135 lines
4.9 KiB
C#
135 lines
4.9 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.Agents;
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using Microsoft.SemanticKernel.Agents.Chat;
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using Microsoft.SemanticKernel.Agents.OpenAI;
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using Microsoft.SemanticKernel.ChatCompletion;
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using OpenAI.Assistants;
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namespace Agents;
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/// <summary>
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/// Demonstrate the serialization of <see cref="AgentGroupChat"/> with a <see cref="ChatCompletionAgent"/>
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/// and an <see cref="OpenAIAssistantAgent"/>.
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/// </summary>
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public class MixedChat_Serialization(ITestOutputHelper output) : BaseAssistantTest(output)
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{
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private const string TranslatorName = "Translator";
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private const string TranslatorInstructions =
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"""
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Spell the last number in chat as a word in english and spanish on a single line without any line breaks.
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""";
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private const string CounterName = "Counter";
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private const string CounterInstructions =
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"""
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Increment the last number from your most recent response.
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Never repeat the same number.
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Only respond with a single number that is the result of your calculation without explanation.
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""";
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[Theory]
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[InlineData(true)]
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[InlineData(false)]
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public async Task SerializeAndRestoreAgentGroupChat(bool useChatClient)
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{
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// Define the agents: one of each type
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ChatCompletionAgent agentTranslator =
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new()
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{
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Instructions = TranslatorInstructions,
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Name = TranslatorName,
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Kernel = this.CreateKernelWithChatCompletion(useChatClient, out var chatClient),
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};
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// Define the assistant
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Assistant assistant =
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await this.AssistantClient.CreateAssistantAsync(
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this.Model,
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name: CounterName,
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instructions: CounterInstructions,
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metadata: SampleMetadata);
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// Create the agent
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OpenAIAssistantAgent agentCounter = new(assistant, this.AssistantClient);
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AgentGroupChat chat = CreateGroupChat();
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// Invoke chat and display messages.
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ChatMessageContent input = new(AuthorRole.User, "1");
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chat.AddChatMessage(input);
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this.WriteAgentChatMessage(input);
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Console.WriteLine("============= Dynamic Agent Chat - Primary (prior to serialization) ==============");
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await InvokeAgents(chat);
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AgentGroupChat copy = CreateGroupChat();
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Console.WriteLine("\n=========== Serialize and restore the Agent Chat into a new instance ============");
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await CloneChatAsync(chat, copy);
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Console.WriteLine("\n============ Continue with the dynamic Agent Chat (after deserialization) ===============");
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await InvokeAgents(copy);
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Console.WriteLine("\n============ The entire Agent Chat (includes messages prior to serialization and those after deserialization) ==============");
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await foreach (ChatMessageContent content in copy.GetChatMessagesAsync())
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{
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this.WriteAgentChatMessage(content);
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}
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chatClient?.Dispose();
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async Task InvokeAgents(AgentGroupChat chat)
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{
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await foreach (ChatMessageContent content in chat.InvokeAsync())
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{
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this.WriteAgentChatMessage(content);
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}
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}
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async Task CloneChatAsync(AgentGroupChat source, AgentGroupChat clone)
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{
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await using MemoryStream stream = new();
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await AgentChatSerializer.SerializeAsync(source, stream);
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stream.Position = 0;
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using StreamReader reader = new(stream);
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Console.WriteLine(await reader.ReadToEndAsync());
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stream.Position = 0;
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AgentChatSerializer serializer = await AgentChatSerializer.DeserializeAsync(stream);
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await serializer.DeserializeAsync(clone);
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}
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AgentGroupChat CreateGroupChat() =>
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new(agentTranslator, agentCounter)
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{
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ExecutionSettings =
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new()
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{
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TerminationStrategy =
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new CountingTerminationStrategy(5)
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{
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// Only the art-director may approve.
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Agents = [agentTranslator],
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// Limit total number of turns
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MaximumIterations = 20,
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}
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}
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};
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}
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private sealed class CountingTerminationStrategy(int maxTurns) : TerminationStrategy
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{
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private int _count = 0;
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protected override Task<bool> ShouldAgentTerminateAsync(Agent agent, IReadOnlyList<ChatMessageContent> history, CancellationToken cancellationToken)
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{
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++this._count;
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bool shouldTerminate = this._count >= maxTurns;
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return Task.FromResult(shouldTerminate);
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}
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}
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}
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