vercel-ai-gateway

Construct SDK-compliant gateway options for multi-provider AI model routing with fallback.

7|Updated Dec 4, 2025

Search Tags:#vercel #fallback #gateway #model-routing #provider-options #hostOrder #multi-host

Ready to run

npx skills add https://github.com/planetaryescape/blah.chat --skill vercel-ai-gateway

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: vercel-ai-gateway
Source: https://github.com/planetaryescape/blah.chat/tree/main/.claude/skills/vercel-ai-gateway
Command: npx skills add https://github.com/planetaryescape/blah.chat --skill vercel-ai-gateway

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables reliable routing of AI model requests across multiple inference providers with automatic fallback and per-model host order configuration, ensuring higher availability and performance.

Core Features & Use Cases

Host order configuration: specify a prioritized list of providers to try for a given model.
Gateway options wrapper: produce SDK-compliant { gateway: { ... } } blocks for Vercel AI Gateway integration.
Usage scenarios: multi-host deployments, quick fallback tuning, analytics-friendly routing.

Quick Start

Configure a model to use Cerebras first, then Groq as a fallback, and pass the generated gateway options to the generation call (providerOptions).

Frequently Asked Questions about vercel-ai-gateway

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I configure multi-provider AI model routing with automatic fallback?▼

Multi-provider AI model routing with automatic fallback is configured by specifying a prioritized host order list for providers and passing the generated SDK-compliant gateway options into the providerOptions for your generation call.

What is host order configuration for AI model requests?▼

Host order configuration is the process of specifying a prioritized list of inference providers to try for a given model, ensuring higher availability and performance through automatic fallback during multi-host deployments.

How do I use getGatewayOptions to build a gateway wrapper for Vercel AI?▼

You use getGatewayOptions to construct a { gateway: { user, tags, order } } object, which produces an SDK-compliant gateway wrapper block for seamless Vercel AI Gateway integration during generation.

Does the Vercel AI Gateway support per-model provider options for deterministic behavior?▼

Yes, the Vercel AI Gateway supports per-model host order and SDK-compliant gateway options, allowing you to construct { gateway: { user, tags, order } } objects for deterministic behavior across multiple providers.

When do I need a gateway options wrapper for multi-host AI deployments?▼

You need a gateway options wrapper for multi-host AI deployments when your workflows require reliable routing across multiple inference providers with automatic fallback, higher availability, and analytics-friendly performance tuning.