Kilo CLI 是 Kilo Code 全栈式 AI 编程代理平台的命令行形态。本文介绍如何在 Kilo CLI 中配置与使用腾讯云大模型 Token Plan 企业版。
前置条件
在开始配置前，确保您已完成以下准备工作：
获取模型配置：
专业套餐模型配置；
轻享套餐模型配置。
安装 Kilo CLI
在终端执行如下命令安装 Kilo CLI。
说明：
npm install -g @kilocode/cli
安装完成后，您可以执行如下命令检查，输出版本号则表示安装成功。
kilo --version
配置 Token Plan 企业版
1. 打开 Kilo CLI 的配置文件，配置文件路径如下：
macOS/Linux：
~/.config/kilo/config.json。Windows：
C:\\Users\\<用户名>\\.config\\kilo\\config.json。2. 在配置文件中，复制粘贴如下配置，并保存。
注意：
请您将代码中的 <USER_API_KEY> 替换为您的 API Key。下方配置已根据套餐类型预填了
models 列表，可按需保留所需模型。{"$schema": "https://kilo.ai/config.json","provider": {"lkeap": {"npm": "@ai-sdk/anthropic","name": "Tencent Token Plan Enterprise","options": {"baseURL": "https://tokenhub.tencentmaas.com/plan/anthropic/v1","apiKey": "<USER_API_KEY>"},"models": {"auto": { "name": "Auto", "options": { "thinking": { "type": "enabled" } } },"glm-5.3-flash": { "name": "GLM-5.3-Flash", "options": { "thinking": { "type": "enabled" } } },"glm-5.3": { "name": "GLM-5.3", "options": { "thinking": { "type": "enabled" } } },"glm-5.2": { "name": "GLM-5.2", "options": { "thinking": { "type": "enabled" } } },"glm-5": { "name": "GLM-5", "options": { "thinking": { "type": "enabled" } } },"glm-5.1": { "name": "GLM-5.1", "options": { "thinking": { "type": "enabled" } } },"glm-5-turbo": { "name": "GLM-5-Turbo", "options": { "thinking": { "type": "enabled" } } },"kimi-k3": { "name": "Kimi K3", "options": { "thinking": { "type": "enabled" } } },"kimi-k2.7-code": { "name": "Kimi K2.7 Code", "options": { "thinking": { "type": "enabled" } } },"kimi-k2.7-code-highspeed": { "name": "Kimi K2.7 Code HighSpeed", "options": { "thinking": { "type": "enabled" } } },"kimi-k2.6": { "name": "Kimi-K2.6", "options": { "thinking": { "type": "enabled" } } },"minimax-m2.7": { "name": "MiniMax-M2.7", "options": { "thinking": { "type": "enabled" } } },"minimax-m3": { "name": "MiniMax-M3", "options": { "thinking": { "type": "enabled" } } },"deepseek-v4.1-flash": { "name": "DeepSeek-V4.1-Flash", "options": { "thinking": { "type": "enabled" } } },"deepseek-v4-flash": { "name": "DeepSeek-V4-Flash", "options": { "thinking": { "type": "enabled" } } },"deepseek-v4-pro": { "name": "DeepSeek-V4-Pro", "options": { "thinking": { "type": "enabled" } } },"deepseek-v4-flash-0731": { "name": "DeepSeek-V4-Flash 0731 正式版", "options": { "thinking": { "type": "enabled" } } },"deepseek-v4-pro-0813": { "name": "DeepSeek-V4-Pro 0813 正式版", "options": { "thinking": { "type": "enabled" } } },"deepseek/deepseek-flash": { "name": "DeepSeek-V4.1-Flash 原厂直供", "options": { "thinking": { "type": "enabled" } } },"deepseek-v4-flash-202605": { "name": "DeepSeek-V4-Flash 正式版 原厂直供", "options": { "thinking": { "type": "enabled" } } },"deepseek-v4-pro-202606": { "name": "DeepSeek-V4-Pro 正式版 原厂直供", "options": { "thinking": { "type": "enabled" } } },"deepseek/deepseek-v4-flash-vision-exp": { "name": "DeepSeek-V4-Flash-Vision-Exp 原厂直供", "options": { "thinking": { "type": "enabled" } } }}}}}
{"$schema": "https://kilo.ai/config.json","provider": {"lkeap": {"npm": "@ai-sdk/anthropic","name": "Tencent Token Plan Enterprise","options": {"baseURL": "https://tokenhub-intl.tencentmaas.com/plan/anthropic/v1","apiKey": "<USER_API_KEY>"},"models": {"auto": { "name": "Auto", "options": { "thinking": { "type": "enabled" } } },"glm-5.3-flash": { "name": "GLM-5.3-Flash", "options": { "thinking": { "type": "enabled" } } },"glm-5.3": { "name": "GLM-5.3", "options": { "thinking": { "type": "enabled" } } },"glm-5.2": { "name": "GLM-5.2", "options": { "thinking": { "type": "enabled" } } },"glm-5": { "name": "GLM-5", "options": { "thinking": { "type": "enabled" } } },"glm-5.1": { "name": "GLM-5.1", "options": { "thinking": { "type": "enabled" } } },"glm-5-turbo": { "name": "GLM-5-Turbo", "options": { "thinking": { "type": "enabled" } } },"kimi-k3": { "name": "Kimi K3", "options": { "thinking": { "type": "enabled" } } },"kimi-k2.7-code": { "name": "Kimi K2.7 Code", "options": { "thinking": { "type": "enabled" } } },"kimi-k2.7-code-highspeed": { "name": "Kimi K2.7 Code HighSpeed", "options": { "thinking": { "type": "enabled" } } },"kimi-k2.6": { "name": "Kimi-K2.6", "options": { "thinking": { "type": "enabled" } } },"minimax-m2.7": { "name": "MiniMax-M2.7", "options": { "thinking": { "type": "enabled" } } },"minimax-m3": { "name": "MiniMax-M3", "options": { "thinking": { "type": "enabled" } } },"deepseek-v4.1-flash": { "name": "DeepSeek-V4.1-Flash", "options": { "thinking": { "type": "enabled" } } },"deepseek-v4-flash": { "name": "DeepSeek-V4-Flash", "options": { "thinking": { "type": "enabled" } } },"deepseek-v4-pro": { "name": "DeepSeek-V4-Pro", "options": { "thinking": { "type": "enabled" } } },"deepseek-v4-flash-0731": { "name": "DeepSeek-V4-Flash 0731 正式版", "options": { "thinking": { "type": "enabled" } } },"deepseek-v4-pro-0813": { "name": "DeepSeek-V4-Pro 0813 正式版", "options": { "thinking": { "type": "enabled" } } },"deepseek/deepseek-flash": { "name": "DeepSeek-V4.1-Flash 原厂直供", "options": { "thinking": { "type": "enabled" } } },"deepseek-v4-flash-202605": { "name": "DeepSeek-V4-Flash 正式版 原厂直供", "options": { "thinking": { "type": "enabled" } } },"deepseek-v4-pro-202606": { "name": "DeepSeek-V4-Pro 正式版 原厂直供", "options": { "thinking": { "type": "enabled" } } },"deepseek/deepseek-v4-flash-vision-exp": { "name": "DeepSeek-V4-Flash-Vision-Exp 原厂直供", "options": { "thinking": { "type": "enabled" } } }}}}}
{"$schema": "https://kilo.ai/config.json","provider": {"lkeap": {"npm": "@ai-sdk/anthropic","name": "Tencent Token Plan Enterprise","options": {"baseURL": "https://tokenhub.tencentmaas.com/plan/anthropic/v1","apiKey": "<USER_API_KEY>"},"models": {"auto": {"name": "Auto","options": {"thinking": {"type": "enabled","budgetTokens": 1024}}}}}}}
{"$schema": "https://kilo.ai/config.json","provider": {"lkeap": {"npm": "@ai-sdk/anthropic","name": "Tencent Token Plan Enterprise","options": {"baseURL": "https://tokenhub-intl.tencentmaas.com/plan/anthropic/v1","apiKey": "<USER_API_KEY>"},"models": {"auto": {"name": "Auto","options": {"thinking": {"type": "enabled","budgetTokens": 1024}}}}}}}
使用 Kilo CLI
配置完成后执行如下命令启动 Kilo CLI。
kilo
输入
/models，选择 Tencent Token Plan Enterprise 分组下的模型。
