Unverified50% confidenceFactExact time
In agentic scenarios, an Agent often initiates multiple rounds of model calls within a single user request, with each round carrying an increasingly longer context, causing costs to grow nonlinearly with conversation depth.
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50%
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Long-term
Relevance
10/8/2026
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Related Claims
UnverifiedAgent型任务采用ReAct的思考-行动-观察循环，单个用户任务可能触发数十次乃至上百次模型调用，使计算开销呈非线性增长79% similarUnverifiedIn Agent workflows, each file the model reads fills the context window further, and every subsequent inference must carry an ever-growing context, causing costs to grow nonlinearly.78% similarUnverifiedIn Agent scenarios, each tool call requires the full context to be re-input into the model, causing token consumption to grow exponentially.77% similarVerifiedEach Agent run incurs actual API call costs, and as the scale of evaluation use cases grows and retries accumulate, costs can mount rapidly.77% similar
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