AgentSkillsCN

vercel-ai-sdk

将Vercel AI SDK集成至Remix应用,打造AI聊天机器人、文本补全功能,以及在Shopify应用中构建各类AI代理。

SKILL.md
--- frontmatter
name: vercel-ai-sdk
description: Guide for integrating Vercel AI SDK into Remix apps. Build AI chatbots, text completion, and agents within your Shopify app.

Vercel AI SDK for Remix Integration

The Vercel AI SDK is the standard for building AI UIs. It abstracts streaming, state management, and provider differences.

1. Setup

bash
npm install ai @ai-sdk/openai

2. Server-side Streaming (action function)

Remix uses Response objects. The AI SDK has a helper StreamingTextResponse.

typescript
// app/routes/api.chat.ts
import { streamText } from 'ai';
import { openai } from '@ai-sdk/openai';
import { ActionFunctionArgs } from "@remix-run/node";

export const action = async ({ request }: ActionFunctionArgs) => {
  const { messages } = await request.json();

  const result = await streamText({
    model: openai('gpt-4-turbo'),
    messages,
  });

  return result.toDataStreamResponse();
};

3. Client-side UI hooks

Use useChat to manage message state and input automatically.

tsx
// app/routes/app.assistant.tsx
import { useChat } from 'ai/react';

export default function AssistantPage() {
  const { messages, input, handleInputChange, handleSubmit } = useChat({
    api: '/api/chat', // points to the action above
  });

  return (
    <div className="chat-container">
      {messages.map(m => (
        <div key={m.id} className={m.role === 'user' ? 'user-msg' : 'ai-msg'}>
          {m.content}
        </div>
      ))}
      
      <form onSubmit={handleSubmit}>
        <input 
          value={input} 
          onChange={handleInputChange} 
          placeholder="Ask AI something..."
        />
        <button type="submit">Send</button>
      </form>
    </div>
  );
}

4. Shopify Context Injection

You often want the AI to know about the current Store. Retrieve data in the action and inject it as a "System Message".

typescript
// app/routes/api.chat.ts
const { session } = await authenticate.admin(request);
// Fetch store data with Mongoose
const products = await Product.find({ shop: session.shop }).limit(5).lean();
const contextInfo = JSON.stringify(products);

const result = await streamText({
  model: openai('gpt-4o'),
  system: `You are a helper for shop ${session.shop}. Here are likely relevant products: ${contextInfo}`,
  messages,
});

5. Deployment Note (Streaming)

Streaming works out-of-the-box on Vercel, Fly.io, and VPS. If using standard Node.js adapter, ensure your server supports standard Web Streams (Node 18+).