@goodandready/dsh-vision-bridge
Flagship multimodal vision hub for DeepSeek Harness: ~40 tools, PDF drag-and-drop, LaTeX formulas, complex tables, QR codes, UI flow diagrams, and multi-model consensus.
18 results
Flagship multimodal vision hub for DeepSeek Harness: ~40 tools, PDF drag-and-drop, LaTeX formulas, complex tables, QR codes, UI flow diagrams, and multi-model consensus.
On-demand vision for text-only DSH sessions: images become markers, and a vision_describe tool sends only image + question to an OpenAI-compatible vision model
Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness with source-preserving evidence.
DeepSeek Harness plugin that bridges images to external vision APIs and returns text-only analysis
DeepSeek vision bridge for the dsh web GUI: route image attachments to a vision model (pi-ai / llama.cpp Qwen3-VL) and continue the conversation with the text description on a text-only LLM (DeepSeek)
DSH-native vision bridge for text-only models with native image attachments, multi-image evidence batching, and session-scoped validated Evidence caching.
自包含的 DeepSeek Harness 视觉系统:DeepSeek 视觉孪生路由(原生图片体验 + 视觉桥请求层拦截)+ 本地 Ollama Agentic Vision 工具(describe/OCR/结构化扫描/区域查询/元素定位/双图对比/剪贴板)+ 粘贴分流(paste-to-path)。安装即用,无本机路径依赖。
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,把识别文字喂回主模型,无感、可配置、升级不丢
DSH 装备升级套件:token 费用面板(dsh-cost)、会话文件预览(dsh-plugin-file-preview)、外网搜集(dsh-research-mcp,工具名 mcp__research__*)、视觉桥接(vision-bridge,给无视觉模型看图)、微信双向通道(dsh-wechat-bridge,微信发消息→本机执行→回微信)。已安装时,用户问"花了多少钱/预览这个文件/搜一下外网/看这张图"直接按对应组件办事;未安装时给出 install.sh 一键安装命令。
DSH host plugin: automatically sends images in user messages to a vision model (default mimo-v2.5 on opencode-go) and feeds the returned text description to the main text model (e.g. deepseek-v4-pro), without touching the visible chat transcript.
DSH vision bridge (DSH >= 0.1.2-rc.1): when the selected chat model is text-only, attached images are described by a local Ollama VL model (qwen3-vl:8b) with keep_alive VRAM cooling. Install-time patch of dsh-api-session-controller prompt admission + runtime status companion.
DSH LLM adapter that transcribes native image attachments with Codex Luna before delegating to DeepSeek
DSH 视觉桥接插件:让无视觉能力的主模型看图(会话收图 + 自动转文字 + view_image 工具)
DeepSeek Harness plugin: bridge image-bearing messages to a user-configured OpenAI-compatible vision endpoint when the active text model cannot see images
Image generation for DeepSeek Harness: a generate_image tool with pluggable providers — the FAL queue API or any OpenAI-compatible images API. The picture is shown inline in the conversation; the model receives either a link (works with any chat model) or the image itself (needs dsh-vision-bridge or a vision-capable model).
Let text-only models see images in DeepSeek Harness: intercepts the llm/stream waterfall and transparently substitutes each image with a vision model's description.
DSH plugin (DeepSeek vision bridge): give text-only agents vision through chat.deepseek.com's unofficial vision mode — WeChat-QR/password login in Settings, a deepseek_vision model tool, and automatic in-chat image transcription.
当用户需要在 dsh web 中配置、修复或验证“图片 → 其他 VLM 识图 → 返回 DeepSeek 输出”的路由(视觉桥接)时使用。包含安装、配置、凭据、重启、验证与回滚的完整步骤。安全红线:严禁泄露、打印或提交任何 API Key。