AI Gateway Control Plane
Operate Vercel AI Gateway as the control plane for model routing, provider fallback, usage policy, credentials, custom reporting, and cost governance.
Key takeaways
- Operate Vercel AI Gateway as the control plane for model routing, provider fallback, usage policy, credentials, custom reporting, and cost governance.
- Use this chapter as a first-pass operating checklist before changing systems, data, permissions, or customer-facing workflows.
- Validate platform-specific details against current official docs or internal policy before rollout.
AI Gateway is the control plane for model access. It lets teams avoid scattering provider keys, routing decisions, fallback behavior, and usage policy across every application.
Control Plane Jobs
| Job | Why it matters |
|---|---|
| Routing | Choose models by task, latency, cost, and policy |
| Fallback | Keep critical flows alive during provider failure |
| Key governance | Reduce key sprawl and rotation risk |
| Usage tracking | Attribute cost by project, team, or feature |
| Policy enforcement | Apply provider, region, and data rules centrally |
Routing Policy
| Workload | Routing posture |
|---|---|
| Critical customer response | Reliable model with fallback |
| Internal draft | Cost-efficient model |
| Security-sensitive analysis | Approved provider and stricter logging |
| Batch summarization | Low-cost route with queue-based throttling |
Review Checklist
- Are provider keys isolated from app code?
- Does every route have owner and cost attribution?
- Is fallback tested?
- Are prohibited providers or regions blocked by policy?