dsh-llm-ollama
Ollama Cloud native chat adapter: direct NDJSON translation of the Ollama /api/chat wire format, model discovery with context windows and capabilities, and web search/fetch providers under the ollama-cloud id, plus a Web settings card.
Ollama Cloud 原生聊天适配器：直连 NDJSON 翻译 Ollama /api/chat 协议，模型发现带上下文窗口与能力信息，并注册 web 搜索/抓取 provider，附 Web 设置卡片。
How to install
dsh plugin add dsh-llm-ollama About
dsh-llm-ollama English | 中文 Ollama Cloud integration for DeepSeek Harness. Chat uses Ollama's OpenAI-compatible Chat Completions endpoint through the shared pi-ai-backed adapter. Model discovery and the Web Search/Fetch providers remain on Ollama-native APIs because those independent capabilities are not part of the chat protocol. The package root exposes the Cordis plugin contract and OllamaAdapter. The same artifact exports ./client, which contributes the Ollama Cloud card under Settings → Plugins → Plugin configuration. The protocol and capability split is recorded in ADR 0001. Installation…
Recommendation signals
Meta
- License
- MIT
- Language
- TypeScript
- GitHub stars
- 3
- mo. downloads
- –
- Last push
- 2026-09-24
- Created
- 2026-08-15
Basic safety check
- Findings
- None
- Sources
- curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin, curated:0xsline/awesome-deepseek-harness
- Topics
- deepseek-harness, dsh-plugin
Related plugins
dsh-plugin-subscriptions
V1ki/dsh-plugin-subscriptions
Use ChatGPT (Codex), Claude, and Grok subscriptions as DeepSeek Harness LLM providers, with Settings login, model catalogs, usage, plus image_generate, video_generate, and x_search tools.
dsh-workbuddy-connect
corrinehu/dsh-workbuddy-connect
Brings the models in the WorkBuddy desktop app straight into DeepSeek Harness — zero configuration in the DSH chat.
claude-code-router
musistudio/claude-code-router
One local control plane for every AI agent: route across models, fuse new capabilities, orchestrate tools, and stay fully in control.
dsh-thinking-effort
hytime/dsh-thinking-effort
Configure reasoning-effort levels and sub-agent defaults for custom DSH models.