Cline で作った Devin 風ワークフローを Microsoft Agent Framework で再構築する② - 実装編

winget install Microsoft.DotNet.SDK.10

sudo apt update
sudo apt install -y dotnet-sdk-10.0

dotnet --version

dotnet new console

PS D:\MAMP\htdocs\agent-framework\c-sharp-test> dotnet run
Hello C#!

{
    "version": "0.2.0",
    "configurations": [
        {
            "name": "C# Debug",
            "type": "dotnet",
            "request": "launch",
            "projectPath": "${workspaceFolder}/c-sharp-test.csproj",
        }
    ]
}

{
    "version": "0.2.0",
    "configurations": [
        {
            "name": "C# Debug (coreclr)",
            "type": "coreclr",
            "request": "launch",
            "preLaunchTask": "build",
            "program": "${workspaceFolder}/bin/Debug/net10.0/${workspaceFolderBasename}.dll",
            "cwd": "${workspaceFolder}",
            "console": "integratedTerminal"
        }
    ]
}

            "args": ["--mode", "debug", "--count", "10"],
            "env": {
                "APP_ENV": "development",
                "LOG_LEVEL": "debug"
            }

{
    "version": "2.0.0",
    "tasks": [
        {
            "label": "build",
            "command": "dotnet",
            "type": "process",
            "args": [
                "build",
                "${workspaceFolder}/${workspaceFolderBasename}.csproj",
                "/property:GenerateFullPaths=true",
                "/consoleloggerparameters:NoSummary"
            ],
            "problemMatcher": "$msCompile",
            "group": {
                "kind": "build",
                "isDefault": true
            }
        }
    ]
}

{
    "version": "0.2.0",
    "configurations": [
        {
            "name": "C# Debug Active File",
            "type": "dotnet",
            "request": "launch",
            "projectPath": "${file}"
        }
    ]
}

dotnet run --file app.cs

kanban/
└── c-sharp/
   └── agent-framework/

cd kanban\c-sharp\agent-framework
dotnet new console
dotnet add package Microsoft.Agents.AI.Foundry --prerelease

kanban/
└── c-sharp/
   └── agent-framework/
      ├── bin/
      ├── obj/
      ├── agent-framework.csproj
      └── Program.cs

obj
bin

    {
        "name": "C# Debug (coreclr)",
        "type": "coreclr",
        "request": "launch",
        "preLaunchTask": "build",
        "program": "${workspaceFolder}/kanban/c-sharp/agent-framework/bin/Debug/net10.0/agent-framework.dll",
        "cwd": "${workspaceFolder}/kanban/c-sharp/agent-framework",
        "console": "integratedTerminal"
    },
    {
        "name": "C# Debug Active File",
        "type": "dotnet",
        "request": "launch",
        "projectPath": "${file}"
    },

{
    "version": "2.0.0",
    "tasks": [
        {
            "label": "build",
            "command": "dotnet",
            "type": "process",
            "args": [
                "build",
                "${workspaceFolder}/kanban/c-sharp/agent-framework/agent-framework.csproj",
                "/property:GenerateFullPaths=true",
                "/consoleloggerparameters:NoSummary"
            ],
            "problemMatcher": "$msCompile",
            "group": {
                "kind": "build",
                "isDefault": true
            }
        }
    ]
}

dotnet new console
dotnet add package Microsoft.Agents.AI.Foundry --prerelease

ollama pull gpt-oss:20b

dotnet add package Microsoft.Agents.AI.Workflows --prerelease
dotnet add package Microsoft.Extensions.AI
dotnet add package OllamaSharp

using System.ComponentModel;
using System.Text;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.Workflows;
using Microsoft.Extensions.AI;
using OllamaSharp;

Console.OutputEncoding = Encoding.UTF8;

IChatClient chatClient = ChatClientBuilderChatClientExtensions
    .AsBuilder((IChatClient)new OllamaApiClient(
        new Uri("http://localhost:11434"),
        "gpt-oss:20b"
    ))
    .UseFunctionInvocation()
    .Build();

[Description("現在の日時を取得します。")]
static string GetCurrentTime()
{
    return DateTimeOffset.Now
        .ToString("yyyy-MM-dd HH:mm:ss zzz");
}

AIFunction getCurrentTimeTool =
    AIFunctionFactory.Create(GetCurrentTime);

AIAgent timeAgent = chatClient.AsAIAgent(
    name: "TimeAgent",
    instructions:
    """
    あなたは現在時刻を回答するエージェントです。
    ユーザーから現在日時・現在時刻について質問された場合は、
    必ず GetCurrentTime ツールを使用してください。
    ツールから取得した結果を、日本語で簡潔に回答してください。
    """,
    tools:
    [
        getCurrentTimeTool
    ]
);

AIAgent reviewerAgent = chatClient.AsAIAgent(
    name: "ReviewerAgent",
    instructions:
    """
    あなたは回答内容を確認する Reviewer です。
    前段の Agent の回答を確認し、
    現在時刻に対する回答として分かりやすければ、
    その内容をそのまま最終回答として返してください。
    問題がある場合は、その理由も簡潔に説明してください。
    """
);

var workflow = new WorkflowBuilder(timeAgent)
    .AddEdge(timeAgent, reviewerAgent)
    .WithOutputFrom(reviewerAgent)
    .Build();

await using StreamingRun run =
    await InProcessExecution.RunStreamingAsync(
        workflow,
        "現在の時間を教えてください。"
    );

await run.TrySendMessageAsync(new TurnToken(emitEvents: true));

await foreach (WorkflowEvent evt in run.WatchStreamAsync())
{
    if (evt is AgentResponseUpdateEvent update)
    {
        Console.Write(update.Update);
    }
};

using System.ComponentModel;
using System.Text;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using OllamaSharp;

Console.OutputEncoding = Encoding.UTF8;

var chatClient = new OllamaApiClient(
    new Uri("http://localhost:11434"),
    "gpt-oss:20b"
);

[Description("現在の日時を取得します。")]
static string GetCurrentTime()
{
    return DateTimeOffset.Now
        .ToString("yyyy-MM-dd HH:mm:ss zzz");
}

var agent = chatClient.AsAIAgent(
    instructions: """
    あなたは日時に関する質問に答えるアシスタントです。
    現在時刻が必要な場合は必ず GetCurrentTime ツールを使用してください。
    """,
    name: "TimeAgent",
    tools:
    [
        AIFunctionFactory.Create(GetCurrentTime)
    ]
);

var result = await agent.RunAsync(
    "現在の時刻を教えてください。"
);

Console.WriteLine(result);