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4.5. Multi-Agent Orchestration Patterns

💡 First Principle: Multi-agent systems need coordination patterns, just like human teams. Sequential (assembly line): each agent completes their work before passing to the next—use when order matters and steps don't need iteration. Hierarchical (manager delegates): a supervisor agent assigns tasks and synthesizes results—use when subtasks are independent. Collaborative (group discussion): agents debate and refine together—use when quality improves through iteration. The exam tests whether you can match the task structure to the right orchestration pattern.

Orchestration Patterns

PatternDescriptionUse Case
SequentialAgents execute in fixed orderPipeline workflows
HierarchicalManager delegates to specialized workersComplex planning
CollaborativeAgents discuss and reach consensusResearch, analysis
CompetitiveAgents propose solutions, best winsCreative tasks

The following diagram shows a hierarchical multi-agent pattern:

Framework Selection Decision Tree

Use this decision tree to select the appropriate agent framework:

Framework Comparison

CapabilityAzure OpenAI AssistantsSemantic KernelAutogen
Single agent
Built-in tools✅ code_interpreter, file_search❌ (use plugins)✅ code execution
Custom tools✅ function calling✅ plugins✅ function registration
Multi-agent⚠️ AgentGroupChat✅ Best support
Planners
Memory/Context✅ threads✅ built-in⚠️ manual
Azure-native⚠️
Enterprise-ready⚠️

When to Use Each Framework

ScenarioRecommended Framework
Simple chatbot with tool useAzure OpenAI Assistants
Enterprise app with Azure integrationSemantic Kernel
Complex multi-agent collaborationAutogen
Research/coding tasksAutogen (code execution)
Customer-facing applicationsSemantic Kernel or Assistants
Alvin Varughese
Written byAlvin Varughese
Founder15 professional certifications