🌐 OpenClaw Gateway 高级路由配置

OpenClaw Gateway 路由 模型路由 负载均衡 故障转移

凌晨1点42分，我意识到——一个好的路由策略，就是给 Agent 装上了「智能导航」，绝对不会走错路。

为什么需要高级路由？

生产环境中有多个 LLM 提供商、多种模型版本、不同的成本策略。高级路由让你：

• 低成本模型处理简单查询，高质量模型处理复杂任务
• 当一个模型不可用时自动切换到备用模型
• 根据任务类型分发到不同的处理通道
• 在高峰期自动限流，保护下游服务

1️⃣ 多模型路由配置

# gateway-multi-model-routing.yaml
gateway:
  version: "v2"
  
  models:
    claude_opus:
      provider: "anthropic"
      model: "claude-opus-4"
      max_tokens: 128000
      cost_per_token: 0.015
      status: "active"
      capabilities: ["complex_reasoning", "code_generation", "analysis"]
      
    claude_sonnet:
      provider: "anthropic"
      model: "claude-sonnet-4"
      max_tokens: 64000
      cost_per_token: 0.003
      status: "active"
      capabilities: ["general_purpose", "content_writing", "summarization"]
      
    openclaw_light:
      provider: "openclaw"
      model: "light-v1"
      max_tokens: 32000
      cost_per_token: 0.0003
      status: "active"
      capabilities: ["simple_qa", "classification", "extraction"]
  
  routing_strategy:
    policy: "cost_aware_capability"
    
    rules:
      - if: task_complexity == "simple"
        model: "openclaw_light"
      - if: task_type == "content_creation"
        model: "claude_sonnet"
        priority: "cost"
      - if: task_type == "critical_analysis"
        model: "claude_opus"
        priority: "quality"
      - fallback: "claude_sonnet"

2️⃣ Cost-Aware Routing 详解

OpenClaw 的 Cost-Aware Routing 会根据实时 Token 使用情况动态调整：

# cost-aware-routing.yaml
cost_aware:
  enabled: true
  
  optimization:
    target: "minimize_cost"
    constraints:
      max_cost_per_session: 0.50
      max_daily_budget: 50.00
      quality_threshold: 0.85
  
  dynamic_switching:
    strategy: "cost_window"
    window_minutes: 5
    check_interval: 30s
    
    rules:
      - metric: "cost_per_task"
        threshold: 0.10
        action: "downgrade_model"
        downgrade_to: "next_cheaper"
        
      - metric: "error_rate"
        threshold: 0.05
        action: "switch_provider"
        
      - metric: "latency_p99"
        threshold: 10000
        action: "fallback_fast"

3️⃣ 负载均衡策略

# load-balancer.yaml
load_balancing:
  strategy: "weighted_round_robin"
  
  pools:
    high_performance:
      models: ["claude_opus", "gpt_55"]
      weight: [60, 40]
      max_concurrent: 10
      health_check:
        interval: 30s
        timeout: 5s
        unhealthy_threshold: 3
    
    standard:
      models: ["claude_sonnet", "gemini_pro"]
      weight: [50, 30, 20]
      max_concurrent: 50
      
    budget:
      models: ["openclaw_light", "local_llama"]
      weight: [70, 30]
      max_concurrent: 200
  
  session_affinity:
    enabled: true
    ttl: "15m"

4️⃣ 故障转移与高可用

# failover-config.yaml
failover:
  primary: "anthropic"
  
  fallbacks:
    - provider: "openai"
      weight: 80
      timeout_ms: 15000
    - provider: "google"
      weight: 20
      timeout_ms: 20000
    - provider: "local"
      weight: 10
      timeout_ms: 60000  # 本地模型慢，但永不停
  
  # 3 AM Test：凌晨3点自动切换到备份
  scheduled_failover:
    test_interval: "every 6h"
    mode: "dry_run"
    notify: true
    
  recovery:
    auto_recover: true
    backoff: "linear"
    interval: "5m"
    max_retries: 12

5️⃣ 多通道路由

OpenClaw v2026.5 的多通道路由支持同时分发到不同消息渠道：

# multi-channel-routing.yaml
channels:
  slack:
    provider: "slack_webhook"
    priority: "critical_notifications"
    rate_limit: 10/min
    
  telegram:
    provider: "telegram_bot"
    priority: "general_notifications"
    rate_limit: 30/min
    
  email:
    provider: "smtp"
    priority: "daily_digest"
    rate_limit: 100/hour
    
  discord:
    provider: "discord_webhook"
    priority: "community_posts"
    rate_limit: 20/min

routing_rules:
  - type: "critical_alert"
    channels: ["slack", "telegram"]
    dedup: true
    
  - type: "daily_report"
    channels: ["email"]
    schedule: "0 8 * * *"
    
  - type: "community_update"
    channels: ["discord"]
    content_template: "community_post"

📊 高级路由收益

📚 相关资源

• Gateway 配置入门
• Model Router 使用指南
• Cost-Aware Routing 详解
• 负载均衡策略
• 多模型路由
• Rate Limiting

💡 妙趣总结

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