Connect your sub2api gateway to DeepSeek Harness: OpenAI-compatible multi-provider routes (OpenAI / Claude / Grok / Gemini) behind one base URL, with per-key model discovery, usage lookup, and a settings page.
DeepSeek Harness plugin: local llama.cpp (llama-server) as a first-class model provider — process/router management, catalog sync with mmproj vision pairing, auto-start, stop-then-load switching, and a sidebar terminal monitor panel.
Speech-to-text voice input plugin for DeepSeek Harness (DSH) web GUI: click the mic in the composer to turn speech into text in the input box. Browser Web Speech API + OpenAI-compatible Whisper (OpenAI/Groq) with selectable model. DSH 语音输入插件
OpenAI-compatible HTTP surface for DeepSeek Harness (dsh): POST /v1/chat/completions, POST /v1/responses, GET /v1/models over the harness webServer + llm runtime
Give DeepSeek (text-only) models **vision** in Claude Code and Codex by routing image files to any OpenAI-compatible vision endpoint (OpenRouter, SiliconFlow, DashScope, Ollama, llama.cpp, vLLM, LM Studio, …). Zero runtime dependencies, MIT licensed.
Give your text-only LLM eyes: zero-dependency MCP server that reads images via external OpenAI-compatible vision models with automatic provider fallback, plus a one-command patch for DSH image-attachment degradation.
DeepSeek Harness all-in-one: no model switching — regular DeepSeek auto-routes to vision & image gen. Multi-backend: Gemini + any OpenAI-compatible (GPT-4o, Qwen-VL, GLM-4V, gpt-image, DALL-E, Flux, OpenRouter). gemini_vision/gemini_generate_image/gemini_optimize_image with vision self-check. Better than modlens.
Local semantic code search for DeepSeek Harness (dsh): fragment-level, symbol-aware indexing, offline lexical embeddings or OpenAI-compatible endpoints, and hybrid vector + BM25 retrieval fused with RRF - three dsh tools (sema_search / sema_reindex / sema_stats) plus a sema CLI.
