# 第六章 上下文压缩与优化

即使经过精选和检索，需要放入上下文的信息量仍可能很大。**压缩策略** 旨在提高信息密度，用更少的 Token 传达更多的有效内容。

本章将介绍信息压缩的基本原理、摘要与提取技术、对话历史管理，以及上下文窗口优化的系统策略。这些技术对于控制成本、降低延迟、提高模型处理效率都至关重要。

## 本章内容

* [6.1 信息密度与压缩原理](/context_engineering_guide/di-er-bu-fen-he-xin-ji-shu-yu-ce-le/06_compress/6.1_compression_principles.md)
* [6.2 摘要与信息提取](/context_engineering_guide/di-er-bu-fen-he-xin-ji-shu-yu-ce-le/06_compress/6.2_summarization.md)
* [6.3 对话历史管理](/context_engineering_guide/di-er-bu-fen-he-xin-ji-shu-yu-ce-le/06_compress/6.3_conversation_history.md)
* [6.4 上下文窗口优化策略](/context_engineering_guide/di-er-bu-fen-he-xin-ji-shu-yu-ce-le/06_compress/6.4_window_optimization.md)
* [6.5 压缩策略案例分析](/context_engineering_guide/di-er-bu-fen-he-xin-ji-shu-yu-ce-le/06_compress/6.5_compression_cases.md)
* [本章小结](/context_engineering_guide/di-er-bu-fen-he-xin-ji-shu-yu-ce-le/06_compress/summary.md)


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