microsoft--semantic-kernel/python/samples/learn_resources

SK Python Documentation Examples

This project contains a collection of examples used in documentation on learn.microsoft.com.

Prerequisites

• Python 3.10 and above
• Install Semantic Kernel through PyPi:

  pip install semantic-kernel
  

Configuring the sample

The samples can be configured with a .env file in the project which holds api keys and other secrets and configurations.

Make sure you have an Open AI API Key or Azure Open AI service key

Copy the .env.example file to a new file named .env. Then, copy those keys into the .env file:

GLOBAL_LLM_SERVICE="OpenAI" # Toggle between "OpenAI" or "AzureOpenAI"

OPENAI_CHAT_MODEL_ID="gpt-3.5-turbo-0125"
OPENAI_TEXT_MODEL_ID="gpt-3.5-turbo-instruct"
OPENAI_API_KEY=""
OPENAI_ORG_ID=""

AZURE_OPENAI_CHAT_DEPLOYMENT_NAME="gpt-35-turbo"
AZURE_OPENAI_TEXT_DEPLOYMENT_NAME="gpt-35-turbo-instruct"
AZURE_OPENAI_ENDPOINT=""
AZURE_OPENAI_API_KEY=""
AZURE_OPENAI_API_VERSION=""

Note: if running the examples with VSCode, it will look for your .env file at the main root of the repository.

Running the sample

To run the console application within Visual Studio Code, just hit F5. Otherwise the sample can be run via the command line:

python.exe <absolute_path_to_sk_code>/python/samples/learn_resources/plugin.py