Unverified50% confidenceCautionExact time
切换模型、切换推理强度、开关快速推理模式、压缩对话、缓存过期后恢复等操作都会导致提示缓存失效
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/5/2026
First Seen
Valid until: 12/4/2026
Sources
Related Entities
Related Claims
Unverified在长上下文中,模型更容易受到最近几轮对话的影响,而非最初设定的系统提示,即存在指令遵循衰减现象76% similarUnverified过于冗长、矛盾或模糊的系统提示词会导致模型注意力分散,产生过度思考或指令遵循失败,精简 agents.md 可提升指令遵循的确定性76% similarUnverified传统ReAct模式在复杂场景下存在瓶颈,长链路推理中的误差累积效应会导致任务失败率上升75% similarUnverified构建智能体和常规大模型应用建议关闭思考模式,因为开启后响应速度明显变慢75% similarUnverified长程Agent任务的实现依赖ReAct框架等推理-行动循环,错误会在链条中级联放大,导致完成率远低于单步问答75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/859205API
curl https://kongchang.com/api/v1/knowledge/claims/859205MCP
get_claim(id=859205)