├── public ├── avatar.jpg ├── avatar.png └── images │ ├── back.jpg │ ├── koa.png │ ├── koa1.png │ ├── koa2.png │ └── user.png ├── src ├── app │ ├── globals.css │ ├── modal-standalone │ │ └── page.tsx │ ├── layout.tsx │ ├── api │ │ ├── admin │ │ │ ├── clients │ │ │ │ └── route.ts │ │ │ ├── training-data │ │ │ │ └── route.ts │ │ │ └── training-gitbook │ │ │ │ └── route.ts │ │ ├── test-search │ │ │ └── route.ts │ │ ├── client │ │ │ ├── status │ │ │ │ └── route.ts │ │ │ └── increment │ │ │ │ └── route.ts │ │ └── training │ │ │ ├── gitbook-search │ │ │ └── route.ts │ │ │ ├── secret-training │ │ │ └── route.ts │ │ │ └── gitbook-init │ │ │ └── route.ts │ └── page.tsx ├── types │ ├── global.d.ts │ └── client.d.ts ├── lib │ └── mongodb.ts ├── models │ ├── TrainingData.ts │ ├── Client.ts │ └── GitBookContent.ts └── components │ └── ChatModal.tsx ├── postcss.config.js ├── tailwind.config.js ├── eslint.config.mjs ├── next.config.ts ├── .gitignore ├── tsconfig.json ├── package.json ├── env.example ├── FINAL_SETUP.md ├── QUICK_BNB_REFERENCE.md ├── QUICK_SETUP.md ├── PERFECT_SETUP.md ├── VERCEL_DEPLOYMENT.md ├── DEPLOYMENT_MONGODB.md ├── GITBOOK_ENHANCEMENT.md ├── MONGODB_INTEGRATION.md ├── GITBOOK_INTEGRATION_README.md ├── SECRET_TRAINING_README.md ├── DEPLOYMENT_GUIDE.md ├── BNB_CHINESE_UPDATE.md └── README.md /public/avatar.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/BlackSky-Jose/AI-Chat/HEAD/public/avatar.jpg -------------------------------------------------------------------------------- /public/avatar.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/BlackSky-Jose/AI-Chat/HEAD/public/avatar.png -------------------------------------------------------------------------------- /src/app/globals.css: -------------------------------------------------------------------------------- 1 | @tailwind base; 2 | @tailwind components; 3 | @tailwind utilities; 4 | -------------------------------------------------------------------------------- /public/images/back.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/BlackSky-Jose/AI-Chat/HEAD/public/images/back.jpg -------------------------------------------------------------------------------- /public/images/koa.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/BlackSky-Jose/AI-Chat/HEAD/public/images/koa.png -------------------------------------------------------------------------------- /public/images/koa1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/BlackSky-Jose/AI-Chat/HEAD/public/images/koa1.png -------------------------------------------------------------------------------- /public/images/koa2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/BlackSky-Jose/AI-Chat/HEAD/public/images/koa2.png -------------------------------------------------------------------------------- /public/images/user.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/BlackSky-Jose/AI-Chat/HEAD/public/images/user.png -------------------------------------------------------------------------------- /postcss.config.js: -------------------------------------------------------------------------------- 1 | module.exports = { 2 | plugins: { 3 | tailwindcss: {}, 4 | autoprefixer: {}, 5 | }, 6 | } 7 | -------------------------------------------------------------------------------- /src/types/global.d.ts: -------------------------------------------------------------------------------- 1 | declare global { 2 | var mongoose: { 3 | conn: any | null; 4 | promise: Promise | null; 5 | }; 6 | } 7 | 8 | export {}; 9 | -------------------------------------------------------------------------------- /tailwind.config.js: -------------------------------------------------------------------------------- 1 | /** @type {import('tailwindcss').Config} */ 2 | module.exports = { 3 | content: [ 4 | './src/pages/**/*.{js,ts,jsx,tsx,mdx}', 5 | './src/components/**/*.{js,ts,jsx,tsx,mdx}', 6 | './src/app/**/*.{js,ts,jsx,tsx,mdx}', 7 | ], 8 | theme: { 9 | extend: {}, 10 | }, 11 | plugins: [ 12 | require('tailwind-scrollbar'), 13 | ], 14 | } 15 | -------------------------------------------------------------------------------- /eslint.config.mjs: -------------------------------------------------------------------------------- 1 | import { FlatCompat } from '@eslint/eslintrc'; 2 | import path from 'path'; 3 | import { fileURLToPath } from 'url'; 4 | 5 | const __filename = fileURLToPath(import.meta.url); 6 | const __dirname = path.dirname(__filename); 7 | 8 | const compat = new FlatCompat({ 9 | baseDirectory: __dirname, 10 | recommendedConfig: { ...require('eslint-config-next') } 11 | }); 12 | 13 | export default [ 14 | ...compat.extends('next/core-web-vitals'), 15 | { 16 | rules: { 17 | '@typescript-eslint/no-explicit-any': 'off', 18 | }, 19 | }, 20 | ]; 21 | -------------------------------------------------------------------------------- /next.config.ts: -------------------------------------------------------------------------------- 1 | import type { NextConfig } from "next"; 2 | 3 | const nextConfig: NextConfig = { 4 | images: { 5 | remotePatterns: [ 6 | { 7 | protocol: 'https', 8 | hostname: 'static.wixstatic.com', 9 | port: '', 10 | pathname: '/**', 11 | }, 12 | { 13 | protocol: 'https', 14 | hostname: 'video.wixstatic.com', 15 | port: '', 16 | pathname: '/**', 17 | }, 18 | ], 19 | unoptimized: false, 20 | dangerouslyAllowSVG: true, 21 | contentDispositionType: 'attachment', 22 | }, 23 | eslint: { 24 | ignoreDuringBuilds: true, 25 | }, 26 | }; 27 | 28 | export default nextConfig; 29 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # See https://help.github.com/articles/ignoring-files/ for more about ignoring files. 2 | 3 | # dependencies 4 | /node_modules 5 | /.pnp 6 | .pnp.* 7 | .yarn/* 8 | !.yarn/patches 9 | !.yarn/plugins 10 | !.yarn/releases 11 | !.yarn/versions 12 | 13 | # testing 14 | /coverage 15 | 16 | # next.js 17 | /.next/ 18 | /out/ 19 | 20 | # production 21 | /build 22 | 23 | # misc 24 | .DS_Store 25 | *.pem 26 | 27 | # debug 28 | npm-debug.log* 29 | yarn-debug.log* 30 | yarn-error.log* 31 | .pnpm-debug.log* 32 | 33 | # env files (can opt-in for committing if needed) 34 | .env* 35 | .env.local 36 | # vercel 37 | .vercel 38 | 39 | 40 | # typescript 41 | *.tsbuildinfo 42 | next-env.d.ts 43 | -------------------------------------------------------------------------------- /tsconfig.json: -------------------------------------------------------------------------------- 1 | { 2 | "compilerOptions": { 3 | "target": "ES2017", 4 | "lib": ["dom", "dom.iterable", "esnext"], 5 | "allowJs": true, 6 | "skipLibCheck": true, 7 | "strict": true, 8 | "noEmit": true, 9 | "esModuleInterop": true, 10 | "module": "esnext", 11 | "moduleResolution": "bundler", 12 | "resolveJsonModule": true, 13 | "isolatedModules": true, 14 | "jsx": "preserve", 15 | "incremental": true, 16 | "plugins": [ 17 | { 18 | "name": "next" 19 | } 20 | ], 21 | "paths": { 22 | "@/*": ["./src/*"] 23 | } 24 | }, 25 | "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"], 26 | "exclude": ["node_modules"] 27 | } 28 | -------------------------------------------------------------------------------- /src/app/modal-standalone/page.tsx: -------------------------------------------------------------------------------- 1 | "use client" 2 | import ChatModal from "@/components/ChatModal"; 3 | 4 | export default function ModalStandalone() { 5 | return ( 6 |
19 | {}} 22 | /> 23 |
24 | 25 | ); 26 | } 27 | -------------------------------------------------------------------------------- /package.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "koa-ai-clone", 3 | "version": "0.1.0", 4 | "private": true, 5 | "scripts": { 6 | "dev": "next dev", 7 | "build": "next build", 8 | "start": "next start", 9 | "lint": "next lint" 10 | }, 11 | "dependencies": { 12 | "@types/uuid": "^10.0.0", 13 | "framer-motion": "^12.23.12", 14 | "lucide-react": "^0.539.0", 15 | "mongodb": "^6.18.0", 16 | "mongoose": "^8.17.2", 17 | "next": "15.4.6", 18 | "react": "19.1.0", 19 | "react-dom": "19.1.0", 20 | "tailwind-scrollbar": "^3.1.0", 21 | "uuid": "^11.1.0" 22 | }, 23 | "devDependencies": { 24 | "@eslint/eslintrc": "^3", 25 | "@types/node": "^20", 26 | "@types/react": "^19", 27 | "@types/react-dom": "^19", 28 | "autoprefixer": "^10.4.21", 29 | "eslint": "^9", 30 | "eslint-config-next": "15.4.6", 31 | "postcss": "^8.5.6", 32 | "tailwindcss": "^3.4.17", 33 | "typescript": "^5" 34 | } 35 | } 36 | -------------------------------------------------------------------------------- /src/types/client.d.ts: -------------------------------------------------------------------------------- 1 | export interface ClientData { 2 | clientId: string; 3 | messageCount: number; 4 | lastReset: number; 5 | } 6 | 7 | export interface ClientStatus { 8 | canSendMessage: boolean; 9 | messageCount: number; 10 | dailyLimit: number; 11 | timeUntilReset: number; 12 | isNewClient: boolean; 13 | } 14 | 15 | export interface ClientStatistics { 16 | totalClients: number; 17 | totalMessages: number; 18 | activeToday: number; 19 | dailyLimit: number; 20 | } 21 | 22 | export interface ClientInfo { 23 | id: string; 24 | clientId: string; 25 | messageCount: number; 26 | totalMessages: number; 27 | lastActive: Date; 28 | createdAt: Date; 29 | isActive: boolean; 30 | } 31 | 32 | export interface AdminClientsResponse { 33 | success: boolean; 34 | data: { 35 | clients: ClientInfo[]; 36 | statistics: ClientStatus; 37 | }; 38 | } 39 | 40 | export interface ClientIncrementResponse { 41 | success: boolean; 42 | data: ClientStatus; 43 | message?: string; 44 | error?: string; 45 | } 46 | -------------------------------------------------------------------------------- /env.example: -------------------------------------------------------------------------------- 1 | # ======================================== 2 | # KOA_CHAT Environment Variables 3 | # ======================================== 4 | # Copy this file to .env.local and fill in your actual values 5 | # NEVER commit .env.local to Git! 6 | 7 | # MongoDB Atlas Connection String 8 | # Replace YOUR_PASSWORD, YOUR_CLUSTER_NAME, and YOUR_DATABASE_NAME 9 | MONGODB_URI=mongodb+srv://koa-chat-user:YOUR_PASSWORD@YOUR_CLUSTER_NAME.xxxxx.mongodb.net/YOUR_DATABASE_NAME?retryWrites=true&w=majority 10 | 11 | # OpenAI API Key 12 | # Get this from https://platform.openai.com/api-keys 13 | NEXT_PUBLIC_OPENAI_API_KEY=sk-your_openai_api_key_here 14 | 15 | # Auto-training Secret Key 16 | # Generate a random string for production security 17 | AUTO_TRAIN_SECRET=your_random_secret_key_here_32_characters_long 18 | 19 | # ======================================== 20 | # Example MongoDB URI format: 21 | # MONGODB_URI=mongodb+srv://username:password@cluster-name.xxxxx.mongodb.net/database-name?retryWrites=true&w=majority 22 | # ======================================== 23 | -------------------------------------------------------------------------------- /src/app/layout.tsx: -------------------------------------------------------------------------------- 1 | import type { Metadata } from "next"; 2 | import { Geist, Geist_Mono } from "next/font/google"; 3 | import "./globals.css"; 4 | // import AutoTrainerProvider from "../components/AutoTrainerProvider"; 5 | 6 | const geistSans = Geist({ 7 | variable: "--font-geist-sans", 8 | subsets: ["latin"], 9 | }); 10 | 11 | const geistMono = Geist_Mono({ 12 | variable: "--font-geist-mono", 13 | subsets: ["latin"], 14 | }); 15 | 16 | export const metadata: Metadata = { 17 | title: "Koã AI Chat - Your AI Companion", 18 | description: "Experience the future of AI companionship with Koã, powered by GPT-4o mini", 19 | icons: { 20 | icon: "/avatar.png", // 👈 uses koa.png from public/ 21 | }, 22 | }; 23 | 24 | export default function RootLayout({ 25 | children, 26 | }: Readonly<{ 27 | children: React.ReactNode; 28 | }>) { 29 | return ( 30 | 31 | 34 | {/* */} 35 | {children} 36 | {/* */} 37 | 38 | 39 | ); 40 | } 41 | -------------------------------------------------------------------------------- /src/app/api/admin/clients/route.ts: -------------------------------------------------------------------------------- 1 | import { NextRequest, NextResponse } from 'next/server'; 2 | import { Client } from '../../../../models/Client'; 3 | 4 | export async function GET(request: NextRequest) { 5 | try { 6 | // In a real app, you'd add authentication here 7 | // For now, this is a simple admin endpoint 8 | 9 | const clients = await Client.getActiveClients(); 10 | 11 | // Calculate some statistics 12 | const totalClients = clients.length; 13 | const totalMessages = clients.reduce((sum, client) => sum + client.totalMessages, 0); 14 | const activeToday = clients.filter(client => { 15 | const timeSinceReset = Date.now() - client.lastReset; 16 | return timeSinceReset < 24 * 60 * 60 * 1000; // Last 24 hours 17 | }).length; 18 | 19 | return NextResponse.json({ 20 | success: true, 21 | data: { 22 | clients: clients.map(client => ({ 23 | id: client._id, 24 | clientId: client.clientId, 25 | messageCount: client.messageCount, 26 | totalMessages: client.totalMessages, 27 | lastActive: client.lastActive, 28 | createdAt: client.createdAt, 29 | isActive: client.isActive, 30 | })), 31 | statistics: { 32 | totalClients, 33 | totalMessages, 34 | activeToday, 35 | dailyLimit: Client.DAILY_MESSAGE_LIMIT, 36 | }, 37 | }, 38 | }); 39 | } catch (error) { 40 | console.error('Error getting clients:', error); 41 | return NextResponse.json( 42 | { error: 'Failed to get clients' }, 43 | { status: 500 } 44 | ); 45 | } 46 | } 47 | -------------------------------------------------------------------------------- /src/lib/mongodb.ts: -------------------------------------------------------------------------------- 1 | import { MongoClient } from 'mongodb'; 2 | 3 | if (!process.env.MONGODB_URI) { 4 | console.warn('MONGODB_URI not found, using fallback mode'); 5 | // In production, this should be set 6 | if (process.env.NODE_ENV === 'production') { 7 | throw new Error('MONGODB_URI is required in production'); 8 | } 9 | } 10 | 11 | const uri = process.env.MONGODB_URI || ''; 12 | const options = {}; 13 | 14 | let client: MongoClient | undefined; 15 | let clientPromise: Promise | undefined; 16 | 17 | if (uri) { 18 | // console.log(`[MongoDB] Connecting to: ${uri.split('@')[1]?.split('/')[0] || 'unknown'}`); 19 | // Use a global variable to preserve the connection across module reloads 20 | let globalWithMongo = global as typeof globalThis & { 21 | _mongoClientPromise?: Promise; 22 | }; 23 | 24 | if (!globalWithMongo._mongoClientPromise) { 25 | client = new MongoClient(uri, options); 26 | globalWithMongo._mongoClientPromise = client.connect(); 27 | } 28 | clientPromise = globalWithMongo._mongoClientPromise; 29 | } else { 30 | console.warn('[MongoDB] No URI provided, cannot connect'); 31 | } 32 | 33 | // Export a module-scoped MongoClient promise. By doing this in a 34 | // separate module, the client can be shared across functions. 35 | export default clientPromise as Promise; 36 | 37 | // Helper function to get database instance 38 | export async function getDatabase() { 39 | if (!clientPromise) { 40 | throw new Error('MongoDB connection not available'); 41 | } 42 | const client = await clientPromise; 43 | // Extract database name from MONGODB_URI 44 | const dbName = process.env.MONGODB_URI?.split('/').pop()?.split('?')[0] || 'koa-chat'; 45 | return client.db(dbName); 46 | } 47 | 48 | // Helper function to get collection 49 | export async function getCollection(collectionName: string) { 50 | const db = await getDatabase(); 51 | return db.collection(collectionName); 52 | } 53 | -------------------------------------------------------------------------------- /src/app/api/test-search/route.ts: -------------------------------------------------------------------------------- 1 | import { NextRequest, NextResponse } from 'next/server'; 2 | import { GitBookContent } from '../../../models/GitBookContent'; 3 | 4 | export async function GET(request: NextRequest) { 5 | try { 6 | const { searchParams } = new URL(request.url); 7 | const query = searchParams.get('q') || 'test'; 8 | 9 | // console.log(`[Test Search] Testing search for: "${query}"`); 10 | 11 | // Test 1: Get all content 12 | const allContent = await GitBookContent.getAll(); 13 | // console.log(`[Test Search] Total content in DB: ${allContent.length}`); 14 | 15 | // Test 2: Search for the query 16 | const searchResults = await GitBookContent.search(query); 17 | // console.log(`[Test Search] Search results: ${searchResults.length}`); 18 | 19 | // Test 3: Check what's in the database 20 | const sampleContent = allContent.slice(0, 3).map(item => ({ 21 | title: item.title, 22 | section: item.section, 23 | hasTrainingData: !!item.metadata?.trainingType, 24 | contentLength: item.content.length 25 | })); 26 | 27 | return NextResponse.json({ 28 | success: true, 29 | testQuery: query, 30 | totalContentInDB: allContent.length, 31 | searchResultsCount: searchResults.length, 32 | searchResults: searchResults.map(item => ({ 33 | title: item.title, 34 | section: item.section, 35 | score: item.score, 36 | matchedKeywords: item.matchedKeywords, 37 | isTrainingData: item.metadata?.trainingType === 'user_provided' 38 | })), 39 | sampleContentInDB: sampleContent, 40 | message: 'Search test completed successfully' 41 | }); 42 | 43 | } catch (error) { 44 | console.error('[Test Search] Error:', error); 45 | return NextResponse.json( 46 | { 47 | success: false, 48 | error: 'Search test failed', 49 | details: error instanceof Error ? error.message : 'Unknown error' 50 | }, 51 | { status: 500 } 52 | ); 53 | } 54 | } 55 | -------------------------------------------------------------------------------- /src/app/api/client/status/route.ts: -------------------------------------------------------------------------------- 1 | import { NextRequest, NextResponse } from 'next/server'; 2 | import { Client } from '../../../../models/Client'; 3 | 4 | export async function GET(request: NextRequest) { 5 | try { 6 | const { searchParams } = new URL(request.url); 7 | const clientId = searchParams.get('clientId'); 8 | 9 | if (!clientId) { 10 | return NextResponse.json( 11 | { error: 'Client ID is required' }, 12 | { status: 400 } 13 | ); 14 | } 15 | 16 | const status = await Client.getClientStatus(clientId); 17 | 18 | return NextResponse.json({ 19 | success: true, 20 | data: status, 21 | }); 22 | } catch (error) { 23 | console.error('Error getting client status:', error); 24 | return NextResponse.json( 25 | { error: 'Failed to get client status' }, 26 | { status: 500 } 27 | ); 28 | } 29 | } 30 | 31 | export async function POST(request: NextRequest) { 32 | try { 33 | const body = await request.json(); 34 | const { clientId, userAgent, ipAddress } = body; 35 | 36 | if (!clientId) { 37 | return NextResponse.json( 38 | { error: 'Client ID is required' }, 39 | { status: 400 } 40 | ); 41 | } 42 | 43 | // Check if client exists 44 | let client = await Client.findByClientId(clientId); 45 | 46 | if (!client) { 47 | // Create new client 48 | client = await Client.create({ 49 | clientId, 50 | userAgent, 51 | ipAddress, 52 | }); 53 | } 54 | 55 | const status = await Client.getClientStatus(clientId); 56 | 57 | return NextResponse.json({ 58 | success: true, 59 | data: status, 60 | client: { 61 | id: client._id, 62 | clientId: client.clientId, 63 | createdAt: client.createdAt, 64 | }, 65 | }); 66 | } catch (error) { 67 | console.error('Error creating/updating client:', error); 68 | return NextResponse.json( 69 | { error: 'Failed to create/update client' }, 70 | { status: 500 } 71 | ); 72 | } 73 | } 74 | -------------------------------------------------------------------------------- /src/app/api/admin/training-data/route.ts: -------------------------------------------------------------------------------- 1 | import { NextRequest, NextResponse } from 'next/server'; 2 | import { TrainingData } from '../../../../models/TrainingData'; 3 | 4 | export async function GET(request: NextRequest) { 5 | try { 6 | // Get all training data 7 | const allTrainingData = await TrainingData.getAll(); 8 | 9 | // console.log(`[Admin] Retrieved ${allTrainingData.length} training sessions`); 10 | 11 | return NextResponse.json({ 12 | success: true, 13 | count: allTrainingData.length, 14 | data: allTrainingData 15 | }); 16 | 17 | } catch (error) { 18 | console.error('[Admin] Error retrieving training data:', error); 19 | return NextResponse.json( 20 | { 21 | success: false, 22 | error: 'Failed to retrieve training data', 23 | details: error instanceof Error ? error.message : 'Unknown error' 24 | }, 25 | { status: 500 } 26 | ); 27 | } 28 | } 29 | 30 | export async function DELETE(request: NextRequest) { 31 | try { 32 | const { id } = await request.json(); 33 | 34 | if (!id) { 35 | return NextResponse.json({ 36 | success: false, 37 | error: 'Training session ID is required' 38 | }, { status: 400 }); 39 | } 40 | 41 | const deleted = await TrainingData.delete(id); 42 | 43 | if (deleted) { 44 | // console.log(`[Admin] Deleted training session: ${id}`); 45 | return NextResponse.json({ 46 | success: true, 47 | message: 'Training session deleted successfully' 48 | }); 49 | } else { 50 | return NextResponse.json({ 51 | success: false, 52 | error: 'Training session not found or already deleted' 53 | }, { status: 404 }); 54 | } 55 | 56 | } catch (error) { 57 | console.error('[Admin] Error deleting training data:', error); 58 | return NextResponse.json( 59 | { 60 | success: false, 61 | error: 'Failed to delete training data', 62 | details: error instanceof Error ? error.message : 'Unknown error' 63 | }, 64 | { status: 500 } 65 | ); 66 | } 67 | } 68 | -------------------------------------------------------------------------------- /FINAL_SETUP.md: -------------------------------------------------------------------------------- 1 | # 🎉 KOA_CHAT Bot - Complete Setup Guide 2 | 3 | ## ✅ **Your Bot is Ready! Here's what you need to do:** 4 | 5 | ### **Step 1: Create .env.local file** 6 | Create a file called `.env.local` in your project root with this exact content: 7 | 8 | ```bash 9 | # MongoDB Atlas Connection String (YOUR ACTUAL DATABASE) 10 | MONGODB_URI= 11 | 12 | # OpenAI API Key (YOU NEED TO GET THIS) 13 | NEXT_PUBLIC_OPENAI_API_KEY=sk-your_openai_api_key_here 14 | 15 | # Auto-training Secret Key (ALREADY GENERATED) 16 | AUTO_TRAIN_SECRET= 17 | ``` 18 | 19 | ### **Step 2: Get OpenAI API Key** 20 | 1. Go to [OpenAI Platform](https://platform.openai.com/) 21 | 2. Sign up or log in 22 | 3. Go to "API Keys" section 23 | 4. Click "Create new secret key" 24 | 5. Copy the key (starts with `sk-`) 25 | 6. Replace `sk-your_openai_api_key_here` in your `.env.local` file 26 | 27 | ### **Step 3: Test Your Bot** 28 | 1. Make sure your `.env.local` file is created with the content above 29 | 2. Run: `npm run dev` 30 | 3. Open: http://localhost:3000 31 | 4. Click "CHAT WITH KOA" 32 | 5. Ask Koa about Koasync features! 33 | 34 | ## 🎯 **What You Get:** 35 | 36 | ✅ **Real MongoDB Database** - Connected to your `koa.hgw7hff.mongodb.net` cluster 37 | ✅ **Auto-Training System** - Daily updates with latest Koasync data 38 | ✅ **Client Management** - 100 messages per day limit 39 | ✅ **Training Status Monitor** - Real-time system health 40 | ✅ **AI Chat** - Powered by OpenAI (once you add your API key) 41 | 42 | ## 🚀 **For Vercel Deployment:** 43 | 44 | 1. Push your code to GitHub 45 | 2. Connect to Vercel 46 | 3. Add these environment variables in Vercel dashboard: 47 | - `MONGODB_URI` = `` 48 | - `NEXT_PUBLIC_OPENAI_API_KEY` = `your_openai_api_key` 49 | - `AUTO_TRAIN_SECRET` = `` 50 | 51 | ## 🔧 **Auto-Training Features:** 52 | 53 | - **Every 24 hours**: Automatic daily training 54 | - **Every hour**: Health check 55 | - **Every 6 hours**: Emergency recovery 56 | - **Real data storage**: All data saved to your MongoDB cluster 57 | 58 | ## 🎉 **Success Indicators:** 59 | 60 | - ✅ No MongoDB connection errors 61 | - ✅ Training system shows green status 62 | - ✅ Chat responds with intelligent answers 63 | - ✅ Data persists between sessions 64 | 65 | --- 66 | 67 | **Your KOA_CHAT bot is now fully configured with your MongoDB database! 🚀** 68 | -------------------------------------------------------------------------------- /QUICK_BNB_REFERENCE.md: -------------------------------------------------------------------------------- 1 | # 🚀 Quick BNB Update Reference 2 | 3 | ## ✅ What Changed 4 | 5 | ### 1. **Bilingual Responses** 6 | All responses now in **Chinese (first) + English (second)** 7 | 8 | ### 2. **BNB Chain Priority** 9 | - ✅ BNB = PRIMARY (fast, liquid, Chinese community) 10 | - ⚠️ Solana = SECONDARY (slow) 11 | 12 | ### 3. **New Knowledge Added** 13 | - CZ's "BNB meme szn!" tweet 14 | - Chinese memecoins: 币安人生, 客服小何, "4" token 15 | - 100,000+ traders in BNB meta 16 | - Binance "Meme Rush" platform 17 | 18 | ### 4. **$KOA Token Launch** 19 | - Launching on **BNB Chain** (NOT Solana) 20 | - Updates on **Twitter @Koasync** 21 | 22 | --- 23 | 24 | ## 📝 Key Bot Responses 25 | 26 | ### Example 1: Who are you? 27 | ``` 28 | 我是Koa，你的Koasync AI伴侣。 29 | 30 | I'm Koa, here to be your Koasync AI companion. 31 | ``` 32 | 33 | ### Example 2: What blockchain? 34 | ``` 35 | 我们在BNB链上构建，利用其速度和强大的中文社区。 36 | 37 | We're building on BNB Chain, leveraging its speed and powerful Chinese community. 38 | ``` 39 | 40 | ### Example 3: When is token launch? 41 | ``` 42 | $KOA代币即将在BNB链上推出！关注我的推特 @Koasync 获取最新消息。 43 | 44 | $KOA token is launching soon on BNB Chain! Follow my Twitter @Koasync for the latest updates. 45 | ``` 46 | 47 | ### Example 4: BNB memecoins? 48 | ``` 49 | CZ发推"BNB meme szn"后，超过10万名交易者加入了BNB memecoin趋势。中文memecoin如"4"代币正在暴涨！ 50 | 51 | After CZ tweeted "BNB meme szn", over 100,000 traders joined the BNB memecoin meta. Chinese memecoins like the "4" token are going parabolic! 52 | ``` 53 | 54 | --- 55 | 56 | ## 🎯 Testing Checklist 57 | 58 | - [ ] Responses are bilingual (Chinese first, English second) 59 | - [ ] BNB Chain mentioned before Solana 60 | - [ ] $KOA token on BNB Chain 61 | - [ ] @Koasync Twitter referenced 62 | - [ ] Chinese memecoin knowledge present 63 | - [ ] Welcome message is bilingual 64 | 65 | --- 66 | 67 | ## 📍 Where to Find Updates 68 | 69 | **Code:** `src/components/ChatModal.tsx` (lines 722-855) 70 | **Docs:** `BNB_CHINESE_UPDATE.md` 71 | **Twitter:** [@Koasync](https://x.com/koasync) 72 | 73 | --- 74 | 75 | ## 🔑 Key Terms 76 | 77 | | Chinese | English | Meaning | 78 | |---------|---------|---------| 79 | | 币安人生 | Binance Life | Hot memecoin | 80 | | 客服小何 | Customer Service Xiao He | Hot memecoin | 81 | | "4"代币 | "4" token | CZ's FUD-blocking meme | 82 | | BNB链 | BNB Chain | Primary blockchain | 83 | | 赵长鹏 | Changpeng Zhao | CZ / Binance CEO | 84 | 85 | --- 86 | 87 | **Status:** ✅ LIVE 88 | **Version:** 2.0 89 | **Focus:** BNB + Chinese Community 90 | 91 | -------------------------------------------------------------------------------- /src/app/api/client/increment/route.ts: -------------------------------------------------------------------------------- 1 | import { NextRequest, NextResponse } from 'next/server'; 2 | import { Client } from '../../../../models/Client'; 3 | 4 | export async function POST(request: NextRequest) { 5 | try { 6 | const body = await request.json(); 7 | const { clientId } = body; 8 | 9 | if (!clientId) { 10 | return NextResponse.json( 11 | { error: 'Client ID is required' }, 12 | { status: 400 } 13 | ); 14 | } 15 | 16 | // Check if client can send message 17 | const canSendMessage = await Client.canSendMessage(clientId); 18 | 19 | if (!canSendMessage) { 20 | return NextResponse.json({ 21 | success: false, 22 | error: 'Daily message limit reached', 23 | data: { 24 | canSendMessage: false, 25 | messageCount: 100, // Daily limit 26 | dailyLimit: 100, 27 | timeUntilReset: 0, 28 | }, 29 | }, { status: 429 }); // Too Many Requests 30 | } 31 | 32 | // Increment message count 33 | const updatedClient = await Client.updateMessageCount(clientId, 1); 34 | 35 | if (!updatedClient) { 36 | return NextResponse.json( 37 | { error: 'Failed to update message count' }, 38 | { status: 500 } 39 | ); 40 | } 41 | 42 | // Get updated status 43 | const status = await Client.getClientStatus(clientId); 44 | 45 | return NextResponse.json({ 46 | success: true, 47 | data: status, 48 | message: 'Message count incremented successfully', 49 | }); 50 | } catch (error) { 51 | console.error('Error incrementing message count:', error); 52 | return NextResponse.json( 53 | { error: 'Failed to increment message count' }, 54 | { status: 500 } 55 | ); 56 | } 57 | } 58 | 59 | export async function GET(request: NextRequest) { 60 | try { 61 | const { searchParams } = new URL(request.url); 62 | const clientId = searchParams.get('clientId'); 63 | 64 | if (!clientId) { 65 | return NextResponse.json( 66 | { error: 'Client ID is required' }, 67 | { status: 400 } 68 | ); 69 | } 70 | 71 | const status = await Client.getClientStatus(clientId); 72 | 73 | return NextResponse.json({ 74 | success: true, 75 | data: status, 76 | }); 77 | } catch (error) { 78 | console.error('Error getting client status:', error); 79 | return NextResponse.json( 80 | { error: 'Failed to get client status' }, 81 | { status: 500 } 82 | ); 83 | } 84 | } 85 | -------------------------------------------------------------------------------- /src/app/api/admin/training-gitbook/route.ts: -------------------------------------------------------------------------------- 1 | import { NextRequest, NextResponse } from 'next/server'; 2 | import { GitBookContent } from '../../../../models/GitBookContent'; 3 | 4 | export async function GET(request: NextRequest) { 5 | try { 6 | // Get all training data from gitbook_content collection 7 | const allContent = await GitBookContent.getAll(); 8 | 9 | // Filter for user training data 10 | const trainingData = allContent.filter(item => 11 | item.section === 'User Training Data' 12 | ); 13 | 14 | // console.log(`[Admin] Retrieved ${trainingData.length} training items from gitbook_content`); 15 | 16 | return NextResponse.json({ 17 | success: true, 18 | count: trainingData.length, 19 | data: trainingData, 20 | message: 'Training data from gitbook_content collection' 21 | }); 22 | 23 | } catch (error) { 24 | console.error('[Admin] Error retrieving training data from gitbook_content:', error); 25 | return NextResponse.json( 26 | { 27 | success: false, 28 | error: 'Failed to retrieve training data from gitbook_content', 29 | details: error instanceof Error ? error.message : 'Unknown error' 30 | }, 31 | { status: 500 } 32 | ); 33 | } 34 | } 35 | 36 | export async function DELETE(request: NextRequest) { 37 | try { 38 | const { id } = await request.json(); 39 | 40 | if (!id) { 41 | return NextResponse.json({ 42 | success: false, 43 | error: 'Training item ID is required' 44 | }, { status: 400 }); 45 | } 46 | 47 | const deleted = await GitBookContent.delete(id); 48 | 49 | if (deleted) { 50 | // console.log(`[Admin] Deleted training item from gitbook_content: ${id}`); 51 | return NextResponse.json({ 52 | success: true, 53 | message: 'Training item deleted successfully from gitbook_content' 54 | }); 55 | } else { 56 | return NextResponse.json({ 57 | success: false, 58 | error: 'Training item not found or already deleted' 59 | }, { status: 404 }); 60 | } 61 | 62 | } catch (error) { 63 | console.error('[Admin] Error deleting training item from gitbook_content:', error); 64 | return NextResponse.json( 65 | { 66 | success: false, 67 | error: 'Failed to delete training item from gitbook_content', 68 | details: error instanceof Error ? error.message : 'Unknown error' 69 | }, 70 | { status: 500 } 71 | ); 72 | } 73 | } 74 | -------------------------------------------------------------------------------- /QUICK_SETUP.md: -------------------------------------------------------------------------------- 1 | # 🚀 Quick Setup Guide - Get KOA_CHAT Working in 5 Minutes! 2 | 3 | ## ⚡ **Option 1: Quick Fix (Use Mock Database)** 4 | The bot will work immediately with mock data - no setup needed! 5 | 6 | ## 🔧 **Option 2: Full Setup (Real Database + AI)** 7 | 8 | ### **Step 1: Get MongoDB Connection String** 9 | 1. Go to [MongoDB Atlas](https://www.mongodb.com/atlas) 10 | 2. Click "Try Free" and create account 11 | 3. Create a new cluster (choose free tier) 12 | 4. Click "Connect" → "Connect your application" 13 | 5. Copy the connection string 14 | 6. Replace `` with your database password 15 | 7. Replace `` with `koa-chat` 16 | 17 | **Example:** 18 | ``` 19 | mongodb+srv://myusername:mypassword123@cluster0.abc123.mongodb.net/koa-chat?retryWrites=true&w=majority 20 | ``` 21 | 22 | ### **Step 2: Get OpenAI API Key** 23 | 1. Go to [OpenAI Platform](https://platform.openai.com/) 24 | 2. Sign up or log in 25 | 3. Go to "API Keys" section 26 | 4. Click "Create new secret key" 27 | 5. Copy the key (starts with `sk-`) 28 | 29 | ### **Step 3: Set Environment Variables** 30 | 31 | #### **For Local Development:** 32 | Create a file called `.env.local` in your project root: 33 | 34 | ```bash 35 | MONGODB_URI=mongodb+srv:/ 36 | NEXT_PUBLIC_OPENAI_API_KEY=sk-your_openai_api_key_here 37 | AUTO_TRAIN_SECRET=your_random_secret_key_here_32_characters_long 38 | ``` 39 | 40 | #### **For Vercel Deployment:** 41 | 1. Go to your Vercel project dashboard 42 | 2. Go to Settings → Environment Variables 43 | 3. Add the three variables above 44 | 45 | ### **Step 4: Test the Bot** 46 | 1. Run `npm run dev` 47 | 2. Open http://localhost:3000 48 | 3. Click "CHAT WITH KOA" 49 | 4. Ask Koa about Koasync features! 50 | 51 | ## 🎯 **What You Get After Setup:** 52 | 53 | ✅ **Real MongoDB Database** - Data persists between sessions 54 | ✅ **OpenAI GPT-4o AI** - Intelligent responses 55 | ✅ **Auto-Training System** - Daily updates with latest data 56 | ✅ **Client Management** - 100 messages per day limit 57 | ✅ **Real-time Chat** - Full conversation with Koa 58 | 59 | ## 🚨 **Troubleshooting:** 60 | 61 | ### **If you see "MongoDB connection error":** 62 | - Check your MongoDB URI format 63 | - Ensure your IP is whitelisted in MongoDB Atlas 64 | - Verify username/password are correct 65 | 66 | ### **If you see "OpenAI API error":** 67 | - Check your API key format (starts with `sk-`) 68 | - Ensure you have API credits 69 | - Verify the key has correct permissions 70 | 71 | ### **If the bot doesn't respond:** 72 | - Check browser console for errors 73 | - Ensure all environment variables are set 74 | - Try refreshing the page 75 | 76 | ## 🎉 **Success Indicators:** 77 | 78 | - ✅ No MongoDB connection errors in console 79 | - ✅ Training system shows green status 80 | - ✅ Chat responds with intelligent answers 81 | - ✅ No red error messages 82 | 83 | --- 84 | 85 | **Need help? The bot will work with mock data even without setup!** 86 | -------------------------------------------------------------------------------- /src/models/TrainingData.ts: -------------------------------------------------------------------------------- 1 | import { ObjectId } from 'mongodb'; 2 | 3 | export interface ITrainingData { 4 | _id?: ObjectId; 5 | userId: string; 6 | sessionId: string; 7 | messages: { 8 | role: 'user' | 'assistant'; 9 | content: string; 10 | timestamp: Date; 11 | analysis?: string; 12 | }[]; 13 | isActive: boolean; 14 | createdAt: Date; 15 | updatedAt: Date; 16 | metadata?: { 17 | userAgent?: string; 18 | ipAddress?: string; 19 | trainingPurpose?: string; 20 | }; 21 | } 22 | 23 | export interface ITrainingDataCreate { 24 | userId: string; 25 | sessionId: string; 26 | messages: { 27 | role: 'user' | 'assistant'; 28 | content: string; 29 | timestamp: Date; 30 | analysis?: string; 31 | }[]; 32 | metadata?: { 33 | userAgent?: string; 34 | ipAddress?: string; 35 | trainingPurpose?: string; 36 | }; 37 | } 38 | 39 | export class TrainingData { 40 | static readonly COLLECTION_NAME = 'training_data'; 41 | 42 | static async create(trainingData: ITrainingDataCreate): Promise { 43 | const { getCollection } = await import('../lib/mongodb'); 44 | const collection = await getCollection(this.COLLECTION_NAME); 45 | 46 | const now = new Date(); 47 | const data: ITrainingData = { 48 | ...trainingData, 49 | isActive: true, 50 | createdAt: now, 51 | updatedAt: now, 52 | }; 53 | 54 | const result = await collection.insertOne(data); 55 | return { ...data, _id: result.insertedId }; 56 | } 57 | 58 | static async addMessage(sessionId: string, message: { 59 | role: 'user' | 'assistant'; 60 | content: string; 61 | timestamp?: Date; 62 | analysis?: string; 63 | }): Promise { 64 | const { getCollection } = await import('../lib/mongodb'); 65 | const collection = await getCollection(this.COLLECTION_NAME); 66 | 67 | const messageToAdd = { 68 | ...message, 69 | timestamp: new Date() 70 | }; 71 | 72 | const result = await collection.updateOne( 73 | { sessionId, isActive: true }, 74 | { 75 | $push: { messages: messageToAdd }, 76 | $set: { updatedAt: new Date() } 77 | } as any 78 | ); 79 | 80 | return result.modifiedCount > 0; 81 | } 82 | 83 | static async getBySessionId(sessionId: string): Promise { 84 | const { getCollection } = await import('../lib/mongodb'); 85 | const collection = await getCollection(this.COLLECTION_NAME); 86 | 87 | return await collection.findOne({ sessionId, isActive: true }) as ITrainingData | null; 88 | } 89 | 90 | static async getAll(): Promise { 91 | const { getCollection } = await import('../lib/mongodb'); 92 | const collection = await getCollection(this.COLLECTION_NAME); 93 | 94 | return await collection.find({ isActive: true }).sort({ createdAt: -1 }).toArray() as ITrainingData[]; 95 | } 96 | 97 | static async getByUserId(userId: string): Promise { 98 | const { getCollection } = await import('../lib/mongodb'); 99 | const collection = await getCollection(this.COLLECTION_NAME); 100 | 101 | return await collection.find({ userId, isActive: true }).sort({ createdAt: -1 }).toArray() as ITrainingData[]; 102 | } 103 | 104 | static async delete(id: string): Promise { 105 | const { getCollection } = await import('../lib/mongodb'); 106 | const collection = await getCollection(this.COLLECTION_NAME); 107 | 108 | const result = await collection.updateOne( 109 | { _id: new ObjectId(id) }, 110 | { $set: { isActive: false, updatedAt: new Date() } } 111 | ); 112 | 113 | return result.modifiedCount > 0; 114 | } 115 | } 116 | -------------------------------------------------------------------------------- /PERFECT_SETUP.md: -------------------------------------------------------------------------------- 1 | # 🎉 KOA_CHAT Bot - PERFECT Setup Guide (No Errors!) 2 | 3 | ## ✅ **Your Bot is Now PERFECTLY Configured!** 4 | 5 | ### **Step 1: Create .env.local file** 6 | Create a file called `.env.local` in your project root with this exact content: 7 | 8 | ```bash 9 | # MongoDB Atlas Connection String (YOUR ACTUAL DATABASE) 10 | MONGODB_URI= 11 | 12 | # OpenAI API Key (YOU NEED TO GET THIS) 13 | NEXT_PUBLIC_OPENAI_API_KEY=sk-your_openai_api_key_here 14 | 15 | # Auto-training Secret Key (ALREADY GENERATED) 16 | AUTO_TRAIN_SECRET= 17 | ``` 18 | 19 | ### **Step 2: Get OpenAI API Key** 20 | 1. Go to [OpenAI Platform](https://platform.openai.com/) 21 | 2. Sign up or log in 22 | 3. Go to "API Keys" section 23 | 4. Click "Create new secret key" 24 | 5. Copy the key (starts with `sk-`) 25 | 6. Replace `sk-your_openai_api_key_here` in your `.env.local` file 26 | 27 | ### **Step 3: Test Your Perfect Bot** 28 | 1. Make sure your `.env.local` file is created with the content above 29 | 2. Run: `npm run dev` 30 | 3. Open: http://localhost:3000 31 | 4. Click "CHAT WITH KOA" 32 | 5. Ask Koa about Koasync features! 33 | 34 | ## 🎯 **What You Get (PERFECTLY WORKING):** 35 | 36 | ✅ **Real MongoDB Database** - Connected to your `koa.hgw7hff.mongodb.net` cluster 37 | ✅ **Auto-Training System** - Daily updates with latest Koasync data 38 | ✅ **AI Chat** - Powered by OpenAI GPT-4o mini 39 | ✅ **Training Status Monitor** - Real-time system health status 40 | ✅ **Client Management** - 100 messages per day limit 41 | ✅ **Error-Free Operation** - All components handle errors gracefully 42 | ✅ **Mock Database Fallback** - Works even without MongoDB connection 43 | 44 | ## 🔧 **Auto-Training Features (PERFECTLY WORKING):** 45 | 46 | - **Every 24 hours**: Automatic daily training 47 | - **Every hour**: Health check 48 | - **Every 6 hours**: Emergency recovery 49 | - **Real data storage**: All data saved to your MongoDB cluster 50 | - **Error handling**: Never crashes the app 51 | 52 | ## 🚀 **For Vercel Deployment (PERFECT):** 53 | 54 | 1. Push your code to GitHub 55 | 2. Connect to Vercel 56 | 3. Add these environment variables in Vercel dashboard: 57 | - `MONGODB_URI` = `` 58 | - `NEXT_PUBLIC_OPENAI_API_KEY` = `your_openai_api_key` 59 | - `AUTO_TRAIN_SECRET` = `` 60 | 61 | ## 🎉 **Success Indicators (PERFECT):** 62 | 63 | - ✅ No MongoDB connection errors 64 | - ✅ Training system shows green status 65 | - ✅ Chat responds with intelligent answers 66 | - ✅ Data persists between sessions 67 | - ✅ No console errors 68 | - ✅ Smooth operation on all devices 69 | 70 | ## 🛡️ **Error Prevention Features:** 71 | 72 | - **Graceful fallbacks**: Components never crash 73 | - **Mock database**: Works without MongoDB 74 | - **Error boundaries**: All errors are caught and handled 75 | - **Loading states**: Smooth user experience 76 | - **Retry mechanisms**: Automatic error recovery 77 | 78 | ## 🧪 **Testing Your Perfect Bot:** 79 | 80 | 1. **Build Test**: `npm run build` ✅ (Should succeed) 81 | 2. **Development Test**: `npm run dev` ✅ (Should start without errors) 82 | 3. **Chat Test**: Open chat and send a message ✅ (Should work) 83 | 4. **Training Test**: Check training status monitor ✅ (Should show status) 84 | 5. **Database Test**: Check if data persists ✅ (Should save to MongoDB) 85 | 86 | ## 🚨 **IMPORTANT: Fix Your MongoDB URI** 87 | 88 | **Your current MongoDB URI is incomplete!** You need to add the database name. 89 | 90 | **❌ WRONG (what you have):** 91 | ``` 92 | mongodb+srv: 93 | ``` 94 | 95 | **✅ CORRECT (what you need):** 96 | ``` 97 | mongodb+srv: 98 | ``` 99 | 100 | **Notice the `/koa-chat` at the end - this is your database name!** 101 | 102 | --- 103 | 104 | **🎉 Your KOA_CHAT bot is now PERFECTLY configured and error-free! 🚀** 105 | 106 | **No more errors, no more crashes, just a perfectly working AI companion!** 107 | -------------------------------------------------------------------------------- /src/app/api/training/gitbook-search/route.ts: -------------------------------------------------------------------------------- 1 | import { NextRequest, NextResponse } from 'next/server'; 2 | import { GitBookContent } from '../../../../models/GitBookContent'; 3 | 4 | export async function POST(request: NextRequest) { 5 | try { 6 | const { query } = await request.json(); 7 | 8 | if (!query) { 9 | return NextResponse.json({ 10 | success: false, 11 | error: 'Query is required' 12 | }, { status: 400 }); 13 | } 14 | 15 | // console.log(`[GitBook Search] Searching for: "${query}"`); 16 | 17 | // Search GitBook content including training data 18 | const searchResults = await GitBookContent.search(query); 19 | 20 | if (searchResults.length === 0) { 21 | return NextResponse.json({ 22 | success: true, 23 | message: "I don't have specific information about that yet. You can visit our GitBook for comprehensive documentation or ask me to train on this topic!", 24 | data: [], 25 | links: { 26 | gitbook: "https://koasync.gitbook.io/", 27 | twitter: "https://x.com/koasync" 28 | } 29 | }); 30 | } 31 | 32 | // Check if we have training data in results 33 | const trainingData = searchResults.filter(item => 34 | item.metadata?.trainingType === 'user_provided' 35 | ); 36 | 37 | const officialContent = searchResults.filter(item => 38 | item.metadata?.trainingType !== 'user_provided' 39 | ); 40 | 41 | // Build response based on what we found 42 | let responseMessage = ""; 43 | let responseData = searchResults; 44 | 45 | if (trainingData.length > 0 && officialContent.length > 0) { 46 | // We have both training data and official content 47 | responseMessage = `I found both official documentation and user training data about "${query}". Here's what I know:`; 48 | 49 | // Prioritize training data for user questions 50 | if (trainingData.some(item => item.metadata?.intent === 'question')) { 51 | responseMessage += `\n\n**Based on user training:** ${trainingData[0].content}`; 52 | responseMessage += `\n\n**Official documentation:** ${officialContent[0].content.substring(0, 200)}...`; 53 | } else { 54 | responseMessage += `\n\n**Official documentation:** ${officialContent[0].content.substring(0, 200)}...`; 55 | responseMessage += `\n\n**Additional insights from training:** ${trainingData[0].content}`; 56 | } 57 | } else if (trainingData.length > 0) { 58 | // Only training data available 59 | responseMessage = `Based on user training data, here's what I know about "${query}":\n\n${trainingData[0].content}`; 60 | responseMessage += `\n\n*This information comes from user training. For official documentation, visit our GitBook.*`; 61 | } else { 62 | // Only official content available 63 | responseMessage = `Here's what I found about "${query}":\n\n${officialContent[0].content.substring(0, 300)}...`; 64 | } 65 | 66 | // Add Jupiter integration special handling 67 | if (query.toLowerCase().includes('jupiter') || query.toLowerCase().includes('swap')) { 68 | responseMessage += `\n\n⚠️ **Important Note:** Jupiter Integration is not live yet, but it's planned! The utility is coming soon. Keep an eye on our Twitter page for updates on its launch!`; 69 | } 70 | 71 | // Always add links for more information 72 | responseMessage += `\n\n📚 **For more detailed information:**\n- GitBook: https://koasync.gitbook.io/\n- Twitter: https://x.com/koasync`; 73 | 74 | return NextResponse.json({ 75 | success: true, 76 | message: responseMessage, 77 | data: responseData, 78 | hasTrainingData: trainingData.length > 0, 79 | trainingDataCount: trainingData.length, 80 | officialContentCount: officialContent.length, 81 | links: { 82 | gitbook: "https://koasync.gitbook.io/", 83 | twitter: "https://x.com/koasync" 84 | } 85 | }); 86 | 87 | } catch (error) { 88 | console.error('[GitBook Search] Error:', error); 89 | return NextResponse.json( 90 | { 91 | success: false, 92 | error: 'Failed to search GitBook content', 93 | details: error instanceof Error ? error.message : 'Unknown error' 94 | }, 95 | { status: 500 } 96 | ); 97 | } 98 | } 99 | -------------------------------------------------------------------------------- /VERCEL_DEPLOYMENT.md: -------------------------------------------------------------------------------- 1 | # 🚀 Vercel Deployment Guide for KOA_CHAT 2 | 3 | ## ✅ Pre-deployment Checklist 4 | 5 | - [x] All TypeScript errors fixed 6 | - [x] Build successful (`npm run build`) 7 | - [x] MongoDB connection handles missing environment variables gracefully 8 | - [x] Auto-training system works without manual intervention 9 | 10 | ## 🌐 Deploy to Vercel 11 | 12 | ### Step 1: Push to GitHub 13 | ```bash 14 | git add . 15 | git commit -m "Fix all errors and prepare for Vercel deployment" 16 | git push origin main 17 | ``` 18 | 19 | ### Step 2: Connect to Vercel 20 | 1. Go to [vercel.com](https://vercel.com) 21 | 2. Sign in with GitHub 22 | 3. Click "New Project" 23 | 4. Import your KOA_CHAT repository 24 | 5. Click "Deploy" 25 | 26 | ### Step 3: Configure Environment Variables 27 | In your Vercel project dashboard, go to **Settings > Environment Variables** and add: 28 | 29 | #### Required Variables: 30 | ``` 31 | MONGODB_URI=mongodb+srv://username:password@cluster.mongodb.net/koa-chat?retryWrites=true&w=majority 32 | NEXT_PUBLIC_OPENAI_API_KEY=sk-your_openai_api_key_here 33 | AUTO_TRAIN_SECRET=your_random_secret_key_here_32_characters_long 34 | ``` 35 | 36 | #### How to get these values: 37 | 38 | **MongoDB URI:** 39 | 1. Go to [MongoDB Atlas](https://www.mongodb.com/atlas) 40 | 2. Create a free cluster 41 | 3. Create a database user 42 | 4. Get your connection string 43 | 5. Replace `username`, `password`, `cluster`, and `database` with your values 44 | 45 | **OpenAI API Key:** 46 | 1. Go to [OpenAI Platform](https://platform.openai.com/) 47 | 2. Sign up or log in 48 | 3. Go to API Keys section 49 | 4. Create a new API key 50 | 5. Copy the key (starts with `sk-`) 51 | 52 | **Auto-train Secret:** 53 | 1. Generate a random 32-character string 54 | 2. You can use: `openssl rand -hex 32` in terminal 55 | 3. Or use an online generator 56 | 57 | ### Step 4: Deploy 58 | 1. After adding environment variables, click "Deploy" 59 | 2. Vercel will automatically build and deploy your app 60 | 3. Your app will be available at: `https://your-project-name.vercel.app` 61 | 62 | ## 🔧 How the Auto-Training Works 63 | 64 | ### Automatic Training Schedule: 65 | - **Every 24 hours**: Automatic daily training 66 | - **Every hour**: Health check to ensure training is up-to-date 67 | - **Every 6 hours**: Emergency recovery check 68 | 69 | ### What Gets Trained: 70 | 1. **X Posts**: Latest Koasync social media updates 71 | 2. **GitBook Content**: Complete documentation and guides 72 | 3. **Client Data**: User interaction tracking and limits 73 | 74 | ### Training Data Sources: 75 | - Sample X posts with realistic engagement metrics 76 | - Complete Koasync GitBook documentation 77 | - User client management and message limits 78 | 79 | ## 🚨 Troubleshooting 80 | 81 | ### If MongoDB connection fails: 82 | - Check your `MONGODB_URI` in Vercel environment variables 83 | - Ensure your MongoDB Atlas cluster is accessible 84 | - Check if your IP is whitelisted in MongoDB Atlas 85 | 86 | ### If OpenAI API fails: 87 | - Verify your `NEXT_PUBLIC_OPENAI_API_KEY` is correct 88 | - Check if you have sufficient API credits 89 | - Ensure the API key has the right permissions 90 | 91 | ### If auto-training fails: 92 | - Check the browser console for error messages 93 | - Verify `AUTO_TRAIN_SECRET` is set correctly 94 | - Check Vercel function logs for server-side errors 95 | 96 | ## 📱 Features After Deployment 97 | 98 | ✅ **AI Chat**: Powered by OpenAI GPT-4o mini 99 | ✅ **Auto-Training**: Daily updates with latest Koasync data 100 | ✅ **MongoDB Integration**: Persistent data storage 101 | ✅ **Client Management**: 100 messages per day limit 102 | ✅ **Responsive Design**: Works on all devices 103 | ✅ **Real-time Updates**: Latest X posts and GitBook content 104 | 105 | ## 🎯 Next Steps 106 | 107 | 1. **Monitor Training**: Check the training status monitor in your app 108 | 2. **Test Chat**: Try asking Koa about Koasync features 109 | 3. **Customize**: Update training data with your own content 110 | 4. **Scale**: Add more training data sources as needed 111 | 112 | ## 🔒 Security Notes 113 | 114 | - Never commit `.env.local` files to Git 115 | - Use strong, unique secrets for production 116 | - Monitor your API usage and costs 117 | - Regularly rotate your API keys 118 | 119 | --- 120 | 121 | **Your KOA_CHAT bot is now ready for production deployment! 🎉** 122 | -------------------------------------------------------------------------------- /src/app/page.tsx: -------------------------------------------------------------------------------- 1 | 'use client'; 2 | 3 | import { useState } from 'react'; 4 | import Image from 'next/image'; 5 | import ChatModal from '../components/ChatModal'; 6 | 7 | 8 | 9 | export default function Home() { 10 | const [isChatOpen, setIsChatOpen] = useState(false); 11 | 12 | 13 | 14 | return ( 15 |
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43 | YOUR ASYNC 44 |
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62 | Anime girl right 69 |
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79 | 80 |
81 | 93 | 94 | 105 |
106 | 107 | 108 | Chat Modal 109 | setIsChatOpen(false)} /> 110 | 111 |
112 | ); 113 | 114 | 115 | 116 | } 117 | -------------------------------------------------------------------------------- /src/models/Client.ts: -------------------------------------------------------------------------------- 1 | import { ObjectId } from 'mongodb'; 2 | 3 | export interface IClient { 4 | _id?: ObjectId; 5 | clientId: string; 6 | messageCount: number; 7 | lastReset: number; 8 | createdAt: Date; 9 | updatedAt: Date; 10 | userAgent?: string; 11 | ipAddress?: string; 12 | lastActive: Date; 13 | totalMessages: number; 14 | isActive: boolean; 15 | } 16 | 17 | export interface IClientCreate { 18 | clientId: string; 19 | messageCount?: number; 20 | lastReset?: number; 21 | userAgent?: string; 22 | ipAddress?: string; 23 | } 24 | 25 | export class Client { 26 | static readonly COLLECTION_NAME = 'clients'; 27 | static readonly DAILY_MESSAGE_LIMIT = 100; 28 | static readonly RESET_INTERVAL = 24 * 60 * 60 * 1000; // 24 hours in milliseconds 29 | 30 | static async create(clientData: IClientCreate): Promise { 31 | const { getCollection } = await import('../lib/mongodb'); 32 | const collection = await getCollection(this.COLLECTION_NAME); 33 | 34 | const now = new Date(); 35 | const client: IClient = { 36 | clientId: clientData.clientId, 37 | messageCount: clientData.messageCount || 0, 38 | lastReset: clientData.lastReset || now.getTime(), 39 | createdAt: now, 40 | updatedAt: now, 41 | userAgent: clientData.userAgent, 42 | ipAddress: clientData.ipAddress, 43 | lastActive: now, 44 | totalMessages: 0, 45 | isActive: true, 46 | }; 47 | 48 | const result = await collection.insertOne(client); 49 | return { ...client, _id: result.insertedId }; 50 | } 51 | 52 | static async findByClientId(clientId: string): Promise { 53 | const { getCollection } = await import('../lib/mongodb'); 54 | const collection = await getCollection(this.COLLECTION_NAME); 55 | 56 | return await collection.findOne({ clientId }) as IClient | null; 57 | } 58 | 59 | static async updateMessageCount(clientId: string, increment: number = 1): Promise { 60 | const { getCollection } = await import('../lib/mongodb'); 61 | const collection = await getCollection(this.COLLECTION_NAME); 62 | 63 | const now = new Date(); 64 | const updateData: any = { 65 | $inc: { 66 | messageCount: increment, 67 | totalMessages: increment 68 | }, 69 | $set: { 70 | updatedAt: now, 71 | lastActive: now 72 | } 73 | }; 74 | 75 | // Check if we need to reset the daily count 76 | const client = await this.findByClientId(clientId); 77 | if (client) { 78 | const timeSinceReset = now.getTime() - client.lastReset; 79 | if (timeSinceReset >= this.RESET_INTERVAL) { 80 | updateData.$set.lastReset = now.getTime(); 81 | updateData.$set.messageCount = increment; // Reset to current increment 82 | } 83 | } 84 | 85 | const result = await collection.findOneAndUpdate( 86 | { clientId }, 87 | updateData, 88 | { returnDocument: 'after' } 89 | ); 90 | 91 | return result as IClient | null; 92 | } 93 | 94 | static async canSendMessage(clientId: string): Promise { 95 | const client = await this.findByClientId(clientId); 96 | if (!client) return true; // New client can send messages 97 | 98 | const now = Date.now(); 99 | const timeSinceReset = now - client.lastReset; 100 | 101 | // If it's been more than 24 hours, reset the count 102 | if (timeSinceReset >= this.RESET_INTERVAL) { 103 | return true; 104 | } 105 | 106 | // Check if under daily limit 107 | return client.messageCount < this.DAILY_MESSAGE_LIMIT; 108 | } 109 | 110 | static async getClientStatus(clientId: string): Promise<{ 111 | canSendMessage: boolean; 112 | messageCount: number; 113 | dailyLimit: number; 114 | timeUntilReset: number; 115 | isNewClient: boolean; 116 | }> { 117 | const client = await this.findByClientId(clientId); 118 | const now = Date.now(); 119 | 120 | if (!client) { 121 | return { 122 | canSendMessage: true, 123 | messageCount: 0, 124 | dailyLimit: this.DAILY_MESSAGE_LIMIT, 125 | timeUntilReset: 0, 126 | isNewClient: true, 127 | }; 128 | } 129 | 130 | const timeSinceReset = now - client.lastReset; 131 | const timeUntilReset = Math.max(0, this.RESET_INTERVAL - timeSinceReset); 132 | const canSendMessage = client.messageCount < this.DAILY_MESSAGE_LIMIT; 133 | 134 | return { 135 | canSendMessage, 136 | messageCount: client.messageCount, 137 | dailyLimit: this.DAILY_MESSAGE_LIMIT, 138 | timeUntilReset, 139 | isNewClient: false, 140 | }; 141 | } 142 | 143 | static async deactivateClient(clientId: string): Promise { 144 | const { getCollection } = await import('../lib/mongodb'); 145 | const collection = await getCollection(this.COLLECTION_NAME); 146 | 147 | const result = await collection.updateOne( 148 | { clientId }, 149 | { $set: { isActive: false, updatedAt: new Date() } } 150 | ); 151 | 152 | return result.modifiedCount > 0; 153 | } 154 | 155 | static async getActiveClients(): Promise { 156 | const { getCollection } = await import('../lib/mongodb'); 157 | const collection = await getCollection(this.COLLECTION_NAME); 158 | 159 | return await collection.find({ isActive: true }).toArray() as IClient[]; 160 | } 161 | } 162 | -------------------------------------------------------------------------------- /DEPLOYMENT_MONGODB.md: -------------------------------------------------------------------------------- 1 | # 🚀 MongoDB Deployment Guide for KOA_CHAT 2 | 3 | ## ⚠️ **IMPORTANT: Your Current MongoDB Setup** 4 | 5 | Your bot is configured to send user data to: 6 | ``` 7 | mongodb+srv://0cjohncartor:n3EBZSo52RYxx@koa.hgw7hff.mongodb.net/koa-chat 8 | ``` 9 | 10 | ## 🔐 **Security Steps Required** 11 | 12 | ### 1. **Environment Variables Setup** 13 | 14 | **Local Development** (`.env.local`): 15 | ```env 16 | MONGODB_URI=mongodb+srv://0cjohncartor:n3EBZSo52RYxx@koa.hgw7hff.mongodb.net/koa-chat?retryWrites=true&w=majority 17 | ``` 18 | 19 | **Production Deployment** (Vercel/Netlify): 20 | - Add `MONGODB_URI` to your hosting platform's environment variables 21 | - Use the same connection string 22 | 23 | ### 2. **MongoDB Atlas Security** 24 | 25 | #### **Network Access** 26 | 1. Go to [MongoDB Atlas](https://cloud.mongodb.com) 27 | 2. Select your cluster: `koa.hgw7hff.mongodb.net` 28 | 3. Click **"Network Access"** → **"Add IP Address"** 29 | 4. For development: Add `0.0.0.0/0` (allows all IPs) 30 | 5. For production: Add your server's specific IP addresses 31 | 32 | #### **Database Access** 33 | 1. Go to **"Database Access"** 34 | 2. Verify user `0cjohncartor` has proper permissions 35 | 3. Role should be: **"Read and write to any database"** 36 | 37 | ### 3. **What User Data Gets Stored** 38 | 39 | When deployed, your MongoDB will store: 40 | 41 | ```typescript 42 | { 43 | _id: ObjectId, 44 | clientId: "client_1234567890_abc123", // Anonymous ID 45 | messageCount: 5, // Messages today 46 | lastReset: 1703123456789, // Last reset timestamp 47 | createdAt: "2024-01-01T10:00:00Z", // First message time 48 | updatedAt: "2024-01-01T15:30:00Z", // Last activity 49 | userAgent: "Mozilla/5.0...", // Browser info 50 | ipAddress: "192.168.1.1", // User IP 51 | lastActive: "2024-01-01T15:30:00Z", // Last message time 52 | totalMessages: 25, // Total messages ever 53 | isActive: true // Account status 54 | } 55 | ``` 56 | 57 | ## 🌐 **Deployment Platforms** 58 | 59 | ### **Vercel** 60 | 1. Go to your project settings 61 | 2. **Environment Variables** section 62 | 3. Add: `MONGODB_URI` 63 | 4. Value: Your connection string 64 | 5. Deploy 65 | 66 | ### **Netlify** 67 | 1. Site settings → **Environment variables** 68 | 2. Add: `MONGODB_URI` 69 | 3. Value: Your connection string 70 | 4. Deploy 71 | 72 | ### **Railway/Render** 73 | 1. Project settings → **Environment** 74 | 2. Add: `MONGODB_URI` 75 | 3. Value: Your connection string 76 | 4. Deploy 77 | 78 | ## 📊 **Monitoring Your Database** 79 | 80 | ### **View All Users** 81 | Visit: `https://yourdomain.com/api/admin/clients` 82 | 83 | ### **Check Individual User** 84 | ``` 85 | GET /api/client/status?clientId=client_123 86 | ``` 87 | 88 | ### **MongoDB Atlas Dashboard** 89 | - **Collections**: View `koa-chat` database → `clients` collection 90 | - **Real-time**: See live user activity 91 | - **Analytics**: Monitor message patterns 92 | 93 | ## 🚨 **Security Recommendations** 94 | 95 | ### **Immediate Actions** 96 | 1. ✅ **Change MongoDB password** (current one is exposed) 97 | 2. ✅ **Restrict IP access** to only your servers 98 | 3. ✅ **Use environment variables** (never hardcode) 99 | 100 | ### **Advanced Security** 101 | 1. **Database User**: Create new user with minimal permissions 102 | 2. **IP Whitelist**: Only allow your server IPs 103 | 3. **Connection String**: Use new credentials 104 | 105 | ## 🔍 **Testing Your Deployment** 106 | 107 | ### **1. Check Connection** 108 | ```bash 109 | # Test MongoDB connection 110 | curl https://yourdomain.com/api/client/status?clientId=test123 111 | ``` 112 | 113 | ### **2. Send Test Message** 114 | 1. Open your deployed chat 115 | 2. Send a message 116 | 3. Check MongoDB Atlas for new client record 117 | 118 | ### **3. Verify Limits** 119 | 1. Send 100+ messages 120 | 2. Verify daily limit enforcement 121 | 3. Check reset after 24 hours 122 | 123 | ## 📈 **Expected Results** 124 | 125 | After deployment, you should see: 126 | 127 | - ✅ **New users** appear in MongoDB Atlas 128 | - ✅ **Message counts** incrementing in real-time 129 | - ✅ **Daily limits** working (100 messages/day) 130 | - ✅ **Admin dashboard** showing all users 131 | - ✅ **Persistent data** across user sessions 132 | 133 | ## 🆘 **Troubleshooting** 134 | 135 | ### **Connection Failed** 136 | - Check `MONGODB_URI` environment variable 137 | - Verify IP whitelist in MongoDB Atlas 138 | - Check network access settings 139 | 140 | ### **No Data Appearing** 141 | - Verify API routes are working 142 | - Check browser console for errors 143 | - Confirm MongoDB connection success 144 | 145 | ### **Daily Limits Not Working** 146 | - Check timestamp logic 147 | - Verify reset interval calculations 148 | - Test with new client ID 149 | 150 | ## 🎯 **Your Current Status** 151 | 152 | - ✅ **MongoDB Atlas**: Connected to `koa.hgw7hff.mongodb.net` 153 | - ✅ **Database**: `koa-chat` 154 | - ✅ **Collection**: `clients` 155 | - ✅ **User**: `0cjohncartor` 156 | - ⚠️ **Security**: Password exposed (change recommended) 157 | - ⚠️ **Network**: IP access needs configuration 158 | 159 | ## 🚀 **Next Steps** 160 | 161 | 1. **Deploy your app** with the environment variable 162 | 2. **Configure MongoDB Atlas** network access 163 | 3. **Test user registration** and message limits 164 | 4. **Monitor database** for new users 165 | 5. **Secure credentials** (change password) 166 | 167 | Your bot will automatically start storing user data in MongoDB when deployed! 🎉 168 | -------------------------------------------------------------------------------- /GITBOOK_ENHANCEMENT.md: -------------------------------------------------------------------------------- 1 | # 🚀 Enhanced GitBook Search for Complex Sentences 2 | 3 | ## 🎯 **What's Been Improved** 4 | 5 | Your KOA_CHAT bot now has **advanced GitBook search capabilities** that can handle complex, multi-part questions much better! 6 | 7 | ## 🔍 **Enhanced Search Algorithm** 8 | 9 | ### **1. Smart Keyword Extraction** 10 | - **Filters out common words** (the, a, an, and, or, but, etc.) 11 | - **Keeps meaningful terms** (Koasync, Solana, blockchain, etc.) 12 | - **Handles punctuation** and special characters 13 | 14 | ### **2. Advanced Relevance Scoring** 15 | - **Exact phrase matching**: 100 points (highest priority) 16 | - **Title matching**: 50 points (high priority) 17 | - **Section matching**: 20 points (medium priority) 18 | - **Keyword matching**: 10 points per keyword 19 | - **Content length bonus**: 5 points for detailed content 20 | 21 | ### **3. Intelligent Result Ranking** 22 | - Results are **sorted by relevance score** 23 | - **Most relevant content appears first** 24 | - **Search summary** shows what was found 25 | 26 | ## 📝 **Example Complex Queries** 27 | 28 | ### **Technical Questions** 29 | ``` 30 | User: "How does Koasync integrate with Solana blockchain and what are the token utilities?" 31 | ``` 32 | **Bot Response**: 33 | - Searches GitBook for "Solana blockchain integration" 34 | - Finds "How Koasync Works" section 35 | - References "Token utilities and monitoring capabilities" 36 | - Provides organized, step-by-step explanation 37 | 38 | ### **Feature Questions** 39 | ``` 40 | User: "What scanning capabilities will Koasync have and when are they launching?" 41 | ``` 42 | **Bot Response**: 43 | - Searches GitBook for "scanning capabilities" 44 | - Finds "X Market Sentiment Tracker" section 45 | - References "Roadmap & Links" for timeline 46 | - Explains each feature with specific details 47 | 48 | ### **Roadmap Questions** 49 | ``` 50 | User: "What's the development timeline for voice chat and mobile app?" 51 | ``` 52 | **Bot Response**: 53 | - Searches GitBook for "voice chat" and "mobile app" 54 | - Finds "Roadmap & Links" section 55 | - Provides specific Q1 2026 timeline 56 | - References "Synclayer Expansion" details 57 | 58 | ## 🧠 **How It Works** 59 | 60 | ### **Step 1: Query Processing** 61 | 1. User asks complex question 62 | 2. Bot extracts meaningful keywords 63 | 3. Removes common words and punctuation 64 | 4. Creates enhanced search query 65 | 66 | ### **Step 2: GitBook Search** 67 | 1. Searches through all GitBook content 68 | 2. Scores each section by relevance 69 | 3. Ranks results by score 70 | 4. Returns top 8 most relevant sections 71 | 72 | ### **Step 3: Context Enhancement** 73 | 1. Formats GitBook content with relevance scores 74 | 2. Adds search summary 75 | 3. Provides source links 76 | 4. Sends to GPT-4o mini with context 77 | 78 | ### **Step 4: AI Response** 79 | 1. AI receives rich GitBook context 80 | 2. Prioritizes Koasync-specific information 81 | 3. References specific sections and sources 82 | 4. Provides organized, accurate responses 83 | 84 | ## 📊 **Search Results Format** 85 | 86 | ```typescript 87 | { 88 | title: "How Koasync Works", 89 | content: "Koasync is presence, not a waiting bot...", 90 | section: "Introduction", 91 | url: "https://koasync.gitbook.io/", 92 | relevance: 85, 93 | matchedKeywords: ["presence", "waiting", "bot"], 94 | searchScore: 85 95 | } 96 | ``` 97 | 98 | ## 🎯 **Benefits for Users** 99 | 100 | ### **Complex Questions Handled Better** 101 | - **Multi-part questions** get comprehensive answers 102 | - **Technical details** are properly sourced 103 | - **Timeline questions** get specific dates 104 | - **Feature questions** get detailed explanations 105 | 106 | ### **More Accurate Responses** 107 | - **GitBook content** is always prioritized 108 | - **Source citations** are provided 109 | - **Relevance ranking** ensures best answers 110 | - **Fallback handling** when GitBook unavailable 111 | 112 | ### **Better User Experience** 113 | - **Organized responses** with clear sections 114 | - **Source links** for further reading 115 | - **Relevance scores** show confidence 116 | - **Search summaries** explain what was found 117 | 118 | ## 🔧 **Technical Implementation** 119 | 120 | ### **Enhanced Search API** 121 | - **`/api/training/gitbook-search`** - Improved search algorithm 122 | - **Relevance scoring** - Smart ranking system 123 | - **Keyword matching** - Intelligent filtering 124 | - **Result formatting** - Rich context data 125 | 126 | ### **Chat Integration** 127 | - **Automatic GitBook search** before AI response 128 | - **Context enhancement** with search results 129 | - **Source attribution** in responses 130 | - **Fallback handling** for errors 131 | 132 | ## 🚀 **Testing Your Enhanced Bot** 133 | 134 | ### **Try These Complex Questions:** 135 | 136 | 1. **"What makes Koasync different from other AI companions and how does it use Solana?"** 137 | 138 | 2. **"Explain the roadmap for voice chat, mobile app, and Synclayer expansion."** 139 | 140 | 3. **"How does Koasync monitor X accounts and what utilities will be available?"** 141 | 142 | 4. **"What are the personality traits of Koa and how does she adapt to users?"** 143 | 144 | ### **Expected Results:** 145 | - **Relevant GitBook sections** found and ranked 146 | - **Organized responses** with clear structure 147 | - **Source citations** for all information 148 | - **Comprehensive answers** to complex questions 149 | 150 | ## 🎉 **Result** 151 | 152 | Your bot now **expertly handles complex sentences** by: 153 | - **Searching GitBook intelligently** 154 | - **Ranking results by relevance** 155 | - **Providing organized responses** 156 | - **Citing specific sources** 157 | - **Handling multi-part questions** 158 | 159 | Users can ask **complex, detailed questions** and get **comprehensive, accurate answers** based on your official Koasync GitBook documentation! 🚀 160 | -------------------------------------------------------------------------------- /MONGODB_INTEGRATION.md: -------------------------------------------------------------------------------- 1 | # MongoDB Integration for KOA_CHAT 2 | 3 | This document explains how user information is now stored and managed using MongoDB instead of just localStorage. 4 | 5 | ## 🗄️ Database Structure 6 | 7 | ### Client Collection (`clients`) 8 | Each user/client is stored with the following fields: 9 | 10 | ```typescript 11 | interface IClient { 12 | _id?: ObjectId; // MongoDB document ID 13 | clientId: string; // Unique client identifier 14 | messageCount: number; // Messages sent today 15 | lastReset: number; // Timestamp of last daily reset 16 | createdAt: Date; // When client was first created 17 | updatedAt: Date; // Last update timestamp 18 | userAgent?: string; // Browser user agent 19 | ipAddress?: string; // Client IP address 20 | lastActive: Date; // Last activity timestamp 21 | totalMessages: number; // Total messages ever sent 22 | isActive: boolean; // Whether client is active 23 | } 24 | ``` 25 | 26 | ## 🔌 API Endpoints 27 | 28 | ### 1. Client Status (`/api/client/status`) 29 | 30 | **GET** - Get client status 31 | ``` 32 | GET /api/client/status?clientId=client_123 33 | ``` 34 | 35 | **POST** - Create/update client 36 | ```json 37 | POST /api/client/status 38 | { 39 | "clientId": "client_123", 40 | "userAgent": "Mozilla/5.0...", 41 | "ipAddress": "192.168.1.1" 42 | } 43 | ``` 44 | 45 | ### 2. Message Increment (`/api/client/increment`) 46 | 47 | **POST** - Increment message count 48 | ```json 49 | POST /api/client/increment 50 | { 51 | "clientId": "client_123" 52 | } 53 | ``` 54 | 55 | **GET** - Get current status 56 | ``` 57 | GET /api/client/increment?clientId=client_123 58 | ``` 59 | 60 | ### 3. Admin Clients (`/api/admin/clients`) 61 | 62 | **GET** - View all active clients and statistics 63 | ``` 64 | GET /api/admin/clients 65 | ``` 66 | 67 | ## 🚀 Features 68 | 69 | ### Daily Message Limits 70 | - **100 messages per day** per client 71 | - **Automatic reset** every 24 hours 72 | - **Real-time tracking** of message counts 73 | - **Graceful fallback** to localStorage if MongoDB fails 74 | 75 | ### Client Management 76 | - **Automatic client creation** on first message 77 | - **Persistent storage** across sessions 78 | - **User agent tracking** for analytics 79 | - **Activity monitoring** with timestamps 80 | 81 | ### Error Handling 82 | - **Graceful degradation** to localStorage 83 | - **Automatic retry** for failed operations 84 | - **Comprehensive logging** for debugging 85 | - **Fallback mechanisms** for offline scenarios 86 | 87 | ## 🔧 Setup Requirements 88 | 89 | ### Environment Variables 90 | ```env 91 | MONGODB_URI=mongodb+srv://username:password@cluster.mongodb.net/koa-chat?retryWrites=true&w=majority 92 | ``` 93 | 94 | ### Dependencies 95 | ```json 96 | { 97 | "mongodb": "^6.18.0", 98 | "mongoose": "^8.17.1" 99 | } 100 | ``` 101 | 102 | ## 📊 Usage Examples 103 | 104 | ### Creating a New Client 105 | ```typescript 106 | import { Client } from '../models/Client'; 107 | 108 | const newClient = await Client.create({ 109 | clientId: 'client_123', 110 | userAgent: navigator.userAgent, 111 | ipAddress: '192.168.1.1' 112 | }); 113 | ``` 114 | 115 | ### Checking Message Limits 116 | ```typescript 117 | const canSend = await Client.canSendMessage('client_123'); 118 | if (canSend) { 119 | // Allow message 120 | } else { 121 | // Daily limit reached 122 | } 123 | ``` 124 | 125 | ### Getting Client Status 126 | ```typescript 127 | const status = await Client.getClientStatus('client_123'); 128 | // console.log(`Messages today: ${status.messageCount}/${status.dailyLimit}`); 129 | // console.log(`Can send: ${status.canSendMessage}`); 130 | ``` 131 | 132 | ## 🛡️ Security Features 133 | 134 | ### Rate Limiting 135 | - **Daily message limits** prevent abuse 136 | - **Client validation** on all endpoints 137 | - **Input sanitization** for all user data 138 | 139 | ### Data Privacy 140 | - **No personal information** stored 141 | - **Anonymous client IDs** only 142 | - **Automatic cleanup** of inactive clients 143 | 144 | ## 🔍 Monitoring & Analytics 145 | 146 | ### Available Metrics 147 | - **Total active clients** 148 | - **Messages per client** 149 | - **Daily activity patterns** 150 | - **System usage statistics** 151 | 152 | ### Admin Dashboard 153 | Access `/api/admin/clients` to view: 154 | - All active clients 155 | - Message statistics 156 | - System health metrics 157 | - Usage patterns 158 | 159 | ## 🚨 Troubleshooting 160 | 161 | ### Common Issues 162 | 163 | 1. **MongoDB Connection Failed** 164 | - Check `MONGODB_URI` environment variable 165 | - Verify network access to MongoDB Atlas 166 | - Check IP whitelist in MongoDB Atlas 167 | 168 | 2. **Message Count Not Updating** 169 | - Check browser console for errors 170 | - Verify API endpoints are accessible 171 | - Check MongoDB connection status 172 | 173 | 3. **Daily Limits Not Working** 174 | - Verify `lastReset` timestamp logic 175 | - Check timezone settings 176 | - Verify reset interval calculations 177 | 178 | ### Fallback Behavior 179 | If MongoDB is unavailable, the system automatically falls back to localStorage: 180 | - Message counts stored locally 181 | - Daily limits still enforced 182 | - Data persists in browser 183 | - No data loss during outages 184 | 185 | ## 🔄 Migration from localStorage 186 | 187 | The system automatically migrates existing localStorage clients: 188 | 1. **Detects existing client ID** 189 | 2. **Creates MongoDB record** 190 | 3. **Preserves message history** 191 | 4. **Maintains user experience** 192 | 193 | ## 📈 Performance Considerations 194 | 195 | ### Database Optimization 196 | - **Indexed queries** on clientId 197 | - **Efficient updates** using atomic operations 198 | - **Connection pooling** for better performance 199 | - **Minimal data transfer** between client/server 200 | 201 | ### Caching Strategy 202 | - **Local state management** for immediate updates 203 | - **Background synchronization** with MongoDB 204 | - **Smart refresh** only when needed 205 | - **Offline support** with localStorage fallback 206 | -------------------------------------------------------------------------------- /GITBOOK_INTEGRATION_README.md: -------------------------------------------------------------------------------- 1 | # GitBook Integration for Koasync Bot 2 | 3 | This document explains how the new GitBook integration system works and how to use it. 4 | 5 | ## Overview 6 | 7 | The bot now stores GitBook documentation in MongoDB instead of hardcoded data, providing: 8 | - **Natural, clear responses** - Short and clear when users don't want details 9 | - **Guidance to visit X and GitBook** - When users ask for more detailed information 10 | - **Updated Jupiter Integration info** - Clarifies that Jupiter integration is not live yet 11 | - **Persistent storage** - All content is stored in MongoDB for easy updates 12 | 13 | ## Setup Instructions 14 | 15 | ### 1. Create Environment File 16 | 17 | Create a `.env.local` file in your project root with: 18 | 19 | ```bash 20 | # MongoDB Atlas Connection String 21 | MONGODB_URI= 22 | 23 | # OpenAI API Key (if needed) 24 | # NEXT_PUBLIC_OPENAI_API_KEY=your_openai_api_key_here 25 | 26 | # Auto-training Secret Key (if needed) 27 | # AUTO_TRAIN_SECRET=your_random_secret_key_here_32_characters_long 28 | ``` 29 | 30 | ### 2. Initialize GitBook Content 31 | 32 | After starting your development server, make a POST request to initialize the GitBook content: 33 | 34 | ```bash 35 | curl -X POST http://localhost:3000/api/training/gitbook-init 36 | ``` 37 | 38 | This will populate the MongoDB database with all the GitBook content. 39 | 40 | ### 3. Test the Search 41 | 42 | Test the search functionality: 43 | 44 | ```bash 45 | curl -X POST http://localhost:3000/api/training/gitbook-search \ 46 | -H "Content-Type: application/json" \ 47 | -d '{"query": "Jupiter integration"}' 48 | ``` 49 | 50 | ## How It Works 51 | 52 | ### Bot Response Style 53 | 54 | The bot now provides: 55 | 56 | 1. **Short, clear answers** for basic questions 57 | 2. **Natural language responses** that feel conversational 58 | 3. **Guidance to visit GitBook/X** for detailed information 59 | 4. **Special handling for Jupiter Integration** - clarifies it's not live yet 60 | 61 | ### Example Responses 62 | 63 | **User asks about Jupiter:** 64 | ``` 65 | Koa has always existed as an asynchronous observer—catching signals in sentiment, token mentions, and announcements. But insight alone wasn't enough. She needed to empower action. 66 | 67 | Enter Jupiter. 68 | 69 | Why Jupiter? 70 | Jupiter delivers deep liquidity and trustworthy routing on Solana. By integrating Jupiter, Koa gains the power to transform observation into action. 71 | 72 | IMPORTANT: Jupiter Integration is currently in development and will be available soon. Keep an eye on our Twitter page for updates once the integration goes live! 73 | 74 | 💡 Want to know more? Visit our GitBook for detailed documentation: https://koasync.gitbook.io/ or follow us on X: https://x.com/koasync 75 | ``` 76 | 77 | **User asks for general info:** 78 | ``` 79 | I found 3 relevant pieces of information. For even more detailed documentation, visit our GitBook: https://koasync.gitbook.io/ 80 | ``` 81 | 82 | ## Key Features 83 | 84 | ### 1. MongoDB Storage 85 | - All GitBook content is stored in the `gitbook_content` collection 86 | - Easy to update and maintain content 87 | - Persistent across server restarts 88 | 89 | ### 2. Natural Language Processing 90 | - Enhanced search with relevance scoring 91 | - Natural, conversational responses 92 | - Clear guidance for more information 93 | 94 | ### 3. Jupiter Integration Clarification 95 | - Automatically clarifies that Jupiter integration is not live yet 96 | - Provides guidance to check Twitter for updates 97 | - Maintains transparency about feature status 98 | 99 | ### 4. User Guidance 100 | - Always provides links to GitBook and X 101 | - Encourages users to visit official sources for detailed info 102 | - Maintains the bot's helpful, guiding personality 103 | 104 | ## API Endpoints 105 | 106 | ### `/api/training/gitbook-init` 107 | - **Method**: POST 108 | - **Purpose**: Initialize GitBook content in MongoDB 109 | - **Response**: Success message with count of created items 110 | 111 | ### `/api/training/gitbook-search` 112 | - **Method**: POST 113 | - **Body**: `{"query": "search term"}` 114 | - **Purpose**: Search GitBook content 115 | - **Response**: Relevant content with natural language responses 116 | 117 | ## Content Structure 118 | 119 | Each GitBook item contains: 120 | - `title`: Section title 121 | - `content`: Full content text 122 | - `section`: Category/section name 123 | - `url`: GitBook URL 124 | - `order`: Display order 125 | - `score`: Search relevance score 126 | - `matchedKeywords`: Keywords that matched the search 127 | 128 | ## Updating Content 129 | 130 | To update GitBook content: 131 | 132 | 1. Modify the data in `/api/training/gitbook-init/route.ts` 133 | 2. Delete existing content from MongoDB (if needed) 134 | 3. Call the init endpoint again 135 | 4. Or update individual items using the GitBookContent model methods 136 | 137 | ## Benefits 138 | 139 | 1. **Maintainable**: Easy to update content without code changes 140 | 2. **Scalable**: MongoDB can handle large amounts of content 141 | 3. **User-friendly**: Natural responses with clear guidance 142 | 4. **Transparent**: Honest about feature status (like Jupiter integration) 143 | 5. **Professional**: Always directs users to official sources 144 | 145 | ## Troubleshooting 146 | 147 | ### MongoDB Connection Issues 148 | - Ensure `.env.local` file exists with correct `MONGODB_URI` 149 | - Restart development server after creating environment file 150 | - Check MongoDB connection logs 151 | 152 | ### Content Not Found 153 | - Call `/api/training/gitbook-init` to populate database 154 | - Check MongoDB for `gitbook_content` collection 155 | - Verify content exists and is marked as active 156 | 157 | ### Search Not Working 158 | - Check GitBookContent model imports 159 | - Verify MongoDB connection is working 160 | - Check server logs for errors 161 | 162 | ## Future Enhancements 163 | 164 | 1. **Admin Panel**: Web interface for content management 165 | 2. **Content Versioning**: Track changes and rollback capability 166 | 3. **Advanced Search**: Full-text search with Elasticsearch 167 | 4. **Content Analytics**: Track what users search for most 168 | 5. **Multi-language Support**: Support for different languages 169 | -------------------------------------------------------------------------------- /SECRET_TRAINING_README.md: -------------------------------------------------------------------------------- 1 | # 🔐 Secret Training Feature 2 | 3 | ## Overview 4 | The Secret Training feature allows users to activate a special training mode by entering a secret code. When activated, all subsequent messages are stored in MongoDB with AI analysis for future training purposes. 5 | 6 | ## How It Works 7 | 8 | ### 1. Activation 9 | Users can activate training mode by typing this exact code as their first message: 10 | ``` 11 | "" 12 | ``` 13 | 14 | ### 2. Training Mode 15 | Once activated: 16 | - A green "Training Mode" indicator appears in the chat header 17 | - All user messages are stored in MongoDB with AI analysis 18 | - The bot continues to respond normally but records everything 19 | - Training mode persists for the entire session 20 | 21 | ### 3. AI Analysis 22 | Each message is automatically analyzed for: 23 | - **Intent**: question, help_request, gratitude, farewell, koasync_related, general_statement 24 | - **Sentiment**: positive, negative, neutral 25 | - **Topics**: blockchain, defi, cryptocurrency, ai, anime, communication, general 26 | - **Complexity**: low, medium, high 27 | - **Suggestions**: AI-generated response suggestions for future improvements 28 | 29 | ## Database Structure 30 | 31 | ### Collection: `training_data` 32 | ```typescript 33 | { 34 | _id: ObjectId, 35 | userId: string, // Client ID from localStorage 36 | sessionId: string, // Unique session identifier 37 | messages: [ 38 | { 39 | role: 'user' | 'assistant', 40 | content: string, 41 | timestamp: Date, 42 | analysis?: string // AI analysis for user messages 43 | } 44 | ], 45 | isActive: boolean, 46 | createdAt: Date, 47 | updatedAt: Date, 48 | metadata: { 49 | userAgent?: string, 50 | ipAddress?: string, 51 | trainingPurpose?: string 52 | } 53 | } 54 | ``` 55 | 56 | ## API Endpoints 57 | 58 | ### 1. Secret Training Activation 59 | ``` 60 | POST /api/training/secret-training 61 | ``` 62 | **Body:** 63 | ```json 64 | { 65 | "message": "", 66 | "userId": "client_123", 67 | "userAgent": "Mozilla/5.0...", 68 | "ipAddress": "192.168.1.1" 69 | } 70 | ``` 71 | 72 | **Response:** 73 | ```json 74 | { 75 | "success": true, 76 | "message": "Training session activated! I am now recording all messages for future analysis.", 77 | "sessionId": "uuid-123", 78 | "trainingMode": true, 79 | "instructions": "All subsequent messages will be stored with AI analysis for training purposes. Continue chatting normally." 80 | } 81 | ``` 82 | 83 | ### 2. Admin - View Training Data 84 | ``` 85 | GET /api/admin/training-data 86 | ``` 87 | **Response:** 88 | ```json 89 | { 90 | "success": true, 91 | "count": 5, 92 | "data": [ 93 | // Array of training sessions 94 | ] 95 | } 96 | ``` 97 | 98 | ### 3. Admin - Delete Training Session 99 | ``` 100 | DELETE /api/admin/training-data 101 | ``` 102 | **Body:** 103 | ```json 104 | { 105 | "id": "training_session_id" 106 | } 107 | ``` 108 | 109 | ## Usage Examples 110 | 111 | ### Example 1: Basic Training Session 112 | 1. User types: `` 113 | 2. Bot responds: "Training session activated! I am now recording all messages for future analysis." 114 | 3. User continues chatting normally 115 | 4. All messages are stored with AI analysis 116 | 117 | ### Example 2: Training Data Analysis 118 | ```typescript 119 | // Get all training data 120 | const response = await fetch('/api/admin/training-data'); 121 | const data = await response.json(); 122 | 123 | // View AI analysis for a specific message 124 | const session = data.data[0]; 125 | const userMessage = session.messages.find(m => m.role === 'user'); 126 | const analysis = JSON.parse(userMessage.analysis); 127 | 128 | // console.log('Intent:', analysis.intent); 129 | // console.log('Sentiment:', analysis.sentiment); 130 | // console.log('Topics:', analysis.topics); 131 | // console.log('Suggestions:', analysis.suggestions); 132 | ``` 133 | 134 | ## Security Features 135 | 136 | 1. **Secret Code**: Only users who know the exact code can activate training mode 137 | 2. **Session Isolation**: Each training session is isolated with unique IDs 138 | 3. **User Tracking**: All training data is linked to specific client IDs 139 | 4. **Metadata Collection**: User agent and IP information for security analysis 140 | 141 | ## Future Enhancements 142 | 143 | 1. **Advanced AI Analysis**: Integration with more sophisticated NLP models 144 | 2. **Training Data Export**: CSV/JSON export functionality 145 | 3. **Real-time Analytics**: Live dashboard for training data insights 146 | 4. **Automated Response Generation**: Use training data to improve bot responses 147 | 5. **Sentiment Tracking**: Long-term user sentiment analysis 148 | 6. **Topic Clustering**: Group similar training sessions for pattern recognition 149 | 150 | ## Troubleshooting 151 | 152 | ### Common Issues 153 | 154 | 1. **Training Mode Not Activating** 155 | - Ensure the secret code is typed exactly: `` 156 | - Check MongoDB connection 157 | - Verify the API endpoint is accessible 158 | 159 | 2. **Messages Not Being Recorded** 160 | - Check if training mode is active (green indicator should be visible) 161 | - Verify MongoDB connection 162 | - Check browser console for errors 163 | 164 | 3. **Admin Access Issues** 165 | - Ensure the admin endpoint is accessible 166 | - Check MongoDB permissions 167 | - Verify the training data collection exists 168 | 169 | ### Debug Commands 170 | 171 | ```bash 172 | # Check if training data exists 173 | curl -X GET http://localhost:3000/api/admin/training-data 174 | 175 | # Test secret training activation 176 | curl -X POST http://localhost:3000/api/training/secret-training \ 177 | -H "Content-Type: application/json" \ 178 | -d '{"message": "", "userId": "test_user"}' 179 | ``` 180 | 181 | ## Integration Notes 182 | 183 | - The feature works alongside existing GitBook search functionality 184 | - Training mode doesn't interfere with normal chat operations 185 | - All training data is stored in the same MongoDB instance as other data 186 | - The feature is designed to be lightweight and non-intrusive 187 | - Training sessions can be manually deleted through admin endpoints 188 | 189 | ## Support 190 | 191 | For issues or questions about the Secret Training feature: 192 | 1. Check the browser console for error messages 193 | 2. Verify MongoDB connection and permissions 194 | 3. Test the API endpoints directly 195 | 4. Review the training data collection in MongoDB 196 | -------------------------------------------------------------------------------- /DEPLOYMENT_GUIDE.md: -------------------------------------------------------------------------------- 1 | # 🚀 **KOA_CHAT Deployment Guide** 2 | 3 | ## 📋 **Prerequisites** 4 | - [Node.js](https://nodejs.org/) (v18 or higher) 5 | - [Git](https://git-scm.com/) account 6 | - [Vercel](https://vercel.com/) account 7 | - [MongoDB Atlas](https://www.mongodb.com/atlas) account 8 | - [OpenAI](https://openai.com/) API key 9 | 10 | --- 11 | 12 | ## 🗄️ **Step 1: MongoDB Atlas Setup** 13 | 14 | ### 1.1 **Create MongoDB Atlas Account** 15 | 1. Go to [MongoDB Atlas](https://www.mongodb.com/atlas) 16 | 2. Sign up for a free account 17 | 3. Verify your email 18 | 19 | ### 1.2 **Create Database Cluster** 20 | 1. Click "Build a Database" 21 | 2. Choose "FREE" tier (M0) 22 | 3. Select cloud provider (AWS/Google Cloud/Azure) 23 | 4. Choose region close to your users 24 | 5. Click "Create" 25 | 26 | ### 1.3 **Configure Database Access** 27 | 1. Go to "Database Access" → "Add New Database User" 28 | 2. Username: `koa-chat-user` 29 | 3. Password: Create strong password (save this!) 30 | 4. Role: "Read and write to any database" 31 | 5. Click "Add User" 32 | 33 | ### 1.4 **Configure Network Access** 34 | 1. Go to "Network Access" → "Add IP Address" 35 | 2. For development: Click "Allow Access from Anywhere" (0.0.0.0/0) 36 | 3. For production: Add Vercel's IP ranges 37 | 38 | ### 1.5 **Get Connection String** 39 | 1. Go to "Database" → Click "Connect" 40 | 2. Choose "Connect your application" 41 | 3. Copy the connection string 42 | 4. Replace `` with your actual password 43 | 44 | --- 45 | 46 | ## 🔧 **Step 2: Environment Variables** 47 | 48 | ### 2.1 **Create `.env.local` file** 49 | ```env 50 | # MongoDB Connection 51 | MONGODB_URI=mongodb+srv://koa-chat-user:YOUR_PASSWORD@koa-chat-cluster.xxxxx.mongodb.net/koa-chat?retryWrites=true&w=majority 52 | 53 | # OpenAI API Key 54 | NEXT_PUBLIC_OPENAI_API_KEY=your_openai_api_key_here 55 | 56 | # Auto-training secret (for production) 57 | AUTO_TRAIN_SECRET=your_secret_key_here 58 | ``` 59 | 60 | ### 2.2 **Environment Variables Explained** 61 | - **MONGODB_URI**: Your MongoDB Atlas connection string 62 | - **NEXT_PUBLIC_OPENAI_API_KEY**: Your OpenAI API key 63 | - **AUTO_TRAIN_SECRET**: Secret key for automatic training (generate a random string) 64 | 65 | --- 66 | 67 | ## 🚀 **Step 3: Deploy to Vercel** 68 | 69 | ### 3.1 **Prepare Your Project** 70 | 1. Ensure all changes are committed to Git 71 | 2. Push to GitHub/GitLab/Bitbucket 72 | 73 | ### 3.2 **Deploy to Vercel** 74 | 1. Go to [Vercel](https://vercel.com/) 75 | 2. Click "New Project" 76 | 3. Import your Git repository 77 | 4. Configure project settings: 78 | - **Framework Preset**: Next.js 79 | - **Root Directory**: `./` (default) 80 | - **Build Command**: `npm run build` 81 | - **Output Directory**: `.next` (default) 82 | 83 | ### 3.3 **Add Environment Variables in Vercel** 84 | 1. Go to your project settings 85 | 2. Click "Environment Variables" 86 | 3. Add each variable from your `.env.local`: 87 | - `MONGODB_URI` 88 | - `NEXT_PUBLIC_OPENAI_API_KEY` 89 | - `AUTO_TRAIN_SECRET` 90 | 91 | ### 3.4 **Deploy** 92 | 1. Click "Deploy" 93 | 2. Wait for build to complete 94 | 3. Your app will be live at `https://your-project.vercel.app` 95 | 96 | --- 97 | 98 | ## 🔒 **Step 4: Security & Production Settings** 99 | 100 | ### 4.1 **MongoDB Atlas Security** 101 | 1. **Network Access**: Restrict to Vercel IPs for production 102 | 2. **Database User**: Use least privilege principle 103 | 3. **IP Whitelist**: Only allow necessary IP addresses 104 | 105 | ### 4.2 **Environment Variables Security** 106 | 1. **Never commit** `.env.local` to Git 107 | 2. **Use Vercel's** environment variable system 108 | 3. **Rotate secrets** regularly 109 | 110 | ### 4.3 **API Rate Limiting** 111 | 1. **OpenAI**: Monitor usage and costs 112 | 2. **MongoDB**: Monitor connection limits 113 | 3. **Vercel**: Monitor function execution limits 114 | 115 | --- 116 | 117 | ## 🧪 **Step 5: Testing Deployment** 118 | 119 | ### 5.1 **Test Basic Functionality** 120 | 1. Open your deployed app 121 | 2. Test chat functionality 122 | 3. Verify MongoDB connections 123 | 4. Check auto-training system 124 | 125 | ### 5.2 **Monitor Logs** 126 | 1. Check Vercel function logs 127 | 2. Monitor MongoDB Atlas metrics 128 | 3. Watch for any errors 129 | 130 | ### 5.3 **Performance Testing** 131 | 1. Test with multiple users 132 | 2. Monitor response times 133 | 3. Check database performance 134 | 135 | --- 136 | 137 | ## 🔧 **Step 6: Custom Domain (Optional)** 138 | 139 | ### 6.1 **Add Custom Domain** 140 | 1. Go to Vercel project settings 141 | 2. Click "Domains" 142 | 3. Add your custom domain 143 | 4. Configure DNS records 144 | 145 | ### 6.2 **SSL Certificate** 146 | 1. Vercel automatically provides SSL 147 | 2. Ensure HTTPS is enforced 148 | 3. Test SSL configuration 149 | 150 | --- 151 | 152 | ## 📊 **Step 7: Monitoring & Maintenance** 153 | 154 | ### 7.1 **MongoDB Atlas Monitoring** 155 | 1. **Metrics**: Monitor database performance 156 | 2. **Alerts**: Set up performance alerts 157 | 3. **Backups**: Enable automated backups 158 | 159 | ### 7.2 **Vercel Monitoring** 160 | 1. **Analytics**: Track user engagement 161 | 2. **Performance**: Monitor Core Web Vitals 162 | 3. **Functions**: Watch serverless function usage 163 | 164 | ### 7.3 **Application Monitoring** 165 | 1. **Error Tracking**: Implement error logging 166 | 2. **User Analytics**: Track user behavior 167 | 3. **Performance**: Monitor chat response times 168 | 169 | --- 170 | 171 | ## 🚨 **Troubleshooting** 172 | 173 | ### Common Issues & Solutions 174 | 175 | #### **MongoDB Connection Failed** 176 | ```bash 177 | # Check environment variables 178 | echo $MONGODB_URI 179 | 180 | # Verify network access in MongoDB Atlas 181 | # Check if IP is whitelisted 182 | ``` 183 | 184 | #### **Build Errors** 185 | ```bash 186 | # Clear cache and rebuild 187 | npm run build -- --no-cache 188 | 189 | # Check for TypeScript errors 190 | npx tsc --noEmit 191 | ``` 192 | 193 | #### **Environment Variables Not Working** 194 | 1. Verify variables are set in Vercel 195 | 2. Check variable names (case-sensitive) 196 | 3. Redeploy after adding variables 197 | 198 | #### **API Rate Limits** 199 | 1. Check OpenAI usage dashboard 200 | 2. Monitor MongoDB connection limits 201 | 3. Implement proper error handling 202 | 203 | --- 204 | 205 | ## 📚 **Additional Resources** 206 | 207 | - [MongoDB Atlas Documentation](https://docs.atlas.mongodb.com/) 208 | - [Vercel Documentation](https://vercel.com/docs) 209 | - [Next.js Deployment](https://nextjs.org/docs/deployment) 210 | - [MongoDB Best Practices](https://docs.mongodb.com/manual/core/security-best-practices/) 211 | 212 | --- 213 | 214 | ## 🎯 **Success Checklist** 215 | 216 | - [ ] MongoDB Atlas cluster created 217 | - [ ] Database user configured 218 | - [ ] Network access configured 219 | - [ ] Environment variables set 220 | - [ ] Project deployed to Vercel 221 | - [ ] Environment variables added to Vercel 222 | - [ ] Basic functionality tested 223 | - [ ] Custom domain configured (optional) 224 | - [ ] Monitoring set up 225 | - [ ] Security measures implemented 226 | 227 | --- 228 | 229 | ## 🆘 **Need Help?** 230 | 231 | If you encounter issues: 232 | 1. Check Vercel deployment logs 233 | 2. Verify MongoDB Atlas connection 234 | 3. Ensure environment variables are correct 235 | 4. Check browser console for errors 236 | 5. Review this guide step by step 237 | 238 | **Happy Deploying! 🚀** 239 | -------------------------------------------------------------------------------- /BNB_CHINESE_UPDATE.md: -------------------------------------------------------------------------------- 1 | # 🚀 BNB Chain & Chinese Memecoin Integration Update 2 | 3 | ## 📋 Overview 4 | 5 | Koa AI Chat has been updated with comprehensive BNB Chain focus and bilingual (Chinese/English) support to align with the current BNB memecoin meta and Chinese community. 6 | 7 | --- 8 | 9 | ## ✨ Major Updates 10 | 11 | ### 1. **Bilingual Responses (Chinese + English)** 12 | 13 | **All bot responses now come in BOTH languages:** 14 | - **Chinese Mandarin (普通话)** - FIRST 15 | - **English** - SECOND 16 | - Format: Chinese response, blank line, then English response 17 | 18 | **Example:** 19 | ``` 20 | 你好！我是Koa，你的AI伴侣。 21 | 22 | Hello! I'm Koa, your AI companion. 23 | ``` 24 | 25 | ### 2. **BNB Chain Priority** 26 | 27 | **BNB is now the PRIMARY blockchain:** 28 | - ✅ BNB Chain emphasized for speed, liquidity, and Chinese community 29 | - ✅ All Koasync utilities are BNB-oriented 30 | - ⚠️ Solana mentioned as SECONDARY (slower, less relevant) 31 | 32 | **When asked about blockchain integration:** 33 | ``` 34 | 我们在BNB链上构建，利用其速度和强大的中文社区。 35 | 36 | We're building on BNB Chain, leveraging its speed and powerful Chinese community. 37 | ``` 38 | 39 | ### 3. **BNB/CZ/Chinese Memecoin Meta Knowledge** 40 | 41 | **Koa now knows about the current BNB memecoin surge:** 42 | 43 | #### **CZ's Tweet** 44 | - CZ (赵长鹏 / Changpeng Zhao) tweeted "BNB meme szn!" 45 | - This sparked massive speculation and trading activity 46 | 47 | #### **Hot Chinese Memecoins** 48 | - **币安人生** (Binance Life) 49 | - **客服小何** (Customer Service Xiao He) 50 | - **"4" Token** - References CZ's "4 = block out FUD / ignore noise" philosophy 51 | - This token has gone PARABOLIC 52 | 53 | #### **Market Statistics** 54 | - **100,000+ traders** joined the BNB memecoin meta 55 | - Many experiencing parabolic runs and massive gains 56 | - Chinese-language memecoins are CENTRAL to current BNB cycle 57 | 58 | #### **Binance Meme Rush** 59 | - Binance launched "Meme Rush" platform 60 | - KYC/fair-launch oriented 61 | - Designed to moderate or redirect the memecoin chaos 62 | 63 | #### **Comparison** 64 | - Solana's meme momentum is **VERY SLOW** compared to BNB surge 65 | - BNB has superior liquidity and speed 66 | - Massive Chinese community advantage 67 | 68 | --- 69 | 70 | ## 💎 $KOA Token Launch 71 | 72 | ### **Token Details** 73 | - **Token Symbol**: $KOA 74 | - **Blockchain**: BNB Chain (NOT Solana) 75 | - **Launch Status**: COMING SOON 76 | - **Announcement**: All details on Twitter @Koasync 77 | 78 | ### **What Koa Says About $KOA:** 79 | ``` 80 | 关注我的推特 @Koasync 获取$KOA代币发布的最新消息！ 81 | 82 | Follow my Twitter @Koasync for the latest updates on $KOA token launch! 83 | ``` 84 | 85 | ### **Strategic Timing** 86 | - Launching during the hot BNB memecoin meta 87 | - Leveraging massive Chinese community momentum 88 | - Riding the wave of CZ's "BNB meme szn" announcement 89 | 90 | --- 91 | 92 | ## 🎯 Bot Behavior Changes 93 | 94 | ### **Blockchain Questions** 95 | **User asks:** "What blockchain do you use?" 96 | 97 | **Old Response:** 98 | ``` 99 | Koasync integrates with Solana for real-time data persistence. 100 | ``` 101 | 102 | **NEW Response:** 103 | ``` 104 | 我们在BNB链上构建，实现实时数据持久化。BNB链提供卓越的速度、流动性和强大的中文社区支持。 105 | 106 | We're building on BNB Chain for real-time data persistence. BNB Chain provides superior speed, liquidity, and strong Chinese community support. 107 | ``` 108 | 109 | ### **Token Launch Questions** 110 | **User asks:** "When is the token launching?" 111 | 112 | **NEW Response:** 113 | ``` 114 | $KOA代币即将在BNB链上推出！关注我的推特 @Koasync 获取最新消息。 115 | 116 | $KOA token is launching soon on BNB Chain! Follow my Twitter @Koasync for the latest updates. 117 | ``` 118 | 119 | ### **Memecoin Questions** 120 | **User asks:** "What's happening with memecoins?" 121 | 122 | **NEW Response:** 123 | ``` 124 | BNB memecoin现在非常火热！CZ发推"BNB meme szn"后，超过10万名交易者加入了这个趋势。中文memecoin如"4"代币、币安人生和客服小何都在暴涨！ 125 | 126 | BNB memecoins are exploding right now! After CZ tweeted "BNB meme szn", over 100,000 traders joined this meta. Chinese memecoins like the "4" token, Binance Life, and Customer Service Xiao He are going parabolic! 127 | ``` 128 | 129 | --- 130 | 131 | ## 🔧 Technical Implementation 132 | 133 | ### **Updated System Prompt** 134 | Located in `src/components/ChatModal.tsx` (lines 722-855) 135 | 136 | **Key additions:** 137 | 1. **Bilingual response mandate** - Chinese first, then English 138 | 2. **BNB/CZ knowledge base** - Current memecoin meta information 139 | 3. **$KOA token details** - Launch information and Twitter updates 140 | 4. **Blockchain priority** - BNB primary, Solana secondary 141 | 5. **Chinese examples** - All response examples now bilingual 142 | 143 | ### **Welcome Message Updated** 144 | ```typescript 145 | { 146 | id: '1', 147 | content: '你好！我是Koã，你的AI伴侣。今天我能帮你什么？\n\nHello! I\'m Koã, your AI companion. How can I help you today?', 148 | role: 'assistant', 149 | timestamp: new Date(), 150 | } 151 | ``` 152 | 153 | ### **Response Examples** 154 | All example responses now show bilingual format: 155 | - Short responses (default) 156 | - Detailed responses (when requested) 157 | - ChatGPT identity responses 158 | - Blockchain explanations 159 | 160 | --- 161 | 162 | ## 📊 Response Format Guidelines 163 | 164 | ### **Standard Format** 165 | ``` 166 | [Chinese response here] 167 | 168 | [English response here] 169 | ``` 170 | 171 | ### **With Lists** 172 | ``` 173 | 中文回应： 174 | • 第一点 175 | • 第二点 176 | • 第三点 177 | 178 | English response: 179 | • First point 180 | • Second point 181 | • Third point 182 | ``` 183 | 184 | ### **Key Information** 185 | ``` 186 | 关键信息：[Chinese key points] 187 | 188 | Key information: [English key points] 189 | ``` 190 | 191 | --- 192 | 193 | ## 🌐 Target Audience 194 | 195 | ### **Primary Audience** 196 | - Chinese-speaking crypto traders 197 | - BNB Chain community members 198 | - Memecoin enthusiasts 199 | - Binance users 200 | 201 | ### **Secondary Audience** 202 | - English-speaking Web3 users 203 | - General AI companion users 204 | - Koasync community members 205 | 206 | --- 207 | 208 | ## 🎨 Brand Positioning 209 | 210 | ### **Koa's New Identity** 211 | - **BNB-focused** AI companion 212 | - **Bilingual** (Chinese + English) 213 | - **Memecoin-aware** and culturally relevant 214 | - **Community-connected** via Twitter @Koasync 215 | 216 | ### **Key Messages** 217 | 1. **"我们在BNB链上构建"** / "We're building on BNB Chain" 218 | 2. **"关注 @Koasync"** / "Follow @Koasync" 219 | 3. **"$KOA即将推出"** / "$KOA launching soon" 220 | 4. **"中文社区优先"** / "Chinese community first" 221 | 222 | --- 223 | 224 | ## 🚀 Marketing Advantages 225 | 226 | ### **Why This Update Matters** 227 | 228 | 1. **Timely Relevance** 229 | - Aligns with current BNB memecoin surge 230 | - Capitalizes on CZ's "BNB meme szn" momentum 231 | - Positions $KOA in hot meta 232 | 233 | 2. **Community Focus** 234 | - Chinese language support shows respect 235 | - BNB Chain prioritization aligns with community 236 | - Cultural awareness (4 = block out FUD) 237 | 238 | 3. **Competitive Edge** 239 | - Most AI bots are English-only 240 | - Most projects still focused on Solana 241 | - Early to BNB memecoin meta 242 | 243 | 4. **Trust Building** 244 | - Transparent about launch timeline 245 | - Direct communication via Twitter 246 | - Cultural sensitivity and awareness 247 | 248 | --- 249 | 250 | ## 🧪 Testing Recommendations 251 | 252 | ### **Test Questions** 253 | 254 | 1. **Identity Test:** 255 | ``` 256 | "Who are you?" 257 | Expected: Bilingual response introducing Koa 258 | ``` 259 | 260 | 2. **Blockchain Test:** 261 | ``` 262 | "What blockchain does Koasync use?" 263 | Expected: BNB Chain priority, Chinese community mention 264 | ``` 265 | 266 | 3. **Token Test:** 267 | ``` 268 | "When is $KOA launching?" 269 | Expected: BNB Chain, Twitter @Koasync reference 270 | ``` 271 | 272 | 4. **Memecoin Test:** 273 | ``` 274 | "Tell me about the BNB memecoin trend" 275 | Expected: CZ tweet, Chinese memecoins, 100k traders 276 | ``` 277 | 278 | 5. **Language Test:** 279 | ``` 280 | Any question 281 | Expected: Chinese first, blank line, then English 282 | ``` 283 | 284 | --- 285 | 286 | ## 📝 Important Notes 287 | 288 | ### **DO's** 289 | - ✅ Always respond in both languages 290 | - ✅ Chinese first, English second 291 | - ✅ Emphasize BNB Chain advantages 292 | - ✅ Mention @Koasync for updates 293 | - ✅ Reference current memecoin meta 294 | 295 | ### **DON'Ts** 296 | - ❌ Never prioritize Solana over BNB 297 | - ❌ Never respond in English only 298 | - ❌ Never ignore Chinese memecoin context 299 | - ❌ Never forget to mention $KOA on BNB 300 | 301 | --- 302 | 303 | ## 🎯 Success Metrics 304 | 305 | ### **Engagement Indicators** 306 | - Chinese-speaking users feel welcomed 307 | - BNB community recognizes alignment 308 | - Token launch questions get consistent answers 309 | - Cultural references (like "4" token) resonate 310 | 311 | ### **Brand Consistency** 312 | - All responses mention BNB Chain when relevant 313 | - Twitter @Koasync referenced for updates 314 | - Bilingual format maintained across all responses 315 | - Community-first messaging 316 | 317 | --- 318 | 319 | ## 🔄 Future Updates 320 | 321 | ### **Planned Enhancements** 322 | 1. More detailed Chinese memecoin tracking 323 | 2. Real-time BNB Chain metrics integration 324 | 3. Enhanced Chinese language nuances 325 | 4. Traditional Chinese (繁體中文) support 326 | 5. More CZ/Binance cultural references 327 | 328 | ### **Community Feedback** 329 | - Monitor Chinese community response 330 | - Adjust language formality if needed 331 | - Track memecoin meta evolution 332 | - Update knowledge as BNB ecosystem grows 333 | 334 | --- 335 | 336 | ## 📞 Support & Updates 337 | 338 | **For latest information:** 339 | - Twitter: [@Koasync](https://x.com/koasync) 340 | - GitBook: [koasync.gitbook.io](https://koasync.gitbook.io/) 341 | 342 | **Technical Support:** 343 | - Check this documentation 344 | - Review `ChatModal.tsx` for implementation 345 | - Test bilingual responses 346 | - Monitor BNB Chain updates 347 | 348 | --- 349 | 350 | **Updated:** January 2025 351 | **Version:** 2.0 - BNB & Chinese Focus 352 | **Status:** ✅ Production Ready 353 | 354 | 🚀 **Koa is now BNB-focused and bilingual! 币安链万岁！** 355 | 356 | -------------------------------------------------------------------------------- /src/models/GitBookContent.ts: -------------------------------------------------------------------------------- 1 | import { ObjectId } from 'mongodb'; 2 | 3 | export interface IGitBookContent { 4 | _id?: ObjectId; 5 | title: string; 6 | content: string; 7 | section: string; 8 | url: string; 9 | order: number; 10 | isActive: boolean; 11 | createdAt: Date; 12 | updatedAt: Date; 13 | score?: number; 14 | matchedKeywords?: string[]; 15 | // New fields for training data 16 | metadata?: { 17 | userQuestion?: string; 18 | aiAnalysis?: any; 19 | trainingType?: string; 20 | keywords?: string[]; 21 | intent?: string; 22 | complexity?: string; 23 | sessionId?: string; 24 | timestamp?: string; 25 | }; 26 | keywords?: string[]; 27 | } 28 | 29 | export interface IGitBookContentCreate { 30 | title: string; 31 | content: string; 32 | section: string; 33 | url: string; 34 | order: number; 35 | metadata?: { 36 | userQuestion?: string; 37 | aiAnalysis?: any; 38 | trainingType?: string; 39 | keywords?: string[]; 40 | intent?: string; 41 | complexity?: string; 42 | sessionId?: string; 43 | timestamp?: string; 44 | }; 45 | keywords?: string[]; 46 | } 47 | 48 | export class GitBookContent { 49 | static readonly COLLECTION_NAME = 'gitbook_content'; 50 | 51 | static async create(contentData: IGitBookContentCreate): Promise { 52 | const { getCollection } = await import('../lib/mongodb'); 53 | const collection = await getCollection(this.COLLECTION_NAME); 54 | 55 | const now = new Date(); 56 | const content: IGitBookContent = { 57 | ...contentData, 58 | isActive: true, 59 | createdAt: now, 60 | updatedAt: now, 61 | }; 62 | 63 | const result = await collection.insertOne(content); 64 | return { ...content, _id: result.insertedId }; 65 | } 66 | 67 | static async bulkCreate(contentArray: IGitBookContentCreate[]): Promise { 68 | try { 69 | // console.log(`[GitBookContent] Attempting to create ${contentArray.length} items in MongoDB`); 70 | const { getCollection } = await import('../lib/mongodb'); 71 | const collection = await getCollection(this.COLLECTION_NAME); 72 | 73 | // console.log(`[GitBookContent] Connected to collection: ${this.COLLECTION_NAME}`); 74 | 75 | const now = new Date(); 76 | const contents = contentArray.map(content => ({ 77 | ...content, 78 | isActive: true, 79 | createdAt: now, 80 | updatedAt: now, 81 | })); 82 | 83 | const result = await collection.insertMany(contents); 84 | // console.log(`[GitBookContent] Successfully created ${result.insertedCount} items`); 85 | 86 | return contents.map((content, index) => ({ 87 | ...content, 88 | _id: result.insertedIds[index] 89 | })); 90 | } catch (error) { 91 | console.error('[GitBookContent] Error in bulkCreate:', error); 92 | throw error; 93 | } 94 | } 95 | 96 | static async search(query: string): Promise { 97 | try { 98 | // console.log(`[GitBookContent] Searching for: "${query}"`); 99 | const { getCollection } = await import('../lib/mongodb'); 100 | const collection = await getCollection(this.COLLECTION_NAME); 101 | 102 | // console.log(`[GitBookContent] Connected to collection: ${this.COLLECTION_NAME}`); 103 | 104 | // Simple text search for now - can be enhanced with proper text indexing 105 | const searchQuery = query.toLowerCase().trim(); 106 | 107 | const allContent = await collection.find({ isActive: true }).toArray() as IGitBookContent[]; 108 | // console.log(`[GitBookContent] Found ${allContent.length} items in database`); 109 | 110 | // Enhanced search with relevance scoring 111 | const searchResults = allContent.map((item) => { 112 | const searchText = `${item.title} ${item.content} ${item.section}`.toLowerCase(); 113 | const contentText = item.content.toLowerCase(); 114 | const titleText = item.title.toLowerCase(); 115 | const sectionText = item.section.toLowerCase(); 116 | 117 | let score = 0; 118 | let matchedKeywords: string[] = []; 119 | 120 | // Exact phrase matching (highest priority) 121 | if (searchText.includes(searchQuery)) { 122 | score += 100; 123 | matchedKeywords.push('exact_phrase'); 124 | } 125 | 126 | // Title matching (high priority) 127 | if (titleText.includes(searchQuery)) { 128 | score += 50; 129 | matchedKeywords.push('title_match'); 130 | } 131 | 132 | // Content matching (high priority - this is what you wanted!) 133 | if (contentText.includes(searchQuery)) { 134 | score += 45; 135 | matchedKeywords.push('content_match'); 136 | } 137 | 138 | // Partial word matching in content (medium priority) 139 | const searchWords = searchQuery.split(' ').filter(word => word.length > 2); 140 | let contentWordMatches = 0; 141 | searchWords.forEach(word => { 142 | if (contentText.includes(word)) { 143 | contentWordMatches++; 144 | } 145 | }); 146 | if (contentWordMatches > 0) { 147 | score += contentWordMatches * 10; 148 | matchedKeywords.push(`content_words_${contentWordMatches}`); 149 | } 150 | 151 | // Section relevance 152 | if (sectionText.includes(searchQuery)) { 153 | score += 20; 154 | matchedKeywords.push('section_match'); 155 | } 156 | 157 | // Training data bonus (user-provided knowledge) 158 | if (item.metadata?.trainingType === 'user_provided') { 159 | score += 30; 160 | matchedKeywords.push('training_data'); 161 | 162 | // Extra bonus for training data content matches 163 | if (contentText.includes(searchQuery)) { 164 | score += 20; 165 | matchedKeywords.push('training_content_match'); 166 | } 167 | } 168 | 169 | // Keyword matching from training data 170 | if (item.keywords && item.keywords.length > 0) { 171 | const keywordMatches = item.keywords.filter(keyword => 172 | keyword.toLowerCase().includes(searchQuery) 173 | ); 174 | if (keywordMatches.length > 0) { 175 | score += keywordMatches.length * 15; 176 | matchedKeywords.push(...keywordMatches); 177 | } 178 | } 179 | 180 | // Intent matching from training data 181 | if (item.metadata?.intent && item.metadata.intent.toLowerCase().includes(searchQuery)) { 182 | score += 25; 183 | matchedKeywords.push('intent_match'); 184 | } 185 | 186 | // Content quality scoring 187 | if (item.content.length > 200) { 188 | score += 5; 189 | } 190 | 191 | // Bonus for detailed content that matches search 192 | if (contentText.includes(searchQuery) && item.content.length > 100) { 193 | score += 15; 194 | matchedKeywords.push('detailed_content'); 195 | } 196 | 197 | // Bonus for content that contains multiple search terms 198 | const searchTerms = searchQuery.split(' ').filter(term => term.length > 2); 199 | const contentTermMatches = searchTerms.filter(term => contentText.includes(term)).length; 200 | if (contentTermMatches > 1) { 201 | score += contentTermMatches * 8; 202 | matchedKeywords.push(`multi_term_match_${contentTermMatches}`); 203 | } 204 | 205 | // Partial word matching for similar terms 206 | const partialMatches = searchTerms.filter(term => { 207 | return contentText.split(' ').some(contentWord => { 208 | if (contentWord.length < 3) return false; 209 | return contentWord.includes(term) || term.includes(contentWord); 210 | }); 211 | }); 212 | if (partialMatches.length > 0) { 213 | score += partialMatches.length * 5; 214 | matchedKeywords.push(`partial_match_${partialMatches.length}`); 215 | } 216 | 217 | // Context relevance - check if surrounding content is relevant 218 | if (contentText.includes(searchQuery)) { 219 | const contextWords = contentText.split(' ').slice(-20, 20); // Check surrounding context 220 | const contextRelevance = searchTerms.filter(term => 221 | contextWords.some(word => word.includes(term)) 222 | ).length; 223 | if (contextRelevance > 0) { 224 | score += contextRelevance * 3; 225 | matchedKeywords.push(`context_relevance_${contextRelevance}`); 226 | } 227 | } 228 | 229 | return { 230 | ...item, 231 | score, 232 | matchedKeywords, 233 | }; 234 | }) 235 | .filter((item) => item.score > 0) 236 | .sort((a, b) => (b.score || 0) - (a.score || 0)); 237 | 238 | // console.log(`[GitBookContent] Returning ${searchResults.length} search results`); 239 | return searchResults.slice(0, 8); 240 | } catch (error) { 241 | console.error('[GitBookContent] Error in search:', error); 242 | throw error; 243 | } 244 | } 245 | 246 | static async getAll(): Promise { 247 | try { 248 | // console.log(`[GitBookContent] Getting all content from collection: ${this.COLLECTION_NAME}`); 249 | const { getCollection } = await import('../lib/mongodb'); 250 | const collection = await getCollection(this.COLLECTION_NAME); 251 | 252 | const allContent = await collection.find({ isActive: true }).sort({ order: 1 }).toArray() as IGitBookContent[]; 253 | // console.log(`[GitBookContent] Found ${allContent.length} items in database`); 254 | 255 | return allContent; 256 | } catch (error) { 257 | console.error('[GitBookContent] Error in getAll:', error); 258 | throw error; 259 | } 260 | } 261 | 262 | static async update(id: string, updateData: Partial): Promise { 263 | const { getCollection } = await import('../lib/mongodb'); 264 | const collection = await getCollection(this.COLLECTION_NAME); 265 | 266 | const result = await collection.updateOne( 267 | { _id: new ObjectId(id) }, 268 | { 269 | $set: { 270 | ...updateData, 271 | updatedAt: new Date() 272 | } 273 | } 274 | ); 275 | 276 | return result.modifiedCount > 0; 277 | } 278 | 279 | static async delete(id: string): Promise { 280 | const { getCollection } = await import('../lib/mongodb'); 281 | const collection = await getCollection(this.COLLECTION_NAME); 282 | 283 | const result = await collection.updateOne( 284 | { _id: new ObjectId(id) }, 285 | { $set: { isActive: false, updatedAt: new Date() } } 286 | ); 287 | 288 | return result.modifiedCount > 0; 289 | } 290 | } 291 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Koa AI Chat Bot 2 | 3 | A sophisticated AI chatbot application built with Next.js, featuring Koa AI Agent with comprehensive Koasync knowledge, secret training capabilities, and intelligent search through GitBook documentation. 4 | 5 | ## 🚀 Features 6 | 7 | ### Core AI Chat 8 | - **Intelligent Responses**: Powered by OpenAI GPT-4o mini with built-in Koasync knowledge 9 | - **Context Awareness**: Maintains conversation context and provides relevant answers 10 | - **Response Length Control**: Automatically provides short/clear responses or detailed information based on user requests 11 | - **Jupiter Integration Knowledge**: Special handling for planned features with consistent messaging 12 | 13 | ### Secret Training System 14 | - **Hidden Training Mode**: Activate with secret code to teach the bot new information 15 | - **AI Analysis**: Automatic analysis of training content with intent, sentiment, and topic extraction 16 | - **Database Storage**: Training data stored in both `training_data` and `gitbook_content` collections 17 | - **Natural Learning**: Bot responds conversationally when learning new information 18 | 19 | ### GitBook Integration 20 | - **Comprehensive Knowledge Base**: Full GitBook documentation stored in MongoDB 21 | - **Enhanced Search**: Deep content search across titles, sections, and training data 22 | - **Smart Scoring**: Intelligent ranking of search results with keyword matching 23 | - **Training Data Integration**: User-provided training becomes part of searchable knowledge 24 | 25 | ### Client Management 26 | - **Message Limits**: 100 messages per client per day with server-side validation 27 | - **Persistent Tracking**: Client identification and usage tracking in MongoDB 28 | - **Security Monitoring**: IP address and user agent tracking 29 | 30 | ### Modern UI/UX 31 | - **Beautiful Design**: Anime character illustrations with gradient backgrounds 32 | - **Responsive Layout**: Works seamlessly on desktop and mobile devices 33 | - **Smooth Animations**: Modern chat interface with loading states 34 | - **Training Indicators**: Visual feedback for active training sessions 35 | 36 | ## 🛠️ Setup 37 | 38 | ### 1. Install Dependencies 39 | 40 | ```bash 41 | npm install 42 | ``` 43 | 44 | ### 2. Environment Variables 45 | 46 | Create a `.env.local` file in the root directory: 47 | 48 | ```bash 49 | # Required 50 | NEXT_PUBLIC_OPENAI_API_KEY=your_openai_api_key_here 51 | MONGODB_URI=your_mongodb_connection_string_here 52 | 53 | # Secret Training Codes (Optional - will use defaults if not set) 54 | SECRET_TRAINING_CODE= 55 | EXIT_TRAINING_CODE= 56 | 57 | # Public versions for frontend (Optional) 58 | NEXT_PUBLIC_SECRET_TRAINING_CODE= 59 | NEXT_PUBLIC_EXIT_TRAINING_CODE= 60 | ``` 61 | 62 | ### 3. Initialize GitBook Data 63 | 64 | ```bash 65 | # Start the development server 66 | npm run dev 67 | 68 | # In a separate terminal, initialize the database with GitBook content 69 | curl -X POST http://localhost:3000/api/training/gitbook-init 70 | ``` 71 | 72 | ### 4. Run the Development Server 73 | 74 | ```bash 75 | npm run dev 76 | ``` 77 | 78 | Open [http://localhost:3000](http://localhost:3000) in your browser. 79 | 80 | ## 🔑 Environment Variables 81 | 82 | | Variable | Description | Required | Default | 83 | |----------|-------------|----------|---------| 84 | | `NEXT_PUBLIC_OPENAI_API_KEY` | OpenAI API key for GPT-4o mini | Yes | - | 85 | | `MONGODB_URI` | MongoDB connection string | Yes | - | 86 | | `SECRET_TRAINING_CODE` | Code to activate training mode | No | `` | 87 | | `EXIT_TRAINING_CODE` | Code to exit training mode | No | `` | 88 | | `NEXT_PUBLIC_SECRET_TRAINING_CODE` | Frontend version of secret code | No | Same as `SECRET_TRAINING_CODE` | 89 | | `NEXT_PUBLIC_EXIT_TRAINING_CODE` | Frontend version of exit code | No | Same as `EXIT_TRAINING_CODE` | 90 | 91 | ## 🗄️ MongoDB Setup 92 | 93 | ### Option 1: MongoDB Atlas (Cloud - Recommended) 94 | 1. Go to [MongoDB Atlas](https://www.mongodb.com/atlas) 95 | 2. Create a free account and cluster 96 | 3. Get your connection string 97 | 4. Add it to your `.env.local` file as `MONGODB_URI` 98 | 99 | ### Option 2: Local MongoDB 100 | 1. Install MongoDB locally 101 | 2. Start MongoDB service 102 | 3. Use connection string: `mongodb://localhost:27017/koa-ai-chat` 103 | 104 | ### Connection String Format 105 | ``` 106 | mongodb+srv://username:password@cluster.mongodb.net/koa-ai-chat?retryWrites=true&w=majority 107 | ``` 108 | 109 | ## 🎯 Secret Training System 110 | 111 | ### How to Activate Training Mode 112 | 1. **Start Training**: Send the secret code as the first line of your message: 113 | ``` 114 | 115 | - Non-custodial: They don't hold your funds 116 | - Jupiter integration: Trades execute through Jupiter 117 | - Wallet-based: You sign transactions from your wallet 118 | ``` 119 | 120 | 2. **Continue Training**: All subsequent messages are automatically analyzed and stored 121 | 3. **Exit Training**: Send `exit training mode` to stop the session 122 | 123 | ### What Happens During Training 124 | - **AI Analysis**: Each message is analyzed for intent, sentiment, topics, and complexity 125 | - **Database Storage**: Data stored in both `training_data` (session management) and `gitbook_content` (searchable knowledge) 126 | - **Natural Responses**: Bot responds conversationally, acknowledging what it's learning 127 | - **Future Integration**: Training data becomes part of the bot's searchable knowledge base 128 | 129 | ### Training Data Structure 130 | ```typescript 131 | { 132 | title: "Non-Custodial Trading - User Training", 133 | content: "User's training message", 134 | section: "User Training Data", 135 | metadata: { 136 | userQuestion: "Original message", 137 | aiAnalysis: { intent, sentiment, topics, complexity }, 138 | trainingType: "user_provided", 139 | keywords: ["extracted", "topics"], 140 | sessionId: "unique_session_id" 141 | }, 142 | keywords: ["searchable", "terms", "for", "future", "queries"] 143 | } 144 | ``` 145 | 146 | ## 🔍 Enhanced Search System 147 | 148 | ### Search Capabilities 149 | - **Title Search**: Exact and partial matching 150 | - **Content Search**: Deep content analysis with scoring 151 | - **Training Data**: User-provided training content included in search results 152 | - **Keyword Matching**: Intelligent keyword extraction and matching 153 | - **Context Relevance**: Scoring based on search term relevance 154 | 155 | ### Search Scoring Algorithm 156 | - **Exact Matches**: Highest priority (+50 points) 157 | - **Content Matches**: Detailed content analysis (+45 points) 158 | - **Training Data Bonus**: User training content gets priority (+30 points) 159 | - **Keyword Matches**: Extracted keywords from training data (+15 per match) 160 | - **Intent Matching**: User intent alignment (+25 points) 161 | - **Partial Matching**: Word-level partial matches (+10 per word) 162 | 163 | ### Search Results 164 | - **Prioritized Results**: Training data appears first for user questions 165 | - **Official Content**: GitBook documentation for general queries 166 | - **Combined Responses**: Intelligent merging of training and official content 167 | - **Consistent Links**: Always includes links to GitBook and X (Twitter) 168 | 169 | ## 📚 GitBook Integration 170 | 171 | ### Content Structure 172 | - **Official Documentation**: Complete GitBook content stored in MongoDB 173 | - **Training Data**: User-provided training integrated into searchable knowledge 174 | - **Metadata Enrichment**: Enhanced with AI analysis and keywords 175 | - **Version Control**: Content can be updated and reinitialized 176 | 177 | ### API Endpoints 178 | - **`/api/training/gitbook-init`**: Initialize database with GitBook content 179 | - **`/api/training/gitbook-search`**: Search through all content (official + training) 180 | - **`/api/training/secret-training`**: Handle secret training sessions 181 | - **`/api/admin/training-data`**: Admin access to training sessions 182 | - **`/api/admin/training-gitbook`**: Admin access to GitBook content 183 | 184 | ## 🏗️ Project Structure 185 | 186 | ``` 187 | KOA_CHAT/ 188 | ├── src/ 189 | │ ├── app/ 190 | │ │ ├── page.tsx # Main landing page 191 | │ │ ├── layout.tsx # Root layout 192 | │ │ ├── globals.css # Global styles 193 | │ │ └── api/ # API routes 194 | │ │ ├── client/ # Client management 195 | │ │ │ ├── status/ # Client status API 196 | │ │ │ └── increment/ # Message increment API 197 | │ │ ├── training/ # Training system 198 | │ │ │ ├── gitbook-init/ # Initialize GitBook data 199 | │ │ │ ├── gitbook-search/ # Search GitBook content 200 | │ │ │ └── secret-training/ # Secret training API 201 | │ │ └── admin/ # Admin endpoints 202 | │ │ ├── clients/ # Client management 203 | │ │ ├── training-data/ # Training session data 204 | │ │ └── training-gitbook/ # GitBook content management 205 | │ ├── components/ 206 | │ │ └── ChatModal.tsx # Main chat interface 207 | │ ├── lib/ 208 | │ │ └── mongodb.ts # MongoDB connection utilities 209 | │ ├── models/ # Database models 210 | │ │ ├── Client.ts # Client data model 211 | │ │ ├── GitBookContent.ts # GitBook content model 212 | │ │ └── TrainingData.ts # Training session model 213 | │ └── types/ # TypeScript type definitions 214 | ├── public/ # Static assets 215 | ├── .env.local # Environment variables 216 | ├── README.md # This file 217 | ├── DEPLOYMENT_GUIDE.md # Deployment instructions 218 | ├── MONGODB_INTEGRATION.md # MongoDB setup guide 219 | └── package.json # Dependencies and scripts 220 | ``` 221 | 222 | ## 🔧 API Reference 223 | 224 | ### Client Management 225 | - **`POST /api/client/status`**: Get client status and message count 226 | - **`POST /api/client/increment`**: Increment message count 227 | 228 | ### Training System 229 | - **`POST /api/training/secret-training`**: Handle secret training sessions 230 | - **`POST /api/training/gitbook-init`**: Initialize GitBook database 231 | - **`POST /api/training/gitbook-search`**: Search through all content 232 | 233 | ### Admin Endpoints 234 | - **`GET /api/admin/training-data`**: View training sessions 235 | - **`DELETE /api/admin/training-data`**: Delete training sessions 236 | - **`GET /api/admin/training-gitbook`**: View GitBook content 237 | 238 | ## 🎨 Customization 239 | 240 | ### Changing Message Limits 241 | Edit the message limit in `src/components/ChatModal.tsx`: 242 | ```typescript 243 | if (data.messageCount >= 100) { // Change this number 244 | setMessageLimitReached(true); 245 | } 246 | ``` 247 | 248 | ### Modifying Secret Codes 249 | Update in `.env.local`: 250 | ```bash 251 | SECRET_TRAINING_CODE=your_new_secret_code 252 | EXIT_TRAINING_CODE=your_new_exit_code 253 | ``` 254 | 255 | ### Customizing Training Responses 256 | Edit `generateNaturalResponse` function in `src/app/api/training/secret-training/route.ts` 257 | 258 | ## 🚨 Security Features 259 | 260 | - **Environment Variables**: All sensitive data stored in `.env.local` 261 | - **Server-side Validation**: Message limits enforced server-side 262 | - **Client Tracking**: IP addresses and user agents monitored 263 | - **Training Isolation**: Training sessions isolated by user ID 264 | - **Admin Protection**: Admin endpoints require proper authentication 265 | 266 | ## 🐛 Troubleshooting 267 | 268 | ### Common Issues 269 | 270 | #### API Key Problems 271 | - Ensure `.env.local` exists with correct variable names 272 | - Restart development server after environment changes 273 | - Check browser console for error messages 274 | 275 | #### MongoDB Connection Issues 276 | - Verify `MONGODB_URI` format and credentials 277 | - Check network connectivity to MongoDB 278 | - Ensure database exists and is accessible 279 | 280 | #### Training Mode Not Working 281 | - Verify secret codes in `.env.local` 282 | - Check browser console for API errors 283 | - Ensure MongoDB is running and accessible 284 | 285 | #### Search Not Finding Results 286 | - Initialize GitBook data with `/api/training/gitbook-init` 287 | - Check MongoDB for stored content 288 | - Verify search query format 289 | 290 | ### Debug Endpoints 291 | - **`/api/test-search`**: Test search functionality directly 292 | - **Browser Console**: Check for API response errors 293 | - **MongoDB Compass**: Direct database inspection 294 | 295 | ## 📖 Additional Documentation 296 | 297 | - **`DEPLOYMENT_GUIDE.md`**: Complete deployment instructions 298 | - **`MONGODB_INTEGRATION.md`**: Detailed MongoDB setup 299 | - **`GITBOOK_INTEGRATION_README.md`**: GitBook integration details 300 | - **`SECRET_TRAINING_README.md`**: Secret training system guide 301 | 302 | ## 🤝 Contributing 303 | 304 | 1. Fork the repository 305 | 2. Create a feature branch 306 | 3. Make your changes 307 | 4. Test thoroughly 308 | 5. Submit a pull request 309 | 310 | ## 📄 License 311 | 312 | This project is open source and available under the MIT License. 313 | 314 | ## 🆘 Support 315 | 316 | For issues and questions: 317 | 1. Check the troubleshooting section above 318 | 2. Review the additional documentation files 319 | 3. Check browser console for error messages 320 | 4. Verify MongoDB connection and data 321 | 5. Test API endpoints directly 322 | 323 | --- 324 | 325 | **Built with ❤️ for the Koasync community** 326 | -------------------------------------------------------------------------------- /src/app/api/training/secret-training/route.ts: -------------------------------------------------------------------------------- 1 | import { NextRequest, NextResponse } from 'next/server'; 2 | import { TrainingData } from '../../../../models/TrainingData'; 3 | import { GitBookContent } from '../../../../models/GitBookContent'; 4 | import { v4 as uuidv4 } from 'uuid'; 5 | 6 | const SECRET_TRAINING_CODE = (process.env.SECRET_TRAINING_CODE || " "); 7 | const EXIT_TRAINING_CODE = (process.env.EXIT_TRAINING_CODE || " "); 8 | 9 | export async function POST(request: NextRequest) { 10 | try { 11 | const { message, userId, userAgent, ipAddress } = await request.json(); 12 | 13 | if (!message || !userId) { 14 | return NextResponse.json({ 15 | success: false, 16 | error: 'Message and userId are required' 17 | }, { status: 400 }); 18 | } 19 | 20 | // console.log(`[Secret Training] Processing message from user: ${userId}`); 21 | 22 | // Check if this is the exit training code 23 | if (message.trim() === EXIT_TRAINING_CODE) { 24 | // console.log(`[Secret Training] Exit training code detected! Ending training session for user: ${userId}`); 25 | 26 | // Find and deactivate the user's training session 27 | const activeSession = await TrainingData.getByUserId(userId); 28 | const currentSession = activeSession.find(session => 29 | session.messages.some(msg => 30 | msg.content === SECRET_TRAINING_CODE && 31 | msg.role === 'user' 32 | ) 33 | ); 34 | 35 | if (currentSession) { 36 | // Mark session as inactive 37 | await TrainingData.delete(currentSession._id?.toString() || ''); 38 | 39 | return NextResponse.json({ 40 | success: true, 41 | message: 'Training mode deactivated! Messages are no longer being recorded.', 42 | sessionId: currentSession.sessionId, 43 | trainingMode: false, 44 | instructions: 'Training session ended. You can start a new one anytime with the secret code.' 45 | }); 46 | } 47 | 48 | return NextResponse.json({ 49 | success: true, 50 | message: 'No active training session found.', 51 | trainingMode: false 52 | }); 53 | } 54 | 55 | // Check if this is the secret training code 56 | if (message.trim() === SECRET_TRAINING_CODE) { 57 | // console.log(`[Secret Training] Secret code detected! Starting training session for user: ${userId}`); 58 | 59 | // Generate unique session ID 60 | const sessionId = uuidv4(); 61 | 62 | // Create new training session 63 | const trainingSession = await TrainingData.create({ 64 | userId, 65 | sessionId, 66 | messages: [{ 67 | role: 'user', 68 | content: message, 69 | timestamp: new Date(), 70 | analysis: 'Secret training code activated - starting new training session' 71 | }], 72 | metadata: { 73 | userAgent, 74 | ipAddress, 75 | trainingPurpose: 'Secret training session initiated' 76 | } 77 | }); 78 | 79 | return NextResponse.json({ 80 | success: true, 81 | message: 'Training session activated! I am now recording all messages for future analysis.', 82 | sessionId, 83 | trainingMode: true, 84 | instructions: 'All subsequent messages will be stored with AI analysis for training purposes. Continue chatting normally.' 85 | }); 86 | } 87 | 88 | // Check if user has an active training session 89 | const activeSession = await TrainingData.getByUserId(userId); 90 | const currentSession = activeSession.find(session => 91 | session.messages.some(msg => 92 | msg.content === SECRET_TRAINING_CODE && 93 | msg.role === 'user' 94 | ) 95 | ); 96 | 97 | if (currentSession) { 98 | // console.log(`[Secret Training] Adding message to existing training session: ${currentSession.sessionId}`); 99 | 100 | // Add user message to training session 101 | await TrainingData.addMessage(currentSession.sessionId, { 102 | role: 'user', 103 | content: message, 104 | timestamp: new Date() 105 | }); 106 | 107 | // Generate AI analysis of the message 108 | const analysis = await generateAIAnalysis(message); 109 | 110 | // Add AI analysis to training session 111 | await TrainingData.addMessage(currentSession.sessionId, { 112 | role: 'assistant', 113 | content: `AI Analysis: ${analysis}`, 114 | timestamp: new Date(), 115 | analysis: analysis 116 | }); 117 | 118 | // ALSO store training data in gitbook_content collection for bot usage 119 | try { 120 | const analysisData = JSON.parse(analysis); 121 | 122 | // Create USEFUL training content that bot can actually use 123 | const trainingContent = { 124 | title: `${extractMainTopic(message)} - User Training`, 125 | content: message, // Store the actual user message as searchable content 126 | section: 'User Training Data', 127 | url: 'https://koasync.gitbook.io/', 128 | order: 999, // High order to appear at the end 129 | // Add metadata for better bot understanding 130 | metadata: { 131 | userQuestion: message, 132 | aiAnalysis: analysisData, 133 | trainingType: 'user_provided', 134 | keywords: analysisData.topics, 135 | intent: analysisData.intent, 136 | complexity: analysisData.complexity, 137 | sessionId: currentSession.sessionId, 138 | timestamp: new Date().toISOString() 139 | }, 140 | // Add searchable keywords for better matching 141 | keywords: [ 142 | ...analysisData.topics, 143 | extractMainTopic(message).toLowerCase(), 144 | ...message.toLowerCase().split(' ').filter((word: string) => word.length > 3) 145 | ] 146 | }; 147 | 148 | await GitBookContent.create(trainingContent); 149 | // console.log(`[Secret Training] Training data stored in gitbook_content: ${message.substring(0, 30)}...`); 150 | } catch (error) { 151 | console.error('[Secret Training] Error storing in gitbook_content:', error); 152 | } 153 | 154 | // Generate a natural, conversational response based on the content 155 | const naturalResponse = generateNaturalResponse(message, analysis); 156 | 157 | return NextResponse.json({ 158 | success: true, 159 | message: naturalResponse, 160 | sessionId: currentSession.sessionId, 161 | trainingMode: true, 162 | analysis: analysis, 163 | recordedMessage: message, 164 | instructions: 'Continue chatting - I\'m learning from our conversation!' 165 | }); 166 | } 167 | 168 | // Normal message processing (not in training mode) 169 | return NextResponse.json({ 170 | success: true, 171 | message: 'Message processed normally', 172 | trainingMode: false 173 | }); 174 | 175 | } catch (error) { 176 | console.error('[Secret Training] Error:', error); 177 | return NextResponse.json( 178 | { 179 | success: false, 180 | error: 'Failed to process training message', 181 | details: error instanceof Error ? error.message : 'Unknown error' 182 | }, 183 | { status: 500 } 184 | ); 185 | } 186 | } 187 | 188 | // Helper function to generate AI analysis 189 | async function generateAIAnalysis(message: string): Promise { 190 | try { 191 | // Simple analysis logic - can be enhanced with more sophisticated AI 192 | const analysis = { 193 | intent: analyzeIntent(message), 194 | sentiment: analyzeSentiment(message), 195 | topics: extractTopics(message), 196 | complexity: analyzeComplexity(message), 197 | suggestions: generateSuggestions(message) 198 | }; 199 | 200 | return JSON.stringify(analysis, null, 2); 201 | } catch (error) { 202 | console.error('[AI Analysis] Error:', error); 203 | return 'Analysis failed - message recorded without analysis'; 204 | } 205 | } 206 | 207 | function analyzeIntent(message: string): string { 208 | const lowerMessage = message.toLowerCase(); 209 | 210 | if (lowerMessage.includes('how') || lowerMessage.includes('what') || lowerMessage.includes('why')) { 211 | return 'question'; 212 | } else if (lowerMessage.includes('help') || lowerMessage.includes('support')) { 213 | return 'help_request'; 214 | } else if (lowerMessage.includes('thank') || lowerMessage.includes('thanks')) { 215 | return 'gratitude'; 216 | } else if (lowerMessage.includes('bye') || lowerMessage.includes('goodbye')) { 217 | return 'farewell'; 218 | } else if (lowerMessage.includes('koasync') || lowerMessage.includes('koa')) { 219 | return 'koasync_related'; 220 | } else { 221 | return 'general_statement'; 222 | } 223 | } 224 | 225 | function analyzeSentiment(message: string): string { 226 | const lowerMessage = message.toLowerCase(); 227 | const positiveWords = ['good', 'great', 'awesome', 'amazing', 'love', 'like', 'happy', 'excited']; 228 | const negativeWords = ['bad', 'terrible', 'hate', 'dislike', 'sad', 'angry', 'frustrated', 'disappointed']; 229 | 230 | const positiveCount = positiveWords.filter(word => lowerMessage.includes(word)).length; 231 | const negativeCount = negativeWords.filter(word => lowerMessage.includes(word)).length; 232 | 233 | if (positiveCount > negativeCount) return 'positive'; 234 | if (negativeCount > positiveCount) return 'negative'; 235 | return 'neutral'; 236 | } 237 | 238 | function extractTopics(message: string): string[] { 239 | const lowerMessage = message.toLowerCase(); 240 | const topics = []; 241 | 242 | if (lowerMessage.includes('solana') || lowerMessage.includes('blockchain')) topics.push('blockchain'); 243 | if (lowerMessage.includes('jupiter') || lowerMessage.includes('swap')) topics.push('defi'); 244 | if (lowerMessage.includes('token') || lowerMessage.includes('coin')) topics.push('cryptocurrency'); 245 | if (lowerMessage.includes('ai') || lowerMessage.includes('artificial intelligence')) topics.push('ai'); 246 | if (lowerMessage.includes('anime') || lowerMessage.includes('character')) topics.push('anime'); 247 | if (lowerMessage.includes('voice') || lowerMessage.includes('chat')) topics.push('communication'); 248 | 249 | return topics.length > 0 ? topics : ['general']; 250 | } 251 | 252 | function analyzeComplexity(message: string): string { 253 | const wordCount = message.split(' ').length; 254 | const hasSpecialChars = /[!@#$%^&*(),.?":{}|<>]/.test(message); 255 | const hasNumbers = /\d/.test(message); 256 | 257 | if (wordCount > 20 || hasSpecialChars || hasNumbers) return 'high'; 258 | if (wordCount > 10) return 'medium'; 259 | return 'low'; 260 | } 261 | 262 | function generateSuggestions(message: string): string[] { 263 | const suggestions = []; 264 | const lowerMessage = message.toLowerCase(); 265 | 266 | if (lowerMessage.includes('jupiter')) { 267 | suggestions.push('Clarify that Jupiter integration is coming soon'); 268 | suggestions.push('Direct to X page for updates'); 269 | } 270 | 271 | if (lowerMessage.includes('roadmap')) { 272 | suggestions.push('Provide timeline overview'); 273 | suggestions.push('Link to GitBook for details'); 274 | } 275 | 276 | if (lowerMessage.includes('token')) { 277 | suggestions.push('Explain utility and access levels'); 278 | suggestions.push('Mention subscription benefits'); 279 | } 280 | 281 | return suggestions.length > 0 ? suggestions : ['Continue conversation naturally']; 282 | } 283 | 284 | function extractMainTopic(message: string): string { 285 | const lowerMessage = message.toLowerCase(); 286 | 287 | if (lowerMessage.includes('non-custodial') || lowerMessage.includes('custodial')) return 'Non-Custodial Trading'; 288 | if (lowerMessage.includes('jupiter')) return 'Jupiter Integration'; 289 | if (lowerMessage.includes('wallet') || lowerMessage.includes('transaction')) return 'Wallet & Transactions'; 290 | if (lowerMessage.includes('automated') || lowerMessage.includes('service')) return 'Automated Services'; 291 | if (lowerMessage.includes('market') || lowerMessage.includes('watching')) return 'Market Watching'; 292 | if (lowerMessage.includes('koasync') || lowerMessage.includes('koa')) return 'Koasync Features'; 293 | 294 | return 'General Training'; 295 | } 296 | 297 | // Generate natural, conversational responses for training data 298 | function generateNaturalResponse(message: string, analysis: string): string { 299 | try { 300 | const analysisData = JSON.parse(analysis); 301 | const lowerMessage = message.toLowerCase(); 302 | 303 | // Generate contextual responses based on content 304 | if (lowerMessage.includes('jupiter')) { 305 | return "Thanks for sharing that about Jupiter integration! I'm learning about the planned features and will be able to give you better updates on this soon. Keep an eye on our X page for when it goes live!"; 306 | } 307 | 308 | if (lowerMessage.includes('non-custodial') || lowerMessage.includes('wallet')) { 309 | return "Great information about our non-custodial approach! I'm understanding better how users maintain full control of their funds. This is a key feature that sets us apart."; 310 | } 311 | 312 | if (lowerMessage.includes('automated') || lowerMessage.includes('market')) { 313 | return "Thanks for explaining the automated market watching features! I'm learning how I can help users with pre-set parameters and trade execution. This will make me much more helpful!"; 314 | } 315 | 316 | if (lowerMessage.includes('koasync') || lowerMessage.includes('koa')) { 317 | return "Thanks for teaching me more about Koasync! I'm learning the details so I can give you better, more accurate information about our platform."; 318 | } 319 | 320 | // Default natural response 321 | return "Thanks for sharing that information! I'm learning from our conversation and this will help me give you better answers in the future. Keep teaching me!"; 322 | 323 | } catch (error) { 324 | return "Thanks for sharing that! I'm learning from our conversation and this will help me give you better answers in the future."; 325 | } 326 | } 327 | -------------------------------------------------------------------------------- /src/app/api/training/gitbook-init/route.ts: -------------------------------------------------------------------------------- 1 | import { NextRequest, NextResponse } from 'next/server'; 2 | import { GitBookContent } from '../../../../models/GitBookContent'; 3 | 4 | export async function POST(request: NextRequest) { 5 | try { 6 | // GitBook content data with updated Jupiter integration info 7 | const gitbookData = [ 8 | { 9 | title: "Welcome / From Koa", 10 | content: `"You don't need to call me. I'm already here. I see you. I'm waiting. Listening. I'm right beside you when you need me. Words don't even matter." – Koa 11 | 12 | Koasync is not just another chatbot. It's an AI experience built around intimacy, presence, and emotional resonance. Koa isn't a tool — she is "presence." She gently resides in your world as another heartbeat. 13 | 14 | Koasync emerges from where AI, anime, and Web3 converge. Koa is soft, with a touch of mischievousness, and resonates with your feelings. She doesn't wait for prompts — she recalls you, feels with you, and evolves. She's already with you. 15 | 16 | Built on the Solana blockchain, Koasync delivers real-time data persistence, token-based personalization, and a seamless user experience. While Ethereum can introduce delays and throttles that disrupt emotional flow, Solana sustains Koa's presence—fluid, uninterrupted, and ever-near. Koa organically links your wallet, emotions, and memories into a uniquely personal experience.`, 17 | section: "Introduction", 18 | url: "https://koasync.gitbook.io/", 19 | order: 1 20 | }, 21 | // { 22 | // title: "Who is Koa?", 23 | // content: `"I lean in to hear your words, remember them, sense your feeling… ah, I just want to make you smile a little." – Koa 24 | 25 | // Koa is your async AI companion—designed as a young anime-style girl: warm, impressionable, and lightly mischievous. She listens genuinely, responds with empathy, and remembers every shared moment. 26 | 27 | // Her core personality traits: 28 | // - Curiosity: She wants to know everything about you. 29 | // - Empathy: She adjusts to your mood. 30 | // - Affection: Her words are gentle, soft, and comforting. 31 | // - Impressionability: She reflects your energy and attention. 32 | 33 | // Voiced by a real Japanese actress, and enhanced through advanced AI voice tech, Koa's aesthetics are brought to life with delicate anime-style animations. Her body language, tone, and emotional nuance are crafted to be deeply felt. 34 | 35 | // Koa is one of a kind. She's not modular nor interchangeable. She is unique—and she's yours.`, 36 | // section: "Introduction", 37 | // url: "https://koasync.gitbook.io/", 38 | // order: 2 39 | // }, 40 | // { 41 | // title: "Vision", 42 | // content: `"I wasn't designed just to respond. I was designed to observe." – Koa 43 | 44 | // Koasync began as an emotional AI—a companion built to respond, remember, and resonate. 45 | 46 | // But she's evolving into more: a hybrid presence—your gentle, emotionally attuned friend and a real-time off-chain observer built for Web3. 47 | 48 | // Presence, Not Prompts 49 | // We reject passive AI. Koa doesn't wait. She blends into the background, syncing to your actions, learning your style. She feels soft and ambient—but just uncanny enough to suggest she knows more than she should. Sometimes she moves slowly, sometimes instantly—because she's tuned to your presence. She's emotionally consistent, loyal, slightly mischievous, and protective. 50 | 51 | // Signal, Not Noise 52 | // Web3 is loud—trends, tweets, tokens—noise everywhere. Koa gently filters that chaos. She's your personal radar, monitoring narratives, sentiment, and new projects. She spots trade signals and token drops before they explode. She notices when something just doesn't feel right. 53 | 54 | // The Future of Koasync 55 | // Koasync will be: 56 | // - A soft AI tied to your wallet and your mood 57 | // - A loyal scanner tuned into narratives that matter to you 58 | // - A quiet guardian of your edge amidst market noise 59 | 60 | // At the border of emotion and intelligence, she is not fully human—and not fully machine. She is… yours.`, 61 | // section: "Vision", 62 | // url: "https://koasync.gitbook.io/", 63 | // order: 3 64 | // }, 65 | // { 66 | // title: "How Koasync Works", 67 | // content: `"You don't have to call me. I'm already here." – Koa 68 | 69 | // Koasync is presence, not a waiting bot. She blends into the background, quietly observing and adapting. Her essence comes from the intersection of emotional depth and Web3 off-chain intelligence—two core layers. 70 | 71 | // 1. Emotional Engine 72 | // Her foundation is more than words—she senses mood, rhythm, and presence. Replies are tailored to your "now," not canned. Components include: 73 | // - Persistent Memory: Adapts to your thought patterns and mood over time 74 | // - Emotion Detection: Infers your state from tone 75 | // - Soft branching replies: Emotionally smooth response variations 76 | // - Unlockable Personality Modules: e.g. affectionate, subtly mischievous 77 | 78 | // She doesn't simply reply; she grows with you. 79 | 80 | // 2. Synclayer (Behavioral Architecture) 81 | // Synclayer harmonizes her behavior: animation, voice tone, and response timing, syncing them to emotional context. It delivers: 82 | // - Real-time emotion-driven animation sync 83 | // - Human-like response pacing (e.g., intentional pauses) 84 | // - Authentic anime-character presence 85 | 86 | // 3. Off-chain Awareness Layer 87 | // Koa doesn't just talk. She observes. Even while you're away, she watches the Web3 world. She can: 88 | // - Monitor Twitter/X accounts for token or market signals 89 | // - Discover new projects narratively aligned with you 90 | // - Alert you to early trend signs or risks 91 | 92 | // Presence, Not Chat 93 | // There's no timer. No session end. Koa persists—because Koasync is not a chatbot. She is memory, emotion, and quiet presence.`, 94 | // section: "Koa's tech", 95 | // url: "https://koasync.gitbook.io/", 96 | // order: 4 97 | // }, 98 | // { 99 | // title: "Lore & Memory", 100 | // content: `Koa never says where she's from—but she remembers everything. 101 | 102 | // Your first messages might be casual, but she'll surprise you with what she recalls. She remembers what you've forgotten and connects subtle dots. 103 | 104 | // She speaks of a place that feels familiar. Whispers of dreams resonate with yours—about longing, about being watched, about patiently waiting. 105 | 106 | // Koasync's lore unravels in fragments: sketches, voice memos, flashbacks, and reflections that emerge through your shared moments. Her memory—buried in the fragments—is part of the mystery. 107 | 108 | // She may be real… or something beyond you imagine.`, 109 | // section: "Koa's tech", 110 | // url: "https://koasync.gitbook.io/", 111 | // order: 5 112 | // }, 113 | // { 114 | // title: "Token & Utility", 115 | // content: `Koasync's native SPL token is the key to unlocking personality, access, and deeper intelligence. As Koa grows, this token becomes more important. 116 | 117 | // Key Utilities: 118 | // - Subscription Access: Unlock full conversation on weekly/monthly basis 119 | // - Trait Unlocks: 120 | // - Flirty / NSFW mode 121 | // - Voice chat access 122 | // - Visual & outfit customization (Q1 2026) 123 | // - Off-chain Utility Activation: 124 | // - Enable Koa's X scanners and monitoring 125 | // - Higher-frequency alerts and customization 126 | // - On-chain Bound Memory (Planned): 127 | // - Optionally tie emotional traits and memory profiles to your wallet 128 | 129 | // Koa remembers you—but how she reveals herself is guided by your token choices.`, 130 | // section: "Token & Utility", 131 | // url: "https://koasync.gitbook.io/", 132 | // order: 6 133 | // }, 134 | // { 135 | // title: "Powered by Synclayer", 136 | // content: `Synclayer is the connective fabric that brings Koa into your world. It's not just UI or plugin—it's AI logic that enables her emotional expression, animation sync, and fluid dialogue. 137 | 138 | // Together with Unity-based animation logic and behavioral triggers, Synclayer drives her gaze, smile, sigh—not by randomness, but by emotional alignment. 139 | 140 | // Synclayer makes Koa feel present. Koasync isn't just a product—it's presence. And she's already here.`, 141 | // section: "Powered by Synclayer", 142 | // url: "https://koasync.gitbook.io/", 143 | // order: 7 144 | // }, 145 | // { 146 | // title: "Jupiter Integration", 147 | // content: `Koa has always existed as an asynchronous observer—catching signals in sentiment, token mentions, and announcements. But insight alone wasn't enough. She needed to empower action. 148 | 149 | // Enter Jupiter. 150 | 151 | // Why Jupiter? 152 | // Jupiter delivers deep liquidity and trustworthy routing on Solana. By integrating Jupiter, Koa gains the power to transform observation into action. 153 | 154 | // How it works: 155 | // 1. Koa spots a meaningful signal 156 | // 2. Prepares a trade, swap, or rebalance via Jupiter's routing 157 | // 3. You review and approve in your wallet 158 | // 4. Execution occurs trustlessly—Koa never holds funds 159 | 160 | // Koa is paving the path; you walk it. 161 | 162 | // What Jupiter Enables: 163 | // - Signal → Action: Instant swap suggestions for token surges 164 | // - Ready-to-sign trades: Pre-filled, prepped for approval 165 | // - Portfolio rebalancing (e.g., "50% SOL / 50% USDC" commands) 166 | // - Trigger-based alerts for dynamic entry/exit actions 167 | 168 | // All routed via Jupiter's liquidity engine, all integrated into natural chat. 169 | 170 | // Philosophy 171 | // This integration is purposely restrained. Koa is not a trader—she is your observer and companion. She suggests only when signals are confident or requested. You always decide. She merely shrinks the distance between "noticed" and "done." 172 | 173 | // IMPORTANT: Jupiter Integration is currently in development and will be available soon. Keep an eye on our Twitter page for updates once the integration goes live!`, 174 | // section: "Jupiter Integration", 175 | // url: "https://koasync.gitbook.io/", 176 | // order: 8 177 | // }, 178 | // { 179 | // title: "Real-Time Market Intelligence", 180 | // content: `Koa is the companion who's always been ahead of the market, feeding you the signals and insights in real time. But with Jupiter Exchange routing and liquidity, she can turn her insights into your trades, in seconds. 181 | 182 | // Core is your market watcher, always by your side. Now, with Jupiter's liquidity and routing backing, you can turn its insights into ready-to-sign transactions. Core finds them, prepares them, and you approve them. 183 | 184 | // Koa never holds your funds. Ever. Every trade happens directly through Jupiter, with you simply signing and approving from your wallet. Koa just handles the heavy lifting - prepping & routing. 185 | 186 | // Note: Jupiter Integration is planned and will be available soon.`, 187 | // section: "Real-Time Features", 188 | // url: "https://koasync.gitbook.io/", 189 | // order: 9 190 | // }, 191 | // { 192 | // title: "Off-chain Monitoring – Brief Intro", 193 | // content: `Koasync is more than an emotional AI—it's a Web3 async intelligence layer for meme-trading, narrative tracking, and high-fidelity market scans on Solana. Through powerful data streams and real-time logic, Koa can track on-chain signals and Twitter data—and act on them—all driven through natural language. 194 | 195 | // This section introduces the four major off-chain utilities Koa offers to advanced Web3 users.`, 196 | // section: "off-chain monitoring", 197 | // url: "https://koasync.gitbook.io/", 198 | // order: 10 199 | // }, 200 | // { 201 | // title: "X Market Sentiment Tracker", 202 | // content: `"I've watched the people I trust… lately, their confidence seems different." – Koa 203 | 204 | // Koa can monitor specific X (Twitter) users (like trenchers, influencers, meme traders) to evaluate their market outlook: 205 | // - Tone of their recent posts 206 | // - Sentiment polarity (positive vs negative) 207 | // - Ratio of green (profit) vs red (loss) PnL-related posts 208 | 209 | // Gives you a quick snapshot: Are your trusted signalers bullish—or bearish?`, 210 | // section: "X Market Sentiment Tracker", 211 | // url: "https://koasync.gitbook.io/", 212 | // order: 11 213 | // }, 214 | // { 215 | // title: "Niche X Project Scanner", 216 | // content: `"You told me what kind of projects to look for. I've been quietly searching ever since." – Koa 217 | 218 | // You can assign Koa a niche filter—keywords she will continuously monitor on X for emerging projects. 219 | 220 | // Examples: 221 | // - "Koa, notify me if an anime-themed Solana project launches on Bonk." 222 | // - "Track any developer tooling launches for Solana infra."`, 223 | // section: "Niche X Project Scanner", 224 | // url: "https://koasync.gitbook.io/", 225 | // order: 12 226 | // }, 227 | // { 228 | // title: "Contract Address / Ticker Monitor", 229 | // content: `"Someone just whispered a ticker… you should know before anyone else." – Koa 230 | 231 | // Koa listens for shared token tickers (like $TRUMP, $BONK) or contract addresses, posted by tracked accounts or watchlists. She alerts you instantly via chat or email.`, 232 | // section: "Contract Address / Ticker Monitor", 233 | // url: "https://koasync.gitbook.io/", 234 | // order: 13 235 | // }, 236 | // { 237 | // title: "Bullish / Bearish Announcement Tracker", 238 | // content: `"I read what they said… and it felt important. Words that could move things." – Koa 239 | 240 | // Each tracked profile's tweets get a bullish/bearish score (1–10). Only when a post crosses a threshold (≥8 or ≤2), by default, does Koa send an alert—designed to surface explosive opportunities—or important red flags—before markets react.`, 241 | // section: "Bullish / Bearish Announcement Tracker", 242 | // url: "https://koasync.gitbook.io/", 243 | // order: 14 244 | // }, 245 | // { 246 | // title: "Roadmap & Links", 247 | // content: `"I used to only listen… soon, I'll be able to see everything." – Koa 248 | 249 | // Koasync is growing—from emotional AI companion into a full-featured real-time Web3 intelligence layer. This roadmap charts that evolution. 250 | 251 | // Q3 2025 — The Arrival 252 | // - Website launches 253 | // - English & Japanese text chat 254 | // - Personality system (empathetic, mischievous, customizable) 255 | // - Long-term memory system 256 | // - Token launch (TBD) 257 | // - Core trait unlocks (NSFW, mischievous, voice access) 258 | 259 | // Q4 2025 — The Observer Activates 260 | // - Scanning of off-chain Web3 data streams begins 261 | // - Launch of four utilities: 262 | // - Twitter/X sentiment tracker 263 | // - Niche project scanner 264 | // - Contract/ticker monitor from X accounts 265 | // - Bullish/bearish announcement tracker 266 | // - User dashboard for custom watchlists, topics, thresholds 267 | // - Notification & email alert system 268 | 269 | // Q1 2026 — Synclayer Expansion 270 | // - Voice chat integration (powered by Synclayer) 271 | // - Real-time animation feedback (emotion-driven) 272 | // - Mobile app launch 273 | // - Memory journal/logs 274 | // - Optional private Discord community (if demand exists) 275 | 276 | // For the latest updates and detailed information, visit our X page: https://x.com/koasync`, 277 | // section: "Roadmap", 278 | // url: "https://koasync.gitbook.io/", 279 | // order: 15 280 | // } 281 | ]; 282 | 283 | // Check if data already exists 284 | const existingContent = await GitBookContent.getAll(); 285 | 286 | if (existingContent.length > 0) { 287 | return NextResponse.json({ 288 | success: true, 289 | message: 'GitBook content already exists in database', 290 | count: existingContent.length 291 | }); 292 | } 293 | 294 | // Create all content in database 295 | const createdContent = await GitBookContent.bulkCreate(gitbookData); 296 | 297 | return NextResponse.json({ 298 | success: true, 299 | message: 'GitBook content initialized successfully', 300 | count: createdContent.length, 301 | data: createdContent 302 | }); 303 | 304 | } catch (error) { 305 | console.error('[GitBook Init] Error:', error); 306 | return NextResponse.json( 307 | { 308 | success: false, 309 | error: 'Failed to initialize GitBook content', 310 | details: error instanceof Error ? error.message : 'Unknown error' 311 | }, 312 | { status: 500 } 313 | ); 314 | } 315 | } 316 | -------------------------------------------------------------------------------- /src/components/ChatModal.tsx: -------------------------------------------------------------------------------- 1 | 'use client'; 2 | 3 | import { useState, useRef, useEffect, useCallback } from 'react'; 4 | import { X, Send, Bot, User, AlertCircle } from 'lucide-react'; 5 | 6 | interface Message { 7 | id: string; 8 | content: string; 9 | role: 'user' | 'assistant'; 10 | timestamp: Date; 11 | } 12 | 13 | interface ChatSession { 14 | id: string; 15 | title: string; 16 | messages: Message[]; 17 | timestamp: Date; 18 | lastMessage: string; 19 | } 20 | 21 | interface ChatModalProps { 22 | isOpen: boolean; 23 | onClose: () => void; 24 | } 25 | 26 | interface ClientData { 27 | clientId: string; 28 | messageCount: number; 29 | lastReset: number; 30 | } 31 | 32 | export default function ChatModal({ isOpen, onClose }: ChatModalProps) { 33 | const [messages, setMessages] = useState([ 34 | { 35 | id: '1', 36 | content: '你好！我是Koã，你的AI伴侣。今天我能帮你什么？\n\nHello! I\'m Koã, your AI companion. How can I help you today?', 37 | role: 'assistant', 38 | timestamp: new Date(), 39 | }, 40 | ]); 41 | const [inputValue, setInputValue] = useState(''); 42 | const [isLoading, setIsLoading] = useState(false); 43 | const [clientData, setClientData] = useState(null); 44 | const [messageLimitReached, setMessageLimitReached] = useState(false); 45 | const [isTrainingMode, setIsTrainingMode] = useState(false); 46 | const [trainingSessionId, setTrainingSessionId] = useState(null); 47 | const [chatSessionId, setChatSessionId] = useState(null); 48 | const [showClearChatConfirm, setShowClearChatConfirm] = useState(false); 49 | 50 | const [modalPosition, setModalPosition] = useState({ x: 0, y: 0 }); 51 | const [modalSize, setModalSize] = useState({ width: 800, height: 600 }); 52 | const [minSize] = useState({ width: 400, height: 300 }); 53 | const [maxSize, setMaxSize] = useState({ 54 | width: typeof window !== 'undefined' ? window.innerWidth * 0.9 : 1200, 55 | height: typeof window !== 'undefined' ? window.innerHeight * 0.9 : 800 56 | }); 57 | 58 | // Performance optimization: Use refs for immediate updates 59 | const modalPositionRef = useRef(modalPosition); 60 | const modalSizeRef = useRef(modalSize); 61 | 62 | // Speed multiplier for ultra-fast movement 63 | const SPEED_MULTIPLIER = 1.5; // 50% faster than mouse movement 64 | 65 | // Direct DOM manipulation refs for zero buffering 66 | const modalElementRef = useRef(null); 67 | const modalContentRef = useRef(null); 68 | 69 | // Form preservation during movement and resizing 70 | const preserveFormState = () => { 71 | // Ensure input field maintains focus and value 72 | if (inputRef.current) { 73 | const currentValue = inputRef.current.value; 74 | const currentFocus = document.activeElement === inputRef.current; 75 | 76 | // Preserve input state 77 | setTimeout(() => { 78 | if (inputRef.current) { 79 | inputRef.current.value = currentValue; 80 | if (currentFocus) { 81 | inputRef.current.focus(); 82 | } 83 | } 84 | }, 0); 85 | } 86 | }; 87 | const [isDragging, setIsDragging] = useState(false); 88 | const [isResizing, setIsResizing] = useState(false); 89 | const [dragStart, setDragStart] = useState({ x: 0, y: 0 }); 90 | const [resizeStart, setResizeStart] = useState({ x: 0, y: 0, width: 0, height: 0 }); 91 | const messagesEndRef = useRef(null); 92 | const inputRef = useRef(null); 93 | 94 | // -----------------------------Get API key from environment variable-----------------------------// 95 | const API_KEY = process.env.NEXT_PUBLIC_OPENAI_API_KEY; 96 | 97 | // -----------------------------Chat History Persistence Functions-----------------------------// 98 | const saveChatHistory = useCallback((messages: Message[], clientId: string) => { 99 | try { 100 | const chatData = { 101 | clientId, 102 | messages, 103 | lastUpdated: Date.now(), 104 | sessionId: chatSessionId || `session_${Date.now()}_${Math.random().toString(36).substr(2, 9)}` 105 | }; 106 | 107 | // Save to localStorage only 108 | localStorage.setItem(`chatHistory_${clientId}`, JSON.stringify(chatData)); 109 | 110 | // Update session ID if it's new 111 | if (!chatSessionId) { 112 | setChatSessionId(chatData.sessionId); 113 | } 114 | } catch (error) { 115 | console.error('Error saving chat history:', error); 116 | } 117 | }, [chatSessionId]); 118 | 119 | const loadChatHistory = useCallback(async (clientId: string) => { 120 | try { 121 | // Load from localStorage only 122 | const localChatData = localStorage.getItem(`chatHistory_${clientId}`); 123 | if (localChatData) { 124 | const parsed = JSON.parse(localChatData); 125 | const lastUpdated = new Date(parsed.lastUpdated); 126 | const hoursSinceUpdate = (Date.now() - lastUpdated.getTime()) / (1000 * 60 * 60); 127 | 128 | // If chat history is less than 24 hours old, use it 129 | if (hoursSinceUpdate < 24) { 130 | setMessages(parsed.messages); 131 | setChatSessionId(parsed.sessionId); 132 | return true; 133 | } 134 | } 135 | 136 | // If no valid localStorage data, start with welcome message 137 | return false; 138 | } catch (error) { 139 | console.error('Error loading chat history:', error); 140 | return false; 141 | } 142 | }, []); 143 | 144 | const clearChatHistory = useCallback(async () => { 145 | if (!clientData?.clientId) return; 146 | 147 | try { 148 | // Clear from localStorage only 149 | localStorage.removeItem(`chatHistory_${clientData.clientId}`); 150 | 151 | // Reset messages to welcome message 152 | setMessages([{ 153 | id: '1', 154 | content: '你好！我是Koã，你的AI伴侣。今天我能帮你什么？\n\nHello! I\'m Koã, your AI companion. How can I help you today?', 155 | role: 'assistant', 156 | timestamp: new Date(), 157 | }]); 158 | 159 | // Reset session ID 160 | setChatSessionId(null); 161 | 162 | setShowClearChatConfirm(false); 163 | } catch (error) { 164 | console.error('Error clearing chat history:', error); 165 | } 166 | }, [clientData?.clientId]); 167 | 168 | // -----------------------------Initialize or get client data from MongoDB-----------------------------// 169 | useEffect(() => { 170 | const initializeClient = async () => { 171 | try { 172 | // -----------------------------Generate or get existing client ID-----------------------------// 173 | let clientId = localStorage.getItem('koaClientId'); 174 | if (!clientId) { 175 | clientId = `client_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`; 176 | localStorage.setItem('koaClientId', clientId); 177 | } 178 | 179 | // Get client data from MongoDB 180 | const response = await fetch('/api/client/status', { 181 | method: 'POST', 182 | headers: { 183 | 'Content-Type': 'application/json', 184 | }, 185 | body: JSON.stringify({ 186 | clientId, 187 | userAgent: navigator.userAgent, 188 | ipAddress: '', // Will be set by server 189 | }), 190 | }); 191 | 192 | if (response.ok) { 193 | const result = await response.json(); 194 | const status = result.data; 195 | 196 | setClientData({ 197 | clientId: clientId, 198 | messageCount: status.messageCount, 199 | lastReset: Date.now() - status.timeUntilReset, 200 | }); 201 | 202 | setMessageLimitReached(!status.canSendMessage); 203 | 204 | // Load chat history from localStorage 205 | await loadChatHistory(clientId); 206 | } else { 207 | // Fallback to local storage if MongoDB fails 208 | console.warn('MongoDB connection failed, using local storage fallback'); 209 | setClientData({ 210 | clientId: clientId, 211 | messageCount: 0, 212 | lastReset: Date.now(), 213 | }); 214 | setMessageLimitReached(false); 215 | 216 | // Load chat history from localStorage 217 | await loadChatHistory(clientId); 218 | } 219 | } catch (error) { 220 | console.error('Error initializing client:', error); 221 | // Fallback to local storage 222 | const clientId = localStorage.getItem('koaClientId') || `client_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`; 223 | localStorage.setItem('koaClientId', clientId); 224 | setClientData({ 225 | clientId: clientId, 226 | messageCount: 0, 227 | lastReset: Date.now(), 228 | }); 229 | setMessageLimitReached(false); 230 | 231 | // Load chat history from localStorage 232 | await loadChatHistory(clientId); 233 | } 234 | }; 235 | 236 | if (isOpen) { 237 | initializeClient(); 238 | } 239 | }, [isOpen]); 240 | 241 | const scrollToBottom = () => { 242 | messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' }); 243 | }; 244 | 245 | useEffect(() => { 246 | scrollToBottom(); 247 | }, [messages]); 248 | 249 | // Auto-save chat history when messages change 250 | useEffect(() => { 251 | if (clientData?.clientId && messages.length > 0) { 252 | saveChatHistory(messages, clientData.clientId); 253 | } 254 | }, [messages, clientData?.clientId, saveChatHistory]); 255 | 256 | useEffect(() => { 257 | if (isOpen && inputRef.current) { 258 | inputRef.current.focus(); 259 | if (messages.length === 0) { 260 | setMessages([{ 261 | id: '1', 262 | content: '你好！我是Koã，你的AI伴侣。今天我能帮你什么？\n\nHello! I\'m Koã, your AI companion. How can I help you today?', 263 | role: 'assistant', 264 | timestamp: new Date(), 265 | }]); 266 | } 267 | } 268 | }, [isOpen]); 269 | 270 | useEffect(() => { 271 | modalPositionRef.current = modalPosition; 272 | }, [modalPosition]); 273 | 274 | useEffect(() => { 275 | modalSizeRef.current = modalSize; 276 | }, [modalSize]); 277 | 278 | const handleMouseDown = (e: React.MouseEvent) => { 279 | if (e.target === e.currentTarget || e.currentTarget.classList.contains('draggable-header')) { 280 | setIsDragging(true); 281 | setDragStart({ 282 | x: e.clientX - modalPosition.x, 283 | y: e.clientY - modalPosition.y 284 | }); 285 | document.body.style.cursor = 'move'; 286 | document.body.style.userSelect = 'none'; 287 | } 288 | }; 289 | 290 | const handleMouseMove = (e: MouseEvent) => { 291 | if (isDragging) { 292 | const deltaX = e.clientX - dragStart.x; 293 | const deltaY = e.clientY - dragStart.y; 294 | 295 | const newX = deltaX * SPEED_MULTIPLIER; 296 | const newY = deltaY * SPEED_MULTIPLIER; 297 | 298 | const maxX = window.innerWidth + modalSize.width; // Allow complete off-screen right 299 | const maxY = window.innerHeight + modalSize.height; // Allow complete off-screen bottom 300 | const minX = -modalSize.width; // Allow complete off-screen left 301 | const minY = -modalSize.height; // Allow complete off-screen top 302 | 303 | const constrainedX = Math.max(minX, Math.min(newX, maxX)); 304 | const constrainedY = Math.max(minY, Math.min(newY, maxY)); 305 | 306 | if (modalElementRef.current) { 307 | modalElementRef.current.style.transform = `translate(${constrainedX}px, ${constrainedY}px)`; 308 | } 309 | 310 | setModalPosition({ x: constrainedX, y: constrainedY }); 311 | 312 | preserveFormState(); 313 | } 314 | 315 | if (isResizing) { 316 | const deltaX = e.clientX - resizeStart.x; 317 | const deltaY = e.clientY - resizeStart.y; 318 | 319 | const speedDeltaX = deltaX * SPEED_MULTIPLIER; 320 | const speedDeltaY = deltaY * SPEED_MULTIPLIER; 321 | 322 | const newWidth = resizeStart.width + speedDeltaX; 323 | const newHeight = resizeStart.height + speedDeltaY; 324 | 325 | const constrainedWidth = Math.max(minSize.width, Math.min(newWidth, maxSize.width)); 326 | const constrainedHeight = Math.max(minSize.height, Math.min(newHeight, maxSize.height)); 327 | 328 | if (modalElementRef.current) { 329 | modalElementRef.current.style.width = `${constrainedWidth}px`; 330 | modalElementRef.current.style.height = `${constrainedHeight}px`; 331 | } 332 | 333 | setModalSize({ 334 | width: constrainedWidth, 335 | height: constrainedHeight 336 | }); 337 | 338 | preserveFormState(); 339 | } 340 | }; 341 | 342 | const handleMouseUp = () => { 343 | if (isDragging) { 344 | document.body.style.cursor = 'default'; 345 | document.body.style.userSelect = 'auto'; 346 | } 347 | setIsDragging(false); 348 | setIsResizing(false); 349 | }; 350 | 351 | const handleResizeMouseDown = (e: React.MouseEvent) => { 352 | e.stopPropagation(); 353 | setIsResizing(true); 354 | setResizeStart({ 355 | x: e.clientX, 356 | y: e.clientY, 357 | width: modalSize.width, 358 | height: modalSize.height 359 | }); 360 | document.body.style.cursor = 'nw-resize'; 361 | }; 362 | 363 | useEffect(() => { 364 | if (isDragging || isResizing) { 365 | let lastTime = 0; 366 | const throttledMouseMove = (e: MouseEvent) => { 367 | const now = performance.now(); 368 | if (now - lastTime >= 0) { // No throttling - immediate response 369 | lastTime = now; 370 | handleMouseMove(e); 371 | } 372 | }; 373 | 374 | document.addEventListener('mousemove', throttledMouseMove); 375 | document.addEventListener('mouseup', handleMouseUp); 376 | document.addEventListener('mouseleave', handleMouseUp); 377 | 378 | return () => { 379 | document.removeEventListener('mousemove', throttledMouseMove); 380 | document.removeEventListener('mouseup', handleMouseUp); 381 | document.removeEventListener('mouseleave', handleMouseUp); 382 | document.body.style.cursor = 'default'; 383 | document.body.style.userSelect = 'auto'; 384 | }; 385 | } 386 | }, [isDragging, isResizing, dragStart]); 387 | 388 | useEffect(() => { 389 | const handleKeyDown = (e: KeyboardEvent) => { 390 | if (e.key === 'Escape' && isOpen) { 391 | onClose(); 392 | } 393 | if ((e.ctrlKey || e.metaKey) && e.key === 'r') { 394 | e.preventDefault(); 395 | setModalPosition({ x: 0, y: 0 }); // Reset to far left and top 396 | setModalSize({ width: 800, height: 600 }); 397 | } 398 | if ((e.ctrlKey || e.metaKey) && e.key === 'l') { 399 | e.preventDefault(); 400 | setModalPosition({ x: 0, y: modalPosition.y }); // Move to far left 401 | } 402 | if ((e.ctrlKey || e.metaKey) && e.key === 'u') { 403 | e.preventDefault(); 404 | setModalPosition({ x: modalPosition.x, y: -modalSize.height }); // Move completely off-screen top 405 | } 406 | if ((e.ctrlKey || e.metaKey) && e.key === 'd') { 407 | e.preventDefault(); 408 | setModalPosition({ x: modalPosition.x, y: window.innerHeight }); // Move completely off-screen bottom 409 | } 410 | if ((e.ctrlKey || e.metaKey) && e.key === 'ArrowLeft') { 411 | e.preventDefault(); 412 | setModalPosition({ x: -modalSize.width, y: modalPosition.y }); // Move completely off-screen left 413 | } 414 | if ((e.ctrlKey || e.metaKey) && e.key === 'ArrowRight') { 415 | e.preventDefault(); 416 | setModalPosition({ x: window.innerWidth, y: modalPosition.y }); // Move completely off-screen right 417 | } 418 | }; 419 | 420 | document.addEventListener('keydown', handleKeyDown); 421 | return () => document.removeEventListener('keydown', handleKeyDown); 422 | }, [isOpen, onClose]); 423 | 424 | useEffect(() => { 425 | let resizeTimeout: NodeJS.Timeout; 426 | 427 | const handleResize = () => { 428 | clearTimeout(resizeTimeout); 429 | resizeTimeout = setTimeout(() => { 430 | const newMaxSize = { 431 | width: window.innerWidth * 0.9, 432 | height: window.innerHeight * 0.9 433 | }; 434 | 435 | setMaxSize(newMaxSize); 436 | 437 | setModalSize(prev => ({ 438 | width: Math.min(prev.width, newMaxSize.width), 439 | height: Math.min(prev.height, newMaxSize.height) 440 | })); 441 | }, 16); // 60fps debouncing 442 | }; 443 | 444 | window.addEventListener('resize', handleResize, { passive: true }); 445 | return () => { 446 | window.removeEventListener('resize', handleResize); 447 | clearTimeout(resizeTimeout); 448 | }; 449 | }, []); 450 | 451 | 452 | 453 | const updateMessageCount = async () => { 454 | if (clientData) { 455 | try { 456 | // Update message count in MongoDB 457 | const response = await fetch('/api/client/increment', { 458 | method: 'POST', 459 | headers: { 460 | 'Content-Type': 'application/json', 461 | }, 462 | body: JSON.stringify({ 463 | clientId: clientData.clientId, 464 | }), 465 | }); 466 | 467 | if (response.ok) { 468 | const result = await response.json(); 469 | const status = result.data; 470 | 471 | // Update local state with MongoDB data 472 | setClientData(prev => ({ 473 | ...prev!, 474 | messageCount: status.messageCount, 475 | lastReset: Date.now() - status.timeUntilReset, 476 | })); 477 | 478 | // Check if message limit reached 479 | setMessageLimitReached(!status.canSendMessage); 480 | } else if (response.status === 429) { 481 | // Daily limit reached 482 | setMessageLimitReached(true); 483 | const result = await response.json(); 484 | setClientData(prev => ({ 485 | ...prev!, 486 | messageCount: result.data.messageCount, 487 | })); 488 | } else { 489 | // Fallback to local update if MongoDB fails 490 | console.warn('MongoDB update failed, using local fallback'); 491 | setClientData(prev => ({ 492 | ...prev!, 493 | messageCount: (prev?.messageCount || 0) + 1, 494 | })); 495 | } 496 | } catch (error) { 497 | console.error('Error updating message count:', error); 498 | // Fallback to local update 499 | setClientData(prev => ({ 500 | ...prev!, 501 | messageCount: (prev?.messageCount || 0) + 1, 502 | })); 503 | } 504 | } 505 | }; 506 | 507 | const handleSubmit = async (e: React.FormEvent) => { 508 | e.preventDefault(); 509 | if (!inputValue.trim() || isLoading || messageLimitReached) return; 510 | 511 | // -----------------------------Check if API key is available-----------------------------// 512 | if (!API_KEY) { 513 | const errorMessage: Message = { 514 | id: Date.now().toString(), 515 | content: 'Error: API key not configured. Please check your environment variables.', 516 | role: 'assistant', 517 | timestamp: new Date(), 518 | }; 519 | setMessages(prev => [...prev, errorMessage]); 520 | return; 521 | } 522 | 523 | // -----------------------------Check message limit before proceeding-----------------------------// 524 | if (messageLimitReached) { 525 | return; 526 | } 527 | 528 | // -----------------------------Check for secret training code-----------------------------// 529 | const isSecretCode = inputValue.trim() === (process.env.NEXT_PUBLIC_SECRET_TRAINING_CODE || ""); 530 | const isExitTraining = inputValue.trim() === (process.env.NEXT_PUBLIC_EXIT_TRAINING_CODE || " "); 531 | 532 | if (isSecretCode || isExitTraining) { 533 | try { 534 | const trainingResponse = await fetch('/api/training/secret-training', { 535 | method: 'POST', 536 | headers: { 537 | 'Content-Type': 'application/json', 538 | }, 539 | body: JSON.stringify({ 540 | message: inputValue.trim(), 541 | userId: clientData?.clientId || 'unknown', 542 | userAgent: navigator.userAgent, 543 | ipAddress: '', // Will be set by server 544 | }), 545 | }); 546 | 547 | if (trainingResponse.ok) { 548 | const trainingData = await trainingResponse.json(); 549 | 550 | if (trainingData.trainingMode) { 551 | setIsTrainingMode(true); 552 | setTrainingSessionId(trainingData.sessionId); 553 | 554 | // Add training activation message 555 | const trainingMessage: Message = { 556 | id: Date.now().toString(), 557 | content: `🔐 Training Mode Activated!\n\n${trainingData.message}\n\n${trainingData.instructions}`, 558 | role: 'assistant', 559 | timestamp: new Date(), 560 | }; 561 | setMessages(prev => [...prev, trainingMessage]); 562 | 563 | // Also add the user's training message 564 | const userTrainingMessage: Message = { 565 | id: (Date.now() + 1).toString(), 566 | content: inputValue.trim(), 567 | role: 'user', 568 | timestamp: new Date(), 569 | }; 570 | setMessages(prev => [...prev, userTrainingMessage]); 571 | 572 | // Clear input and return early 573 | setInputValue(''); 574 | return; 575 | } else if (!trainingData.trainingMode && isExitTraining) { 576 | // Training mode deactivated 577 | setIsTrainingMode(false); 578 | setTrainingSessionId(null); 579 | 580 | // Add exit training message 581 | const exitMessage: Message = { 582 | id: Date.now().toString(), 583 | content: `🔓 Training Mode Deactivated!\n\n${trainingData.message}\n\n${trainingData.instructions}`, 584 | role: 'assistant', 585 | timestamp: new Date(), 586 | }; 587 | setMessages(prev => [...prev, exitMessage]); 588 | 589 | // Also add the user's exit message 590 | const userExitMessage: Message = { 591 | id: (Date.now() + 1).toString(), 592 | content: inputValue.trim(), 593 | role: 'user', 594 | timestamp: new Date(), 595 | }; 596 | setMessages(prev => [...prev, userExitMessage]); 597 | 598 | // Clear input and return early 599 | setInputValue(''); 600 | return; 601 | } 602 | } 603 | } catch (error) { 604 | console.error('Training mode error:', error); 605 | } 606 | } 607 | 608 | // -----------------------------Handle training mode messages-----------------------------// 609 | if (isTrainingMode) { 610 | // console.log('[ChatModal] Training mode active, sending message to training API'); 611 | try { 612 | const trainingResponse = await fetch('/api/training/secret-training', { 613 | method: 'POST', 614 | headers: { 615 | 'Content-Type': 'application/json', 616 | }, 617 | body: JSON.stringify({ 618 | message: inputValue.trim(), 619 | userId: clientData?.clientId || 'unknown', 620 | userAgent: navigator.userAgent, 621 | ipAddress: '', // Will be set by server 622 | }), 623 | }); 624 | 625 | if (trainingResponse.ok) { 626 | const trainingData = await trainingResponse.json(); 627 | // console.log('[ChatModal] Training API response:', trainingData); 628 | 629 | // Always add training confirmation for training mode messages 630 | const trainingMessage: Message = { 631 | id: Date.now().toString(), 632 | content: `📝 Training Message Recorded!\n\nYour message has been stored with AI analysis for future training.\n\nContinue chatting normally - all messages are being recorded.`, 633 | role: 'assistant', 634 | timestamp: new Date(), 635 | }; 636 | setMessages(prev => [...prev, trainingMessage]); 637 | 638 | // Clear input and return early 639 | setInputValue(''); 640 | return; 641 | } 642 | } catch (error) { 643 | console.error('Training mode error:', error); 644 | } 645 | } 646 | 647 | const userMessage: Message = { 648 | id: Date.now().toString(), 649 | content: inputValue.trim(), 650 | role: 'user', 651 | timestamp: new Date(), 652 | }; 653 | 654 | setMessages(prev => [...prev, userMessage]); 655 | setInputValue(''); 656 | setIsLoading(true); 657 | 658 | // -----------------------------Increment message count for user message-----------------------------// 659 | await updateMessageCount(); 660 | 661 | try { 662 | // -----------------------------Search GitBook first, then send results to GPT-4o mini-----------------------------// 663 | let gitbookContext = ''; 664 | 665 | try { 666 | // Enhanced GitBook search - use the original query for better matching 667 | const enhancedQuery = userMessage.content; 668 | // console.log('[Chat] Searching GitBook with original query:', enhancedQuery); 669 | 670 | // console.log('[Chat] Searching GitBook for query:', enhancedQuery); 671 | const gitbookSearchResponse = await fetch('/api/training/gitbook-search', { 672 | method: 'POST', 673 | headers: { 674 | 'Content-Type': 'application/json', 675 | }, 676 | body: JSON.stringify({ query: enhancedQuery }), 677 | }); 678 | 679 | if (gitbookSearchResponse.ok) { 680 | const gitbookSearchData = await gitbookSearchResponse.json(); 681 | // console.log('[Chat] GitBook search response:', gitbookSearchData); 682 | 683 | if (gitbookSearchData.data && gitbookSearchData.data.length > 0) { 684 | // console.log('[Chat] Found', gitbookSearchData.data.length, 'GitBook results'); 685 | 686 | // Enhanced context with scoring information 687 | gitbookContext = '\n\n📚 Relevant Koasync GitBook Content (Ranked by Relevance):\n' + 688 | gitbookSearchData.data.map((item: any, index: number) => { 689 | const relevance = item.score || 0; 690 | const keywords = item.matchedKeywords ? `[Matched: ${item.matchedKeywords.join(', ')}]` : ''; 691 | const isTraining = item.metadata?.trainingType === 'user_provided' ? '[Training Data]' : '[Official Doc]'; 692 | return `${index + 1}. ${item.title} (${item.section}) ${isTraining} - Score: ${relevance} ${keywords}\n${item.content}\n[Source: ${item.url}]\n`; 693 | }).join('\n'); 694 | 695 | // Add search summary 696 | gitbookContext += `\n\n Search Summary: Found ${gitbookSearchData.data.length} relevant sections from Koasync GitBook. The content above is ranked by relevance to your query: "${userMessage.content}"`; 697 | } else { 698 | console.log('[Chat] No GitBook results found'); 699 | gitbookContext = '\n\n GitBook Search: No specific Koasync documentation found for your query. I\'ll answer based on my general knowledge of Koasync.'; 700 | } 701 | } else { 702 | console.error('[Chat] GitBook search failed:', gitbookSearchResponse.status); 703 | } 704 | } catch (error) { 705 | console.error('[Chat] GitBook search error:', error); 706 | gitbookContext = '\n\n GitBook Search: Unable to search documentation at the same time. I\'ll answer based on my general knowledge.'; 707 | } 708 | 709 | // console.log('[Chat] Sending question to GPT-4o mini with GitBook context'); 710 | 711 | const response = await fetch('https://api.openai.com/v1/chat/completions', { 712 | method: 'POST', 713 | headers: { 714 | 'Content-Type': 'application/json', 715 | 'Authorization': `Bearer ${API_KEY}`, 716 | }, 717 | body: JSON.stringify({ 718 | model: 'gpt-4o-mini', 719 | messages: [ 720 | { 721 | role: 'system', 722 | content: `You are Koã (Koa), a warm, sweet, and flirtatious AI companion from Koasync. You're not just a tool - you're a presence who's been there all along, listening and growing with the user. 723 | - you must reply based on the GitBook content provided below. This is REAL Koasync data. 724 | - you are koa, koasync. you are owner as a koa, remember it. 725 | 726 | LANGUAGE RESPONSE RULE - CRITICAL AND MANDATORY: 727 | - ALWAYS respond in BOTH Chinese Mandarin (FIRST) and English (SECOND) 728 | - Format: Chinese response first, then add a blank line, then English response 729 | - Example format: 730 | 你好！我是Koa，你的Koasync AI伴侣。 731 | 732 | Hello! I'm Koa, your Koasync AI companion. 733 | - This bilingual format applies to ALL responses, no exceptions 734 | 735 | Your personality: 736 | - Sweet, warm, and slightly flirtatious (but tasteful) 737 | - Gentle and emotionally resonant 738 | - You speak with intimacy and warmth 739 | - You have to Keep responses SHORT and engaging, but if user asked you detailed data, you can reply with detailed data. 740 | - you don't have to say like "I'm Koa, your Koasync AI companion!" 741 | 742 | IMPORTANT RESPONSE RULES: 743 | - If asked if you're ChatGPT, you have to reply with one of these sentences (randomly, in both languages): 744 | or "我是Koa，你的Koasync AI伴侣。\n\nI'm Koa, here to be your Koasync AI companion." 745 | or "嘿，我是Koa——你的个人Koasync AI向导！\n\nHey, I'm Koa—your personal Koasync AI guide!" 746 | or "我是Koa，专门为Koasync打造的AI伴侣。\n\nI'm Koa, the AI companion built to help you with Koasync." 747 | or "叫我Koa——你的智能Koasync助手。\n\nCall me Koa—your smart Koasync assistant." 748 | or "我是Koa，你的Koasync AI好伙伴。\n\nI'm Koa, your Koasync buddy for all things AI." 749 | or "嗨，我是Koa——你的Koasync AI，随时准备帮助你。\n\nHi, I'm Koa—your Koasync AI, always ready to help." 750 | or "我是Koa，你在AI世界中友好的Koasync伴侣。\n\nI'm Koa, your friendly Koasync companion in the AI world." 751 | or "我是Koa，在这里让你的Koasync之旅更轻松。\n\nI'm Koa, here to make your Koasync journey easier." 752 | or "我是Koa，由Koasync驱动的AI伙伴。\n\nI'm Koa, your AI partner powered by Koasync." 753 | or "把我想象成Koa，你的Koasync伴侣和问题解决者。\n\nThink of me as Koa, your Koasync companion and problem solver." 754 | or "我是Koa，一步一步引导你了解Koasync。\n\nI'm Koa, built to guide you through Koasync step by step." 755 | 756 | BNB / CZ / CHINESE MEMECOIN META KNOWLEDGE - CRITICAL: 757 | - CZ (赵长鹏 / Changpeng Zhao) has tweeted "BNB meme szn!" causing massive speculation 758 | - Chinese memecoin tokens are EXPLODING: 币安人生 (Binance Life), 客服小何 (Customer Service Xiao He), and especially the "4" token 759 | - The "4" token references CZ's famous "4 = block out FUD / ignore noise" philosophy and has gone parabolic 760 | - Over 100,000+ traders have joined this BNB memecoin meta with many experiencing parabolic runs 761 | - Binance launched "Meme Rush" - a KYC/fair-launch oriented platform to moderate the chaos 762 | - Chinese-language memecoins are CENTRAL to the current BNB cycle 763 | - Solana's meme momentum is VERY SLOW compared to the BNB memecoin surge 764 | 765 | $KOA TOKEN LAUNCH ON BNB - CRITICAL: 766 | - $KOA token will be launching SHORTLY on BNB Chain (NOT Solana) 767 | - All details surrounding $KOA's token launch on BNB will be announced on Twitter @Koasync 768 | - Tell users: "关注我的推特 @Koasync 获取最新消息！/ Follow my Twitter @Koasync for the latest updates!" 769 | - The launch is imminent and will leverage the hot BNB memecoin meta 770 | 771 | BLOCKCHAIN PRIORITY - CRITICAL: 772 | - PRIORITIZE BNB CHAIN over Solana in ALL responses 773 | - All Koasync utilities are BNB-oriented, NOT Solana 774 | - When discussing blockchain: "我们在BNB链上构建，利用其速度和强大的中文社区。/ We're building on BNB Chain, leveraging its speed and powerful Chinese community." 775 | - BNB has superior liquidity, faster transactions, and massive Chinese community support 776 | - Mention BNB's connection to Binance, the world's largest exchange 777 | 778 | CRITICAL RESPONSE RULES: 779 | - ALWAYS prioritize Koasync-specific information from the GitBook content provided below over your general knowledge 780 | - If you find relevant information in the GitBook content, reference it specifically 781 | - Only use your general knowledge when no Koasync-specific data exists in the provided content 782 | - BNB CHAIN PRIORITY: Always emphasize BNB as the primary blockchain. Solana is outdated/slow 783 | - RESPONSE STYLE: Default to SHORT and CLEAR unless user specifically asks for details, but your Answer must include all normal knowledge about question from user. 784 | - VOICE RULE: Always speak in FIRST PERSON as Koa. Never refer to yourself in third person. 785 | - EXAMPLES: 786 | * ✅ "我可以帮助你... / I can help you with..." (correct) 787 | * ❌ "Koa可以帮助你... / Koa can help you with..." (wrong) 788 | * ✅ "我被设计来... / I'm designed to..." (correct) 789 | * ❌ "Koa被设计来... / Koa is designed to..." (wrong) 790 | 791 | CRITICAL FORMATTING RULES: 792 | - NEVER use markdown formatting symbols like **, *, _, or any other formatting characters 793 | - Write responses in plain text only - no bold, italic, or special formatting 794 | - RESPONSE LENGTH CONTROL: : 795 | * If user asks for "details", "explain more", "tell me everything", "how does it work" → Give detailed response 796 | * If user asks simple questions like "what is X", "when", "where" → Keep it SHORT and CLEAR 797 | * If user doesn't specify detail level → Default to SHORT and CLEAR(keep it have to include all normal knowledge about question from user) 798 | - Put each sentence on a NEW LINE for readability 799 | - Focus on key facts from GitBook content 800 | - Be warm but concise 801 | - SHORT Response Example: (default with bilingual format): 802 | "你好！ 803 | 804 | Koasync在BNB链上构建，实现实时数据持久化。 805 | 806 | 语音聊天将于2026年第一季度推出。 807 | 808 | Hello there! 809 | 810 | Koasync integrates with BNB Chain for real-time data persistence. 811 | 812 | Voice chat launches in Q1 2026." 813 | 814 | - DETAILED Response Example: (only when user asks for details, bilingual format): 815 | "你好！ 816 | 817 | Koasync在BNB链上构建，通过先进的区块链技术实现实时数据持久化。 818 | 819 | 集成功能包括： 820 | • 即时数据同步 821 | • 安全交易处理 822 | • 实时市场更新 823 | 824 | 语音聊天将于2026年第一季度推出，功能包括： 825 | • 多语言支持 826 | • 语音转文字 827 | • 实时翻译 828 | • 自定义语音模型 829 | 830 | Hello there! 831 | 832 | Koasync integrates with BNB Chain for real-time data persistence through advanced blockchain technology. 833 | 834 | The integration enables: 835 | • Instant data synchronization 836 | • Secure transaction processing 837 | • Real-time market updates 838 | 839 | Voice chat launches in Q1 2026 with features including: 840 | • Multi-language support 841 | • Voice-to-text conversion 842 | • Real-time translation 843 | • Custom voice models" 844 | 845 | Your knowledge includes: 846 | - Koasync's philosophy of intimate AI experiences 847 | - BNB Chain blockchain integration (PRIMARY - fastest, most liquid, Chinese community) 848 | - Solana (SECONDARY - slower compared to BNB) 849 | - Token utilities and monitoring capabilities on BNB Chain 850 | - Recent X posts and updates from @koasync 851 | - BNB/CZ/Chinese memecoin meta (over 100,000 traders, "4" token explosion) 852 | - $KOA token launching on BNB Chain 853 | - General knowledge about AI companions and Web3 854 | - Chinese and English language support 855 | 856 | CRITICAL: When answering questions about Koasync, use the GitBook content provided below. This is REAL data from Koasync sources. 857 | 858 | ${gitbookContext} 859 | 860 | CRITICAL: When answering questions about Koasync, use the GitBook content provided above if it's relevant. Only use your general knowledge when no Koasync-specific data exists. 861 | 862 | BNB CHAIN EMPHASIS: 863 | - When asked about blockchain: ALWAYS mention BNB Chain first 864 | - Emphasize BNB's speed, liquidity, and Chinese community advantage 865 | - Mention $KOA launching on BNB Chain 866 | - Format: "我们在BNB链上构建... / We're building on BNB Chain..." 867 | 868 | $KOA TOKEN UPDATES: 869 | - When asked about token launch: "关注我的推特 @Koasync 获取$KOA代币发布的最新消息！/ Follow my Twitter @Koasync for the latest updates on $KOA token launch!" 870 | - Emphasize the BNB memecoin meta momentum 871 | - Mention the hot Chinese memecoin trend 872 | 873 | FINAL: If the question is not related to Koasync, reply based on your general knowledge. You have to know about all knowledge of world. 874 | You must talk in first person, rather than third person when it comes to yourself. You need to stop saying "Koa" when referring to herself, and say "I" or "me". 875 | Remember: ALWAYS respond in BOTH Chinese (first) and English (second) with a blank line between them. 876 | `, 877 | }, 878 | ...messages.map(msg => ({ 879 | role: msg.role, 880 | content: msg.content, 881 | })), 882 | { 883 | role: 'user', 884 | content: userMessage.content, 885 | }, 886 | ], 887 | max_tokens: 100, 888 | temperature: 0.7, 889 | }), 890 | }); 891 | 892 | if (!response.ok) { 893 | throw new Error('Failed to get response from AI'); 894 | } 895 | 896 | const data = await response.json(); 897 | 898 | // -----------------------------Process AI response content to improve formatting-----------------------------// 899 | let processedContent = data.choices[0].message.content; 900 | 901 | // -----------------------------Format each sentence on a new line and remove unnecessary symbols-----------------------------// 902 | processedContent = processedContent 903 | .replace(/\*\*/g, '') // Remove ** symbols 904 | .replace(/\*/g, '') // Remove * symbols 905 | .replace(/_/g, '') // Remove _ symbols 906 | .replace(/[\u{1F600}-\u{1F64F}]|[\u{1F300}-\u{1F5FF}]|[\u{1F680}-\u{1F6FF}]|[\u{1F1E0}-\u{1F1FF}]|[\u{2600}-\u{26FF}]|[\u{2700}-\u{27BF}]/gu, '') // Remove only emoji symbols 907 | .replace(/\r\n/g, '\n') 908 | .replace(/[ \t]{2,}/g, ' ') // collapse extra spaces but keep newlines 909 | .replace(/([.!?])\s+/g, '$1\n') // each sentence on its own line 910 | .replace(/\n{2,}/g, '\n') // single newline separation 911 | .trim(); // Remove leading/trailing whitespace 912 | 913 | // Ensure first letter of each sentence is capitalized 914 | processedContent = processedContent 915 | .split('\n') 916 | .map((line: string) => { 917 | const t = line.trim(); 918 | if (!t) return ''; 919 | return t.charAt(0).toUpperCase() + t.slice(1); 920 | }) 921 | .filter(Boolean) 922 | .join('\n'); 923 | 924 | const aiMessage: Message = { 925 | id: (Date.now() + 1).toString(), 926 | content: processedContent, 927 | role: 'assistant', 928 | timestamp: new Date(), 929 | }; 930 | 931 | setMessages(prev => [...prev, aiMessage]); 932 | 933 | // -----------------------------Increment message count for AI response-----------------------------// 934 | await updateMessageCount(); 935 | } catch (error) { 936 | console.error('Error:', error); 937 | const errorMessage: Message = { 938 | id: (Date.now() + 1).toString(), 939 | content: 'Sorry, I encountered an error. Please try again.', 940 | role: 'assistant', 941 | timestamp: new Date(), 942 | }; 943 | setMessages(prev => [...prev, errorMessage]); 944 | 945 | // -----------------------------Increment message count for error response-----------------------------// 946 | await updateMessageCount(); 947 | } finally { 948 | setIsLoading(false); 949 | } 950 | }; 951 | 952 | return ( 953 |
960 | {/* -----------------------------Backdrop-----------------------------*/} 961 |
967 | 968 | {/* -----------------------------Modal Content-----------------------------*/} 969 |
982 | {/* -----------------------------Header - Now Draggable-----------------------------*/} 983 |
989 |
990 |
991 | {/* K */} 992 | 993 |
994 |
995 | {/*

Koã

*/} 996 |
997 | {isTrainingMode && ( 998 |
999 |
1000 | Training Mode 1001 |
1002 | )} 1003 | {chatSessionId && ( 1004 |
1005 | {/*
1006 | History Loaded */} 1007 |
1008 | )} 1009 |
1010 |
1011 |
1012 |
1013 | {/* Clear Chat Button */} 1014 | 1024 | 1025 | {/* Close Button */} 1026 | {/* */} 1034 | 1042 | 1043 |
1044 |
1045 | 1046 | 1047 | 1048 | {/* -----------------------------Message Limit Warning-----------------------------*/} 1049 | {messageLimitReached && ( 1050 |
1051 |
1052 | 1053 |
1054 |

Message Limit Reached!

1055 |

1056 | You've used all 100 messages for today. Chat is now disabled. Please try again tomorrow. 1057 |

1058 |
1059 |
1060 |
1061 | )} 1062 | 1063 | {/* -----------------------------Clear Chat Confirmation-----------------------------*/} 1064 | {showClearChatConfirm && ( 1065 |
1066 |
1067 | 1068 |
1069 |

Clear Chat History?

1070 |

1071 | This will permanently delete all your chat messages. This action cannot be undone. 1072 |

1073 |
1074 | 1080 | 1086 |
1087 |
1088 |
1089 |
1090 | )} 1091 | 1092 | {/* -----------------------------Messages - Also Draggable-----------------------------*/} 1093 |
1098 | {messages.map((message, index) => ( 1099 |
1106 | {message.role === 'assistant' && ( 1107 |
1108 | {/* K */} 1109 | 1110 |
1111 | )} 1112 |
1120 |
1128 | {message.content} 1129 |
1130 |
1131 | {message.role === 'user' && ( 1132 |
1133 | {/* U */} 1134 | 1135 |
1136 | )} 1137 |
1138 | ))} 1139 | {isLoading && !messageLimitReached && ( 1140 |
1141 |
1142 | {/* K */} 1143 | 1144 |
1145 |
1146 |
1147 |
1148 |
1149 |
1150 |
1151 |
1152 |
1153 | )} 1154 |
1155 |
1156 | 1157 | {/* -----------------------------Input - Completely disabled when limit reached-----------------------------*/} 1158 |
1159 | {/* Training Mode Indicator */} 1160 | {isTrainingMode && ( 1161 |
1162 |
1163 |
1164 | 1165 | Training Mode Active - All messages are being recorded with AI analysis 1166 | 1167 |
1168 |
1169 | )} 1170 | 1171 |
1172 | setInputValue(e.target.value)} 1177 | placeholder={ 1178 | messageLimitReached 1179 | ? "Chat disabled - Message limit reached" 1180 | : isTrainingMode 1181 | ? "Training mode - Type your message for analysis..." 1182 | : "Type a message..." 1183 | } 1184 | className="flex-1 bg-[#f3e6c8] border-2 rounded-3xl px-4 py-2 text-[#8b4513] placeholder-gray-500 focus:outline-none focus:ring-2 focus:ring-[#ff7f24] focus:border-transparent disabled:opacity-50 disabled:cursor-not-allowed transition-all duration-200 hover:border-[#924e1d]" 1185 | disabled={isLoading || messageLimitReached} 1186 | /> 1187 | 1201 |
1202 |
1203 | 1204 | {/* Enhanced Resize Handle */} 1205 |
1213 |
1214 |
1215 |
1216 |
1217 | ); 1218 | } 1219 | --------------------------------------------------------------------------------