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chat.js
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185 lines (166 loc) · 6.13 KB
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import express from 'express';
import aiService from '../services/aiService.js';
const router = express.Router();
async function sleep(ms) {
return new Promise(resolve => setTimeout(resolve, ms));
}
/**
* POST /api/chat/stream
* Stream chat response from AI provider
*/
router.post('/stream', async (req, res) => {
const { message, model = 'gpt-4.1-nano', conversationHistory = [], sessionId = 'default', files = [], useFakeStream = false} = req.body;
if (!message || !message.trim()) {
return res.status(400).json({ error: 'Message is required' });
}
res.setHeader('Content-Type', 'text/event-stream');
res.setHeader('Cache-Control', 'no-cache');
res.setHeader('Connection', 'keep-alive');
res.setHeader('Access-Control-Allow-Origin', '*');
res.setHeader('Access-Control-Allow-Headers', 'Cache-Control');
try {
let stream;
let provider;
// Determine provider based on model name
if (model.startsWith('gpt-') || model.startsWith('o4-')) {
provider = 'openai';
stream = await aiService.streamOpenAI(message, conversationHistory, model);
} else if (model.startsWith('gemini-')) {
provider = 'gemini';
// Use fake stream for debugging if requested
if (useFakeStream) {
console.log('🔧 Using FAKE Gemini stream for debugging');
stream = await aiService.streamGeminiFake(message, conversationHistory, model, sessionId, files, false);
} else {
// stream = await aiService.streamGeminiWithTools(message, conversationHistory, model, sessionId, files);
stream = await aiService.streamGemini(message, conversationHistory, model, sessionId, files, false);
}
} else {
throw new Error(`Unsupported model: ${model}`);
}
for await (const chunk of stream) {
const content = provider === 'openai'
? chunk.choices[0]?.delta?.content || ''
: provider === 'gemini'
? chunk.text
: chunk.text() || '';
if (content) {
const dataToSend = JSON.stringify({ content, provider, model });
console.log('dataToSend', dataToSend);
res.write(`data: ${dataToSend}\n\n`);
if (res.flush) {
res.flush();
}
}
}
res.write(`data: ${JSON.stringify({ done: true, provider, model })}\n\n`);
res.end();
} catch (error) {
console.error('Chat streaming error:', error);
res.write(`data: ${JSON.stringify({ error: error.message, model })}\n\n`);
res.end();
}
});
/**
* GET /api/chat/models
* Get available AI models
*/
router.get('/models', (req, res) => {
try {
const models = aiService.getAvailableModels();
res.json({ models });
} catch (error) {
console.error('Error getting models:', error);
res.status(500).json({ error: 'Failed to get models' });
}
});
/**
* GET /api/chat/test
* Test connections to AI providers
*/
router.get('/test', async (req, res) => {
try {
const results = await aiService.testConnections();
res.json({ results });
} catch (error) {
console.error('Error testing connections:', error);
res.status(500).json({ error: 'Failed to test connections' });
}
});
/**
* DELETE /api/chat/conversation/:sessionId
* Clear a specific conversation
*/
router.delete('/conversation/:sessionId', (req, res) => {
try {
const { sessionId } = req.params;
aiService.clearConversation(sessionId);
res.json({ message: `Session ${sessionId} cleared successfully` });
} catch (error) {
console.error('Error clearing session:', error);
res.status(500).json({ error: 'Failed to clear session' });
}
});
/**
* GET /api/chat/conversation/:sessionId/history
* Get conversation history
*/
router.get('/conversation/:sessionId/history', (req, res) => {
try {
const { sessionId } = req.params;
const history = aiService.getConversationHistory(sessionId);
res.json({ history, sessionId });
} catch (error) {
console.error('Error getting conversation history:', error);
res.status(500).json({ error: 'Failed to get conversation history' });
}
});
/**
* POST /api/chat/non-stream
* Non-streaming chat response (for fallback)
*/
router.post('/non-stream', async (req, res) => {
const { message, model = 'gpt-4.1-nano', conversationHistory = [], files = [] } = req.body;
if (!message || !message.trim()) {
return res.status(400).json({ error: 'Message is required' });
}
try {
let response;
let provider;
// Determine provider based on model name
if (model.startsWith('gpt-') || model.startsWith('o4-')) {
provider = 'openai';
const result = await aiService.openai.chat.completions.create({
model: model,
messages: [
{
role: 'system',
content: 'You are a helpful AI assistant. Provide clear, concise, and accurate responses.'
},
...conversationHistory,
{ role: 'user', content: message }
],
max_tokens: 1000,
temperature: 0.7
});
response = result.choices[0].message.content;
} else if (model.startsWith('gemini-')) {
provider = 'gemini';
const chat = aiService.genAI.chats.create({ model: model });
const result = await chat.sendMessage({ message: message });
response = result.text;
} else {
throw new Error(`Unsupported model: ${model}`);
}
res.json({
content: response,
provider,
model,
timestamp: new Date().toISOString()
});
} catch (error) {
console.error('Chat error:', error);
res.status(500).json({ error: error.message });
}
});
export default router;