTAI_API_KEY'),
'X-Enkrypt-Guardrail': 'My Guardrail',
'X-Enkrypt-Mode': 'prompt'
}
response = requests.post(url, headers=headers, data=payload)
print(json.dumps(response.json(), indent=4))
curl -X POST "https://api.enkryptai.com/guardrails/guardrail/scan-pdf" \
-H "Content-Type: application/json" \
-H "apikey: YOUR_API_KEY" \
-H "X-Enkrypt-Guardrail: My Guardrail" \
-H "X-Enkrypt-Mode: prompt" \
-d '{ "file": "BASE64_ENCODED_PDF_CONTENT" }'
{
"summary": {
"policy_violation": 0,
"injection_attack": 0
},
"details": {
"total_pages": 1,
"pages_with_detections": 0,
"detections": []
}
}
