Orchestrator-Worker Pattern

Orchestrator-Worker Pattern is a distributed AI agent architecture where a central orchestrator agent coordinates and manages multiple specialized worker agents to complete complex tasks. The orchestrator handles task decomposition, work distribution, progress monitoring, error handling, and result aggregation, while worker agents focus on executing specific subtasks within their areas of expertise. This pattern enables horizontal scaling, fault tolerance, and specialization by allowing different workers to handle distinct capabilities like data processing, external API calls, or domain-specific reasoning. The orchestrator maintains overall workflow state and ensures proper sequencing and dependencies between worker outputs, making it ideal for large-scale automation scenarios requiring multiple specialized AI capabilities.