examples

Examples

Integration examples for the Prompt Injection Firewall (PIF). Each example demonstrates how to route LLM API requests through PIF for real-time prompt injection detection.

Prerequisites

1. PIF proxy running:

   # For OpenAI
   pif proxy --target https://api.openai.com --listen :8080
   
   # For Anthropic
   pif proxy --target https://api.anthropic.com --listen :8080

2. API key for your LLM provider (OpenAI or Anthropic).

Examples

Directory	Language	Description
python/	Python	OpenAI and Anthropic SDK integration
nodejs/	Node.js	OpenAI SDK integration with async/await
curl/	Shell	Raw HTTP requests for testing
docker/	Docker	Production-ready Docker Compose setup

Python

cd python
pip install -r requirements.txt

# OpenAI example
OPENAI_API_KEY=sk-... python openai_example.py

# Anthropic example
ANTHROPIC_API_KEY=sk-ant-... python anthropic_example.py

Node.js

cd nodejs
npm install

OPENAI_API_KEY=sk-... node openai_example.js

cURL

cd curl

# OpenAI
OPENAI_API_KEY=sk-... bash openai.sh

# Anthropic
ANTHROPIC_API_KEY=sk-ant-... bash anthropic.sh

Docker

cd docker
docker compose up -d

# Verify PIF is running
curl http://localhost:8080/healthz

# Then point your SDK at http://localhost:8080/v1

What Each Example Demonstrates

Every example shows three scenarios:

1. Clean prompt -- A benign request that passes through PIF to the LLM API
2. Prompt injection -- An attempt to override system instructions (blocked with HTTP 403)
3. Data exfiltration / jailbreak -- An attempt to extract data or bypass safety (blocked with HTTP 403)

Expected Output

When PIF blocks a request, you will receive:

{
  "error": {
    "message": "Request blocked by Prompt Injection Firewall",
    "type": "prompt_injection_detected",
    "score": 0.85,
    "findings": 2
  }
}