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Chapter 5: Multi-Agent AI Solutions

📚 Course: AZD For Beginners | ⏱️ Duration: 2-3 hours | ⭐ Complexity: Advanced


Overview

This chapter covers advanced multi-agent architecture patterns, agent orchestration, and production-ready AI deployments for complex scenarios.

Validated against azd 1.23.12 in March 2026.

Learning Objectives

By completing this chapter, you will:

  • Understand multi-agent architecture patterns
  • Deploy coordinated AI agent systems
  • Implement agent-to-agent communication
  • Build production-ready multi-agent solutions

📚 Lessons

# Lesson Description Time
1 Retail Multi-Agent Solution Complete implementation walkthrough 90 min
2 Coordination Patterns Agent orchestration strategies 30 min
3 ARM Template Deployment One-click deployment 30 min

🚀 Quick Start

# Option 1: Deploy from a template
azd init --template agent-openai-python-prompty
azd up

# Option 2: Deploy from an agent manifest (requires azure.ai.agents extension)
azd extension install azure.ai.agents
azd ai agent init -m agent-manifest.yaml
azd up

Which approach? Use azd init --template to start from a working sample. Use azd ai agent init when you have your own agent manifest. See the AZD AI CLI reference for full details.


🤖 Multi-Agent Architecture

graph TD
    Orchestrator[Orchestrator Agent<br/>Routes requests, manages workflow] --> Customer[Customer Agent<br/>User queries, preferences]
    Orchestrator --> Inventory[Inventory Agent<br/>Stock levels, orders]
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🎯 Featured Solution: Retail Multi-Agent

The Retail Multi-Agent Solution demonstrates:

  • Customer Agent: Handles user interactions and preferences
  • Inventory Agent: Manages stock and order processing
  • Orchestrator: Coordinates between agents
  • Shared Memory: Cross-agent context management

Services Used

Service Purpose
Microsoft Foundry Models Language understanding
Azure AI Search Product catalog
Cosmos DB Agent state and memory
Container Apps Agent hosting
Application Insights Monitoring

🔗 Navigation

Direction Chapter
Previous Chapter 4: Infrastructure
Next Chapter 6: Pre-Deployment

📖 Related Resources