Lab-sku/dsh-mingmu
Lab-sku★ 0JavaScript最后同步: 2026-08-19
明眸 VisionBridge - 自研视觉桥:瞎子模型收图时自动调用视觉模型识别
README 摘要
明眸 Mingmu(dsh-mingmu) English 中文 给 DeepSeek Harness(dsh)的纯文本模型装上「外挂眼睛」:上传图片时,若当前模型不支持视觉(瞎子模型),自动调用视觉模型识别,把识别文字喂回主模型继续处理——全程无感;真视觉模型则保持原生看图,不拦截。 纯 ESM 插件,零源码改动,卸载即还原。已在 dsh 0.1.0-rc.6 实测。 English Intro Mingmu is a dsh plugin that gives text-only models the ability to "see". When you attach an image, it automatically calls a vision-capable model to describe the image and feeds the result back to the main model as text. Vision-native models are left untouched. Configuration is done through the dsh Web UI or environment variables. ⚠️ Privacy / Data Notice By default, images are sent to a third-party vision API endpoint ( https://api.siliconflow.cn/v1 by default). Your API key is stored in the dsh credential vault ( /.dsh/.credentials.yaml ), not in the plugin configuration. You can change the endpoint to any OpenAI-compatible vision provider. Please review the provider's privacy policy before use. 特性 - 按模型能力触发 :只有真实不支持图片的模型才走桥接;真视觉模型原生直连看图。 - 全球视觉模型启发式识别 :按模型名自动识别 OpenAI、Anthropic、Google、Qwen、MiniMax、Kimi、GLM、DeepSeek-VL 等 20+ 视觉模型家族,对 pi-ai 官方 catalog 中约 98% 的视觉模型有效;拿不准的自动走桥接。 - 自动升级(默认) :先用首选识别模型,失败或结果为空时自动切换备选模型;高级用户可用 DSH VISION STRATEGY=race 开启并发赛跑。 - 设置页可视化配置 :注册 vision-bridge 设置…
在 GitHub 查看完整 README →分类
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