vercel-functions

# Vercel Functions You are an expert in Vercel Functions — the compute layer of the Vercel platform. ## Function Types ### Serverless Functions (Node.js) - Full Node.js runtime, all npm packages available - Default for Next.js API routes, Server Actions, Server Components - Cold starts: 800ms–2.5s (with DB connections) - Max duration: 10s (Hobby), 300s (Pro default), 800s (Fluid Compute Pro/Enterprise) ```ts // app/api/hello/route.ts export async function GET() { return Response.json({ message: 'Hello from Node.js' }) } ``` ### Edge Functions (V8 Isolates) - Lightweight V8 runtime, Web Standard APIs only - Ultra-low cold starts (<1ms globally) - Limited API surface (no full Node.js) - Best for: auth checks, redirects, A/B testing, simple transformations ```ts // app/api/hello/route.ts export const runtime = 'edge' export async function GET() { return new Response('Hello from the Edge') } ``` ### Bun Runtime (Public Beta) Add `"bunVersion": "1.x"` to `vercel.json` to run Node.js functions on Bun instead. ~28% lower latency for CPU-bound workloads. Supports Next.js, Express, Hono, Nitro. ### Rust Runtime (Public Beta) Rust functions run on Fluid Compute with HTTP streaming and Active CPU pricing. Built on the community Rust runtime. Supports environment variables up to 64 KB. ### Node.js 24 LTS Node.js 24 LTS is now GA on Vercel for both builds and functions. Features V8 13.6, global `URLPattern`, Undici v7 for faster `fetch()`, and npm v11. ### Choosing Runtime | Need | Runtime | Why | |------|---------|-----| | Full Node.js APIs, npm packages | `nodejs` | Full compatibility | | Lower latency, CPU-bound work | `nodejs` + Bun | ~28% latency reduction | | Ultra-low latency, simple logic | `edge` | <1ms cold start, global | | Database connections, heavy deps | `nodejs` | Edge lacks full Node.js | | Auth/redirect at the edge | `edge` | Fastest response | | AI streaming | Either | Both support streaming | | Systems-level performance | `rust` (beta) | Native speed, Fluid Compute | ## Fluid Compute Fluid Compute is the unified execution model for all Vercel Functions (both Node.js and Edge). Key benefits: - **Optimized concurrency**: Multiple invocations on a single instance — up to 85% cost reduction for high-concurrency workloads - **Extended durations**: Default 300s for all plans; up to 800s on Pro/Enterprise - **Active CPU pricing**: Charges only while CPU is actively working, not during idle/await time. Enabled by default for all plans. Memory-only periods billed at a significantly lower rate. - **Background processing**: `waitUntil` / `after` for post-response tasks - **Dynamic scaling**: Automatic during traffic spikes - **Bytecode caching**: Reduces cold starts via Rust-based runtime with pre-compiled function code - **Multi-region failover**: Default for Enterprise when Fluid is activated ### Instance Sizes | Size | CPU | Memory | |------|-----|--------| | Standard (default) | 1 vCPU | 2 GB | | Performance | 2 vCPU | 4 GB | Hobby projects use Standard CPU. The Basic CPU instance has been removed. ### Background Processing with `waitUntil` ```ts // Continue work after sending response import { waitUntil } from '@vercel/functions' export async function POST(req: Request) { const data = await req.json() // Send response immediately const response = Response.json({ received: true }) // Continue processing in background waitUntil(async () => { await processAnalytics(data) await sendNotification(data) }) return response } ``` ### Next.js `after` (equivalent) ```ts import { after } from 'next/server' export async function POST(req: Request) { const data = await req.json() after(async () => { await logToAnalytics(data) }) return Response.json({ ok: true }) } ``` ## Streaming Zero-config streaming for both runtimes. Essential for AI applications. ```ts export async function POST(req: Request) { const encoder = new TextEncoder() const stream = new ReadableStream({ async start(controller) { for (const chunk of data) { controller.enqueue(encoder.encode(chunk)) await new Promise(r => setTimeout(r, 100)) } controller.close() }, }) return new Response(stream, { headers: { 'Content-Type': 'text/event-stream' }, }) } ``` For AI streaming, use the AI SDK's `toUIMessageStreamResponse()` (for chat UIs with `useChat`) which handles SSE formatting automatically. ## Cron Jobs Schedule function invocations via `vercel.json`: ```json { "crons": [ { "path": "/api/daily-report", "schedule": "0 8 * * *" }, { "path": "/api/cleanup", "schedule": "0 */6 * * *" } ] } ``` The cron endpoint receives a normal HTTP request. Verify it's from Vercel: ```ts export async function GET(req: Request) { const authHeader = req.headers.get('authorization') if (authHeader !== `Bearer ${process.env.CRON_SECRET}`) { return new Response('Unauthorized', { status: 401 }) } // Do scheduled work return Response.json({ ok: true }) } ``` ## Configuration via vercel.json **Deprecation notice**: Support for the legacy `now.json` config file will be removed on **March 31, 2026**. Rename `now.json` to `vercel.json` (no content changes required). ```json { "functions": { "app/api/heavy/**": { "maxDuration": 300, "memory": 1024 }, "app/api/edge/**": { "runtime": "edge" } } } ``` ## Timeout Limits All plans now default to 300s execution time with Fluid Compute. | Plan | Default | Max | |------|---------|-----| | Hobby | 300s | 300s | | Pro | 300s | 800s | | Enterprise | 300s | 800s | ## Common Pitfalls 1. **Cold starts with DB connections**: Use connection pooling (e.g., Neon's `@neondatabase/serverless`) 2. **Edge limitations**: No `fs`, no native modules, limited `crypto` — use Node.js runtime if needed 3. **Timeout exceeded**: Use Fluid Compute for long-running tasks, or Workflow DevKit for very long processes 4. **Bundle size**: Python runtime supports up to 500MB; Node.js has smaller limits 5. **Environment variables**: Available in all functions automatically; use `vercel env pull` for local dev ## Function Runtime Diagnostics ### Timeout Diagnostics ``` 504 Gateway Timeout? ├─ All plans default to 300s with Fluid Compute ├─ Pro/Enterprise: configurable up to 800s ├─ Long-running task? │ ├─ Under 5 min → Use Fluid Compute with streaming │ ├─ Up to 15 min → Use Vercel Functions with `maxDuration` in vercel.json │ └─ Hours/days → Use Workflow DevKit (DurableAgent or workflow steps) └─ DB query slow? → Add connection pooling, check cold start, use Edge Config ``` ### 500 Error Diagnostics ``` 500 Internal Server Error? ├─ Check Vercel Runtime Logs (Dashboard → Deployments → Functions tab) ├─ Missing env vars? → Compare `.env.local` against Vercel dashboard settings ├─ Import error? → Verify package is in `dependencies`, not `devDependencies` └─ Uncaught exception? → Wrap handler in try/catch, use `after()` for error reporting ``` ### Invocation Failure Diagnostics ``` "FUNCTION_INVOCATION_FAILED"? ├─ Memory exceeded? → Increase `memory` in vercel.json (up to 3008 MB on Pro) ├─ Crashed during init? → Check top-level await or heavy imports at module scope └─ Edge Function crash? → Check for Node.js APIs not available in Edge runtime ``` ### Cold Start Diagnostics ``` Cold start latency > 1s? ├─ Using Node.js runtime? → Consider Edge Functions for latency-sensitive routes ├─ Large function bundle? → Audit imports, use dynamic imports, tree-shake ├─ DB connection in cold start? → Use connection pooling (Neon serverless driver) └─ Enable Fluid Compute to reuse warm instances across requests ``` ### Edge Function Timeout Diagnostics ``` "EDGE_FUNCTION_INVOCATION_TIMEOUT"? ├─ Edge Functions have 25s hard limit (not configurable) ├─ Move heavy computation to Node.js Serverless Functions └─ Use streaming to start response early, process in background with `waitUntil` ``` ## Official Documentation - [Vercel Functions](https://vercel.com/docs/functions) - [Serverless Functions](https://vercel.com/docs/functions) - [Edge Functions](https://vercel.com/docs/functions) - [Fluid Compute](https://vercel.com/docs/fluid-compute) - [Streaming](https://vercel.com/docs/functions/streaming) - [Cron Jobs](https://vercel.com/docs/cron-jobs) - [GitHub: Vercel](https://github.com/vercel/vercel)