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Merge pull request #966 from microsoft/PSL-US-42390
docs: Readme and deployment doc update
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README.md

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Check the [Azure Products by Region](https://azure.microsoft.com/en-us/explore/global-infrastructure/products-by-region/table) page and select a **region** where the following services are available: Azure OpenAI Service, Azure AI Search, and Azure Semantic Search.
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Here are some example regions where the services are available: East US, East US2, Japan East, UK South, Sweden Central.
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Here are some example regions where the services are available: Australia East, East US2, France Central, Japan East, Norway East, Sweden Central, UK South, West US.
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Pricing varies per region and usage, so it isn't possible to predict exact costs for your usage. The majority of the Azure resources used in this infrastructure are on usage-based pricing tiers. However, Azure Container Registry has a fixed cost per registry per day.
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docs/CustomizingAzdParameters.md

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By default this template will use the environment name as the prefix to prevent naming collisions within Azure. The parameters below show the default values. You only need to run the statements below if you need to change the values.
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> To override any of the parameters, run `azd env set <PARAMETER_NAME> <VALUE>` before running `azd up`. On the first azd command, it will prompt you for the environment name. Be sure to choose 3-20 characters alphanumeric unique name.
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> To override any of the parameters, run `azd env set <PARAMETER_NAME> <VALUE>` before running `azd up`. On the first azd command, it will prompt you for the environment name. Be sure to choose 3-16 characters alphanumeric unique name.
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## Parameters
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| `AZURE_ENV_REASONING_MODEL_NAME` | string | `o4-mini` | Specifies the name of the reasoning GPT model to be deployed. |
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| `AZURE_ENV_REASONING_MODEL_VERSION` | string | `2025-04-16` | Version of the reasoning GPT model to be used for deployment. |
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| `AZURE_ENV_REASONING_MODEL_CAPACITY` | int | `50` | Sets the reasoning GPT model capacity. |
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| `AZURE_ENV_IMAGETAG` | string | `latest_v3` | Docker image tag used for container deployments. |
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| `AZURE_ENV_IMAGE_TAG` | string | `latest_v4` | Docker image tag used for container deployments. |
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| `AZURE_ENV_ENABLE_TELEMETRY` | bool | `true` | Enables telemetry for monitoring and diagnostics. |
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| `AZURE_EXISTING_AIPROJECT_RESOURCE_ID` | string | `<Existing Workspace Id>` | Set this if you want to reuse an AI Foundry Project instead of creating a new one. |
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| `AZURE_ENV_EXISTING_LOG_ANALYTICS_WORKSPACE_RID` | string | Guide to get your [Existing Workspace ID](re-use-log-analytics.md) | Set this if you want to reuse an existing Log Analytics Workspace instead of creating a new one. |

docs/azure_app_service_auth_setup.md

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![Add Provider](./images/azure-app-service-auth-setup/AppAuthIdentityProviderAdd.png)
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5. Accept the default values and click on `Add` button to go back to the previous page with the idenity provider added.
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5. Accept the default values and click on `Add` button to go back to the previous page with the identity provider added.
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![Add Provider](./images/azure-app-service-auth-setup/AppAuthIdentityProviderAdded.png)
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infra/main.parameters.json

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"value": "${AZURE_ENV_REASONING_MODEL_CAPACITY}"
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},
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"backendContainerImageTag": {
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"value": "${AZURE_ENV_IMAGE_TAG}"
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"value": "${AZURE_ENV_IMAGE_TAG=latest_v4}"
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},
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"frontendContainerImageTag": {
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"value": "${AZURE_ENV_IMAGE_TAG}"
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"value": "${AZURE_ENV_IMAGE_TAG=latest_v4}"
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},
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"MCPContainerImageTag": {
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"value": "${AZURE_ENV_IMAGE_TAG}"
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"value": "${AZURE_ENV_IMAGE_TAG=latest_v4}"
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},
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"enableTelemetry": {
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"value": "${AZURE_ENV_ENABLE_TELEMETRY}"

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