agent-framework/python/samples/04-hosting/azure_functions

These are common instructions for setting up your environment for every sample in this directory. These samples illustrate the Durable extensibility for 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 AI Foundry project with an OpenAI model deployment. Note the Foundry project endpoint and deployment name, and ensure you can authenticate with AzureCliCredential.

• 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

Using uv (recommended):

Windows (PowerShell):

uv venv .venv
.venv\Scripts\Activate.ps1

Linux/macOS:

uv venv .venv
source .venv/bin/activate

Note: python -m venv .venv also works, but can hang indefinitely on Windows with Microsoft Store Python due to a known ensurepip issue. Use uv venv .venv to avoid this.

3. Running the samples

• Start the Azurite emulator

• Inside each sample:

  • Install Python dependencies – from the sample directory, 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 FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL. The samples use AzureCliCredential, so ensure you're logged in via az login.

    • 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 each sample's README for scenario-specific steps, and use its demo.http file (or provided curl examples) to trigger the hosted HTTP endpoints.