A Decoupled and Resilient Natural Language Inference Architecture for Low-Latency LLM Observability Platforms
Jaydeep Vagh;
A Decoupled and Resilient Natural Language Inference Architecture for Low-Latency LLM Observability Platforms
This paper presents the formal characterization and verification of a decoupled Natural Language Inference (NLI) architecture for LLM observability. We prove bounds on expected latency, circuit breaker availability under Markovian transitions, and optimal classification thresholds under Beta priors, validated alongside empirical container profiles.