Agent-trace datasets compared for replay benchmarking

This article surveys six major agent-trace datasets used in the inference-serving world to benchmark and replay real or simulated workloads, analyzing what each dataset retains or discards. The author examines how different replay mechanisms turn these traces back into live or simulated loads across various operational stages, from early proof-of-concept testing to pre-production gates. The choice of dataset and replay harness dictates whether infrastructure questions, KV-cache reuse, or semantic agent behaviors can be accurately evaluated. Open article →