Unverified50% confidenceFactExact time
The agent loop refers to the recurring cycle of calling the LLM, parsing the output, determining tool calls, invoking tools, appending results back to the message history, and calling the LLM again
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50%
Confidence
Long-term
Relevance
10/9/2026
First Seen
Sources
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Related Claims
Unverified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80% similarUnverifiedAgentic Loop的技术基础是大语言模型的工具调用（Tool Use/Function Calling）能力80% similarUnverifiedThe 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.79% similarVerifiedThe underlying operational logic of an Agent Loop is an iterative cycle of 'perception–planning–action–observation.'78% similarUnverifiedAn Agent node can actively call mounted tools and process the returned results before continuing reasoning, which is the key distinction from a regular LLM API call (which only inputs text and returns text).78% similar
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