dsh-mindseye
MindsEye: model-driven vision tools, structured evidence, and exact cache for DeepSeek Harness
130 results
MindsEye: model-driven vision tools, structured evidence, and exact cache for DeepSeek Harness
DSH-native video understanding with configurable multimodal providers
DeepSeek Harness plugin: bridge image-bearing messages to a user-configured OpenAI-compatible vision endpoint when the active text model cannot see images
Agnes 全模态插件 for DeepSeek Harness:看图(agnes_vision)、生图/图生图(agnes_image)、视觉桥(带图消息可发送并自动交给 Agnes 视觉分析)。密钥经 DSH 凭据服务读取,不写入代码。
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.
A vision bridge for text-only DeepSeek Harness models: registers an `analyze_image` tool that answers questions about images via ANY OpenAI-compatible vision/multimodal endpoint (SiliconFlow, DashScope, Zhipu, OpenRouter, Ollama, ...).
DeepSeek Harness 视觉理解插件:把用户消息与工具结果中的图片翻译成文字描述,交给纯文本任务模型(如 DeepSeek)。
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
Give text-only DeepSeek-V4-Pro real vision with zero new dependencies and DeepSeek-only routing: images are described by deepseek-v4-flash-vision-exp (your existing DEEPSEEK_API_KEY), then the text is handed to V4-Pro.
DeepSeek Harness plugin: PDF→Word (.docx) conversion with layout fidelity (fonts/tables/images/borders), OCR scan mode, and optional multimodal LLM verification. Registers the pdf_to_word model tool.
DSH plugin: auto-detect and configure model capabilities (reasoningEfforts + input modalities) for llm-pi-ai. Successor to dsh-reasoning-efforts.
TokenLab provider bundle for DeepSeek Harness with native Responses, Messages and Chat routing plus full multimodal and async tools.
DeepSeek Harness plugin: route an agent request to a vision model (deepseek-v4-flash-vision-exp) when the user message contains an image, and keep the original model otherwise.
DSH 模型视觉开关:设置页「模型视觉」行,为 llm-pi-ai 自定义路由下手写声明的模型切换 input 视觉模态(settings.mutate 官方通道,热生效)。
Transparent image guard + vision analysis for DeepSeek Harness: text-only models read pasted images without the 400 session deadlock.
Model-facing describe_image + extract_text tools for the DeepSeek Harness web GUI: gives a text-only model reliable image understanding and OCR through an OpenAI-compatible vision endpoint, with critical-inspection prompts, auto-preprocessing, retries, and a persistent answer cache.
Image auto-describe provider for the DeepSeek Harness apiproxy admission seam: transcribes pasted images through configurable vision routes (Qwen first, GLM fallback) so text-only session models still receive image prompts.
给 DeepSeek Harness 加视觉能力:可视化设置页选视觉厂商(Kimi/智谱/通义/OpenAI/Gemini/豆包/MiniMax/阶跃星辰)并粘贴 API Key,聊天里即可拖图识别——图片走视觉模型、文字走 DeepSeek 推理。
A project-scoped multimodal video director plugin for DeepSeek Harness.
Request image optimization, intelligent retention, and observability for DeepSeek Harness (DSH)
DSH 插件:提供文本 / 图像 / 视频 / 语音 / 音乐 五个生成工具,模型从 llm-pi-ai 自动发现,含 Settings UI (llm-multimodal namespace)。
Automatic reasoning and image capability detection for custom DeepSeek Harness models
DeepSeek Harness 视觉助手插件:给没有视觉能力的模型配一个可随时切换的多模态识别模型。输入框图片自动落盘并改写为文本提示,主模型调用 vision_recognize 工具即可完成看图;识别模型在 settings 的 vision-assist 命名空间热更新切换。
DSH bundle: Qwen multimodal bridge — vision (qwen3-vl), speech-to-text (qwen3-asr), text-to-image (qwen-image), via the deepseek-vision skill scripts