strategic-compact

Context preservation during long AI sessions is achieved by prompting manual context compaction at logical milestones. This approach uses a threshold-driven script to suggest compaction when tool-call counts cross a configured limit, keeping essential context intact.

Strategic context compaction is a phase-based method that suggests a context reset at logical milestones. It works by using a session-scoped counter and an environment-configured threshold to trigger prompts, keeping exploration and execution phases distinct across multi-phase tasks.

You should manually compact context when approaching context limits during multi-phase tasks or frequent task switching. Manual compaction at logical milestones prevents the unpredictable context loss that occurs with automatic compaction, effectively reducing cognitive load.

Configuring context compaction prompts involves setting an environment-configured threshold for tool-call counts. Once the session-scoped counter crosses this threshold, the script triggers a prompt suggesting you manually compact the context.

Yes, strategic compaction works for workflows with frequent task switching by preserving essential context at logical milestones. The threshold-driven suggestion script prompts manual compaction to keep exploration and execution phases distinct, preventing context loss.

Threshold-driven context compaction relies on manual intervention at logical milestones, meaning it requires user action to execute. It depends on an environment-configured threshold and a session-scoped counter, so it will not automatically compact context if prompts are ignored.