[.Net] add sample on how to make function call using lite llm and ollama Plus move ollama openai sample to AutoGen.OpenAI.Sample project

dotnet/AutoGen.sln

@@ -61,6 +61,8 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "AutoGen.Gemini.Sample", "sa
 EndProject
 Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "AutoGen.AotCompatibility.Tests", "test\AutoGen.AotCompatibility.Tests\AutoGen.AotCompatibility.Tests.csproj", "{6B82F26D-5040-4453-B21B-C8D1F913CE4C}"
 EndProject
+Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "AutoGen.OpenAI.Sample", "sample\AutoGen.OpenAI.Sample\AutoGen.OpenAI.Sample.csproj", "{0E635268-351C-4A6B-A28D-593D868C2CA4}"
+EndProject
 Global
 	GlobalSection(SolutionConfigurationPlatforms) = preSolution
 		Debug|Any CPU = Debug|Any CPU
@@ -171,6 +173,10 @@ Global
 		{6B82F26D-5040-4453-B21B-C8D1F913CE4C}.Debug|Any CPU.Build.0 = Debug|Any CPU
 		{6B82F26D-5040-4453-B21B-C8D1F913CE4C}.Release|Any CPU.ActiveCfg = Release|Any CPU
 		{6B82F26D-5040-4453-B21B-C8D1F913CE4C}.Release|Any CPU.Build.0 = Release|Any CPU
+		{0E635268-351C-4A6B-A28D-593D868C2CA4}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
+		{0E635268-351C-4A6B-A28D-593D868C2CA4}.Debug|Any CPU.Build.0 = Debug|Any CPU
+		{0E635268-351C-4A6B-A28D-593D868C2CA4}.Release|Any CPU.ActiveCfg = Release|Any CPU
+		{0E635268-351C-4A6B-A28D-593D868C2CA4}.Release|Any CPU.Build.0 = Release|Any CPU
 	EndGlobalSection
 	GlobalSection(SolutionProperties) = preSolution
 		HideSolutionNode = FALSE
@@ -202,6 +208,7 @@ Global
 		{8EA16BAB-465A-4C07-ABC4-1070D40067E9} = {F823671B-3ECA-4AE6-86DA-25E920D3FE64}
 		{19679B75-CE3A-4DF0-A3F0-CA369D2760A4} = {FBFEAD1F-29EB-4D99-A672-0CD8473E10B9}
 		{6B82F26D-5040-4453-B21B-C8D1F913CE4C} = {F823671B-3ECA-4AE6-86DA-25E920D3FE64}
+		{0E635268-351C-4A6B-A28D-593D868C2CA4} = {FBFEAD1F-29EB-4D99-A672-0CD8473E10B9}
 	EndGlobalSection
 	GlobalSection(ExtensibilityGlobals) = postSolution
 		SolutionGuid = {93384647-528D-46C8-922C-8DB36A382F0B}

dotnet/sample/AutoGen.OpenAI.Sample/AutoGen.OpenAI.Sample.csproj

@@ -0,0 +1,21 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFramework>net8.0</TargetFramework>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <GenerateDocumentationFile>True</GenerateDocumentationFile>
+    <NoWarn>$(NoWarn);CS8981;CS8600;CS8602;CS8604;CS8618;CS0219;SKEXP0054;SKEXP0050;SKEXP0110</NoWarn>
+    <IncludeResourceFolder>true</IncludeResourceFolder>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\src\AutoGen.DotnetInteractive\AutoGen.DotnetInteractive.csproj" />
+    <ProjectReference Include="..\..\src\AutoGen.Ollama\AutoGen.Ollama.csproj" />
+    <ProjectReference Include="..\..\src\AutoGen.SourceGenerator\AutoGen.SourceGenerator.csproj" OutputItemType="Analyzer" ReferenceOutputAssembly="false" />
+    <ProjectReference Include="..\..\src\AutoGen\AutoGen.csproj" />
+    <PackageReference Include="FluentAssertions" Version="$(FluentAssertionVersion)" />
+  </ItemGroup>
+
+</Project>

dotnet/sample/AutoGen.OpenAI.Sample/Connect_To_Ollama.cs

@@ -0,0 +1,61 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Example16_OpenAIChatAgent_ConnectToThirdPartyBackend.cs
+#region using_statement
+using AutoGen.Core;
+using AutoGen.OpenAI.Extension;
+using Azure.AI.OpenAI;
+using Azure.Core.Pipeline;
+#endregion using_statement
+
+namespace AutoGen.OpenAI.Sample;
+
+#region CustomHttpClientHandler
+public sealed class CustomHttpClientHandler : HttpClientHandler
+{
+    private string _modelServiceUrl;
+
+    public CustomHttpClientHandler(string modelServiceUrl)
+    {
+        _modelServiceUrl = modelServiceUrl;
+    }
+
+    protected override Task<HttpResponseMessage> SendAsync(HttpRequestMessage request, CancellationToken cancellationToken)
+    {
+        request.RequestUri = new Uri($"{_modelServiceUrl}{request.RequestUri.PathAndQuery}");
+
+        return base.SendAsync(request, cancellationToken);
+    }
+}
+#endregion CustomHttpClientHandler
+
+public class Connect_To_Ollama
+{
+    public static async Task RunAsync()
+    {
+        #region create_agent
+        using var client = new HttpClient(new CustomHttpClientHandler("http://localhost:11434"));
+        var option = new OpenAIClientOptions(OpenAIClientOptions.ServiceVersion.V2024_04_01_Preview)
+        {
+            Transport = new HttpClientTransport(client),
+        };
+
+        // api-key is not required for local server
+        // so you can use any string here
+        var openAIClient = new OpenAIClient("api-key", option);
+        var model = "llama3";
+
+        var agent = new OpenAIChatAgent(
+            openAIClient: openAIClient,
+            name: "assistant",
+            modelName: model,
+            systemMessage: "You are a helpful assistant designed to output JSON.",
+            seed: 0)
+            .RegisterMessageConnector()
+            .RegisterPrintMessage();
+        #endregion create_agent
+
+        #region send_message
+        await agent.SendAsync("Can you write a piece of C# code to calculate 100th of fibonacci?");
+        #endregion send_message
+    }
+}

dotnet/sample/AutoGen.OpenAI.Sample/Program.cs

@@ -0,0 +1,6 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Program.cs
+
+using AutoGen.OpenAI.Sample;
+
+Tool_Call_With_Ollama_And_LiteLLM.RunAsync().Wait();

dotnet/sample/AutoGen.OpenAI.Sample/Tool_Call_With_Ollama_And_LiteLLM.cs

@@ -0,0 +1,55 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Tool_Call_With_Ollama_And_LiteLLM.cs
+
+using AutoGen.Core;
+using AutoGen.OpenAI.Extension;
+using Azure.AI.OpenAI;
+using Azure.Core.Pipeline;
+
+namespace AutoGen.OpenAI.Sample;
+
+public partial class Function
+{
+    [Function]
+    public async Task<string> GetWeatherAsync(string city)
+    {
+        return await Task.FromResult("The weather in " + city + " is 72 degrees and sunny.");
+    }
+}
+public class Tool_Call_With_Ollama_And_LiteLLM
+{
+    public static async Task RunAsync()
+    {
+        #region Create_Agent
+        var liteLLMUrl = "http://localhost:4000";
+        using var httpClient = new HttpClient(new CustomHttpClientHandler(liteLLMUrl));
+        var option = new OpenAIClientOptions(OpenAIClientOptions.ServiceVersion.V2024_04_01_Preview)
+        {
+            Transport = new HttpClientTransport(httpClient),
+        };
+
+        var functions = new Function();
+        var functionMiddleware = new FunctionCallMiddleware(
+            functions: [functions.GetWeatherAsyncFunctionContract],
+            functionMap: new Dictionary<string, Func<string, Task<string>>>
+            {
+                { functions.GetWeatherAsyncFunctionContract.Name!, functions.GetWeatherAsyncWrapper },
+            });
+
+        // api-key is not required for local server
+        // so you can use any string here
+        var openAIClient = new OpenAIClient("api-key", option);
+
+        var agent = new OpenAIChatAgent(
+            openAIClient: openAIClient,
+            name: "assistant",
+            modelName: "placeholder",
+            systemMessage: "You are a helpful AI assistant")
+            .RegisterMessageConnector()
+            .RegisterMiddleware(functionMiddleware)
+            .RegisterPrintMessage();
+
+        var reply = await agent.SendAsync("what's the weather in new york");
+        #endregion Create_Agent
+    }
+}