v0.27.1

v0.27.1 — 深度工具强化：AI 现在能「看见」界面并精确点击

UI 自动化质变（核心）

此前 AI 只能盲猜坐标点击，不知道按钮在哪里。现在形成完整闭环：

• ua_find_text 查看界面结构：列出屏幕上所有文字元素的坐标与可点击状态（可留空列出全部可点项）
• ua_tap_text 按文字点击：「点登录按钮」——基于无障碍节点查找，比坐标点击可靠得多
• screen_ocr 默认返回每行文字坐标 文字 @(x,y)：AI 读到内容就知道位置，配合坐标点击精确操作
• 全流程：看界面 → 按文字点 → OCR 验证结果，任意 App 自动化真正可用

其他深度强化

• calculator 科学计算：sin/cos/tan/sqrt/log/ln/floor/ceil/round（角度制）、常量 pi/e、百分比（200*15% = 30）
• get_time 日期计算：days_offset 回答「3 天后是几号星期几」
• write_document 追加模式：分多次写长文档不再覆盖
• media_control 查询当前曲目：歌名/艺术家/专辑/播放进度
• read_notifications 过滤：按时间范围（最近 N 小时）+ 应用名筛选
• fetch_rss 条目摘要：订阅条目附带内容摘要

工具总数 63。需要无障碍 + 截屏权限（设置 → 权限）。

SHA-256:

• full: 2762820e2825d8eae8490a66c384e61d72a5ae2274da8ff6ceb3756c39b9b41e
• lite: 03aaba5f2c39be92acc9ae59d110b24e10b85d0a3d6cc14b82925d7ac92a19dd

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v0.27.1 — Deep tool upgrades: the AI can now SEE the UI and tap precisely

UI automation breakthrough

The AI used to guess coordinates blindly. Now it's a closed loop:

• ua_find_text: lists every text element with coordinates and clickability (leave text empty to list all tappable items)
• ua_tap_text: taps an element by its text ("tap the Login button") via the accessibility tree - far more reliable than coordinates
• screen_ocr now returns per-line coordinates text @(x,y) by default, so the AI knows where things are and can tap precisely
• Workflow: inspect UI -> tap by text -> verify with OCR. Real automation of any app.

Other deep upgrades

• calculator: scientific functions (sin/cos/tan/sqrt/log/ln/floor/ceil/round, degrees), constants pi/e, percentages (200*15% = 30)
• get_time: days_offset answers "what weekday is it 3 days from now"
• write_document: append mode for multi-part long documents
• media_control: status action returns the current track (title/artist/album/progress)
• read_notifications: filter by time range (last N hours) and app name
• fetch_rss: entries now include content summaries

63 built-in tools. Requires Accessibility + screen-capture permissions (Settings -> Permissions).

SHA-256:

• full: 2762820e2825d8eae8490a66c384e61d72a5ae2274da8ff6ceb3756c39b9b41e
• lite: 03aaba5f2c39be92acc9ae59d110b24e10b85d0a3d6cc14b82925d7ac92a19dd