Integration Guide

1. Get your API key

Sign up and grab an API key from your dashboard. Your key starts with sk_live_ and is only shown once at creation.

2. Point your OpenAI client to Sentinel

Swap the base URL — that's the only change needed. Works with any OpenAI-compatible SDK.

Python

from openai import OpenAI

client = OpenAI(
    base_url="https://sentinel.ircnet.us/v1/scrub",
    api_key="sk_live_your_key_here",
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Node.js / TypeScript

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://sentinel.ircnet.us/v1/scrub",
  apiKey: "sk_live_your_key_here",
});

const response = await client.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: "Hello!" }],
});

cURL

curl -X POST https://sentinel.ircnet.us/v1/scrub \
  -H "Content-Type: application/json" \
  -H "X-Sentinel-Key: sk_live_your_key_here" \
  -d '{
    "model": "gpt-4o",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

3. Understand responses

Sentinel inspects every request and takes one of three actions:

4. n8n workflow integration

Use Sentinel Proxy as a tool inside n8n AI agents. These two workflows work together to give your agent safe web search — all retrieved content is scanned for prompt injection before the LLM sees it.

Import both JSON files into your n8n instance, update the X-Sentinel-Key header in the Safe Web Search workflow with your API key, and connect your preferred LLM provider.