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Table of Contents
1. Multi-provider support
2. Core functions
3. UI components
4. Framework support
5. Advanced functions
Simplify the interaction with multiple AI providers through consistent interfaces.
Home Web Front-end JS Tutorial AI SDK by Vercel: A Feet View

AI SDK by Vercel: A Feet View

Jan 25, 2025 am 12:33 AM

AI SDK by Vercel: A  Feet View

Vercel AI SDK: A powerful toolkit that simplifies AI application development

AI SDK by Vercel is a powerful TypeScript toolkit designed to simplify the process of building AI-driven applications. It provides developers with a unified API for interacting with various AI models and frameworks, making it easier to integrate advanced AI capabilities into web applications.

Core components:

  1. AI SDK Core: Provides a standardized way to generate text, structured objects and tool calls using large language models (LLM).
  2. AI SDK UI: Provides framework-independent Hooks for building chat and generative user interfaces.

Features:

1. Multi-provider support

AI SDK supports multiple AI model providers, including:

  • OpenAI
  • Azure OpenAI
  • Anthropic
  • Amazon Bedrock
  • Google AI
  • Hugging Face
  • Cohere
  • Replicate
  • And more…

2. Core functions

  • generateText(): Generate text from language model
  • streamText(): Stream text from a language model
  • generateObject(): Generate structured data from language model
  • streamObject(): Stream structured data from a language model
  • embed(): Generate embeddings for a single value
  • embedMany(): Generate embeddings for multiple values ??(batch embedding)

3. UI components

  • useChat(): Hook for building chat interface
  • useCompletion(): Hook for text completion interface
  • useObject(): Hook
  • for consuming streaming JSON objects
  • useAssistant(): Hook
  • for interacting with the OpenAI compatible assistant API

4. Framework support

AI SDK supports multiple front-end frameworks:

  • React
  • Next.js
  • Vue.js
  • Svelte
  • SolidJS

5. Advanced functions

  • Language model middleware: Enhance model behavior with features such as guardrails, Retrieval Augmentation Generation (RAG), caching, and logging.
  • Multi-modal support: Handle text, images and other data types in AI interactions.
  • Tool Usage: Define and use custom tools for complex AI interactions.

Application scenarios:

  1. Chat robot and dialogue interface: build a high -level chat application with real -time streaming response.
  2. Content generation:
  3. Create applications used to generate articles, abstracts or creative writing. Code generation and auxiliary:
  4. Develop AI -driven code assistant or code interpretation tool.
  5. Data analysis and visualization: Create tools that can use AI function analysis and visual data.
  6. Language translation: Build applications that can translate texts between multiple languages.
  7. Segent search:
  8. Use embedded and similarity matching to achieve advanced search functions. Personalized recommendation:
  9. Create a recommendation system for products, content or services.
  10. Code example:
  11. Basic text generation
Use React's chat interface

Advantages:

import { generateText } from 'ai'
import { openai } from '@ai-sdk/openai'

const { text } = await generateText({
  model: openai('gpt-4o'),
  prompt: '用簡(jiǎn)單的術(shù)語(yǔ)解釋人工智能的概念。'
})

console.log(text)
<一> Uniform API:

Simplify the interaction with multiple AI providers through consistent interfaces.

import { useChat } from 'ai/react'

export default function ChatComponent() {
  const { messages, input, handleInputChange, handleSubmit } = useChat()

  return (
    <div>
      {messages.map(m => (
        <div key={m.id}>
          {m.role}: {m.content}
        </div>
      ))}

      <input type="text" value={input} onChange={handleInputChange} />
      <button onClick={handleSubmit}>發(fā)送</button>
    </div>
  )
}
Streaming support:

Support real -time and token stream transmission one by one, thereby achieving a rapid UI experience in response. Type Safety:

Built with TypeScript to improve the experience and code reliability of developer.
  1. Framework has nothing to do: Core function can be used together with any JavaScript framework or at runtime.
  2. None of the server:
  3. Seamless collaboration with a server -free and edge computing environment. Expansion:
  4. Support custom tools and middleware for senior cases.
  5. Getting started:
  6. To start using AI SDK, please install the core package and any of the packs you need to provide:
  7. Summary:
  8. Vercel's AI SDK provides a comprehensive solution for developers who want to integrate its AI function into their applications. With its unified API and multi -provider support and framework design, it simplifies the process of building a complex AI function. Regardless of whether you are creating a chatbot, content generating tools, or complex AI assistants, AI SDK provides tools and flexibility to realize your ideas.
  9. For more information and detailed documents, visit the official AI SDK website.

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