Unverified50% confidenceDecision RuleExact time
Setting a max_tokens cap is necessary engineering discipline; agent loops plus runaway output length are among the most common sources of cost incidents.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedSetting Maximum Iteration too high may waste cost (tokens), while setting it too low may truncate the task before completion; it is a key parameter that requires trade-offs in Agent tuning.76% similarUnverifiedThe core bottleneck of long-horizon Agent evaluation is the cost of writing the specification (world specification) required for dense scoring, not the running cost of dense scoring itself.71% similarUnverifiedThere is a trade-off in step limits: setting them too low will forcibly interrupt complex tasks, while setting them too high wastes compute and amplifies error accumulation; in practice, a global step cap is often combined with local caps for subtasks, and when the limit is exceeded, a fallback is triggered or the task is handed over to a human.71% similarUnverified在调用付费API的脚本中应加入速率限制、设置最大调用次数硬上限、完善错误重试逻辑并部署费用监控告警69% similarUnverifiedExcessively long agent reasoning chains can lead to error accumulation, so engineering practices typically incorporate safety mechanisms such as maximum loop counts and manual confirmation at key nodes.68% similar
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