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Treat context as a scarce resource.\n\n## 1. Observation Masking (Noise Reduction)\n\n**Problem**: Large tool outputs (logs, JSON lists) flood context and degrade reasoning.\n**Solution**: Replace raw output with semantic summaries _after_ consumption.\n\n1.  **Identify**: outputs > 50 lines or > 1kb.\n2.  **Extract**: Read critical data points immediately.\n3.  **Mask**: Rewrite history to replace raw data with `[Reference: \u003Csummary_of_findings>]`.\n4.  **See**: `references\u002Fmasking.md` for patterns.\n\n## 2. Context Compaction (State Preservation)\n\n**Problem**: Long conversations drift from original intent.\n**Solution**: Recursive summarization that preserves _State_ over _Dialogue_.\n\n1.  **Trigger**: Every 10 turns or 8k tokens.\n2.  **Compact**:\n    - **Keep**: User Goal, Active Task, Current Errors, Key Decisions.\n    - **Drop**: Chat chit-chat, intermediate tool calls, corrected assumptions.\n3.  **Format**: Update `System Prompt` or `Memory File` with compacted state.\n4.  **See**: `references\u002Fcompaction.md` for algorithms.\n\n## 3. KV-Cache Awareness (Latency)\n\n**Goal**: Maximize pre-fill cache hits.\n\n- **Static Prefix**: strict ordering: System -> Tools -> RAG -> User.\n- **Append-Only**: Avoid inserting into the middle of history if possible.\n\n## References\n\n- [Observation Masking Patterns](references\u002Fmasking.md)\n- [Compaction Algorithms](references\u002Fcompaction.md)\n\n","## **Priority: P1 (OPTIMIZATION)**\n\nManage the Attention Budget. 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