How I Built a Multi-LLM AI Agent System for Hospital Management When your LLM provider goes down, the hospital can't wait. Here's how I designed a system that never stops. Every AI demo you see on Twitter works with one LLM provider. But what happens when that provider hits rate limits at 8 AM — exactly when your hospital staff needs their morning revenue report? I learned this the hard way. After my AI agent failed three mornings in a row because OpenRouter was rate-limited, I rebuilt the entire system from scratch. Today, HISDashboard runs 10 specialized AI agents across 4 LLM providers with automatic fallback — and it hasn't missed a morning report in months. Here's the architecture that made it possible. 1. The Problem: One Agent Can't Do Everything My first attempt was simple: one ReAct agent, one LLM, all tools loaded.…