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.
152 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
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
DeepSeek Harness plugin that enhances custom provider setup by auto-discovering models and auto-populating contextWindow, maxTokens, vision, and reasoning capabilities from models.dev
Transparent image preprocessing route for DeepSeek Harness
Vision toolkit for DeepSeek Harness -- glance, ground, detect, crop CLI tools for text-only agents to understand images
Image routing for text-only models in DeepSeek Harness: a global analyze_image tool (Kimi vision) plus automatic rewriting of pasted images into attachment references when the active model cannot see images.
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).
dsh auto-vision bridge: paste an image into a text-only model's composer and a configured multimodal model transcribes it as text, automatically.
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。
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)
DSH vision bridge (DSH >= 0.1.2-rc.1): when the selected chat model is text-only, attached images are described by a local Ollama VL model (qwen3-vl:8b) with keep_alive VRAM cooling. Install-time patch of dsh-api-session-controller prompt admission + runtime status companion.
通过三方多模态 API 为纯文本 LLM 提供图像理解与文档理解能力(OCR、表格、公式、 版面解析、PDF/扫描件→Markdown、截图/照片/图表问答)。使用场景:用户粘贴或给出 图片/PDF 路径时解读内容、从文档提取文字与表格、对截图提问、发票/论文/票据解析。 触发词:图片理解、OCR、文档解析、截图内容、PDF 提取、表格识别、公式识别、票据识别、 扫描件、image、vision。实现为 Python 标准库 CLI(urllib/json/base64),零三方依赖。
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。
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.
Lightweight, route-preserving vision link for DSH: a configured vision model sees while the selected text model stays in control.
DeepSeek Harness plugin: auto-route image-bearing requests to deepseek-v4-flash-vision-exp, then fall back to the original model.
Per-model vision (image input) toggle for DeepSeek Harness (dsh): list every configured model and flip a switch to enable/disable image support without hand-editing settings.yaml. 为 DeepSeek Harness 提供按模型的「支持图片」开关:无需手改 settings.yaml。
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.
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.
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.
Add drag, eight-way resize, pin, maximize, backdrop controls, and persistent state to DeepSeek Harness web modals.
Windows computer-use bundle for DeepSeek Harness: screenshots, window enumeration, and mouse/keyboard control with approval gates.
Vision for text-only DeepSeek Harness agents: delegate image reading to a one-shot subagent on a configurable vision route (MiniMax / Kimi / any OpenAI-compatible provider), keeping image bytes and the vision model's context out of the main session.