Verified65% confidenceFactTime unknown
The execution path of an AI Agent is dynamically determined by the LLM at runtime, and the same input may trigger entirely different tool-call sequences at different moments.
3
Sources
65%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedAI Agent基于ReAct(Reasoning + Acting)等框架,能够将复杂任务分解为多个子步骤,自主决定何时调用外部工具79% similarUnverifiedAn agent's behavioral path is generated in real time by the LLM, and the same user request may produce entirely different tool-call sequences, making it difficult for static permission configurations to cover all scenarios.78% similarVerifiedAI Agents add a perception-reasoning-action loop on top of LLMs, and are capable of calling external tools such as calendar APIs, email clients, and document editors to complete operations.77% similarUnverifiedTraditional LLMs operate in a passive 'one question, one answer' mode, whereas AI Agents possess proactive closed-loop execution capabilities.76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/8089API
curl https://kongchang.com/api/v1/knowledge/claims/8089MCP
get_claim(id=8089)