Unverified60% confidenceFactExact time
OpenAI's Function Calling, Anthropic's Tool Use, and the ReAct framework have moved LLM-driven agents from academic concepts into engineering practice.
2
Sources
60%
Confidence
Long-term
Relevance
7/19/2026
First Seen
Sources
扣子Coze深度解析：多Agent协作平台功能与使用指南
Related Claims
Unverified2023年以来，随着OpenAI的Function Calling、LangChain等框架的普及，Agent概念从学术走向产品化80% similarUnverifiedThe ReAct framework influenced subsequent Agent engineering frameworks including LangChain's AgentExecutor, AutoGPT's task loop, and OpenAI's Assistants API.77% similarUnverifiedThe core design philosophy of AI programming tools such as Devin, OpenHands, and SWE-Agent is based on the ReAct (Reasoning + Acting) paradigm.77% similarUnverifiedOpenClaw的Agent架构分为感知层（语义理解和意图识别）、决策层（核心调度引擎）和执行层（Skills运行环境）三层75% similar
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