Unverified50% confidenceSolutionExact time
Strategies for controlling Agent token consumption include setting a per-task token limit, using more economical small models for simple subtasks, and summarizing and compressing tool return results.
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50%
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Long-term
Relevance
9/5/2026
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UnverifiedAgent 任务往往需要维持数万乃至数十万 token 的上下文窗口,与普通代码补全的单次推理低延迟模式在资源消耗上存在数量级差异77% similarUnverifiedCompleting a complex task in an agent application often requires multiple rounds of reasoning and invocation, with each step generating token consumption73% similarUnverifiedAgent Skill adopts a lazy-loading mechanism whereby the Agent first reads only the metadata (name and description) of each Skill and loads the full instructions only after matching the user's need, so having multiple Skills coexisting does not increase Token consumption71% similarUnverified多 Agent 编排通过给每个子 Agent 独立上下文窗口和支持并发执行来突破单一模型瓶颈,但会成倍放大 Token 消耗并增加系统复杂度71% similar
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