Unverified50% confidenceSolutionExact time
The engineering solution to stopping conditions has two layers: runtime-layer hard constraints (maximum steps, maximum token budget, timeout) and task-layer soft constraints (writing the completion state as a decidable predicate).
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10/24/2026
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UnverifiedStopping conditions for the agent loop include a maximum number of reasoning iterations, time limits, token budget, tool call failure, confidence threshold, and explicit human approval.75% 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.75% similarUnverified建议在Loop的停止条件中明确设置「最大迭代轮次」上限,防止失控循环持续消耗预算75% similarUnverified在实践中优先明确约束与停止条件这两个负向维度,比精心描述正向目标更能快速压制冗余输出74% similarUnverifiedStopping condition design typically involves trade-offs among three categories: performance thresholds, diminishing returns detection, and hard resource limits, and mature systems often introduce multiple mechanisms simultaneously with different priority levels assigned.73% similar
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