Customize timeouts for faster automatic failover on Vercel AI Gateway
Vercel AI Gateway just cut failover latency. Here's why that matters for production AI apps.
Why it matters
Vercel's new per-inference timeout feature enables faster automatic failover between LLM providers, reducing downtime and improving reliability for production AI applications. This is infrastructure-layer optimization that directly impacts SLA performance for teams running multi-provider AI stacks.
The key facts
10 to knowFeature: Per-inference custom timeouts in milliseconds for AI Gateway
Availability: Beta for BYOK (Bring Your Own Key) credentials; system provider timeouts coming soon
Benefit: Faster fallback to next available provider vs. provider defaults
Caveat: Some providers don't support stream cancellation, may still charge for timed-out requests
Use case: Multi-provider failover orchestration with configurable provider sequence
Per-inference timeouts now available in beta for BYOK credentials
Configurable timeouts in milliseconds to trigger automatic failover
System provider timeouts coming soon
Some providers don't support stream cancellation (cost risk)
Feature integrates with multi-provider failover sequencing
Go to the source
Vercel Blogvercel.com
Publisher excerpt: AI Gateway now supports per-inference timeouts for faster failover than the provider default. If a provider doesn't start responding within your configured timeout, AI Gateway aborts the request and falls back to the next available provider.provider Provider timeouts are available in beta for BYOK…