dsh-video-gen
为 DeepSeek Harness 带来文生视频和图生视频生成功能 — DashScope Wanx、Volcengine/Doubao Seedance、Google Veo、OpenAI Sora 和兼容中继。
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add dsh-video-gen@0.2.4Video Gen 以 dsh-video-gen 发布，当前版本为 0.2.4。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
Bring text-to-video and image-to-video generation to DeepSeek Harness — supports Aliyun Wanx, Volcengine/Doubao Seedance, Google Veo, OpenAI Sora, and compatible relays.
English | 简体中文
dsh-video-gen is an open-source video generation plugin built for DeepSeek Harness (DSH).
DeepSeek Harness already enables agents to call various tools to complete tasks. This plugin adds native text-to-video and image-to-video generation:
generate_video (text-to-video) and animate_image (image-to-video)Run in your DeepSeek Harness project root:
# Recommended: install from local directory
pnpm dsh plugin --profile web add ./dsh-video-gen
# Or install from npm (after publishing)
pnpm dsh plugin --profile web add dsh-video-gen@latest
Open the DSH Web UI (default http://localhost:3080):
Credential environment variable names:
DASHSCOPE_API_KEYARK_API_KEYOPENAI_API_KEYGEMINI_API_KEYYou can also set these environment variables in the shell that starts DSH.
Simply tell the agent:
Generate a 5-second video: a cyberpunk cat running through a rainy neon street at night, camera following.
Or animate an existing image:
Animate this image: the cat slowly blinks and its tail swishes, with rain falling in the background.
The agent will automatically call the generate_video or animate_image tool, generate the video, and display it in the conversation.
| Provider | Example Model | Endpoint | Image-to-Video |
|---|---|---|---|
| Aliyun DashScope | wanx2.1-t2v-turbo | https://dashscope.aliyuncs.com/api/v1 | ✅ |
| Volcengine / Doubao | doubao-seedance-1-0-pro-250528 | https://ark.cn-beijing.volces.com/api/v3 | ✅ |
| Google Veo | veo-3.0-generate-preview | https://generativelanguage.googleapis.com/v1beta/interactions | ✅ |
| OpenAI Sora | sora-2 | https://api.openai.com/v1 | ❌ |
generate_video (text-to-video)prompt (required): Complete video description (subject, action, camera, setting, style)size: Resolution or aspect ratio, e.g. 1280*720 (DashScope) or 16:9 (Seedance/Sora)duration: Clip length in seconds, e.g. 5 or 10 (provider-dependent)animate_image (image-to-video)prompt (required): Describe the motion and animation to apply to the source imagesource_path: Absolute or workspace-relative path of a source image filesource_attachment_id: Attachment id of an image already in the conversationsize: Resolution or aspect ratioduration: Clip length in secondsEvery video the agent generates is automatically collected into the Video Gallery — a native session tab next to the conversation (same UX as the dsh-image-gen gallery):
GET /plugins/dsh-video-gen/video?id=… for immediate playback.POST /plugins/dsh-video-gen/video with the attachment reference (videoId + savedTo) re-serves the video from the workspace file when the cache has evicted it or the host restarted. A .dsh-video-gen-index.json marker next to the saved videos authorizes post-restart reads; reads are always confined to that video folder, and the client falls back to the cached route when the file is gone.dsh-video-gen subfolder. The file path is returned in the savedTo field.Available in Settings → Plugins → Video generation:
dsh-video-gen)This project is written in pure ES modules (no TypeScript build step). The client code is pre-wrapped in the __ModuleLoader__.load format. src/index.ts mirrors lib/index.js as the public type surface — do not run tsc build, it would overwrite the hand-maintained bundles.
# Syntax check
npm run check
# Type check (src as the public type surface)
npm run typecheck
# Tests (node:test, no extra dependencies)
npm test
# Install to web profile
pnpm dsh plugin --profile web add ./dsh-video-gen
MIT © Yang-wudi
Portions of this software are adapted from dsh-image-gen (MIT © dsh-image-gen contributors); see LICENSE.
This project is adapted from dsh-image-gen by shanliuling (MIT): the gallery, settings card, in-conversation result cards, and multi-provider architecture derive from its design and code. Thanks to shanliuling for the excellent groundwork.