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| const express = require('express'); const cors = require('cors'); const axios = require('axios'); require('dotenv').config();
const app = express(); app.use(cors()); app.use(express.json());
const API_ENDPOINTS = { chatgpt: 'https://api.openai.com/v1/chat/completions', claude: 'https://api.anthropic.com/v1/messages', gemini: 'https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent', qianwen: 'https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation' };
const tokenManager = new TokenManager();
app.post('/api/:model/chat', async (req, res) => { try { const { model } = req.params; const { message } = req.body; if (!message) { return res.status(400).json({ error: '消息内容不能为空' }); } const apiKey = tokenManager.getAvailableAccount(model); if (!apiKey) { return res.status(503).json({ error: '当前模型暂时不可用' }); } let response; switch (model) { case 'chatgpt': response = await callChatGPT(apiKey, message); break; case 'claude': response = await callClaude(apiKey, message); break; case 'gemini': response = await callGemini(apiKey, message); break; case 'qianwen': response = await callQianwen(apiKey, message); break; default: return res.status(400).json({ error: '不支持的模型' }); } tokenManager.updateUsage(apiKey, response.usage?.total_tokens || 100); res.json({ response: response.content, usage: response.usage, model: model }); } catch (error) { console.error('聊天接口错误:', error); res.status(500).json({ error: '请求失败', details: error.message }); } });
async function callChatGPT(apiKey, message) { const response = await axios.post( API_ENDPOINTS.chatgpt, { model: 'gpt-3.5-turbo', messages: [{ role: 'user', content: message }], max_tokens: 1000, temperature: 0.7 }, { headers: { 'Authorization': `Bearer ${apiKey}`, 'Content-Type': 'application/json' } } ); return { content: response.data.choices[0].message.content, usage: response.data.usage }; }
async function callClaude(apiKey, message) { const response = await axios.post( API_ENDPOINTS.claude, { model: 'claude-3-haiku-20240307', max_tokens: 1000, messages: [{ role: 'user', content: message }] }, { headers: { 'x-api-key': apiKey, 'anthropic-version': '2023-06-01', 'content-type': 'application/json' } } ); return { content: response.data.content[0].text, usage: { total_tokens: response.data.usage.input_tokens + response.data.usage.output_tokens } }; }
async function callGemini(apiKey, message) { const response = await axios.post( `${API_ENDPOINTS.gemini}?key=${apiKey}`, { contents: [{ parts: [{ text: message }] }] } ); return { content: response.data.candidates[0].content.parts[0].text, usage: { total_tokens: 100 } }; }
async function callQianwen(apiKey, message) { const response = await axios.post( API_ENDPOINTS.qianwen, { model: 'qwen-max', input: { messages: [{ role: 'user', content: message }] }, parameters: { max_tokens: 1000, temperature: 0.7 } }, { headers: { 'Authorization': `Bearer ${apiKey}`, 'Content-Type': 'application/json' } } ); return { content: response.data.output.text, usage: response.data.usage }; }
app.get('/health', (req, res) => { res.json({ status: 'healthy', timestamp: new Date().toISOString(), models: Object.keys(API_ENDPOINTS) }); });
const PORT = process.env.PORT || 3000; app.listen(PORT, () => { console.log(`AI代理服务器运行在 http://localhost:${PORT}`); console.log('可用模型:', Object.keys(API_ENDPOINTS).join(', ')); });
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