dsh-subscription-media-suite
Connect an official Grok subscription to DSH as an ACP subagent, extending its native image support with audio and video tools.
151 results
Connect an official Grok subscription to DSH as an ACP subagent, extending its native image support with audio and video tools.
百炼(DashScope)上的 Kimi LLM 适配器插件:支持 kimi-k3 图片输入、思考链与工具调用
Lightweight, route-preserving vision link for DSH: a configured vision model sees while the selected text model stays in control.
锑元素
Model-facing analyze_image tool for the DeepSeek Harness: multi-modal image understanding via any OpenAI- or Anthropic-compatible vision API, with 8 analysis modes, local path / http(s) URL / data URL input, and a Web UI hint that guides image-incapable models to the reliable local-path route.
88API Image Studio for DSH: six Image2, Image 2.5, and Nano Banana models for text-to-image, multi-reference editing, 2K/4K output, and sequential batches.
Vision toolkit for DeepSeek Harness -- glance, ground, detect, crop CLI tools for text-only agents to understand images
Plug-in vision for text-only LLMs — a DeepSeek Harness (dsh) fork of ModLens adding multi-engine support (Gemini, Volcengine Ark/Doubao, Claude) and per-call engine selection
DeepSeek Harness plugin: Bilibili keyword video search, video metadata, subtitle transcripts, direct play URLs, and multimodal frame viewing (bilibili_search / bilibili_video / bilibili_subtitles / bilibili_playurl / bilibili_frames). Anonymous by default with risk-control bootstrapping; an optional SESSDATA unlocks login-gated subtitles and higher-quality streams.
DeepSeek Harness plugin: direct multimodal image transfer declarations + per-session image clearing, reasoning-effort auto-fill, and progressive Figma MCP bridging (design-to-code + AI-driven design).
DeepSeek Harness plugin that enhances custom provider setup by auto-discovering models and auto-populating contextWindow, maxTokens, vision, and reasoning capabilities from models.dev
DeepSeek Harness 视觉桥:自动发现你已配置的多模态模型,给纯文本主模型装上 vision 工具,识别结果以纯文本返回。零配置,一条命令安装。
deepseek-eyes:给 DeepSeek Harness 的纯文本模型装上眼睛——把粘贴的图片经 OpenAI 兼容视觉 API 转成文字描述,再转发给真实的文本模型(Give text-only models in DeepSeek Harness eyes: describe pasted images via an OpenAI-compatible vision API, then forward to the real provider. Not affiliated with DeepSeek.)
On-demand vision for text-only LLMs in DeepSeek Harness: keep pasted/attached images in the backend, and let the model call view_image to look at them anytime via any OpenAI-compatible vision endpoint — as if the model were natively multimodal.
dsh-eye-vision: give text-only DeepSeek Harness models eyes — image understanding via any OpenAI-compatible multimodal API. Fork of dsh-free-vision with custom-provider fixes and an allowed-directories whitelist.
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 plugin: prompt the agent to dispatch image recognition to an opencode-go mimo-v2.5 subagent
DSH-native vision bridge for text-only models with native image attachments, multi-image evidence batching, and session-scoped validated Evidence caching.
Multimodal plugin for DeepSeek Harness: understand images and generate images through configurable OpenAI-compatible or DashScope endpoints.
DeepSeek Harness (DSH) native plugin: the describe_image tool, a vision bridge (image -> mimo-v2.5 -> text description) over the ctx.fs / ctx.credentials seams
Adaptive image routing for DeepSeek Harness: pass images directly to native multimodal models and transcribe them only for text-only models.
Bridges images into text for DeepSeek Harness: when the session's selected model cannot see images, a configured vision model describes them and the descriptions enter the durable session history as folded context rows — your message stays untouched.
Transparent image preprocessing route for DeepSeek Harness