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Evan Mattson de612c47f5 Python: Add CreateConversationExecutor, fix input routing, remove unused handler layer (#4159) 
* Fixed declarative deep research sample

* Small fix

* Resolved comment

* Add CreateConversationExecutor, fix input routing, remove unused handler layer

* Address Copilot feedback

* Fix System.ConversationId

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Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com>
de612c47f5 ยท 2026-02-24 01:59:39 +00:00
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__init__.py
Python: restructure: Python samples into progressive 01-05 layout (#3862)
2026-02-12 17:36:36 +00:00
main.py
Python: Add CreateConversationExecutor, fix input routing, remove unused handler layer (#4159)
2026-02-24 01:59:39 +00:00
README.md
Python: restructure: Python samples into progressive 01-05 layout (#3862)
2026-02-12 17:36:36 +00:00

README.md

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
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