chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
+23
@@ -0,0 +1,23 @@
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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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||||
<OutputType>Exe</OutputType>
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<TargetFramework>net10.0</TargetFramework>
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||||
<ImplicitUsings>enable</ImplicitUsings>
|
||||
<Nullable>enable</Nullable>
|
||||
<NoWarn>$(NoWarn);CA1707;CA2007;VSTHRD111</NoWarn>
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||||
</PropertyGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<PackageReference Include="Microsoft.Agents.AI.Abstractions" />
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||||
<PackageReference Include="Microsoft.Agents.AI.OpenAI" />
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||||
<PackageReference Include="Microsoft.Extensions.DependencyInjection.Abstractions" />
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||||
</ItemGroup>
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||||
|
||||
<ItemGroup>
|
||||
<ProjectReference Include="..\..\..\..\src\Agents\Core\Agents.Core.csproj" />
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||||
<ProjectReference Include="..\..\..\..\src\Agents\OpenAI\Agents.OpenAI.csproj" />
|
||||
<ProjectReference Include="..\..\..\..\src\SemanticKernel.MetaPackage\SemanticKernel.MetaPackage.csproj" />
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||||
</ItemGroup>
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||||
|
||||
</Project>
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@@ -0,0 +1,99 @@
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// Copyright (c) Microsoft. All rights reserved.
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using Azure.AI.OpenAI;
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using Azure.Identity;
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using Microsoft.Agents.AI;
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.Agents;
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using Microsoft.SemanticKernel.Connectors.OpenAI;
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using OpenAI.Chat;
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var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
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var deploymentName = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o";
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var userInput = "Tell me a joke about a pirate.";
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Console.WriteLine($"User Input: {userInput}");
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await SKAgent();
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await SKAgent_As_AFAgentAsync();
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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 builder = Kernel.CreateBuilder().AddAzureOpenAIChatClient(deploymentName, endpoint, new AzureCliCredential());
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var agent = new ChatCompletionAgent()
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{
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Kernel = builder.Build(),
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Name = "Joker",
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Instructions = "You are good at telling jokes.",
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};
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var thread = new ChatHistoryAgentThread();
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var settings = new OpenAIPromptExecutionSettings() { MaxTokens = 1000 };
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var agentOptions = new AgentInvokeOptions() { KernelArguments = new(settings) };
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await foreach (var result in agent.InvokeAsync(userInput, thread, agentOptions))
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{
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Console.WriteLine(result.Message);
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}
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Console.WriteLine("---");
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await foreach (var update in agent.InvokeStreamingAsync(userInput, thread, agentOptions))
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{
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Console.Write(update.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().AddAzureOpenAIChatClient(deploymentName, endpoint, new AzureCliCredential());
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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 = new ChatCompletionAgent()
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{
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Kernel = builder.Build(),
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Name = "Joker",
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Instructions = "You are good at telling jokes.",
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}.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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}
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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 agent = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName)
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.AsAIAgent(name: "Joker", instructions: "You are good at telling jokes.");
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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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}
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+23
@@ -0,0 +1,23 @@
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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
|
||||
<OutputType>Exe</OutputType>
|
||||
<TargetFramework>net10.0</TargetFramework>
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||||
<ImplicitUsings>enable</ImplicitUsings>
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||||
<Nullable>enable</Nullable>
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||||
<NoWarn>$(NoWarn);CA1707;CA2007;VSTHRD111</NoWarn>
|
||||
</PropertyGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<PackageReference Include="Microsoft.Agents.AI.Abstractions" />
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||||
<PackageReference Include="Microsoft.Agents.AI.OpenAI" />
|
||||
<PackageReference Include="Microsoft.Extensions.DependencyInjection.Abstractions" />
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||||
</ItemGroup>
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||||
|
||||
<ItemGroup>
|
||||
<ProjectReference Include="..\..\..\..\src\Agents\Core\Agents.Core.csproj" />
|
||||
<ProjectReference Include="..\..\..\..\src\Agents\OpenAI\Agents.OpenAI.csproj" />
|
||||
<ProjectReference Include="..\..\..\..\src\SemanticKernel.MetaPackage\SemanticKernel.MetaPackage.csproj" />
|
||||
</ItemGroup>
|
||||
|
||||
</Project>
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@@ -0,0 +1,82 @@
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// Copyright (c) Microsoft. All rights reserved.
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using System.ComponentModel;
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using Azure.AI.OpenAI;
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using Azure.Identity;
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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.Chat;
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var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
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var deploymentName = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_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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||||
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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 SKAgent_As_AFAgentAsync();
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await AFAgent();
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||||
|
||||
async Task SKAgent()
|
||||
{
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||||
var builder = Kernel.CreateBuilder().AddAzureOpenAIChatClient(deploymentName, endpoint, new AzureCliCredential());
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||||
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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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||||
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Console.WriteLine("\n=== SK Agent Response ===\n");
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var result = await agent.InvokeAsync(userInput).FirstAsync();
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Console.WriteLine(result.Message);
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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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||||
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||||
var builder = Kernel.CreateBuilder().AddAzureOpenAIChatClient(deploymentName, endpoint, new AzureCliCredential());
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||||
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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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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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var afAgent = agent.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 result = await afAgent.RunAsync(userInput);
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Console.WriteLine(result);
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}
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async Task AFAgent()
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{
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var agent = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName)
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.AsAIAgent(instructions: "You are a helpful assistant", 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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+23
@@ -0,0 +1,23 @@
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||||
<Project Sdk="Microsoft.NET.Sdk">
|
||||
|
||||
<PropertyGroup>
|
||||
<OutputType>Exe</OutputType>
|
||||
<TargetFramework>net10.0</TargetFramework>
|
||||
<ImplicitUsings>enable</ImplicitUsings>
|
||||
<Nullable>enable</Nullable>
|
||||
<NoWarn>$(NoWarn);CA1707;CA2007;VSTHRD111</NoWarn>
|
||||
</PropertyGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<PackageReference Include="Microsoft.Agents.AI.Abstractions" />
|
||||
<PackageReference Include="Microsoft.Agents.AI.OpenAI" />
|
||||
<PackageReference Include="Microsoft.Extensions.DependencyInjection" />
|
||||
</ItemGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<ProjectReference Include="..\..\..\..\src\Agents\Core\Agents.Core.csproj" />
|
||||
<ProjectReference Include="..\..\..\..\src\Agents\OpenAI\Agents.OpenAI.csproj" />
|
||||
<ProjectReference Include="..\..\..\..\src\SemanticKernel.MetaPackage\SemanticKernel.MetaPackage.csproj" />
|
||||
</ItemGroup>
|
||||
|
||||
</Project>
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||||
+82
@@ -0,0 +1,82 @@
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// Copyright (c) Microsoft. All rights reserved.
|
||||
|
||||
using Azure.AI.OpenAI;
|
||||
using Azure.Identity;
|
||||
using Microsoft.Agents.AI;
|
||||
using Microsoft.Extensions.AI;
|
||||
using Microsoft.Extensions.DependencyInjection;
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||||
using Microsoft.SemanticKernel;
|
||||
using Microsoft.SemanticKernel.Agents;
|
||||
using OpenAI.Chat;
|
||||
|
||||
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
|
||||
var deploymentName = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o";
|
||||
var userInput = "Tell me a joke about a pirate.";
|
||||
|
||||
Console.WriteLine($"User Input: {userInput}");
|
||||
|
||||
await SKAgent();
|
||||
await SKAgent_As_AFAgentAsync();
|
||||
await AFAgent();
|
||||
|
||||
async Task SKAgent()
|
||||
{
|
||||
Console.WriteLine("\n=== SK Agent ===\n");
|
||||
|
||||
var serviceCollection = new ServiceCollection();
|
||||
serviceCollection.AddKernel().AddAzureOpenAIChatClient(deploymentName, endpoint, new AzureCliCredential());
|
||||
serviceCollection.AddTransient((sp) => new ChatCompletionAgent()
|
||||
{
|
||||
Kernel = sp.GetRequiredService<Kernel>(),
|
||||
Name = "Joker",
|
||||
Instructions = "You are good at telling jokes."
|
||||
});
|
||||
|
||||
await using ServiceProvider serviceProvider = serviceCollection.BuildServiceProvider();
|
||||
var agent = serviceProvider.GetRequiredService<ChatCompletionAgent>();
|
||||
|
||||
var result = await agent.InvokeAsync(userInput).FirstAsync();
|
||||
Console.WriteLine(result.Message);
|
||||
}
|
||||
|
||||
// Example of Semantic Kernel Agent code converted as an Agent Framework Agent
|
||||
async Task SKAgent_As_AFAgentAsync()
|
||||
{
|
||||
Console.WriteLine("\n=== SK Agent Converted as an AF Agent ===\n");
|
||||
|
||||
var serviceCollection = new ServiceCollection();
|
||||
serviceCollection.AddKernel().AddAzureOpenAIChatClient(deploymentName, endpoint, new AzureCliCredential());
|
||||
|
||||
#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.
|
||||
|
||||
serviceCollection.AddTransient((sp) => new ChatCompletionAgent()
|
||||
{
|
||||
Kernel = sp.GetRequiredService<Kernel>(),
|
||||
Name = "Joker",
|
||||
Instructions = "You are good at telling jokes."
|
||||
}.AsAIAgent());
|
||||
|
||||
#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.
|
||||
|
||||
await using ServiceProvider serviceProvider = serviceCollection.BuildServiceProvider();
|
||||
var agent = serviceProvider.GetRequiredService<AIAgent>();
|
||||
|
||||
var result = await agent.RunAsync(userInput);
|
||||
Console.WriteLine(result);
|
||||
}
|
||||
|
||||
async Task AFAgent()
|
||||
{
|
||||
Console.WriteLine("\n=== AF Agent ===\n");
|
||||
|
||||
var serviceCollection = new ServiceCollection();
|
||||
serviceCollection.AddTransient<AIAgent>((sp) => new AzureOpenAIClient(new(endpoint), new AzureCliCredential())
|
||||
.GetChatClient(deploymentName)
|
||||
.AsAIAgent(name: "Joker", instructions: "You are good at telling jokes."));
|
||||
|
||||
await using ServiceProvider serviceProvider = serviceCollection.BuildServiceProvider();
|
||||
var agent = serviceProvider.GetRequiredService<AIAgent>();
|
||||
|
||||
var result = await agent.RunAsync(userInput);
|
||||
Console.WriteLine(result);
|
||||
}
|
||||
+30
@@ -0,0 +1,30 @@
|
||||
<Project Sdk="Microsoft.NET.Sdk">
|
||||
|
||||
<PropertyGroup>
|
||||
<OutputType>Exe</OutputType>
|
||||
<TargetFramework>net10.0</TargetFramework>
|
||||
<ImplicitUsings>enable</ImplicitUsings>
|
||||
<Nullable>enable</Nullable>
|
||||
<NoWarn>$(NoWarn);CA1707;CA2007;VSTHRD111</NoWarn>
|
||||
</PropertyGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<PackageReference Include="Microsoft.Agents.AI.Abstractions" />
|
||||
<PackageReference Include="Microsoft.Agents.AI.OpenAI" />
|
||||
<PackageReference Include="Microsoft.Extensions.DependencyInjection.Abstractions" />
|
||||
</ItemGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<ProjectReference Include="..\..\..\..\src\Agents\Core\Agents.Core.csproj" />
|
||||
<ProjectReference Include="..\..\..\..\src\Agents\OpenAI\Agents.OpenAI.csproj" />
|
||||
<ProjectReference Include="..\..\..\..\src\Functions\Functions.OpenApi\Functions.OpenApi.csproj" />
|
||||
<ProjectReference Include="..\..\..\..\src\SemanticKernel.MetaPackage\SemanticKernel.MetaPackage.csproj" />
|
||||
</ItemGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<None Update="OpenAPISpec.json">
|
||||
<CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
|
||||
</None>
|
||||
</ItemGroup>
|
||||
|
||||
</Project>
|
||||
+354
@@ -0,0 +1,354 @@
|
||||
{
|
||||
"openapi": "3.0.1",
|
||||
"info": {
|
||||
"title": "Github Versions API",
|
||||
"version": "1.0.0"
|
||||
},
|
||||
"servers": [
|
||||
{
|
||||
"url": "https://api.github.com"
|
||||
}
|
||||
],
|
||||
"components": {
|
||||
"schemas": {
|
||||
"basic-error": {
|
||||
"title": "Basic Error",
|
||||
"description": "Basic Error",
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"message": {
|
||||
"type": "string"
|
||||
},
|
||||
"documentation_url": {
|
||||
"type": "string"
|
||||
},
|
||||
"url": {
|
||||
"type": "string"
|
||||
},
|
||||
"status": {
|
||||
"type": "string"
|
||||
}
|
||||
}
|
||||
},
|
||||
"label": {
|
||||
"title": "Label",
|
||||
"description": "Color-coded labels help you categorize and filter your issues (just like labels in Gmail).",
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"id": {
|
||||
"description": "Unique identifier for the label.",
|
||||
"type": "integer",
|
||||
"format": "int64",
|
||||
"example": 208045946
|
||||
},
|
||||
"node_id": {
|
||||
"type": "string",
|
||||
"example": "MDU6TGFiZWwyMDgwNDU5NDY="
|
||||
},
|
||||
"url": {
|
||||
"description": "URL for the label",
|
||||
"example": "https://api.github.com/repositories/42/labels/bug",
|
||||
"type": "string",
|
||||
"format": "uri"
|
||||
},
|
||||
"name": {
|
||||
"description": "The name of the label.",
|
||||
"example": "bug",
|
||||
"type": "string"
|
||||
},
|
||||
"description": {
|
||||
"description": "Optional description of the label, such as its purpose.",
|
||||
"type": "string",
|
||||
"example": "Something isn't working",
|
||||
"nullable": true
|
||||
},
|
||||
"color": {
|
||||
"description": "6-character hex code, without the leading #, identifying the color",
|
||||
"example": "FFFFFF",
|
||||
"type": "string"
|
||||
},
|
||||
"default": {
|
||||
"description": "Whether this label comes by default in a new repository.",
|
||||
"type": "boolean",
|
||||
"example": true
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"id",
|
||||
"node_id",
|
||||
"url",
|
||||
"name",
|
||||
"description",
|
||||
"color",
|
||||
"default"
|
||||
]
|
||||
},
|
||||
"tag": {
|
||||
"title": "Tag",
|
||||
"description": "Tag",
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"name": {
|
||||
"type": "string",
|
||||
"example": "v0.1"
|
||||
},
|
||||
"commit": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"sha": {
|
||||
"type": "string"
|
||||
},
|
||||
"url": {
|
||||
"type": "string",
|
||||
"format": "uri"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"sha",
|
||||
"url"
|
||||
]
|
||||
},
|
||||
"zipball_url": {
|
||||
"type": "string",
|
||||
"format": "uri",
|
||||
"example": "https://github.com/octocat/Hello-World/zipball/v0.1"
|
||||
},
|
||||
"tarball_url": {
|
||||
"type": "string",
|
||||
"format": "uri",
|
||||
"example": "https://github.com/octocat/Hello-World/tarball/v0.1"
|
||||
},
|
||||
"node_id": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"name",
|
||||
"node_id",
|
||||
"commit",
|
||||
"zipball_url",
|
||||
"tarball_url"
|
||||
]
|
||||
}
|
||||
},
|
||||
"examples": {
|
||||
"label-items": {
|
||||
"value": [
|
||||
{
|
||||
"id": 208045946,
|
||||
"node_id": "MDU6TGFiZWwyMDgwNDU5NDY=",
|
||||
"url": "https://api.github.com/repos/octocat/Hello-World/labels/bug",
|
||||
"name": "bug",
|
||||
"description": "Something isn't working",
|
||||
"color": "f29513",
|
||||
"default": true
|
||||
},
|
||||
{
|
||||
"id": 208045947,
|
||||
"node_id": "MDU6TGFiZWwyMDgwNDU5NDc=",
|
||||
"url": "https://api.github.com/repos/octocat/Hello-World/labels/enhancement",
|
||||
"name": "enhancement",
|
||||
"description": "New feature or request",
|
||||
"color": "a2eeef",
|
||||
"default": false
|
||||
}
|
||||
]
|
||||
},
|
||||
"tag-items": {
|
||||
"value": [
|
||||
{
|
||||
"name": "v0.1",
|
||||
"commit": {
|
||||
"sha": "c5b97d5ae6c19d5c5df71a34c7fbeeda2479ccbc",
|
||||
"url": "https://api.github.com/repos/octocat/Hello-World/commits/c5b97d5ae6c19d5c5df71a34c7fbeeda2479ccbc"
|
||||
},
|
||||
"zipball_url": "https://github.com/octocat/Hello-World/zipball/v0.1",
|
||||
"tarball_url": "https://github.com/octocat/Hello-World/tarball/v0.1",
|
||||
"node_id": "MDQ6VXNlcjE="
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"parameters": {
|
||||
"owner": {
|
||||
"name": "owner",
|
||||
"description": "The account owner of the repository. The name is not case sensitive.",
|
||||
"in": "path",
|
||||
"required": true,
|
||||
"schema": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"repo": {
|
||||
"name": "repo",
|
||||
"description": "The name of the repository without the `.git` extension. The name is not case sensitive.",
|
||||
"in": "path",
|
||||
"required": true,
|
||||
"schema": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"per-page": {
|
||||
"name": "per_page",
|
||||
"description": "The number of results per page (max 100). For more information, see \"[Using pagination in the REST API](https://docs.github.com/rest/using-the-rest-api/using-pagination-in-the-rest-api).\"",
|
||||
"in": "query",
|
||||
"schema": {
|
||||
"type": "integer",
|
||||
"default": 30
|
||||
}
|
||||
},
|
||||
"page": {
|
||||
"name": "page",
|
||||
"description": "The page number of the results to fetch. For more information, see \"[Using pagination in the REST API](https://docs.github.com/rest/using-the-rest-api/using-pagination-in-the-rest-api).\"",
|
||||
"in": "query",
|
||||
"schema": {
|
||||
"type": "integer",
|
||||
"default": 1
|
||||
}
|
||||
}
|
||||
},
|
||||
"responses": {
|
||||
"not_found": {
|
||||
"description": "Resource not found",
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/basic-error"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"headers": {
|
||||
"link": {
|
||||
"example": "<https://api.github.com/resource?page=2>; rel=\"next\", <https://api.github.com/resource?page=5>; rel=\"last\"",
|
||||
"schema": {
|
||||
"type": "string"
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"paths": {
|
||||
"/repos/{owner}/{repo}/tags": {
|
||||
"get": {
|
||||
"summary": "List repository tags",
|
||||
"description": "",
|
||||
"tags": [
|
||||
"repos"
|
||||
],
|
||||
"operationId": "repos/list-tags",
|
||||
"externalDocs": {
|
||||
"description": "API method documentation",
|
||||
"url": "https://docs.github.com/rest/repos/repos#list-repository-tags"
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"$ref": "#/components/parameters/owner"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/parameters/repo"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/parameters/per-page"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/parameters/page"
|
||||
}
|
||||
],
|
||||
"responses": {
|
||||
"200": {
|
||||
"description": "Response",
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/tag"
|
||||
}
|
||||
},
|
||||
"examples": {
|
||||
"default": {
|
||||
"$ref": "#/components/examples/tag-items"
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"headers": {
|
||||
"Link": {
|
||||
"$ref": "#/components/headers/link"
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"x-github": {
|
||||
"githubCloudOnly": false,
|
||||
"enabledForGitHubApps": true,
|
||||
"category": "repos",
|
||||
"subcategory": "repos"
|
||||
}
|
||||
}
|
||||
},
|
||||
"/repos/{owner}/{repo}/labels": {
|
||||
"get": {
|
||||
"summary": "List labels for a repository",
|
||||
"description": "Lists all labels for a repository.",
|
||||
"tags": [
|
||||
"issues"
|
||||
],
|
||||
"operationId": "issues/list-labels-for-repo",
|
||||
"externalDocs": {
|
||||
"description": "API method documentation",
|
||||
"url": "https://docs.github.com/rest/issues/labels#list-labels-for-a-repository"
|
||||
},
|
||||
"parameters": [
|
||||
{
|
||||
"$ref": "#/components/parameters/owner"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/parameters/repo"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/parameters/per-page"
|
||||
},
|
||||
{
|
||||
"$ref": "#/components/parameters/page"
|
||||
}
|
||||
],
|
||||
"responses": {
|
||||
"200": {
|
||||
"description": "Response",
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"$ref": "#/components/schemas/label"
|
||||
}
|
||||
},
|
||||
"examples": {
|
||||
"default": {
|
||||
"$ref": "#/components/examples/label-items"
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"headers": {
|
||||
"Link": {
|
||||
"$ref": "#/components/headers/link"
|
||||
}
|
||||
}
|
||||
},
|
||||
"404": {
|
||||
"$ref": "#/components/responses/not_found"
|
||||
}
|
||||
},
|
||||
"x-github": {
|
||||
"githubCloudOnly": false,
|
||||
"enabledForGitHubApps": true,
|
||||
"category": "issues",
|
||||
"subcategory": "labels"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
+66
@@ -0,0 +1,66 @@
|
||||
// Copyright (c) Microsoft. All rights reserved.
|
||||
|
||||
// This sample demonstrates how to use an Agent with function tools provided via an OpenAPI spec with both Semantic Kernel and Agent Framework.
|
||||
|
||||
using Azure.AI.OpenAI;
|
||||
using Azure.Identity;
|
||||
using Microsoft.Agents.AI;
|
||||
using Microsoft.Extensions.AI;
|
||||
using Microsoft.SemanticKernel;
|
||||
using Microsoft.SemanticKernel.Agents;
|
||||
using Microsoft.SemanticKernel.Plugins.OpenApi;
|
||||
using OpenAI.Chat;
|
||||
|
||||
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
|
||||
var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
|
||||
|
||||
await SKAgent();
|
||||
await AFAgent();
|
||||
|
||||
async Task SKAgent()
|
||||
{
|
||||
Console.WriteLine("\n=== SK Agent ===\n");
|
||||
|
||||
// Create a kernel with an Azure OpenAI chat client.
|
||||
var kernel = Kernel.CreateBuilder().AddAzureOpenAIChatClient(deploymentName, endpoint, new AzureCliCredential()).Build();
|
||||
|
||||
// Load the OpenAPI Spec from a file.
|
||||
var plugin = await kernel.ImportPluginFromOpenApiAsync("github", "OpenAPISpec.json");
|
||||
|
||||
// Create the agent, and provide the kernel with the OpenAPI function tools to the agent.
|
||||
var agent = new ChatCompletionAgent()
|
||||
{
|
||||
Kernel = kernel,
|
||||
Instructions = "You are a helpful assistant",
|
||||
Arguments = new KernelArguments(new PromptExecutionSettings() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() }),
|
||||
};
|
||||
|
||||
// Run the agent with the OpenAPI function tools.
|
||||
await foreach (var result in agent.InvokeAsync("Please list the names, colors and descriptions of all the labels available in the microsoft/agent-framework repository on github."))
|
||||
{
|
||||
Console.WriteLine(result.Message);
|
||||
}
|
||||
}
|
||||
|
||||
async Task AFAgent()
|
||||
{
|
||||
Console.WriteLine("\n=== AF Agent ===\n");
|
||||
|
||||
// Load the OpenAPI Spec from a file.
|
||||
KernelPlugin plugin = await OpenApiKernelPluginFactory.CreateFromOpenApiAsync("github", "OpenAPISpec.json");
|
||||
|
||||
// Convert the Semantic Kernel plugin to Agent Framework function tools.
|
||||
// This requires a dummy Kernel instance, since KernelFunctions cannot execute without one.
|
||||
Kernel kernel = new();
|
||||
List<AITool> tools = plugin.Select(x => x.WithKernel(kernel)).Cast<AITool>().ToList();
|
||||
|
||||
// Create the chat client and agent, and provide the OpenAPI function tools to the agent.
|
||||
AIAgent agent = new AzureOpenAIClient(
|
||||
new Uri(endpoint),
|
||||
new AzureCliCredential())
|
||||
.GetChatClient(deploymentName)
|
||||
.AsAIAgent(instructions: "You are a helpful assistant", tools: tools);
|
||||
|
||||
// Run the agent with the OpenAPI function tools.
|
||||
Console.WriteLine(await agent.RunAsync("Please list the names, colors and descriptions of all the labels available in the microsoft/agent-framework repository on github."));
|
||||
}
|
||||
Reference in New Issue
Block a user