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