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deepseek-vl-support

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2026-08-20最近推送
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功能简介

Give DeepSeek (text-only) models **vision** in Claude Code and Codex by routing image files to any OpenAI-compatible vision endpoint (OpenRouter, SiliconFlow, DashScope, Ollama, llama.cpp, vLLM, LM Studio, …). Zero runtime dependencies, MIT licensed.

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未验证 — 尚未实测

Give DeepSeek (text-only) models **vision** in Claude Code and Codex by routing image files to any OpenAI-compatible vision endpoint (OpenRouter, SiliconFlow, DashScope, Ollama, llama.cpp, vLLM, LM Studio, …). Zero runtime dependencies, MIT licensed. 尚未验证——请自行安装测试。

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README

deepseek-vl-support — Give DeepSeek vision capabilities with external vision models

deepseek-vl-support

中文说明docs/README.zh-CN.md

What this does

Some AI models (like DeepSeek) can read your files, but they cannot see pictures.
Screenshots of errors, UI mockups, charts — invisible to them.

This small tool gives them "eyes". Once installed, whenever the model tries to read a
picture, the tool sends it to a vision service of your choice (Moonshot, OpenRouter,
SiliconFlow, Ollama …), receives a detailed text description, and hands it to the model —
as if the model could see the picture.

Model reads screenshot.png
  → the tool intercepts the read
  → picture → vision service → detailed text description comes back
  → the model receives: "[Vision of screenshot.png]: <description>"
  → the model answers from the description

No model settings to change, no config files to write — it works automatically after a
one-time setup. One command to install, one command to remove. MIT licensed.

Who this is for

You use a text-only model (such as DeepSeek) in any AI coding agent or IDE and want it
to understand pictures: error screenshots, UI mockups, charts, photos of notes. Pick your
tool in the install wizard below — there is a one-command install
for every supported agent, including Claude Code, Codex, Cursor, GitHub Copilot, VS Code,
OpenCode, Trae, Qwen Code, and 14 more.

Before you start (what you need)

  1. Node.js 18 or newer — check with node -v. Not installed? Get it at
    https://nodejs.org.
  2. An account at a vision service, plus its API key — a vision service is the "eyes
    provider": a website that looks at pictures for you. Cloud options: Moonshot,
    OpenRouter, MiniMax, Zhipu GLM, StepFun, OpenCode Zen, SiliconFlow, DashScope. Free
    local options (run on your own computer): Ollama, llama.cpp, vLLM, LM Studio. The API
    key is a secret code from that service (usually under "API keys"); the installer asks
    for it once and stores it only on your computer.
  3. Your AI agent installed — any of the supported ones below.

Quick install wizard

Open a terminal in your project folder and run:

cd path/to/your/project
npx deepseek-vl-support@latest install

That's the whole install — the wizard auto-detects the agents on your machine and asks 7
short questions. Almost every question has a sensible default: just press Enter. The
two that matter: which agents should get vision (pre-selected) and which vision service +
API key to use (choose Decide later, the last option, if you want to sort that out
afterwards).

When it finishes, restart your session — the installer prints this reminder, and it is
required for the effect to kick in. Optional check:

npx deepseek-vl-support@latest doctor    # look for [OK]

Re-running on the same project? It asks whether to keep your current settings — Enter
keeps them.

No terminal? Ask your agent to install it. If you use a tool that supports the Agent
Plugins standard (GitHub Copilot, Cursor, Kiro, OpenClaw, Hermes Agent, VS Code, ChatGPT &
Codex, Grok Bot, NanoClaw, and other spec-compliant agents), just say in the conversation:

Install the plugin from https://github.com/limccn/deepseek-vl-support and enable it

After a GitHub install, configure the vision endpoint once with
npx deepseek-vl-support@latest install --target <your agent> (or environment variables —
see Changing settings).

One-command install per agent

Everything below is equivalent to the wizard above — just narrowed to one agent. Pick
yours:

Claude Code

1. Install

npx deepseek-vl-support@latest install --target claude

2. After install — restart your session, then read any picture: the description
arrives automatically (/vision path.png for manual use).

Codex

1. Ask Codex to install it

Install the plugin from https://github.com/limccn/deepseek-vl-support and enable it

2. Or install via npx

npx deepseek-vl-support@latest install --target codex

3. After install — restart Codex, then ask it to describe a picture.

OpenCode

1. Install

npx deepseek-vl-support@latest install --target opencode

2. After install — restart OpenCode.

Trae

1. Install

npx deepseek-vl-support@latest install --target trae

2. After install — import the skill once: Settings → Rules & Skills → Create/Import.

Pi Coding Agent

1. Native install (recommended) — skill + extension in one command

pi install npm:deepseek-vl-support

2. Or install via npx

npx deepseek-vl-support@latest install --target pi

3. After install — restart Pi.

Oh My Pi

1. Native install (recommended)

omp install npm:deepseek-vl-support

2. Or install via npx

npx deepseek-vl-support@latest install --target omp

3. After install — run /reload-plugins (no restart needed).

DeepSeek Harness

1. Native install (recommended) — in-process tools, no subprocess

dsh plugin --profile web add deepseek-vl-support@latest

2. Or install via npx

npx deepseek-vl-support@latest install --target dsh

3. After install — restart the dsh web session.

Qwen Code

1. Install

npx deepseek-vl-support@latest install --target qwen

2. After install — restart Qwen Code.

Reasonix

1. Install

npx deepseek-vl-support@latest install --target reasonix

2. After install — restart Reasonix.

Kilo Code

1. Install

npx deepseek-vl-support@latest install --target kilo

2. After install — restart Kilo Code.

WorkBuddy (CodeBuddy Code)

1. Install

npx deepseek-vl-support@latest install --target workbuddy

2. After install — restart WorkBuddy.

Devin

1. Install

npx deepseek-vl-support@latest install --target devin

2. After install — restart Devin. (Devin's CLI has no official npm package — download
it from https://devin.ai/download.)

GitHub Copilot

1. Ask Copilot to install it

Install the plugin from https://github.com/limccn/deepseek-vl-support and enable it

2. Or install via npx

npx deepseek-vl-support@latest install --target copilot

3. After install — check copilot plugin list.

Cursor

1. Ask Cursor to install it

Install the plugin from https://github.com/limccn/deepseek-vl-support and enable it

2. Or install via npx

npx deepseek-vl-support@latest install --target cursor

3. After install — reload the window (Developer → Reload Window).

Kiro

1. Ask Kiro to install it

Install the plugin from https://github.com/limccn/deepseek-vl-support and enable it

2. Or install via npx

npx deepseek-vl-support@latest install --target kiro

3. After install — import once: Kiro → Powers → Add Custom Power → Import from folder
~/.deepseek-vl/plugin.

OpenClaw

1. Ask OpenClaw to install it

Install the plugin from https://github.com/limccn/deepseek-vl-support and enable it

2. Or install via npx

npx deepseek-vl-support@latest install --target openclaw

3. After install — restart the gateway, verify with openclaw plugins list.

Hermes Agent

1. Ask Hermes to install it

Install the plugin from https://github.com/limccn/deepseek-vl-support and enable it

2. Or install via npx

npx deepseek-vl-support@latest install --target hermes

3. After install — verify with hermes plugins list.

VS Code

1. Ask in a VS Code chat

Install the plugin from https://github.com/limccn/deepseek-vl-support and enable it

2. Or install via npx

npx deepseek-vl-support@latest install --target vscode

3. After install — reload the window.

ChatGPT & Codex

1. Ask ChatGPT or Codex to install it

Install the plugin from https://github.com/limccn/deepseek-vl-support and enable it

2. Or install via npx

npx deepseek-vl-support@latest install --target chatgpt-codex

3. After install — start a new Codex thread or ChatGPT session.

Grok Bot

1. Ask Grok to install it

Install the plugin from https://github.com/limccn/deepseek-vl-support and enable it

2. Or install via npx

npx deepseek-vl-support@latest install --target grok

3. After install — press r in the Plugins tab or start a new session.

NanoClaw

1. Ask NanoClaw to install it

Install the plugin from https://github.com/limccn/deepseek-vl-support and enable it

2. Or install via npx

npx deepseek-vl-support@latest install --target nanoclaw

3. After install — run ncl wirings create per the printed guidance.

Other agents (Agent Plugins open standard)

1. Ask Agent to install it

Install the plugin from https://github.com/limccn/deepseek-vl-support and enable it

2. Or install via npx

npx deepseek-vl-support@latest install --target other
Mixed setup — install for several agents at once

Any combination works, comma-separated:

npx deepseek-vl-support@latest install --target claude,copilot

Or all 10 plugin clients in one run:

npx deepseek-vl-support@latest install --target copilot,cursor,kiro,openclaw,hermes,vscode,chatgpt-codex,grok,nanoclaw,other

All supported agents at a glance:

Agent --target
Claude Code claude
Codex codex
OpenCode opencode
Trae trae
Pi Coding Agent pi
Oh My Pi omp
DeepSeek Harness dsh
Qwen Code qwen
Reasonix reasonix
Kilo Code kilo
WorkBuddy (CodeBuddy Code) workbuddy
Devin devin
GitHub Copilot copilot
Cursor cursor
Kiro kiro
OpenClaw openclaw
Hermes Agent hermes
VS Code vscode
ChatGPT & Codex chatgpt-codex
Grok Bot grok
NanoClaw nanoclaw
Other agents other

Try it out

Fastest check — describe a picture directly in the terminal:

npx deepseek-vl-support@latest describe path/to/a/picture.png

A good text description comes back → everything is wired up. From then on, just read
pictures in your agent as usual — the description arrives automatically.

Choosing a vision service

The installer offers the same services as presets — no need to remember these URLs unless
you configure manually:

Service base URL Example model
Moonshot https://api.moonshot.cn/v1 moonshot-v1-32k-vision-preview
OpenRouter https://openrouter.ai/api/v1 qwen/qwen2.5-vl-72b-instruct
MiniMax https://api.minimaxi.com/v1 MiniMax-VL-01
Zhipu GLM https://open.bigmodel.cn/api/paas/v4 glm-4v-flash
StepFun https://api.stepfun.com/v1 step-1o-turbo-vision
OpenCode Zen https://opencode.ai/zen/v1 mimo-v2.5-free
SiliconFlow https://api.siliconflow.cn/v1 Qwen/Qwen2.5-VL-72B-Instruct
DashScope https://dashscope.aliyuncs.com/compatible-mode/v1 qwen-vl-max
Ollama (local) http://localhost:11434/v1 qwen2.5vl:7b (run ollama pull qwen2.5vl:7b first)
llama.cpp (local) http://localhost:8080/v1 llava (llama-server -m llava.gguf)
vLLM (local) http://localhost:8000/v1 deepseek-ai/deepseek-vl2
LM Studio (local) http://localhost:1234/v1 qwen2.5-vl-7b-instruct

Everyday commands

What you want Command
Install npx deepseek-vl-support@latest install
Health check npx deepseek-vl-support@latest doctor
Describe a picture now npx deepseek-vl-support@latest describe picture.png
See current settings npx deepseek-vl-support@latest config get
Change a setting npx deepseek-vl-support@latest config set maxBytes 5242880
Remove the tool npx deepseek-vl-support@latest uninstall

Changing settings

Your answers are saved in .deepseek-vl/config.json inside the project folder — usually
you never need to touch it. The two settings worth knowing:

Setting Meaning Default
maxBytes Pictures bigger than this are skipped (saves time and money) 10485760 (10 MB)
timeoutMs How long to wait for one description 120000 (2 minutes)

Example — skip pictures over 5 MB:

npx deepseek-vl-support@latest config set maxBytes 5242880

Describing the same picture twice is free: results are cached on your machine (64 MB
limit). Change the picture and it gets described again. Everything can also be set with
environment variables (VISION_MODEL, VISION_BASE_URL, …) — see
CLAUDE.md for the full reference.

Troubleshooting

Symptom What to do
The model still doesn't describe pictures Restart the session (required after install), then run … doctor and look for [OK].
doctor says no model configured You chose Decide later during install. Configure a model now: config set model <id> (plus config set baseUrl <url> if not using the default).
doctor shows "unreachable" / no [OK] The service address or key is wrong — check the base URL ends with /v1 and the API key is correct.
"image too large" hint Compress or crop the picture (e.g. under 5 MB, long side ~2000 px), or raise the limit with config set maxBytes ….
Descriptions are slow Lower the limit or switch to a faster service (see the table above).
Pasted (Ctrl+V) pictures are not described Pasted images bypass the read path — save the picture as a file first, then read it (or use /vision / describe_image).

More edge cases (Windows encoding, Codex-specific quirks, reasoning-model notes) live in
CLAUDE.md and docs/README.zh-CN.md.

Acknowledgements

This project was inspired by
pi-deepseek-vision — thanks to
psychobarge for the open-source work.

Contributing

Contributions are welcome — see CONTRIBUTING.md for how to report
issues and set up a development environment.

License

MIT

安装

🧩 让 Agent 自动装(推荐)

装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:

dsh plugin add dshbase-catalog

然后对 agent 说「帮我装 deepseek-vl-support」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包

该插件是 GitHub 源码(未发 npm)——直接从仓库装:

Web profile:

dsh plugin --profile web add github:limccn/deepseek-vl-support

Headless(CLI)profile:

dsh plugin --profile headless add github:limccn/deepseek-vl-support

实测报告

尚未 L3 验证——若已跑过,见下方失败备注。

状态:pending · 最近测试 2026-08-26
备注:验证: runtime-fail 浏览全部待验证失败 →
安全:尚未扫描——我们的每日静态扫描将很快覆盖它。

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