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https://github.com/microsoft/agent-framework.git
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dac17a8f48
* Guidance * Guidance * WIP Migration Preps * Move to single file projects * Update guidance code and final adjustments to ensure all feature compatibility * Move from demos to samples * Address format * Address chat client pipeline order * Update project naming * Revisition on README * Remove unused ctor * Address feedback * Address feedback * Address merge conflict fix * Address SK versioning * Address folder naming * Address feedback
86 lines
3.3 KiB
C#
86 lines
3.3 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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using System.ComponentModel;
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using Azure.AI.Agents.Persistent;
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using Azure.Identity;
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using Microsoft.Extensions.AI;
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using Microsoft.Extensions.AI.Agents;
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.Agents.AzureAI;
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#pragma warning disable SKEXP0110 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
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var azureEndpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
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var deploymentName = System.Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o";
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var userInput = "What is the weather like in Amsterdam?";
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Console.WriteLine($"User Input: {userInput}");
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[KernelFunction]
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[Description("Get the weather for a given location.")]
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static string GetWeather([Description("The location to get the weather for.")] string location)
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=> $"The weather in {location} is cloudy with a high of 15°C.";
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await SKAgent();
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await AFAgent();
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async Task SKAgent()
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{
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Console.WriteLine("\n=== SK Agent ===\n");
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var azureAgentClient = AzureAIAgent.CreateAgentsClient(azureEndpoint, new AzureCliCredential());
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PersistentAgent definition = await azureAgentClient.Administration.CreateAgentAsync(deploymentName, instructions: "You are a helpful assistant");
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AzureAIAgent agent = new(definition, azureAgentClient)
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{
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Kernel = Kernel.CreateBuilder().Build(),
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Name = "Host",
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Instructions = "You are a helpful assistant",
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Arguments = new KernelArguments(new PromptExecutionSettings() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() }),
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};
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var thread = new AzureAIAgentThread(azureAgentClient);
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// Initialize plugin and add to the agent's Kernel (same as direct Kernel usage).
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agent.Kernel.Plugins.Add(KernelPluginFactory.CreateFromFunctions("KernelPluginName", [KernelFunctionFactory.CreateFromMethod(GetWeather)]));
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var result = await agent.InvokeAsync(userInput).FirstAsync();
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Console.WriteLine(result.Message);
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Console.WriteLine("---");
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await foreach (ChatMessageContent update in agent.InvokeAsync(userInput, thread))
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{
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Console.Write(update);
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}
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// Clean up
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await thread.DeleteAsync();
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await azureAgentClient.Administration.DeleteAgentAsync(agent.Id);
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}
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async Task AFAgent()
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{
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Console.WriteLine("\n=== AF Agent ===\n");
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var azureAgentClient = new PersistentAgentsClient(azureEndpoint, new AzureCliCredential());
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var agent = await azureAgentClient.CreateAIAgentAsync(deploymentName, instructions: "Answer questions about the menu");
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var thread = agent.GetNewThread();
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var agentOptions = new ChatClientAgentRunOptions(new() { Tools = [AIFunctionFactory.Create(GetWeather)] });
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var result = await agent.RunAsync(userInput, thread, agentOptions);
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Console.WriteLine(result);
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Console.WriteLine("---");
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await foreach (var update in agent.RunStreamingAsync(userInput, thread, agentOptions))
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{
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Console.Write(update);
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}
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// Clean up
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await azureAgentClient.Threads.DeleteThreadAsync(thread.ConversationId);
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await azureAgentClient.Administration.DeleteAgentAsync(agent.Id);
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}
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