An internal assistant uses a supervisor agent coordinating three specialist subagents: billing, technical support, and account management. In this…

In a multi-agent supervisor or orchestrator-workers architecture, the supervisor agent acts as the central cognitive coordinator. Its primary responsibility is to analyze the incoming request, decompose it into manageable sub-tasks, route those tasks to the appropriate specialist subagents (workers), and then aggregate or synthesize their outputs into a cohesive final response. This pattern leverages the specialized capabilities and distinct system prompts of individual agents while maintaining a single point of entry and control, ensuring complex tasks spanning multiple domains are handled efficiently.

A. If the supervisor executes tasks itself, it defeats the purpose of having specialist subagents, leading to a monolithic and less capable system.

C. Caching is a system-level optimization typically handled by the application backend or orchestration framework, not the primary cognitive responsibility of a supervisor agent.

D. LLM agents do not retrain models at runtime; model retraining or fine-tuning is an offline machine learning engineering process.

1. Anthropic, "Building effective agents" (2024), Section: "Pattern: Orchestrator-workers".

2. Anthropic Documentation, "Multi-agent architectures", Section: Routing and Delegation.