Codex CLI

mkdir -p ~/.codex
nano ~/.codex/config.toml

model_provider = "vapi"  # 设置API供应商
model = "gpt-5.1"        # 填写支持codex的模型即可
model_reasoning_effort = "low" # 思考级别 low medium（默认） high minimal，不需要可以#注释掉
 
# 供应商设置
[model_providers.vapi]
name = "VAPI"
base_url = "https://api.v3.cm/v1"
env_key = "V_API_KEY"    # 保留这个值，不需要替换为apikey
wire_api = "responses" # 使用 /v1/responses 端点
query_params = {}
request_max_retries = 3            # 失败最大重试次数
stream_max_retries = 6            # 流中断后最大重试次数

# 临时设置，切换窗口后失效
set V_API_KEY=sk-xxxxxx
 
# 永久设置
setx V_API_KEY "sk-xxxxxx"

# 如果使用 bash
nano ~/.bash_profile
# 或
nano ~/.bashrc
 
# 如果使用 zsh（Mac默认）
nano ~/.zshrc

export V_API_KEY="sk-xxxxxx"

# bash
source ~/.bash_profile
 
# zsh
source ~/.zshrc

export V_API_KEY="sk-xxxxxx"

# Windows (CMD)
echo %V_API_KEY%
 
# Windows (PowerShell)
echo $env:V_API_KEY
 
# Mac/Linux
echo $V_API_KEY

# 直接提问
codex "你好"
 
# 选择提供商并提问(如果有多个提供商的话)
codex --profile vapi "你好"

- name: Update changelog via Codex
  run: |
    npm install -g @openai/codex
    export OPENAI_API_KEY="${{ secrets.OPENAI_KEY }}"
    codex exec --full-auto "update CHANGELOG for next release"

# IMPORTANT: the top-level key is `mcp_servers` rather than `mcpServers`.
[mcp_servers.server-name]
command = "npx"
args = ["-y", "mcp-server"]
env = { "API_KEY" = "value" }