Multi-Agent Orchestration Patterns

A single AI agent hits a ceiling quickly. As soon as teams add more agents, systems become harder to reason about, harder to test, and much harder to debug. This hands-on workshop teaches the orchestration patterns that actually hold up in production: sequential pipelines, parallel fan-out, supervisor-worker systems, and council-style decision making. Participants will learn how to choose the right topology, design reliable handoffs between agents, prevent context rot, and debug failure modes using traces, logs, and explicit schema contracts. The session is framework-agnostic, but the hands-on exercises are designed to be easy to run and follow, with a lightweight setup and practical examples that attendees can adapt to their own systems.

Prerequisites

Participants should have basic familiarity with LLM APIs and agent concepts such as tool calling and context windows. They should bring a laptop with Git and Node.js (or python) installed, and be prepared to configure an agent API key during the preparation phase before the workshop. No specific framework experience is required, and the workshop setup is designed to be as lightweight and easy to follow as possible for attendees.

Key takeaways

    
Participants will leave with a practical framework for choosing the right multi-agent architecture, designing reliable agent handoffs, and debugging the failure modes that make multi-agent systems break in production