About This Architecture

Supervised multi-agent orchestration architecture routes user requests through an API Gateway to a Supervisor Agent coordinating five specialized agents. The Supervisor Agent delegates tasks to Agent 1 through Agent 5 based on request context, enabling parallel processing and domain-specific expertise. Each agent processes its assigned subtask independently and forwards results to the Output Handler, which aggregates responses before returning to the user. This pattern demonstrates hierarchical control in agentic systems, allowing teams to scale AI applications with clear separation of concerns and centralized coordination. Fork this diagram on Diagrams.so to customize agent roles, add feedback loops, or integrate with LangChain and AutoGen frameworks.

People also ask

How do you design a supervised multi-agent system with centralized orchestration?

A supervised multi-agent architecture uses a Supervisor Agent to coordinate multiple specialized agents. User requests flow through an API Gateway to the supervisor, which delegates subtasks to agents running in parallel. An Output Handler aggregates results before returning responses.