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dsh-official-vision
Advanced tools
Direct DeepSeek official vision API bridge for DeepSeek Harness: registers the deepseek-v4-flash-vision-exp multimodal model as a provider route, with base64 inline and Files API image input. 直连 DeepSeek 官方视觉 API 的 DSH 插件
直连 DeepSeek 官方视觉 API 的 DeepSeek Harness (DSH) 插件 — 注册官方多模态模型
deepseek-v4-flash-vision-exp 为 provider 路由,图片直接送入官方 API,不经任何第三方模型。
Direct DeepSeek official vision API bridge for DeepSeek Harness: registers the
official multimodal model deepseek-v4-flash-vision-exp as a provider route and
streams images straight to https://api.deepseek.com — no third-party vision model.
deepseek 路由。dsh plugin --profile web add dsh-official-vision
在 设置 → 插件 → dsh-official-vision 或 profile 的 cordis.patch.yml 中:
- id: dsh-official-vision
name: 'dsh-official-vision'
config:
apiKeyEnv: DEEPSEEK_API_KEY # 官方 API key 的环境变量名(credential-ref)
baseURL: https://api.deepseek.com
delegateProvider: deepseek # 无图请求委托的路由
detail: auto # low | high | original | auto
maxImagesPerRequest: 600
preferFilesApi: false # true = 走 Files API(file_id,支持 >32MiB 图)
使用:模型选择器中选择 DeepSeek-V4-Flash-Vision-Exp 路由,直接粘贴图片提问。
| 项 | 值 |
|---|---|
| 模型 | deepseek-v4-flash-vision-exp |
| base_url | https://api.deepseek.com |
| 图片格式 | JPEG / PNG / GIF / WebP |
| 计费 | 图转 token,一张最多 384 tokens,价格同 V4-Flash |
| 限制 | 请求体 ≤48MiB;单图 base64 ≤32MiB;Files API 单图 ≤64MiB;单请求 ≤600 图 |
| 模式 | 机制 | 适用 |
|---|---|---|
| base64 内联(默认) | data:image/*;base64,... | 本地图片,≤32MiB |
Files API(preferFilesApi: true) | 先 POST /files 上传,请求中引用 file_id(带 digest 去重缓存) | 大图(>32MiB)/ 多次复用同一图 |
pnpm install
pnpm build # tsc → lib/
pnpm test # vitest
MIT
FAQs
Direct DeepSeek official vision API bridge for DeepSeek Harness: registers the deepseek-v4-flash-vision-exp multimodal model as a provider route, with base64 inline and Files API image input. 直连 DeepSeek 官方视觉 API 的 DSH 插件
The npm package dsh-official-vision receives a total of 0 weekly downloads. As such, dsh-official-vision popularity was classified as not popular.
We found that dsh-official-vision demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.

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