Vercel Edge LLM Proxy

Deploy your LLM proxy on Vercel's global edge network for ultra-low latency AI API access. Automatic scaling, global distribution, and seamless Next.js integration.

<50ms
Edge Latency
300+
Edge Locations
Auto
Scaling
🌍

Global Edge Network

All Systems Operational
Active Edge Locations
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US East
12ms
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EU West
18ms
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Asia Tokyo
22ms
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Australia
28ms
1.2M
Requests/Day
99.99%
Uptime
Zero
Cold Starts

Edge Features

Everything you need for production LLM proxy at the edge

⚑

Ultra-Low Latency

Sub-50ms response times with edge locations milliseconds away from your users worldwide.

🌍

Global Distribution

300+ edge locations across 70+ countries ensure your AI APIs are always close to users.

πŸ”„

Auto Scaling

Automatically scale to handle millions of requests without configuration or management.

πŸ”—

Next.js Integration

Seamless integration with Next.js applications using Edge Runtime and Middleware.

πŸ”’

Edge Security

Built-in DDoS protection, WAF, and secure environment variables at the edge.

πŸ“Š

Real-time Analytics

Monitor performance, track usage, and analyze latency across all edge locations.

Edge Middleware Example

middleware.ts
// Vercel Edge Middleware for LLM Proxy
import { NextResponse } from 'next/server'
import type { NextRequest } from 'next/server'

export const config = {
  runtime: 'edge',
  matcher: '/api/llm/:path*'
}

export async function middleware(request: NextRequest) {
  const startTime = Date.now()
  
  // Route to appropriate LLM provider
  const provider = request.headers.get('x-llm-provider') || 'openai'
  
  const response = await fetch(`https://api.${provider}.com/v1/`, {
    method: request.method,
    headers: {
      'Authorization': `Bearer ${process.env[provider.toUpperCase() + '_KEY']}`,
      'Content-Type': 'application/json'
    },
    body: request.body
  })
  
  // Add timing header
  const responseTime = Date.now() - startTime
  response.headers.set('x-edge-latency', responseTime.toString())
  
  return response
}

Deploy in Minutes

Get your LLM proxy running on the edge in four simple steps

1

Create Project

Initialize a Next.js project with Edge Runtime support

2

Add Middleware

Configure your LLM proxy logic in edge middleware

3

Set Environment

Add your API keys as secure environment variables

4

Deploy

Push to Vercel for automatic global edge deployment

Related Resources

LLM Proxy Request Logging

Edge-compatible logging for distributed request tracking.

LLM Proxy Response Caching

Edge caching for ultra-fast response delivery.

AWS Lambda LLM Proxy

Compare edge deployment with serverless Lambda functions.

Cloudflare Edge LLM Gateway

Alternative edge deployment with Cloudflare Workers.

Deploy to the Edge Today

Get your LLM proxy running on Vercel's global edge network with zero configuration overhead.