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3.2.1. Framework Selection

  • Concept: Frameworks provide scaffolding for multi-agent systems
  • Purpose: Simplify orchestration of multiple AI components
  • Benefit: Proven patterns for complex AI systems

For AI orchestration and multi-agent workflows: Use Semantic Kernel framework

Comparative Table: Framework Selection
FrameworkBest ForMulti-Agent Support
Semantic KernelAI orchestration, plugins✅ Full support
Azure Bot FrameworkConversational bots❌ Limited
Azure ML StudioML model development❌ Not designed for
Cognitive Services APIPre-built AI functions❌ No orchestration
# Semantic Kernel setup
import semantic_kernel as sk

kernel = sk.Kernel()

# Add plugins (tools)
kernel.add_plugin(CalendarPlugin(), plugin_name="calendar")
kernel.add_plugin(EmailPlugin(), plugin_name="email")
kernel.add_plugin(SearchPlugin(), plugin_name="search")

# Create agent with orchestration
agent = kernel.create_agent(
    model="gpt-4",
    plugins=["calendar", "email", "search"]
)