Worker Benchmarks

Worker Benchmarks Skill

Run comprehensive performance benchmarks for the agentic-flow worker system.

Quick Start

# Run full benchmark suitenpx agentic-flow workers benchmark
# Run specific benchmarknpx agentic-flow workers benchmark --type trigger-detectionnpx agentic-flow workers benchmark --type registrynpx agentic-flow workers benchmark --type agent-selectionnpx 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: unique patterns, throughput

Output Format

═══════════════════════════════════════════════════════════📈 BENCHMARK RESULTS═══════════════════════════════════════════════════════════
✅ Trigger Detection   Operation: detect   Count: 1,000   Avg: 0.045ms | p95: 0.120ms (target: 5ms)   Throughput: 22,222 ops$s   Memory Δ: 0.12MB
✅ Worker Registry   Operation: crud   Count: 1,500   Avg: 1.234ms | p95: 3.456ms (target: 10ms)   Throughput: 810 ops$s   Memory Δ: 2.34MB
───────────────────────────────────────────────────────────📊 SUMMARY───────────────────────────────────────────────────────────Total Tests: 6Passed: 6 | Failed: 0Avg Latency: 0.567msTotal Duration: 2345msPeak Memory: 8.90MB═══════════════════════════════════════════════════════════

Integration with Settings

Benchmark thresholds are configured in .claude$settings.json:

{  "performance": {    "benchmarkThresholds": {      "triggerDetection": { "p95Ms": 5 },      "workerRegistry": { "p95Ms": 10 },      "agentSelection": { "p95Ms": 1 },      "memoryKeyGeneration": { "p95Ms": 0.1 },      "concurrentWorkers": { "totalMs": 1000 }    }  }}

Programmatic Usage

import { workerBenchmarks, runBenchmarks } from 'agentic-flow$workers$worker-benchmarks';
// Run full suiteconst suite = await runBenchmarks();console.log(suite.summary);
// Run individual benchmarksconst triggerResult = await workerBenchmarks.benchmarkTriggerDetection(1000);const registryResult = await workerBenchmarks.benchmarkRegistryOperations(500);

Performance Optimization Tips

1. Model Cache: Enable with CLAUDE_FLOW_MODEL_CACHE_MB=512
2. Parallel Workers: Enable with CLAUDE_FLOW_WORKER_PARALLEL=true
3. Warning Suppression: Enable with CLAUDE_FLOW_SUPPRESS_WARNINGS=true
4. SQLite WAL Mode: Automatic for better concurrent performance