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Magentic Orchestration Sample

This sample showcases the Magentic Orchestration Pattern in .NET, setting up a team with 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

  • FOUNDRY_PROJECT_ENDPOINT set to your Azure AI Foundry project endpoint
  • FOUNDRY_MODEL 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

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