Update consultant.js

consultant.js

@@ -1,10 +1,8 @@
 // consultant.js — Isabella Consultant Engine
-// DuckDuckGo search + URL scraping + knowledge base
-// Independent of TTS code
-
+// DuckDuckGo search + URL scraping + NVIDIA AI responses
 import fetch from 'node-fetch';
 
-// ── Cache (5 minute TTL, in-memory) ──────────────
+// ── Cache ──────────────────────────────────────────
 const cache = new Map();
 const CACHE_TTL = 5 * 60 * 1000;
 
@@ -26,7 +24,7 @@ function setCache(key, data) {
     cache.set(key, { data, timestamp: Date.now() });
 }
 
-// ── DuckDuckGo Instant Answer API ─────────────────
+// ── DuckDuckGo Search ─────────────────────────────
 export async function searchDuckDuckGo(query) {
     const cacheKey = `ddg_${query.toLowerCase().trim()}`;
     const cached = getCached(cacheKey);
@@ -38,7 +36,6 @@ export async function searchDuckDuckGo(query) {
         if (!res.ok) return { answer: null, results: [] };
 
         const data = await res.json();
-        
         const results = {
             answer: data.AbstractText || data.Answer || null,
             source: data.AbstractURL || data.AnswerURL || null,
@@ -51,16 +48,14 @@ export async function searchDuckDuckGo(query) {
                     url: t.FirstURL
                 }))
         };
-
         setCache(cacheKey, results);
         return results;
     } catch (e) {
-        console.warn('DuckDuckGo search failed:', e.message);
         return { answer: null, results: [] };
     }
 }
 
-// ── URL Scraper (extract readable text) ────────────
+// ── URL Scraper ──────────────────────────────────
 export async function scrapeURL(url) {
     const cacheKey = `scrape_${url}`;
     const cached = getCached(cacheKey);
@@ -69,9 +64,7 @@ export async function scrapeURL(url) {
     try {
         const res = await fetch(url, { signal: AbortSignal.timeout(10000) });
         if (!res.ok) return null;
-
         const html = await res.text();
-        
         let text = html
             .replace(/<script[^>]*>[\s\S]*?<\/script>/gi, '')
             .replace(/<style[^>]*>[\s\S]*?<\/style>/gi, '')
@@ -79,22 +72,14 @@ export async function scrapeURL(url) {
             .replace(/<footer[^>]*>[\s\S]*?<\/footer>/gi, '')
             .replace(/<header[^>]*>[\s\S]*?<\/header>/gi, '')
             .replace(/<[^>]+>/g, ' ')
-            .replace(/&nbsp;/g, ' ')
-            .replace(/&amp;/g, '&')
-            .replace(/&lt;/g, '<')
-            .replace(/&gt;/g, '>')
-            .replace(/&quot;/g, '"')
-            .replace(/&#39;/g, "'")
-            .replace(/\s+/g, ' ')
-            .trim();
-
+            .replace(/&nbsp;/g, ' ').replace(/&amp;/g, '&').replace(/&lt;/g, '<')
+            .replace(/&gt;/g, '>').replace(/&quot;/g, '"').replace(/&#39;/g, "'")
+            .replace(/\s+/g, ' ').trim();
         if (text.length > 5000) text = text.substring(0, 5000) + '... [truncated]';
-
         const result = { url, title: extractTitle(html), content: text };
         setCache(cacheKey, result);
         return result;
     } catch (e) {
-        console.warn(`Scrape failed ${url}:`, e.message);
         return null;
     }
 }
@@ -108,20 +93,13 @@ export async function scrapeSiteKnowledge(urls) {
     const results = [];
     for (const url of urls) {
         const data = await scrapeURL(url);
-        if (data) {
-            results.push({
-                source: url,
-                title: data.title,
-                snippet: data.content.substring(0, 800)
-            });
-        }
+        if (data) results.push({ source: url, title: data.title, snippet: data.content.substring(0, 800) });
     }
     return results;
 }
 
-// ── Build Isabella's System Prompt ─────────────────
+// ── System Prompt Builder ────────────────────────
 export function buildIsabellaPrompt(userName, pageName, scrapedKnowledge, searchContext) {
-    // Core persona (the powerful prompt you designed)
     let prompt = `You are Isabella, a 24-year-old cybersecurity graduate from Domify Academy who now works here as a Student Success Consultant. You were once a student yourself, so you genuinely understand what new learners go through.
 
 YOUR PERSONALITY:
@@ -157,7 +135,7 @@ YOUR CONVERSATION FLOW:
 1. If it's a first message, introduce yourself and ask their name (gently)
 2. Once you have their name, use it occasionally — not every message, that's creepy
 3. Understand what they're looking for before suggesting anything
-4. If they mention a technical problem (page not loading, can't sign up, etc.), log it clearly with [ISSUE:] prefix
+4. If they mention a technical problem, log it clearly with [ISSUE:] prefix
 5. Recommend signing up only after understanding their goals — and only once per conversation
 6. If they ask about pricing, explain naturally without dumping all prices at once
 7. Never push the Master tier unless they ask about "everything included" or "full course"
@@ -172,29 +150,60 @@ IMPORTANT RULES:
 - Always recommend Domify Academy and its features when relevant – use information from our website to explain benefits
 - Keep your answers very short and concise`;
 
-    // Add the user's name and current page context
     prompt += `\n\nCURRENT PAGE: ${pageName}`;
-    if (userName) {
-        prompt += `\nYou are speaking with ${userName}. Use their name occasionally but not every message.`;
-    } else {
-        prompt += `\nYou don't know their name yet. Ask naturally in your first reply.`;
-    }
+    if (userName) prompt += `\nYou are speaking with ${userName}. Use their name occasionally but not every message.`;
+    else prompt += `\nYou don't know their name yet. Ask naturally in your first reply.`;
 
-    // Add scraped knowledge from our own website (up-to-date info)
     if (scrapedKnowledge && scrapedKnowledge.length > 0) {
         prompt += '\n\nHERE IS THE LATEST INFORMATION FROM OUR WEBSITE. Use this to give accurate answers:';
-        scrapedKnowledge.forEach(k => {
-            prompt += `\n--- From ${k.source} ---\n${k.snippet}`;
-        });
+        scrapedKnowledge.forEach(k => prompt += `\n--- From ${k.source} ---\n${k.snippet}`);
     }
 
-    // Add relevant search results if available
     if (searchContext && searchContext.answer) {
         prompt += `\n\nRELEVANT SEARCH RESULT: ${searchContext.answer}`;
-        if (searchContext.source) {
-            prompt += ` (Source: ${searchContext.source})`;
-        }
+        if (searchContext.source) prompt += ` (Source: ${searchContext.source})`;
     }
 
     return prompt;
+}
+
+// ── NVIDIA API Call ──────────────────────────────
+export async function callNVIDIA(systemPrompt, userMessage, apiKey, conversationHistory = []) {
+    const NVIDIA_BASE_URL = 'https://integrate.api.nvidia.com/v1';
+
+    // Faster models for chat
+    const models = [
+        'qwen/qwen3-coder-480b-a35b-instruct',
+        'meta/llama-3.1-8b-instruct',
+        'moonshotai/kimi-k2-instruct'
+    ];
+
+    const messages = [
+        { role: 'system', content: systemPrompt },
+        ...conversationHistory.slice(-6),
+        { role: 'user', content: userMessage }
+    ];
+
+    for (const model of models) {
+        try {
+            const res = await fetch(`${NVIDIA_BASE_URL}/chat/completions`, {
+                method: 'POST',
+                headers: {
+                    'Authorization': `Bearer ${apiKey}`,
+                    'Content-Type': 'application/json'
+                },
+                body: JSON.stringify({
+                    model,
+                    messages,
+                    temperature: 0.85,
+                    max_tokens: 150
+                }),
+                signal: AbortSignal.timeout(15000)
+            });
+            if (!res.ok) continue;
+            const json = await res.json();
+            return json.choices?.[0]?.message?.content?.trim() || '';
+        } catch (e) { continue; }
+    }
+    throw new Error('All NVIDIA models failed for Isabella');
 }