dsh-voice-by-edge
Voice practice mode for the DSH web app: bilingual (中文 / English) conversation output plus read-aloud (TTS) and speech input (STT). Adds a 语音交流 dialog-mode toggle to the composer.
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Voice practice mode for the DSH web app: bilingual (中文 / English) conversation output plus read-aloud (TTS) and speech input (STT). Adds a 语音交流 dialog-mode toggle to the composer.
DSH web focus mode plugin: ?focus=conversation.composer shows only the input area, ?focus=conversation.session shows only the message flow, both hiding the DSH main sidebar; auto-resumes the most recent non-blank session when none is current.
Speech plugin for DeepSeek Harness: per-message speak button, composer voice input, and auto-announce toggle, over cloud TTS/ASR with Web Speech API fallback
DSH web 插件:在「设置」中增加「显示」页,用两个滑杆分别调节输入框与内容展示区的宽度百分比,改动即时生效并持久化。 / DSH web plugin: adds a "Display" page under Settings with two sliders that adjust the width percentage of the input box and the content area, applied live and persisted.
Voice input (Web Speech API) and read-aloud (speechSynthesis) for the DeepSeek Harness web GUI — DSH 语音输入 + 回复朗读套件
One-click silent DSH restart button in the composer input bar. DeepSeek Harness plugin (dsh-plugin).
Windows computer-use capability for DeepSeek Harness: screenshot → vision model → simulated mouse/keyboard input, with self-evolving knowledge base.
DSH Web 本地离线语音输入插件:浏览器采集麦克风 → host 拉起本地 FunASR (SenseVoiceSmall) 识别 → 文字填入输入框。
会话额度监控(dsh bundle 增强版):按 DeepSeek 官方价格记账、额度耗尽拦截 + 输入框上方进度条 UI(同源防护 + inputWrite 计费档 + 屏幕右上角余额校准悬浮窗)
Agent-agnostic skill that turns task input files into reusable structural briefs and a per-task searchable index (OpenAI Codex, Claude Code, DeepSeek Harness)
【已归档】输入框文件引用插件(不再维护):DeepSeek Harness 0.1.2-alpha.3 起已原生支持 @ 选取文件/文件夹/会话,请直接升级到最新 DeepSeek Harness,无需安装本插件。原功能:输入 @ 弹出可搜索、可逐级下钻的文件选择面板,选中后把 @相对路径 回填进输入框(保留 @、末尾一空格)。
DeepSeek Harness Cordis plugin: drive Vimina Windows GUI automation via stdio (serve/call). Registers 26 vimina_* tools (scan/click/input/key/VMA scripts/screenshot/window/mouse).
Microphone speech-to-text input for the DeepSeek Harness Web UI
Enhanced workspace directory browser for the dsh web UI: quick access to /mnt Windows drives, full breadcrumb ancestry from the filesystem root, and an always-visible path input.
聊天框语音输入按钮 for DeepSeek Harness: 点击麦克风说话,多引擎转写(智谱 GLM-ASR-2512 / 本地 faster-whisper / Gemini / OpenAI)自动填入输入框。一个按钮,所见即所得。
DSH web plugin: speak into the composer — macOS native speech-to-text (Apple Speech framework) via a bundled Swift helper
SenseVoiceSmall-powered local speech-to-text for the DSH Desktop input box: click the mic beside the composer, speak, and the recognized draft (with language/emotion tags) is written into the input.
Voice (speech-to-text) input for the DSH Web composer via the browser Web Speech API — tap the mic, speak, the transcript fills the input box. Zero server, zero API keys, nothing leaves the machine. · DSH Web 语音输入:点麦克风说话,识别文字回填输入框(Chrome/Edge,无需 API key)。
DSH web plugin: a draggable ring-gauge dashboard pinned to the bottom-right that shows live model output speed (tok/s), with an expandable detail panel (per-step exact speed, TTFT, cache-hit rate, cache read/write, reasoning and input tokens, model, cumulative tokens).
Turn-outline sidebar tab for dsh-better-sidebar: fold a session into user turns (input + tool steps + output) with structured jump-back into the conversation | DSH 轮次轨迹侧边栏:按用户轮次折叠会话(输入+工具步骤+输出),一键定位回对话原位
Text-to-image for DeepSeek Harness: a `draw_image` model tool, an input-bar 生图 button with a prompt popup (async generation, 4-grid results, download / keep / delete), an /imgdraw image route, and persisted history. Backends: DashScope wan2.7-image (free default) and SiliconFlow Qwen-Image.
给 DSH 聊天输入框加上 CLI 风格的历史记忆:按上下方向键召回之前发送过的内容(纯客户端插件,重启不丢)。
Attach local files to the conversation context: a composer chip adds files whose content is injected into the model context (agent/pre-step), with a removable ✕ chips strip above the input.
DSH plugin: per-project LLM token usage and RMB cost (input / cache-hit / output) based on model standard prices.