fix: 内存优化 — 预测性 compact 阈值、增量 lookups orphaned 修复、deferred slice 引用优化

- P0: REPL.tsx 用 useMemo 包裹 deferred messages slice，避免每次渲染创建新数组引用导致不必要的后台重渲染
- P1: 预测性 compact 阈值改用 effectiveContextWindow - growth，消除与 autocompact buffer 的双重预留；TOOL_RESULT_GROWTH_ESTIMATE 从 20K 降至 15K
- P2: 增量 lookups 增加 lastAssistantMsgId 一致性检查和 orphaned server_tool_use/mcp_tool_use 扫描，防止 UI 永久 loading
- P3: reactiveCompact 类型断言改为直接使用 'compact' 字面量
- docs: CLAUDE.md 统一使用 precheck 替代分散的 typecheck/lint/test 命令

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

src/utils/readFileInRange.ts

@@ -101,6 +101,20 @@ export async function readFileInRange(
       throw new FileTooLargeError(stats.size, maxBytes)
     }
 
+    // For targeted reads of moderately large files, prefer streaming to
+    // avoid loading the full file into memory when only a slice is needed.
+    const isTargetedRead = offset > 0 || maxLines !== undefined
+    if (isTargetedRead && stats.size > FAST_PATH_MAX_SIZE / 4) {
+      return readFileInRangeStreaming(
+        filePath,
+        offset,
+        maxLines,
+        maxBytes,
+        truncateOnByteLimit,
+        signal,
+      )
+    }
+
     const text = await readFile(filePath, { encoding: 'utf8', signal })
     return readFileInRangeFast(
       text,