更新CLAUDE.md,删除wiki/concepts空文件

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---
title: "Context Window"
type: concept
tags: [AI, 模型, Context]
sources: [yang-xia-ri-ji-4, yang-long-xia-5-tian]
last_updated: 2026-04-14
---
## Definition
模型能处理的上下文大小,决定了对话长度和信息保留量。
## 典型值
| 模型 | Context Window |
|------|---------------|
| MiniMax-M2.7 | 200K tokens |
| deepseek-reasoner | 16K tokens |
## Compaction机制
OpenClaw的对话压缩机制
- 当对话填满Context Window时将旧消息压缩成摘要
- 摘要抓住要点,但丢失细节(姓名、数字、具体决定)
- safeguard模式预留一半token给compaction
## Memory Flush解决方案
压缩前将重要上下文写入磁盘:
```json
{
"compaction": {
"memoryFlush": {
"enabled": true,
"softThresholdTokens": 4000
}
}
}
```
## Connections
- [[Compaction]] ← 上下文压缩 ← [[Context-Window]]
- [[Memory-Flush]] ← 保护机制 ← [[Context-Window]]
- [[Embedding Vector]] ← 限制 ← [[Context-Window]]
- [[Generation]] ← 限制 ← [[Context-Window]]
- [[Indexing]] ← 限制 ← [[Context-Window]]