Dec 30, 2025 · Artificial Intelligence

LLM Agent Fundamentals: ReAct Reasoning-Action Loop & Tool Calling Evolution

This article introduces the ReAct paradigm for LLM-based agents, detailing its reasoning-action-observation loop with a hands-on example, and traces the evolution of tool-use from prompt-defined tools to trained models like Toolformer and standardized APIs like OpenAI Function Calling.

AI engineeringAgent ParadigmFunction Calling

0 likes · 14 min read

LLM Agent Fundamentals: ReAct Reasoning-Action Loop & Tool Calling Evolution

Smart Era Software Development

Mar 29, 2025 · Artificial Intelligence

40+ Diagrams Uncover LLM Agents’ Core Components, Multi‑Agent Frameworks, and MCP Stack

This article breaks down the essential building blocks of LLM agents—including environment, sensors, effectors, short‑ and long‑term memory, tools, planning, and reasoning—while illustrating how Model Context Protocol (MCP), Toolformer, ReAct, Reflexion, and popular multi‑agent frameworks such as AutoGen, MetaGPT and CAMEL enable scalable, collaborative AI systems.

LLM agentsMemoryModel Context Protocol

0 likes · 11 min read

40+ Diagrams Uncover LLM Agents’ Core Components, Multi‑Agent Frameworks, and MCP Stack