API Management for AI

AI applications stand or fall with the reliability of their API layer. An outage at your LLM provider must not take down your entire application. Professional API management is not optional — it's mandatory.

The Four Pillars

1. Rate Limiting

Protect yourself from cost explosions and API abuse.

Implementation:

Token bucket algorithm: Allows bursts, limits average
Per-user limits: Maximum 100 requests/minute per user
Global limits: Maximum 1,000 requests/minute total (matching your API budget)
Graceful degradation: At limit → generate shorter answers instead of rejecting

Pro tip: Set your rate limit to 80% of the provider limit. This gives you headroom for spikes.

2. Load Balancing

Distribute load across multiple models and providers.

Multi-provider strategy:

Primary: OpenAI GPT-4o (best quality)
Secondary: Anthropic Claude (fallback during OpenAI outage)
Tertiary: Self-hosted Llama (emergency fallback, higher latency)

Routing logic:

Simple requests → cheaper model (GPT-4o-mini)
Complex requests → powerful model (GPT-4o, Claude Opus)
Latency-critical → edge-deployed model

3. Caching

Up to 40% of AI requests are duplicates — caching saves enormous costs.

Caching strategies:

Exact match: Identical prompts → cached response (Redis, 1 ms)
Semantic cache: Similar prompts → cached response (vector DB, 10 ms)
Prompt cache: Provider-side (OpenAI, Anthropic) — up to 50% discount on input tokens
Set TTL: How long is a cached response valid? (1h–24h depending on use case)

4. Fallback Strategies

What happens when your primary provider goes down?

Circuit breaker pattern:

Closed: Everything normal, requests go to primary
Open: Primary not responding (3 errors in 30s) → immediately switch to secondary
Half-open: After 60s, send test request to primary → if OK, switch back

Must-have: Every AI application needs at least one fallback provider. No single point of failure.

Tools & Frameworks

LiteLLM: Unified API for 100+ LLM providers with fallback and load balancing
Kong / Traefik: API gateways with rate limiting and monitoring
Helicone: AI-specific API gateway with caching and analytics

Remember: The best AI is useless if the API layer is unreliable. Invest 20% of your infrastructure time in resilience.