dotnet/notebooks/00-getting-started.ipynb

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   "source": [
    "#### Watch the Getting Started Quick Start [Video](https://aka.ms/SK-Getting-Started-Notebook)\n",
    "\n",
    "> [!IMPORTANT]\n",
    "> You will need an [.NET 8 SDK](https://dotnet.microsoft.com/en-us/download/dotnet/8.0) and [Polyglot](https://marketplace.visualstudio.com/items?itemName=ms-dotnettools.dotnet-interactive-vscode) to get started with this notebook using .NET Interactive."
   ]
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  {
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   "source": [
    "**Step 1**: Configure your AI service credentials\n",
    "\n",
    "Use [this notebook](0-AI-settings.ipynb) first, to choose whether to run these notebooks with OpenAI or Azure OpenAI,\n",
    "and to save your credentials in the configuration file."
   ]
  },
  {
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   "execution_count": null,
   "metadata": {
    "dotnet_interactive": {
     "language": "csharp"
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    "polyglot_notebook": {
     "kernelName": "csharp"
    }
   },
   "outputs": [],
   "source": [
    "// Load some helper functions, e.g. to load values from settings.json\n",
    "#!import config/Settings.cs "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Step 2**: Import Semantic Kernel SDK from NuGet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "dotnet_interactive": {
     "language": "csharp"
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    "polyglot_notebook": {
     "kernelName": "csharp"
    }
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   "outputs": [],
   "source": [
    "// Import Semantic Kernel\n",
    "#r \"nuget: Microsoft.SemanticKernel, 1.0.1\""
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Step 3**: Instantiate the Kernel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "dotnet_interactive": {
     "language": "csharp"
    },
    "polyglot_notebook": {
     "kernelName": "csharp"
    }
   },
   "outputs": [],
   "source": [
    "using Microsoft.SemanticKernel;\n",
    "using Kernel = Microsoft.SemanticKernel.Kernel;\n",
    "\n",
    "//Create Kernel builder\n",
    "var builder = Kernel.CreateBuilder();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "dotnet_interactive": {
     "language": "csharp"
    },
    "polyglot_notebook": {
     "kernelName": "csharp"
    }
   },
   "outputs": [],
   "source": [
    "// Configure AI service credentials 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": [
    "**Step 4**: Load and Run a Plugin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "dotnet_interactive": {
     "language": "csharp"
    },
    "polyglot_notebook": {
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    }
   },
   "outputs": [],
   "source": [
    "// FunPlugin directory path\n",
    "var funPluginDirectoryPath = Path.Combine(System.IO.Directory.GetCurrentDirectory(), \"..\", \"..\", \"samples\", \"plugins\", \"FunPlugin\");\n",
    "\n",
    "// Load the FunPlugin from the Plugins Directory\n",
    "var funPluginFunctions = kernel.ImportPluginFromPromptDirectory(funPluginDirectoryPath);\n",
    "\n",
    "// Construct arguments\n",
    "var arguments = new KernelArguments() { [\"input\"] = \"time travel to dinosaur age\" };\n",
    "\n",
    "// Run the Function called Joke\n",
    "var result = await kernel.InvokeAsync(funPluginFunctions[\"Joke\"], arguments);\n",
    "\n",
    "// Return the result to the Notebook\n",
    "Console.WriteLine(result);"
   ]
  }
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