Vercel AI SDK

AI SDK — Technical Use Cases

AI SDK is purpose-built for developers constructing AI-powered applications and agents. Its multi-provider architecture, streaming primitives, and framework-agnostic design make it suitable for a wide range of production scenarios.

Common Developer Use Cases

• AI agent orchestration — build autonomous agents and multi-step workflows using the SDK's agent primitives and Vercel Workflows integration
• Streaming chat interfaces — implement real-time, token-by-token streaming in React, Next.js, Svelte, Vue, or other supported frameworks
• Multi-provider LLM routing — route requests across 100+ models via Vercel AI Gateway with fallback chains, enabling cost optimisation and high availability
• Framework integration — drop AI capabilities into existing Next.js, Nuxt, SolidJS, Angular, or Node.js backends without rewriting infrastructure
• Resilient production deployments — leverage built-in fallbacks to maintain uptime when individual model providers experience degraded performance
• Sandboxed AI execution — use Vercel Sandbox integration for isolated, secure AI task execution
• TypeScript-native AI apps — build fully type-safe AI features with first-class TypeScript support throughout

Audience

Developers building AI-powered applications and agents — particularly those who need provider flexibility, streaming UX, and production-grade reliability.