> ## Documentation Index
> Fetch the complete documentation index at: https://sambanova-systems.mintlify.site/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Semantic Kernel integration guide

Semantic Kernel is an open-source development tool that allows you to build agents and integrate the latest AI models into your codebase.

## Prerequisites

Before getting started, ensure you have:

* A [SambaCloud account](http://cloud.sambanova.ai/?utm_source=semantickernel\&utm_medium=external\&utm_campaign=cloud_signup) and API key.
* Python 3.10 or later.

## Installation and setup

1. Create a virtual environment.

   ```bash theme={null}
   python -m venv .venv
   source .venv/bin/activate
   ```

2. Install the required libraries.

   ```bash theme={null}
   pip install semantic-kernel jupyter ipykernel
   ```

## Example notebook

Follow along with the [Semantic Kernel example notebook](https://github.com/sambanova/integrations/blob/main/semantic_kernel/agents_solving_task.ipynb) to create agents that can function as art directors and copywriters, helping automate creative tasks with advanced AI capabilities.

## Additional resources

* [Semantic Kernel documentation](https://learn.microsoft.com/en-us/semantic-kernel/)