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@@ -58,7 +55,7 @@ For detailed instructions, see [Getting Started](#getting-started) below.
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> **IMPORTANT:** In order to deploy and run this example, you'll need an **Azure subscription with access enabled for the Azure OpenAI Service**. You can request access [here](https://aka.ms/oaiapply). You can also visit [here](https://azure.microsoft.com/free/) to get some free Azure credits to get you started.
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> [!CAUTION]
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> At time of writing AZD has introduced a bug in AKS deployment since 1.6.1. version.Monitor this [issue](https://github.com/Azure/azure-dev/issues/3486) to check in which version it will be fixed. In the meantime consider to use azd 1.5.1 to run the aks deployment. You can download it from [here](https://github.com/Azure/azure-dev/releases/download/azure-dev-cli_1.5.1/azd-windows-amd64.msi) or visit the azd [release page](https://github.com/Azure/azure-dev/releases) to download specific os bundle
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> Be sure to use AZD version > 1.7.0
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### Run in GitHub Codespaces or VS Code Dev Containers
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@@ -73,7 +70,7 @@ All prerequisites are already installed in the container. You can skip to the [S
-[Powershell 7+ (pwsh)](https://github.com/powershell/powershell) - For Windows users only.
@@ -108,11 +105,11 @@ Once you have the project available locally, run the following commands if you d
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- This will provision Azure resources and deploy this sample to those resources, including building the search index based on the files found in the `./data` folder.
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- For the target location, the regions that currently support the models used in this sample are **East US**, **France Central**, **South Central US**, **UK South**, and **West Europe**. For an up-to-date list of regions and models, check [here](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models)
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3. After the application has been successfully deployed you will see a frontend app URL printed to the console. Click that URL to interact with the application in your browser.
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3. After the application has been successfully deployed you will see a backend app load balancer IP printed to the console. Click that URL to interact with the application in your browser.
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It will look like the following:
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> NOTE: It may take a minute for the application to be fully deployed.
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@@ -246,7 +243,7 @@ To see the performance data, go to the Application Insights resource in your res
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To inspect the performance of chat requests, use the "Drill into Samples" button to see end-to-end traces of all the API calls made for any chat request.
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Under "Trace & Events" panel you can review custom Java informational logs to better understand content of OpenAI requests and responses.
To see any exceptions and server errors, navigate to the "Investigate -> Failures" blade and use the filtering tools to locate a specific exception. You can see Java stack traces on the right-hand side.
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#### Provision remaining resources
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Now you can run `azd up`, following the steps in [Deploying from scratch](#deploying-from-scratch) above.
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Now you can run `azd up`, following the steps in [Starting from scratch](#starting-from-scratch) above.
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That will both provision resources and deploy the code.
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@@ -280,7 +279,7 @@ Once saved, you will see dev and prod environment got automatically created unde
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Connect Azure Devops to Azure:
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1. Add a Service Connection following this [guide](https://learn.microsoft.com/en-us/azure/devops/pipelines/library/connect-to-azure?view=azure-devops) to allow Azure Devops pipeline to connect to your Azure resources /App Service.
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2. Modify `.azdo/pipelines/app-ci.yaml` '<azureSubscriptionServiceConnection>' and replace it with the name of the Service Connection.
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2. Modify `.azdo/pipelines/app-ci.yaml` '<azureSubscriptionServiceConnection>' and replace it with the name of the Service Connection.
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