When would you put a gateway in front of model providers?

Centralizes cross-cutting model access concerns when multiple applications or providers justify the added hop and operational ownership.

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TL;DR

I introduce an AI gateway when several applications need consistent authentication, quotas, routing, telemetry, provider policy, or protocol adaptation. A single small service can usually keep those concerns in its own model adapter. The gateway must solve a real cross-cutting problem because every request now depends on its latency, availability, and configuration.

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Gateway value, central policy, failure domains, latency, and organizational scale.

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Core answer
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Overview
A gateway can simplify shared model access, but it also becomes another critical dependency.
I introduce an AI gateway when several applications need consistent authentication, quotas, routing, telemetry, provider policy, or protocol adaptation. A single small service can usually keep those concerns in its own model adapter. The gateway must solve a real cross-cutting problem because every request now depends on its latency, availability, and configuration.
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Stronger answer
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Useful gateway responsibilities include credential isolation, tenant budgets, rate limiting, routing to approved deployments, request correlation, and safe usage accounting. Application-specific prompts, business authorization, semantic validation, and tool policy remain with the application because centralizing them would couple unrelated products. I also decide whether the gateway merely proxies provider features or normalizes a selected common contract.

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Common mistakesCandidateCommon mistakesMistakes that weaken the answer or signal shallow understanding.Open details

Details

Adding a gateway for one application with one provider.
Moving product-specific prompt logic into shared infrastructure.
Treating the gateway as automatically highly available.

When would you put a gateway in front of model providers?

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