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\r\n\r\n# 🖥️ dsh-cua-pre\r\n\r\n**Computer Use for DeepSeek Harness — accessibility-first desktop automation**\r\n**DeepSeek Harness 电脑控制插件 — 无障碍优先的桌面自动化**\r\n\r\n[![npm version](https://img.shields.io/npm/v/@a9i5k4/dsh-cua-pre.svg)](https://www.npmjs.com/package/@a9i5k4/dsh-cua-pre)\r\n[![license](https://img.shields.io/npm/l/@a9i5k4/dsh-cua-pre.svg)](./LICENSE)\r\n[![platform](https://img.shields.io/badge/platform-Windows%2010%2B-0078d4.svg)](#requirements--环境要求)\r\n[![python](https://img.shields.io/badge/python-3.9%2B-3776ab.svg)](#requirements--环境要求)\r\n[![tools](https://img.shields.io/badge/tools-30-8a63ff.svg)](#tools--工具一览)\r\n\r\n**One command install · 一条命令安装**\r\n\r\n```powershell\r\nirm https://raw.githubusercontent.com/Aik358/dsh-cua-pre/main/install.ps1 | iex\r\n```\r\n\r\n
\r\n\r\n---\r\n\r\nEnglish | [中文](#中文)\r\n\r\n## What is this\r\n\r\nA self-built computer-use plugin for [DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness): an **accessibility-first** observe → act → verify loop with 30 desktop-automation tools (the same names you'd expect from an industry-standard Computer Use toolset), full safety semantics, reimplemented on a Windows Python worker.\r\n\r\nThe agent operates your desktop the way a careful human would: it **reads the UI Automation tree first** (exact, focus-free, resolution-independent) and only falls back to pixel coordinates when the tree cannot express a target. Screenshots are a describing aid, never the operating premise.\r\n\r\n

\r\n \"control\r\n \"control\r\n

\r\n

The floating panel: live operation feed (left) and captured frame wall (right). FAB sits at the bottom-right corner, decoupled from any sidebar layout.

\r\n\r\n## Highlights\r\n\r\n- **30 tools, standard names** — `get_app_state` / `left_click` / `type` / `key` / `scroll` / `screenshot` / `zoom` / `clipboard` … with `element`/`coordinate` dual targets, `auto`/`a11y`/`event` strategy routing, and `return_state`.\r\n- **Safety semantics ported, not improvised** — observations are invalidated after every mutation (`superseded` + refresh lock); timeouts mean *\"may have happened\"* and are never replayed blindly; `stop_computer_control` is a **persistent** kill switch; element addressing validates RuntimeId / type+name / rect drift and fails closed (`stale_tree`) instead of clicking the wrong thing.\r\n- **Presentation layer** — tool calls render as chat cards; a fixed floating panel shows the live operation feed and a wall of captured frames; a dedicated settings page with **environment auto-detection** (Python candidates probed for real, one-click dependency install, bundled worker auto-resolve, vision-model dropdown with heuristic vision flags).\r\n- **Tiled vision for small-resolution models** — screenshots are grid-tiled (≤768 px per tile, overlap, capped count) so DeepSeek-flash-class models can still read the screen; full-frame and per-tile caches make repeated looks nearly free; images travel as durable attachment refs, never base64 in text.\r\n- **Governance** — append-only JSONL audit trail of every tool call; pid allowlist (strict/relaxed) with instant effect; loopback-only HTTP surface.\r\n\r\n## How it works\r\n\r\n```text\r\nBrowser half (lib/client.js) Host half (lib/index.js, cordis)\r\n floating FAB + fixed panel ──► 30 tools · session state machine\r\n settings page · chat cards frame registry · vision tiling · audit\r\n │ │\r\n └── /api/dsh-cua-pre/* ◄────────────┘\r\n │ stdio JSONL (epoch gate, breaker)\r\n ▼\r\n python/worker_cua_v2.py\r\n UIA tree · SendInput · PrintWindow · Pillow crop\r\n```\r\n\r\n![architecture](docs/architecture.svg)\r\n\r\n**Element addressing** records a child-index path at observe time and re-walks it at action time, validating three layers: UIA RuntimeId (with bounded BFS recovery), `type`+`name`, and rect-center drift (±25 % tolerance). Any mismatch raises `stale_tree` — the agent re-observes instead of guessing.\r\n\r\n**Strategy routing**: `auto` tries a UIA hit-test at the coordinate first and only clicks raw when nothing actionable is found; `a11y` refuses *before* any injection when the hit-test misses (`action_sent=false`); `event` forces raw input.\r\n\r\n## Quick start\r\n\r\n> Prerequisites: Windows 10+, [DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness) (`dsh web`), Python 3.9+ on PATH.\r\n\r\n```powershell\r\n# 1) install into the web profile + patch the bundle roster\r\nirm https://raw.githubusercontent.com/Aik358/dsh-cua-pre/main/install.ps1 | iex\r\n\r\n# 2) restart `dsh web` (port 3080 stays a manual, user-owned step)\r\n\r\n# 3) enable + (recommended) point the plugin at a venv with worker deps\r\n# ~/.dsh/cua-pre.json\r\n{ \"enabled\": true, \"pythonExecutable\": \"C:/path/to/venv/Scripts/python.exe\" }\r\n```\r\n\r\nOr pick the interpreter visually: after restart, open **Settings → 电脑控制** — the page auto-probes every candidate Python, shows which ones have `uiautomation`+`pillow` ready, installs missing deps in one click (official PyPI, Tsinghua mirror fallback), and lets you switch with one click (takes effect immediately, no restart).\r\n\r\n
\r\nEnable vision (optional) / 开启识图（可选）\r\n\r\n```json\r\n{ \"visionEnabled\": true, \"visionModel\": \"\" }\r\n```\r\n\r\n`visionModel` left empty follows the harness default route; the settings dropdown lists every configured provider's models with a heuristic ✔ on likely-vision names (you can override manually). Every `screenshot` / `get_app_state(include_screenshot)` then appends a `[vision]` description built from grid tiles — each tile small enough for low-resolution models to read faithfully.\r\n\r\nInstall worker deps for the chosen interpreter: `pip install uiautomation pillow` (or use the settings page button).\r\n\r\n
\r\n\r\n## Tools — 30 desktop-automation tools\r\n\r\n| Group | Tools |\r\n|---|---|\r\n| Observe & resolve | `request_access` `list_apps` `open_application` `list_windows` `get_app_state` `screenshot` `zoom` `list_displays` `switch_display` `cursor_position` |\r\n| Pointer | `left_click` `double_click` `triple_click` `right_click` `middle_click` `scroll` `left_click_drag` `mouse_move` `left_mouse_down` `left_mouse_up` |\r\n| Keyboard | `type` `set_value` `select_text` `key` `hold_key` |\r\n| Semantic | `perform_action` |\r\n| Runtime | `stop_computer_control` `wait` `read_clipboard` `write_clipboard` |\r\n\r\nTool calls render as **chat cards** in the harness UI, and every completed screenshot can embed itself into its card as an image block (UI-facing only — zero model-context cost).\r\n\r\n## Safety model\r\n\r\n| Mechanism | Behavior |\r\n|---|---|\r\n| Default off | zero Python processes until `enabled: true` |\r\n| Kill switch | `stop_computer_control` persists across restarts; restore = remove `stoppedByUser` from config + restart |\r\n| Write invalidation | any click/type/key supersedes all observations of that window and locks writes until a fresh `get_app_state` |\r\n| No blind replay | timeout/crash on a mutating call ⇒ \"may have happened\" ⇒ the agent must re-observe first |\r\n| Fail-closed addressing | `stale_tree` on RuntimeId/type/name/rect drift; `a11y` strategy refuses pre-injection |\r\n| UIPI | injection into elevated windows is rejected by Windows with a structured error, never a crash |\r\n| Audit | every tool call appended to `artifactsDir/audit/YYYY-MM-DD.jsonl` |\r\n| Allowlist | `allowedPids` restricts which processes may be observed/operated; strict mode also blocks raw coordinates, clipboard and full-screen capture |\r\n\r\n## For developers\r\n\r\n```powershell\r\ngit clone https://github.com/Aik358/dsh-cua-pre && cd dsh-cua-pre\r\npython -m venv .venv && .venv\\Scripts\\pip install -r python\\requirements.txt\r\nnode scripts/test-v2-gate.mjs # unit: gate/session/frame/tile planner\r\nnode scripts/test-v2-live.mjs .venv\\Scripts\\python.exe # live read-only chain, 22 asserts\r\nnode scripts/test-vision.mjs .venv\\Scripts\\python.exe # vision pipeline vs fake host services\r\nnode scripts/test-m4.mjs .venv\\Scripts\\python.exe # card-image/cache/audit/allowlist, 17 asserts\r\n```\r\n\r\nAll tests are strictly read-only on the desktop — no test ever injects input.\r\n\r\n## Notes & honest limitations\r\n\r\n- Windows only (UIA + SendInput). macOS/Linux are out of scope for now.\r\n- Frame-bound coordinates are *soft-bound*: pixels from an expired frame are accepted but flagged `stale` (hard rejection needs broker-level occlusion tracking).\r\n- `bundle_id` (UWP/AUMID) is not supported — use `name` or `pid`.\r\n- Vision is a **describe enhancement**, never the operating premise — positioning always comes from the accessibility tree, which is exactly why the plugin stays reliable even with vision off.\r\n\r\n## 中文\r\n\r\n面向 DeepSeek Harness 的桌面自动化自研插件：**30 个标准工具**（元素/坐标双目标、auto/a11y/event 策略路由、return_state）、无障碍树优先的观察-动作-验证回路、写后作废与禁重放安全语义、持久急停开关、RuntimeId+矩形漂移双层防错位、对话卡片 + 右下角悬浮面板（实况/画面）+ 环境自动检测设置页、面向低分辨率模型的分块识图（全帧/分块两级缓存）、JSONL 审计落盘与 pid 白名单。\r\n\r\n安装与启用见顶部一条命令；仅在 Windows 10+ 可用；默认关闭。安全机制一览见 [Safety model](#safety-model)。\r\n\r\n## License\r\n\r\nMIT — see [LICENSE](./LICENSE).\r\n","readmeFilename":"README.md"}