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