Unverified50% confidenceFactExact time
The core of the framework is a "Think—Act—Observe—Update—Continue" loop mechanism, and it adopts lightweight JSON encoding to organize scenario data.
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50%
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Long-term
Relevance
10/12/2026
First Seen
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Related Claims
VerifiedThe basic principle of tool calling is that the model identifies scenarios requiring external capabilities, outputs a structured function call request (usually in JSON format), and after the external system executes it, the result is returned to the model to continue reasoning.70% similarUnverifiedContext engineering emphasizes that a model is merely an inference engine, and its output is highly dependent on the content, structure, and timing of the information placed in the inference window.68% similarUnverifiedAgent architecture forms such as ReAct, AutoGen, and LangGraph formalize the perception-reasoning-action loop, allowing the LLM to focus on planning and orchestration.66% similarUnverifiedAsyncReasoning introduces asynchronous concepts into the inference process, allowing the model's thinking to be interrupted, inserted into, and reorganized by external events.66% similar
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