agent-v3-performance-engineer

Compare standard attention against Flash Attention across test sequences of lengths 512 to 4096, measuring execution time and peak heap memory for each. The speedup ratio and memory reduction percentage are then checked against the 2.49x-7.47x and 50-75% targets.

Run the same set of test queries through both the baseline linear search and the AgentDB HNSW index, then divide baseline time by HNSW time. The benchmark validates whether the improvement falls within the 150x to 12,500x target range.

It validates Flash Attention speedup of 2.49x-7.47x, search improvement of 150x-12,500x, memory reduction of 50-75%, cold start under 500ms, and SONA adaptation under 0.05ms. It also checks 15-agent swarm coordination efficiency.

The regression detector runs the full benchmark suite and compares each metric against stored baseline values. Any metric degrading by more than 5% is flagged as a regression, and the report includes recommended fixes.

Benchmark results depend on hardware, dataset size, and test sequence lengths, so targets validated in one environment may not hold elsewhere. The framework detects relative regressions against baselines but cannot guarantee absolute latency in production conditions.