跳轉到主要內容

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概覽

Vercel AI SDK 是一個 TypeScript 工具包，用於使用 React、Next.js、Vue、Svelte 等框架構建 AI 驅動的串流應用程式。LemonData 可透過與 OpenAI 相容的 provider 無縫運作。

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安裝

npm install ai @ai-sdk/openai

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基本配置

import { createOpenAI } from '@ai-sdk/openai';

const lemondata = createOpenAI({
  apiKey: 'sk-your-lemondata-key',
  baseURL: 'https://api.lemondata.cc/v1',
});

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生成文字

import { generateText } from 'ai';

const { text } = await generateText({
  model: lemondata('gpt-4o'),
  prompt: 'What is LemonData?',
});

console.log(text);

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串流文字

import { streamText } from 'ai';

const result = await streamText({
  model: lemondata('gpt-4o'),
  prompt: 'Write a poem about AI.',
});

for await (const textPart of result.textStream) {
  process.stdout.write(textPart);
}

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對話訊息

import { generateText } from 'ai';

const { text } = await generateText({
  model: lemondata('gpt-4o'),
  messages: [
    { role: 'system', content: 'You are a helpful assistant.' },
    { role: 'user', content: 'What is the capital of France?' },
  ],
});

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使用不同的模型

// OpenAI GPT-4o
const gpt4Response = await generateText({
  model: lemondata('gpt-4o'),
  prompt: 'Hello!',
});

// Anthropic Claude
const claudeResponse = await generateText({
  model: lemondata('claude-sonnet-4-5'),
  prompt: 'Hello!',
});

// Google Gemini
const geminiResponse = await generateText({
  model: lemondata('gemini-2.5-flash'),
  prompt: 'Hello!',
});

// DeepSeek
const deepseekResponse = await generateText({
  model: lemondata('deepseek-r1'),
  prompt: 'Hello!',
});

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Next.js API 路由

// app/api/chat/route.ts
import { createOpenAI } from '@ai-sdk/openai';
import { streamText } from 'ai';

const lemondata = createOpenAI({
  apiKey: process.env.LEMONDATA_API_KEY,
  baseURL: 'https://api.lemondata.cc/v1',
});

export async function POST(req: Request) {
  const { messages } = await req.json();

  const result = streamText({
    model: lemondata('gpt-4o'),
    messages,
  });

  return result.toDataStreamResponse();
}

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React 對話組件

'use client';

import { useChat } from 'ai/react';

export default function Chat() {
  const { messages, input, handleInputChange, handleSubmit } = useChat({
    api: '/api/chat',
  });

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

      <form onSubmit={handleSubmit}>
        <input value={input} onChange={handleInputChange} />
        <button type="submit">Send</button>
      </form>
    </div>
  );
}

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工具調用

import { generateText, tool } from 'ai';
import { z } from 'zod';

const { text, toolCalls } = await generateText({
  model: lemondata('gpt-4o'),
  tools: {
    weather: tool({
      description: 'Get the weather in a location',
      parameters: z.object({
        location: z.string().describe('The location to get weather for'),
      }),
      execute: async ({ location }) => {
        return { temperature: 72, condition: 'sunny' };
      },
    }),
  },
  prompt: 'What is the weather in San Francisco?',
});

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結構化輸出

import { generateObject } from 'ai';
import { z } from 'zod';

const { object } = await generateObject({
  model: lemondata('gpt-4o'),
  schema: z.object({
    name: z.string(),
    age: z.number(),
    email: z.string().email(),
  }),
  prompt: 'Generate a fake user profile.',
});

console.log(object);

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環境變數

# .env.local
LEMONDATA_API_KEY=sk-your-lemondata-key

const lemondata = createOpenAI({
  apiKey: process.env.LEMONDATA_API_KEY,
  baseURL: 'https://api.lemondata.cc/v1',
});

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最佳實踐

在對話應用程式中始終使用串流，以提供即時回饋。
在 React 組件中實作適當的錯誤邊界 (Error Boundaries)。
切勿在用戶端程式碼中洩露您的 API key。請務必使用伺服器端 API 路由。