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.
Content generation:
2. Create applications used to generate articles, abstracts or creative writing. Code generation and auxiliary:
Develop AI -driven code assistant or code interpretation tool.
3. Data analysis and visualization: Create tools that can use AI function analysis and visual data.
4. Language translation: Build applications that can translate texts between multiple languages.
Segent search:
5. Use embedded and similarity matching to achieve advanced search functions. Personalized recommendation:
Create a recommendation system for products, content or services.
6. Code example:
7. Basic text generation

Use React's chat interface

Advantages:

<code class="language-javascript">import { generateText } from 'ai'
import { openai } from '@ai-sdk/openai'

const { text } = await generateText({
  model: openai('gpt-4o'),
  prompt: '用简单的术语解释人工智能的概念。'
})

console.log(text)</code>

Uniform API:

Simplify the interaction with multiple AI providers through consistent interfaces.

<code class="language-javascript">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}>发送</button>
    </div>
  )
}</code>

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.
None of the server:
2. Seamless collaboration with a server -free and edge computing environment. Expansion:
Support custom tools and middleware for senior cases.
3. Getting started:
4. To start using AI SDK, please install the core package and any of the packs you need to provide:
5. Summary:
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.
6. For more information and detailed documents, visit the official AI SDK website.

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