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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 loginfor authentication