AI SDK

AI SDK is a TypeScript toolkit for building AI apps and agents across frameworks and providers, with unified APIs for generation, tools, streaming, and chat.

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Overview

AI SDK is a TypeScript toolkit for building AI applications and agents. It is positioned as a framework-agnostic layer for developers who want to integrate large language models without wiring each provider separately.

The site highlights support for modern streaming, fallbacks, and multi-model workflows, along with surfaces for core generation APIs and UI hooks. It also shows an ecosystem of templates and adjacent tools for common AI app patterns, including chat, retrieval, tool use, and agent workflows.

Features

AI SDK Core

Provides a unified TypeScript API for text generation, structured objects, tool calls, and agent workflows so apps can use one interface across model providers.

AI SDK UI

Offers framework-agnostic hooks for chat and generative interfaces, which helps teams build UI without tying the product to one frontend stack.

Multi-provider model support

Supports switching between multiple providers and models with one line of code, reducing provider-specific branching in application logic.

Streaming and fallbacks

Includes streaming and fallback behavior for production use, allowing applications to deliver real-time responses and handle model interruptions more gracefully.

Broad provider coverage

Documents support for a broad provider ecosystem, including major vendors such as OpenAI, Anthropic, Google, xAI, Azure, Bedrock, Groq, and more.

Starter templates and recipes

Surfaces templates and recipes for common builds such as chatbots, Slackbots, SQL agents, retrieval apps, and multi-modal experiences.

Use Cases

AI chat applications
Build chat products that need streaming responses, persistence, or multi-modal interactions using the provided SDK surfaces and templates.
Agent and workflow builders
Create agents that call tools, return structured objects, and handle multi-step workflows with the core generation APIs.
Multi-model applications
Switch between model providers or route requests through Vercel AI Gateway when you want provider flexibility without rewriting application logic.
Cross-framework app development
Build framework-specific AI experiences in React, Next.js, Vue, Svelte, or Node.js while keeping the SDK layer consistent.
Prototyping and template-driven builds
Use the playground and templates to compare models and start from common patterns such as Slackbots, SQL agents, and retrieval apps.

Pros and Cons

Pros

Works across several popular frameworks and runtimes, including React, Next.js, Vue, Svelte, and Node.js.
Provides a unified API for text generation, structured output, tool calls, and agent building.
Supports multiple model providers, making it easier to switch models without redesigning the app.
Includes UI hooks and starter templates for common AI product patterns.
Backed by Vercel and presented with documentation, playground, and recipe-driven examples.

Cons

The pricing page was unavailable in the collected sources, so plan details and cost structure could not be verified.
The source materials emphasize documentation and examples more than implementation constraints, so some setup details are not visible here.

FAQ

Who is the AI SDK for?

Yes. The docs describe the AI SDK as a TypeScript toolkit for building AI applications and agents with React, Next.js, Vue, Svelte, Node.js, and more.

What are the main parts of the product?

The docs present AI SDK Core for generating text, structured objects, tool calls, and agents, and AI SDK UI for framework-agnostic chat and generative interfaces.

Which model providers are supported?

The source shows support for multiple providers, including Vercel AI Gateway, OpenAI, Anthropic, Google Generative AI, xAI Grok, Azure, Amazon Bedrock, Groq, Fal AI, DeepInfra, Google Vertex AI, Mistral, Together.ai, Cohere, Fireworks, DeepSeek, Cerebras, Perplexity, Luma AI, and Baseten.

Is pricing shown on the website?

No pricing details were available from the pricing page because it returned a server error in the collected sources.