dsh-mimo-agent-tools

by ch1bug

工具与能力github收录于 08-23

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-tools

GitHub 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_search tool requires the connected-search plugin enabled in the MiMo console.
  • python3 on the host (used by driver/mimo_driver.py).
  • DSH host with the shell and sandboxPolicy services.

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 style instruction rides the user message for preset voices and becomes an inline (风格) tag prefix for voicedesign voices.
  • mimo-v2.5-tts-voicedesign does not accept an audio.voice field — it uses optimize_text_preview instead.
  • ASR (mimo-v2.5-asr) must not receive a thinking field.
  • input_audio.data / video_url.url accept either a public URL or a data:<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_location biases results, e.g. {"type":"approximate","country":"China","region":"Hubei","city":"Wuhan"}.
  • Deep thinking (mimo_think) returns reasoning_content + content; in multi-turn agent conversations with tool calls, reasoning_content from 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); keep max_completion_tokens generous 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 ↗