Context compaction silently alters chat history and discards detailed reasoning

1. Monitor long AI sessions for sudden behavioral shifts or forgotten constraints that were agreed upon earlier.
2. Check if your LLM harness or platform uses automatic context compaction or summarization mid-session.
3. Explicitly re-inject critical reasoning steps or dead-end warnings into the active prompt if the model begins to drift.
4. Design system prompts to preserve key decision-making logic, not just final conclusions, during summarization steps.