# OpenCode > 全部文档的索引见 [llms.txt](https://ark.volcengine.com/llms.txt)；在任一文档页面地址后追加 `.md` 可获取该页的 Markdown 版本。 OpenCode 是一款开源的 AI 编程代理工具，提供终端界面、桌面应用和 IDE 扩展等多种使用方式。本文介绍如何在 OpenCode 中使用方舟 Coding Plan 企业版。 # 核心配置 需要获取 Coding Plan 企业版支持的模型、Base URL和专属的 API Key，才能正常使用并抵扣套餐额度。 ## **模型配置** 支持以下两种方式配置模型： **选项：配置 Model Name (配置文件指定)** 在工具配置文件中指定 Model Name，可实时切换模型。支持配置的 Model Name： > **注意** > > 配置 Model Name 时，支持使用全小写格式，同时也支持直接复制 [Coding Plan 企业版页面](https://ark.volcengine.com/region:cn-beijing/openManagement?LLM=%7B%7D&OpenModelVisible=false&advancedActiveKey=enterprise) 中的模型名称。 * `doubao-seed-evolving` * `doubao-seed-2.1-pro` * `doubao-seed-2.1-lite` * `doubao-seed-2.0-mini` * `glm-5.3` (`glm-latest`) * `glm-5.3-flash` * `deepseek-v4.1-flash` * `deepseek-v4.1-flash-economy` * `deepseek-v4-flash` * `deepseek-v4-pro` * `kimi-k2.8-preview` * `kimi-k3.1-pro` > **说明** > > Model Name 不支持配置为 `Auto`，如需使用，请通过控制台切换该模式。 **选项：配置 ark-code-latest (控制台管理)** 1. 在配置文件中指定模型为`ark-code-latest`。 2. 通过 [Coding Plan 企业版页面](https://ark.volcengine.com/region:cn-beijing/openManagement?LLM=%7B%7D&OpenModelVisible=false&advancedActiveKey=enterprise) 选择或切换目标模型，切换模型后 3-5 分钟即可生效。 支持 Auto 模式，通过「效果 + 速度」双维度智能算法自动选择模型。 ## **专属 Base URL** 不同的工具配置的 Base URL 根据兼容的协议会有不同： * 兼容 Anthropic 接口协议工具：`https://ark.cn-beijing.volces.com/api/coding` * 兼容 OpenAI 接口协议工具：`https://ark.cn-beijing.volces.com/api/coding/v3` > **注意** > > 请勿使用 `https://ark.cn-beijing.volces.com/api/v3` ，接入会产生额外费用。 ## **专属 API Key** [获取专属 API Key](https://ark.volcengine.com/region:cn-beijing/subscription/coding-plan-enterprise/mine) > **注意** > > Coding Plan 企业版专属 API Key 与火山方舟平台的 API Key 不同，请勿混用。 ![coding-plan-enterprise-api-key.png](https://arkdocs.tos-cn-beijing.volces.com/images/agent-plan/coding-plan-enterprise-api-key.png) # 一、前置操作 需由管理员账号完成以下前置操作后，子账号方可配置并使用编程工具： 1. 购买方舟 Coding Plan 企业版套餐：[一、购买 Coding Plan 企业版](/docs/coding-plan-enterprise-get-started#d061dee7)。 2. 为子账号分配席位：[二、分配席位](/docs/coding-plan-enterprise-get-started#163f6c67)。 # 二、安装 OpenCode 前提条件：安装 [Node.js 18 或更新版本](https://nodejs.org/en/download/)。 在命令行界面，执行以下命令安装 OpenCode。 ```Bash npm install -g opencode-ai ``` 安装结束后，执行以下命令查看安装结果，若显示版本号则安装成功。 ```Bash opencode --version ``` # 三、配置 OpenCode 1. 创建并打开 OpenCode 的配置文件。文件路径因系统而异，具体操作如下： **选项：macOS/Linux** macOS/Linux 系统 OpenCode 配置文件路径：`~/.config/opencode/opencode.json`。 1. 如果在主目录下没有`.config/opencode`目录，执行以下命令创建目录。 ```Bash mkdir -p ~/.config/opencode ``` 2. 创建并打开配置文件。 ```Bash nano ~/.config/opencode/opencode.json ``` **选项：Windows** Windows 系统 OpenCode 配置文件路径：`%USERPROFILE%\.config\opencode\opencode.json`。以 CMD 命令行方式为例，操作如下。 1. 如果当前用户目录下没有`.config\opencode`目录，执行以下命令创建目录。 ```Bash if not exist "%USERPROFILE%\.config\opencode" mkdir "%USERPROFILE%\.config\opencode" ``` 2. 创建并打开配置文件。 ```Bash notepad "%USERPROFILE%\.config\opencode\opencode.json" ``` 2. 编辑 `opencode.json`，需关注的配置信息如下： * ``：替换为您自己的 [专属 API Key](https://ark.volcengine.com/region:cn-beijing/subscription/coding-plan-enterprise/mine)。 * `model`：更新为需要使用的模型信息。支持的模型信息参见 [模型配置](/docs/coding-plan-enterprise-ai-opencode#2e9b1559)。 Coding Plan 兼容 OpenAI 接口协议，支持 Responses API、Chat API。推荐使用 Responses API 的配置，推理效果更好。 支持的两类 API 仅在 npm 配置上不同： * Responses API 配置：`"npm": "@ai-sdk/openai"` * Chat API 配置：`"npm": "@ai-sdk/openai-compatible"` 以配置`ark-code-latest`为例，具体信息如下。 > **注意** > > * `glm-5.3`、`glm-5.3-flash`、`deepseek-v4.1-flash`、`deepseek-v4.1-flash-economy`、`deepseek-v4-flash`、`deepseek-v4-pro`、`kimi-k3.1-pro` 支持 1M 上下文窗口用于包含大型代码库的长会话，可以通过 `limit.context` 字段显式指定窗口大小。 > * `provider.volcengine-plan.models`节点下有**两处**（对象键、`name`字段）需**替换为同一 Model Name**，切勿遗漏。 > * 若需开启模型图片理解能力，需在模型配置节点下新增如下配置项： > > `"modalities": {"input": ["text", "image"], "output": ["text"]}` **选项：Responses API** > **说明** > > npm 必须使用 `@ai-sdk/openai`，模型才会使用 Responses API，在 `baseURL` 的基础上自动拼接 `/responses`。 ```JSON { "$schema": "https://opencode.ai/config.json", "model": "volcengine-plan/ark-code-latest", "provider": { "volcengine-plan": { "npm": "@ai-sdk/openai", "name": "Volcano Engine（Responses API）", "options": { "baseURL": "https://ark.cn-beijing.volces.com/api/coding/v3", "apiKey": "" }, "models": { "ark-code-latest": { "name": "ark-code-latest", "limit": { "context": 256000, "output": 32000 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "doubao-seed-2.1-pro": { "name": "doubao-seed-2.1-pro", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "doubao-seed-evolving": { "name": "doubao-seed-evolving", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "glm-5.3": { "name": "glm-5.3", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text" ], "output": [ "text" ] } }, "glm-5.3-flash": { "name": "glm-5.3-flash", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "glm-latest": { "name": "glm-latest", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text" ], "output": [ "text" ] } }, "deepseek-v4-flash": { "name": "deepseek-v4-flash", "limit": { "context": 1024000, "output": 65536 } }, "deepseek-v4-pro": { "name": "deepseek-v4-pro", "limit": { "context": 1024000, "output": 65536 } }, "deepseek-v4.1-flash": { "name": "deepseek-v4.1-flash", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "deepseek-v4.1-flash-economy": { "name": "deepseek-v4.1-flash-economy", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "doubao-seed-2.1-lite": { "name": "doubao-seed-2.1-lite", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "doubao-seed-2.0-mini": { "name": "doubao-seed-2.0-mini", "limit": { "context": 256000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "kimi-k2.8-preview": { "name": "kimi-k2.8-preview", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "kimi-k3.1-pro": { "name": "kimi-k3.1-pro", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } } } } } } ``` **选项：Chat API** > **说明** > > npm 必须使用 `@ai-sdk/openai-compatible`，模型才会使用 Chat API，在 `baseURL` 的基础上自动拼接 `/chat/completions`。 ```JSON { "$schema": "https://opencode.ai/config.json", "model": "volcengine-plan/ark-code-latest", "provider": { "volcengine-plan": { "npm": "@ai-sdk/openai-compatible", "name": "Volcano Engine（Chat API）", "options": { "baseURL": "https://ark.cn-beijing.volces.com/api/coding/v3", "apiKey": "" }, "models": { "ark-code-latest": { "name": "ark-code-latest", "limit": { "context": 256000, "output": 32000 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "doubao-seed-2.1-pro": { "name": "doubao-seed-2.1-pro", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "doubao-seed-evolving": { "name": "doubao-seed-evolving", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "glm-5.3": { "name": "glm-5.3", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text" ], "output": [ "text" ] } }, "glm-5.3-flash": { "name": "glm-5.3-flash", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "glm-latest": { "name": "glm-latest", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text" ], "output": [ "text" ] } }, "deepseek-v4-flash": { "name": "deepseek-v4-flash", "limit": { "context": 1024000, "output": 65536 } }, "deepseek-v4-pro": { "name": "deepseek-v4-pro", "limit": { "context": 1024000, "output": 65536 } }, "deepseek-v4.1-flash": { "name": "deepseek-v4.1-flash", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "deepseek-v4.1-flash-economy": { "name": "deepseek-v4.1-flash-economy", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "doubao-seed-2.1-lite": { "name": "doubao-seed-2.1-lite", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "doubao-seed-2.0-mini": { "name": "doubao-seed-2.0-mini", "limit": { "context": 256000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "kimi-k2.8-preview": { "name": "kimi-k2.8-preview", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } }, "kimi-k3.1-pro": { "name": "kimi-k3.1-pro", "limit": { "context": 1024000, "output": 65536 }, "modalities": { "input": [ "text", "image" ], "output": [ "text" ] } } } } } } ``` # 四、启动并使用 OpenCode 1. 启动 OpenCode： ```Bash opencode ``` 2. 输入`/models`，选择配置的模型并在 OpenCode 中使用。