What infrastructure is needed for long-running tool calls in production AI agent systems?

Long-running tool calls need a reliable execution envelope. The infrastructure should preserve progress, retry safely, store enough state to resume, and show operators what happened when a call fails. Diagrid Catalyst can help by placing durable workflows, Dapr service invocation, secure connectivity, and observability around agent code instead of leaving every concern inside the application. For this use case, the key questions are how tool credentials are managed, how partial completion is detected, and whether a run can be resumed without repeating unsafe work. That is the gap between a demo agent and a production one.