Agent Observability: How to Monitor and Evaluate LLM Agents in Production
Agents differ from traditional software due to their infinite input space, non-deterministic behavior, and reliance on large language models, requiring specialized monitoring capabilities. Production traces must be captured and analyzed to assess agent performance, as natural language interactions are complex and require human judgment at scale. Tools like Insights Agent and LangSmith support observability by enabling structured evaluation, continuous monitoring, and feedback loops for agent interactions.
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