Here, we explain the inner workings of handoffs in multi-agent systems using LangGraph Swarm. This show how specialized agents (like flight and hotel assistants) can seamlessly transfer control and context to each other. It breaks down the technical implementation of agent handoffs, explaining how agents become aware of each other through tools, how they're connected through a parent-child architecture, and how they share conversation context.
Video nodes:
https://mirror-feeling-d80.notion.site/Understanding-Multi-agent-Handoffs-1c0808527b17809ca43bf9ef4d11a471?pvs=4
Chapters:
0:00 - Introduction to Multi-agent Swarm Example
0:29 - Demonstrating Agent Handoffs
0:55 - Exploring Handoff Mechanisms in Depth
1:16 - Motivation from OpenAI Agents SDK
1:40 - Analyzing the Trace of Agent Handoffs
2:03 - Why Use Multi-agent Systems
2:35 - Core Questions in Multi-agent Design
3:00 - How Agents Become Aware of Each Other
3:34 - Tool-based Handoffs Implementation
4:06 - Parent-Child Architecture for Agent Connections
4:50 - State Compartmentalization Benefits
5:20 - How Agents Are Connected in Swarm
6:00 - Command Objects for Handoff Execution
6:47 - Understanding the Handoff Tool Implementation
7:30 - How Control Flow Works Between Agents
8:20 - How Agents Share Information
9:07 - Shared State Mechanism for Context Preservation
10:00 - Summary of Multi-agent Handoff Architecture
10:45 - Conclusion and Final Remarks