autogen/dotnet/sample/AutoGen.BasicSamples/Example10_SemanticKernel.cs
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Co-authored-by: ekzhu <ekzhu@users.noreply.github.com>

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Co-authored-by: mhensen <mh@webvize.nl>
Co-authored-by: ekzhu <ekzhu@users.noreply.github.com>
Co-authored-by: Krzysztof Kasprowicz <60486987+Krzysztof318@users.noreply.github.com>
2024-04-26 16:21:46 +00:00

81 lines
3.2 KiB
C#

// Copyright (c) Microsoft Corporation. All rights reserved.
// Example10_SemanticKernel.cs
using System.ComponentModel;
using AutoGen.Core;
using AutoGen.SemanticKernel.Extension;
using FluentAssertions;
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.ChatCompletion;
using Microsoft.SemanticKernel.Connectors.OpenAI;
namespace AutoGen.BasicSample;
public class LightPlugin
{
public bool IsOn { get; set; } = false;
[KernelFunction]
[Description("Gets the state of the light.")]
public string GetState() => this.IsOn ? "on" : "off";
[KernelFunction]
[Description("Changes the state of the light.'")]
public string ChangeState(bool newState)
{
this.IsOn = newState;
var state = this.GetState();
// Print the state to the console
Console.ForegroundColor = ConsoleColor.DarkBlue;
Console.WriteLine($"[Light is now {state}]");
Console.ResetColor();
return state;
}
}
public class Example10_SemanticKernel
{
public static async Task RunAsync()
{
var openAIKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new Exception("Please set OPENAI_API_KEY environment variable.");
var modelId = "gpt-3.5-turbo";
var builder = Kernel.CreateBuilder()
.AddOpenAIChatCompletion(modelId: modelId, apiKey: openAIKey);
var kernel = builder.Build();
var settings = new OpenAIPromptExecutionSettings
{
ToolCallBehavior = ToolCallBehavior.AutoInvokeKernelFunctions,
};
kernel.Plugins.AddFromObject(new LightPlugin());
var skAgent = kernel
.ToSemanticKernelAgent(name: "assistant", systemMessage: "You control the light", settings);
// Send a message to the skAgent, the skAgent supports the following message types:
// - IMessage<ChatMessageContent>
// - (streaming) IMessage<StreamingChatMessageContent>
// You can create an IMessage<ChatMessageContent> using MessageEnvelope.Create
var chatMessageContent = MessageEnvelope.Create(new ChatMessageContent(AuthorRole.User, "Toggle the light"));
var reply = await skAgent.SendAsync(chatMessageContent);
reply.Should().BeOfType<MessageEnvelope<ChatMessageContent>>();
Console.WriteLine((reply as IMessage<ChatMessageContent>).Content.Items[0].As<TextContent>().Text);
var skAgentWithMiddleware = skAgent
.RegisterMessageConnector()
.RegisterPrintMessage();
// Now the skAgentWithMiddleware supports more IMessage types like TextMessage, ImageMessage or MultiModalMessage
// It also register a print format message hook to print the message in a human readable format to the console
await skAgent.SendAsync(chatMessageContent);
await skAgentWithMiddleware.SendAsync(new TextMessage(Role.User, "Toggle the light"));
// The more message type an agent support, the more flexible it is to be used in different scenarios
// For example, since the TextMessage is supported, the skAgentWithMiddleware can be used with user proxy.
var userProxy = new UserProxyAgent("user");
await skAgentWithMiddleware.InitiateChatAsync(userProxy, "how can I help you today");
}
}