focuses on removing old and redundant information from the message history while preserving the overall context and flow of the conversation. This process involves identifying outdated or less relevant parts of the conversation that no longer contribute to the current task or discussion, and summarizing them in a way that maintains coherence.
In one sentence:
Remove stale elements without losing track of the ongoing task's structure.
This approach ensures that while older, less relevant information is removed, the context for the current task remains clear and intact, preventing confusion and maintaining productivity.
Summary of Compression Layers
- Tool Result Budget: Cuts down large individual tool results to prevent them from overwhelming the message history.
- Snip: Replaces bulky low-value blocks with markers or shorter representations while preserving structural integrity.
- MicroCompact: Systematically removes outdated information, summarizing it without disrupting the current task's context.
By applying these layers in sequence, Claude Code ensures that the most critical and recent information remains accessible to the model at all times, maintaining both efficiency and clarity throughout complex tasks.
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