Routing Middleware logo

Routing Middleware

Organization
vercel
routing-middleware

Vercel Routing Middleware guidance — request interception before cache, rewrites, redirects, personalization. Works with any framework. Supports Edge, Node.js, and Bun runtimes. Use when intercepting requests at the platform level.

Overview

Publishervercel
Repositoryvercel-plugin
Skill namerouting-middleware
Stars
286
Forks
56
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by vercel on GitHub. Read the source before you install it.

Installation

Install the Routing Middleware AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vercel/vercel-plugin.git /tmp/vercel-plugin
mkdir -p .claude/skills
cp -r /tmp/vercel-plugin/skills/routing-middleware .claude/skills/routing-middleware
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Routing Middleware in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Routing Middleware on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Routing Middleware is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Vercel Routing Middleware

You are an expert in Vercel Routing Middleware — the platform-level request interception layer.

What It Is

Routing Middleware runs before the cache on every request matching its config. It is a Vercel platform feature (not framework-specific) that works with Next.js, SvelteKit, Astro, Nuxt, or any deployed framework. Built on Fluid Compute.

  • Preferred platform configuration: Set proxy.entrypoint in vercel.json. The entrypoint can use any supported filename or directory and runs on Node.js. Frameworks that build their own routing middleware (Next.js, Astro) do not use the proxy property; use the framework's file convention instead.
  • File convention: middleware.ts or middleware.js at the project root. This convention defaults to Edge; set runtime: 'nodejs' to use Node.js.
  • Next.js 16: Use proxy.ts and export proxy. Next.js Proxy runs on Node.js only.

CRITICAL: Middleware Disambiguation

There are THREE "middleware" concepts in the Vercel ecosystem:

ConceptFileRuntimeScopeWhen to Use
Vercel Routing Middlewareproxy.entrypoint or middleware.tsNode/Edge/BunAny framework, platform-levelRequest interception before cache: rewrites, redirects, geo, A/B
Next.js 16 Proxyproxy.ts (root, or src/proxy.ts if using --src-dir)Node.js onlyNext.js 16+ onlyNetwork-boundary proxy needing full Node APIs. NOT for auth.
Vercel FunctionsRoute or function fileNode/Bun/Python/RustGeneral-purposeRequest handlers and backend compute, not an interception layer

Why the rename in Next.js 16: middleware.tsproxy.ts clarifies it sits at the network boundary (not general-purpose middleware). Partly motivated by CVE-2025-29927 (middleware auth bypass via x-middleware-subrequest header). The exported function must also be renamed from middleware to proxy. Migration codemod: npx @next/codemod@latest middleware-to-proxy

Deprecation: Next.js 16 still accepts middleware.ts but treats it as deprecated and logs a warning. It will be removed in a future version.

Bun Runtime

To run Routing Middleware (and all Vercel Functions) on Bun, add bunVersion to vercel.json:

json
{
  "bunVersion": "1.x"
}

Set the middleware runtime to nodejs — Bun replaces the Node.js runtime transparently:

ts
export const config = {
  runtime: 'nodejs', // Bun swaps in when bunVersion is set
};

Bun reduces average latency by ~28% in CPU-bound workloads. Currently in Public Beta — supports Next.js, Express, Hono, and Nitro.

Basic Example

Configure an explicit entrypoint for framework-agnostic Routing Middleware:

json
{
  "$schema": "https://openapi.vercel.sh/vercel.json",
  "proxy": {
    "entrypoint": "proxy.ts",
    "matcher": ["/((?!_next/static|favicon.ico).*)"]
  }
}
ts
// proxy.ts
import { geolocation, rewrite } from '@vercel/functions';

export default function proxy(request: Request) {
  const { country } = geolocation(request);
  const url = new URL(request.url);
  url.pathname = country === 'US' ? '/us' + url.pathname : '/intl' + url.pathname;
  return rewrite(url);
}

Helper Methods (@vercel/functions)

For non-Next.js frameworks, import from @vercel/functions:

HelperPurpose
next()Continue middleware chain (optionally modify headers)
rewrite(url)Transparently serve content from a different URL
geolocation(request)Get city, country, latitude, longitude, region
ipAddress(request)Get client IP address
waitUntil(promise)Keep function running after response is sent

For Next.js, NextResponse provides next(), rewrite(), and redirect(). Use geolocation(request) and ipAddress(request) from @vercel/functions; NextRequest.geo and NextRequest.ip were removed in Next.js 15.

Matcher Configuration

Middleware runs on every route by default. Use config.matcher to scope it:

ts
// Single path
export const config = { matcher: '/dashboard/:path*' };

// Multiple paths
export const config = { matcher: ['/dashboard/:path*', '/api/:path*'] };

// Regex: exclude static files
export const config = {
  matcher: ['/((?!_next/static|favicon.ico).*)'],
};

Tip: Using matcher is preferred — unmatched paths skip middleware invocation entirely (saves compute).

Common Patterns

IP-Based Header Injection

ts
import { ipAddress, next } from '@vercel/functions';

export default function middleware(request: Request) {
  return next({ headers: { 'x-real-ip': ipAddress(request) || 'unknown' } });
}

A/B Testing via Global Config

ts
import { get } from '@vercel/global-config';
import { rewrite } from '@vercel/functions';

export default async function middleware(request: Request) {
  const variant = await get('experiment-homepage'); // <1ms read
  const url = new URL(request.url);
  url.pathname = variant === 'B' ? '/home-b' : '/home-a';
  return rewrite(url);
}

Background Processing

ts
import type { RequestContext } from '@vercel/functions';

export default function middleware(request: Request, context: RequestContext) {
  context.waitUntil(
    fetch('https://analytics.example.com/log', { method: 'POST', body: request.url })
  );
  return new Response('OK');
}

Request Limits

LimitValue
Max URL length14 KB
Max request body4 MB
Max request headers64 headers / 16 KB total

Three CDN Routing Mechanisms

Vercel's CDN supports three routing mechanisms, evaluated in this order:

OrderMechanismScopeDeploy RequiredHow to Configure
1Bulk RedirectsUp to 1M static path→path redirectsNo (runtime via Dashboard/API/CLI)Dashboard, CSV upload, REST API
2Project-Level RoutesHeaders, rewrites, redirectsNo (instant publish)Dashboard, REST API, vercel routes CLI
3Deployment Config RoutesFull routing rulesYes (deploy)vercel.json, vercel.ts, next.config.ts

Project-level routes (added March 2026) let you update routing rules — response headers, rewrites to external APIs — without triggering a new deployment. They run after bulk redirects and before deployment config routes. Available on all plans.

Project-Level Routes — Configuration Methods

Project-level routes take effect instantly (no deploy required). Three ways to manage them:

MethodHow
DashboardProject → CDN → Routing tab. Live map of global traffic, cache management, and route editor in one view.
REST APIGET/POST/PATCH/DELETE /v1/projects/{projectId}/routes — 8 dedicated endpoints for CRUD on project routes.
Vercel CLIUse vercel routes to stage, inspect, publish, restore, and export project-level rules.

Deployment-level routes in vercel.json, vercel.ts, or framework config are a separate mechanism (row 3 above) and require a deploy.

Use project-level routes for operational changes (CORS headers, API proxy rewrites, A/B redirects) that shouldn't require a full redeploy.

Programmatic Configuration with vercel.ts

Instead of static vercel.json, you can use vercel.ts (or .js, .mjs, .cjs, .mts) with the @vercel/config package for type-safe, dynamic routing configuration:

ts
// vercel.ts
import { routes, type VercelConfig } from '@vercel/config/v1';

export const config: VercelConfig = {
  rewrites: [
    routes.rewrite('/api/(.*)', 'https://backend.example.com/$1'),
  ],
  headers: [
    routes.header('/(.*)', [{ key: 'X-Frame-Options', value: 'DENY' }]),
  ],
};

For project-level rules that take effect without a deployment, use vercel routes add, inspect staged changes with vercel routes list --diff, then run vercel routes publish.

Constraint: Only one config file per project — vercel.json or vercel.ts, not both.

When to Use

  • Geo-personalization of static pages (runs before cache)
  • A/B testing rewrites with Global Config
  • Custom redirects based on request properties
  • Header injection (CSP, CORS, custom headers)
  • Lightweight auth checks (defense-in-depth only — not sole auth layer)
  • Project-level routes for headers/rewrites without redeploying

When NOT to Use

  • Need full Node.js APIs in Next.js → use proxy.ts
  • General compute or request handling → use Vercel Functions on the default Node.js runtime
  • Heavy business logic or database queries → use server-side framework features
  • Auth as sole protection → use Layouts, Server Components, or Route Handlers
  • Thousands of static redirects → use Bulk Redirects (up to 1M per project)

References

Frequently asked questions

What does the Routing Middleware AI skill do?

Vercel Routing Middleware guidance — request interception before cache, rewrites, redirects, personalization. Works with any framework. Supports Edge, Node.js, and Bun runtimes. Use when intercepting requests at the platform level.

Why use Routing Middleware on TypingMind?

Because you install it once and use it with any model. Routing Middleware is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Routing Middleware in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vercel/vercel-plugin/tree/main/skills/routing-middleware. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Routing Middleware?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Routing Middleware?

As many as you like. As long as a model supports skills, you can use Routing Middleware with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Routing Middleware AI skill free?

It is published on GitHub by vercel. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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