Examples to use Azure with LLMs for Chat and learn how to use Azure OpenAI Service to create powerful AI-powered chat applications.

Use the requirements.txt to install all dependencies

python -m venv .venv
./.venv/bin/pip install -r requirements.txt

Find the Azure OpenAI Keys in the Azure OpenAI Service. Note, that keys aren't in the studio, but in the resource itself. Add them to a local .env file. This repository ignores the .env file to prevent you (and me) from adding these keys by mistake.

Your .env file should look like this:

# Azure OpenAI 
OPENAI_API_TYPE="azure"
OPENAI_API_BASE="https://demo-alfredo-openai.openai.azure.com/"
OPENAI_API_KEY="0asd8924yl87asljhsd823lkjahsdf234"
OPENAI_API_VERSION="2023-07-01-preview"

# Azure Cognitive Search
AZURE_COGNITIVE_SEARCH_SERVICE_NAME="https://demo-alfredo.search.windows.net"
AZURE_COGNITIVE_SEARCH_API_KEY="zlkjhasd876lkjh234978sg098srtiuy"
AZURE_COGNITIVE_SEARCH_INDEX_NAME="demo-index"

Note that the Azure Cognitive Search is only needed if you are following the Retrieval Augmented Guidance (RAG) demo. It isn't required for a simple Chat application.