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# Deep Research Workflow Sample
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Multi-agent workflow implementing the "Magentic" orchestration pattern from AutoGen.
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## Overview
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Coordinates specialized agents for complex research tasks:
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**Orchestration Agents:**
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- **ResearchAgent** - Analyzes tasks and correlates relevant facts
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- **PlannerAgent** - Devises execution plans
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- **ManagerAgent** - Evaluates status and delegates tasks
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- **SummaryAgent** - Synthesizes final responses
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**Capability Agents:**
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- **KnowledgeAgent** - Performs web searches
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- **CoderAgent** - Writes and executes code
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- **WeatherAgent** - Provides weather information
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## Files
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- `main.py` - Agent definitions and workflow execution (programmatic workflow)
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## Running
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```bash
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python main.py
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```
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## Requirements
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- Azure OpenAI endpoint configured
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- `az login` for authentication
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