dsh-audio-copilot
Run the following command in DeepSeek Harness:
dsh plugin install ai-yucheng/dsh-audio-copilot
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install ai-yucheng/dsh-audio-copilot in DeepSeek Harness to install this plugin; source code is available at https://github.com/ai-yucheng/dsh-audio-copilot
About this plugin
Text-only LLMs have no ears and no mouth — users are stuck typing every message character by character. dsh-audio-copilot adds a microphone button right next to the chat input: speak into it, and your words are transcribed into the text box in real time, ready to send.
The core capability of the plugin is speech-to-text, backed by four switchable engines. Zhipu GLM-ASR connects natively inside China and handles Mandarin, Sichuanese, Cantonese, Hokkien, Wu dialects plus dozens of foreign languages at a very low per-use cost. Local faster-whisper runs entirely offline, is free and unlimited, and keeps audio on your own machine. Gemini targets overseas networks and delivers the strongest semantic understanding. Any OpenAI-compatible /audio/transcriptions endpoint is also supported, so existing third-party ASR services plug right in. Switching engines is a one-line config change followed by a restart — nothing else is affected. Reliability details include automatic retry on Gemini 429 rate limits, server-side WebM-to-WAV conversion for the Zhipu engine, actionable Chinese error messages when a key or endpoint is missing, and a clipboard fallback whenever transcription output cannot be injected into the input box, so the plugin never fails silently.
Who is it for? If you are on a Chinese network and need dialect or foreign-language recognition without a proxy, the Zhipu engine is the lowest-friction choice. Developers who value zero cost and offline privacy will prefer local Whisper. Overseas users with a proxy who want the best semantic understanding can pick Gemini. Teams that already run a third-party ASR service can point the plugin at their own OpenAI-compatible endpoint. In every scenario, after installing and restarting DSH, a microphone button appears in the chat toolbar — just talk, and your text is ready.
Screenshots
Use Cases
- Speak instead of type in the DSH chat box to compose queries hands-free
- Recognize Chinese dialects and foreign languages through multi-engine ASR
- Transcribe speech locally with faster-whisper for free, private, offline use
Best For
- DSH users in China who need dialect and foreign-language voice input at low cost
- Developers who prioritize offline privacy and keep audio on their own machine
- Teams running third-party ASR services (Whisper, SenseVoice) that need a unified chat UI
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