proffesor-for-testing__agentic-qe/docs/reports/SUMMARY.md

Performance Benchmarking Reports Summary

This directory contains detailed performance validation reports for Agentic QE v3.

Available Reports

ADR-051: Agentic-Flow Integration Performance Validation

File: adr-051-performance-validation.md Date: 2026-01-20 Status: PARTIALLY IMPLEMENTED (see disclaimers)

IMPORTANT DISCLAIMERS:

1. Agent Booster uses TypeScript, NOT WASM - The agent-booster npm package does not exist
2. QUIC Swarm is NOT implemented - Zero code exists, uses HTTP/WebSocket
3. Performance claims are for 6 specific transform types only

Performance validation of implemented Agentic-Flow components:

• Agent Booster (TypeScript): 10-50x faster than LLM API for 6 mechanical transforms
• Model Router: Fast tier selection working
• ONNX Embeddings: Local embedding generation working
• ReasoningBank: Pattern storage/retrieval working
• Cost Savings: Meaningful for mechanical transforms
• Time Savings: 10-50x for supported transform types

What's NOT Implemented:

• WASM Agent Booster (package doesn't exist)
• QUIC Swarm (zero implementation)

Key Findings:

• Implemented components work for intended use cases
• NOT suitable for complex refactoring (only 6 mechanical patterns)
• Micro-benchmark numbers are synthetic; real-world is 10-50x improvement

Benchmark Suite Location

Source: /workspaces/agentic-qe/v3/tests/benchmarks/agentic-flow-performance.bench.ts

Run Benchmarks:

cd /workspaces/agentic-qe/v3
npx vitest bench tests/benchmarks/agentic-flow-performance.bench.ts --run

Performance Summary (Honest Assessment)

Component	Target	Achieved	Status	Notes
Agent Booster	<5ms	1-20ms	MEETS	TypeScript only (WASM N/A)
Model Router	<10ms	<1ms	EXCEEDS	Working
ONNX Embeddings	<50ms	<1ms	EXCEEDS	Working
ReasoningBank	<20ms	<10ms	EXCEEDS	Working
Cross-Session Hit	50%	~50%	MEETS	Working
Pattern Retention	100%	100%	MEETS	Working
QUIC Swarm	<10ms	N/A	NOT IMPL	Zero code

Realistic Business Impact

Cost Efficiency (for 6 mechanical transform types only)

Before (LLM API for mechanical transforms):

• 10,000 transforms × 200-500ms × $0.001 = **$10/month**
• Total latency: ~50 minutes/month

After (Agent Booster TypeScript):

• 10,000 transforms × 1-20ms × $0 = $0/month
• Total latency: ~3 minutes/month

Realistic Savings:

• Cost reduction for mechanical transforms only
• 10-50x time reduction (not 18,500x - that's a micro-benchmark number)
• Still need LLM for complex refactoring

User Experience

• Fast feedback: 1-20ms for mechanical transforms
• Scalable: Pattern storage works at scale
• Reliable: 100% retention, zero data loss
• Limited: Only 6 transform types supported

Recommendations

Production Ready (with caveats)

Components approved for production:

1. Agent Booster - for 6 mechanical transforms only
2. Model Router - working
3. ONNX Embeddings - working
4. Pattern Storage (ReasoningBank) - working
5. Cross-Session Persistence - working

NOT Implemented (do not use)

1. QUIC Swarm - Zero code exists
2. WASM Agent Booster - Package doesn't exist

Optimization Needed

Pattern Search (295ms for 1000 patterns):

• Current: O(n) brute-force similarity
• Recommendation: Implement HNSW index
• Expected improvement: 295ms → 15-20ms (15x faster)

Future Work (not yet started)

1. QUIC Swarm: Needs full implementation
2. WASM Agent Booster: Needs npm package creation
3. Multi-Model Embeddings: Nice to have

Related Documentation

• ADR-051: Agentic-Flow Integration
• Benchmark Suite README
• Integration Tests

Report Generation

New performance reports should include:

1. Executive Summary: Key findings and status
2. Detailed Analysis: Per-component breakdown
3. Comparative Benchmarks: vs baseline or alternatives
4. Scalability Analysis: Performance under load
5. Recommendations: Production readiness and optimizations
6. Business Impact: Cost/time savings quantification

Contact

For questions about performance reports or benchmarking:

• Team: QE Performance Tester (V3 Agent)
• Domain: chaos-resilience (ADR-011)
• Location: /workspaces/agentic-qe/v3/