Plugin

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.

Cervello DeepSeek + trascrizione automatica delle immagini: allega immagini nella GUI e ognuna viene trascritta in testo tramite un qualsiasi VLM compatibile con OpenAI prima di raggiungere il DeepSeek solo testuale — un percorso rapido con chiave (predefinito qwen3.7-flash; DashScope/Zhipu/OpenRouter o qualsiasi endpoint compatibile con OpenAI) con la tua chiave, oppure Ollama locale rilevato automaticamente a configurazione zero.

Dsh-visual-plugin: dà occhi al tuo modello solo testuale, inoltrando le immagini dell'utente a qualsiasi modello di vision compatibile con OpenAI e mostrando i risultati in un pannello a destra della Web UI.

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

Aggiunge alle API di terze parti di DeepSeek Harness i livelli di ragionamento basso, medio, alto e altri, con la possibilità di scegliere il modello per ogni chiamata a subagent.

Dichiarazione delle capacità per modello per DeepSeek Harness: livelli di sforzo di ragionamento (nomenclatura di protocollo) + modalità di richiesta (vision) per provider compatibili con OpenAI. Sezione impostazioni, zero dipendenze runtime dall'harness, nessun YAML.

Il selettore di modello per DSH: puntalo verso qualsiasi endpoint compatibile con OpenAI, con preset curati di provider DeepSeek gratuiti/economici e fallback automatico quando un livello gratuito applica limitazioni di frequenza

Le immagini allegate nel composer vengono trascritte in testo da un modello di visione compatibile con OpenAI prima di raggiungere i modelli DeepSeek solo testo

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.