What is AI SDK?
AI SDK is an open-source, framework-agnostic TypeScript toolkit that provides a unified API for building AI-powered applications and agents across React, Next.js, Vue, Svelte, Angular, Nuxt, Solid, and Node.js. Powered by Vercel, AI SDK distinguishes itself through multi-provider support that lets developers switch between more than 100 supported models with one line of code, alongside built-in streaming and production fallbacks.
Key Features
- Unified multi-provider API: AI SDK lets developers switch between providers and models with a single line of code, with over 100 models supported. This removes the need to rewrite integration code when changing model vendors.
- AI SDK Core: A single API surface for generating text, structured objects, and tool calls, and for building agents with large language models.
- AI SDK UI: A set of framework-agnostic hooks for building chat and generative user interfaces quickly across supported frontend frameworks.
- Streaming built in: Real-time responses work without custom parsing, so developers do not have to hand-roll stream handling for chat and generative interfaces.
- Built-in fallbacks: Reliable production behavior is available by default, allowing apps to degrade gracefully rather than fail when a model or provider has issues.
- AI Gateway compatibility: The SDK routes to any model through a single endpoint via Vercel AI Gateway, which provides access to 100+ models with no markup and without managing multiple API keys.
- Multi-modal generation: Beyond text generation, AI SDK covers image generation, speech transcription, video generation, and decision-making workflows.
- Ecosystem integrations: Companion tooling includes Vercel Sandbox for running agent-generated code securely at scale, Workflows for long-running agents that can suspend, resume, and survive function timeouts, and AI Elements, a UI component library and custom registry for AI-native applications.
Use Cases
- Chatbot development: Teams can build full-featured AI chatbots with persistence and multi-modal chat using the provided chatbot starter template and AI SDK UI hooks.
- Agent construction: Engineers building agents with many tools, resumable streams, and multi-step reasoning can rely on AI SDK Core rather than assembling streaming, tool call repair, and message management themselves.
- Messaging integrations: Developers can build a Slackbot agent that responds to direct messages and channel mentions, following the published recipe.
- Database interaction: A SQL agent recipe shows how to build an app that interacts with a PostgreSQL database using natural language.
- Multi-framework product teams: Organizations working across Next.js, React, Vue, Svelte, Angular, Nuxt, Solid, or Node.js can standardize on one AI layer instead of maintaining separate integrations per stack.
Who It Is For
AI SDK targets TypeScript developers and product teams building AI features into web applications and agents, particularly those working in React, Next.js, Vue, Svelte, Angular, Nuxt, Solid, or Node.js. It solves the problem of provider lock-in and repeated integration work by offering one API across more than 100 models, and it addresses common production gaps such as streaming, fallbacks, and tool call handling that teams would otherwise build themselves. Its adoption is substantial: the project reports 19.8 million weekly downloads, 27.5K GitHub stars, and 750+ contributors.
Pricing
AI SDK is described as an open-source toolkit and is installed via npm, so the SDK itself carries no listed cost in the source material. Related Vercel offerings referenced alongside it, such as AI Gateway, Vercel Sandbox, and Workflows, are separate products whose pricing is not stated in the source.
Frequently Asked Questions
What is AI SDK used for?
AI SDK is used to build AI-powered applications and agents in TypeScript, including chatbots, generative user interfaces, and tool-using agents. It provides a unified API for text generation, structured objects, tool calls, image generation, speech transcription, and video generation across more than 100 models.
Which frameworks does AI SDK support?
AI SDK is framework-agnostic and lists support for React, Next.js, Vue, Svelte, Angular, Nuxt, Solid, and Node.js. Its UI layer provides framework-agnostic hooks for chat and generative interfaces.
Is AI SDK free?
AI SDK is an open-source toolkit installed through npm, and the source material does not list a price for the SDK itself. Costs associated with the underlying model providers or with companion Vercel products are not specified in the source.
How does AI SDK handle multiple AI providers?
AI SDK supports multi-provider setups where switching providers takes one line of code, with over 100 models supported. It is also compatible with Vercel AI Gateway, which routes to any model through a single endpoint without requiring management of multiple API keys.
Who should use AI SDK?
AI SDK suits TypeScript developers and teams building AI features into web apps or agents who want to avoid provider lock-in and skip building streaming, fallbacks, and tool call handling from scratch. Teams already working in supported frameworks such as Next.js, React, or Svelte are the most direct fit.