dsh-model-modality:DSH 模型设置页面的模态与推理配置

`dsh-model-modality` 插件为 DeepSeek Harness (DSH) 提供了可视化的模型配置入口,旨在简化 `input` 模态和 `reasoningEfforts` 推理级别的设置。 该插件主要支持两类功能:在 Models 页面卡片上直接勾选 **Image** 选项以配置输入模态;在模型编辑对话框中选择推理努力级别。插件通过 Patch Bundle 的方式直接修改配置文件,操作直观且即时保存。 使用时需注意,该插件仅适配 `pi-ai` 适配器,且存在 Bundle 写入权限及反向代理兼容性限制。移除插件后需手动恢复被 Patch 的 Bundle。

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dsh-status-bar-config: DeepSeek Harness Conversation Stats Bar Configuration Plugin

The `dsh-status-bar-config` plugin for DeepSeek Harness (DSH) allows users to take over and reconfigure the bottom statistics bar of the chat interface without modifying source code. It supports independently hiding or displaying 10 specific metrics, including turns, steps, token count, TTFT, and decoding throughput, and adapts to DSH's locale. Users need to install Node.js >= 22, install it via a Profile, and adjust the configuration in real time through the settings.

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dsh-llm-retry-settings: DeepSeek Harness LLM Provider Retry Policy and Timeout Configuration Plugin

The `dsh-llm-retry-settings` plugin provides visual management of LLM request retry policies and timeout parameters for DeepSeek Harness (DSH). Users can directly configure retry modes, retry counts, and various timeout durations in the interface; changes take effect immediately without requiring a restart. The plugin interacts with the loopback API gateway through a client-side architecture and supports automatic discovery of timeout fields. Developers can install it using official commands to simplify debugging and tuning of connection parameters.

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《Cursor Docs》-Worktrees

The UI native worktrees feature described on this page is only available in the Agents Window. In the IDE, use the Worktree Skills commands below.

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《Cursor Docs》-VS Code Migration

Cursor is based upon the VS Code codebase, allowing us to focus on making the best AI powered coding experience while maintaining a familiar editing environment. This makes it easy to migrate your existing VS Code settings to Cursor.

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