README.md

Using chat completions in Python

This sample demonstrates how to use chat history with the chat completion service to generate a chat-like interface with Azure OpenAI in Semantic Kernel.

System requirements

• Python 3.12 or later
• Visual Studio Code
• Access to Azure OpenAI

Setting up the virtual environment

This sample uses a virtual environment to manage dependencies. To set up the virtual environment, run the following commands:

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

For Windows users, the commands are slightly different:

python -m venv .venv
.venv\Scripts\activate
pip install -r requirements.txt

Running the sample

Make sure to deploy GPT-4o in your Azure OpenAI resource and name the deployment gpt-4o. Next, create a new file named .env in the root directory of the sample and add the following variables:

Variable	Description
APP_DEPLOYMENT_NAME	The name of the deployment
APP_API_KEY	The API key of your Azure OpenAI resource
APP_ENDPOINT	The endpoint of your Azure OpenAI resource

You can find a sample .env file in the .env.example file.

To run the sample, execute the following command:

python main.py