Unverified50% confidenceFactExact time
Agentic Workflows的底层技术基础包括ReAct框架、Chain-of-Thought提示工程以及Tool Use/Function Calling接口
1
Sources
50%
Confidence
Long-term
Relevance
7/23/2026
First Seen
Sources
GPT-5.6 Released: How Multi-Agent Workflows Are Ending the Chat Box Era
bilibili吃人的代码7/11/2026
Related Claims
UnverifiedAgent Workflow technically relies on the ReAct framework, Function Calling, and multi-agent collaboration mechanisms.81% similarUnverifiedThe technical architecture of an Agentic Workflow typically includes a large language model as reasoning engine, function calling interfaces, memory modules, and a planning module79% similarUnverifiedMainstream Agent architectures currently include ReAct (Reasoning + Acting), Plan-and-Execute, and state machine-based workflow architectures.79% similarUnverifiedThe Agent's workflow can be summarized as: receive user instructions → decompose complex tasks into multiple sub-steps → sequentially invoke corresponding tools to execute → aggregate results and output.77% similarUnverifiedAgentic Loop的技术基础是大语言模型的工具调用（Tool Use/Function Calling）能力76% similar
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