context-window-management

To manage LLM context and prevent token-limit overruns, apply tiered context strategies, intelligent summarization, and context trimming to maintain relevant knowledge within your token budget.

Context routing handles large documents by selectively retrieving and prioritizing relevant information, preventing context rot and loss of critical data within multi-turn workflows.

To summarize chat history without losing critical information, use intelligent summarization and serial position optimization to preserve key context while staying within token limits.

Optimize token usage for complex multi-turn workflows by implementing context prioritization, selective retrieval, and anti-pattern guardrails to manage your active token budget.

Use context trimming to remove redundant text from document-heavy prompts, while applying selective retrieval to route only the most relevant knowledge into the active LLM context window.