Verified75% confidenceFactExact time
Multi-turn conversation configuration addresses the context memory problem, determining how many rounds of historical information an agent can retain during continuous dialogue.
3
Sources
75%
Confidence
Long-term
Relevance
9/29/2026
First Seen
Sources
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Related Claims
UnverifiedEvery round of calls sends the complete conversation history again, so the longer the task, the larger the context, and the slower and more expensive the calls become.76% similarUnverifiedThe long-session mechanism allows agents to retain full context state while continuing to work.76% similarUnverifiedThe multi-turn dialogue query preprocessing pipeline includes sub-tasks such as coreference resolution, ellipsis recovery, intent recognition, and multi-intent decomposition.75% similarUnverified持久化记忆指AI系统在多次会话或任务执行之间保留上下文信息的能力75% similarUnverified在多轮Agent对话中，每轮都需携带完整上下文，越往后的轮次Token消耗越高74% similar
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