Unverified50% confidenceFactExact time
When tool results are deliberately not written back into the conversation, the model makes the same request at every step at temperature 0, and the loop repeats until it reaches the maximum step limit and only then terminates; the step limit is the only reason it stops.
1
Sources
50%
Confidence
Long-term
Relevance
11/1/2026
First Seen
Sources
The Essence of AI Agents: Building a ReAct Loop in 50 Lines of Code
youtubeTrapture Explains10/29/2026
Related Entities
Related Claims
UnverifiedUnder temperature=0 (greedy decoding) conditions, multiple runs of a coding agent on the same SWE-bench task still lead to different final states, meaning full reproducibility cannot be achieved.74% similarUnverifiedSetting the resume limit to two times and exiting with a non-zero status prevents the model from falling into a loop during repeated continuations or producing completions inconsistent with the original answer.74% similarUnverifiedEach model call receives only the remaining time rather than a fixed timeout, to avoid slow responses causing the job to exceed the timeout limit and the run being unable to report back.74% similarUnverifiedGreedy decoding at temperature zero further suppresses the probability of a model outputting ESCALATE, because models tend to select the answer pattern that appeared most frequently during training, and escalation is inherently rare in instruction fine-tuning data.73% similarUnverified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73% similar
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