Unverified50% confidenceFactExact time
随着对话轮次增加，每轮需携带完整历史上下文，输入token数量持续膨胀，导致推理时间呈现非线性增长
1
Sources
50%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
生产级AI Agent迁移GPT-5.6实战：提速2.2倍、降本27%的工程经验
Related Claims
UnverifiedThe KV Cache, which grows dynamically during inference, continuously occupies VRAM and may suddenly trigger an OOM crash during long conversations.77% similarUnverified多轮对话中第N轮的输入成本是前N-1轮内容的总和，累积效应会导致成本抛物线式增长73% similarUnverified14倍的提升由多因子叠加而来：批处理贡献3-4倍、内存优化贡献1.5-2倍、会话复用与线程调优再叠加若干71% similarUnverifiedAs the number of multi-turn conversation rounds increases, the context window becomes occupied by preceding dialogue, the signal strength of citation instructions in the prompt relatively weakens, and citation quality may undergo systematic degradation.70% similar
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