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

Agentic AI application monitoring architecture, key metric design, and alerting strategy overview

📄️ LLMOps Observability

Langfuse, LangSmith, Helicone comparison and hybrid Observability architecture overview

📄️ Kagent Agent Management

Declarative AI agent management architecture and orchestration patterns in Kubernetes using Kagent