Unverified50% confidenceFactExact time
The agentic working mode typically relies on a tool-use loop in its technical implementation, where the LLM can call external tools such as file read/write, command-line execution, and test running, and dynamically adjusts based on the results.
1
Sources
50%
Confidence
Long-term
Relevance
9/20/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAgentic Loop的技术基础是大语言模型的工具调用(Tool Use/Function Calling)能力79% similarUnverifiedThe Agent Runtime encapsulates the complete Reason-Action main loop, including assembling messages, calling the LLM, determining tool usage, executing tools, and returning responses.77% similarUnverified现代LLM Agent的核心逻辑可归结为一个循环:接收目标、调用LLM、解析输出、执行工具、重复迭代75% similarUnverified科研自动化 Agent 通常基于 LLM 的工具调用与任务规划能力,结合代码执行沙箱、文件系统访问、学术检索及 GitHub/Hugging Face API 等外部工具,形成感知-规划-执行-反馈的闭环74% similarUnverifiedAgentic 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74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/936628API
curl https://kongchang.com/api/v1/knowledge/claims/936628MCP
get_claim(id=936628)