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agent-framework/dotnet/samples/GettingStarted/Orchestration/ConcurrentOrchestration_Intro.cs
T
Stephen Toub 456e7d1b65 Round 2 of cleanup for agent runtime and orchestrations (#164)
- Moved InProcessRuntime type into abstractions package and deleted InProcess package.
- Moved several members of IAgentRuntime to be extension methods instead, e.g. multiple GetActorAsync overloads.
- Added synchronous RegisterMessageHandler overloads and used them to avoid unnecessary async usage at call sites.
- Removed unnecessary surface area from InProcessRuntime, e.g. StopAsync, RunUntilIdleAsync, etc.
- Fixed spin loop in InProcessRuntime that would consume an entire core for the duration of the orchestration's operation.
- Removed a bunch of allocation from InProcessRuntime.
- Made a runtime optional for orchestrations, defaulting to using a temporary InProcessRuntime if none is provided.
- Removed custom delegate types from orchestrations.
- Consolidated namespaces.
- Used records to simplify message classes.
- Tweaked naming on AgentActor to make purpose of protected methods more clear.
- Removed invocation in AgentActor.InvokeAsync of empty update / isFinal parameter.
- Changed OrchestrationHandoffs to avoid needing to pass in agents duplicatively.
- Made various extension methods, such as those on OrchestrationHandoffsExtensions, into instance methods.
2025-07-11 11:12:18 -04:00

54 lines
2.1 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($"\n# INPUT: {input}\n");
OrchestrationResult<string[]> result = await orchestration.InvokeAsync(input);
string[] output = await result;
Console.WriteLine($"\n# RESULT:\n{string.Join("\n\n", output.Select(text => $"{text}"))}");
this.DisplayHistory(monitor.History);
}
}