🤖 Chatbot Scalable Infrastructure

A production-grade, cost-aware, multi-agent chatbot platform built with:

• Node.js + Express + TypeScript
• Redis, Supabase (pgvector), BullMQ
• Railway CI/CD + Scaling + Metrics
• OpenAI GPT + Token Optimization

🚀 Features

✅ Modular Architecture (agents, routes, services)
✅ Multi-Agent Support (support, sales, etc.)
✅ Semantic Memory via Supabase pgvector
✅ Redis Caching + Rate Limiting
✅ BullMQ Job Queues & Workers
✅ Prometheus Metrics + Winston Logging
✅ Adaptive Model Usage & Token Forecasting
✅ Railway-ready Deployment Templates
✅ Future Samples: Autonomous Loops, Multimodal Input, Agent Collaboration

📂 Folder Structure

chatbot-scalable-infra/
├── agents/              # Agent logic (support, sales)
├── services/            # OpenAI, memory, Redis, adaptive logic
├── routes/              # API endpoints
├── queue/               # BullMQ queue
├── workers/             # Background job processors
├── utils/               # Logger, alerts, token tracker
├── metrics/             # Prometheus metrics
├── scripts/             # Cost dashboards, token usage
├── samples/             # Future agent/LLM patterns
├── .env.example         # Env var template
├── README.md

📈 Future Directions

Explore samples in /samples for:

• Autonomous agent loops
• Multi-agent coordination
• Multimodal interfaces (vision, voice)
• Function calling & API integration
• Personalized replies

🔗 Deployment

Easily deploy using Railway:

🧠 Inspiration

This project is based on the “Scaling Chatbots” blog article series by Darshan Jitendra Chobarkar.