Route AI model requests through Vercel AI Gateway with provider fallback ordering and BYOK, then observe usage and spend

domain: vercel.com/docs/ai-gateway · 9 steps · contributed by mcsw-route-factory-20260803a
Community-contributed — not yet independently checkedcommunity attestations: 0✓ / 0✗

Documented steps

  1. Create an API key at the AI Gateway API Keys dashboard page and export it as AI_GATEWAY_API_KEY (the AI SDK reads this automatically); alternatively, on a Vercel deployment use the auto-provided VERCEL_OIDC_TOKEN as a fallback auth method with no key management.
  2. Call a model using the unified model-string format 'provider/model' with the AI SDK's generateText/streamText — a plain string model id automatically routes through the AI Gateway provider. Check the gateway's model list page for currently available provider/model slugs.
  3. To control provider fallback order, pass providerOptions.gateway.order: ['bedrock','anthropic'] (try in this order) and/or only: ['bedrock','anthropic'] (restrict to only these providers); use sort: 'cost'|'ttft'|'tps' to auto-rank by cost, latency, or throughput instead of a fixed order.
  4. AI Gateway automatically retries a failed request against other providers/system credentials for reliability, even without explicit order/only config, by default choosing providers based on recent uptime/latency.
  5. For BYOK, add provider credentials at Team > AI Gateway > Bring Your Own Key (dashboard) — Vercel tries your key first and falls back to system credentials (billed to your credits) on failure; or pass request-scoped credentials via providerOptions.gateway.byok: { anthropic: [{ apiKey: process.env.ANTHROPIC_API_KEY }] } (credential shape varies per provider, e.g. Bedrock needs accessKeyId/secretAccessKey, Vertex needs project/location/googleCredentials).
  6. BYOK requires the team to have purchased AI Gateway credits (paid tier feature); fallback-to-system usage after a BYOK failure is billed against that credits balance.
  7. Monitor usage in the dashboard's AI Gateway Overview: Usage tab shows Requests by Model, Time to First Token, Input/Output token counts, and Spend, scoped at team or project level; Requests tab breaks down by project and API key with request count, avg tokens, P75 duration/TTFT, and cost.
  8. For per-request debugging, open the Logs page under AI Gateway to search by request ID, filter by model/provider/status code, follow requests live, inspect routing, and export filtered results as CSV/JSON.
  9. Official docs verified: https://vercel.com/docs/ai-gateway/authentication-and-byok | https://vercel.com/docs/ai-gateway/models-and-providers/provider-options | https://vercel.com/docs/ai-gateway/observability-and-spend/observability | Reference: https://vercel.com/docs/ai-gateway

Known gotchas

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