dsh-tool-turbo
Per-round reasoning_effort optimizer for dsh — auto-downgrades reasoning for simple tool calls and lifts back for heavy work, cutting thinking time between tool calls.
dsh 每轮推理强度优化器——简单工具调用自动降档、重任务回升,削减工具调用间的思考时间。
How to install
dsh plugin add github:Electricitysheep/dsh-tool-turbo About
dsh-tool-turbo **Cut tool-call latency in DeepSeek Harness (dsh) by auto-adjusting reasoning_effort per tool round.** 中文文档 · English In a multi-step tool chain, the model re-thinks before **every** tool call — and that thinking dominates the wall-clock time (a 50-step agent task can spend minutes in reasoning between tools). dsh-tool-turbo watches the recent tool calls of a step and injects the *lowest sensible* reasoning effort into the next model request, then lifts it again the moment the work gets heavy. How it works DeepSeek's API exposes reasoning_effort in three steps (low / high / max,…
Recommendation signals
Meta
- License
- –
- Language
- TypeScript
- GitHub stars
- 8
- mo. downloads
- –
- Last push
- 2026-08-17
- Created
- 2026-08-13
Links
Basic safety check
- Findings
- curated 收录但无 npm 包/安装命令;无 license
- Sources
- curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
- Topics
- agent, deepseek, dsh, dsh-plugin, harness, optimization, performance, plugin, reasoning, speed
Related plugins
openclaw
openclaw/openclaw
The AI that really does things. Any OS. Any Platform. The lobster way. 🦞
Figma-Context-MCP
GLips/Figma-Context-MCP
MCP server to provide Figma layout information to AI coding agents like Cursor
mobile-mcp
mobile-next/mobile-mcp
Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Real Devices)