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 ```\n\n2. **启动 Ola CC**\n\n   ```bash\n   ola-cc\n   ```\n\n## 架构说明\n\n本项目采用 **包装器 + 原生二进制分发** 模式：\n\n- **主包** `@zyzheal/ola-cc` — 包含安装脚本和 Node.js 兼容的 JS bundle，安装时自动下载对应平台的原生二进制（macOS/Linux）或 JS bundle（Windows）\n- **平台子包** `@zyzheal/ola-cc-darwin-arm64` 等 — 每个平台一个独立包\n\n### 平台运行方式\n\n| 平台 | 运行方式 | 说明 |\n|------|----------|------|\n| macOS | Bun 编译原生二进制 | 高性能，单进程 |\n| Linux | Bun 编译原生二进制 | 高性能，单进程 |\n| Windows | Node.js JS bundle | 稳定可靠，避免 Bun 编译二进制在 Windows 上的兼容性问题 |\n\n### 支持的平台\n\n| 平台包名 | 操作系统 | CPU |\n|----------|----------|-----|\n| `@zyzheal/ola-cc-darwin-arm64` | macOS | Apple Silicon (M1/M2/M3/M4) |\n| `@zyzheal/ola-cc-darwin-x64` | macOS | Intel |\n| `@zyzheal/ola-cc-linux-x64` | Linux | x64 (glibc) |\n| `@zyzheal/ola-cc-linux-arm64` | Linux | ARM64 (glibc) |\n| `@zyzheal/ola-cc-linux-x64-musl` | Linux | x64 (musl/Alpine) |\n| `@zyzheal/ola-cc-linux-arm64-musl` | Linux | ARM64 (musl/Alpine) |\n| `@zyzheal/ola-cc-win32-x64` | Windows | x64 |\n| `@zyzheal/ola-cc-win32-arm64` | Windows | ARM64 |\n\n## 配置文件详解\n\nOla CC 的配置存储在 `~/.claude/` 目录中。\n\n### 配置目录结构\n\n```\n~/.claude/\n├── settings.json           # 用户设置（MCP 服务器、偏好等）\n├── session.json            # 会话级环境配置（API 密钥、模型、环境变量等）\n├── CLAUDE.md               # 项目级指令文件\n└── chrome/                 # Chrome 扩展原生主机文件\n    ├── chrome-native-host  # Unix: 包装脚本\n    └── chrome-native-host.bat  # Windows: 包装脚本\n```\n\n### 配置读取优先级\n\n| 优先级 | 来源 | 说明 |\n|--------|------|------|\n| 1 | 命令行参数 | 启动时 `--` 传入的参数 |\n| 2 | 环境变量 | 当前 shell 环境中的变量 |\n| 3 | `~/.claude/session.json` | 会话级配置（API 密钥、模型、环境变量等） |\n| 4 | `~/.claude/settings.json` | 用户级持久化设置（MCP 服务器、偏好设置等） |\n| 5 | `.claude/CLAUDE.md` | 项目级指令（仅影响当前项目） |\n\n> 高优先级的配置会覆盖低优先级的同名设置。\n\n### session.json 配置（会话级）\n\n`~/.claude/session.json` 用于配置会话级别的环境变量和模型设置。\n\n#### 完整示例\n\n```json\n{\n  \"env\": {\n    \"OPENAI_API_KEY\": \"sk-xxx\",\n    \"OPENAI_BASE_URL\": \"https://api.openai.com/v1\",\n    \"OPENAI_MODEL\": \"gpt-4o\",\n    \"CLAUDE_CODE_FORCE_FULL_LOGO\": \"true\"\n  },\n  \"model\": {\n    \"name\": \"gpt-4o\",\n    \"provider\": \"openai\"\n  }\n}\n```\n\n#### env 字段 — 环境变量注入\n\n`env` 对象中的键值对会在会话启动时注入为环境变量。常用配置：\n\n| 变量 | 说明 | 必填 |\n|------|------|------|\n| `OPENAI_API_KEY` | API 密钥 | 是 |\n| `OPENAI_BASE_URL` | API 基础 URL | 是 |\n| `OPENAI_MODEL` | 模型名称 | 推荐 |\n| `CLAUDE_CODE_USE_OPENAI` | 启用 OpenAI 协议（设为 `1`） | 是 |\n| `CLAUDE_CODE_ENABLE_CFC` | 启用 Chrome 集成（1=启用，0=禁用） | 否 |\n| `CLAUDE_CHROME_HTTP` | 启用 Chrome HTTP 桥接（1=启用） | 否 |\n| `CLAUDE_CHROME_HTTP_PORT` | HTTP 桥接端口（默认 12306） | 否 |\n\n#### model 字段 — 模型选择\n\n```json\n{\n  \"model\": {\n    \"name\": \"gpt-4o\",\n    \"provider\": \"openai\"\n  }\n}\n```\n\n- **name** — 模型名称，取决于你的 API 服务\n- **provider** — 提供商类型：`openai`、`bedrock`、`vertex` 等\n\n### settings.json 配置（用户级）\n\n`~/.claude/settings.json` 用于持久化用户设置。\n\n#### MCP 服务器配置\n\n```json\n{\n  \"mcpServers\": {\n    \"filesystem\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@modelcontextprotocol/server-filesystem\", \"/path/to/allowed/dir\"]\n    },\n    \"github\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@modelcontextprotocol/server-github\"]\n    }\n  }\n}\n```\n\n#### 宠物（SprocketDudot）配置\n\n```json\n{\n  \"sprocketDudot\": {\n    \"enabled\": true\n  }\n}\n```\n\n### CLAUDE.md 配置（项目级）\n\n在项目根目录创建 `.claude/CLAUDE.md`，用于定义项目特定的指令和行为：\n\n```markdown\n# 项目指令\n\n你正在协助开发一个 Node.js 项目。请遵循以下规则：\n\n- 使用 TypeScript\n- 遵循 ESLint 规范\n- 编写单元测试\n```\n\n## OpenAI 协议支持\n\n当设置 `CLAUDE_CODE_USE_OPENAI=1` 时，CLI 使用 OpenAI 兼容协议与 API 通信。\n\n### 支持的 API 端点\n\n| 服务 | OPENAI_BASE_URL | 说明 |\n|------|----------------|------|\n| OpenAI 官方 | `https://api.openai.com/v1` | GPT-4o、o1 等 |\n| 阿里云百炼 DashScope | `https://coding.dashscope.aliyuncs.com/v1` | 通义千问系列 |\n| Ollama (本地) | `http://127.0.0.1:11434/v1` | 本地开源模型 |\n| vLLM | `http://localhost:8000/v1` | 兼容 OpenAI 格式 |\n\n### 使用示例\n\n```bash\n# OpenAI 官方 API\nOPENAI_API_KEY=\"sk-xxx\" OPENAI_BASE_URL=\"https://api.openai.com/v1\" OPENAI_MODEL=\"gpt-4o\" ola-cc\n\n# 阿里云百炼\nOPENAI_API_KEY=\"your-key\" OPENAI_BASE_URL=\"https://coding.dashscope.aliyuncs.com/v1\" OPENAI_MODEL=\"qwen3.6-plus\" ola-cc\n\n# Ollama 本地模型\nOPENAI_BASE_URL=\"http://127.0.0.1:11434/v1\" OPENAI_MODEL=\"llama3.1\" ola-cc\n```\n\n### 模型选择优先级\n\n| 优先级 | 来源 |\n|--------|------|\n| 1 | `/model` 命令（会话中动态切换） |\n| 2 | `--model` 启动参数 |\n| 3 | `ANTHROPIC_MODEL` 环境变量 |\n| 4 | `OPENAI_MODEL` 环境变量 |\n| 5 | `~/.claude/settings.json` 中的 `model` 字段 |\n| 6 | 内置默认值 |\n\n## 环境变量总览\n\n| 变量 | 说明 |\n|------|------|\n| `OPENAI_API_KEY` | OpenAI API 密钥 |\n| `OPENAI_BASE_URL` | OpenAI 兼容 API 基础 URL |\n| `OPENAI_MODEL` | 模型名称 |\n| `CLAUDE_CODE_USE_OPENAI` | 启用 OpenAI 协议（1=启用） |\n| `ANTHROPIC_API_KEY` | Anthropic API 密钥（直连 Anthropic 时使用） |\n| `CLAUDE_CODE_ENABLE_CFC` | 启用 Chrome 集成（1=启用） |\n| `CLAUDE_CHROME_HTTP` | 启用 Chrome HTTP 桥接（1=启用） |\n| `CLAUDE_CHROME_HTTP_PORT` | HTTP 桥接端口（默认 12306） |\n| `CLAUDE_CODE_EXTRA_BODY` | API 请求的额外 body 参数 |\n| `SPROCKET_DUDOT_ENABLED` | 开启宠物功能（1=启用） |\n\n## Chrome 扩展（可选）\n\n浏览器自动化需要安装 Claude in Chrome 扩展：\n\n1. Ola CC 会自动安装原生主机清单\n2. 从 Chrome 应用商店安装扩展\n3. 设置 `CLAUDE_CODE_ENABLE_CFC=1` 或使用 `--chrome` 参数\n\n## 构建\n\n```bash\n# 构建包装器包\nbun run build:bin:wrapper\n\n# 构建平台二进制包（当前平台）\nbun run build:bin:platform\n\n# 完整构建（包装器 + 当前平台二进制）\nbun run build:bin\n```\n\n> **注意**：Windows 平台构建会使用 Node.js JS bundle 而非 Bun 编译二进制，以确保稳定性。\n\n## 故障排除\n\n### Windows 安装问题\n\n如果 Windows 安装后运行 `ola-cc` 出现问题：\n\n**方案 1：检查 Node.js 版本**\n\n确保 Node.js >= 18：\n\n```bash\nnode --version\n```\n\n**方案 2：手动启动 JS bundle**\n\n绕过 npm bin shim，直接运行 JS bundle：\n\n```bash\nnode \"%APPDATA%\\npm\\node_modules\\@zyzheal\\ola-cc\\cli.mjs\"\n```\n\n或本地安装时：\n\n```bash\nnode node_modules/@zyzheal/ola-cc/cli.mjs\n```\n\n**方案 3：使用降级启动器**\n\n```bash\nnode node_modules/@zyzheal/ola-cc/cli-wrapper.cjs\n```\n\n### macOS/Linux 原生二进制问题\n\n如果原生二进制无法运行：\n\n```bash\n# 手动重新安装\ncd node_modules/@zyzheal/ola-cc\nnode install.cjs\n```\n\n## 许可证\n\n详见 LICENSE.md。\n\n## 更新日志\n\n### v0.4.7\n\n**Windows 稳定性修复**\n\n- **彻底解决 Windows 平台 Bun 崩溃问题**：Windows 改用 JS bundle + Node.js 运行，不再使用 `bun --compile` 生成 `.exe`（已知 Bun 内部 bug 导致段错误）\n- **构建优化**：`nats` 和 `node-pty` 添加到 externals，减少打包体积\n- **原生模块兼容**：Windows 自动跳过 `image-processor-napi`（仅 macOS ARM64），使用 `sharp` 回退\n- **CI 增强**：Windows 新增 `-p` 全模块加载测试（30s 超时），确保初始化稳定性\n","readmeFilename":"README.md"}