Vercel AI SDK

Introducing the Vercel AI SDK: Streamlining AI App Development

The Vercel AI SDK is an open-source library designed to help developers build conversational, streaming, and chat user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, with support for Nuxt/Vue coming soon.

To install the SDK, enter the following command in your terminal:

npm install ai

You can also view the source code on GitHub.

Built-in LLM Adapters

Vercel's AI SDK embraces interoperability and includes first-class support for OpenAI, LangChain, and Hugging Face Inference. This means that regardless of your preferred AI model provider, you can leverage the Vercel AI SDK to create cutting-edge streaming UI experiences.

Supported Providers

The Vercel AI SDK supports a wide range of AI model providers, including:

• OpenAI
• Azure
• Anthropic
• Amazon Bedrock
• Google Generative AI
• Google Vertex AI
• Mistral
• Groq
• Perplexity
• Fireworks
• Cohere

This broad support for different providers ensures that developers can leverage the Vercel AI SDK regardless of their preferred AI model.

Streaming First UI Helpers

The Vercel AI SDK includes React and Svelte hooks for data fetching and rendering streaming text responses. These hooks enable real-time, dynamic data representation in your application, offering an immersive and interactive experience to your users.

Building a rich chat or completion interface now just takes a few lines of code thanks to useChat and useCompletion.

React Server Components Support

The Vercel AI SDK includes a set of tools and utilities for building AI-powered applications with React Server Components (RSC). Key features include:

• streamUI for streaming React Server Components on tool execution
• createAI for creating a context provider that shares state between the client and the language model running on the server
• createStreamableUI and createStreamableValue for creating UI components and values that can be rendered on the server and streamed to the client
• getAIState, getMutableAIState, useAIState, useUIState, and useActions for managing state and triggering server actions from the client

By leveraging these RSC-specific tools and APIs, you can build highly interactive, responsive, and efficient AI-powered applications with the Vercel AI SDK.

Stream Helpers and Callbacks

The Vercel AI SDK includes callbacks for storing completed streaming responses to a database within the same request. This feature allows for efficient data management and streamlines the entire process of handling streaming text responses.

By simplifying the integration of AI capabilities and providing a streamlined development experience, the Vercel AI SDK aims to empower developers to focus on creating innovative AI-powered solutions without the burden of complex infrastructure management.