dsh-vision-fallback
Routes chat images to a fixed OpenAI-compatible vision model, returns factual observations to the selected main model, and reuses session-scoped observations across replay, compaction, and restarts.
将聊天图片交给固定的 OpenAI 兼容视觉模型，把事实性观察交给当前主模型，并在事件回放、上下文压缩和重启时复用会话内观察。
How to install
dsh plugin add dsh-vision-fallback About
dsh-vision-fallback English | 中文 Silent vision enhancement for DeepSeek Harness (dsh): keep your real text-only main model (e.g. deepseek-v4-flash), and let chat images "just work" — every image you drop, paste, or reference in the chat box is automatically sent to a fixed vision model, converted into a factual text observation, and handed to your main model as hidden context. The UI keeps showing your original image; no model groups, no model switching, no extra tools. Why DeepSeek V4 Flash / Pro and other strong coding models are **text-only**: dropping an image into the chat box fails with …
Recommendation signals
Meta
- License
- MIT
- Language
- JavaScript
- GitHub stars
- 1
- mo. downloads
- 454
- Last push
- 2026-09-03
- Created
- 2026-08-14
Basic safety check
- Findings
- None
- Sources
- curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
- Topics
- deepseek-harness, dsh, dsh-plugin, image, multimodal, vision
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