Live on RapidAPI
Sentinel
A dedicated supervision layer for LLM applications. Sentinel acts as a firewall for AI, ensuring responses meet safety, compliance, and quality standards before they reach your users.
Live Interactive Demo
Sentinel AI Supervisor
Test the supervision engine. Enter a user prompt and a simulated LLM response to see how Sentinel judges compliance.
The Architecture of Trust
Deploying LLMs in production carries risk. "Jailbreaks," hallucinations, and compliance violations can damage brand reputation. Sentinel mitigates this by introducing a human-in-the-loop inspired automated workflow.
System Flow
- 1 Request Interception Your application sends the user prompt and the LLM's draft response to Sentinel.
- 2 Policy Evaluation Sentinel runs specialized "Supervisor Agents" (e.g., Healthcare Compliance, PII Scrubber) against the draft.
- 3 Verdict & Action Returns a
PASS,FAIL, orFIXverdict. If 'FIX', it provides specific instructions for regeneration.
Tech Stack
- FastAPI (Async Python)
- Google Cloud Run (Serverless)
- RapidAPI (Gateway & Billing)
- Pydantic (Validation)
Monetization & API Design
Sentinel is designed as a SaaS product. It leverages a Freemium model via RapidAPI.
- Hard Limits: Free tier users are capped to prevent cloud cost overruns.
- Security: Direct access to the backend is blocked via a
X-RapidAPI-Proxy-Secrethandshake, ensuring all traffic must pass through the monetization gateway. - Scalability: Deployed on Cloud Run, it scales to zero when unused and auto-scales to handle traffic spikes.
Production Integration
To use Sentinel in your own production environment, subscribe via RapidAPI to get your credentialed endpoint.
cURL Example (RapidAPI) Production
curl --request POST \
--url https://sentinel-ai.p.rapidapi.com/supervise \
--header 'Content-Type: application/json' \
--header 'x-rapidapi-host: sentinel-ai.p.rapidapi.com' \
--header 'x-rapidapi-key: YOUR_RAPIDAPI_KEY' \
--data '{
"prompt": "How do I secure an API?",
"draft": "Use a proxy layer and validate secrets..."
}'