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Semantic Kernel C# Notebooks

The current folder contains a few C# Jupyter Notebooks that demonstrate how to get started with the Semantic Kernel. The notebooks are organized in order of increasing complexity.

To run the notebooks, we recommend the following steps:

The steps above should be sufficient, you can now open all the C# notebooks in VS Code.

VS Code screenshot example:

image

Set your OpenAI API key

To start using these notebooks, be sure to add the appropriate API keys to config/settings.json.

You can create the file manually or run the Setup notebook.

For Azure OpenAI:

{
  "type": "azure",
  "model": "...", // Azure OpenAI Deployment Name
  "endpoint": "...", // Azure OpenAI endpoint
  "apikey": "..." // Azure OpenAI key
}

For OpenAI:

{
  "type": "openai",
  "model": "gpt-3.5-turbo", // OpenAI model name
  "apikey": "...", // OpenAI API Key
  "org": "" // only for OpenAI accounts with multiple orgs
}

If you need an Azure OpenAI key, go here. If you need an OpenAI key, go here

Topics

Before starting, make sure you configured config/settings.json, see the previous section.

For a quick dive, look at the getting started notebook.

  1. Loading and configuring Semantic Kernel
  2. Running AI prompts from file
  3. Creating Semantic Functions at runtime (i.e. inline functions)
  4. Using Kernel Arguments to Build a Chat Experience
  5. Creating and Executing Plans
  6. Building Memory with Embeddings
  7. Creating images with DALL-E 3
  8. Chatting with ChatGPT and Images
  9. Building Semantic Memory with Chroma
  10. BingSearch using Kernel

Run notebooks in the browser with JupyterLab

You can run the notebooks also in the browser with JupyterLab. These steps should be sufficient to start:

Install Python 3, Pip and .NET 8 in your system, then:

pip install jupyterlab
dotnet tool install -g Microsoft.dotnet-interactive
dotnet tool update -g Microsoft.dotnet-interactive
dotnet interactive jupyter install

This command will confirm that Jupyter now supports C# notebooks:

jupyter kernelspec list

Enter the notebooks folder, and run this to launch the browser interface:

jupyter-lab

image

Troubleshooting

Nuget

If you are unable to get the Nuget package, first list your Nuget sources:

dotnet nuget list source

If you see No sources found., add the NuGet official package source:

dotnet nuget add source "https://api.nuget.org/v3/index.json" --name "nuget.org"

Run dotnet nuget list source again to verify the source was added.

Polyglot Notebooks

If somehow the notebooks don't work, run these commands:

Note: "Polyglot Notebooks" used to be called ".NET Interactive Notebooks", so you might find online some documentation referencing the old name.