dsh-doc-review
Document-review modal for DeepSeek Harness web: design documents and plan reviews open in a full rendered-markdown modal instead of the compact composer card.
153 results
Document-review modal for DeepSeek Harness web: design documents and plan reviews open in a full rendered-markdown modal instead of the compact composer card.
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 plugin to sync opencode-go model catalog with precise multi-modal support
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
Vision bundle + plugin for DeepSeek Harness: the describe_image tool reads local images and asks any configured multimodal route, with zero core changes
DSH Web UI model seat: 3-level quick slider (low/medium/high, each preconfigured with model + reasoning effort), advanced model/effort picker, modality icons, and per-provider usage/balance display. DSH 模型选择器增强:低中高三档快切滑块 + 高级选择 + 模态图标 + 供应商用量显示。
DSH plugin: keep text-only models (deepseek-v4-flash / deepseek-v4-pro) as the session default, and automatically route requests that carry image content to a configured vision-capable model (deepseek-v4-flash-vision-exp) 鈥?no manual model switching (periscope).
Zero-config local vision and realtime audio routing for DeepSeek Harness
DSH 图片插件,三个工具覆盖三种场景:ask_user_choice 图片/图文混合选择卡(Web GUI 渲染,可放大查看)+ show_images 回复内嵌图片(图文混排)+ save_received_images 盲模型收图存为工作区文件;聊天栏所有图片点击放大,支持滚轮缩放与拖拽平移。来源支持本地路径 / http(s) URL / base64 data URI。零 token 本地渲染,纯插件实现不改核心包。
DeepSeek Harness (dsh) plugin: route one request to a modality-capable fallback model instead of forcing the whole session onto a single model.
Image translation for non-multimodal models via GLM-4V-Flash: intercepts images, generates descriptions, injects as text.
DeepSeek balance & token-cost plugin for DeepSeek Harness (dual-face): query official balances of every DeepSeek provider (multi API key), compute costs (last question / session / today-project / today-all) from token usage with a user-editable price table. Unified modal UI, bilingual (zh/en)
Automatic per-task model hot-switching for DeepSeek Harness (dsh): image-aware tasks route to the vision model automatically, every other task keeps your default model. Zero extra tokens, no context disturbance.
DSH plugin: auto-detect and configure model capabilities (reasoningEfforts + input modalities) for llm-pi-ai. Successor to dsh-reasoning-efforts.
OmniRoute model manager: searchable/filterable multi-select UI to control which OmniRoute models DSH uses, with modality discovery and OmniRoute-backed web search.
DeepSeek Harness web plugin: a Model Capabilities settings page for declaring model input modalities, context window, output cap and image budgets without hand-editing settings.yaml.