Agent Observability

Monitoring and tracing every step an AI agent takes—LLM calls, tool invocations, decisions, and outputs—to debug failures, measure performance, and ensure reliability. Observability platforms (LangSmith, Arize, Braintrust) log agent traces, track latency and cost per step, surface error patterns, and alert on quality regressions. Essential for production agents where you need to understand why an agent took a specific action.