dsh-codex-subscription
Use ChatGPT and Codex subscriptions in DeepSeek Harness with OAuth, quota, safe resets, web search, images, and Fast mode
139 results
Use ChatGPT and Codex subscriptions in DeepSeek Harness with OAuth, quota, safe resets, web search, images, and Fast mode
DeepSeek Harness 会话档案:从设置中安全批量归档工作区会话,按工作区浏览和全文搜索归档聊天,原生只读预览对话、工具活动和已存储图片,管理标签备注与 ZIP 备份恢复;保留历史版本并恢复为副本,提供可撤销回收站、空间分账、保留策略和来源与分支。所有数据留在本机。 Session Archive for DeepSeek Harness: safely bulk-archive workspace chats from Settings; browse and full-text search archived chats; natively preview conversations, tool activity, and stored images read-only; manage tags, notes, and ZIP backup restore; retain local History with restore-as-copy, an undoable Recycle Bin, storage accounting, retention policies, and Origins & Branches. All data stays local.
Give DeepSeek (text-only) models vision in Claude Code, Codex, and Agent Plugins clients: describe images via any OpenAI-compatible vision endpoint.
Drop or paste images, PDFs, office docs, zips, videos and audio into the DSH composer as workspace file paths instead of model attachments — lets a text-only model agent read them via vision tools.
Generate and display images inline in the DSH chat via API channels or local CLIs (mmx / codex / agy), and read images into structured JSON evidence (OCR / layout / semantics) on any model — with backend probing and a bundled recovery skill.
Image2 (gpt-image-2) generation plugin for DeepSeek Harness with simple relay settings and in-conversation image previews
Give DeepSeek Harness agents live control of your ComfyUI canvas (local or cloud): embed it as a split-screen tab, then read/edit/run workflows, debug errors, fetch output images, and batch-sweep parameters straight from the chat. Ships the ComfyUI-side bridge node.
Out-of-tree dsh provider plugin: a DeepSeek gateway route that claims image input and transparently describes pasted images through a configured vision-language model (e.g. Qwen-VL) before the text-only DeepSeek wire sees them.
On-demand vision for text-only DSH sessions: images become markers, and a vision_describe tool sends only image + question to an OpenAI-compatible vision model
dsh plugin: recognize attached images with the built-in Windows OCR engine (Windows.Media.Ocr) and send only the recognized text to the model. Text models never receive image bytes; vision passthrough is opt-in.
Customizable brand area for the DeepSeek Harness web GUI: replace the whale logo and the DeepSeek wordmark with local images, and edit the HARNESS badge text — double-click to change, right-click to reset. 自定义 DSH 左上角品牌区:logo 与 DeepSeek 文字可换本地图片,HARNESS 徽章文字可双击编辑。
DSH Web plugin that lets text-only models see images: paste images in the chat and send without file paths; the model discovers its own vision tools. Multimodal models pass through natively.
Read-only file previews inside DeepSeek Harness for images, PDF, CSV, Markdown, JSON, YAML, source code, and large files.
Renders images, video, audio, PDF and Office documents inline in the dsh web UI through a display_file tool, streaming bytes over a signed HTTP route with range support.
Image viewer for the dock file explorer: renders PNG, JPEG, GIF, WebP, BMP, SVG, ICO and AVIF files.
Use your ChatGPT subscription in DeepSeek Harness to access Codex models and generate or edit images with gpt-image-2—no OpenAI Platform API key required.
DeepSeek Harness plugin: let text-only models receive pasted images, and analyze them with a built-in OpenAI-compatible vision tool
Upload images and files to your image host from DeepSeek Harness, powered by PicGo
Give DeepSeek (text-only) models vision in Claude Code, Codex, and Agent Plugins clients: describe images via any OpenAI-compatible vision endpoint.
Local-first file conversion for DeepSeek Harness - images, PDF, data, audio/video and office documents. No API keys, no uploads, no token cost.
DSH plugin: renders images inline in DeepSeek Harness Web chat and gives text-only models vision — cloud multimodal API first, local Qwen3-VL fallback.
Give DeepSeek Harness agents the ability to read images directly: a model-facing read_image tool that answers questions about an image through any OpenAI-compatible vision endpoint.
One-click DSH background switcher backed by local Wallpaper Engine images/videos (WE Web API first, Steam workshop/myprojects directory scan fallback)
Paste images / drag any files into the DSH composer -> saved into the session workspace as files -> images read by modlens, other files read by the model by path