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GenAI Learn/Serving, Caching & Gateways
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API Gateways for LLM Traffic

6 min read

You'll learn to

  • -Understand routing, rate limiting, and failover at the gateway layer
  • -Reason about multi-provider routing strategies
  • -Implement cost-based routing with automatic failover from scratch

A company calling five different LLM providers, OpenAI, Anthropic, Google, Cohere, and a self-hosted open-source model, directly from application code ends up with five different rate limit schemes, five different pricing models, and five different failure modes scattered across the codebase. An LLM gateway exists to absorb all of that into one place, so the application only ever talks to one consistent interface.

What a Gateway Actually Does

  • -Unified interface: one API shape regardless of which provider actually serves the request underneath.
  • -Cost-based routing: send each request to the cheapest currently healthy provider, automatically.
  • -Failover: if the chosen provider is down or erroring, retry on the next one without the caller ever noticing.
  • -Rate limiting: enforced consistently per user or per tenant, regardless of which provider ends up serving the request.
Cost-based routing with automatic failover, from scratch

Notice what this code does not need: no change to the calling application at all. The gateway absorbs every provider outage as an internal routing decision. The application just keeps getting responses, at a slightly higher cost during the outage, with zero code change required anywhere else.

Health Checks Have to Be Fast

A gateway is only as good as how quickly it notices a provider is unhealthy. Checking every 15 seconds or faster keeps the window where the gateway is still confidently routing to a dead provider short. This connects directly forward to the disaster recovery chapter later in this tier, where health-check interval becomes the actual unit that failover time is measured in.

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