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%
Confidence
Long-term
Relevance
9/5/2026
First Seen
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Related Claims
UnverifiedAgent tasks often require maintaining context windows of tens of thousands to hundreds of thousands of tokens, which differs by orders of magnitude in resource consumption from the low-latency single-inference mode of ordinary code completion.77% similarUnverifiedCompleting a complex task in an agent application often requires multiple rounds of reasoning and invocation, with each step generating token consumption73% similarUnverifiedNarrowing the scope of a single task helps agents maintain consistency within a limited context, a principle that is directly aligned with the Single Responsibility Principle in software engineering.72% 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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