Skip to main content
SKILL-MACHINE-LEARNING-MODEL-DEVELOPMENT18 MIN READ

Design an AutoGen Multi-Agent Workflow for Supply Chain Optimization

Configure and validate a multi-agent AutoGen system by assigning roles, defining agent interactions, and sequencing tasks to solve a supply chain bottleneck

A supplier has 48 hours to optimize inventory allocation across 3 warehouses facing demand spikes. You must architect an AutoGen workflow. Select your primary coordination agent Use Commander agent for orchestration Commander validates task dependencies and manages workflow state Which secondary agents support the Commander? Use peer-to-peer agent communication (no Commander) Agents negotiate directly; coordination emerges from consensus How do you handle conflicting agent proposals? Your chosen workflow processes 10,000 SKUs. What AutoGen feature prevents agents from hallucinating invalid warehouse locations? Function calling with Safeguard validation + predefined warehouse schema AutoGen agents use tool_choice to call functions. Combine with agent…

Read the full lesson

Sign up free — one personalized lesson every day, matched to your role and goals.

Already have an account? Sign in

← Back to library