Smart AI Chat Assistant built with Nuxt, TypeScript & OpenAI Assistants API

Denys ChatBot is a lightweight and customizable AI chat application built with Nuxt 3 + TypeScript and powered by the OpenAI Assistants API.
It’s designed for scenarios where the chatbot should respond only based on specific, provided information — such as uploaded documents, text files, or structured data.

Perfect for:

• 🧭 Customer Support — bots that answer based on company documentation
• 💼 Internal Knowledge Bases — assistants for employees and internal tools
• 👤 Personal Portfolio Assistants — bots that represent you and your projects
• 🧪 Domain-Specific Experts — assistants for IT, education, healthcare, law, and more

• 📂 File-based Knowledge — the bot responds only using uploaded content (PDF, TXT, MD, etc.)
• 🗣️ Context-Aware Responses — accurate and relevant answers using local context
• 💬 Responsive Chat UI — modern and clean Nuxt 3 interface
• 🧩 Plug & Play Architecture — easily integrates into any project
• 🔐 Secure API Layer — communication via OpenAI Assistants API
• 🌍 Multi-Purpose Use — adaptable to any business or personal use case

• Frontend: Nuxt 3, TypeScript, Tailwind CSS
• Backend: OpenAI Assistants API
• Environment: dotenv (.env.local)
• Deployment: Vercel / Node-compatible hosting

graph TD
A[User] -->|Types a message| B[Nuxt Chat UI]
B -->|Sends request| C[/Server API Route/]
C -->|Calls| D[OpenAI Assistants API]
D -->|Retrieves context from uploaded file| E[Knowledge Base]
E -->|Generates accurate reply| F[Chat Response]
F -->|Returns message| B

1. The user sends a message through the chat interface.
2. The frontend (Nuxt) sends a request to a server API route.
3. The API route communicates with the OpenAI Assistants API, passing the context from the uploaded file.
4. The assistant searches only within the file’s content (knowledge base).
5. A precise answer is generated and returned to the chat interface.

git clone [email protected]:SEDENYS/denys-chatbot.git
cd denys-chatbot

npm install

Create a .env.local file in the project root and add:

OPENAI_API_KEY=your_api_key_here

npm run dev

👉 http://localhost:3000

• 🧠 Support multiple files as a knowledge base
• 🔄 Add conversation memory across sessions
• 🪄 Custom UI themes (dark/light/system)
• 🎙️ Voice input & speech output integration
• 📊 Admin dashboard for analytics and usage tracking

MIT © 2025 — Denys ChatBot