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2 changes: 1 addition & 1 deletion app/backend/requirements.txt
Original file line number Diff line number Diff line change
Expand Up @@ -197,7 +197,7 @@ msal==1.30.0
# msal-extensions
msal-extensions==1.2.0
# via azure-identity
msgraph-core==1.1.8
msgraph-core==1.1.7
# via msgraph-sdk
msgraph-sdk==1.16.0
# via -r requirements.in
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2 changes: 1 addition & 1 deletion docs/azd.md
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Expand Up @@ -17,7 +17,7 @@ The `azd up` command uses the `azure.yaml` file combined with the infrastructure

Next, it provisions the resources based on `main.bicep` and `main.parameters.json`. At that point, since there is no default value for the OpenAI resource location, it asks you to pick a location from a short list of available regions. Then it will send requests to Azure to provision all the required resources. With everything provisioned, it runs the `postprovision` hook to process the local data and add it to an Azure AI Search index.

Finally, it looks at `azure.yaml` to determine the Azure host (appservice, in this case) and uploads the zip to Azure App Service. The `azd up` command is now complete, but it may take another 5-10 minutes for the App Service app to be fully available and working, especially for the initial deploy.
Finally, it looks at `azure.yaml` to determine the Azure host and uploads the zip to Azure App Service. The `azd up` command is now complete, but it may take another 5-10 minutes for the App Service app to be fully available and working, especially for the initial deploy.

Related commands are `azd provision` for just provisioning (if infra files change) and `azd deploy` for just deploying updated app code.

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