Expired50% confidenceFactExact time
As the number of conversation turns increases, the messages list grows longer and may eventually exceed the model's context window limit.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/4/2026
First Seen
Valid until: 10/2/2026(expired)
Sources
从零搭建AI Agent：用Python实现对话智能体核心功能
bilibili川府于瑾年7/2/2026
Related Claims
Verified大语言模型在长时间对话中会因上下文窗口限制而丢失早期信息76% similarVerifiedThe context window is the upper limit of text length that a large language model can process simultaneously; when the conversation history is too long, the model may fail to effectively attend to important early information, leading to hallucinations.74% similarUnverified在一个对话窗口里，提问轮次越多，后面每一轮消耗的Token就越大，因为历史对话会被拼接重新发送72% similarUnverifiedThe context windows of current mainstream large language models have expanded to hundreds of thousands or even millions of tokens, but under ultra-long contexts the model's attention weights on earlier information decay significantly (the "lost in the middle" problem).72% similarUnverifiedIn long conversations, historical messages are repeatedly included in the context, causing the token consumption per interaction to grow continuously; the actual billing for the 10th round of dialogue includes the full text of the preceding 9 rounds.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/62144API
curl https://kongchang.com/api/v1/knowledge/claims/62144MCP
get_claim(id=62144)