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As conversations grow, they consume more of the model’s context window. Compaction reduces context size while preserving important information, keeping your conversations responsive and cost-effective.

Approaches

Approach	Speed	Context Preservation	Cost	Reversible
Start Here	Instant	Intelligent	Free	Yes
`/compact`	Slower (uses AI)	Intelligent	Uses API tokens	No
`/clear`	Instant	None	Free	No
Auto-Compaction	Automatic	Intelligent	Uses API tokens	No

When to compact

Proactively: Before hitting context limits, especially on long-running tasks
After major milestones: When you’ve completed a phase and want to preserve learnings without full history
When responses degrade: Large contexts can reduce response quality

Next steps

Manual Compaction — Commands for manually managing context
Automatic Compaction — Let Xum compact for you based on usage or idle time

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