Skip to content

ARCHITECTURE.md

Latest commit

 

History

History
42 lines (30 loc) · 1.82 KB

ARCHITECTURE.md

File metadata and controls

42 lines (30 loc) · 1.82 KB

QuantumStack Architecture

This document describes the high-level architecture of QuantumStack, detailing its core components and integrations.

Core Components

1. Backend (Express + TypeScript)

The backend is built with Node.js and Express, written in TypeScript to ensure type safety and maintainability.

  • Controllers: Handle HTTP requests and responses (e.g., AIController, CommunityController).
  • Services: Contain business logic and interact with external APIs (e.g., AIService for OpenAI, CommunityService for Firebase).
  • Middleware: Includes validation, logging, and error handling.

2. Frontend

The frontend is designed to be a modern, responsive web application. It communicates with the backend via RESTful APIs.

3. Data Flow

  1. User interacts with the frontend.
  2. Frontend sends requests to the backend.
  3. Backend processes requests, interacts with OpenAI/Firebase as needed.
  4. Backend returns responses (usually JSON) to the frontend.

Integrations

OpenAI Integration

QuantumStack uses OpenAI's gpt-4o model for community health analysis, event strategy, and community connection.

  • Rate Limiting: Currently managed via standard OpenAI API limits. Future versions will implement internal rate limiting to ensure reliability and cost control.
  • Cost Analysis:
    • Model: gpt-4o
    • Average tokens per request: ~1000-1500 (input + output).
    • Estimated cost per 1000 requests: ~$15-$20 (based on current OpenAI pricing).

Firebase Integration

Firebase is used as the primary data store and authentication provider.

  • Realtime Database/Firestore: Stores community and member data.
  • Authentication: Manages user login and registration.

Deployment

  • Frontend: Deployed on Vercel.
  • Backend: Deployed on Google Cloud Functions/App Engine or Firebase Functions.