AI Agent Architecture — ReAct, Memory, Planning and Multi-Agent Systems · Tool-Augmented LLM — Tools, Functions and the Environment

Dispatcher — Parsing LLM Output and a Safe Tool Registry

Tool-Augmented LLM — Tools, Functions and the Environment

Introduction

The LLM generates a tool call as text (JSON or another format) — something must parse it, validate arguments, locate the correct function in a registry, and execute it safely. That component is the dispatcher. This lesson analyses the dispatcher anatomy: the LLM output parser, tool registry, argument validation via JSON schema, execution isolation, and error handling — all in an architecture that prevents hallucinated calls and unauthorised operations.