What the AI Gateway does
The AI Gateway is the single entry point for every LLM call your services make. Instead of integrating each provider SDK separately, you integrate once — and the Gateway handles provider selection, retries, limits, and structured logging on your behalf.
Features
| Feature | What it gives you |
|---|---|
| Unified API | One REST interface for OpenAI, Anthropic, Google, and open-source models |
| Model routing | Route by model alias, capability, cost, or availability |
| Fallback | Move to a backup model automatically when a provider fails |
| Retries | Retry transient provider failures with configurable backoff |
| Rate limits | Limit requests per service, user, tenant, or API key |
| Budget limits | Cap spend per feature, service, or tenant |
| Request logging | Capture every interaction as structured usage metadata |
| Provider key management | Keep provider credentials in one controlled place |
Why teams pick the Gateway
- Less integration code. Swap providers without touching application logic.
- Predictable spend. Rate and budget limits prevent runaway costs before they happen.
- Better resilience. Fallback and retries keep features working when a provider degrades.
- One source of truth. Every interaction is captured the same way, regardless of provider.
A typical request
The Gateway authenticates the request, applies the right routing and limit policies, calls the selected provider, records the structured usage, and returns the response — all behind a single endpoint.
Get started
Route your first model in minutes. Talk to us about your use case, or read the developer docs to integrate.