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Pull Request Overview
This PR performs a comprehensive security audit and cleanup, removing unused chat functionality and implementing enhanced security measures. The main focus is on removing hardcoded credentials, adding comprehensive security headers to the Vite configuration, and eliminating unused LiveChat components and routes.
Key changes include:
- Removal of entire LiveChat feature and related chat components
- Implementation of comprehensive security headers (CSP, HSTS, XSS protection, etc.)
- Package updates including lucide-react version bump
- Addition of extensive security documentation
Reviewed Changes
Copilot reviewed 18 out of 21 changed files in this pull request and generated no comments.
Show a summary per file
| File | Description |
|---|---|
| vite.config.ts | Added comprehensive security headers configuration including CSP, HSTS, and XSS protection |
| src/routes/index.tsx | Removed unused LiveChat route and import |
| src/pages/LiveChat/index.tsx | Deleted entire LiveChat page component |
| src/pages/LiveChat/components/PageLayout.tsx | Deleted LiveChat page layout component |
| src/components/chat/*.tsx | Deleted all chat-related components (useChatState, types, NameInput, MessageList, MessageInput, Message, ChatHeader, AdminLogin) |
| src/components/ContactCard.tsx | Removed ChatInterface import and showChat state/rendering logic |
| src/components/ChatInterface.tsx | Deleted main chat interface component |
| package.json | Updated lucide-react dependency version |
| SECURITY.md | Added comprehensive security documentation |
| PR_DESCRIPTION.md | Added PR description with security audit details |
| .env.example | Enhanced with security warnings and improved documentation |
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vite.config.ts
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| // Content Security Policy - Prevents XSS attacks | ||
| // Allows scripts from self, inline scripts (for Vite dev), Tempo Labs, and Google APIs | ||
| 'Content-Security-Policy': [ | ||
| "default-src 'self'", | ||
| "script-src 'self' 'unsafe-inline' 'unsafe-eval' https://api.tempolabs.ai https://storage.googleapis.com", | ||
| "style-src 'self' 'unsafe-inline'", | ||
| "img-src 'self' data: https:", | ||
| "font-src 'self' data:", | ||
| "connect-src 'self' https://api.emailjs.com https://api.tempolabs.ai https://storage.googleapis.com", | ||
| "frame-ancestors 'none'", |
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The new Content-Security-Policy only permits connections to 'self', EmailJS, Tempo Labs and GCS. Because 'self' does not cover WebSocket schemes, the browser will block the Vite dev server’s ws:// HMR connection (/@vite/client) and Fast Refresh will stop working. To keep the stricter CSP while preserving development functionality, include ws:/wss: (or an explicit ws://localhost:3000) in connect-src.
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- Remove ALL mentions of example names including Bobby, Mike, Sarah etc - Restructure returning customer greeting to avoid template literal confusion - Add explicit instruction for simple greetings without names - Clarify that AI should never use names until customer introduces themselves
Major improvements: - Detect name introductions mid-conversation (Hey I am Sarah) - Recognize returning customers when they introduce themselves - Check previous conversations EXCLUDING current one for accurate history - Add duplicate message detection (within 2 minutes) - Show returning customer greeting when name is introduced - Update user record when they introduce themselves - Alert AI about duplicate messages to acknowledge them properly The AI now properly responds with 'Hi Sarah! Nice to see you back!' when a returning customer introduces themselves.
Major upgrade: - Switch from Gemini 2.0 Flash Experimental to Gemini 2.5 Pro - Gemini 2.5 Pro is Google's state-of-the-art thinking model - Better reasoning, understanding, and conversation capabilities - Increased output tokens: 1024 -> 2048 (supports up to 65K) - Increased temperature: 0.4 -> 0.5 for more natural responses - Context window: 1M+ input tokens - Update all metadata references to gemini-2.5-pro This should make the AI agent much more intelligent and natural!
Critical fixes: 1. Add debug object to API response with model info, timing, and context 2. Log all AI debug info to Chrome DevTools console in collapsible groups 3. Fix hardcoded 'Perfect! Thank you' message - now uses actual AI response 4. Show model endpoint, finish reason, customer detection status 5. Display system prompt preview to verify what AI receives Debug info will appear in Chrome Console as: 🤖 AI Chat Debug Info - Model: gemini-2.5-pro - API Endpoint - Response Time - Finish Reason - Is Returning Customer - Introduced Name - Is Duplicate Message - System Prompt Preview - Full Response This will help diagnose why AI is giving weird responses like 'Perfect! Thank you Sarah is my ticket as been resolved'
CRITICAL BUG FIX: - Remove awkward forced name/email/phone collection flow - This flow was capturing entire user messages as names - Example: User types 'Sarah is my ticket as been resolved' → saved as name - Now users chat naturally and AI detects names organically - Backend already has smart name detection built-in Users can now start chatting immediately without interruption. AI will naturally ask for and detect names when needed.
CRITICAL FIX: - AI was using email addresses and corrupted data as customer names - Example: 'Hey Sarah is my ticket as been resolved!' - Added validation: only use name if valid (not Anonymous, not email, not corrupted) - Check for @ symbol, 'ticket' keyword, and length < 50 chars - If no valid name, greet WITHOUT name: 'Hey! Good to see you back!' - Also fixed corrupted user record in database This prevents AI from using garbage data in greetings.
Major improvements to AI chat agent intelligence and reliability: INTELLIGENCE ENHANCEMENTS: - Added context awareness with ambiguity detection - AI now asks clarifying questions instead of making assumptions - Example: "lights turn off" -> asks which lights (computer vs room) - Added test/troll conversation detection to prevent fake tickets - Smart troubleshooting flow: gather info first, then provide solutions TICKET CREATION IMPROVEMENTS: - Strict validation rules - only create tickets for legitimate IT issues - Block ticket creation for test/joke conversations - Require specific details and genuine troubleshooting before creating tickets - Prevent tickets for non-IT issues (electricity, plumbing, etc.) CONVERSATION FLOW: - Better conversation memory and context tracking - Detects user confusion and slows down to clarify - Builds on previous messages instead of repeating - Friendly but intelligent personality EXAMPLES ADDED: - Dumb vs Smart response patterns for common scenarios - Shows proper clarifying question techniques - Demonstrates confusion detection and recovery This fixes the issues where AI was: - Creating fake tickets for troll conversations - Confusing house lights with computer lights - Making assumptions without asking questions - Responding without proper context awareness Model: Gemini 2.5 Pro with enhanced system prompt 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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