Unverified50% confidenceFactExact time
An agent's action capability relies on the reasoning and function calling mechanisms of large language models.
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50%
Confidence
Long-term
Relevance
10/27/2026
First Seen
Sources
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Related Claims
UnverifiedWhen making decisions, an agent generates plans and possesses planning and memory capabilities, whereas in Function Calling the model inference only decides whether to call a function, with no planning or memory by default.79% similarVerifiedThe tool-calling mechanism allows large language models to dynamically invoke external functions during inference, representing a fundamental leap from language models to action models.77% similarUnverifiedLLM-based agents lack persistent deterministic state when performing complex tasks, requiring multiple rounds of dialogue to clarify goals, fill in context, and verify intermediate results75% similarUnverifiedThe decision-making brain of an agent operates based on the reasoning capabilities of large language models (LLMs), with GPT, DeepSeek, and Tongyi belonging to this category.75% similarUnverifiedFunction Calling采用关注点分离设计，语言模型只负责决策，真正的工具执行由应用层代码负责，模型不直接触碰外部系统74% similar
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