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Self-contained DeepSeek Harness (DSH) plugin for Provider/Auth login, model switching, image fallback, token/cost analytics, and same-port Web restart. Useful? A star helps.

DeepSeek 두뇌 + 자동 이미지 텍스트 변환: GUI에서 이미지를 첨부하면 텍스트 전용 DeepSeek에 전달되기 전에 OpenAI 호환 VLM이 각 이미지를 텍스트로 변환합니다 — 자체 키를 사용하는 키 기반 고속 경로(기본값 qwen3.7-flash; DashScope/Zhipu/OpenRouter 또는 OpenAI 호환 엔드포인트라면 모두 가능)나, 설정 없이 자동 감지되는 로컬 Ollama를 사용할 수 있습니다.

dsh-visual-plugin: 텍스트 전용 모델에 눈을 달아줍니다. 사용자 이미지를 OpenAI 호환 비전 모델로 전달하고 결과를 Web UI 우측 패널에서 확인할 수 있습니다.

AI image generation for the DSH Web GUI: text-to-image and image-to-image through a configurable OpenAI-compatible endpoint (gpt-image-2 / gpt-image-1 / dall-e-3), with an api_url/api_key settings card and a sidebar split-pane generation studio.

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

NewAPI (OpenAI-compatible gateway) LLM provider: registers a `newapi` route with chat-only model discovery, auto-fills model parameters (context window, reasoning effort) from models.dev, and adds a Web settings section for the base URL and API key.

Cherry Studio-style knowledge base system for DeepSeek Harness (DSH): bases, documents, chunking, embeddings (OpenAI-compatible / Ollama / local / lexical fallback), retrieval, model-facing tools, and a browser management panel

DeepSeek Harness의 서드파티 API가 낮음/중간/높음 등의 사고 강도를 지원하도록 하며, 서브에이전트 호출마다 모델을 선택할 수 있게 합니다.

DeepSeek Harness용 모델별 기능 선언 도구입니다: OpenAI 호환 프로바이더를 위한 사고 강도 레벨(전송 표기)과 요청 모달리티(비전)를 지정합니다. 설정 섹션 제공, 런타임 harness 의존성 없음, YAML 불필요.

DSH용 모델 스위치: 모든 OpenAI 호환 엔드포인트를 지정 가능하며, 엄선된 무료/저가 DeepSeek 프로바이더 프리셋과 무료 티어가 속도 제한에 걸릴 때 자동 폴백 제공

컴포저에 첨부된 이미지를 텍스트 전용 DeepSeek 모델에 전달하기 전에 OpenAI 호환 비전 모델이 텍스트로 변환

LoongPort DeepSeek Harness (dsh) Cordis bundle and setup CLI

DeepSeek Harness plugin: import models with capabilities from an OpenAI-compatible /v1/models listing (gateway capability extensions) and edit per-model capabilities (thinking, vision) on its settings page

Voice pair: free edge-tts neural speech synthesis + OpenAI-compatible ASR transcription.

Universal image generation for DeepSeek Harness: auto-discovers image models from any OpenAI-compatible endpoint (SenseNova, StepFun, Agnes, Qwen, Flux, SD, Imagen and more), with agent tools and REST API.

Renders pasted/uploaded images inline in the DSH Web chat and gives text-only models vision: the model-invokable visual_review tool calls any OpenAI-compatible multimodal API first, falling back to a local Qwen3-VL worker.

Full vision-capability bundle for DeepSeek Harness: a vision_understand tool (OpenAI-compatible vision APIs, free Zhipu GLM-4V-Flash by default) plus paste/drag-and-drop/button entry points for image recognition.

One-click ✨ polish button for the composer: rewrites prompts and drafts with WorkBuddy humanizer-style rules (kills AI-flavored phrasing, varies rhythm, mode-aware for instructions/questions/prose) via free Zhipu GLM-4.5-Flash or any OpenAI-compatible API, falling back to offline local rules.

让 DeepSeek Harness 里任何纯文本模型都能读图。识图是按需调用的 tool —— 图片不进主模型上下文，不看就不花钱；附 23 处缺陷的评测集，换模型可自测。

Multimodal plugin for DeepSeek Harness: understand images and generate images through configurable OpenAI-compatible or DashScope endpoints.

Dual-protocol DIT.ai provider bundle for DeepSeek Harness

DeepSeek Harness plugin: let text-only models receive pasted images, and analyze them with a built-in OpenAI-compatible vision tool

Speech-to-text voice input for the web UI: a mic button in the composer transcribes speech into the draft via the browser Web Speech API (zero-config) or an OpenAI-compatible Whisper API (OpenAI / Groq), with a selectable model and language in Settings.

Chat image-attachment bridge with a `view_image` tool for any OpenAI-compatible VLM (local Ollama or cloud): pasted/dropped images become `view_image` path markers before reaching text-only DeepSeek models.