Building reliable AI agents

This post details the four-layer architecture of AI agents (cognitive, tool interaction, oversight, orchestration) and outlines best practices for building and deploying them in production. It emphasizes modular deployments with independent scaling per component, heterogeneous hardware support, fault isolation, latency-aware routing, and observability. The post highlights Baseten's capabilities in enabling modular deployment for agentic workloads and mentions integration with Patronus AI's Percival debugger for production agent failure analysis.