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One-Key Input v0.1.0

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@github-actions github-actions released this 21 May 01:05
v0.1.0
a18e553

One-Key Input v0.1.0

第一个公开版本 / First public release.

这是什么 / What it is

按住 F9 → 说话 → 松开 → 上下文感知的 AI 润色文字 直接落到光标处。
Hold F9 → speak → release → context-aware AI-polished text typed at your cursor.

不切窗口、不复制粘贴、不打断输入流。
No window switching, no copy-paste, no interrupting your flow.

亮点 / Highlights

  • 上下文感知润色 / Context-aware polish
    按下热键时，Core 用 Windows UIAutomation 抓取当前前台窗口的 — 应用名、窗口标题、焦点控件、光标前后字符、同窗口其它可见文本区域 — 附加到 LLM 的 system prompt。同样一句"挺有意思的"，在 YouTube 评论框、Slack 回复、代码注释里会被润成完全不同、贴合场景的句子。
    When you press the hotkey, Core takes a UIAutomation snapshot of the foreground window — app, title, focused control, text around the caret, sibling text regions — and appends it to the LLM's system prompt. The same "interesting take" gets rewritten differently in a YouTube comment box, a Slack reply, or a code comment.

  • 零延迟设计 / Zero-latency design
    上下文抓取和录音并行（800ms 预算），不增加总时长。config.json 里 polish.use_context: false 完全关闭。
    Context capture runs in parallel with recording (800ms budget) — no added latency. Set polish.use_context: false in config.json to disable entirely.

  • 后端可插拔 / Pluggable backends
    ASR / LLM 都是接口化的。当前默认 Azure Speech + Azure OpenAI，OpenAI 也支持。本地 Whisper / 本地 LLM 接口已留好。
    ASR and LLM are interfaces. Defaults: Azure Speech + Azure OpenAI; OpenAI works too. Local Whisper / local LLM hooks are stubbed.

  • 润色失败安全网 / Polish-failure safety net
    LLM 调用失败时自动回落到注入原始识别结果——你不会丢字。
    If polish fails, the raw transcript is injected — you never lose an utterance.

  • 完全 BYO Keys / Bring your own keys
    没有云服务、没有遥测。所有调用直接发到你自己的 Azure / OpenAI 账号。
    No server, no telemetry. All calls go directly to your own Azure / OpenAI account.

安装 / Install

下载下面的 OneKeyInput-0.1.0-portable.zip，解压到任意目录，双击 onekey-core.exe。第一次运行会弹出设置窗口让你填 key。完整说明见 README。

Download OneKeyInput-0.1.0-portable.zip below, extract anywhere, double-click onekey-core.exe. The settings window opens automatically on first run. See the README for details.

你需要 / You need

  • Windows 10/11 (x64)
  • Azure Speech 资源 (免费档每月 5 小时识别足够日常用 / free tier covers normal use)
  • 一个 LLM endpoint：Azure OpenAI deployment（推荐 gpt-4o-mini）或 OpenAI API key

已知局限 / Known limits

  • UIA 对原生 Win32 / WinUI / WPF 应用读取最佳；Electron / 浏览器内嵌内容深度依赖该应用是否暴露完整 a11y 树。专门的浏览器/IM 适配器在 v0.2 路线图。
    UIA reads native Win32 / WinUI / WPF apps best; Electron and browser content depend on a11y tree exposure. Dedicated browser/IM adapters are on the v0.2 roadmap.
  • 仅 Windows。Linux/macOS 抽象层已铺设但未实现。
    Windows only. Linux/macOS abstraction layers are stubbed.

反馈 / Feedback

  • 🐛 Issues
  • 💡 Discussions
  • ⭐ Star if it's useful — that's how I see whether to keep building.
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