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Tao Chen 016daf3b98 Python: Fix samples (#4980 )

* First samples 1st batch

* Fix sample paths

* Fix workflow samples

* Fix workflow dependency

* Correct env vars

* Increase idle timeout

* Fix workflows HIL sample

* Fix more workflow samples

016daf3b98 · 2026-03-31 15:20:35 +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: Fix samples (#4980 )

2026-03-31 15:20:35 +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