As artificial intelligence (AI) technology continues to advance, businesses are beginning to explore whether to rely on a single AI agent or to build a multi-agent network that encompasses a broader range of functions. Recently, the orchestration framework company LangChain conducted related experiments aimed at exploring the performance limits of AI agents when faced with an overload of instructions and tools. LangChain detailed its experimental process in a blog, focusing on the central question: 'What happens when a ReAct agent is asked to handle...