Combining Agents’ Orchestration With Human Control for Automatic Planning in Distributed Systems
Modern distributed information systems increasingly require sophisticated automation appro- aches for task planning, resource allocation, and execution management. While AI agents based on large language models (LLMs) demonstrate significant potential for solving complex distributed computing tasks, fully autonomous solutions present substantial risks without proper human oversight and control mechanisms.