RAG-Perf — config-driven perf benchmark CLI Purpose Drive a deployed NVIDIA RAG Blueprint server with a YAML config, run a server-side profiling pass (per-stage timing, citation quality, bottleneck inference) and an optional aiperf load test (TTFT / E2E / token & request throughput / error rate), and write a unified report. The CLI is intentionally minimal: plus / . Behaviour is fully config-driven; field variations belong in YAML. Scope - Accuracy / RAGAS scoring of answer quality → use the rag-eval skill. - Deploying, repairing, or configuring services (compose, helm, NIM env vars) → use th…