mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
Stephen Toub
456e7d1b65
- 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.
74 lines
3.2 KiB
C#
74 lines
3.2 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="SequentialOrchestration"/> for
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/// executing multiple agents in sequence, i.e.the output of one agent is
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/// the input to the next agent.
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/// </summary>
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public class SequentialOrchestration_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 analystAgent =
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this.CreateAgent(
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name: "Analyst",
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instructions:
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"""
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You are a marketing analyst. Given a product description, identify:
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- Key features
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- Target audience
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- Unique selling points
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""",
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description: "A agent that extracts key concepts from a product description.");
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ChatClientAgent writerAgent =
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this.CreateAgent(
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name: "copywriter",
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instructions:
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"""
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You are a marketing copywriter. Given a block of text describing features, audience, and USPs,
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compose a compelling marketing copy (like a newsletter section) that highlights these points.
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Output should be short (around 150 words), output just the copy as a single text block.
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""",
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description: "An agent that writes a marketing copy based on the extracted concepts.");
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ChatClientAgent editorAgent =
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this.CreateAgent(
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name: "editor",
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instructions:
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"""
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You are an editor. Given the draft copy, correct grammar, improve clarity, ensure consistent tone,
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give format and make it polished. Output the final improved copy as a single text block.
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""",
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description: "An agent that formats and proofreads the marketing copy.");
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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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SequentialOrchestration orchestration =
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new(analystAgent, writerAgent, editorAgent)
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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 = "An eco-friendly stainless steel water bottle that keeps drinks cold for 24 hours";
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Console.WriteLine($"\n# INPUT: {input}\n");
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OrchestrationResult<string> result = await orchestration.InvokeAsync(input);
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Console.WriteLine($"\n# RESULT: {await result}");
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this.DisplayHistory(monitor.History);
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}
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}
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