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Deep Research Workflow Sample

Multi-agent workflow implementing the "Magentic" orchestration pattern from AutoGen.

Overview

Coordinates specialized agents for complex research tasks:

Orchestration Agents:

  • ResearchAgent - Analyzes tasks and correlates relevant facts
  • PlannerAgent - Devises execution plans
  • ManagerAgent - Evaluates status and delegates tasks
  • SummaryAgent - Synthesizes final responses

Capability Agents:

  • KnowledgeAgent - Performs web searches
  • CoderAgent - Writes and executes code
  • WeatherAgent - Provides weather information

Files

  • main.py - Agent definitions and workflow execution (programmatic workflow)

Running

python main.py

Requirements

  • Azure OpenAI endpoint configured
  • az login for authentication