# dsh-llm-vision-bridge — DeepSeek Harness plugin install manifest

> Generated: 2026-09-18 10:46 · Source: https://deepseekmodel.com/plugins

## Overview

Native LLM-provider vision bridge: images pasted in the chat are described by a vision model (Qwen3-VL via pi-ai/llama.cpp) and the text description is fed to text-only DeepSeek for the reply — image admission, routing and compaction all run through harness-native mechanisms, with an LRU description cache and 503 retry.

## Plugin info

| Category | Maintainer | GitHub stars | License | Primary language | Last push |
| --- | --- | --- | --- | --- | --- |
| Vision & Multimodal | Einskyle | 3 | — | — | — |

## Install

```bash
dsh plugin --profile web add dsh-llm-vision-bridge
```

## Steps

1. Install and start DeepSeek Harness (DSH, MIT-licensed open-source agent runtime) — `npx @deepseek-ai/dsh web`
2. Run the command above; the CLI resolves the plugin and verifies its source
3. Confirm with dsh plugins list; restart Harness if needed

> To pin a revision, append #commit to the repository spec.

## Audit before installing

Plugins run with your dsh process permissions and may execute code during installation. Read the repository source and license first, check for destructive commands or excessive access, and pin a commit hash for reproducible installs. This manifest is compiled by DeepseekModel from a public plugin catalog for reference only and does not vouch for third-party plugins.

---

- Repository: https://github.com/Einskyle/dsh-llm-vision-bridge
- Plugin page: https://deepseekmodel.com/plugin-detail?id=einskyle%2Fdsh-llm-vision-bridge
- Source: https://deepseek-harness-plugin.com/zh-CN/plugins/ · Generated 2026-09-16