@raullenchai/dsh-provider
Native Rapid-MLX provider for DeepSeek Harness — teaches DSH what the local server already knows (memory-fitted context via max_model_len), plus model-management tools and a /rapid-mlx overview.
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Native Rapid-MLX provider for DeepSeek Harness — teaches DSH what the local server already knows (memory-fitted context via max_model_len), plus model-management tools and a /rapid-mlx overview.
Local-model (Ollama) integration for DeepSeek Harness: discover, pull, remove, and inspect local models, route requests to them by task type or keyword with automatic fallback to the cloud, and get a one-shot status overview via /ollama.
DSH plugin: start/stop a local llama.cpp llama-server from the settings → plugins page — two model slots (A/B) with per-slot model-file selection, eight editable launch-parameter groups (text/vision × fast/long × 2 slots), and one shared DSH provider carrying both slots' models with four thinking-effort levels.
Ollama native protocol (/api/chat) provider for DeepSeek Harness: llm-ollama settings namespace, serving LlmAdapter, /api/tags model discovery, and a whole-page Ollama settings section.
CLIProxyAPI provider for DeepSeek Harness with local auto-discovery, dynamic model sync, model switching, and vision preprocessing.
DeepSeek Harness plugin for local GGUF models without Ollama
Local OpenAI-compatible model-server discovery + tiered reasoning-metadata resolution for DeepSeek Harness (dsh).
在 Apple Silicon 上用 MLX 框架运行本地大模型:模型目录管理、服务启停、OpenAI 兼容 API,并优化 DSH 自定义提供方的本地思考强度选择。
让用户个人/本地 LLM 接入 DeepSeek Harness:Ollama、KoboldCpp、LM Studio 及任意 OpenAI 兼容端点作为本地冗余算力,本地优先处理一部分信息,难点才交给云端主模型。充分利用本地算力并节省 token。
DSH plugin: manage local model inference servers (llama.cpp / vLLM / SGLang) — registry, safe start/stop, parameter profile versioning with validation. Red lines: never pkill, never stop protected port 11437, never auto-restart dsh.
Automatic reasoning and image capability detection for custom DeepSeek Harness models