AI小龙虾OpenClaw通讯渠道配置指南
基础通讯配置
服务器连接设置
host: "api.openclaw.ai"
port: 443
protocol: "wss" # WebSocket Secure
reconnect_interval: 5000 # 重连间隔(毫秒)
# 认证配置
authentication:
method: "jwt"
token_refresh: 3600 # token刷新间隔(秒)
API密钥管理
# 初始化API密钥 openclaw config set api_key "your_api_key_here" # 验证连接 openclaw connection test
支持的通訊渠道
WebSocket实时通讯
// 前端集成示例
const socket = new WebSocket('wss://api.openclaw.ai/v1/ws');
socket.onopen = () => {
socket.send(JSON.stringify({
type: 'auth',
api_key: 'YOUR_API_KEY'
}));
};
// 接收AI响应
socket.onmessage = (event) => {
const data = JSON.parse(event.data);
console.log('AI响应:', data.response);
};
REST API配置
# Python客户端示例
import requests
headers = {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json"
}
response = requests.post(
"https://api.openclaw.ai/v1/chat",
headers=headers,
json={
"message": "你好,小龙虾AI",
"model": "openclaw-pro"
}
)
消息队列集成
# RabbitMQ配置
mq:
rabbitmq:
host: "rabbitmq.yourdomain.com"
port: 5672
vhost: "/openclaw"
queue:
input: "ai_requests"
output: "ai_responses"
# Kafka配置
kafka:
bootstrap_servers: "kafka1:9092,kafka2:9092"
topics:
request: "openclaw_requests"
response: "openclaw_responses"
第三方平台集成
微信小程序配置
// app.js
App({
openclawConfig: {
baseUrl: 'https://api.openclaw.ai',
timeout: 10000,
// 请求拦截器
requestInterceptor(config) {
config.header['X-OpenClaw-Token'] = wx.getStorageSync('openclaw_token')
return config
}
}
})
钉钉/飞书机器人
# bot_config.yaml dingtalk: webhook: "https://oapi.dingtalk.com/robot/send" secret: "YOUR_SECRET" keywords: ["@小龙虾"] # 触发关键词 feishu: app_id: "YOUR_APP_ID" app_secret: "YOUR_APP_SECRET" verification_token: "YOUR_VERIFICATION_TOKEN"
电子邮件通道
# email_handler.py
from openclaw.communication import EmailChannel
email_channel = EmailChannel(
smtp_server="smtp.yourdomain.com",
smtp_port=587,
sender="ai@yourdomain.com",
# 处理规则
rules={
"priority": ["urgent", "normal", "low"],
"auto_reply": True,
"attachments": True
}
)
安全配置
SSL/TLS设置
# 生成SSL证书
openssl req -x509 -newkey rsa:4096 -keyout key.pem -out cert.pem -days 365
# 在配置中启用
security:
ssl:
enabled: true
cert_path: "/path/to/cert.pem"
key_path: "/path/to/key.pem"
ca_bundle: "/path/to/ca-bundle.crt"
访问控制
acl:
# IP白名单
ip_whitelist:
- "192.168.1.0/24"
- "10.0.0.0/8"
# 速率限制
rate_limit:
requests_per_minute: 60
burst_limit: 10
# API密钥权限
api_key_scopes:
- "chat:read"
- "chat:write"
- "files:read"
监控与日志
连接状态监控
# monitor.py
from openclaw.monitoring import ConnectionMonitor
monitor = ConnectionMonitor(
check_interval=30, # 秒
alert_threshold=3, # 连续失败次数
# 告警渠道
alert_channels: ["email", "slack", "webhook"],
# 监控指标
metrics: [
"latency",
"throughput",
"error_rate",
"connection_count"
]
)
日志配置
logging:
level: "INFO"
format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
handlers:
file:
path: "/var/log/openclaw/communication.log"
max_size: "100MB"
backup_count: 10
# 外部日志服务
elasticsearch:
hosts: ["http://elasticsearch:9200"]
index: "openclaw-logs-%{+yyyy.MM.dd}"
故障排查
连接测试命令
# 测试基础连接 openclaw diagnose connection # 测试API端点 curl -X GET https://api.openclaw.ai/v1/health # 检查网络延迟 openclaw network test --target api.openclaw.ai
常见问题解决
| 问题 | 可能原因 | 解决方案 |
|---|---|---|
| 连接超时 | 防火墙阻止 | 检查端口443是否开放 |
| 认证失败 | API密钥过期 | 重新生成API密钥 |
| WebSocket断开 | 心跳超时 | 调整keepalive间隔 |
| 响应缓慢 | 服务器负载高 | 启用请求队列 |
调试模式
# 启用详细日志 export OPENCLAW_LOG_LEVEL=DEBUG # 启动调试服务器 openclaw server start --debug # 查看实时日志 tail -f /var/log/openclaw/debug.log
高级配置
负载均衡
load_balancer:
strategy: "round_robin"
servers:
- "node1.openclaw.ai:443"
- "node2.openclaw.ai:443"
- "node3.openclaw.ai:443"
health_check:
interval: 30
timeout: 5
unhealthy_threshold: 2
多区域部署
regions:
cn-east:
endpoint: "https://cn-east.api.openclaw.ai"
latency: 50ms
us-west:
endpoint: "https://us-west.api.openclaw.ai"
latency: 200ms
eu-central:
endpoint: "https://eu-central.api.openclaw.ai"
latency: 150ms
# 自动路由配置
routing:
strategy: "latency_based"
failover: true
快速开始示例
- 最小化配置
# minimal_config.py from openclaw import OpenClawClient
client = OpenClawClient( api_key="your_api_key", endpoint="https://api.openclaw.ai/v1" )

response = client.chat("你好!") print(response)
2. **Docker部署**
```dockerfile
# Dockerfile
FROM python:3.9
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY openclaw_config.yaml /etc/openclaw/
COPY app.py .
CMD ["python", "app.py"]
注意事项:
- 生产环境建议使用专用网络通道
- 定期更新API密钥和证书
- 监控通道使用情况和性能指标
- 重要操作建议启用双因素认证
如需更详细的配置说明,请参考官方文档或运行:
openclaw config --help
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