Python: .Net: Add function calling with AzureAIInference sample

dotnet/samples/Concepts/FunctionCalling/AzureAIInference_FunctionCalling.cs

@@ -0,0 +1,50 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.SemanticKernel;
+
+namespace FunctionCalling;
+public class AzureAIInference_FunctionCalling(ITestOutputHelper output) : BaseTest(output)
+{
+    /// <summary>
+    /// This example demonstrates usage of <see cref="FunctionChoiceBehavior.Auto"/> that advertises all kernel functions to the AI model.
+    /// </summary>
+    [Fact]
+    public async Task FunctionCallingAsync()
+    {
+        var kernel = CreateKernel();
+        PromptExecutionSettings settings = new() { FunctionChoiceBehavior = FunctionChoiceBehavior.Auto() };
+        Console.WriteLine(await kernel.InvokePromptAsync("Given the current time of day and weather, what is the likely color of the sky in Boston?", new(settings)));
+    }
+
+    private static Kernel CreateKernel()
+    {
+        // Create kernel
+        var kernel = Kernel.CreateBuilder()
+            .AddAzureAIInferenceChatCompletion(
+                modelId: TestConfiguration.AzureAIInference.ChatModelId,
+                endpoint: new Uri(TestConfiguration.AzureAIInference.Endpoint),
+                apiKey: TestConfiguration.AzureAIInference.ApiKey)
+            .Build();
+
+        // Add a plugin with some helper functions we want to allow the model to call.
+        kernel.ImportPluginFromFunctions("HelperFunctions",
+        [
+            kernel.CreateFunctionFromMethod(() => new List<string> { "Squirrel Steals Show", "Dog Wins Lottery" }, "GetLatestNewsTitles", "Retrieves latest news titles."),
+            kernel.CreateFunctionFromMethod(() => DateTime.UtcNow.ToString("R"), "GetCurrentUtcDateTime", "Retrieves the current date time in UTC."),
+            kernel.CreateFunctionFromMethod((string cityName, string currentDateTime) =>
+                cityName switch
+                {
+                    "Boston" => "61 and rainy",
+                    "London" => "55 and cloudy",
+                    "Miami" => "80 and sunny",
+                    "Paris" => "60 and rainy",
+                    "Tokyo" => "50 and sunny",
+                    "Sydney" => "75 and sunny",
+                    "Tel Aviv" => "80 and sunny",
+                    _ => "31 and snowing",
+                }, "GetWeatherForCity", "Gets the current weather for the specified city"),
+        ]);
+
+        return kernel;
+    }
+}

dotnet/samples/Concepts/README.md

@@ -39,8 +39,9 @@ dotnet test -l "console;verbosity=detailed" --filter "FullyQualifiedName=ChatCom
 
 ### FunctionCalling - Examples on `Function Calling` with function call capable models
 
-- [Gemini_FunctionCalling](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/FunctionCalling/Gemini_FunctionCalling.cs)
 - [FunctionCalling](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/FunctionCalling/FunctionCalling.cs)
+- [Gemini_FunctionCalling](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/FunctionCalling/Gemini_FunctionCalling.cs)
+- [AzureAIInference_FunctionCalling](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/FunctionCalling/AzureAIInference_FunctionCalling.cs)
 - [NexusRaven_HuggingFaceTextGeneration](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/FunctionCalling/NexusRaven_FunctionCalling.cs)
 - [MultipleFunctionsVsParameters](https://github.com/microsoft/semantic-kernel/blob/main/dotnet/samples/Concepts/FunctionCalling/MultipleFunctionsVsParameters.cs)
 

python/samples/concepts/chat_completion/simple_chatbot_store_metadata.py

@@ -32,7 +32,7 @@
 
 # Create a chat history object with the system message.
 chat_history = ChatHistory(system_message=system_message)
-# Configure the store amd metadata settings for the chat completion service.
+# Configure the store and metadata settings for the chat completion service.
 request_settings.store = True
 request_settings.metadata = {"chatbot": "Mosscap"}