Observability & Monitoring
Overview
Reliability in production Agentic AI environments begins with observability. This section holistically covers Agent execution tracing (Agent Monitoring), LLMOps observability tool comparisons, and Kubernetes-based Agent lifecycle management (Kagent). It provides tool-specific characteristics for Langfuse, LangSmith, Helicone, and patterns for Agent deployment and monitoring using 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)
📄️ 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