mirror of
https://github.com/microsoft/agent-framework.git
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.NET: Add SK-AF Migration Samples for Responses API. (#575)
* Responses wip * Adding OpenAI Responses Migration samples * Address all samples and code for Azure and OpenAI Responses Migration code * Update dotnet/samples/SemanticKernelMigration/OpenAIResponses/Step02_ReasoningModel/Program.cs Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
This commit is contained in:
Roger Barreto
committed by
GitHub
Unverified
GitHub
parent
98cdb51424
commit
9b61c72e18
@@ -71,6 +71,18 @@
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<Project Path="samples/HowToCreateAnAIAgentByProvider/AIAgent_With_OpenAIChatCompletion/AIAgent_With_OpenAIChatCompletion.csproj" />
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<Project Path="samples/HowToCreateAnAIAgentByProvider/AIAgent_With_OpenAIResponses/AIAgent_With_OpenAIResponses.csproj" />
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</Folder>
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<Folder Name="/Samples/SemanticKernelMigration/OpenAIResponses/">
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<Project Path="samples/SemanticKernelMigration/OpenAIResponses/Step01_Basics/OpenAIResponses_Step01_Basics.csproj" />
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<Project Path="samples/SemanticKernelMigration/OpenAIResponses/Step02_ReasoningModel/OpenAIResponses_Step02_ReasoningModel.csproj" />
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<Project Path="samples/SemanticKernelMigration/OpenAIResponses/Step03_ToolCall/OpenAIResponses_Step03_ToolCall.csproj" />
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<Project Path="samples/SemanticKernelMigration/OpenAIResponses/Step04_DependencyInjection/OpenAIResponses_Step04_DependencyInjection.csproj" />
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</Folder>
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<Folder Name="/Samples/SemanticKernelMigration/AzureOpenAIResponses/">
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<Project Path="samples/SemanticKernelMigration/AzureOpenAIResponses/Step01_Basics/AzureOpenAIResponses_Step01_Basics.csproj" />
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<Project Path="samples/SemanticKernelMigration/AzureOpenAIResponses/Step02_ReasoningModel/AzureOpenAIResponses_Step02_ReasoningModel.csproj" />
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<Project Path="samples/SemanticKernelMigration/AzureOpenAIResponses/Step03_ToolCall/AzureOpenAIResponses_Step03_ToolCall.csproj" />
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<Project Path="samples/SemanticKernelMigration/AzureOpenAIResponses/Step04_DependencyInjection/AzureOpenAIResponses_Step04_DependencyInjection.csproj" />
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</Folder>
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<Folder Name="/Solution Items/">
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<File Path=".editorconfig" />
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<File Path=".gitignore" />
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+24
@@ -0,0 +1,24 @@
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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>net9.0</TargetFramework>
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<ImplicitUsings>enable</ImplicitUsings>
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<Nullable>enable</Nullable>
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<NoWarn>$(NoWarn);CA1812;RCS1102;CA1707</NoWarn>
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="System.Linq.Async" />
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<PackageReference Include="Microsoft.Extensions.DependencyInjection.Abstractions" />
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<PackageReference Include="Microsoft.SemanticKernel" VersionOverride="1.*" />
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<PackageReference Include="Microsoft.SemanticKernel.Agents.OpenAI" VersionOverride="1.*-*" />
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<PackageReference Include="Microsoft.SemanticKernel.Agents.Core" VersionOverride="1.*" />
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</ItemGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents.Abstractions\Microsoft.Extensions.AI.Agents.Abstractions.csproj" />
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<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents.OpenAI\Microsoft.Extensions.AI.Agents.OpenAI.csproj" />
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</ItemGroup>
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</Project>
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@@ -0,0 +1,68 @@
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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.Extensions.AI.Agents;
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using Microsoft.SemanticKernel.Agents.OpenAI;
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using OpenAI;
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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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#pragma warning disable OPENAI001 // 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 endpoint = Environment.GetEnvironmentVariable("AZUREOPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZUREOPENAI_ENDPOINT is not set.");
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var deploymentName = System.Environment.GetEnvironmentVariable("AZUREOPENAI_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 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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OpenAIResponseAgent agent = new(new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential())
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.GetOpenAIResponseClient(deploymentName))
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{
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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 agentOptions = new OpenAIResponseAgentInvokeOptions() { ResponseCreationOptions = new() { MaxOutputTokenCount = 1000 } };
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Microsoft.SemanticKernel.Agents.AgentThread? thread = null;
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await foreach (var item in agent.InvokeAsync(userInput, thread, agentOptions))
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{
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Console.WriteLine(item.Message);
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}
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Console.WriteLine("---");
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await foreach (var item in agent.InvokeStreamingAsync(userInput, thread, agentOptions))
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{
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// Thread need to be updated for subsequent calls
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thread = item.Thread;
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Console.Write(item.Message);
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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())
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.GetOpenAIResponseClient(deploymentName)
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.CreateAIAgent(name: "Joker", instructions: "You are good at telling jokes.");
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var thread = agent.GetNewThread();
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var agentOptions = new ChatClientAgentRunOptions(new() { MaxOutputTokens = 8000 });
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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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+24
@@ -0,0 +1,24 @@
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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>net9.0</TargetFramework>
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<ImplicitUsings>enable</ImplicitUsings>
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<Nullable>enable</Nullable>
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<NoWarn>$(NoWarn);CA1812;RCS1102;CA1707</NoWarn>
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="System.Linq.Async" />
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<PackageReference Include="Microsoft.Extensions.DependencyInjection.Abstractions" />
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<PackageReference Include="Microsoft.SemanticKernel" VersionOverride="1.*" />
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<PackageReference Include="Microsoft.SemanticKernel.Agents.OpenAI" VersionOverride="1.*-*" />
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<PackageReference Include="Microsoft.SemanticKernel.Agents.Core" VersionOverride="1.*" />
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</ItemGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents.Abstractions\Microsoft.Extensions.AI.Agents.Abstractions.csproj" />
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<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents.OpenAI\Microsoft.Extensions.AI.Agents.OpenAI.csproj" />
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</ItemGroup>
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</Project>
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+166
@@ -0,0 +1,166 @@
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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.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.OpenAI;
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using Microsoft.SemanticKernel.ChatCompletion;
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using OpenAI;
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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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#pragma warning disable OPENAI001 // 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 endpoint = Environment.GetEnvironmentVariable("AZUREOPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZUREOPENAI_ENDPOINT is not set.");
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var deploymentName = System.Environment.GetEnvironmentVariable("AZUREOPENAI_DEPLOYMENT_NAME") ?? "o4-mini";
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var userInput =
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"""
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Instructions:
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- Given the React component below, think about it and change it so that nonfiction books have red
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text.
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- Return only the code in your reply
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- Do not include any additional formatting, such as markdown code blocks
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- For formatting, use four space tabs, and do not allow any lines of code to
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exceed 80 columns
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const books = [
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{ title: 'Dune', category: 'fiction', id: 1 },
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{ title: 'Frankenstein', category: 'fiction', id: 2 },
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{ title: 'Moneyball', category: 'nonfiction', id: 3 },
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];
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export default function BookList() {
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const listItems = books.map(book =>
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<li>
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{book.title}
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</li>
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);
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return (
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<ul>{listItems}</ul>
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);
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}
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""";
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Console.WriteLine($"User Input: {userInput}");
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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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OpenAIResponseAgent agent = new(new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential())
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.GetOpenAIResponseClient(deploymentName))
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{
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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 agentOptions = new OpenAIResponseAgentInvokeOptions()
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{
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ResponseCreationOptions = new()
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{
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MaxOutputTokenCount = 8000,
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ReasoningOptions = new()
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{
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ReasoningEffortLevel = OpenAI.Responses.ResponseReasoningEffortLevel.High,
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ReasoningSummaryVerbosity = OpenAI.Responses.ResponseReasoningSummaryVerbosity.Detailed
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}
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}
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};
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Microsoft.SemanticKernel.Agents.AgentThread? thread = null;
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await foreach (var item in agent.InvokeAsync(userInput, thread, agentOptions))
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{
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foreach (var content in item.Message.Items)
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{
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// Currently SK Responses Agent doesn't distinguish thinking from non-thinking content in non-streaming mode.
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// SK Bugfix WIP: https://github.com/microsoft/semantic-kernel/issues/13046
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if (content is ReasoningContent thinking)
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{
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Console.Write($"Thinking: \n{thinking}\n---\n");
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}
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else if (content is Microsoft.SemanticKernel.TextContent text)
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{
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Console.Write($"Assistant: {text}");
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}
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}
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Console.WriteLine(item.Message);
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}
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Console.WriteLine("---");
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var userMessage = new ChatMessageContent(AuthorRole.User, userInput);
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await foreach (var item in agent.InvokeStreamingAsync(userMessage, thread, agentOptions))
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{
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thread = item.Thread;
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foreach (var content in item.Message.Items)
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{
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// Currently SK Agent doesn't output thinking in streaming mode.
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// SK Bugfix WIP: https://github.com/microsoft/semantic-kernel/issues/13046
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if (content is StreamingReasoningContent thinking)
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{
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Console.WriteLine($"Thinking: [{thinking}]");
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continue;
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}
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if (content is StreamingTextContent text)
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{
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Console.WriteLine($"Response: [{text}]");
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}
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}
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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())
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.GetOpenAIResponseClient(deploymentName)
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.CreateAIAgent(name: "Joker", instructions: "You are good at telling jokes.");
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var thread = agent.GetNewThread();
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var agentOptions = new ChatClientAgentRunOptions(new()
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{
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MaxOutputTokens = 8000,
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// Microsoft.Extensions.AI currently does not have an abstraction for reasoning-effort,
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// we need to break glass using the RawRepresentationFactory.
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RawRepresentationFactory = (_) => new OpenAI.Responses.ResponseCreationOptions()
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{
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ReasoningOptions = new()
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{
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ReasoningEffortLevel = OpenAI.Responses.ResponseReasoningEffortLevel.High,
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ReasoningSummaryVerbosity = OpenAI.Responses.ResponseReasoningSummaryVerbosity.Detailed
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}
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}
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});
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var result = await agent.RunAsync(userInput, thread, agentOptions);
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// Retrieve the thinking as a full text block requires flattening multiple TextReasoningContents from multiple messages content lists.
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string assistantThinking = string.Join("\n", result.Messages
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.SelectMany(m => m.Contents)
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.OfType<TextReasoningContent>()
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.Select(trc => trc.Text));
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var assistantText = result.Text;
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Console.WriteLine($"Thinking: \n{assistantThinking}\n---\n");
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Console.WriteLine($"Assistant: \n{assistantText}\n---\n");
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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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var thinkingContents = update.Contents
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.OfType<TextReasoningContent>()
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.Select(trc => trc.Text)
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.ToList();
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if (thinkingContents.Count != 0)
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{
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Console.WriteLine($"Thinking: [{string.Join("\n", thinkingContents)}]");
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continue;
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}
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Console.WriteLine($"Response: [{update.Text}]");
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}
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}
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+24
@@ -0,0 +1,24 @@
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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>net9.0</TargetFramework>
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<ImplicitUsings>enable</ImplicitUsings>
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<Nullable>enable</Nullable>
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<NoWarn>$(NoWarn);CA1812;RCS1102;CA1707;CA1050;CA1052</NoWarn>
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="System.Linq.Async" />
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<PackageReference Include="Microsoft.Extensions.DependencyInjection.Abstractions" />
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<PackageReference Include="Microsoft.SemanticKernel" VersionOverride="1.*" />
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<PackageReference Include="Microsoft.SemanticKernel.Agents.OpenAI" VersionOverride="1.*-*" />
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<PackageReference Include="Microsoft.SemanticKernel.Agents.Core" VersionOverride="1.*" />
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</ItemGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents.Abstractions\Microsoft.Extensions.AI.Agents.Abstractions.csproj" />
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<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents.OpenAI\Microsoft.Extensions.AI.Agents.OpenAI.csproj" />
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</ItemGroup>
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</Project>
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+56
@@ -0,0 +1,56 @@
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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.OpenAI;
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using OpenAI;
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#pragma warning disable OPENAI001 // 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 endpoint = Environment.GetEnvironmentVariable("AZUREOPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZUREOPENAI_ENDPOINT is not set.");
|
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var deploymentName = System.Environment.GetEnvironmentVariable("AZUREOPENAI_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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|
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async Task SKAgent()
|
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{
|
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OpenAIResponseAgent agent = new(new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential())
|
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.GetOpenAIResponseClient(deploymentName));
|
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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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await foreach (ChatMessageContent responseItem in agent.InvokeAsync(userInput))
|
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{
|
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if (!string.IsNullOrWhiteSpace(responseItem.Content))
|
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{
|
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Console.WriteLine(responseItem);
|
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}
|
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}
|
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}
|
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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())
|
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.GetChatClient(deploymentName)
|
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.CreateAIAgent(instructions: "You are a helpful assistant", tools: [AIFunctionFactory.Create(GetWeather)]);
|
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|
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Console.WriteLine("\n=== AF Agent Response ===\n");
|
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|
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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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+24
@@ -0,0 +1,24 @@
|
||||
<Project Sdk="Microsoft.NET.Sdk">
|
||||
|
||||
<PropertyGroup>
|
||||
<OutputType>Exe</OutputType>
|
||||
<TargetFramework>net9.0</TargetFramework>
|
||||
<ImplicitUsings>enable</ImplicitUsings>
|
||||
<Nullable>enable</Nullable>
|
||||
<NoWarn>$(NoWarn);CA1812;RCS1102;CA1707</NoWarn>
|
||||
</PropertyGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<PackageReference Include="System.Linq.Async" />
|
||||
<PackageReference Include="Microsoft.Extensions.DependencyInjection.Abstractions" />
|
||||
<PackageReference Include="Microsoft.SemanticKernel" VersionOverride="1.*" />
|
||||
<PackageReference Include="Microsoft.SemanticKernel.Agents.OpenAI" VersionOverride="1.*-*" />
|
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<PackageReference Include="Microsoft.SemanticKernel.Agents.Core" VersionOverride="1.*" />
|
||||
</ItemGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents.Abstractions\Microsoft.Extensions.AI.Agents.Abstractions.csproj" />
|
||||
<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents.OpenAI\Microsoft.Extensions.AI.Agents.OpenAI.csproj" />
|
||||
</ItemGroup>
|
||||
|
||||
</Project>
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+56
@@ -0,0 +1,56 @@
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// Copyright (c) Microsoft. All rights reserved.
|
||||
|
||||
using Azure.AI.OpenAI;
|
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using Azure.Identity;
|
||||
using Microsoft.Extensions.AI;
|
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using Microsoft.Extensions.AI.Agents;
|
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using Microsoft.Extensions.DependencyInjection;
|
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using Microsoft.SemanticKernel.Agents.OpenAI;
|
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using OpenAI;
|
||||
|
||||
#pragma warning disable OPENAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
|
||||
|
||||
var endpoint = Environment.GetEnvironmentVariable("AZUREOPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZUREOPENAI_ENDPOINT is not set.");
|
||||
var deploymentName = System.Environment.GetEnvironmentVariable("AZUREOPENAI_DEPLOYMENT_NAME") ?? "gpt-4o";
|
||||
var userInput = "Tell me a joke about a pirate.";
|
||||
|
||||
Console.WriteLine($"User Input: {userInput}");
|
||||
|
||||
await SKAgent();
|
||||
await AFAgent();
|
||||
|
||||
async Task SKAgent()
|
||||
{
|
||||
Console.WriteLine("\n=== SK Agent ===\n");
|
||||
|
||||
var serviceCollection = new ServiceCollection();
|
||||
serviceCollection.AddTransient<Microsoft.SemanticKernel.Agents.Agent>((sp)
|
||||
=> new OpenAIResponseAgent(new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential())
|
||||
.GetOpenAIResponseClient(deploymentName))
|
||||
{
|
||||
Name = "Joker",
|
||||
Instructions = "You are good at telling jokes."
|
||||
});
|
||||
|
||||
await using ServiceProvider serviceProvider = serviceCollection.BuildServiceProvider();
|
||||
var agent = serviceProvider.GetRequiredService<Microsoft.SemanticKernel.Agents.Agent>();
|
||||
|
||||
var result = await agent.InvokeAsync(userInput).FirstAsync();
|
||||
Console.WriteLine(result.Message);
|
||||
}
|
||||
|
||||
async Task AFAgent()
|
||||
{
|
||||
Console.WriteLine("\n=== AF Agent ===\n");
|
||||
|
||||
var serviceCollection = new ServiceCollection();
|
||||
serviceCollection.AddTransient((sp) => new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential())
|
||||
.GetChatClient(deploymentName)
|
||||
.CreateAIAgent(name: "Joker", instructions: "You are good at telling jokes."));
|
||||
|
||||
await using ServiceProvider serviceProvider = serviceCollection.BuildServiceProvider();
|
||||
var agent = serviceProvider.GetRequiredService<AIAgent>();
|
||||
|
||||
var result = await agent.RunAsync(userInput);
|
||||
Console.WriteLine(result);
|
||||
}
|
||||
+24
@@ -0,0 +1,24 @@
|
||||
<Project Sdk="Microsoft.NET.Sdk">
|
||||
|
||||
<PropertyGroup>
|
||||
<OutputType>Exe</OutputType>
|
||||
<TargetFramework>net9.0</TargetFramework>
|
||||
<ImplicitUsings>enable</ImplicitUsings>
|
||||
<Nullable>enable</Nullable>
|
||||
<NoWarn>$(NoWarn);CA1812;RCS1102;CA1707</NoWarn>
|
||||
</PropertyGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<PackageReference Include="System.Linq.Async" />
|
||||
<PackageReference Include="Microsoft.Extensions.DependencyInjection.Abstractions" />
|
||||
<PackageReference Include="Microsoft.SemanticKernel" VersionOverride="1.*" />
|
||||
<PackageReference Include="Microsoft.SemanticKernel.Agents.OpenAI" VersionOverride="1.*-*" />
|
||||
<PackageReference Include="Microsoft.SemanticKernel.Agents.Core" VersionOverride="1.*" />
|
||||
</ItemGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents.Abstractions\Microsoft.Extensions.AI.Agents.Abstractions.csproj" />
|
||||
<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents.OpenAI\Microsoft.Extensions.AI.Agents.OpenAI.csproj" />
|
||||
</ItemGroup>
|
||||
|
||||
</Project>
|
||||
@@ -0,0 +1,64 @@
|
||||
// Copyright (c) Microsoft. All rights reserved.
|
||||
|
||||
using Microsoft.Extensions.AI.Agents;
|
||||
using Microsoft.SemanticKernel.Agents.OpenAI;
|
||||
using OpenAI;
|
||||
|
||||
#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.
|
||||
#pragma warning disable OPENAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
|
||||
|
||||
var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
|
||||
var modelId = System.Environment.GetEnvironmentVariable("OPENAI_MODELID") ?? "gpt-4o";
|
||||
var userInput = "Tell me a joke about a pirate.";
|
||||
|
||||
Console.WriteLine($"User Input: {userInput}");
|
||||
|
||||
await SKAgent();
|
||||
await AFAgent();
|
||||
|
||||
async Task SKAgent()
|
||||
{
|
||||
Console.WriteLine("\n=== SK Agent ===\n");
|
||||
|
||||
OpenAIResponseAgent agent = new(new OpenAIClient(apiKey).GetOpenAIResponseClient(modelId))
|
||||
{
|
||||
Name = "Joker",
|
||||
Instructions = "You are good at telling jokes.",
|
||||
};
|
||||
|
||||
var agentOptions = new OpenAIResponseAgentInvokeOptions() { ResponseCreationOptions = new() { MaxOutputTokenCount = 1000 } };
|
||||
|
||||
Microsoft.SemanticKernel.Agents.AgentThread? thread = null;
|
||||
await foreach (var item in agent.InvokeAsync(userInput, thread, agentOptions))
|
||||
{
|
||||
Console.WriteLine(item.Message);
|
||||
}
|
||||
|
||||
Console.WriteLine("---");
|
||||
await foreach (var item in agent.InvokeStreamingAsync(userInput, thread, agentOptions))
|
||||
{
|
||||
// Thread need to be updated for subsequent calls
|
||||
thread = item.Thread;
|
||||
Console.Write(item.Message);
|
||||
}
|
||||
}
|
||||
|
||||
async Task AFAgent()
|
||||
{
|
||||
Console.WriteLine("\n=== AF Agent ===\n");
|
||||
|
||||
var agent = new OpenAIClient(apiKey).GetOpenAIResponseClient(modelId)
|
||||
.CreateAIAgent(name: "Joker", instructions: "You are good at telling jokes.");
|
||||
|
||||
var thread = agent.GetNewThread();
|
||||
var agentOptions = new ChatClientAgentRunOptions(new() { MaxOutputTokens = 8000 });
|
||||
|
||||
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);
|
||||
}
|
||||
}
|
||||
+24
@@ -0,0 +1,24 @@
|
||||
<Project Sdk="Microsoft.NET.Sdk">
|
||||
|
||||
<PropertyGroup>
|
||||
<OutputType>Exe</OutputType>
|
||||
<TargetFramework>net9.0</TargetFramework>
|
||||
<ImplicitUsings>enable</ImplicitUsings>
|
||||
<Nullable>enable</Nullable>
|
||||
<NoWarn>$(NoWarn);CA1812;RCS1102;CA1707</NoWarn>
|
||||
</PropertyGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<PackageReference Include="System.Linq.Async" />
|
||||
<PackageReference Include="Microsoft.Extensions.DependencyInjection.Abstractions" />
|
||||
<PackageReference Include="Microsoft.SemanticKernel" VersionOverride="1.*" />
|
||||
<PackageReference Include="Microsoft.SemanticKernel.Agents.OpenAI" VersionOverride="1.*-*" />
|
||||
<PackageReference Include="Microsoft.SemanticKernel.Agents.Core" VersionOverride="1.*" />
|
||||
</ItemGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents.Abstractions\Microsoft.Extensions.AI.Agents.Abstractions.csproj" />
|
||||
<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents.OpenAI\Microsoft.Extensions.AI.Agents.OpenAI.csproj" />
|
||||
</ItemGroup>
|
||||
|
||||
</Project>
|
||||
+162
@@ -0,0 +1,162 @@
|
||||
// Copyright (c) Microsoft. All rights reserved.
|
||||
|
||||
using Microsoft.Extensions.AI;
|
||||
using Microsoft.Extensions.AI.Agents;
|
||||
using Microsoft.SemanticKernel;
|
||||
using Microsoft.SemanticKernel.Agents.OpenAI;
|
||||
using Microsoft.SemanticKernel.ChatCompletion;
|
||||
using OpenAI;
|
||||
|
||||
#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.
|
||||
#pragma warning disable OPENAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
|
||||
|
||||
var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
|
||||
var modelId = System.Environment.GetEnvironmentVariable("OPENAI_MODELID") ?? "o4-mini";
|
||||
var userInput =
|
||||
"""
|
||||
Instructions:
|
||||
- Given the React component below, think about it and change it so that nonfiction books have red
|
||||
text.
|
||||
- Return only the code in your reply
|
||||
- Do not include any additional formatting, such as markdown code blocks
|
||||
- For formatting, use four space tabs, and do not allow any lines of code to
|
||||
exceed 80 columns
|
||||
const books = [
|
||||
{ title: 'Dune', category: 'fiction', id: 1 },
|
||||
{ title: 'Frankenstein', category: 'fiction', id: 2 },
|
||||
{ title: 'Moneyball', category: 'nonfiction', id: 3 },
|
||||
];
|
||||
export default function BookList() {
|
||||
const listItems = books.map(book =>
|
||||
<li>
|
||||
{book.title}
|
||||
</li>
|
||||
);
|
||||
return (
|
||||
<ul>{listItems}</ul>
|
||||
);
|
||||
}
|
||||
""";
|
||||
|
||||
Console.WriteLine($"User Input: {userInput}");
|
||||
|
||||
await SKAgent();
|
||||
await AFAgent();
|
||||
|
||||
async Task SKAgent()
|
||||
{
|
||||
Console.WriteLine("\n=== SK Agent ===\n");
|
||||
|
||||
OpenAIResponseAgent agent = new(new OpenAIClient(apiKey).GetOpenAIResponseClient(modelId))
|
||||
{
|
||||
Name = "Joker",
|
||||
Instructions = "You are good at telling jokes.",
|
||||
};
|
||||
|
||||
var agentOptions = new OpenAIResponseAgentInvokeOptions()
|
||||
{
|
||||
ResponseCreationOptions = new()
|
||||
{
|
||||
MaxOutputTokenCount = 8000,
|
||||
ReasoningOptions = new()
|
||||
{
|
||||
ReasoningEffortLevel = OpenAI.Responses.ResponseReasoningEffortLevel.High,
|
||||
ReasoningSummaryVerbosity = OpenAI.Responses.ResponseReasoningSummaryVerbosity.Detailed
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
Microsoft.SemanticKernel.Agents.AgentThread? thread = null;
|
||||
await foreach (var item in agent.InvokeAsync(userInput, thread, agentOptions))
|
||||
{
|
||||
foreach (var content in item.Message.Items)
|
||||
{
|
||||
// Currently SK Responses Agent doesn't distinguish thinking from non-thinking content in non-streaming mode.
|
||||
// SK Bugfix WIP: https://github.com/microsoft/semantic-kernel/issues/13046
|
||||
if (content is ReasoningContent thinking)
|
||||
{
|
||||
Console.Write($"Thinking: \n{thinking}\n---\n");
|
||||
}
|
||||
else if (content is Microsoft.SemanticKernel.TextContent text)
|
||||
{
|
||||
Console.Write($"Assistant: {text}");
|
||||
}
|
||||
}
|
||||
Console.WriteLine(item.Message);
|
||||
}
|
||||
|
||||
Console.WriteLine("---");
|
||||
var userMessage = new ChatMessageContent(AuthorRole.User, userInput);
|
||||
await foreach (var item in agent.InvokeStreamingAsync(userMessage, thread, agentOptions))
|
||||
{
|
||||
thread = item.Thread;
|
||||
foreach (var content in item.Message.Items)
|
||||
{
|
||||
// Currently SK Agent doesn't output thinking in streaming mode.
|
||||
// SK Bugfix WIP: https://github.com/microsoft/semantic-kernel/issues/13046
|
||||
if (content is StreamingReasoningContent thinking)
|
||||
{
|
||||
Console.WriteLine($"Thinking: [{thinking}]");
|
||||
continue;
|
||||
}
|
||||
|
||||
if (content is StreamingTextContent text)
|
||||
{
|
||||
Console.WriteLine($"Response: [{text}]");
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
async Task AFAgent()
|
||||
{
|
||||
Console.WriteLine("\n=== AF Agent ===\n");
|
||||
|
||||
var agent = new OpenAIClient(apiKey).GetOpenAIResponseClient(modelId)
|
||||
.CreateAIAgent(name: "Joker", instructions: "You are good at telling jokes.");
|
||||
|
||||
var thread = agent.GetNewThread();
|
||||
var agentOptions = new ChatClientAgentRunOptions(new()
|
||||
{
|
||||
MaxOutputTokens = 8000,
|
||||
// Microsoft.Extensions.AI currently does not have an abstraction for reasoning-effort,
|
||||
// we need to break glass using the RawRepresentationFactory.
|
||||
RawRepresentationFactory = (_) => new OpenAI.Responses.ResponseCreationOptions()
|
||||
{
|
||||
ReasoningOptions = new()
|
||||
{
|
||||
ReasoningEffortLevel = OpenAI.Responses.ResponseReasoningEffortLevel.High,
|
||||
ReasoningSummaryVerbosity = OpenAI.Responses.ResponseReasoningSummaryVerbosity.Detailed
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
var result = await agent.RunAsync(userInput, thread, agentOptions);
|
||||
|
||||
// Retrieve the thinking as a full text block requires flattening multiple TextReasoningContents from multiple messages content lists.
|
||||
string assistantThinking = string.Join("\n", result.Messages
|
||||
.SelectMany(m => m.Contents)
|
||||
.OfType<TextReasoningContent>()
|
||||
.Select(trc => trc.Text));
|
||||
|
||||
var assistantText = result.Text;
|
||||
Console.WriteLine($"Thinking: \n{assistantThinking}\n---\n");
|
||||
Console.WriteLine($"Assistant: \n{assistantText}\n---\n");
|
||||
|
||||
Console.WriteLine("---");
|
||||
await foreach (var update in agent.RunStreamingAsync(userInput, thread, agentOptions))
|
||||
{
|
||||
var thinkingContents = update.Contents
|
||||
.OfType<TextReasoningContent>()
|
||||
.Select(trc => trc.Text)
|
||||
.ToList();
|
||||
|
||||
if (thinkingContents.Count != 0)
|
||||
{
|
||||
Console.WriteLine($"Thinking: [{string.Join("\n", thinkingContents)}]");
|
||||
continue;
|
||||
}
|
||||
|
||||
Console.WriteLine($"Response: [{update.Text}]");
|
||||
}
|
||||
}
|
||||
+24
@@ -0,0 +1,24 @@
|
||||
<Project Sdk="Microsoft.NET.Sdk">
|
||||
|
||||
<PropertyGroup>
|
||||
<OutputType>Exe</OutputType>
|
||||
<TargetFramework>net9.0</TargetFramework>
|
||||
<ImplicitUsings>enable</ImplicitUsings>
|
||||
<Nullable>enable</Nullable>
|
||||
<NoWarn>$(NoWarn);CA1812;RCS1102;CA1707;CA1050;CA1052</NoWarn>
|
||||
</PropertyGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<PackageReference Include="System.Linq.Async" />
|
||||
<PackageReference Include="Microsoft.Extensions.DependencyInjection.Abstractions" />
|
||||
<PackageReference Include="Microsoft.SemanticKernel" VersionOverride="1.*" />
|
||||
<PackageReference Include="Microsoft.SemanticKernel.Agents.OpenAI" VersionOverride="1.*-*" />
|
||||
<PackageReference Include="Microsoft.SemanticKernel.Agents.Core" VersionOverride="1.*" />
|
||||
</ItemGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents.Abstractions\Microsoft.Extensions.AI.Agents.Abstractions.csproj" />
|
||||
<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents.OpenAI\Microsoft.Extensions.AI.Agents.OpenAI.csproj" />
|
||||
</ItemGroup>
|
||||
|
||||
</Project>
|
||||
@@ -0,0 +1,55 @@
|
||||
// Copyright (c) Microsoft. All rights reserved.
|
||||
|
||||
using System.ComponentModel;
|
||||
using Microsoft.Extensions.AI;
|
||||
using Microsoft.SemanticKernel;
|
||||
using Microsoft.SemanticKernel.Agents.OpenAI;
|
||||
using OpenAI;
|
||||
|
||||
#pragma warning disable OPENAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
|
||||
|
||||
var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
|
||||
var modelId = System.Environment.GetEnvironmentVariable("OPENAI_MODELID") ?? "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)
|
||||
=> $"The weather in {location} is cloudy with a high of 15°C.";
|
||||
|
||||
await SKAgent();
|
||||
await AFAgent();
|
||||
|
||||
async Task SKAgent()
|
||||
{
|
||||
var builder = Kernel.CreateBuilder().AddOpenAIChatClient(modelId, apiKey);
|
||||
|
||||
OpenAIResponseAgent agent = new(new OpenAIClient(apiKey).GetOpenAIResponseClient(modelId));
|
||||
|
||||
// Initialize plugin and add to the agent's Kernel (same as direct Kernel usage).
|
||||
agent.Kernel.Plugins.Add(KernelPluginFactory.CreateFromFunctions("KernelPluginName", [KernelFunctionFactory.CreateFromMethod(GetWeather)]));
|
||||
|
||||
Console.WriteLine("\n=== SK Agent Response ===\n");
|
||||
|
||||
await foreach (ChatMessageContent responseItem in agent.InvokeAsync(userInput))
|
||||
{
|
||||
if (!string.IsNullOrWhiteSpace(responseItem.Content))
|
||||
{
|
||||
Console.WriteLine(responseItem);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
async Task AFAgent()
|
||||
{
|
||||
var agent = new OpenAIClient(apiKey).GetChatClient(modelId).CreateAIAgent(
|
||||
instructions: "You are a helpful assistant",
|
||||
tools: [AIFunctionFactory.Create(GetWeather)]);
|
||||
|
||||
Console.WriteLine("\n=== AF Agent Response ===\n");
|
||||
|
||||
var result = await agent.RunAsync(userInput);
|
||||
Console.WriteLine(result);
|
||||
}
|
||||
+24
@@ -0,0 +1,24 @@
|
||||
<Project Sdk="Microsoft.NET.Sdk">
|
||||
|
||||
<PropertyGroup>
|
||||
<OutputType>Exe</OutputType>
|
||||
<TargetFramework>net9.0</TargetFramework>
|
||||
<ImplicitUsings>enable</ImplicitUsings>
|
||||
<Nullable>enable</Nullable>
|
||||
<NoWarn>$(NoWarn);CA1812;RCS1102;CA1707</NoWarn>
|
||||
</PropertyGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<PackageReference Include="System.Linq.Async" />
|
||||
<PackageReference Include="Microsoft.Extensions.DependencyInjection.Abstractions" />
|
||||
<PackageReference Include="Microsoft.SemanticKernel" VersionOverride="1.*" />
|
||||
<PackageReference Include="Microsoft.SemanticKernel.Agents.OpenAI" VersionOverride="1.*-*" />
|
||||
<PackageReference Include="Microsoft.SemanticKernel.Agents.Core" VersionOverride="1.*" />
|
||||
</ItemGroup>
|
||||
|
||||
<ItemGroup>
|
||||
<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents.Abstractions\Microsoft.Extensions.AI.Agents.Abstractions.csproj" />
|
||||
<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents.OpenAI\Microsoft.Extensions.AI.Agents.OpenAI.csproj" />
|
||||
</ItemGroup>
|
||||
|
||||
</Project>
|
||||
+53
@@ -0,0 +1,53 @@
|
||||
// Copyright (c) Microsoft. All rights reserved.
|
||||
|
||||
using Microsoft.Extensions.AI;
|
||||
using Microsoft.Extensions.AI.Agents;
|
||||
using Microsoft.Extensions.DependencyInjection;
|
||||
using Microsoft.SemanticKernel.Agents.OpenAI;
|
||||
using OpenAI;
|
||||
|
||||
#pragma warning disable OPENAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
|
||||
|
||||
var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
|
||||
var modelId = System.Environment.GetEnvironmentVariable("OPENAI_MODELID") ?? "gpt-4o";
|
||||
var userInput = "Tell me a joke about a pirate.";
|
||||
|
||||
Console.WriteLine($"User Input: {userInput}");
|
||||
|
||||
await SKAgent();
|
||||
await AFAgent();
|
||||
|
||||
async Task SKAgent()
|
||||
{
|
||||
Console.WriteLine("\n=== SK Agent ===\n");
|
||||
|
||||
var serviceCollection = new ServiceCollection();
|
||||
serviceCollection.AddTransient<Microsoft.SemanticKernel.Agents.Agent>((sp)
|
||||
=> new OpenAIResponseAgent(new OpenAIClient(apiKey).GetOpenAIResponseClient(modelId))
|
||||
{
|
||||
Name = "Joker",
|
||||
Instructions = "You are good at telling jokes."
|
||||
});
|
||||
|
||||
await using ServiceProvider serviceProvider = serviceCollection.BuildServiceProvider();
|
||||
var agent = serviceProvider.GetRequiredService<Microsoft.SemanticKernel.Agents.Agent>();
|
||||
|
||||
var result = await agent.InvokeAsync(userInput).FirstAsync();
|
||||
Console.WriteLine(result.Message);
|
||||
}
|
||||
|
||||
async Task AFAgent()
|
||||
{
|
||||
Console.WriteLine("\n=== AF Agent ===\n");
|
||||
|
||||
var serviceCollection = new ServiceCollection();
|
||||
serviceCollection.AddTransient((sp) => new OpenAIClient(apiKey)
|
||||
.GetChatClient(modelId)
|
||||
.CreateAIAgent(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);
|
||||
}
|
||||
@@ -346,6 +346,10 @@ To run any migration sample, navigate to the desired sample directory:
|
||||
cd "AzureAIFoundry\Step01_Basics"
|
||||
dotnet run
|
||||
|
||||
# Azure OpenAI Examples
|
||||
cd "AzureOpenAI\Step01_Basics"
|
||||
dotnet run
|
||||
|
||||
# OpenAI Examples
|
||||
cd "OpenAI\Step01_Basics"
|
||||
dotnet run
|
||||
@@ -354,6 +358,9 @@ dotnet run
|
||||
cd "OpenAIAssistants\Step01_Basics"
|
||||
dotnet run
|
||||
|
||||
# OpenAI Responses Examples
|
||||
cd "OpenAIResponses\Step01_Basics"
|
||||
|
||||
# Azure OpenAI Examples
|
||||
cd "AzureOpenAI\Step01_Basics"
|
||||
dotnet run
|
||||
|
||||
@@ -11,6 +11,7 @@ using System.Text;
|
||||
using System.Text.Json;
|
||||
using System.Text.Json.Nodes;
|
||||
using System.Text.Json.Serialization;
|
||||
using System.Text.Json.Serialization.Metadata;
|
||||
using Microsoft.Shared.Diagnostics;
|
||||
using OpenAI.Responses;
|
||||
|
||||
@@ -26,6 +27,9 @@ namespace Microsoft.Extensions.AI;
|
||||
/// <summary>Represents an <see cref="IChatClient"/> for an <see cref="OpenAIResponseClient"/>.</summary>
|
||||
internal sealed class NewOpenAIResponsesChatClient : IChatClient
|
||||
{
|
||||
/// <summary>Type info for serializing and deserializing arbitrary JSON objects.</summary>
|
||||
private static readonly JsonTypeInfo s_jsonTypeInfo = AIJsonUtilities.DefaultOptions.GetTypeInfo(typeof(object));
|
||||
|
||||
/// <summary>Metadata about the client.</summary>
|
||||
private readonly ChatClientMetadata _metadata;
|
||||
|
||||
@@ -324,8 +328,24 @@ internal sealed class NewOpenAIResponsesChatClient : IChatClient
|
||||
break;
|
||||
|
||||
default:
|
||||
{
|
||||
// Capture streaming thinking contents
|
||||
if (streamingUpdate.GetType().Name == "InternalResponseReasoningSummaryTextDeltaEvent")
|
||||
{
|
||||
var updateJson = JsonSerializer.Deserialize<JsonElement>(
|
||||
JsonSerializer.Serialize(streamingUpdate, s_jsonTypeInfo),
|
||||
OpenAIJsonContext2.Default.JsonElement);
|
||||
|
||||
if (updateJson.TryGetProperty("delta", out var deltaProperty))
|
||||
{
|
||||
yield return CreateUpdate(new TextReasoningContent(deltaProperty.GetString()));
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
yield return CreateUpdate();
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user