dsh-vision-dashscope
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| recognize_imageA | 识别本地图片或图片 URL，按 task 调用千问多模态模型。 |
| recognize_videoA | 识别本地视频或视频 URL。 大文件（>14MB）自动走百炼临时 OSS 直传（上限 1GB、不压缩画质），小文件走 base64；支持任意浏览器不可播放的容器（mkv/avi 等），由模型服务端解码抽帧。 |
| recognize_audioA | 识别本地音频或音频 URL。 短音频（≤300s 且 ≤10MB）走 qwen3.5-omni 直接理解内容；长音频自动走 fun-asr 异步转写（本地文件先上传到临时 OSS），返回纯文本转录。 |
| dashscope_statusA | 查看当前模型与限制配置（不含 API Key）。 |
| generate_imageA | 文生图。生成结果下载到本地输出目录并返回路径（配合 dsh-image-preview 可内联预览）。 |
| generate_videoA | 文生视频。生成结果下载到本地输出目录并返回路径。 |
| generate_video_from_imageB | 图生视频：以图片为首帧生成视频。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 7 tools
Each tool targets a distinct modality and action: recognize_image/video/audio are clearly separate input types, while generate_image/video/video_from_image are distinct generation tasks. dashscope_status is the only non-media utility, so there is no real ambiguity.
The recognize_* and generate_* groups follow a consistent verb_noun underscore pattern. dashscope_status is the only outlier since it uses a noun-style name rather than verb_noun, but the overall convention is still predictable and readable.
Seven tools is well-scoped for a vision/media DashScope server. Each tool covers a meaningful capability without redundant or excessive surface area.
The tool set covers both major media understanding paths (image, video, audio) and generation paths (image, video, image-to-video). The status tool fills the configuration/inspection need, and there are no obvious dead ends for the stated domain.