Why Every Model Provider Should Sit Behind an AI Gateway

In most organizations, the first AI features call a model provider directly from application code. Then a second team does the same with a different provider, and a third adds another. Before long, API keys live in a dozen places, nobody can say what each team spends, and a provider outage takes features down one by one.

An AI gateway is a proxy between your applications and the model providers. Every model request goes through it.

What a gateway gives you

One place for credentials. Applications authenticate to the gateway with their own identity. Provider keys live only in the gateway, so rotating a key touches one system.

Cost tracking per team and feature. The gateway sees every request and its token usage, so it can attribute spend to the application that made it and enforce budgets.

Failover between providers or regions. When one endpoint returns errors or slows down, the gateway can retry against another approved model or region.

Consistent policy. Rate limits, allowed models, logging rules and redaction are applied in one place instead of being rebuilt in every service.

Easier model changes. Applications ask for a logical model name such as default-chat. Changing what that name points to is a configuration change.

Options

Open-source proxies such as LiteLLM and Envoy AI Gateway, API management products such as Kong, and managed services such as Cloudflare AI Gateway all cover the basics. The cloud platforms also offer similar features inside their own AI services.

The strongest objection

"It's another component that can fail." That's true. Run at least two replicas across availability zones, keep the gateway's logic simple and monitor it like any other critical service. One well-run gateway is still easier to keep reliable than a dozen scattered integrations.

A second objection is latency. A proxy in the same region usually adds a few milliseconds, which is small next to model responses measured in seconds.

What to avoid

• Hiding provider features. If the gateway only supports the lowest common denominator, teams lose prompt caching, tool use or structured outputs. Pass provider-specific options through.
• Logging everything by default. Prompts often contain personal data. Decide what the gateway stores before turning logging on.

First step

Route one new feature through a gateway, with its own application key and cost tracking. Once the reports work, move existing integrations over one at a time.