The article explains how LLMs execute function calling by generating structured tokens that trigger external API invocations, using a weather comparison example where the model calls a weather API twice in a single turn. It details the end-to-end flow from token prediction to tool orchestration, illustrating how models decide which functions to call and how to sequence them. The piece is cross-posted from the author's blog with a canonical link.