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agent-framework/dotnet/samples/GettingStarted/Orchestration/ConcurrentOrchestration_Intro.cs
T

53 lines
2.0 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.Orchestration;
using Microsoft.Extensions.AI.Agents;
namespace Orchestration;
/// <summary>
/// Demonstrates how to use the <see cref="ConcurrentOrchestration"/>
/// for executing multiple agents on the same task in parallel.
/// </summary>
public class ConcurrentOrchestration_Intro(ITestOutputHelper output) : OrchestrationSample(output)
{
[Theory]
[InlineData(false)]
[InlineData(true)]
public async Task RunOrchestrationAsync(bool streamedResponse)
{
// Define the agents
ChatClientAgent physicist =
this.CreateAgent(
instructions: "You are an expert in physics. You answer questions from a physics perspective.",
description: "An expert in physics");
ChatClientAgent chemist =
this.CreateAgent(
instructions: "You are an expert in chemistry. You answer questions from a chemistry perspective.",
description: "An expert in chemistry");
// Create a monitor to capturing agent responses (via ResponseCallback)
// to display at the end of this sample. (optional)
// NOTE: Create your own callback to capture responses in your application or service.
OrchestrationMonitor monitor = new();
// Define the orchestration
ConcurrentOrchestration orchestration =
new(physicist, chemist)
{
LoggerFactory = this.LoggerFactory,
ResponseCallback = monitor.ResponseCallback,
StreamingResponseCallback = streamedResponse ? monitor.StreamingResultCallback : null,
};
// Run the orchestration
string input = "What is temperature?";
Console.WriteLine($"\n# INPUT: {input}\n");
AgentRunResponse result = await orchestration.RunAsync(input);
Console.WriteLine($"\n# RESULT:\n{string.Join("\n\n", result.Messages.Select(r => $"{r.Text}"))}");
this.DisplayHistory(monitor.History);
}
}