dsh-mimo-agent-tools
by ch1bug
把小米 MiMo API 变成 agent 模型工具的 DSH Cordis 插件:网页搜索、图像/音频/视频理解、语音转文字与文字转语音
DSH (DeepSeek Harness) Cordis plugin that turns the Xiaomi MiMo API into model tools for an agent: web search, image/audio/video understanding, speech-to-text, and text-to-speech.
安装
dsh plugin --profile web add github:ch1bug/dsh-mimo-agent-toolsGitHub 源码安装:首次需按提示配置 allowBuilds 构建授权后重试
安装与环境配置指引、插件开发教程见 DSH 中文社区文档 ↗
安装即在你的机器上以你的权限运行第三方代码——它可读写文件、使用凭据、访问网络,DSH 的工具审批不会为插件代码加沙箱。「检测到 manifest」仅代表发现 dsh.bundle / dsh.plugin 清单,不构成兼容性或安全审查;安装前请审阅源码,不熟悉的插件先在不含密钥的环境试用。
README
目录
DSH (DeepSeek Harness) Cordis plugin that turns the Xiaomi MiMo API into model tools for an agent: web search, image/audio/video understanding, speech-to-text, and text-to-speech.
Backed by the OpenAI-compatible endpoint https://api.xiaomimimo.com/v1.
Tools
| Tool | Model | Purpose |
|---|---|---|
mimo_search |
mimo-v2.5-pro | Web search via the native web_search tool, returns answer + cited sources (incl. site_name/logo_url); optional force_search, user_location |
mimo_think |
mimo-v2.5-pro / mimo-v2.5 | Deep thinking — full reasoning chain (reasoning_content) + final answer |
mimo_json |
mimo-v2.5-pro / mimo-v2.5 | Structured JSON output via response_format: json_object |
mimo_vision |
mimo-v2.5 | Image understanding — local files (auto base64) or public URLs, multi-image |
mimo_audio |
mimo-v2.5 | Audio understanding / transcription (wav/mp3/flac/ogg/m4a) — local file or public URL |
mimo_video |
mimo-v2.5 | Video understanding (mp4/webm/mov) — local file or public URL; optional fps / media_resolution |
mimo_asr |
mimo-v2.5-asr | Speech-to-text with optional language hint — local file or public URL |
mimo_tts |
mimo-v2.5-tts / -voicedesign | Text-to-speech to a .wav/.mp3 file — preset voices or free-form voice design; optional style (speaking tone) and format (wav/mp3) |
mimo_voiceclone |
mimo-v2.5-tts-voiceclone | Voice cloning — reference clip + text → speech in that voice; optional format (wav/mp3) |
audio-tools skill
The plugin registers an audio-tools skill that guides when to use the four
audio tools (mimo_asr, mimo_tts, mimo_voiceclone, mimo_audio). The
tools themselves are always registered — they are lightweight pure-API calls —
so the skill only teaches usage, it does not gate the tools.
Requirements
- A MiMo API key — the
web_searchtool requires the connected-search plugin enabled in the MiMo console. python3on the host (used bydriver/mimo_driver.py).- DSH host with the
shellandsandboxPolicyservices.
Configuration
The API key is resolved at tool-call time from the DSH credentials
service first (key name XIAOMI_API_KEY — the web Models page writes keys
there), falling back to the environment. Nothing is hardcoded:
| Source | Key | Priority |
|---|---|---|
DSH credentials service (~/.dsh/.credentials.yaml, web Models page) |
XIAOMI_API_KEY |
1 |
| Environment | XIAOMI_API_KEY or MIMO_API_KEY |
2 |
Other options (environment, read at apply time):
| Env var | Purpose | Default |
|---|---|---|
MIMO_DRIVER |
path to driver/mimo_driver.py |
~/.local/lib/mimo-agent-tools/driver/mimo_driver.py |
MIMO_TMP |
temp dir for spec/response files | /tmp |
Install the driver at the default path (or point MIMO_DRIVER at it):
mkdir -p ~/.local/lib/mimo-agent-tools/driver
cp driver/mimo_driver.py ~/.local/lib/mimo-agent-tools/driver/
Why a python driver?
Multimodal payloads are multi-megabyte base64 strings. Agent shells commonly cap captured stdout (DSH's bash seam caps at 64KB), which silently truncates large payloads. The driver therefore does ALL file reading, body assembly and HTTP POSTing inside one python3 process, using spec/response files on disk — nothing large ever crosses the shell.
Install (DSH bundle)
Standard DSH bundle — install with the official plugin command (auto-inits
the profile, pnpm-installs, and appends the bundle layer per
dsh.bundle.patch):
# From a local checkout, or via git/npm:
dsh plugin --profile web add /path/to/dsh-mimo-agent-tools
# or: dsh plugin --profile web add github:you/dsh-mimo-agent-tools
# Install the python driver to the default path (MIMO_DRIVER points at it):
mkdir -p ~/.local/lib/mimo-agent-tools/driver
cp driver/mimo_driver.py ~/.local/lib/mimo-agent-tools/driver/
# Restart dsh web; the tools mount automatically.
Dependencies are declared as peerDependencies (ecosystem convention —
@deepseek-ai/dsh-tools is already loaded in the DSH process, so nothing is
duplicated). dsh plugin add installs the bundle into the profile's
node_modules where peer deps resolve against the running harness.
Notes on the MiMo API (from the official docs)
- TTS target text goes in the assistant message; the voice description
(voicedesign model) goes in the user message; a
styleinstruction rides the user message for preset voices and becomes an inline(风格)tag prefix for voicedesign voices. mimo-v2.5-tts-voicedesigndoes not accept anaudio.voicefield — it usesoptimize_text_previewinstead.- ASR (
mimo-v2.5-asr) must not receive athinkingfield. input_audio.data/video_url.urlaccept either a public URL or adata:<mime>;base64,...data URL (video base64 capped at 50MB per the docs).- Web search costs per keyword round (
max_keyword, default 3) — see MiMo pricing.force_search(default true) trades freshness against cost;user_locationbiases results, e.g.{"type":"approximate","country":"China","region":"Hubei","city":"Wuhan"}. - Deep thinking (
mimo_think) returnsreasoning_content+content; in multi-turn agent conversations with tool calls,reasoning_contentfrom earlier turns must be echoed back or the API returns 400. - Structured output (
mimo_json) needs an explicit JSON shape description in the prompt (fields, types, nesting); keepmax_completion_tokensgenerous so the JSON is not truncated mid-document.
Tests
python3 tests/test_driver.py # driver request-body assembly (12 cases)
node --test tests/tools.test.mjs # tool registration surface (9 cases)
License
MIT
原始 README: https://github.com/ch1bug/dsh-mimo-agent-tools/blob/main/README.md ↗
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