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Python: Fix AzureFunctions Integration Tests (#2116)

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* Add Identity Auth to samples

* Update python/samples/getting_started/azure_functions/README.md

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/samples/getting_started/azure_functions/01_single_agent/function_app.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/samples/getting_started/azure_functions/02_multi_agent/function_app.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/README.md

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
This commit is contained in:
Laveesh Rohra
2025-11-12 09:13:23 -08:00
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parent 2329bd4841
commit ebab25b196
24 changed files with 126 additions and 234 deletions
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python/samples/getting_started/azure_functions/README.md
+9 -8
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@@ -1,5 +1,5 @@
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.
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](https://learn.microsoft.com/azure/azure-functions/functions-run-local?tabs=windows%2Cpython%2Cv2&pivots=programming-language-python#install-the-azure-functions-core-tools) which we will set up to run these samples locally.
@@ -11,7 +11,7 @@ All of these samples are set up to run in Azure Functions. Azure Functions has a
- Install [Azurite storage emulator](https://learn.microsoft.com/en-us/azure/storage/common/storage-install-azurite?toc=%2Fazure%2Fstorage%2Fblobs%2Ftoc.json&bc=%2Fazure%2Fstorage%2Fblobs%2Fbreadcrumb%2Ftoc.json&tabs=visual-studio%2Cblob-storage)
- Create an [Azure OpenAI](https://azure.microsoft.com/en-us/products/ai-foundry/models/openai) resource. Note the Azure OpenAI endpoint, deployment name and the Key.
- Create an [Azure OpenAI](https://azure.microsoft.com/en-us/products/ai-foundry/models/openai) resource. Note the Azure OpenAI endpoint, deployment name, and the key (or ensure you can authenticate with `AzureCliCredential`).
- Install a tool to execute HTTP calls, for example the [REST Client extension](https://marketplace.visualstudio.com/items?itemName=humao.rest-client)
@@ -37,11 +37,12 @@ source .venv/bin/activate
- Inside each sample:
- Install Python dependencies – from this folder, run `pip install -r requirements.txt` (or the equivalent in your active virtual environment).
- 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 `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.
- Copy `local.settings.json.template` to `local.settings.json`, then update `AZURE_OPENAI_ENDPOINT` and `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME` for Azure OpenAI authentication. The samples use `AzureCliCredential` by default, so ensure you're logged in via `az login`.
- Alternatively, you can use API key authentication by setting `AZURE_OPENAI_API_KEY` and updating the code to use `AzureOpenAIChatClient()` without the credential parameter.
- 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
- Run the command `func start` from the root of the sample
- Follow the specific instructions/requests for each 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.