顺序编排

定义你的代理

代理是按顺序处理任务的专用实体。 在这里，我们定义了三个代理：分析师、复制作者和编辑器。

using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Agents;
using Microsoft.SemanticKernel.Agents.Orchestration;
using Microsoft.SemanticKernel.Agents.Orchestration.Sequential;
using Microsoft.SemanticKernel.Agents.Runtime.InProcess;

// Create a kernel with an AI service
Kernel kernel = ...;

ChatCompletionAgent analystAgent = new ChatCompletionAgent {
    Name = "Analyst",
    Instructions = "You are a marketing analyst. Given a product description, identify:\n- Key features\n- Target audience\n- Unique selling points",
    Kernel = kernel,
};

ChatCompletionAgent writerAgent = new ChatCompletionAgent {
    Name = "Copywriter",
    Instructions = "You are a marketing copywriter. Given a block of text describing features, audience, and USPs, compose a compelling marketing copy (like a newsletter section) that highlights these points. Output should be short (around 150 words), output just the copy as a single text block.",
    Kernel = kernel,
};

ChatCompletionAgent editorAgent = new ChatCompletionAgent {
    Name = "Editor",
    Instructions = "You are an editor. Given the draft copy, correct grammar, improve clarity, ensure consistent tone, give format and make it polished. Output the final improved copy as a single text block.",
    Kernel = kernel,
};

可选：观察代理响应

可以创建一个回调，以在序列通过 ResponseCallback 属性进行时捕获代理响应。

ChatHistory history = [];

ValueTask responseCallback(ChatMessageContent response)
{
    history.Add(response);
    return ValueTask.CompletedTask;
}

设置顺序编排

创建一个 SequentialOrchestration 对象，提供代理以及可选的响应回调函数。

SequentialOrchestration orchestration = new(analystAgent, writerAgent, editorAgent)
{
    ResponseCallback = responseCallback,
};

启动运行时

需要运行时才能管理代理的执行。 在这里，我们在调用业务流程之前使用 InProcessRuntime 并启动它。

InProcessRuntime runtime = new InProcessRuntime();
await runtime.StartAsync();

调用编排

使用您的初始任务（例如产品说明）来启动编排。 输出将按顺序流经每个代理。

var result = await orchestration.InvokeAsync(
    "An eco-friendly stainless steel water bottle that keeps drinks cold for 24 hours",
    runtime);

收集结果

等待编排完成并获取最终输出。

string output = await result.GetValueAsync(TimeSpan.FromSeconds(20));
Console.WriteLine($"\n# RESULT: {text}");
Console.WriteLine("\n\nORCHESTRATION HISTORY");
foreach (ChatMessageContent message in history)
{
    this.WriteAgentChatMessage(message);
}

可选：停止运行时

处理完成后，停止运行时以清理资源。

await runtime.RunUntilIdleAsync();

示例输出

# RESULT: Introducing our Eco-Friendly Stainless Steel Water Bottles – the perfect companion for those who care about the planet while staying hydrated! Our bottles ...


ORCHESTRATION HISTORY

# Assistant - Analyst: **Key Features:**
- Made from eco-friendly stainless steel
- Insulation technology that maintains cold temperatures for up to 24 hours
- Reusable and sustainable design
- Various sizes and colors available (assumed based on typical offerings)
- Leak-proof cap
- BPA-free ...

# Assistant - copywriter: Introducing our Eco-Friendly Stainless ...

# Assistant - editor: Introducing our Eco-Friendly Stainless Steel Water Bottles – the perfect companion for those who care about the planet while staying hydrated! Our bottles ...

定义你的代理

序列中的每个代理都有特定的责任。 在此示例中，我们有：

• ConceptExtractorAgent：从产品说明中提取关键功能、目标受众和独特的销售点。
• WriterAgent：根据提取的信息撰写营销文案。
• FormatProofAgent：编辑和优化草稿副本，以便清晰和一致性。

from semantic_kernel.agents import Agent, ChatCompletionAgent
from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion

def get_agents() -> list[Agent]:
    concept_extractor_agent = ChatCompletionAgent(
        name="ConceptExtractorAgent",
        instructions=(
            "You are a marketing analyst. Given a product description, identify:\n"
            "- Key features\n"
            "- Target audience\n"
            "- Unique selling points\n\n"
        ),
        service=AzureChatCompletion(),
    )
    writer_agent = ChatCompletionAgent(
        name="WriterAgent",
        instructions=(
            "You are a marketing copywriter. Given a block of text describing features, audience, and USPs, "
            "compose a compelling marketing copy (like a newsletter section) that highlights these points. "
            "Output should be short (around 150 words), output just the copy as a single text block."
        ),
        service=AzureChatCompletion(),
    )
    format_proof_agent = ChatCompletionAgent(
        name="FormatProofAgent",
        instructions=(
            "You are an editor. Given the draft copy, correct grammar, improve clarity, ensure consistent tone, "
            "give format and make it polished. Output the final improved copy as a single text block."
        ),
        service=AzureChatCompletion(),
    )
    return [concept_extractor_agent, writer_agent, format_proof_agent]

可选：观察代理响应

可以定义一个回调函数，以便在序列进行时观察每个代理，并打印输出。

from semantic_kernel.contents import ChatMessageContent

def agent_response_callback(message: ChatMessageContent) -> None:
    print(f"# {message.name}\n{message.content}")

设置顺序编排

SequentialOrchestration 对象，用于传入代理和可选的响应回调。

from semantic_kernel.agents import SequentialOrchestration

agents = get_agents()
sequential_orchestration = SequentialOrchestration(
    members=agents,
    agent_response_callback=agent_response_callback,
)

启动运行时

启动运行时以管理代理执行。

from semantic_kernel.agents.runtime import InProcessRuntime

runtime = InProcessRuntime()
runtime.start()

调用编排

使用您的初始任务（例如产品说明）来启动编排。 输出将按顺序流经每个代理。

orchestration_result = await sequential_orchestration.invoke(
    task="An eco-friendly stainless steel water bottle that keeps drinks cold for 24 hours",
    runtime=runtime,
)

收集结果

等待编排完成。

value = await orchestration_result.get(timeout=20)
print(f"***** Final Result *****\n{value}")

可选：停止运行时

处理完成后，停止运行时以清理资源。

await runtime.stop_when_idle()

示例输出

# ConceptExtractorAgent
- Key Features:
- Made of eco-friendly stainless steel
- Keeps drinks cold for 24 hours
...
# WriterAgent
Keep your beverages refreshingly chilled all day long with our eco-friendly stainless steel bottles...
# FormatProofAgent
Keep your beverages refreshingly chilled all day long with our eco-friendly stainless steel bottles...
***** Final Result *****
Keep your beverages refreshingly chilled all day long with our eco-friendly stainless steel bottles...