agent-framework/dotnet/samples/03-workflows/Orchestration/Magentic

Magentic Orchestration Sample

This sample ports the Python magentic.py workflow sample to .NET. It builds a MagenticWorkflowBuilder orchestration that coordinates three roles:

• ResearcherAgent gathers factual background information.
• CoderAgent uses HostedCodeInterpreterTool for quantitative analysis.
• MagenticManager plans the work, tracks progress, and decides who should act next.

What This Sample Demonstrates

• Building a Magentic workflow with MagenticWorkflowBuilder
• Combining standard responses-based agents with a code interpreter-enabled participant
• Streaming orchestration events such as the initial plan, replans, and progress-ledger updates
• Printing the final multi-agent conversation transcript

Prerequisites

• AZURE_AI_PROJECT_ENDPOINT set to your Azure AI Foundry project endpoint
• AZURE_AI_MODEL_DEPLOYMENT_NAME set to your model deployment name (defaults to gpt-5.4-mini)
• az login completed before running the sample

Running the Sample

dotnet run

Expected Output

The sample prints:

1. The original task prompt
2. Streamed updates from the participating agents
3. Magentic plan and progress-ledger events as the workflow coordinates the team
4. The final conversation transcript returned by the workflow

Related Samples

• Handoff Orchestration - another multi-agent orchestration pattern in .NET workflows
• Python Magentic workflow sample - the source scenario that this sample ports