AI apps powered by LLMs or hosted models often face unpredictable demand and high costs. At Essid Solutions, we help teams design robust, scalable APIs with built-in security, rate limiting, and usage monitoring to protect both the app and the budget.

📈 Why AI APIs Need Extra Care

• Model usage is expensive and variable
• Prompt injection and abuse risks
• No guardrails = unlimited spending
• Poor API design = lag, failures, or data leaks

⚖️ Best Practices for AI API Design

1. Authentication & Roles – OAuth, API keys, tenant-specific access
2. Rate Limiting – Per-user, per-token, or tier-based (free vs. paid)
3. Cost Tracking – Log and report token usage per request/user
4. Prompt Validation – Guardrails to block injections or malformed input
5. Caching – Reuse frequent responses with low TTL
6. Timeouts & Retries – Prevent stuck or slow model calls
7. Logging & Observability – Track performance, failures, latency

🌐 Tech Stack for Secure AI APIs

• API Gateway: FastAPI, Express.js, or Firebase Functions
• Auth: Supabase Auth, Auth0, Firebase, Keycloak
• Rate Limit: Redis, Kong, or API Gateway policies
• Billing: Stripe metered billing or OpenAI usage tracking
• Monitoring: Prometheus, Sentry, Datadog, OpenTelemetry

💼 Use Case: AI Resume Analyzer API

A client launched an LLM-powered resume scoring API. We:

• Added API key auth with Supabase
• Implemented per-tenant rate limits and usage reports
• Built a Stripe dashboard for monthly billing

Result: Monetized API with zero abuse and predictable monthly spend.

📅 Secure and Scale Your AI API

We’ll help you build a fast, secure, and cost-aware API for your AI-powered product.

👉 Book an AI API design session
Or email: hi@essidsolutions.com