Vercel AI SDK

Install the SDK and initialize a language model from your chosen provider. Use the 'generateText' function for simple text generation or 'streamText' for streaming responses. Use the 'useChat' hook (React) or 'createMessage' helper (other frameworks) to manage conversation state in your UI. Define tools and let the SDK handle tool calling, function execution, and response streaming. Manage tokens with built-in tracking and use structured output APIs for JSON schema compliance. The SDK handles streaming setup, error handling, and provider-specific quirks-you focus on building features, not managing API details.

• •Multi-Provider Support: OpenAI, Anthropic, Google, Mistral, and other providers
• •Unified API: Consistent interface across all supported models and providers
• •Streaming: Built-in streaming support for real-time responses
• •Tool Calling: Framework for defining tools and handling autonomous tool use
• •UI Components: Pre-built React, Vue, and Svelte components for chat interfaces
• •Token Management: Built-in tracking and token limit handling
• •Structured Outputs: Generate JSON with schema compliance

Vercel AI SDK is ideal for full-stack developers building AI applications, teams using Next.js or similar frameworks, and developers wanting to switch AI providers without code changes. It's perfect for building AI chat features, customer-facing AI applications, and products requiring multiple AI capabilities. It's suited for startups and teams prioritizing developer productivity, companies wanting open-source AI infrastructure without vendor lock-in, and developers building modern web applications with AI features.