wehub-resource-sync
99 lines
3.6 KiB
C#
99 lines
3.6 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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using System.ComponentModel;
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.Agents;
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using OpenAI;
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using OpenAI.Chat;
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var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
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var model = System.Environment.GetEnvironmentVariable("OPENAI_MODEL") ?? "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 SKAgentAsync();
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await SKAgent_As_AFAgentAsync();
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await AFAgentAsync();
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async Task SKAgentAsync()
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{
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var builder = Kernel.CreateBuilder().AddOpenAIChatClient(model, apiKey);
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ChatCompletionAgent agent = new()
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{
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Instructions = "You are a helpful assistant",
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Kernel = builder.Build(),
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Arguments = new KernelArguments(new PromptExecutionSettings() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() }),
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};
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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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Console.WriteLine("\n=== SK Agent Response ===\n");
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await foreach (var item in agent.InvokeAsync(userInput))
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{
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Console.Write(item.Message);
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}
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}
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// Example of Semantic Kernel Agent code converted as an Agent Framework Agent
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async Task SKAgent_As_AFAgentAsync()
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{
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Console.WriteLine("\n=== SK Agent Converted as an AF Agent ===\n");
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var builder = Kernel.CreateBuilder().AddOpenAIChatClient(model, apiKey);
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ChatCompletionAgent skAgent = new()
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{
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Instructions = "You are a helpful assistant",
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Kernel = builder.Build(),
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Arguments = new KernelArguments(new PromptExecutionSettings() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() }),
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};
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// Initialize plugin and add to the agent's Kernel (same as direct Kernel usage).
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skAgent.Kernel.Plugins.Add(KernelPluginFactory.CreateFromFunctions("KernelPluginName", [KernelFunctionFactory.CreateFromMethod(GetWeather)]));
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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 agent = skAgent.AsAIAgent();
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#pragma warning restore 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 thread = await agent.CreateSessionAsync();
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var agentOptions = new ChatClientAgentRunOptions(new() { MaxOutputTokens = 1000 });
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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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Console.WriteLine("\n---\n");
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await foreach (var item in skAgent.InvokeAsync(userInput))
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{
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Console.Write(item.Message);
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}
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}
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async Task AFAgentAsync()
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{
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var agent = new OpenAIClient(apiKey).GetChatClient(model).AsAIAgent(
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instructions: "You are a helpful assistant",
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tools: [AIFunctionFactory.Create(GetWeather)]);
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Console.WriteLine("\n=== AF Agent Response ===\n");
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var result = await agent.RunAsync(userInput);
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Console.WriteLine(result);
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}
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