worker-benchmarks

仓库: ruvnet/claude-flow
安装量: 39
排名: #21497

安装

npx skills add https://github.com/ruvnet/ruflo --skill worker-benchmarks

Worker Benchmarks Skill Run comprehensive performance benchmarks for the agentic-flow worker system. Quick Start

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
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: 6
Passed: 6 | Failed: 0
Avg Latency: 0.567ms
Total Duration: 2345ms
Peak 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 suite
const
suite
=
await
runBenchmarks
(
)
;
console
.
log
(
suite
.
summary
)
;
// Run individual benchmarks
const
triggerResult
=
await
workerBenchmarks
.
benchmarkTriggerDetection
(
1000
)
;
const
registryResult
=
await
workerBenchmarks
.
benchmarkRegistryOperations
(
500
)
;
Performance Optimization Tips
Model Cache
Enable with
CLAUDE_FLOW_MODEL_CACHE_MB=512
Parallel Workers
Enable with
CLAUDE_FLOW_WORKER_PARALLEL=true
Warning Suppression
Enable with
CLAUDE_FLOW_SUPPRESS_WARNINGS=true
SQLite WAL Mode
Automatic for better concurrent performance
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