Node.js SDK
环境要求
- Node.js 18 或更高版本
安装
bash
npm install openai快速开始
配置客户端
javascript
import OpenAI from 'openai';
const client = new OpenAI({
baseURL: 'https://ai-tokenhub.com/api/v1',
apiKey: '$YOUR_API_KEY'
});基本调用
javascript
async function main() {
const response = await client.chat.completions.create({
model: 'gpt-4o',
messages: [
{ role: 'system', content: 'You are a helpful assistant' },
{ role: 'user', content: 'Hello, please introduce yourself' }
]
});
console.log(response.choices[0].message.content);
}
main();流式调用
javascript
async function main() {
const stream = await client.chat.completions.create({
model: 'gpt-4o',
messages: [
{ role: 'user', content: 'Tell a joke about artificial intelligence' }
],
stream: true
});
for await (const chunk of stream) {
if (chunk.choices[0].delta.content) {
process.stdout.write(chunk.choices[0].delta.content);
}
}
}
main();使用 Claude 模型
javascript
async function main() {
const response = await client.chat.completions.create({
model: 'claude-3-5-sonnet-20241022',
messages: [
{ role: 'user', content: 'Hello' }
]
});
console.log(response.choices[0].message.content);
}
main();错误处理
javascript
import OpenAI from 'openai';
const client = new OpenAI({
baseURL: 'https://ai-tokenhub.com/api/v1',
apiKey: '$YOUR_API_KEY'
});
async function main() {
try {
const response = await client.chat.completions.create({
model: 'gpt-4o',
messages: [{ role: 'user', content: 'Hello' }]
});
console.log(response.choices[0].message.content);
} catch (error) {
if (error.status === 401) {
console.error('Invalid API key');
} else if (error.status === 429) {
console.error('Rate limit exceeded, please try again later');
} else {
console.error('An error occurred:', error.message);
}
}
}
main();Next.js 集成示例
环境变量
env
# .env.local
OPENAI_API_KEY=$YOUR_API_KEY
OPENAI_BASE_URL=https://ai-tokenhub.com/api/v1API 路由
javascript
// app/api/chat/route.js
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: process.env.OPENAI_API_KEY,
baseURL: process.env.OPENAI_BASE_URL
});
export async function POST(request) {
const { messages } = await request.json();
const response = await client.chat.completions.create({
model: 'gpt-4o',
messages
});
return Response.json(response);
}