dsh-more-models-thinking-level

1. 安装并启动 DeepSeek Harness：npx @deepseek-ai/dsh web
2. 在终端执行上面的安装命令（CLI 会解析插件并核验来源）
3. 用 dsh plugins list 确认已安装，必要时重启 Harness 生效

插件以当前 dsh 进程的权限运行，安装时可能执行代码。请先通读仓库源码与许可证，确认无破坏性命令与越权访问；本站只做索引，不对第三方插件安全性作担保。

事实信息来自公开插件目录快照（2026-10-01），介绍文案由本站再加工。

以下为插件仓库 README 全文（原始内容，由公开目录抓取整理）。

# DSH Cross-model Reasoning Adapter

Installable and removable DSH bundle. Provider-native parameter conversion remains owned by the host's `dsh-llm-pi-ai`.

The plugin exposes per-model reasoning levels (`off` / `minimal` / `low` / `medium` / `high` / `xhigh`) for GPT, Codex, Gemini and OpenAI-compatible models in DeepSeek Harness, so your custom gateway can select a reasoning intensity that matches the model.

## Install (plugin market)

Once published to npm:

```
dsh plugin add dsh-more-models-thinking-level
```

Or from this repository directly:

```
dsh plugin add https://github.com/Henta111/dsh-more-models-thinking-level
```

## Remove

```
dsh plugin remove dsh-more-models-thinking-level
```

## How it works

- The bundle layer registers the plugin into the profile's `dsh.profile.bundles`.
- The web client adds a settings section (`推理适配 / Reasoning adapter`).
- Provider-native wire values are declared per model via `reasoningEfforts`; the host (`dsh-llm-pi-ai`) performs the actual conversion.

## License

MIT