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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.

* Connects to Live Production API (GCP)
Open full dashboard →

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. 1
    Request Interception Your application sends the user prompt and the LLM's draft response to Sentinel.
  2. 2
    Policy Evaluation Sentinel runs specialized "Supervisor Agents" (e.g., Healthcare Compliance, PII Scrubber) against the draft.
  3. 3
    Verdict & Action Returns a PASS, FAIL, or FIX verdict. 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-Secret handshake, 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..."
  }'