Partially Verified65% confidenceDecision RuleExact time
Agent loops must have termination conditions; control measures include maximum steps, deadlines, token and cost budgets, tool execution timeouts, retry limits, cancellation mechanisms, and progress checks.
3
Sources
65%
Confidence
Long-term
Relevance
10/11/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedCommon termination strategies for Agent Loop include three layers: semantic termination (such as detecting the Final Answer marker), an iteration limit (max_iterations typically defaults to 10–15), and timeout protection (the timeout parameter).80% similarUnverifiedA turn limit and a budget should be set for the Agent loop to prevent it from getting stuck in an infinite loop and to avoid runaway costs.78% similarUnverifiedAgent Loop的终止条件通常是LLM不再产生工具调用请求，或达到最大步骤限制（max_iterations）76% similarUnverifiedThe three common termination conditions for an agent loop are: the model gives a response that no longer calls any tool, the step limit is reached, or human approval is awaited.75% similarUnverifiedThe core challenges of the Agent Loop include preventing runaway loops (by setting a maximum number of steps), handling error recovery from failed tool calls, and maintaining reasoning quality without degradation over long contexts.74% similar
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