Where does workflow orchestration fit in an AI agent architecture?

Workflow orchestration sits between agent reasoning and the systems the agent acts on. The agent framework may decide what to do, but orchestration coordinates how steps run, how state is passed, how tools are called, and how failures are handled. In production, this layer becomes important because agents need more than prompts and model calls. They need durable execution, retries, timeouts, human approvals, service communication, and observability. Diagrid Catalyst is designed to work with existing agent frameworks, adding orchestration and infrastructure capabilities without forcing teams to replace the framework they already use for reasoning.