Multi-Agent Orchestration on Azure: Workflow Patterns with Agent Framework and Terraform đź§
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 t...
Source: DEV Community
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
