Unverified50% confidenceSolutionExact time
The author handled the empty-answer problem by having the Agent actively ask the model to continue generating, and triggering a retry if that still fails.
1
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50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
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Related Claims
UnverifiedWhen an Agent is designed to run autonomously over the long term, absence of feedback is the norm rather than the exception; how to keep it from collapsing in silence, falling into meaningless loops, or producing harmful behavior is a question engineering must answer.72% similarUnverifiedWhen testing agents, failure cases should be deliberately included; an agent that only passes on demo requests is not yet ready for real workflows71% similarUnverified建议作者建议使用者不要完全依赖系统给出的建议消息，应保持主动提问习惯，尤其在处理模型可能回答不好的棘手问题时70% similarUnverifiedReasoning-type models exhibit a typical failure mode in Agent scenarios: reasoning loops and action starvation, where the model continuously generates text about execution but never truly triggers tool calls.70% similarUnverifiedIn its best-practices document for Agent design, Anthropic recommends that a tool's error response should include sufficient context to enable the model to self-correct without re-querying the user.70% similar
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