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‎README.md‎

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@@ -52,6 +52,12 @@ Offers ability to [start with an existing Azure AI Project](docs/transfer_projec
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6. If leveraging [One-click deployment](#quick-deploy).
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7. If leveraging [GitHub Actions](docs/github_actions_steps.md).
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### Check Azure OpenAI Quota Availability
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To ensure sufficient quota is available in your subscription, please follow **[quota check instructions guide](./docs/quota_check.md)** before deploying the solution.
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### Services Enabled
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For additional documentation of the default enabled services of this solution accelerator, please see:
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1. [Azure Open AI Service](https://learn.microsoft.com/en-us/azure/ai-services/openai/)
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### Region Availability
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By default, this template uses AI models which may not be available in all Azure regions. Check for [up-to-date region availability](https://learn.microsoft.com/azure/ai-services/openai/concepts/models#standard-deployment-model-availability) and select a region during deployment accordingly.
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By default, this template uses AI models which may not be available in all Azure regions. Please follow [quota check instructions guide](./docs/quota_check.md) before deploying the solution. Additionally, check for [up-to-date region availability](https://learn.microsoft.com/azure/ai-services/openai/concepts/models#standard-deployment-model-availability) and select a region during deployment accordingly.
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### Costs
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This template has [Managed Identity](https://learn.microsoft.com/entra/identity/managed-identities-azure-resources/overview) built in to eliminate the need for developers to manage these credentials. Applications can use managed identities to obtain Microsoft Entra tokens without having to manage any credentials.
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## Resources
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- [Azure AI Foundry documentation](https://learn.microsoft.com/en-us/azure/ai-studio/)
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- [Azure Well Architecture Framework documentation](https://learn.microsoft.com/en-us/azure/well-architected/)
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- [Azure OpenAI Service - Documentation, quickstarts, API reference - Azure AI services | Microsoft Learn](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/use-your-data)
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- [Azure AI Content Understanding documentation](https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/)
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---
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## Disclaimers

‎docs/quota_check.md‎

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# Check Quota Availability Before Deployment
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Before deploying the accelerator, **ensure sufficient quota availability** for the required model.
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> **We recommend increasing the capacity to 100k tokens for optimal performance.**
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## Login if you have not done so already
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```
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azd auth login
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```
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## 📌 Default Models & Capacities:
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```
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gpt-4o:30, gpt-4o-mini:30, gpt-4:30, text-embedding-ada-002:80
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```
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## 📌 Default Regions:
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```
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eastus, uksouth, eastus2, northcentralus, swedencentral, westus, westus2, southcentralus, canadacentral
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```
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## Usage Scenarios:
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- No parameters passed → Default models and capacities will be checked in default regions.
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- Only model(s) provided → The script will check for those models in the default regions.
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- Only region(s) provided → The script will check default models in the specified regions.
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- Both models and regions provided → The script will check those models in the specified regions.
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- `--verbose` passed → Enables detailed logging output for debugging and traceability.
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## **Input Formats**
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> Use the --models, --regions, and --verbose options for parameter handling:
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✔️ Run without parameters to check default models & regions without verbose logging:
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```
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./quota_check.sh
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```
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✔️ Enable verbose logging:
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```
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./quota_check.sh --verbose
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```
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✔️ Check specific model(s) in default regions:
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```
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./quota_check.sh --models gpt-4o:30,text-embedding-ada-002:80
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```
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✔️ Check default models in specific region(s):
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```
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./quota_check.sh --regions eastus,westus
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```
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✔️ Passing Both models and regions:
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```
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./quota_check.sh --models gpt-4o:30 --regions eastus,westus2
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```
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✔️ All parameters combined:
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```
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./quota_check.sh --models gpt-4:30,text-embedding-ada-002:80 --regions eastus,westus --verbose
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```
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## **Sample Output**
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The final table lists regions with available quota. You can select any of these regions for deployment.
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![quota-check-output](../img/Documentation/quota-check-output.png)
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---
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## **If using Azure Portal and Cloud Shell**
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1. Navigate to the [Azure Portal](https://portal.azure.com).
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2. Click on **Azure Cloud Shell** in the top right navigation menu.
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3. Run the appropriate command based on your requirement:
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**To check quota for the deployment**
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```sh
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curl -L -o quota_check.sh "https://raw.githubusercontent.com/microsoft/Deploy-Your-AI-Application-In-Production/main/scripts/quota_check.sh"
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chmod +x quota_check.sh
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./quota_check.sh
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```
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- Refer to [Input Formats](#input-formats) for detailed commands.
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## **If using VS Code or Codespaces**
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1. Open the terminal in VS Code or Codespaces.
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2. If you're using VS Code, click the dropdown on the right side of the terminal window, and select `Git Bash`.
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![git_bash](Images/git_bash.png)
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3. Navigate to the `scripts` folder where the script files are located and make the script as executable:
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```sh
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cd scripts
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chmod +x quota_check.sh
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```
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4. Run the appropriate script based on your requirement:
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**To check quota for the deployment**
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```sh
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./quota_check.sh
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```
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- Refer to [Input Formats](#input-formats) for detailed commands.
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5. If you see the error `_bash: az: command not found_`, install Azure CLI:
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```sh
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curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash
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az login
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```
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6. Rerun the script after installing Azure CLI.

‎img/Documentation/quota-check-output.png‎

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‎scripts/quota_check.sh‎

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#!/bin/bash
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# VERBOSE=false
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MODELS=""
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REGIONS=""
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VERBOSE=false
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while [[ $# -gt 0 ]]; do
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case "$1" in
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--models)
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MODELS="$2"
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shift 2
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;;
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--regions)
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REGIONS="$2"
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shift 2
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;;
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--verbose)
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VERBOSE=true
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shift
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;;
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*)
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echo "Unknown option: $1"
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exit 1
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;;
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esac
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done
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# Fallback to defaults if not provided
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[[ -z "$MODELS" ]]
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[[ -z "$REGIONS" ]]
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echo "Models: $MODELS"
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echo "Regions: $REGIONS"
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echo "Verbose: $VERBOSE"
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for arg in "$@"; do
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if [ "$arg" = "--verbose" ]; then
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VERBOSE=true
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fi
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done
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log_verbose() {
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if [ "$VERBOSE" = true ]; then
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echo "$1"
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fi
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}
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# Default Models and Capacities (Comma-separated in "model:capacity" format)
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DEFAULT_MODEL_CAPACITY="gpt-4o:30,gpt-4o-mini:30,gpt-4:30,text-embedding-ada-002:80"
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# Convert the comma-separated string into an array
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IFS=',' read -r -a MODEL_CAPACITY_PAIRS <<< "$DEFAULT_MODEL_CAPACITY"
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echo "🔄 Fetching available Azure subscriptions..."
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SUBSCRIPTIONS=$(az account list --query "[?state=='Enabled'].{Name:name, ID:id}" --output tsv)
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SUB_COUNT=$(echo "$SUBSCRIPTIONS" | wc -l)
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if [ "$SUB_COUNT" -eq 0 ]; then
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echo "❌ ERROR: No active Azure subscriptions found. Please log in using 'az login' and ensure you have an active subscription."
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exit 1
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elif [ "$SUB_COUNT" -eq 1 ]; then
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# If only one subscription, automatically select it
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AZURE_SUBSCRIPTION_ID=$(echo "$SUBSCRIPTIONS" | awk '{print $2}')
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if [ -z "$AZURE_SUBSCRIPTION_ID" ]; then
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echo "❌ ERROR: No active Azure subscriptions found. Please log in using 'az login' and ensure you have an active subscription."
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exit 1
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fi
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echo "✅ Using the only available subscription: $AZURE_SUBSCRIPTION_ID"
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else
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# If multiple subscriptions exist, prompt the user to choose one
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echo "Multiple subscriptions found:"
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echo "$SUBSCRIPTIONS" | awk '{print NR")", $1, "-", $2}'
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while true; do
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echo "Enter the number of the subscription to use:"
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read SUB_INDEX
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# Validate user input
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if [[ "$SUB_INDEX" =~ ^[0-9]+$ ]] && [ "$SUB_INDEX" -ge 1 ] && [ "$SUB_INDEX" -le "$SUB_COUNT" ]; then
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AZURE_SUBSCRIPTION_ID=$(echo "$SUBSCRIPTIONS" | awk -v idx="$SUB_INDEX" 'NR==idx {print $2}')
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echo "✅ Selected Subscription: $AZURE_SUBSCRIPTION_ID"
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break
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else
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echo "❌ Invalid selection. Please enter a valid number from the list."
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fi
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done
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fi
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# Set the selected subscription
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az account set --subscription "$AZURE_SUBSCRIPTION_ID"
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echo "🎯 Active Subscription: $(az account show --query '[name, id]' --output tsv)"
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# Default Regions to check (Comma-separated, now configurable)
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DEFAULT_REGIONS="eastus,uksouth,eastus2,northcentralus,swedencentral,westus,westus2,southcentralus,canadacentral"
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IFS=',' read -r -a DEFAULT_REGION_ARRAY <<< "$DEFAULT_REGIONS"
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# Read parameters (if any)
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IFS=',' read -r -a USER_PROVIDED_PAIRS <<< "$MODELS"
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USER_REGION="$REGIONS"
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IS_USER_PROVIDED_PAIRS=false
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if [ ${#USER_PROVIDED_PAIRS[@]} -lt 1 ]; then
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echo "No parameters provided, using default model-capacity pairs: ${MODEL_CAPACITY_PAIRS[*]}"
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else
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echo "Using provided model and capacity pairs: ${USER_PROVIDED_PAIRS[*]}"
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IS_USER_PROVIDED_PAIRS=true
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MODEL_CAPACITY_PAIRS=("${USER_PROVIDED_PAIRS[@]}")
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fi
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declare -a FINAL_MODEL_NAMES
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declare -a FINAL_CAPACITIES
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declare -a TABLE_ROWS
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for PAIR in "${MODEL_CAPACITY_PAIRS[@]}"; do
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MODEL_NAME=$(echo "$PAIR" | cut -d':' -f1 | tr '[:upper:]' '[:lower:]')
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CAPACITY=$(echo "$PAIR" | cut -d':' -f2)
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if [ -z "$MODEL_NAME" ] || [ -z "$CAPACITY" ]; then
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echo "❌ ERROR: Invalid model and capacity pair '$PAIR'. Both model and capacity must be specified."
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exit 1
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fi
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FINAL_MODEL_NAMES+=("$MODEL_NAME")
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FINAL_CAPACITIES+=("$CAPACITY")
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done
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echo "🔄 Using Models: ${FINAL_MODEL_NAMES[*]} with respective Capacities: ${FINAL_CAPACITIES[*]}"
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echo "----------------------------------------"
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# Check if the user provided a region, if not, use the default regions
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if [ -n "$USER_REGION" ]; then
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echo "🔍 User provided region: $USER_REGION"
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IFS=',' read -r -a REGIONS <<< "$USER_REGION"
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else
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echo "No region specified, using default regions: ${DEFAULT_REGION_ARRAY[*]}"
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REGIONS=("${DEFAULT_REGION_ARRAY[@]}")
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APPLY_OR_CONDITION=true
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fi
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echo "✅ Retrieved Azure regions. Checking availability..."
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INDEX=1
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VALID_REGIONS=()
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for REGION in "${REGIONS[@]}"; do
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log_verbose "----------------------------------------"
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log_verbose "🔍 Checking region: $REGION"
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QUOTA_INFO=$(az cognitiveservices usage list --location "$REGION" --output json | tr '[:upper:]' '[:lower:]')
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if [ -z "$QUOTA_INFO" ]; then
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log_verbose "⚠️ WARNING: Failed to retrieve quota for region $REGION. Skipping."
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continue
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fi
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TEXT_EMBEDDING_AVAILABLE=false
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AT_LEAST_ONE_MODEL_AVAILABLE=false
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TEMP_TABLE_ROWS=()
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for index in "${!FINAL_MODEL_NAMES[@]}"; do
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MODEL_NAME="${FINAL_MODEL_NAMES[$index]}"
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REQUIRED_CAPACITY="${FINAL_CAPACITIES[$index]}"
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FOUND=false
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INSUFFICIENT_QUOTA=false
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if [ "$MODEL_NAME" = "text-embedding-ada-002" ]; then
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MODEL_TYPES=("openai.standard.$MODEL_NAME")
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else
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MODEL_TYPES=("openai.standard.$MODEL_NAME" "openai.globalstandard.$MODEL_NAME")
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fi
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for MODEL_TYPE in "${MODEL_TYPES[@]}"; do
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FOUND=false
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INSUFFICIENT_QUOTA=false
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log_verbose "🔍 Checking model: $MODEL_NAME with required capacity: $REQUIRED_CAPACITY ($MODEL_TYPE)"
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MODEL_INFO=$(echo "$QUOTA_INFO" | awk -v model="\"value\": \"$MODEL_TYPE\"" '
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BEGIN { RS="},"; FS="," }
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$0 ~ model { print $0 }
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')
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if [ -z "$MODEL_INFO" ]; then
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FOUND=false
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log_verbose "⚠️ WARNING: No quota information found for model: $MODEL_NAME in region: $REGION for model type: $MODEL_TYPE."
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continue
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fi
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if [ -n "$MODEL_INFO" ]; then
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FOUND=true
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CURRENT_VALUE=$(echo "$MODEL_INFO" | awk -F': ' '/"currentvalue"/ {print $2}' | tr -d ',' | tr -d ' ')
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LIMIT=$(echo "$MODEL_INFO" | awk -F': ' '/"limit"/ {print $2}' | tr -d ',' | tr -d ' ')
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CURRENT_VALUE=${CURRENT_VALUE:-0}
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LIMIT=${LIMIT:-0}
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CURRENT_VALUE=$(echo "$CURRENT_VALUE" | cut -d'.' -f1)
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LIMIT=$(echo "$LIMIT" | cut -d'.' -f1)
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AVAILABLE=$((LIMIT - CURRENT_VALUE))
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log_verbose "✅ Model: $MODEL_TYPE | Used: $CURRENT_VALUE | Limit: $LIMIT | Available: $AVAILABLE"
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if [ "$AVAILABLE" -ge "$REQUIRED_CAPACITY" ]; then
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FOUND=true
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if [ "$MODEL_NAME" = "text-embedding-ada-002" ]; then
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TEXT_EMBEDDING_AVAILABLE=true
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fi
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AT_LEAST_ONE_MODEL_AVAILABLE=true
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TEMP_TABLE_ROWS+=("$(printf "| %-4s | %-20s | %-43s | %-10s | %-10s | %-10s |" "$INDEX" "$REGION" "$MODEL_TYPE" "$LIMIT" "$CURRENT_VALUE" "$AVAILABLE")")
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else
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INSUFFICIENT_QUOTA=true
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fi
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fi
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if [ "$FOUND" = false ]; then
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log_verbose "❌ No models found for model: $MODEL_NAME in region: $REGION (${MODEL_TYPES[*]})"
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elif [ "$INSUFFICIENT_QUOTA" = true ]; then
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log_verbose "⚠️ Model $MODEL_NAME in region: $REGION has insufficient quota (${MODEL_TYPES[*]})."
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fi
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done
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done
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if { [ "$IS_USER_PROVIDED_PAIRS" = true ] && [ "$INSUFFICIENT_QUOTA" = false ] && [ "$FOUND" = true ]; } || { [ "$TEXT_EMBEDDING_AVAILABLE" = true ] && { [ "$APPLY_OR_CONDITION" != true ] || [ "$AT_LEAST_ONE_MODEL_AVAILABLE" = true ]; }; }; then
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VALID_REGIONS+=("$REGION")
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TABLE_ROWS+=("${TEMP_TABLE_ROWS[@]}")
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INDEX=$((INDEX + 1))
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elif [ ${#USER_PROVIDED_PAIRS[@]} -eq 0 ]; then
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echo "🚫 Skipping $REGION as it does not meet quota requirements."
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fi
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done
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if [ ${#TABLE_ROWS[@]} -eq 0 ]; then
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echo "--------------------------------------------------------------------------------------------------------------------"
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echo "❌ No regions have sufficient quota for all required models. Please request a quota increase: https://aka.ms/oai/stuquotarequest"
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else
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echo "---------------------------------------------------------------------------------------------------------------------"
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printf "| %-4s | %-20s | %-43s | %-10s | %-10s | %-10s |\n" "No." "Region" "Model Name" "Limit" "Used" "Available"
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echo "---------------------------------------------------------------------------------------------------------------------"
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for ROW in "${TABLE_ROWS[@]}"; do
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echo "$ROW"
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done
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echo "---------------------------------------------------------------------------------------------------------------------"
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echo "➡️ To request a quota increase, visit: https://aka.ms/oai/stuquotarequest"
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fi
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echo "✅ Script completed."

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