worker-benchmarks
SolidRun comprehensive worker system benchmarks and performance analysis
AI & Automation 59,062 stars
6797 forks Updated today MIT
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Skill Content
# Worker Benchmarks Skill
Run comprehensive performance benchmarks for the agentic-flow worker system.
## Quick Start
```bash
# Run full benchmark suite
npx agentic-flow workers benchmark
# Run specific benchmark
npx agentic-flow workers benchmark --type trigger-detection
npx agentic-flow workers benchmark --type registry
npx agentic-flow workers benchmark --type agent-selection
npx agentic-flow workers benchmark --type concurrent
```
## Benchmark Types
### 1. Trigger Detection (`trigger-detection`)
Tests keyword detection speed across 12 worker triggers.
- **Target**: p95 < 5ms
- **Iterations**: 1000
- **Metrics**: latency, throughput, histogram
### 2. Worker Registry (`registry`)
Tests CRUD operations on worker entries.
- **Target**: p95 < 10ms
- **Iterations**: 500 creates, gets, updates
- **Metrics**: per-operation latency breakdown
### 3. Agent Selection (`agent-selection`)
Tests performance-based agent selection.
- **Target**: p95 < 1ms
- **Iterations**: 1000
- **Metrics**: selection confidence, agent scores
### 4. Model Cache (`cache`)
Tests model caching performance.
- **Target**: p95 < 0.5ms
- **Metrics**: hit rate, cache size, eviction stats
### 5. Concurrent Workers (`concurrent`)
Tests parallel worker creation and updates.
- **Target**: < 1000ms for 10 workers
- **Metrics**: per-worker latency, memory usage
### 6. Memory Key Generation (`memory-keys`)
Tests memory pattern key generation.
- **Target**: p95 < 0.1ms
- **Iterations**: 5000
- **Metrics**: un...
Details
- Author
- ruvnet
- Repository
- ruvnet/ruflo
- Created
- 1 years ago
- Last Updated
- today
- Language
- TypeScript
- License
- MIT
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