Source Code
OpenClaw Optimizer Skill
Overview
The OpenClaw Optimizer is a comprehensive performance and cost optimization skill designed to enhance the efficiency of Clawdbot's subagent workflows.
Core Components
1. Task Router
- Intelligent model selection based on task complexity
- Automatic routing between Haiku, Sonnet, and Opus models
- Cost prediction and optimization
2. Scheduler
- Robust task execution with retry mechanism
- Configurable preflight and postflight hooks
- Timeout and exponential backoff handling
3. Browser Governor
- Browser tab serialization
- Concurrent tab management
- Circuit breaker for preventing runaway processes
4. Context Compaction
- Automatic token tracking
- Summarization at 50,000 token threshold
- Preserves critical context
5. Real-time Dashboard
- Monitor daily budget
- Track task execution
- Visualize model distribution
- Circuit breaker status
Expected Savings
Before Optimization: $90/day After Optimization: $3-5/day Savings: 95%
Installation
npm install @startclaw/openclaw-optimizer
Usage
const { TaskRouter, OptimizerScheduler, BrowserGovernor } = require('@startclaw/openclaw-optimizer');
const router = new TaskRouter();
const scheduler = new OptimizerScheduler();
const browserGovernor = new BrowserGovernor();
// Automatic model and cost optimization
const modelSelection = router.selectModel(taskDescription);
await scheduler.execute(task, modelSelection);
Monitoring
# Real-time dashboard
python3 scripts/dashboard.py watch
License
StartClaw Internal Use License