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LLM Gateway: Routing, Guardrails, Quotas, and Observability for Production GenAI
LLM Gateway is the control plane between applications and model providers. Learn architecture patterns for model routing, rate limiting, policy enforcement, prompt/response filtering, caching, fallback handling, and cost governance at scale.
Why LLM Gateway Exists
As teams move from prototypes to production, direct app-to-model calls become unmanageable. Different teams use different prompts, providers, auth methods, and retry behavior. Costs spike silently, policy controls drift, and outages become chaotic because each service implements its own fallback logic.
An LLM Gateway centralizes these concerns. It gives platform teams one place to enforce policy, apply quotas, route to the right model, and observe quality/cost/latency by tenant and use case.
Interviewers test whether you understand this is not "just an API proxy." A production gateway is a policy, reliability, and economics control plane.