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