chore: import upstream snapshot with attribution
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This commit is contained in:
wehub-resource-sync
2026-07-13 13:21:23 +08:00
commit b957a53def
5423 changed files with 863745 additions and 0 deletions
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<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFramework>net10.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<NoWarn>$(NoWarn);CA1707;CA2007;VSTHRD111</NoWarn>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.Abstractions" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" />
<PackageReference Include="Microsoft.Extensions.DependencyInjection.Abstractions" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Agents\Core\Agents.Core.csproj" />
<ProjectReference Include="..\..\..\..\src\Agents\OpenAI\Agents.OpenAI.csproj" />
<ProjectReference Include="..\..\..\..\src\SemanticKernel.MetaPackage\SemanticKernel.MetaPackage.csproj" />
</ItemGroup>
</Project>
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// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI;
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Agents;
using Microsoft.SemanticKernel.Connectors.OpenAI;
using OpenAI;
using OpenAI.Chat;
var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
var model = System.Environment.GetEnvironmentVariable("OPENAI_MODEL") ?? "gpt-4o";
var userInput = "Tell me a joke about a pirate.";
Console.WriteLine($"User Input: {userInput}");
await SKAgentAsync();
await SKAgent_As_AFAgentAsync();
await AFAgentAsync();
// Example of Semantic Kernel Agent code
async Task SKAgentAsync()
{
Console.WriteLine("\n=== SK Agent ===\n");
var builder = Kernel.CreateBuilder().AddOpenAIChatClient(model, apiKey);
var agent = new ChatCompletionAgent()
{
Kernel = builder.Build(),
Name = "Joker",
Instructions = "You are good at telling jokes.",
};
var thread = new ChatHistoryAgentThread();
var settings = new OpenAIPromptExecutionSettings() { MaxTokens = 1000 };
var agentOptions = new AgentInvokeOptions() { KernelArguments = new(settings) };
await foreach (var result in agent.InvokeAsync(userInput, thread, agentOptions))
{
Console.WriteLine(result.Message);
}
Console.WriteLine("---");
await foreach (var update in agent.InvokeStreamingAsync(userInput, thread, agentOptions))
{
Console.Write(update.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 builder = Kernel.CreateBuilder().AddOpenAIChatClient(model, apiKey);
#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.
var agent = new ChatCompletionAgent()
{
Kernel = builder.Build(),
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.
var thread = await agent.CreateSessionAsync();
var agentOptions = new ChatClientAgentRunOptions(new() { MaxOutputTokens = 1000 });
var result = await agent.RunAsync(userInput, thread, agentOptions);
Console.WriteLine(result);
Console.WriteLine("---");
await foreach (var update in agent.RunStreamingAsync(userInput, thread, agentOptions))
{
Console.Write(update);
}
}
// Example of a fully migrated Agent Framework Agent code
async Task AFAgentAsync()
{
Console.WriteLine("\n=== AF Agent ===\n");
var agent = new OpenAIClient(apiKey).GetChatClient(model)
.AsAIAgent(name: "Joker", instructions: "You are good at telling jokes.");
var thread = await agent.CreateSessionAsync();
var agentOptions = new ChatClientAgentRunOptions(new() { MaxOutputTokens = 1000 });
var result = await agent.RunAsync(userInput, thread, agentOptions);
Console.WriteLine(result);
Console.WriteLine("---");
await foreach (var update in agent.RunStreamingAsync(userInput, thread, agentOptions))
{
Console.Write(update);
}
}
@@ -0,0 +1,23 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFramework>net10.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<NoWarn>$(NoWarn);CA1707;CA2007;VSTHRD111</NoWarn>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Microsoft.Agents.AI.Abstractions" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" />
<PackageReference Include="Microsoft.Extensions.DependencyInjection.Abstractions" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Agents\Core\Agents.Core.csproj" />
<ProjectReference Include="..\..\..\..\src\Agents\OpenAI\Agents.OpenAI.csproj" />
<ProjectReference Include="..\..\..\..\src\SemanticKernel.MetaPackage\SemanticKernel.MetaPackage.csproj" />
</ItemGroup>
</Project>
@@ -0,0 +1,98 @@
// Copyright (c) Microsoft. All rights reserved.
using System.ComponentModel;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Agents;
using OpenAI;
using OpenAI.Chat;
var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
var model = System.Environment.GetEnvironmentVariable("OPENAI_MODEL") ?? "gpt-4o";
var userInput = "What is the weather like in Amsterdam?";
Console.WriteLine($"User Input: {userInput}");
[KernelFunction]
[Description("Get the weather for a given location.")]
static string GetWeather([Description("The location to get the weather for.")] string location)
=> $"The weather in {location} is cloudy with a high of 15°C.";
await SKAgentAsync();
await SKAgent_As_AFAgentAsync();
await AFAgentAsync();
async Task SKAgentAsync()
{
var builder = Kernel.CreateBuilder().AddOpenAIChatClient(model, apiKey);
ChatCompletionAgent agent = new()
{
Instructions = "You are a helpful assistant",
Kernel = builder.Build(),
Arguments = new KernelArguments(new PromptExecutionSettings() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() }),
};
// Initialize plugin and add to the agent's Kernel (same as direct Kernel usage).
agent.Kernel.Plugins.Add(KernelPluginFactory.CreateFromFunctions("KernelPluginName", [KernelFunctionFactory.CreateFromMethod(GetWeather)]));
Console.WriteLine("\n=== SK Agent Response ===\n");
await foreach (var item in agent.InvokeAsync(userInput))
{
Console.Write(item.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 builder = Kernel.CreateBuilder().AddOpenAIChatClient(model, apiKey);
ChatCompletionAgent skAgent = new()
{
Instructions = "You are a helpful assistant",
Kernel = builder.Build(),
Arguments = new KernelArguments(new PromptExecutionSettings() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() }),
};
// Initialize plugin and add to the agent's Kernel (same as direct Kernel usage).
skAgent.Kernel.Plugins.Add(KernelPluginFactory.CreateFromFunctions("KernelPluginName", [KernelFunctionFactory.CreateFromMethod(GetWeather)]));
#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.
var agent = skAgent.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.
var thread = await agent.CreateSessionAsync();
var agentOptions = new ChatClientAgentRunOptions(new() { MaxOutputTokens = 1000 });
var result = await agent.RunAsync(userInput, thread, agentOptions);
Console.WriteLine(result);
Console.WriteLine("---");
await foreach (var update in agent.RunStreamingAsync(userInput, thread, agentOptions))
{
Console.Write(update);
}
Console.WriteLine("\n---\n");
await foreach (var item in skAgent.InvokeAsync(userInput))
{
Console.Write(item.Message);
}
}
async Task AFAgentAsync()
{
var agent = new OpenAIClient(apiKey).GetChatClient(model).AsAIAgent(
instructions: "You are a helpful assistant",
tools: [AIFunctionFactory.Create(GetWeather)]);
Console.WriteLine("\n=== AF Agent Response ===\n");
var result = await agent.RunAsync(userInput);
Console.WriteLine(result);
}
@@ -0,0 +1,23 @@
<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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// Copyright (c) Microsoft. All rights reserved.
using Microsoft.Agents.AI;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Agents;
using OpenAI;
using OpenAI.Chat;
var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
var model = System.Environment.GetEnvironmentVariable("OPENAI_MODEL") ?? "gpt-4o";
var userInput = "Tell me a joke about a pirate.";
Console.WriteLine($"User Input: {userInput}");
await SKAgentAsync();
await SKAgent_As_AFAgentAsync();
await AFAgentAsync();
async Task SKAgentAsync()
{
Console.WriteLine("\n=== SK Agent ===\n");
var serviceCollection = new ServiceCollection();
serviceCollection.AddKernel().AddOpenAIChatClient(model, apiKey);
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>();
await foreach (var item in agent.InvokeAsync(userInput))
{
Console.WriteLine(item.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().AddOpenAIChatClient(model, apiKey);
#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<AIAgent>((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 AFAgentAsync()
{
Console.WriteLine("\n=== AF Agent ===\n");
var serviceCollection = new ServiceCollection();
serviceCollection.AddTransient<AIAgent>((sp) => new OpenAIClient(apiKey)
.GetChatClient(model)
.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);
}