dsh-auth-in-one
Self-contained DeepSeek Harness plugin for Provider login, model switching, image fallback, usage analytics, and same-port Web restart
111 results
Self-contained DeepSeek Harness plugin for Provider login, model switching, image fallback, usage analytics, and same-port Web restart
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。
Visual media plugin for DeepSeek Harness: copy native image descriptions and securely normalize, inspect, and play scene-aware videos.
Bring OpenCode Zen's free models to DeepSeek Harness — an LLM provider plugin that adds 7 free models to the picker, no API key required
DeepSeek brain + automatic image transcription for DeepSeek Harness: a deepseek-vision provider route that transcribes attached images to text before delegating to the text-only DeepSeek adapter. Official deepseek-v4-flash-vision-exp by default (a pure-text V4-Pro brain can see images), any OpenAI-compatible VLM or local Ollama as alternatives, never hangs.
Give DeepSeek (text-only) models vision in Claude Code, Codex, and Agent Plugins clients: describe images via any OpenAI-compatible vision endpoint.
Per-model capability declaration for DeepSeek Harness: reasoning-effort levels (with wire spellings) and request modalities (text/image) for OpenAI-compatible providers — one settings section, no YAML hand-editing.
Display-layer translation for the DSH web app: thinking chain, task cards, and optional answer text, in 8 target languages (local Ollama / any OpenAI-compatible or Anthropic endpoint / Google / Bing, fail-open)
Reasoning effort settings and per-call subagent model routing for DeepSeek Harness custom providers
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
see_image tool for DSH: route image files to a configurable vision model (OpenAI-compatible API) and relay its description back to a text-only model
Generic LLM gateway model provider plugin for DeepSeek Harness: mounts newapi / LiteLLM / Higress / any OpenAI-compatible gateway as provider routes, auto-discovers the model list, enriches every model with models.dev parameters, and dispatches each model over its native wire protocol (OpenAI / Anthropic / Gemini) via the pi-ai SDK
Add no-key hosted or OpenAI-compatible vision to DeepSeek Harness while keeping the configured reasoning model
DeepSeek Harness plugin: let text-only models receive pasted images, and analyze them with a built-in OpenAI-compatible vision tool
DeepSeek Harness 全能插件:识别/生图/改图一体化,无需切换模型——用常规 DeepSeek 模型即可自动调用视觉与生图模型(gemini_vision / gemini_generate_image / gemini_optimize_image)。多后端:Gemini 原生 + 任意 OpenAI 兼容服务(GPT-4o、Qwen-VL、GLM-4V、Moonshot、gpt-image、DALL-E、Flux、Stable Diffusion、OpenRouter、硅基流动、各类中转等),生成后自动视觉自检反馈,优于 modlens。
Global model request headers plus image input, reasoning, and DeepSeek system-role compatibility for custom providers
DSH plugin: image understanding via any OpenAI-compatible vision API, paste-to-describe, and an animated whale-buddy desktop pet with status bubbles and a floating settings panel
Image generation for DeepSeek Harness: a generate_image tool with pluggable providers — the FAL queue, any OpenAI-compatible images API, or a ChatGPT/Grok subscription with no API key at all. The picture is shown inline in the conversation; the model receives either a link (works with any chat model) or the image itself (needs dsh-vision-bridge or a vision-capable model).
Multimodal eyes and hands for DeepSeek Harness: vision transcription, OCR, and text-to-image via OpenAI-compatible backends, with an in-conversation generated-image card.
DeepSeek Harness adapter that exposes each configured vision model as a selectable DeepSeek composite in Web UI.
Application-level Vision-Language-Model (VLM) analyzer for DeepSeek Harness: analyze_image tool with primary/backup OpenAI-compatible endpoints, automatic failover, and an auto-saving web settings page.
DSH web plugin: 为自定义模型(OpenAI-compatible pi-ai provider)增加思考强度(reasoning effort)配置 —— 设置页新增「思考强度」分区,按模型配置思考级别与线格式、按 provider 配置默认思考强度,直接写入 llm-pi-ai 设置,composer 模型选择器随即生效。
Ollama Cloud models, OpenAI-compatible chat, and Web Search/Fetch for DeepSeek Harness
DSH plugin: renders images inline in DeepSeek Harness Web chat and gives text-only models vision — cloud multimodal API first, local Qwen3-VL fallback.