Is the AI SDK free to use?

Yes, the AI SDK is free and open source. However, you will incur costs from the AI providers (e.g., OpenAI, Anthropic) based on your usage of their models.

How do I get started with the AI SDK?

Visit the getting started page on the AI SDK documentation to learn how to install the SDK and integrate it with your preferred framework.

Can I use the AI SDK with frameworks other than Next.js?

Yes, the AI SDK is framework-agnostic and supports React, Vue, Svelte, Node.js, and more.

How can I contribute to the AI SDK?

You can contribute by submitting bug reports, feature requests, or pull requests on the AI SDK's GitHub repository.

What AI providers are supported by the AI SDK?

The AI SDK supports multiple providers, including OpenAI, Anthropic, Google, Microsoft Azure, and more. A complete list is available in the documentation.

Does the AI SDK support streaming?

Yes, the AI SDK supports streaming AI responses for improved user experience.

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AI SDK

4.7

Free

Developers praise the AI SDK for its ease of use, unified API, and rapid development capabilities, but some note the reliance on external AI provider costs.

The AI Toolkit for TypeScript, enabling developers to build AI-powered applications with a unified API.

DevelopmentFree pricingAPI availableUpdated 2026-04-01

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Text GenerationStructured Data Generation

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Editorial Note

The AI Toolkit for TypeScript, enabling developers to build AI-powered applications with a unified API.

About AI SDK

The AI SDK is a free, open-source TypeScript toolkit designed to simplify the integration of Large Language Models (LLMs) into applications. It provides a unified API that abstracts the complexities of different AI providers like OpenAI, Anthropic, and Google, enabling developers to switch between them with minimal code changes. The SDK supports multiple frameworks including React, Next.js, Vue, and Svelte. It offers features like streaming AI responses, tool calling, and structured data generation. It also includes pre-built UI components and hooks to accelerate the development of AI-powered chatbots and generative user interfaces. By standardizing AI model integration, the AI SDK allows developers to focus on application logic and user experience rather than low-level API details, significantly reducing development time and vendor lock-in.

Quick Summary

The AI Toolkit for TypeScript, enabling developers to build AI-powered applications with a unified API.

5-15 minutesSetup: medium

AI DevelopmentAI SDK

Product Release Intel

Data Freshness

Checked Apr 1, 2026

Visual Preview

Quick visual proof for AI SDK. Helps non-technical users understand the interface faster.

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Sources tracked: 6

Core Capabilities

The AI SDK is a free, open-source TypeScript toolkit designed to simplify the integration of Large Language Models (LLMs) into applications.

Use Cases

Building a Customer Support Chatbot

Automating responses to common customer inquiries, reducing the workload on human agents.

VIEW EXECUTION STEPS

Use the AI SDK to integrate with a language model (e.g., OpenAI GPT-4).

Train the model on a knowledge base of customer support articles.

Implement a chat interface using the AI SDK's UI components.

Use tool calling to access customer data from a CRM system.

Route complex inquiries to human agents.

Generating Product Descriptions

Creating high-quality, SEO-optimized product descriptions at scale.

VIEW EXECUTION STEPS

Use the AI SDK to generate text based on product attributes (e.g., name, features, benefits).

Optimize the descriptions for search engines using keyword research.

Integrate with an e-commerce platform to automatically update product listings.

Use streaming to preview descriptions in real-time.

A/B test different descriptions to maximize conversion rates.

Creating a Code Generation Tool

Automating the generation of code snippets based on natural language descriptions.

VIEW EXECUTION STEPS

Use the AI SDK to integrate with a code generation model (e.g., Codex).

Implement a user interface for specifying the desired code.

Use tool calling to access external libraries and APIs.

Generate code snippets based on the user's input.

Provide options for editing and testing the generated code.

Building an Internal Knowledge Base

Providing employees with quick access to relevant information and documents.

VIEW EXECUTION STEPS

Use the AI SDK to index and search a collection of internal documents.

Implement a chat interface for asking questions and retrieving information.

Use Language Model Middleware for RAG to improve the accuracy of search results.

Integrate with existing collaboration tools (e.g., Slack, Microsoft Teams).

Track usage and identify gaps in the knowledge base.

Generating AI-Powered User Interfaces

Dynamically creating user interfaces based on user input and AI-generated content.

VIEW EXECUTION STEPS

Use the AI SDK to generate UI components based on data and user preferences.

Implement a streaming UI using React Server Components.

Integrate with a design system to ensure visual consistency.

Allow users to customize and personalize the UI.

A/B test different UI layouts to optimize user experience.

AI SDK

About AI SDK

Core Capabilities

Main Tasks

Develop AI applications

Orchestrate AI workflows

Generate text content

Tool Calling

What this tool is best suited for

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Key Features

Unified Provider API

Streaming AI Responses

Tool Calling

Framework-Agnostic UI Hooks

Language Model Middleware

Use Cases

Building a Customer Support Chatbot

Generating Product Descriptions

Creating a Code Generation Tool

Building an Internal Knowledge Base

Generating AI-Powered User Interfaces

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