ModelRefs / Context Window Management — AI Glossary
Context Window Management — AI Glossary
Techniques for efficiently using a model's context window: pruning irrelevant content, summarizing history, and ordering information strategically.
Overview
As AI apps grow in complexity—long agent traces, multi-turn chat, many tools—context fills quickly. Management strategies: rolling summarization (compress old turns), importance-weighted eviction (remove low-scoring segments), RAG substitution (replace inline docs with retrieval on demand), and KV cache reuse (prefix caching for shared system prompts).
Reference details
| Topic | prompting |
|---|---|
| Last reviewed | 2026-06-24 |
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Frequently asked questions
What is Context Window Management?
Techniques for efficiently using a model's context window: pruning irrelevant content, summarizing history, and ordering information strategically.
What concepts are related to Context Window Management?
Closely related concepts include context management, kv cache, long context.