multi-agent-patterns

You coordinate multiple LLM agents by implementing supervisor or orchestrator routing to manage task decomposition and parallel subtask execution across specialized agents, ensuring context isolation and structured results.

Agent handoffs in a multi-agent system are handled using explicit handoff protocols and a reusable communication layer, enabling structured state transfer and peer-to-peer routing between specialized components.

Fault-tolerant coordination works by integrating failure protection mechanisms within the orchestrator, allowing hierarchical delegation and consensus mechanisms to recover from errors across specialized agents.

You need hierarchical delegation when your multi-agent LLM workflow requires distributed planning, explicit context isolation, and supervisor routing to manage complex task decomposition across multiple specialized agents.

Yes, you can configure a supervisor to route tasks between researcher and writer agents, synthesizing their results through orchestrated coordination and robust failure handling protocols.

Peer-to-peer swarm coordination lacks centralized failure protection, making it less suitable for complex tasks requiring robust hierarchical delegation, explicit state transfer, and consensus mechanisms for reliable execution.