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| { | ||
| "cells": [ | ||
| { | ||
| "attachments": {}, | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "# Introduction to the Function Calling\n", | ||
| "\n", | ||
| "The most powerful feature of chat completion is the ability to call functions from the model. This allows you to create a chat bot that can interact with your existing code, making it possible to automate business processes, create code snippets, and more.\n", | ||
| "\n", | ||
| "With Semantic Kernel, we simplify the process of using function calling by automatically describing your functions and their parameters to the model and then handling the back-and-forth communication between the model and your code.\n", | ||
| "\n", | ||
| "Read more about it [here](https://learn.microsoft.com/en-us/semantic-kernel/concepts/ai-services/chat-completion/function-calling)." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": { | ||
| "dotnet_interactive": { | ||
| "language": "csharp" | ||
| }, | ||
| "polyglot_notebook": { | ||
| "kernelName": "csharp" | ||
| } | ||
| }, | ||
| "outputs": [], | ||
| "source": [ | ||
| "#r \"nuget: Microsoft.SemanticKernel, 1.23.0\"\n", | ||
| "\n", | ||
| "#!import config/Settings.cs\n", | ||
| "#!import config/Utils.cs\n", | ||
| "\n", | ||
| "using Microsoft.SemanticKernel;\n", | ||
| "using Microsoft.SemanticKernel.Connectors.OpenAI;\n", | ||
| "using Kernel = Microsoft.SemanticKernel.Kernel;\n", | ||
| "\n", | ||
| "var builder = Kernel.CreateBuilder();\n", | ||
| "\n", | ||
| "// Configure AI backend used by the kernel\n", | ||
| "var (useAzureOpenAI, model, azureEndpoint, apiKey, orgId) = Settings.LoadFromFile();\n", | ||
| "\n", | ||
| "if (useAzureOpenAI)\n", | ||
| " builder.AddAzureOpenAIChatCompletion(model, azureEndpoint, apiKey);\n", | ||
| "else\n", | ||
| " builder.AddOpenAIChatCompletion(model, apiKey, orgId);\n", | ||
| "\n", | ||
| "var kernel = builder.Build();" | ||
| ] | ||
| }, | ||
| { | ||
| "attachments": {}, | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "### Setting Up Execution Settings" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Using `FunctionChoiceBehavior.Auto()` will enable automatic function calling. There are also other options like `Required` or `None` which allow to control function calling behavior. More information about it can be found [here](https://learn.microsoft.com/en-gb/semantic-kernel/concepts/ai-services/chat-completion/function-calling/function-choice-behaviors?pivots=programming-language-csharp)." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 10, | ||
| "metadata": { | ||
| "dotnet_interactive": { | ||
| "language": "csharp" | ||
| }, | ||
| "polyglot_notebook": { | ||
| "kernelName": "csharp" | ||
| } | ||
| }, | ||
| "outputs": [], | ||
| "source": [ | ||
| "#pragma warning disable SKEXP0001\n", | ||
| "\n", | ||
| "OpenAIPromptExecutionSettings openAIPromptExecutionSettings = new() \n", | ||
| "{\n", | ||
| " FunctionChoiceBehavior = FunctionChoiceBehavior.Auto()\n", | ||
| "};" | ||
| ] | ||
| }, | ||
| { | ||
| "attachments": {}, | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "### Providing plugins to the Kernel\n", | ||
| "Function calling needs an information about available plugins/functions. Here we'll import the `SummarizePlugin` and `WriterPlugin` we have defined on disk." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 11, | ||
| "metadata": { | ||
| "dotnet_interactive": { | ||
| "language": "csharp" | ||
| }, | ||
| "polyglot_notebook": { | ||
| "kernelName": "csharp" | ||
| } | ||
| }, | ||
| "outputs": [], | ||
| "source": [ | ||
| "var pluginsDirectory = Path.Combine(System.IO.Directory.GetCurrentDirectory(), \"..\", \"..\", \"prompt_template_samples\");\n", | ||
| "\n", | ||
| "kernel.ImportPluginFromPromptDirectory(Path.Combine(pluginsDirectory, \"SummarizePlugin\"));\n", | ||
| "kernel.ImportPluginFromPromptDirectory(Path.Combine(pluginsDirectory, \"WriterPlugin\"));" | ||
| ] | ||
| }, | ||
| { | ||
| "attachments": {}, | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Define your ASK. What do you want the Kernel to do?" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 12, | ||
| "metadata": { | ||
| "dotnet_interactive": { | ||
| "language": "csharp" | ||
| }, | ||
| "polyglot_notebook": { | ||
| "kernelName": "csharp" | ||
| } | ||
| }, | ||
| "outputs": [], | ||
| "source": [ | ||
| "var ask = \"Tomorrow is Valentine's day. I need to come up with a few date ideas. My significant other likes poems so write them in the form of a poem.\";" | ||
| ] | ||
| }, | ||
| { | ||
| "attachments": {}, | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Since we imported available plugins to Kernel and defined the ask, we can now invoke a prompt with all the provided information. \n", | ||
| "\n", | ||
| "We can run function calling with Kernel, if we are interested in result only." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": { | ||
| "dotnet_interactive": { | ||
| "language": "csharp" | ||
| }, | ||
| "polyglot_notebook": { | ||
| "kernelName": "csharp" | ||
| } | ||
| }, | ||
| "outputs": [], | ||
| "source": [ | ||
| "var result = await kernel.InvokePromptAsync(ask, new(openAIPromptExecutionSettings));\n", | ||
| "\n", | ||
| "Console.WriteLine(result);" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "But we can also run it with `IChatCompletionService` to have an access to `ChatHistory` object, which allows us to see which functions were called as part of a function calling process. Note that passing a Kernel as a parameter to `GetChatMessageContentAsync` method is required, since Kernel holds an information about available plugins." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "using Microsoft.SemanticKernel.ChatCompletion;\n", | ||
| "\n", | ||
| "var chatCompletionService = kernel.GetRequiredService<IChatCompletionService>();\n", | ||
| "\n", | ||
| "var chatHistory = new ChatHistory();\n", | ||
| "\n", | ||
| "chatHistory.AddUserMessage(ask);\n", | ||
| "\n", | ||
| "var chatCompletionResult = await chatCompletionService.GetChatMessageContentAsync(chatHistory, openAIPromptExecutionSettings, kernel);\n", | ||
| "\n", | ||
| "Console.WriteLine($\"Result: {chatCompletionResult}\\n\");\n", | ||
| "Console.WriteLine($\"Chat history: {JsonSerializer.Serialize(chatHistory)}\\n\");" | ||
| ] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": ".NET (C#)", | ||
| "language": "C#", | ||
| "name": ".net-csharp" | ||
| }, | ||
| "language_info": { | ||
| "name": "polyglot-notebook" | ||
| }, | ||
| "polyglot_notebook": { | ||
| "kernelInfo": { | ||
| "defaultKernelName": "csharp", | ||
| "items": [ | ||
| { | ||
| "aliases": [], | ||
| "name": "csharp" | ||
| } | ||
| ] | ||
| } | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 2 | ||
| } |
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