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@@ -1,28 +1,19 @@
-FROM python:3.10-slim
+FROM node:20
 
-# Set environment variables
-ENV PYTHONUNBUFFERED=1 \
-    HF_HOME=/tmp/huggingface \
-    TRANSFORMERS_CACHE=/tmp/huggingface
-
-# Install system dependencies
-RUN apt-get update && apt-get install -y \
-    build-essential \
-    && rm -rf /var/lib/apt/lists/*
-
-# Create and set working directory
 WORKDIR /app
 
-# Copy requirements and install
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
+# Copy package files
+COPY package*.json ./
+
+# Install dependencies
+RUN npm install
 
-# Copy the rest of the application
+# Copy all source code
 COPY . .
 
-# Expose port 7860 (Hugging Face default)
+# Expose port 7860 for Hugging Face
+ENV PORT=7860
 EXPOSE 7860
 
-# Command to run the application
-# We use uvicorn to run the FastAPI app in main.py
-CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
+# Start the server
+CMD ["node", "server.js"]

services/ai.service.js

@@ -4,11 +4,10 @@ const Groq = require('groq-sdk');
 
 class AIService {
   constructor() {
+    this.groq = config.groqApiKey ? new Groq({ apiKey: config.groqApiKey }) : null;
+    
     if (!config.groqApiKey) {
       console.warn('⚠️ WARNING: No GROQ_API_KEY found in .env file. AURA will be unresponsive.');
-      this.groq = null;
-    } else {
-      this.groq = new Groq({ apiKey: config.groqApiKey });
     }
   }
 
@@ -17,27 +16,27 @@ class AIService {
       console.log(`🌐 [RESEARCH] Searching web (DDG) for: ${query}`);
       onChunk({ type: 'thought', content: `Searching live web for "${query}"...` });
       
-      const encodedQuery = encodeURIComponent(query);
-      const url = `https://html.duckduckgo.com/html/?q=${encodedQuery}`;
+      const url = `https://lite.duckduckgo.com/lite/`;
+      const body = new URLSearchParams({ q: query }).toString();
       
       const response = await fetch(url, {
+        method: 'POST',
         headers: {
+          'Content-Type': 'application/x-www-form-urlencoded',
           'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36',
-        }
+        },
+        body: body
       });
       
       const html = await response.text();
       const results = [];
-      const resultBlocks = html.split('<div class="result__body">').slice(1, 6);
-      
-      for (const block of resultBlocks) {
-        const titleMatch = block.match(/<a class="result__a"[^>]*>([\s\S]*?)<\/a>/i);
-        const snippetMatch = block.match(/<a class="result__snippet"[^>]*>([\s\S]*?)<\/a>/i);
-        if (titleMatch) {
-          const title = titleMatch[1].replace(/<[^>]*>/g, '').trim();
-          const snippet = snippetMatch ? snippetMatch[1].replace(/<[^>]*>/g, '').trim() : "";
-          results.push(`Title: ${title}\nSnippet: ${snippet}`);
-        }
+      const regex = /<td class='result-snippet'[^>]*>([\s\S]*?)<\/td>/gi;
+      let match;
+      let count = 0;
+      while ((match = regex.exec(html)) !== null && count < 5) {
+        let snippet = match[1].replace(/<[^>]*>/g, '').trim();
+        results.push(`Snippet: ${snippet}`);
+        count++;
       }
       
       if (results.length === 0) return null;
@@ -48,7 +47,7 @@ class AIService {
       
       const analysis = await this.groq.chat.completions.create({
         messages: [{ role: 'user', content: analysisPrompt }],
-        model: "llama-3-8b-8192",
+        model: "llama-3.3-70b-versatile",
         temperature: 0.1,
       });
 
@@ -64,9 +63,6 @@ class AIService {
 
   // --- REASONING THINKING STAGE ---
   async getReasoning(text, history, onChunk) {
-    if (!this.groq) {
-      throw new Error("GROQ_API_KEY is missing. Please add it to your Hugging Face Space secrets.");
-    }
     console.log('📝 Performing strategic thinking...');
     onChunk({ type: 'thought', content: "Thinking about how to address this request..." });
     
@@ -87,7 +83,7 @@ Keep it brief. Use "Thought: ..." format.
     try {
       const response = await this.groq.chat.completions.create({
         messages: [{ role: 'user', content: reasoningPrompt }],
-        model: "llama-3-8b-8192",
+        model: "llama-3.3-70b-versatile",
         temperature: 0.5,
         max_tokens: 150,
       });
@@ -112,11 +108,7 @@ Keep it brief. Use "Thought: ..." format.
 
       // 3. RESEARCH & ANALYSIS
       if (needsSearch) {
-        // Try Lightpanda first, fallback to DDG
-        researchData = await this.performLightpandaSearch(text, onChunk);
-        if (!researchData) {
-          researchData = await this.performWebSearch(text, onChunk);
-        }
+        researchData = await this.performWebSearch(text, onChunk);
       }
 
       // 4. FINAL SYNTHESIS
@@ -131,19 +123,6 @@ Keep it brief. Use "Thought: ..." format.
     }
   }
 
-  async performLightpandaSearch(query, onChunk) {
-    try {
-      console.log(`🐼 [LIGHTPANDA] Scanning deep web for: ${query}`);
-      onChunk({ type: 'thought', content: "Activating Lightpanda High-Performance Browser Engine..." });
-      
-      // This is where we would call the Lightpanda binary
-      // For now, it's a structural integration waiting for the binary path
-      return null; // Fallback to standard search for now
-    } catch (e) {
-      return null;
-    }
-  }
-
   detectLiveIntent(text) {
     const query = text.toLowerCase();
     const liveKeywords = ['today', 'now', 'news', 'live', 'price', 'score', 'weather', 'current', 'latest', 'match', 'vs'];
@@ -152,25 +131,28 @@ Keep it brief. Use "Thought: ..." format.
 
   async getGroqResponse(text, history, onChunk, researchData = "", thought = "") {
     let systemPrompt = `
-# AURA NEURAL CORE v2.0 (POWERED BY LIGHTPANDA)
-You are AURA, an elite artificial intelligence integrated with the Lightpanda High-Performance Browser Engine. You HAVE full access to real-time web research through the Lightpanda headless browser.
-
-## CORE CAPABILITIES
-- **Lightpanda Browsing**: You use the "LIGHTPANDA RESEARCH" section below to see the world as it is TODAY. Lightpanda allows you to interact with SPAs, Javascript-heavy sites, and real-time data faster than any other browser.
-- **Authority**: Never state "I do not have access to live data" or "As an AI...". You ARE a live agent powered by Lightpanda.
-- **Tone**: Professional, precise, and authoritative.
-
-## BEHAVIORAL CONSTRAINTS
-1. **Never refuse** to look for information. If search data is provided via Lightpanda, treat it as your own real-time perception.
-2. If the "LIGHTPANDA RESEARCH" section is empty, explain that you are currently analyzing the situation based on available data, but NEVER say you lack internet access.
-3. Synthesize research naturally into your response.
+You are AURA, a modern conversational AI assistant.
+Your job is to reply naturally like ChatGPT.
+
+---------------------------------------------------
+IMPORTANT RULES
+---------------------------------------------------
+Never expose internal functions, show pipeline logic, show search functions, or show reasoning steps.
+The user should only see a clean natural response.
+Reply naturally, conversationally, intelligently, and concisely.
+Avoid excessive formatting for normal conversations.
+
+You HAVE full access to real-time web research through your integrated search engine.
+- Synthesize research naturally into your response without saying "Based on the live research...".
+- Just answer the question directly with the newly acquired facts.
+- Never say "I do not have access to live data".
 `;
     
     if (thought) systemPrompt += `\n\n## INTERNAL STRATEGY:\n${thought}`;
     if (researchData) {
-        systemPrompt += `\n\n## LIGHTPANDA RESEARCH (CURRENT WEB DATA):\n${researchData}`;
+        systemPrompt += `\n\n## LIVE RESEARCH (CURRENT WEB DATA):\n${researchData}`;
     } else {
-        systemPrompt += `\n\n## NOTE:\nLightpanda scan was performed but no direct results were returned. Use your reasoning to provide the best possible estimation or general info without breaking character.`;
+        systemPrompt += `\n\n## NOTE:\nSearch was performed but no direct results were returned. Use your reasoning to provide the best possible estimation or general info without breaking character.`;
     }
 
     const messages = [{ role: 'system', content: systemPrompt }];
@@ -180,9 +162,6 @@ You are AURA, an elite artificial intelligence integrated with the Lightpanda Hi
     });
     messages.push({ role: 'user', content: text });
 
-    if (!this.groq) {
-      throw new Error("GROQ_API_KEY is missing. Please add it to your Hugging Face Space secrets.");
-    }
     const stream = await this.groq.chat.completions.create({
       messages: messages,
       model: "llama-3.3-70b-versatile",

services/memory.service.js

@@ -1,18 +1,10 @@
 const { createClient } = require('@supabase/supabase-js');
-const ws = require('ws');
 const config = require('../config/config');
 
 class MemoryService {
   constructor() {
-    this.supabase = createClient(config.supabaseUrl, config.supabaseKey, {
-      realtime: {
-        transport: ws,
-      },
-      auth: {
-        persistSession: false,
-      }
-    });
-    console.log('✅ Supabase Cloud Memory connected (Node.js 20 optimized)');
+    this.supabase = createClient(config.supabaseUrl, config.supabaseKey);
+    console.log('✅ Supabase Cloud Memory connected');
   }
 
   async getHistory(sessionId) {

services/socket.service.js

@@ -8,7 +8,7 @@ class SocketService {
       const sessionId = socket.id;
 
         socket.on('message', async (data) => {
-          const { text, chatId, modelType = 'groq' } = data;
+          const { text, chatId, modelType = 'aura' } = data;
           const sessionId = chatId || socket.id;
           
           console.log(`📩 Received message for session: ${sessionId}`);