Observability & Monitoring Overview
This section covers agent execution tracing, serving optimization monitoring, and quality validation for cache tuning. It also compares observability tools such as Langfuse, LangSmith, and Helicone, and explains agent deployment and lifecycle management with Kagent CRDs.
Document List
Agent Monitoring & Operations Langfuse-based agent monitoring operations — monitoring architecture, key metrics, PromQL, alerting, and cost tracking (for tool comparison, see LLMOps Observability) Serving Optimization Monitoring Connect cache efficiency, KV capacity, latency, and routing across seven observability layers, with explicit delivery, evaluation coverage, and quality gates. Cache Tuning and Accuracy Correlation Define cached-token, turn-gap, and preemption data contracts, correlation limits, and non-inferiority quality gates for prefix cache tuning. LLMOps Observability LLMOps observability tool comparison — Langfuse·LangSmith·Helicone·CloudWatch selection criteria and hybrid architecture (for Langfuse operations, see Agent Monitoring) Kagent Agent Management Declarative AI agent management architecture and orchestration patterns in Kubernetes using Kagent