Strategies for managing LLM context windows through summarization, trimming, routing, and prioritization.

• Covers six core capabilities: context engineering, summarization, trimming, routing, token counting, and prioritization to prevent token limits and context rot
• Implements tiered context strategies that adapt based on context size, and serial position optimization to place critical information at start and end of context
• Avoids common anti-patterns including naive truncation, ignoring token costs, and one-size-fits-all approaches that degrade performance
• Integrates with RAG, conversation memory, prompt caching, and dialogue systems for comprehensive context management across multi-turn conversations