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DZone

Observability for Agents and Workflows: Tracing Prompts, Tool Calls, and Business Outcomes End-to-End

AI agents have come a long way. They aren’t just answering simple questions, but they’re handling order checks, summarizing support tickets, updating records, routing incidents, approving requests, and even calling internal tools. As these agents slip deeper into real business workflows, just peeking at model logs isn’t enough. Teams need to see everything: what the agent did, why it did it, which systems it poked, and whether the end result actually helped the business. Agent Observability That

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