agent-framework/python/samples/getting_started/azure_functions

These are common starting instructions for how to set up your environment for all the samples in this directory. These samples are for illustrating the use of the Durable extensibility to Agent Framework running in Azure Functions.

All of these samples are set up to run in Azure Functions. Azure Functions has a local development tool called CoreTools which we will set up to run these samples locally.

Environment Setup

1. Install dependencies and create appropriate services

• Install Azure Functions Core Tools 4.x

• Install Azurite storage emulator

• Create an Azure OpenAI resource. Note the Azure OpenAI endpoint, deployment name and the Key.

• Install a tool to execute HTTP calls, for example the REST Client extension

• [Optionally] Create an Azure Function Python app to later deploy your app to Azure if you so desire.

2. Create and activate a virtual environment

Windows (PowerShell):

python -m venv .venv
.venv\Scripts\Activate.ps1

Linux/macOS:

python -m venv .venv
source .venv/bin/activate

3. Running the samples

• Start the Azurite emulator

• Inside each sample:

  • Install Python dependencies – from this folder, run pip install -r requirements.txt (or the equivalent in your active virtual environment).

  • Copy local.settings.json.template to local.settings.json, then update AZURE_OPENAI_ENDPOINT, AZURE_OPENAI_CHAT_DEPLOYMENT_NAME, and AZURE_OPENAI_API_KEY so the Azure OpenAI SDK can authenticate; keep TASKHUB_NAME set to default unless you plan to change the durable task hub name.

• Run the command func start from the root of the sample

• Follow the specific instructions/requests for each sample