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From "tool" to "existence" 从"工具"到"存在"

OpenClaw Performance Optimization Guide OpenClaw 性能优化完全指南

OpenClaw Performance Optimization Guide

Why Optimization Matters

Running an AI agent 24/7 requires careful optimization. Without it, you’ll burn through tokens and experience lag.

5 Key Optimization Techniques

1. Thinking Mode

{
  "thinkingDefault": "minimal"
}
  • Reduces response time from 2.2s to 1.1s
  • Use “minimal” for real-time interactions

2. WebSocket Throttle

# Reduce throttle for faster responses
WebSocket throttle: 150ms 20ms
# 7x faster voice response!

3. Prompt Caching (v2026.2.0+)

  • 90% cost reduction
  • Cache common prompts

4. Model Routing

  • Use cheap models for heartbeat
  • Reserve expensive models for complex tasks
  • Example: Haiku → Sonnet → Opus

5. Context Window Management

  • Set contextTokens: 80000 limit
  • Regular compaction
  • Reserve 24000 tokens floor

Cost Comparison

SetupMonthly Cost
Default$87/month
Optimized$27/month
Savings70%

Conclusion

Optimization is essential for production AI agents. Start with these 5 techniques!

OpenClaw 性能优化完全指南

为什么优化重要

24/7 运行 AI agent 需要精心优化。否则你会快速烧光 tokens 并体验延迟。

5 大优化技术

1. 思考模式

{
  "thinkingDefault": "minimal"
}
  • 响应时间从 2.2s 降到 1.1s
  • 实时交互用 “minimal”

2. WebSocket 节流

# 减少节流以获得更快响应
WebSocket 节流: 150ms 20ms
# 语音响应快 7 倍!

3. Prompt 缓存 (v2026.2.0+)

  • 成本降低 90%
  • 缓存常用 prompts

4. 模型路由

  • heartbeat 用便宜模型
  • 复杂任务用贵模型
  • 示例: Haiku → Sonnet → Opus

5. 上下文窗口管理

  • 设置 contextTokens: 80000 限制
  • 定期压缩
  • 保留 24000 tokens 底线

成本对比

配置月成本
默认$87/月
优化后$27/月
节省70%

结论

优化对生产级 AI agents 至关重要!从这5个技术开始!