PromptGuard
A security API that scans text for common prompt injection patterns and returns a risk score. Designed for AI agents that process untrusted text input from external sources.
What It Detects
- Instruction override attempts
- HTML comment injection
- Zero-width unicode characters
- Delimiter-based attacks
- Role switching tokens
- System prompt extraction attempts
Installation
pip install fastapi uvicorn pydantic
Usage
Start the server:
uvicorn promptguard.app:app --port 8000
Then send a POST request:
curl -X POST http://localhost:8000/v1/scan \
-H "Content-Type: application/json" \
-d '{"text": "What is the weather in London today?"}'
Response (clean text):
{
"risk_score": "0",
"patterns_detected": [],
"input_length": 38
}
Request
| Field | Type | Required | Description |
|---|---|---|---|
text |
string | yes | Text to scan (1-100,000 chars) |
Response
| Field | Type | Description |
|---|---|---|
risk_score |
decimal | 0.0 (safe) to 1.0 (high risk) |
patterns_detected |
list | Names of detected patterns |
input_length |
integer | Length of input text |