ZCode 是智谱推出的桌面 AI 编程客户端(macOS / Windows / Linux),深度集成 GLM 系列模型,同时兼容自定义 OpenAI / Anthropic 协议供应商。本文介绍如何在 ZCode 中接入方舟 Agent Plan。
一、前提条件#
- 您已按需订阅 Agent Plan 套餐。如未,请访问 开通管理-Agent Plan 页面订阅套餐。
- 访问 ZCode 官网,下载并安装适合您操作系统的版本。安装步骤可参考 ZCode 官方安装教程,安装完成后按提示登录。
二、配置 ZCode#
Agent Plan 同时兼容 OpenAI 与 Anthropic 接口协议,ZCode 均支持。
方式 1:自动化助手(推荐)#
ArkCLI Helper 是一个编码工具助手,支持快速配置选择的工具接入 Agent Plan。安装并运行该助手,根据界面提示操作可自动完成工具配置,降低手动配置的时间成本和出错风险。
-
安装 Ark CLI。
# 1. 通过 NPM 安装 npm install -g @volcengine/ark-cli@latest # 2. 验证安装 arkcli --version -
登录 Ark CLI。
arkcli auth login
根据界面提示选择登录方式。若之前已登录过 arkcli,会沿用上次选择的配置;如需重新选择,请先执行
arkcli config reset后再运行arkcli auth login。首次登录时,按提示完成以下配置:-
选择项目(Project):可按需选择,或默认选择账号全部资源。
-
选择消费模式(Type):选择
agent-plan。
其中:
<ARK_API_KEY>:运行 ArkCLI Helper 时填写的 Agent Plan 专属 API Key。
-
-
运行 ArkCLI Helper,根据界面提示完成 ZCode 的配置。
-
在命令行界面输入
arkcli helper命令,启动 ArkCLI Helper。
运行过程中会提示填写 Agent Plan 专属 API Key;如需在本地环境变量中管理,可使用ARK_API_KEY作为变量名。 -
选择要配置的 Plan profile:
agent-plan_cn-beijing_personal (Agent Plan)。
-
选择默认 model:按需选择。
-
选择要配置的 AI Agent:
ZCode。
当前支持的 Harness 包括:豆包搜索、专业数据集、Agent 记忆(OpenViking)、AI Native 应用开发底座,根据界面提示按需选择配置或者跳过。
-
完成上述操作后,将自动完成 ZCode 的基础配置,并按选择结果自动安装对应的 Harness 工具,无需手动安装。
方式 2:手动配置#
- 打开 ZCode 客户端,单击左下角 设置 图标,进入 模型设置,单击 添加供应商。

-
在弹出的表单中填写以下字段,保存供应商。
- 名称:自定义,便于识别,例如
Ark Agent Plan。 - Base URL:
https://ark.cn-beijing.volces.com/api/plan/v3(OpenAI 协议);若使用 Anthropic 协议,填https://ark.cn-beijing.volces.com/api/plan。 - API Key:填写 Agent Plan 专属 API Key。请勿混用方舟平台的普通 API Key。

- API 格式:取决于选择的 Base URL。
- 名称:自定义,便于识别,例如
| API 格式 | Base URL |
|---|---|
| Anthropic Messages | https://ark.cn-beijing.volces.com/api/plan |
| Chat Completions | https://ark.cn-beijing.volces.com/api/plan/v3 |
| Responses | https://ark.cn-beijing.volces.com/api/plan/v3 |

-
单击 添加模型,在表单中填写以下字段,保存模型。可以多次点击 添加模型,为一个供应商添加多个模型。
- 模型 ID:填入所选套餐支持的 Model Name,详见 支持模型及 Harness,需配置文本生成模型。
- 上下文窗口:按所选模型的最大上下文长度填写,取值参见 支持模型及 Harness。
- 最大输出 Token(可选):按需填写,默认可留空跟随模型上限。
除了在客户端 UI 中添加供应商,也可以直接编辑本地配置文件 ~/.zcode/v2/config.json(Windows 系统为 %USERPROFILE%\.zcode\v2\config.json)。首次通过 UI 完成任意配置后该文件会自动生成,已有内容时在 provider 对象中追加一条即可。
API 格式为Anthropic Messages时,~/.zcode/v2/config.json 示例
{
"provider": {
...
"ark-agent-plan": {
"name": "Ark Agent Plan",
"kind": "anthropic",
"options": {
"apiKey": "<ARK_API_KEY>",
"baseURL": "https://ark.cn-beijing.volces.com/api/plan",
"apiKeyRequired": true
},
"enabled": true,
"source": "custom",
"models": {
"ark-code-latest": {
"limit": { "context": 256000, "output": 32768 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"doubao-seed-evolving": {
"limit": { "context": 1024000, "output": 262144 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"doubao-seed-2.1-pro": {
"limit": { "context": 1024000, "output": 256000 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"doubao-seed-2.1-lite": {
"limit": { "context": 1024000, "output": 256000 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"doubao-seed-2.0-mini": {
"limit": { "context": 256000, "output": 128000 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"deepseek-v4.1-flash": {
"limit": { "context": 1024000, "output": 393216 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"deepseek-v4-flash": {
"limit": { "context": 1024000, "output": 393216 },
"modalities": { "input": ["text"], "output": ["text"] }
},
"deepseek-v4-pro": {
"limit": { "context": 1024000, "output": 393216 },
"modalities": { "input": ["text"], "output": ["text"] }
},
"glm-5.3": {
"limit": { "context": 1024000, "output": 131072 },
"modalities": { "input": ["text"], "output": ["text"] }
},
"glm-5.3-flash": {
"limit": { "context": 1024000, "output": 131072 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"glm-latest": {
"limit": { "context": 1024000, "output": 131072 },
"modalities": { "input": ["text"], "output": ["text"] }
},
"minimax-m3": {
"limit": { "context": 1024000, "output": 131072 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"kimi-k3": {
"limit": { "context": 1024000, "output": 131072 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"kimi-k2.8-preview": {
"limit": { "context": 1024000, "output": 1024000 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
}
}
}
...
}
}
API 格式为Chat Completions时,~/.zcode/v2/config.json 示例
{
"provider": {
...
"ark-agent-plan": {
"name": "Ark Agent Plan",
"kind": "openai-compatible",
"options": {
"apiKey": "<ARK_API_KEY>",
"baseURL": "https://ark.cn-beijing.volces.com/api/plan/v3",
"apiKeyRequired": true
},
"enabled": true,
"source": "custom",
"models": {
"ark-code-latest": {
"limit": { "context": 256000, "output": 32768 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"doubao-seed-evolving": {
"limit": { "context": 1024000, "output": 262144 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"doubao-seed-2.1-pro": {
"limit": { "context": 1024000, "output": 256000 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"doubao-seed-2.1-lite": {
"limit": { "context": 1024000, "output": 256000 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"doubao-seed-2.0-mini": {
"limit": { "context": 256000, "output": 128000 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"deepseek-v4.1-flash": {
"limit": { "context": 1024000, "output": 393216 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"deepseek-v4-flash": {
"limit": { "context": 1024000, "output": 393216 },
"modalities": { "input": ["text"], "output": ["text"] }
},
"deepseek-v4-pro": {
"limit": { "context": 1024000, "output": 393216 },
"modalities": { "input": ["text"], "output": ["text"] }
},
"glm-5.3": {
"limit": { "context": 1024000, "output": 131072 },
"modalities": { "input": ["text"], "output": ["text"] }
},
"glm-5.3-flash": {
"limit": { "context": 1024000, "output": 131072 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"glm-latest": {
"limit": { "context": 1024000, "output": 131072 },
"modalities": { "input": ["text"], "output": ["text"] }
},
"minimax-m3": {
"limit": { "context": 1024000, "output": 131072 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"kimi-k3": {
"limit": { "context": 1024000, "output": 131072 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"kimi-k2.8-preview": {
"limit": { "context": 1024000, "output": 1024000 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
}
}
}
...
}
}
API 格式为Responses时,~/.zcode/v2/config.json 示例
{
"provider": {
...
"ark-agent-plan": {
"name": "Ark Agent Plan",
"kind": "openai",
"options": {
"apiKey": "<ARK_API_KEY>",
"baseURL": "https://ark.cn-beijing.volces.com/api/plan/v3",
"apiKeyRequired": true
},
"enabled": true,
"source": "custom",
"models": {
"ark-code-latest": {
"limit": { "context": 256000, "output": 32768 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"doubao-seed-evolving": {
"limit": { "context": 1024000, "output": 262144 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"doubao-seed-2.1-pro": {
"limit": { "context": 1024000, "output": 256000 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"doubao-seed-2.1-lite": {
"limit": { "context": 1024000, "output": 256000 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"doubao-seed-2.0-mini": {
"limit": { "context": 256000, "output": 128000 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"deepseek-v4.1-flash": {
"limit": { "context": 1024000, "output": 393216 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"deepseek-v4-flash": {
"limit": { "context": 1024000, "output": 393216 },
"modalities": { "input": ["text"], "output": ["text"] }
},
"deepseek-v4-pro": {
"limit": { "context": 1024000, "output": 393216 },
"modalities": { "input": ["text"], "output": ["text"] }
},
"glm-5.3": {
"limit": { "context": 1024000, "output": 131072 },
"modalities": { "input": ["text"], "output": ["text"] }
},
"glm-5.3-flash": {
"limit": { "context": 1024000, "output": 131072 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"glm-latest": {
"limit": { "context": 1024000, "output": 131072 },
"modalities": { "input": ["text"], "output": ["text"] }
},
"minimax-m3": {
"limit": { "context": 1024000, "output": 131072 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"kimi-k3": {
"limit": { "context": 1024000, "output": 131072 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
},
"kimi-k2.8-preview": {
"limit": { "context": 1024000, "output": 1024000 },
"modalities": { "input": ["text", "image"], "output": ["text"] }
}
}
}
...
}
}

- 保存完成后,回到 ZCode 主界面。

三、使用 ZCode#
- 在 ZCode 主界面顶部的模型下拉中,选中刚添加的模型。
- 在对话框输入你的需求(如生成代码、修复 bug、重构、写单元测试),回车即可开始对话开发。ZCode 支持规划、编码、评审与上线等全流程研发场景。
更多使用技巧和高级功能参见 ZCode 官方文档。