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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
```bash
python main.py
```
## Requirements
- Azure OpenAI endpoint configured
- `az login` for authentication