Unverified60% confidenceFactExact time
Agent的Planning模块通常基于思维链CoT或ReAct等推理框架实现
2
Sources
60%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
AI Agent入门：原理、框架与企业级智能体搭建指南
bilibili大模型喂饭级教程7/11/2026
Related Claims
VerifiedAgent的实现通常通过ReAct（Reasoning + Acting）框架来实现规划能力83% similarUnverifiedAgent类工具的技术本质是基于LLM的自主决策循环，即ReAct框架（推理→行动→观察→再推理）81% similarUnverifiedStrands Agents 的核心设计借鉴了 ReAct（Reasoning + Acting）范式，让大模型在推理过程中交替进行思考与工具调用79% similarVerifiedAgent 的核心架构通常由「感知-推理-行动」循环构成78% similarUnverifiedReAct 的 Thought / Action / Observation 三段式结构至今仍是主流 Agent Prompt 的设计模板77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/489724API
curl https://kongchang.com/api/v1/knowledge/claims/489724MCP
get_claim(id=489724)