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.

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

Prerequisites

Please, follow the instructions on the git repo README:

API keys will be shared by the speaker at the workshop, if needed.