Refactor AI chat collection process and enhance documentation#478
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本次重构全面增强了 AI 聊天记录的采集鲁棒性和一致性，并优化了后台资源管理。 主要改进点包括： 1. 增强了 ChatGPT 收集器，引入了多传次采集缓存机制，支持无缝处理用户滚动和手动回溯等场景。 2. 优化了 DOM 遍历逻辑，使用纯净的、不影响视口的操作获取稳定节点标识。 3. 更新 AI 自动保存规则，将 ChatGPT 和 Google AI Studio 排除在自动保存范围之外（仅支持手动捕获）。 4. 清除了内容控制器的 Deep Research 轮询和水合逻辑，简化了后台资源管理。
更新了 `AGENTS.md`、`README.md` 和 `docs/overview.md`，明确了 ChatGPT 和 Google AI Studio 等使用虚拟化渲染的站点，不适合自动增量采集。 核心调整包括： 1. 官方约定所有此类站点采用“手动保存优先”策略，避免自动采集丢失离屏轮次。 2. 全量历史应通过 collector 的 `prepareManualCapture()` 滚动扫描水合 + 跨扫描收割恢复。 3. 更新了相关的底层配置和代码文档，如 `docs/GENERATION.md` 和 `docs/configuration.md` 的描述， 以保持信息一致性。
精简了消息回合（turn）的查找逻辑，移除了依赖旧 DOM 结构的回退机制，使网页采集更稳定。同时，改进了手动缓存（manual harvest）的键校验流程，确保数据读取的准确性和时时效性。
使用 `useMemo` 钩子缓存了组件中的计算值，包括阅读工具栏的特征计算和侧边大纲组件的渲染。这确保了只有当依赖项实际变化时，对应的值才会重 新计算，从而提升了组件的渲染性能。
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