# Linux / macOS
chmod +x claude-proxy-*
./claude-proxy-linux-amd64  # 或对应的文件名

# Windows (PowerShell)
.\claude-proxy-windows-amd64.exe

PROXY_ACCESS_KEY=your-super-strong-secret-key
PORT=3000
ENABLE_WEB_UI=true

# 直接拉取预构建镜像并运行
docker run -d \
  --name claude-proxy \
  -p 3000:3000 \
  -e PROXY_ACCESS_KEY=your-super-strong-secret-key \
  -v $(pwd)/.config:/app/.config \
  crpi-i19l8zl0ugidq97v.cn-hangzhou.personal.cr.aliyuncs.com/bene/claude-proxy:latest

# 1. 克隆项目（仅需 docker-compose.yml）
git clone https://github.com/BenedictKing/claude-proxy
cd claude-proxy

# 2. 修改 docker-compose.yml 中的 PROXY_ACCESS_KEY

# 3. 启动服务
docker-compose up -d

# 1. 克隆项目
git clone https://github.com/BenedictKing/claude-proxy
cd claude-proxy

# 2. 配置环境变量
cp backend-go/.env.example backend-go/.env
# 编辑 backend-go/.env 文件，设置你的配置

# 3. 启动服务
make run           # 普通用户运行（推荐）
# 或 make dev       # 开发调试（热重载）
# 或 make help      # 查看所有命令

make run           # 普通用户运行（自动构建前端并启动后端）
make dev           # 开发调试（后端热重载）
make help          # 查看所有可用命令

# 1. 连接 GitHub 仓库到 Railway
# 2. 设置环境变量
PROXY_ACCESS_KEY=your-super-strong-secret-key
ENABLE_WEB_UI=true
ENV=production
PORT=3000

# 3. 自动部署完成
# 访问：https://your-app.railway.app

# 1. 选择 Docker 服务类型
# 2. 连接 GitHub 仓库
# 3. 设置环境变量：
#    PROXY_ACCESS_KEY=your-super-strong-secret-key
#    ENABLE_WEB_UI=true
#    ENV=production
# 4. 自动构建和部署

# 快速部署
fly launch --dockerfile Dockerfile
fly secrets set PROXY_ACCESS_KEY=your-super-strong-secret-key
fly secrets set ENABLE_WEB_UI=true
fly deploy

# 查看状态
fly status
fly logs

# 1. 连接 GitHub 仓库
# 2. 自动检测 Docker 项目
# 3. 设置环境变量
# 4. 一键部署

# 1. 生成强密钥 (必须!)
PROXY_ACCESS_KEY=$(openssl rand -base64 32)
echo "生成的密钥: $PROXY_ACCESS_KEY"

# 2. 生产环境配置
ENV=production
ENABLE_REQUEST_LOGS=false
ENABLE_RESPONSE_LOGS=false
LOG_LEVEL=warn
ENABLE_WEB_UI=true

# 3. 网络安全
# - 使用 HTTPS (推荐 Cloudflare CDN)
# - 配置防火墙规则
# - 定期轮换访问密钥
# - 启用访问日志监控

# 密钥轮换
echo "旧密钥: $OLD_PROXY_ACCESS_KEY"
echo "新密钥: $NEW_PROXY_ACCESS_KEY"

# 更新环境变量
export PROXY_ACCESS_KEY=$NEW_PROXY_ACCESS_KEY

# 重启服务
docker-compose restart claude-proxy

curl -X POST http://localhost:3000/v1/messages \
  -H "x-api-key: your-proxy-access-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-3-5-sonnet-20241022",
    "max_tokens": 100,
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'

curl -X POST http://localhost:3000/v1/messages \
  -H "x-api-key: your-proxy-access-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-3-5-sonnet-20241022",
    "stream": true,
    "max_tokens": 100,
    "messages": [
      {"role": "user", "content": "Count to 10"}
    ]
  }'

curl -X POST http://localhost:3000/v1/messages \
  -H "x-api-key: your-proxy-access-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-3-5-sonnet-20241022",
    "max_tokens": 1000,
    "tools": [
      {
        "name": "get_weather",
        "description": "获取指定城市的天气信息",
        "input_schema": {
          "type": "object",
          "properties": {
            "city": {"type": "string", "description": "城市名称"}
          },
          "required": ["city"]
        }
      }
    ],
    "messages": [
      {"role": "user", "content": "北京今天天气怎么样？"}
    ]
  }'

curl -X POST http://localhost:3000/v1/responses \
  -H "x-api-key: your-proxy-access-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5",
    "max_tokens": 100,
    "input": "你好！请介绍一下你自己。"
  }'

# 第一轮对话
RESPONSE_ID=$(curl -s -X POST http://localhost:3000/v1/responses \
  -H "x-api-key: your-proxy-access-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5",
    "max_tokens": 100,
    "input": "我的名字是张三"
  }' | jq -r '.id')

# 第二轮对话（基于上一轮）
curl -X POST http://localhost:3000/v1/responses \
  -H "x-api-key: your-proxy-access-key" \
  -H "Content-Type: application/json" \
  -d "{
    \"model\": \"gpt-5\",
    \"max_tokens\": 100,
    \"input\": \"你还记得我的名字吗？\",
    \"previous_response_id\": \"$RESPONSE_ID\"
  }"

curl -X POST http://localhost:3000/v1/responses \
  -H "x-api-key: your-proxy-access-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5",
    "stream": true,
    "max_tokens": 200,
    "input": "从1数到10"
  }'

# 获取渠道列表
curl -H "x-api-key: your-proxy-access-key" \
  http://localhost:3000/api/channels

# 测试渠道连通性
curl -H "x-api-key: your-proxy-access-key" \
  http://localhost:3000/api/ping

curl -X POST http://localhost:3000/v1/messages \
  -H "x-api-key: your-proxy-access-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-3-5-sonnet-20241022",
    "max_tokens": 100,
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'
# 后端自动转换并发送到配置的 OpenAI 上游

#!/bin/bash
set -e

PROXY_URL="http://localhost:3000"
API_KEY="your-proxy-access-key"

echo "🏥 测试健康检查..."
curl -s "$PROXY_URL/health" | jq .

echo "\n🔒 测试无密钥访问 (应该失败)..."
curl -s "$PROXY_URL/api/channels" || echo "✅ 正确拒绝无密钥访问"

echo "\n🔑 测试API访问 (应该成功)..."
curl -s -H "x-api-key: $API_KEY" "$PROXY_URL/api/channels" | jq .

echo "\n💬 测试Claude API代理..."
curl -s -X POST "$PROXY_URL/v1/messages" \
  -H "x-api-key: $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-3-5-sonnet-20241022",
    "max_tokens": 50,
    "messages": [{"role": "user", "content": "Hello"}]
  }' | jq .

echo "\n✅ 所有测试完成！"

# 运行测试
chmod +x test-proxy.sh
./test-proxy.sh

# Claude Code CLI 集成测试
# 1. 配置 Claude Code 使用本地代理
export ANTHROPIC_API_URL="http://localhost:3000"
export ANTHROPIC_API_KEY="your-proxy-access-key"

# 2. 测试基础对话
echo "测试Claude Code集成..." | claude-code

# 3. 测试工具调用
echo "请帮我查看当前目录的文件" | claude-code

# 健康检查端点 (无需认证)
GET /health

# 返回示例
{
  "status": "healthy",
  "timestamp": "2024-01-01T00:00:00.000Z",
  "uptime": 3600,
  "mode": "production",
  "config": {
    "upstreamCount": 3,
    "loadBalance": "round-robin"
  }
}

# Docker 容器状态
docker-compose ps
docker-compose logs -f claude-proxy

# 性能监控
docker stats claude-proxy

# 存储使用
du -sh .config/ logs/

LOG_LEVEL=debug  # debug, info, warn, error
ENABLE_REQUEST_LOGS=true   # 记录请求日志
ENABLE_RESPONSE_LOGS=true  # 记录响应日志

# 停止服务
docker-compose down

# 清理配置文件
rm -rf .config/*

# 重新启动
docker-compose up -d

# 获取最新代码
git pull origin main

# 重新构建并启动
docker-compose up -d --build

# 1. 更新版本号
echo "vX.Y.Z" > VERSION

# 2. 提交并打 tag
git add . && git commit -m "chore: bump version to vX.Y.Z"
git tag vX.Y.Z
git push origin main --tags

cd backend-go && make help