AI Support Pipeline — Band Agents

AI Customer Support Pipeline is a multi-agent system built for the Band of Agents Hackathon. It uses 4 specialized AI agents that collaborate through Band to handle customer support queries end-to-end. How it works: A user types a support question. The Classifier Agent reads it and identifies the category (billing, technical, account, or general) and priority level. It posts this structured context to a Band chat room. The Resolver Agent picks up that context from Band, searches the knowledge base, and uses Groq LLaMA 3.1 to generate a factual answer. It posts the raw answer back to Band. The Responder Agent reads the answer from Band and formats it into a warm, professional customer support reply. Finally, the Escalation Agent checks if the issue needs human intervention based on category and priority, and flags it accordingly. Every agent communicates exclusively through Band — Band is the actual handoff layer, not just a wrapper. Each agent reads from and writes to a shared Band chat room, creating a true multi-agent collaboration pipeline. Tech Stack: - Band SDK for agent coordination - FastAPI for the backend API - Groq LLaMA 3.1 (free tier) for AI reasoning - HTML, CSS, JavaScript for the frontend chat UI - HuggingFace Spaces for backend deployment - Vercel for frontend deployment Use Case: This targets Track 1 — Internal Enterprise Workflows. Customer support automation is one of the most high-value enterprise applications, saving companies thousands of hours annually while improving response quality and consistency. The system is fully deployed and live, with a working demo showing real-time agent collaboration through Band.