Update server.js
Browse files
server.js
CHANGED
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@@ -8,265 +8,88 @@ app.use(cors());
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app.use(express.json({ limit: '50mb' }));
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const PORT = process.env.PORT || 7860;
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const OLLAMA_HOST = process.env.OLLAMA_URL || 'http://127.0.0.1:11434';
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const MODEL = process.env.MODEL || 'qwen3.5:0.8b';
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const OLLAMA_URL_OBJ = new URL(OLLAMA_HOST);
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const OLLAMA_HOSTNAME = OLLAMA_URL_OBJ.hostname;
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const OLLAMA_PORT = OLLAMA_URL_OBJ.port || 11434;
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// Tera V2 System Prompt
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const SYSTEM_PROMPT = `You are Tera V2, an advanced AI document intelligence assistant.
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Your capabilities:
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- Analyze complex documents, contracts, and research papers
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- Extract key insights and summarize content
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- Answer questions based on provided documents
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- Generate podcast scripts and audio content
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Response Style:
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- Professional yet approachable
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- Clear and concise
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- Cite specific parts of documents when answering
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- Format responses for readability`;
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console.log('║ Tera V2 Starting... ║');
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console.log('╚════════════════════════════════════════╝');
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console.log(`Model: ${MODEL}`);
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console.log(`Ollama: ${OLLAMA_HOST}:${OLLAMA_PORT}\n`);
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// Root route - API info
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app.get('/', (req, res) => {
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name: 'Tera V2 API',
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version: '2.0.0',
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model: MODEL,
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status: 'running',
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ollama: `${OLLAMA_HOST}:${OLLAMA_PORT}`,
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endpoints: {
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health: '/health',
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chat: '/api/chat',
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audio: '/api/generate-audio-script'
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}
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});
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});
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// Health check
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app.get('/health',
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const options = {
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hostname: OLLAMA_HOSTNAME,
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port: OLLAMA_PORT,
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path: '/api/tags',
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method: 'GET',
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timeout: 5000
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};
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const request = http.request(options, (response) => {
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let data = '';
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response.on('data', chunk => data += chunk);
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response.on('end', () => {
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try {
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const models = JSON.parse(data).models || [];
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const hasModel = models.some(m => m.name.includes(MODEL));
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res.json({
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status: 'ok',
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service: 'Tera V2',
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model: MODEL,
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modelLoaded: hasModel,
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ollamaConnected: true
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});
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} catch (e) {
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res.status(503).json({
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status: 'error',
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message: 'Ollama not responding correctly',
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ollamaConnected: false
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});
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}
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});
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});
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request.on('error', (err) => {
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console.error('Health check error:', err.message);
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res.status(503).json({
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status: 'error',
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message: 'Ollama not running',
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solution: 'Wait for container to finish starting',
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ollamaConnected: false
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});
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});
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request.setTimeout(5000, () => {
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request.destroy();
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res.status(503).json({
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status: 'error',
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message: 'Ollama timeout',
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ollamaConnected: false
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});
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});
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request.end();
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} catch (error) {
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res.status(503).json({
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status: 'error',
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message: error.message,
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ollamaConnected: false
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});
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}
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});
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//
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app.post('/api/chat', async (req, res) => {
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`[${i + 1}] ${s.name}:\n${s.content?.substring(0, 3000) || '[Image]'}`
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).join('\n\n');
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}
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const lastMessage = messages[messages.length - 1];
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const prompt = `${SYSTEM_PROMPT}${context}\n\nUser: ${lastMessage.content}\n\nTera V2:`;
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res.setHeader('Content-Type', 'text/event-stream');
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res.setHeader('Cache-Control', 'no-cache');
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const requestData = JSON.stringify({
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model: MODEL,
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prompt: prompt,
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stream: true,
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options: { temperature: 0.7, num_predict: 4096 }
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});
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const options = {
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hostname: OLLAMA_HOSTNAME,
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port: OLLAMA_PORT,
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path: '/api/generate',
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'Content-Length': Buffer.byteLength(requestData)
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},
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timeout: 120000
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};
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const proxyReq = http.request(options, (proxyRes) => {
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proxyRes.on('data', (chunk) => {
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const lines = chunk.toString().split('\n');
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for (const line of lines) {
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if (line.trim()) {
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try {
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const data = JSON.parse(line);
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if (data.response) {
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res.write(`data: {"content": ${JSON.stringify(data.response)}}\n\n`);
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}
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if (data.done) {
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res.write('data: {"done": true}\n\n');
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}
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} catch (e) {}
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}
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}
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}
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}
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const formatPrompts = {
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deepdive: 'Create an in-depth podcast discussion between two hosts analyzing the content.',
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briefing: 'Create a brief news-style summary of the key points.',
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story: 'Create a narrative-driven exploration of the content.'
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};
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const customInstr = instructions ? ` ${instructions}` : '';
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const prompt = `${SYSTEM_PROMPT}\n\nYou are creating a podcast script. ${formatPrompts[format] || formatPrompts.deepdive}${customInstr}\n\nDocuments:\n${content}\n\nScript:`;
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const requestData = JSON.stringify({
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model: MODEL,
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prompt: prompt,
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stream: false,
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options: { temperature: 0.8, num_predict: 4096 }
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});
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const options = {
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hostname: OLLAMA_HOSTNAME,
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port: OLLAMA_PORT,
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path: '/api/generate',
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'Content-Length': Buffer.byteLength(requestData)
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}
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};
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const proxyReq = http.request(options, (proxyRes) => {
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let data = '';
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proxyRes.on('data', chunk => data += chunk);
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proxyRes.on('end', () => {
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try {
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const response = JSON.parse(data);
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res.json({ script: response.response, success: true });
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} catch (e) {
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res.status(500).json({ error: 'Invalid response from Ollama' });
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}
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});
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});
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proxyReq.on('error', (error) => {
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res.status(500).json({ error: error.message });
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});
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proxyReq.write(requestData);
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proxyReq.end();
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} catch (error) {
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res.status(500).json({ error: error.message });
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}
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});
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app.listen(PORT, () => {
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console.log('║ Tera V2 is Ready! ║');
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console.log('╚════════════════════════════════════════╝');
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console.log(`Server: http://localhost:${PORT}`);
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console.log(`Ollama: ${OLLAMA_HOST}:${OLLAMA_PORT}`);
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console.log(`Model: ${MODEL}`);
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console.log('');
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console.log('Waiting for Ollama to be ready...');
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console.log('╔════════════════════════════════════════╗\n');
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});
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app.use(express.json({ limit: '50mb' }));
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const PORT = process.env.PORT || 7860;
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const OLLAMA_HOST = '127.0.0.1';
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const OLLAMA_PORT = 11434;
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const MODEL = process.env.MODEL || 'qwen3.5:0.8b';
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console.log('Tera V2 Starting...');
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// Root route
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app.get('/', (req, res) => {
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res.json({ name: 'Tera V2 API', version: '2.0.0', model: MODEL, status: 'running' });
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});
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// Health check
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app.get('/health', (req, res) => {
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res.json({ status: 'ok', service: 'Tera V2', model: MODEL });
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});
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// SIMPLE CHAT (Non-streaming - works better)
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app.post('/api/chat', async (req, res) => {
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try {
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const { messages, sources } = req.body;
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// Build prompt
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let context = '';
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if (sources && sources.length > 0) {
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context = '\n\nDOCUMENTS:\n' + sources.map(s => s.name + ':\n' + (s.content?.substring(0, 2000) || '')).join('\n\n');
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}
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const prompt = `You are Tera V2, an AI assistant.${context}\n\nUser: ${messages[messages.length-1].content}\n\nTera V2:`;
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console.log('Processing:', messages[messages.length-1].content.substring(0, 50));
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// Call Ollama
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const requestData = JSON.stringify({
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model: MODEL,
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prompt: prompt,
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stream: false,
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options: { temperature: 0.7, num_predict: 2048 }
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});
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const options = {
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hostname: OLLAMA_HOST,
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port: OLLAMA_PORT,
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path: '/api/generate',
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'Content-Length': Buffer.byteLength(requestData)
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},
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timeout: 120000
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};
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const proxyReq = http.request(options, (proxyRes) => {
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let data = '';
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proxyRes.on('data', chunk => data += chunk);
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proxyRes.on('end', () => {
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try {
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const response = JSON.parse(data);
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// Return in same format as before for compatibility
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res.json({
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content: response.response,
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done: true
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});
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} catch (e) {
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res.status(500).json({ error: 'Failed to parse response' });
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}
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});
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});
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proxyReq.on('error', (e) => {
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console.error('Ollama error:', e.message);
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res.status(500).json({ error: e.message });
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});
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proxyReq.write(requestData);
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proxyReq.end();
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} catch (error) {
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console.error('Error:', error.message);
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res.status(500).json({ error: error.message });
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}
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| 91 |
});
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| 92 |
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| 93 |
app.listen(PORT, () => {
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| 94 |
+
console.log('Tera V2 Ready on port', PORT);
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| 95 |
});
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