dsh-sight

Plug-in vision for text-only DeepSeek Harness (dsh) models — paste an image, get a text description through a built-in VLM backend, no model switching.

中文版 → README.zh-CN.md

Features

• Built-in VLM presets — OpenCode Zen (free, keyless) and Gemini Flash (free tier). Pick one in the web settings page, done.
• Multi-image batch — the vision tool takes up to 10 paths/URLs and describes all of them in ONE request, labeled per image.

How it works

1. Prompt-admission override — dsh refuses image pastes for text-only models. dsh-sight wraps apiProxy.sessions.prompt: the paste is accepted, the bytes land in /tmp/dsh-sight/image{N}/{hash}.png, and the image block becomes a path hint before entering history. Works with any provider — no model variant to switch.
2. vision tool — the model calls it with the hint path (or any local path / http(s) URL); the plugin reads the bytes and answers through the configured OpenAI-compatible VLM backend.
3. System-prompt section — teaches the model the hint → vision tool flow.
4. Web settings page (Settings → Vision) — preset dropdown, API-key field, advanced overrides. Saved through the standard settings RPC and applied live, no restart (hot-reload via the dsh-sight: section of $DSH_HOME/settings.yaml).
5. Cache cleanup — pasted images are stored under /tmp/dsh-sight/image{N}/ with MD5 dedup and an LRU cap (maxImages, default 200). A boot-time sweep deletes image* dirs older than 7 days (DSH_SIGHT_MAX_AGE_DAYS), touching only the plugin's own directories; the OS clears /tmp on reboot too.
6. Security — the API key is role('secret') and never rides a settings response. Local reads are capped at 25 MiB; URL fetches get a 30s timeout, a 25 MiB cap, and must claim an image/* content type. Remote bodies are downloaded and inlined — the vision API never receives your URLs (no SSRF surface). Only png/jpeg/webp/gif/bmp are accepted.

Demo

The vision tool's paths array takes up to 10 images per call (local paths or URLs, 25 MiB each). One request, per-image labels:

--- Image 1 ---

--- Image 2 ---

Install

Via your AI agent (recommended) — copy this to your agent:

Install dsh-sight for me: https://raw.githubusercontent.com/Fu3rte/dsh-sight/master/install.md

Or manually:

dsh plugin --profile web add github:Fu3rte/dsh-sight

Or clone it yourself:

git clone https://github.com/Fu3rte/dsh-sight.git
cd dsh-sight && pnpm install
dsh plugin --profile web add ./

Configure

Open dsh web → Settings → Vision:

1. Pick a preset (model / base URL fill themselves).
2. Paste the API key if one is needed, hit Save — applied immediately.

Preset	Provider	Key env	Price
opencode-zen	OpenCode Zen	(keyless)	free tier
gemini-flash	Google AI Studio (OpenAI-compat)	GEMINI_API_KEY	free tier

The keyless preset needs nothing but the save button. Any other OpenAI-compatible endpoint works too: set model / baseUrl in the advanced section.

Headless / no-GUI fallback

Config layers (highest wins):

1. settings.yaml dsh-sight: section (hot-reloads on edit)
2. DSH_SIGHT_* env vars (DSH_SIGHT_PROVIDER, DSH_SIGHT_API_KEY, DSH_SIGHT_MODEL, DSH_SIGHT_BASE_URL, DSH_SIGHT_TIMEOUT_MS, DSH_SIGHT_MAX_TOKENS, DSH_SIGHT_MAX_IMAGES, DSH_SIGHT_CONFIG)
3. ~/.config/dsh-sight/config.json (re-read on mtime change)
4. plugin row config in the profile's cordis.patch.yml
5. preset defaults

The API key is role('secret'): it never rides a settings response; the UI renders a write-only field and reports whether one is stored.

Acknowledgements

Inspired by modlens and dsh-eyes.

DeepSeek Harness: official site · GitHub

License: MIT