Multi-Agent Orchestration on Azure: Workflow Patterns with Agent Framework and Terraform 🧠

Single agents hit their limits on complex workflows. Microsoft Agent Framework gives you sequential, concurrent, handoff, and group chat orchestration patterns for multi-agent systems. Here's how to build them with Terraform provisioning the infrastructure. In the previous posts, we deployed a single Azure AI agent with function calling. That handles focused tasks. But real business processes span multiple domains: a customer onboarding flow needs compliance checking, document processing, account creation, and welcome messaging. One agent with all those responsibilities performs poorly. Microsoft Agent Framework is the open-source SDK (successor to Semantic Kernel and AutoGen) that provides orchestration patterns for multi-agent systems. You define specialized agents, then compose them into workflows - sequential pipelines, concurrent execution, handoff chains, and group chat patterns. Terraform provisions the Azure infrastructure; Python defines the agent team. 🎯 🏗️ Three Agent Type