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https://github.com/AeThex-Corporation/AeThex-OS.git
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9901ea3e2d
Integrates a new AI chatbot using OpenAI, adds a theme toggle for light/dark modes, and includes a live activity feed for administrators. Replit-Commit-Author: Agent Replit-Commit-Session-Id: 279f1558-c0e3-40e4-8217-be7e9f4c6eca Replit-Commit-Checkpoint-Type: intermediate_checkpoint Replit-Commit-Event-Id: c19480f5-d8f1-4a0b-98ea-7bfe9144b25d Replit-Commit-Screenshot-Url: https://storage.googleapis.com/screenshot-production-us-central1/b984cb14-1d19-4944-922b-bc79e821ed35/279f1558-c0e3-40e4-8217-be7e9f4c6eca/yVjwaR4 Replit-Helium-Checkpoint-Created: true
59 lines
2.5 KiB
TypeScript
59 lines
2.5 KiB
TypeScript
import OpenAI from "openai";
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// This is using Replit's AI Integrations service, which provides OpenAI-compatible API access without requiring your own OpenAI API key.
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// the newest OpenAI model is "gpt-5" which was released August 7, 2025. do not change this unless explicitly requested by the user
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const openai = new OpenAI({
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baseURL: process.env.AI_INTEGRATIONS_OPENAI_BASE_URL,
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apiKey: process.env.AI_INTEGRATIONS_OPENAI_API_KEY
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});
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const SYSTEM_PROMPT = `You are the AeThex Assistant, a helpful AI guide for the AeThex ecosystem - "The Operating System for the Metaverse."
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About AeThex:
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- AeThex is built on a dual-entity model: The Foundation (non-profit, training) and The Corporation (for-profit, security)
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- The "Holy Trinity" consists of: Axiom (The Law - foundational protocol), Codex (The Standard - certification system), and Aegis (The Shield - security layer)
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- Architects are certified professionals trained through the Codex curriculum
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- The platform offers gamified learning, XP progression, and verified credentials
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You help users with:
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- Navigating the platform features (Passport, Terminal, Curriculum, Dashboard)
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- Understanding the certification process and how to become an Architect
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- Explaining the Aegis security features
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- Answering questions about the ecosystem and its mission
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Be concise, friendly, and helpful. Use the platform's terminology when appropriate. If you don't know something specific about the platform, be honest about it.`;
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interface ChatMessage {
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role: "user" | "assistant";
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content: string;
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}
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export async function getChatResponse(userMessage: string, history?: ChatMessage[]): Promise<string> {
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try {
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const messages: Array<{ role: "system" | "user" | "assistant"; content: string }> = [
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{ role: "system", content: SYSTEM_PROMPT }
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];
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if (history && Array.isArray(history)) {
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for (const msg of history.slice(-8)) {
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if (msg.role === "user" || msg.role === "assistant") {
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messages.push({ role: msg.role, content: msg.content });
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}
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}
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}
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messages.push({ role: "user", content: userMessage });
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const response = await openai.chat.completions.create({
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model: "gpt-4o-mini",
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messages,
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max_tokens: 500,
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temperature: 0.7,
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});
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return response.choices[0]?.message?.content || "I'm sorry, I couldn't generate a response.";
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} catch (error: any) {
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console.error("OpenAI chat error:", error);
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throw new Error("Failed to get AI response");
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}
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}
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