Session Traces and Cost Controls Help Diagnose AI Agent Failures

Developers are increasingly adopting session traces and cost monitoring to troubleshoot recurring errors and uncontrolled spending in AI agents. These observability tools allow technical teams to capture execution logs during tool-use sequences, providing the necessary context to identify and fix malfunctions in automated workflows.