Verified65% confidenceFactExact time
If an agent loop has no clear exit condition, it may retry indefinitely or stop prematurely due to mistakenly judging that it has completed, and common practices are to set a maximum step limit, a maximum token or time budget, and explicit success determination conditions.
3
Sources
65%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
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Related Claims
UnverifiedAgent的循环终止有两种条件：正常终止（信息足够回答问题）和异常终止（大模型重复思考约三次后仍找不到合适工具）80% similarUnverifiedIn LLM Agent scenarios, exponential backoff must be paired with a maximum retry limit and a total timeout budget; otherwise persistently failing tasks may still occupy tokens and compute resources for a long time.79% 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.76% similarUnverifiedDecision rule: unblock first, then review completed work, and among blocked Agents handle the one that has been waiting longest first, to minimize worst-case waiting time.75% similarUnverifiedThe number of Agent self-correction loop iterations should be capped (typically 3–5 times) to avoid falling into an infinite repair loop.75% similar
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