DeepSeek Harness Plugin

STARDUSTLC666/dsh-voice

Stars ★ 1 Category Tools & Capabilities Added 2026-08-15 npm dsh-voice

Voice pair: free edge-tts neural speech synthesis + OpenAI-compatible ASR transcription.

Install

# from npm (prebuilt)

dsh plugin --profile web add dsh-voice

# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)

dsh plugin --profile web add github:STARDUSTLC666/dsh-voice

Any plugin you install runs third-party code with your own permissions — it can read your files, use your credentials, and reach the network, and tool approvals don’t sandbox it. GitHub-sourced plugins also run build scripts at install time. Only install sources you trust, and pin a commit (github:owner/repo#sha).

README

中文

dsh-voice

Awesome DSH Plugin

DSH (DeepSeek Harness) voice plugin pair: let the agent speak and listen.

  • voice_tts: text-to-speech over the edge-tts protocol (Microsoft Edge read-aloud service — free, unlimited, 22+ curated voices)
  • voice_stt: speech-to-text over any OpenAI-compatible ASR endpoint (Groq / OpenAI / custom)
  • voice_list: voice catalog

Installation

dsh plugin --profile web add dsh-voice

Configuration

voice_tts works with zero config; voice_stt needs an ASR key:

- id: voice
  name: 'dsh-voice'
  config:
    asrEngine: groq                       # groq | openai | custom
    asrModel: whisper-large-v3-turbo      # Groq whisper model
    # asrApiKey: gsk_...                  # prefer env var DSH_VOICE_ASR_KEY
    ttsVoice: zh-CN-XiaoxiaoNeural        # default voice
    # proxyUrl: http://127.0.0.1:7890     # enable when the ASR endpoint needs a special proxy

Tools

Tool Purpose Key parameters
voice_tts Synthesize MP3 from text (free) text required; voice/rate/pitch/output optional
voice_stt Transcribe audio to text audio required; engine/model/language/prompt/output optional
voice_list Curated voice catalog none

Examples

voice_tts { text: hello world }                              # outputs voice_output.mp3
voice_tts { text: hello, voice: en-US-AriaNeural }           # English female voice
voice_stt { audio: E:\audio\meeting.mp3, language: zh }     # transcribe a recording
voice_list {}

Under the hood

  • Direct edge-tts protocol: the Sec-MS-GEC token is generated locally with the official DRM algorithm (SHA256 of Windows file time + trusted client token, 5-minute windows); transport uses the ws library with permessage-deflate and an optional HTTP CONNECT proxy tunnel
  • Zero API cost: TTS is completely free; STT costs only whatever your ASR provider charges
  • Up-front validation: text ≤ 5000 chars, audio ≤ 25MB; same-name outputs auto-suffixed
  • Protocol aligned with current open-source edge-tts (7.x) — no reliance on the outdated token endpoint

Development

pnpm install
pnpm test       # build + 31 tests, including a real-synthesis integration test

License

MIT

Content from the project README on GitHub ↗

Links

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