# AI SDK

AI SDK is a TypeScript toolkit for building AI-powered applications and agents across supported model providers and web frameworks. It provides shared APIs for model generation, tool use, streaming, structured output, and AI user interfaces.

- Findings24: <https://findings24.com/tools/ai-sdk-4f26872f>
- Website: <https://ai-sdk.dev/>
- Pricing: Freemium
- Categories: AI Developer Tools, AI Agent Infrastructure, AI SDKs

## What is AI SDK?

AI SDK is a TypeScript toolkit from Vercel for building AI-powered applications and agents. It standardizes integration with supported language model providers and offers APIs for text generation, tool calls, streaming, structured output, and AI-driven interfaces.

Its main surfaces are AI SDK Core, AI SDK UI, and AI SDK Harnesses. Core handles model generation and agent-oriented workflows; UI provides framework-agnostic hooks for chat, completions, and streamed JSON; and HarnessAgent offers a uniform API for running established agent harnesses such as Claude Code, Codex, and Pi. The documentation includes framework examples for frontend and backend applications.

## What can AI SDK do?

### Unified model API

AI SDK standardizes common language-model integration patterns across supported providers, reducing the need to implement provider-specific request and response handling.

### Text generation and tool calls

AI SDK Core provides \`generateText\` for non-interactive generation and tool-using agents, plus \`streamText\` for interactive responses and streamed content.

### Structured, schema-validated output

Core generation functions support structured output through options such as \`Output.object()\` and \`Output.array()\`, useful for information extraction, classification, synthetic data, and generated UI data.

### Streaming UI hooks

AI SDK UI includes \`useChat\`, \`useCompletion\`, and \`useObject\` for streaming chat messages, text completions, and JSON objects while managing relevant frontend updates and state.

### Multi-framework UI support

The UI layer is documented for React, Vue.js, Svelte, Angular, and SolidJS, with framework-specific packages and examples such as Next.js, Nuxt, SvelteKit, and Angular.

### Agent harness integration

AI SDK Harnesses provide a uniform API through \`HarnessAgent\` for established harnesses including Claude Code, Codex, and Pi, using compatible stream and response primitives for AI SDK surfaces.

## Use Cases

### Interactive chat applications

Use \`streamText\` with AI SDK UI’s \`useChat\` hook to deliver streamed responses and manage message, loading, error, and input state in a chat interface.

### Automation and content generation

Use \`generateText\` for non-interactive workflows such as drafting email or summarizing web pages, where a response can be generated without a live conversational UI.

### Structured data extraction

Generate typed, schema-validated objects or arrays for information extraction, classification, and other workflows that need data rather than free-form text.

### Tool-using agents

Build agent workflows that call tools with AI SDK Core, or connect established agent harnesses through \`HarnessAgent\` and consume their compatible streams and responses.

### Generative and structured interfaces

Use streamed JSON with \`useObject\` and AI SDK Core structured output to render data-driven or generative UI experiences; the site also provides templates for multi-step tools and streamed structured objects.

## Frequently Asked Questions

### What is AI SDK used for?

It is used to build AI-powered applications and agents with TypeScript, including chat interfaces, text generation workflows, tool-using agents, structured data generation, and streamed or generative UI.

### Which frontend frameworks does AI SDK UI support?

The documentation lists React, Vue.js, Svelte, Angular, and SolidJS. It also provides framework examples for Next.js, Nuxt, SvelteKit, and Angular.

### What is the difference between \`generateText\` and \`streamText\`?

\`generateText\` is intended for non-interactive generation, automation, and tool-using agents. \`streamText\` streams text and tool calls for interactive use cases such as chatbots and content streaming.

### Can AI SDK generate structured data instead of text?

Yes. AI SDK Core supports structured output through the \`output\` property, including \`Output.object()\` and \`Output.array()\`, for typed and schema-validated data workflows.

### Does AI SDK include model providers?

AI SDK standardizes integration across supported providers rather than being a single model. The site lists providers including OpenAI, Anthropic, Google Generative AI, xAI, Azure, Amazon Bedrock, and others; available capabilities differ by provider.

## Quick Facts

- **Product type**: TypeScript AI application toolkit
- **Publisher**: Vercel
- **Primary surfaces**: AI SDK Core, AI SDK UI, and AI SDK Harnesses
- **Frontend support**: React, Vue.js, Svelte, Angular, and SolidJS
- **Backend examples**: Node.js HTTP Server, Express, Hono, Fastify, and Nest.js
- **Pricing**: No pricing information was available on the reviewed site pages