deepseek-harness-SupportVisionModel¶

⭐ 8 · ✅ 活跃 · 插件


类型	插件	分类	视觉与多模态
星数	⭐ 8	状态	✅ 活跃
作者	TryDing-T	更新时间	2026-08-14
子分类	👁️ 视觉工具	能力	multimodal, vision

一句话介绍¶

基于 deepseek-harness 二次开发：支持单独配置视觉模型读图。

详细介绍¶

DeepSeek Harness SupportVisionModel is a community fork of DeepSeek Harness. It keeps the upstream plugin architecture and adds a unified image-routing path for image-capable and text-only main models. This repository is maintained independently at TryDing-T/deepseek-harness-SupportVisionModel. It is not an official DeepSeek AI distribution.

✨ 核心特性¶

Model catalog entries can explicitly declare text-and-image input support.
A dedicated Vision settings page selects the auxiliary provider and model, maximum attempts, per-attempt timeout, and output-token limit.
Image-capable main models receive the original image attachments.
Text-only or unknown-capability main models receive a validated description from the configured vision model.
Missing or exhausted vision routes degrade to explicit attachment references instead of rejecting a successful user or tool action.
Web uploads, top-level tool image results, ordinary read_image, and nested Code Mode read_image share the same router.

📦 安装¶

git clone https://github.com/TryDing-T/deepseek-harness-SupportVisionModel.git
cd deepseek-harness-SupportVisionModel
pnpm install
pnpm run build
pnpm dsh web

🚀 快速开始¶

git fetch upstream
git diff main..upstream/master

📚 更多信息¶

Configure the vision route

The auxiliary model must explicitly declare both text and image input support. One attempt sends the complete ordered image batch without tools.

Configure image routing

Open Settings → Models, configure the provider, model, and API key, then enable Supports images only for a real multimodal endpoint. 2. Open Settings → Vision, select that provider and model, and set the attempt, timeout, and output-token limits. 3. Select any main model. Image-capable models receive images directly; text-only models use the configured vision route. API keys belong