Blueprint for Production-Grade Agentic AI Systems

A senior architect outlines key components for scaling LLM-based agents from prototypes to production, including dynamic model routing, memory management, and observability. The article emphasizes moving from prompt engineering to system engineering to handle latency, cost, and security challenges. It provides a detailed architecture with guardrails, orchestration engines, and tool execution registries.