Unverified60% confidenceFactTime unknown
The project uses an Agent loop (ReAct architecture) to allow the LLM to autonomously determine the next action based on the current page state, rather than executing pre-set scripts.
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60%
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Long-term
Relevance
5/31/2026
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Related Claims
UnverifiedThe Loop architecture is often referred to as the ReAct (Reasoning + Acting) or Plan-and-Execute framework, where the model outputs the next action based on the current context at each step and feeds the result back into the model.72% similarUnverifiedContext engineering is the systematic design and optimization of the contextual information fed to an LLM, enabling the model to obtain the most relevant information within a limited context window to complete a task.71% similarUnverifiedTool Calling allows an LLM to decide, during response generation, to invoke predefined external functions or APIs and incorporate the results into subsequent reasoning.71% similarUnverifiedIn workflow mode, each step's operation is determined by a code path pre-orchestrated by the developer, and the model only executes specific subtasks at fixed nodes; in agent mode, the decision of "what to do next" is handed to the model.70% similarUnverifiedMost Agent frameworks treat every decision as a text generation problem—formatting a prompt, calling a generative LLM, and waiting for tokens to be returned.70% similar
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