Prompt Compression Techniques (ANSWERED)
Context budget tactics: summarization, selective retrieval, example pruning, and distillation for long-running agent sessions.
TL;DR — Quick Answer
Compress prompts by summarizing stale conversation, retrieving only relevant chunks, pruning redundant few-shot examples, and distilling stable instructions into shorter system prompts. Always validate compression with evals — aggressive truncation causes silent quality drops on edge cases.
The Interview Question
How do you compress long prompts and contexts without losing task-critical information?
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CompressionContext WindowSummarizationAgentsAnthropicOpenAI