Vision, voix et multimodal

Automatic tier-based model routing for DeepSeek Harness: a virtual `smart` model classifies each request by difficulty (hard / normal / easy) and by vision need, then delegates it to the models you already configured. 三级难度 + 视觉自动路由，虚拟 smart 模型零配置接入。

DSH voice input plugin: browser realtime + VAD dictation + local/cloud ASR + DeepSeek AI polish

System-audio driven UI visualizer for DeepSeek Harness: a draggable 48-band spectrum chip plus a frame-wide bass glow (memory-only FFT).

Adds a file-picker 'attach image' button to the composer toolbar, since DSH's own web client only supports paste and drag-and-drop for image attachments (v1 scope, per its own upstream design notes) - a real gap for touch devices with no drag-and-drop and

DSH (DeepSeek Harness) ComfyUI 桥接插件：让 Agent 直接驱动本地/局域网 ComfyUI 生图生视频 — 8 个全局模型工具、预设工作流模板(txt2img/img2img/Wan/SVD/H3)、任意 API 工作流逃生舱、设备能力守卫、模型注册表断点续传下载、ComfyUI 一键安装评估。ComfyUI bridge plugin for DeepSeek Harness: image & video generation tools driving a local

DeepSeek Harness Web plugin that keeps image-bearing Tool results visible after Compact transcript folding

Xiaomi MiMo-powered voice for DeepSeek Harness: browser 🎤/🧠/🔊 UI, voice_transcribe/voice_understand/voice_speak tools, configurable voice map (preset/voicedesign/voiceclone). Fork of zhuiyueya/dsh-voice (MIT), Settings pattern from Anionex/dsh-vision-toolkit (MIT).

Digests the images in a prompt with a vision model before admission, so any model — a text-only one included — can read them without the session ever switching models, and adds a describe_image tool for image paths.

Trims historical images in outgoing chat requests down to a recent-image count, learns the provider per-prompt image cap from HTTP 400 responses, and retries with fewer images so image-heavy sessions keep working.

Three tools for DeepSeek Harness: typeset LaTeX formulas into images, draw mathematical figures from a declarative spec, and convert a formula or SVG into an image ready to embed in a document.

Voice input plugin (dual-face): mic button beside the composer send action, live recording bubble streaming PCM to a local Qwen3-ASR python service managed by the host, plus an ASR environment settings page (clone runtime/model repos, create venv, run ser

Reads AI replies aloud as they stream, with voiced waiting phrases while the model thinks. Edge TTS built in, any OpenAI-compatible cloud engine supported.

Configure multiple image providers in Settings and call image_generate with the one selected model; images save under generate/image and show inline in the conversation.

DeepSeek Harness plugin: turn lines of narration into a finished vertical reel. Free neural voice-over, burned-in captions, no API keys.

Minimal English-only voice input for the DeepSeek Harness Web UI: a mic button in the composer that transcribes speech into the draft via the browser's native SpeechRecognition API. No dependencies, no subprocess, no network calls beyond whatever the brow

Turn-end notification sound for DSH: built-in internet meme voices (ni gan ma ai yo, ji ni tai mei, shen ying ge, etc.), Settings panel with preview/switch/random, custom audio folder support.

Voice for the DeepSeek Harness: speak to the agent, hear it back, and see what it is doing from a floating window that stays on top of whatever you are running.

DeepSeek Harness (DSH) 会话内图片渲染插件：全局 show_image 工具 + 点击放大 lightbox。 | Inline image rendering plugin for DSH: global show_image tool + click-to-enlarge lightbox.

DeepSeek Harness plugin: a model-facing show_image tool that presents a local image to the human viewer in the conversation.

Voice control for the DSH web composer: push-to-talk speech-to-text into the input box (with optional auto-send), spoken playback of assistant replies via the Web Speech API, right-click settings popover, and a global Ctrl+M hotkey.

Vision bridge for text-only DeepSeek models: transcribes attached images with deepseek-v4-flash-vision-exp before they reach deepseek-v4-pro, with no third-party dependencies.

Apple on-device Vision tools for text-only dsh models: local OCR (zh-Hans + 30 langs), image classification, face detection, document layout, and a combined describe — 100% offline, no API key, tall-screenshot slicing.

Model-facing image-generation tool with a configurable channel and normalized image parameters.

Adds image input and recognition through configured DSH providers or an OpenAI-compatible endpoint.