In this video, we break down the Supervisor pattern used in modern multi-agent architectures and show a live LangSmith simulation of how a Supervisor coordinates agents, routes tasks, and keeps complex workflows organized and efficient.
🔹 What’s Covered
1️⃣ What a Supervisor is in multi-agent systems
2️⃣ Why Supervisors are preferred over direct agent-to-agent communication
3️⃣ How task routing and decision-making work
4️⃣ How LangGraph + LangChain enable structured multi-agent orchestration
5️⃣ Live demo of a Supervisor in action using LangSmith
This walkthrough shows how the Supervisor pattern simplifies coordination, control, and scalability in agentic systems while providing full observability during execution.
👉 Ideal for:
AI Workflow Builders
Multi-Agent System Designers
LLM Application Engineers
Agentic AI & Orchestration Enthusiasts
Enterprise Automation Teams
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