Unverified50% confidenceTradeoffExact time
Overly lenient stopping conditions cause agents to continue ineffective iterations on sufficiently good results, wasting computing resources, while overly strict conditions may cause the loop to never terminate.
1
Sources
50%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
Related Claims
Unverified终止条件设计不当会导致无限循环（反复调用工具无法收敛）或过早终止（信息不足时就回复）两类故障76% similarUnverified对于智能体类应用，长时间稳定运行比运行速度更重要，因中断会导致缓存状态丢失和任务失败76% similarUnverifiedExcessively frequent human intervention eliminates the efficiency advantages of automation, while an overly lenient approval scope fails to effectively prevent and control risks — this is the trade-off in HITL granularity design76% similarUnverifiedAs model capabilities improve, too many constraints and prompts waste the context budget and cause prompt drift, and reducing constraints actually works better.74% similarUnverifiedStopping 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.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/591494API
curl https://kongchang.com/api/v1/knowledge/claims/591494MCP
get_claim(id=591494)