dsh-asimovbox
Create, edit, render, and finish AsimovBox videos from DeepSeek Harness.
153 results
Create, edit, render, and finish AsimovBox videos from DeepSeek Harness.
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。
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.
dsh-voice — turn-based voice loop for DeepSeek Harness: pluggable Qwen / MiMo / local ASR+TTS engines, agent-driven speak/listen tools and browser PTT UI, built for interviewer presets
Image translation for non-multimodal models via GLM-4V-Flash: intercepts images, generates descriptions, injects as text.
DSH DeepSeek Harness plugin: Add PaddleOCR vision to text-only LLMs (Agnes, DeepSeek, MiniMax, GLM, Mimo). 为DeepSeek Harness纯文本模型添加图片识别能力,支持本地截图和文档OCR。
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.
DeepSeek Harness 余额与开销插件:状态栏显示 DeepSeek/MiMo 余额与花费(本会话/本次活跃/最近一次/上次对话),逐请求按模型+峰谷时段计价,支持花费超线提醒(点击设置)
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).
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。
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)。
Extensible animated theme library for DeepSeek Harness
DSH 文件适配插件(面向 DSH 0.1.2-alpha.1):拖拽/粘贴/点击上传/@ 文件引用加入本地文件,以「文件:<路径>」引用随消息发出;主模型按需调用 dshomnifile 工具解析——文本多编码直读、Office/PDF 等文档由 anydoc 提文本、文档内嵌图片与扫描/图文混排 PDF 页由进程内 pdfjs 渲染 + 配置的多模态模型识别(内容哈希缓存 + 并发排队)并组装为 Markdown;聊天内文件卡片可预览图片、本地打开源文件;识别走官方 ctx.llm.stream。
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 插件:语音 + 通知出口——agent 通过云端 TTS(火山 seed-tts / 小米 MiMo V2.5,失败自动回退 SAPI)/ 桌面通知 / 提示音主动联系用户。融合 dsh-plugin-notify 的 DSH 原生深度集成与 agent-voice-mcp-minus 的云端 TTS 调优,零 Python 依赖,Windows 原生。
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 skill bundle: competition math (IMO/Putnam/USAMO/AIME) solved with a pure-reasoning pass, an adversarial verifier in a fresh subagent context attacking concrete failure modes, and calibrated confidence output (high / medium / honest "no confident solution"); optional LaTeX→PDF rendering.
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)。
A project-scoped multimodal video director plugin for DeepSeek Harness.
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.