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Merge pull request #83 from wenjinnn/main
doc: add `olimorris/codecompanion.nvim`
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Huang Panpan
GitHub
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@ -174,6 +174,11 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
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<td> <a href="docs/llm.nvim/README.md"> llm.nvim </a> </td>
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<td> A free large language model(LLM) plugin that allows you to interact with LLM in Neovim. Supports any LLM, such as Deepseek, GPT, GLM, Kimi or local LLMs (such as ollama). </td>
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</tr>
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<tr>
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<td> <img src="https://github.com/user-attachments/assets/d66dfc62-8e69-4b00-8549-d0158e48e2e0" alt="Icon" width="64" height="auto" /> </td>
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<td> <a href="docs/codecompanion.nvim/README.md"> codecompanion.nvim </a> </td>
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<td> AI-powered coding, seamlessly in Neovim. </td>
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</tr>
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</table>
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### JetBrains Extensions
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@ -157,6 +157,11 @@
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<td> <a href="docs/llm.nvim/README.md"> llm.nvim </a> </td>
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<td> 免费的大语言模型插件，让你在Neovim中与大模型交互，支持任意一款大模型，比如Deepseek，GPT，GLM，kimi或者本地运行的大模型(比如ollama) </td>
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</tr>
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<tr>
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<td> <img src="https://github.com/user-attachments/assets/d66dfc62-8e69-4b00-8549-d0158e48e2e0" alt="Icon" width="64" height="auto" /> </td>
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<td> <a href="docs/codecompanion.nvim/README.md"> codecompanion.nvim </a> </td>
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<td> AI 驱动的编码，在 Neovim 中无缝集成. </td>
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</tr>
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</table>
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### JetBrains 插件
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97
docs/codecompanion.nvim/README.md
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97
docs/codecompanion.nvim/README.md
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@ -0,0 +1,97 @@
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# [codecompanion.nvim](https://github.com/olimorris/codecompanion.nvim)
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> AI-powered coding, seamlessly in Neovim
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**codecompanion.nvim** is a productivity tool which streamlines how you develop with LLMs, in Neovim.
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## Features
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- :speech_balloon: [Copilot Chat](https://github.com/features/copilot) meets [Zed AI](https://zed.dev/blog/zed-ai), in Neovim
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- :electric_plug: Support for Anthropic, Copilot, Gemini, Ollama, OpenAI, Azure OpenAI, HuggingFace and xAI LLMs (or bring your own!)
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- :rocket: Inline transformations, code creation and refactoring
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- :robot: Variables, Slash Commands, Agents/Tools and Workflows to improve LLM output
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- :sparkles: Built in prompt library for common tasks like advice on LSP errors and code explanations
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- :building_construction: Create your own custom prompts, Variables and Slash Commands
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- :books: Have multiple chats open at the same time
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- :muscle: Async execution for fast performance
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## Installation
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First, Navigate to the nvim configuration folder (default on Linux is `~/.config/nvim`)
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### Install via `lazy.nvim`
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Then to the `lua/plugins` folder. Create a file named `init.lua` and add the following content:
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```lua
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return {
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"olimorris/codecompanion.nvim",
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dependencies = {
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"nvim-lua/plenary.nvim",
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"nvim-treesitter/nvim-treesitter",
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},
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config = function()
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require("codecompanion").setup({
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adapters = {
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deepseek = function()
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return require("codecompanion.adapters").extend("openai_compatible", {
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env = {
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url = "https://api.deepseek.com",
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api_key = "YOUR_API_KEY",
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},
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})
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end,
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},
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strategies = {
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chat = { adapter = "deepseek", },
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inline = { adapter = "deepseek" },
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agent = { adapter = "deepseek" },
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},
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})
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end
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}
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```
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Restart nvim, and `lazy.nvim` should automatically download and install the codecompanion.nvim plugin and its dependencies based on the above file.
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### Install via `mini.deps`
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Add the following content to your `init.lua`:
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```lua
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local add, later = MiniDeps.add, MiniDeps.later
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later(function()
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add({
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source = "olimorris/codecompanion.nvim",
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depends = {
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"nvim-lua/plenary.nvim",
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"nvim-treesitter/nvim-treesitter",
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},
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})
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require("codecompanion").setup({
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adapters = {
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deepseek = function()
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return require("codecompanion.adapters").extend("openai_compatible", {
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env = {
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url = "https://api.deepseek.com",
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api_key = "YOUR_API_KEY",
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},
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})
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end,
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},
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strategies = {
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chat = { adapter = "deepseek", },
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inline = { adapter = "deepseek" },
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agent = { adapter = "deepseek" },
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},
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})
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end)
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```
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Restart nvim, and `mini.deps` should also automatically download and install the codecompanion.nvim plugin.
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### Other Installation Methods
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https://codecompanion.olimorris.dev/installation.html
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## Usage
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https://codecompanion.olimorris.dev/usage/introduction.html
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98
docs/codecompanion.nvim/README_cn.md
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98
docs/codecompanion.nvim/README_cn.md
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@ -0,0 +1,98 @@
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# [codecompanion.nvim](https://github.com/olimorris/codecompanion.nvim)
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> AI 驱动的编码，在 Neovim 中无缝集成
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**codecompanion.nvim** 是一个提高生产力的工具，它简化了在 Neovim 中使用大型语言模型（LLM）进行开发的方式。
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## 特性
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- :speech_balloon: 在 Neovim 中，[Copilot Chat](https://github.com/features/copilot) 与 [Zed AI](https://zed.dev/blog/zed-ai) 的结合
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- :electric_plug: 支持 Anthropic、Copilot、Gemini、Ollama、OpenAI、Azure OpenAI、HuggingFace 和 xAI LLM（或自定义 LLM！）
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- :rocket: 内联变换、代码生成与重构
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- :robot: 通过变量、斜杠命令、代理/工具和工作流改善 LLM 输出
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- :sparkles: 内置常用任务的提示词，例如 LSP 错误的建议和代码解释
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- :building_construction: 创建自定义提示、变量和斜杠命令
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- :books: 同时打开多个对话
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- :muscle: 异步执行，提供快速的性能
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## 安装
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首先，导航到 Neovim 配置文件夹（默认情况下，Linux 上的路径是 `~/.config/nvim`）。
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### 通过 `lazy.nvim` 安装
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然后进入 `lua/plugins` 文件夹。创建一个名为 `init.lua` 的文件，并添加以下内容：
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```lua
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return {
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"olimorris/codecompanion.nvim",
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dependencies = {
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"nvim-lua/plenary.nvim",
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"nvim-treesitter/nvim-treesitter",
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},
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config = function()
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require("codecompanion").setup({
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adapters = {
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deepseek = function()
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return require("codecompanion.adapters").extend("openai_compatible", {
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env = {
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url = "https://api.deepseek.com",
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api_key = "YOUR_API_KEY",
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},
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})
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end,
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},
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strategies = {
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chat = { adapter = "deepseek", },
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inline = { adapter = "deepseek" },
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agent = { adapter = "deepseek" },
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},
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})
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end
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}
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```
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重新启动 Neovim，`lazy.nvim` 应该会自动下载并安装 `codecompanion.nvim` 插件及其依赖项。
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### 通过 `mini.deps` 安装
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将以下内容添加到你的 `init.lua` 中
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```lua
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local add, later = MiniDeps.add, MiniDeps.later
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later(function()
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add({
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source = "olimorris/codecompanion.nvim",
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depends = {
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"nvim-lua/plenary.nvim",
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"nvim-treesitter/nvim-treesitter",
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},
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})
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require("codecompanion").setup({
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adapters = {
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deepseek = function()
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return require("codecompanion.adapters").extend("openai_compatible", {
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env = {
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url = "https://api.deepseek.com",
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api_key = "YOUR_API_KEY",
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},
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})
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end,
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},
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strategies = {
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chat = { adapter = "deepseek", },
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inline = { adapter = "deepseek" },
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agent = { adapter = "deepseek" },
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},
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})
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end)
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```
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重新启动 Neovim，`mini.deps` 应该会自动下载并安装 `codecompanion.nvim` 插件。
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### 其他安装方法
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https://codecompanion.olimorris.dev/installation.html
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## 使用
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https://codecompanion.olimorris.dev/usage/introduction.html
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