Agent Architecture in AI Agents

Lessons in this section

1. System Architecture

   The parts inside an agent program: the perception-action cycle, the runtime, inference engine, tool registry and state store, and the input, reasoning, execution and monitoring layers.

2. State Machines

   The named states an agent moves through, the rules for moving between them, how to check a run for illegal moves, how to recover from failure, and how to see it all.

3. Agent Configuration

   How to give an agent a role, a scope, rules and an output standard, how to design forbidden actions and escalation paths, and how to write clear instructions that hold up against edge cases.