Infrastructure • Vercel AI SDK Official

Secure the
Edge
Runtime.

Securing Vercel AI SDK agents is paramount for building production-ready AI applications on Next.js. By deploying the SupraWall edge shim, developers can intercept tool calls from `streamText` and `generateText` in real-time, enforcing security policies at the edge before any backend systems are accessed.

Zero-Latency Interception

Vercel apps thrive on speed. The SupraWall runtime security layeris optimized for the Edge Runtime. By pre-compiling security policies into a highly efficient decision engine, we verify tool parameters (like `send_email` recipients or `database_query` complexity) in under 1ms.

Edge Native

Built for Vercel Edge Runtime and optimized for sub-1ms execution.

Stream Guard

Real-time monitoring of AI SDK streams for emergent security threats.

Type Safe

First-class support for TypeScript and the Vercel AI SDK 'tool' interface.

Cold Start Ready

Zero weight implementation that doesn't bloat your Lambda/Edge functions.

Streaming Security

The Vercel AI SDK relies on streaming for superior UX. Traditional firewalls wait for the full response. SupraWall works within the stream, allowing you to stop execution mid-sentence if the agent attempts to "leak" its own system prompt or access tools it shouldn't.

Implementation Checklist

npm install @suprawall/vercel-ai
Initialize the protector in your Next.js API route
Wrap your tools object with the 'protect' helper
Configure Edge Middleware for global budget caps
Enable real-time telemetry into the SupraWall Dashboard

Edge-Level Governance

Vercel AI SDK powers high-performance streaming agents. SupraWall integrates with the `tool` definition to provide pre-execution verification at the edge, ensuring zero-latency security.

Edge Function
RTT: 0.8ms
Stream started

Tool Intercepted

send_email()

Policy Verified • Resuming Stream

Ready to secure
your Vercel stack?