AI RESEARCH
LLM Readiness Harness: Evaluation, Observability, and CI Gates for LLM/RAG Applications
arXiv CS.AI
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ArXi:2603.27355v1 Announce Type: new We present a readiness harness for LLM and RAG applications that turns evaluation into a deployment decision workflow. The system combines automated benchmarks, OpenTelemetry observability, and CI quality gates under a minimal API contract, then aggregates workflow success, policy compliance, groundedness, retrieval hit rate, cost, and p95 latency into scenario-weighted readiness scores with Pareto frontiers.