ClaudeCode
安装
# 国内镜像源
npm config set registry https://registry.npmmirror.com
# 原始链接
npm install -g @anthropic-ai/claude-code
配置
系统变量(初始化用，然后就可以选择屏蔽掉，后续用的是settings.json中的配置)
#claude-code 自有模型配置 export ANTHROPIC_BASE_URL=http://localhost:1234 或者 https://xxx/anthropic export ANTHROPIC_AUTH_TOKEN=sk-xxx export ANTHROPIC_MODEL=qwen3.5-plus全局配置
新建/更新settings.json,位于~/.claude
{ "env": { "ANTHROPIC_BASE_URL": "https://xxx/anthropic", "ANTHROPIC_API_KEY": "sk-xxxx", "ANTHROPIC_MODEL": "qwen3.5-plus" }, "allowedModels": [ "glm-5", "kimi-k2.5", "MiniMax-M2.5", "qwen3-coder-plus", "qwen3.5-plus" ], "theme": "system", "editor": "sublime", "shell": "zsh", "autoAccept": false, "autoEdit": false, "verbosity": "normal", "maxSessionTurns": 100, "history": { "maxSize": 1000, "save": true }, "mcpServers": {}, "context": { "maxBytes": 500000, "fileLimit": 100 }, "notifications": { "enabled": false }, "customInstructions": "保持代码简洁，避免过度工程化。修改文件前先读取，使用 Edit 而非 Write 进行小改动。优先使用专用工具（Read/Write/Edit/Glob/Grep）而非 Bash 执行文件操作。", "diffEnabled": true, "fuzzyMatch": true }
使用
1.打开Iterm或其他终端工具
2.进入项目目录，执行claude
3.开始使用
Codex
安装
npm install -g @openai/codex --registry=https://registry.npmmirror.com
配置
新建/更新config.toml,位于~/.codex
# =====================================================
# 模型元数据配置 (必须在 model 引用之前定义)
# =====================================================
[model_metadata.qwen3.5-plus]
context_window = 131072
max_output_tokens = 8192
supports_vision = false
supports_function_calling = true
# =====================================================
# 全局配置
# =====================================================
# 当前使用的模型
model = "qwen3.5-plus"
# 当前使用的模型提供商（对应下方 [model_providers.*]）
model_provider = "vapi"
# 推理努力程度：low | medium | high
model_reasoning_effort = "medium"
# 默认 API 基础 URL
base_url = "https://xxx/v1"
# API 格式：chat | responses
wire_api = "responses"
# =====================================================
# 模型提供商配置
# =====================================================
# 使用说明：
# 1. 切换模型只需修改 model_provider 为下方对应的 provider 名称
# 2. API Key 建议通过环境变量设置，在对应 provider 下配置 env_key
# 3. wire_api: "chat" = OpenAI 兼容格式，"responses" = Anthropic 格式
# --- 阿里云通义千问 ---
[model_providers.vapi]
name = "VAPI"
base_url = "https://xxx/v1"
# env_key = "DASHSCOPE_API_KEY"
wire_api = "responses"
# --- OpenAI (GPT-4 / GPT-4o / o1 系列) ---
[model_providers.openai]
name = "OpenAI"
base_url = "https://api.openai.com/v1"
# env_key = "OPENAI_API_KEY"
wire_api = "responses"
# 可用模型：gpt-4o, gpt-4o-mini, gpt-4-turbo, o1, o3-mini
# --- Ollama (本地模型) ---
[model_providers.ollama]
name = "Ollama"
base_url = "http://localhost:11434/v1"
wire_api = "responses"
使用
1.打开Iterm或其他终端工具
2.进入项目目录，执行codex
3.填入apiKey
4.开始使用
