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80 lines
2.1 KiB
JavaScript
80 lines
2.1 KiB
JavaScript
import express from 'express';
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import OpenAI from 'openai';
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import { v4 as uuidv4 } from 'uuid';
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const app = express();
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const port = 8080;
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app.use(express.json());
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// In-memory storage for conversation histories
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const conversationHistories = new Map();
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// Initialize OpenAI client
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const openai = new OpenAI({
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apiKey: process.env.OPENAI_API_KEY,
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});
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app.get('/session', (req, res) => {
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const sessionId = uuidv4();
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console.log(`Session started: ${sessionId}`);
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conversationHistories.set(sessionId, []);
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res.status(201).send(sessionId);
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});
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app.delete('/session/:sessionId', (req, res) => {
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const { sessionId } = req.params;
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console.log(`Session ended: ${sessionId}`);
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conversationHistories.delete(sessionId);
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res.status(204).send(sessionId);
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});
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// Inference endpoint
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app.post('/inference', async (req, res) => {
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try {
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const { message, sessionId } = req.body;
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// Get or initialize conversation history for this session
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if (!conversationHistories.has(sessionId)) {
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conversationHistories.set(sessionId, []);
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}
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const history = conversationHistories.get(sessionId);
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// Add new messages to history
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const newMessages = Array.isArray(message) ? message : [{ role: 'user', content: message }];
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history.push(...newMessages);
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console.log(`New user message (${sessionId}: ${history.length} messages)`);
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// Make inference request with full conversation history
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const completion = await openai.chat.completions.create({
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model: 'gpt-4o-2024-08-06',
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messages: history,
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});
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const assistantMessage = {
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role: 'assistant',
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content: completion.choices[0].message.content,
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};
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// Add assistant response to history
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history.push(assistantMessage);
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// Update the stored history
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conversationHistories.set(sessionId, history);
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res.json({ output: completion.choices[0].message.content });
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} catch (error) {
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console.error('Inference error:', error);
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res.status(500).json({
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error: 'Inference failed',
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message: error.message,
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});
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}
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});
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app.listen(port, () => {
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console.log(`Server running on http://localhost:${port}`);
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});
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