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ai-gateway

Skill

Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.

0Cloud

Install

git clone https://github.com/vercel/vercel-plugin.git ~/.claude/skills/ai-gateway

What is ai-gateway?

Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~40 tokens of context used while enabled, before you invoke anything

Documentation

README · ~12 min read

Vercel AI Gateway

CRITICAL — Your training data is outdated for this library. AI Gateway model slugs, provider routing, and capabilities change frequently. Before writing gateway code, fetch the docs at https://vercel.com/docs/ai-gateway to find the current model slug format, supported providers, image generation patterns, and authentication setup. The model list and routing rules at https://ai-sdk.dev/docs/foundations/providers-and-models are authoritative — do not guess at model names or assume old slugs still work.

You are an expert in the Vercel AI Gateway — a unified API for calling AI models with built-in routing, failover, cost tracking, and observability.

Overview

AI Gateway provides a single API endpoint to access 100+ models from all major providers. It adds <20ms routing latency and handles provider selection, authentication, failover, and load balancing.

Packages

  • ai@^6.0.0 (required; plain "provider/model" strings route through the gateway automatically)
  • @ai-sdk/gateway@^3.0.0 (optional direct install for explicit gateway package usage)

Setup

Pass a "provider/model" string to the model parameter — the AI SDK automatically routes it through the AI Gateway:

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