#agents

A single, one-shot LLM call that produces its output directly — no turns, no tool use, no observation loop. Less a formal architecture than a useful counterpoint to the ReAct agent: where ReAct interleaves reasoning and action over many ste…

An agent pattern that interleaves reasoning and acting: the model alternates between natural-language 'thoughts' (reasoning traces) and actions (tool calls, queries), feeding each observation back into the next reasoning step. Introduced by…