+⚠️ **CRITICAL:** Before proceeding, ensure your chosen region has all required services available:
-## Deployment Options & Steps
+**Required Azure Services:**
+- [Azure OpenAI Service](https://learn.microsoft.com/en-us/azure/ai-services/openai/)
+- [Azure AI Search](https://learn.microsoft.com/en-us/azure/search/)
+- [Azure AI Document Intelligence](https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/)
+- [Azure Container Registry](https://learn.microsoft.com/en-us/azure/container-registry/)
+- [Azure Kubernetes Service](https://learn.microsoft.com/en-us/azure/aks/)
+- [Azure App Service](https://learn.microsoft.com/en-us/azure/app-service/)
+- [Azure Blob Storage](https://learn.microsoft.com/en-us/azure/storage/blobs/)
+- [Azure Queue Storage](https://learn.microsoft.com/en-us/azure/storage/queues/)
+- [Azure Cosmos DB](https://learn.microsoft.com/en-us/azure/cosmos-db/)
-### Sandbox or WAF Aligned Deployment Options
+**Recommended Regions:** East US, East US 2, West US 3, Sweden Central
-The [`infra`](../infra) folder of the Multi Agent Solution Accelerator contains the [`main.bicep`](../infra/main.bicep) Bicep script, which defines all Azure infrastructure components for this solution.
+🔍 **Check Availability:** Use [Azure Products by Region](https://azure.microsoft.com/en-us/explore/global-infrastructure/products-by-region/) to verify service availability.
-By default, the `azd up` command uses the [`main.parameters.json`](../infra/main.parameters.json) file to deploy the solution. This file is pre-configured for a **sandbox environment** — ideal for development and proof-of-concept scenarios, with minimal security and cost controls for rapid iteration.
+### 1.3 Quota Check (Optional)
-For **production deployments**, the repository also provides [`main.waf.parameters.json`](../infra/main.waf.parameters.json), which applies a [Well-Architected Framework (WAF) aligned](https://learn.microsoft.com/en-us/azure/well-architected/) configuration. This option enables additional Azure best practices for reliability, security, cost optimization, operational excellence, and performance efficiency, such as:
+💡 **RECOMMENDED:** Check your Azure OpenAI quota availability before deployment for optimal planning.
- - Enhanced network security (e.g., Network protection with private endpoints)
- - Stricter access controls and managed identities
- - Logging, monitoring, and diagnostics enabled by default
- - Resource tagging and cost management recommendations
+📖 **Follow:** [Quota Check Instructions](./QuotaCheck.md) to ensure sufficient capacity.
-**How to choose your deployment configuration:**
+**Recommended Configuration:**
+- **Default:** 200k tokens (minimum)
+- **Optimal:** 500k tokens (recommended for best performance)
-* Use the default `main.parameters.json` file for a **sandbox/dev environment**
-* For a **WAF-aligned, production-ready deployment**, copy the contents of `main.waf.parameters.json` into `main.parameters.json` before running `azd up`
+> **Note:** When you run `azd up`, the deployment will automatically show you regions with available quota, so this pre-check is optional but helpful for planning purposes. You can customize these settings later in [Step 3.3: Advanced Configuration](#33-advanced-configuration-optional).
----
+📖 **Adjust Quota:** Follow [Azure AI Model Quota Settings](./AzureAIModelQuotaSettings.md) if needed.
+
+## Step 2: Deployment Environment
+
+
+
Configurable Parameters
-> [!IMPORTANT] -> The WAF-aligned configuration is under active development. More Azure Well-Architected recommendations will be added in future updates. +You can customize various deployment settings before running `azd up`, including Azure regions, AI model configurations (deployment type, version, capacity), container registry settings, and resource names. -## Deployment Steps +📖 **Complete Guide:** See [Parameter Customization Guide](../docs/CustomizingAzdParameters.md) for the full list of available parameters and their usage. -Consider the following settings during your deployment to modify specific settings: +
-
+To optimize costs and integrate with your existing Azure infrastructure, you can configure the solution to reuse compatible resources already deployed in your subscription.
+
+**Supported Resources for Reuse:**
+
+- **Log Analytics Workspace:** Integrate with your existing monitoring infrastructure by reusing an established Log Analytics workspace for centralized logging and monitoring. [Configuration Guide](./re-use-log-analytics.md)
-### Deploying with AZD
+**Key Benefits:**
+- **Cost Optimization:** Eliminate duplicate resource charges
+- **Operational Consistency:** Maintain unified monitoring and AI infrastructure
+- **Faster Deployment:** Skip resource creation for existing compatible services
+- **Simplified Management:** Reduce the number of resources to manage and monitor
-Once you've opened the project [locally](#local-environment), you can deploy it to Azure by following these steps:
+**Important Considerations:**
+- Ensure existing resources meet the solution's requirements and are in compatible regions
+- Review access permissions and configurations before reusing resources
+- Consider the impact on existing workloads when sharing resources
-1. Clone the repository or download the project code via command-line:
+
- ```cmd
- git clone https://github.com/microsoft/Document-Knowledge-Mining-Solution-Accelerator
- ```
+## Step 4: Deploy the Solution
- Open the cloned repository in Visual Studio Code and connect to the development container.
+💡 **Before You Start:** If you encounter any issues during deployment, check our [Troubleshooting Guide](./TroubleShootingSteps.md) for common solutions.
- ```cmd
- code .
- ```
+### 4.1 Authenticate with Azure
-2. Login to Azure:
+```shell
+azd auth login
+```
- ```shell
- azd auth login
- ```
+**For specific tenants:**
+```shell
+azd auth login --tenant-id Configurable Deployment Settings
- -When you start the deployment, most parameters will have **default values**, but you can update the following settings [here](../docs/CustomizingAzdParameters.md): - -| **Setting** | **Description** | **Default value** | -| ------------------------------ | ------------------------------------------------------------------------------------ | ----------------- | -| **Environment Name** | Used as a prefix for all resource names to ensure uniqueness across environments. | dkm | -| **Azure Region** | Location of the Azure resources. Controls where the infrastructure will be deployed. | australiaeast | -| **Model Deployment Type** | Defines the deployment type for the AI model (e.g., Standard, GlobalStandard). | GlobalStandard | -| **GPT Model Name** | Specifies the name of the GPT model to be deployed. | gpt-4.1 | -| **GPT Model Version** | Version of the GPT model to be used for deployment. | 2024-08-06 | -| **GPT Model Capacity** | Sets the GPT model capacity. | 100K | -| **Embedding Model** | Sets the embedding model. | text-embedding-3-large | -| **Embedding Model Capacity** | Set the capacity for **embedding models** (in thousands). | 100k | -| **Enable Telemetry** | Enables telemetry for monitoring and diagnostics. | true | -| **Existing Log Analytics Workspace** | To reuse an existing Log Analytics Workspace ID instead of creating a new one. | *(none)* | +Reuse Existing Resources
-
+` with the actual name of the resource group containing your deployed Azure resources.
+
+
+### Creating a New Environment
-> **💡 Tip**: Since this guide is for azd deployment, you'll typically use the first command without the `-ResourceGroupName` parameter.
+If you need to deploy to a different region, test different configurations, or create additional environments:
-If you run into issue with PowerShell script file not being digitally signed, you can execute below command:
+Recover from Failed Deployment
+ +**If your deployment failed or encountered errors:** + +1. **Try a different region:** Create a new environment and select a different Azure region during deployment +2. **Clean up and retry:** Use `azd down` to remove failed resources, then `azd up` to redeploy +3. **Check troubleshooting:** Review [Troubleshooting Guide](./TroubleShootingSteps.md) for specific error solutions +4. **Fresh start:** Create a completely new environment with a different name + +**Example Recovery Workflow:** +```shell +# Remove failed deployment (optional) +azd down + +# Create new environment (3-16 chars, alphanumeric only) +azd env new conmigretry + +# Deploy with different settings/region +azd up ``` -> **Note:** Replace `
+
+# Select the new environment
+azd env select
+
+# Deploy to the new environment
+azd up
```
-powershell.exe -ExecutionPolicy Bypass -File ".\resourcedeployment.ps1"
+
+**Example:**
+```shell
+# Create a new environment for production (valid: 3-16 chars)
+azd env new conmigprod
+
+# Switch to the new environment
+azd env select conmigprod
+
+# Deploy with fresh settings
+azd up
```
-You will be prompted for the following parameters with this Screen :
-
+> **Environment Name Requirements:**
+> - **Length:** 3-16 characters
+> - **Characters:** Alphanumeric only (letters and numbers)
+> - **Valid examples:** `conmig`, `test123`, `myappdev`, `prod2024`
+> - **Invalid examples:** `co` (too short), `my-very-long-environment-name` (too long), `test_env` (underscore not allowed), `myapp-dev` (hyphen not allowed)
+
+
-1. **Email** - used for issuing certificates in Kubernetes clusters from the [Let's Encrypt](https://letsencrypt.org/) service. Email address should be valid.
+Create a New Environment
+ +**Create Environment Explicitly:** +```shell +# Create a new named environment (3-16 characters, alphanumeric only) +azd env new
+> **Environment Name Requirements:**
+> - **Length:** 3-16 characters
+> - **Characters:** Alphanumeric only (letters and numbers)
+> - **Valid examples:** `conmig`, `test123`, `myappdev`, `prod2024`
+> - **Invalid examples:** `co` (too short), `my-very-long-environment-name` (too long), `test_env` (underscore not allowed), `myapp-dev` (hyphen not allowed)
+
+
+
+**List Available Environments:**
+```shell
+azd env list
+```
-2. You will be prompted to Login, Select a account and proceed to Login.
+**Switch to Different Environment:**
+```shell
+azd env select
+```
-3. **GO !** - Post Deployment Script executes Azure Infrastructure configuration, Application code compile and publish into Kubernetes Cluster.
+**View Current Environment:**
+```shell
+azd env get-values
+```
-### Manual Deployment Steps:
-**Create Content Filter** - Please follow below steps
-> * Navigate to project in Azure OpenAI, then go to Azure AI Foundry, select Safety + security
-> * Click on Create Content Filter and set the filters to a high threshold for the following categories:
- ```
- Hate, Sexual, Self-harm, Violence
- ```
-> * Please select the checkbox of profanity
-> * Leave all other configurations at their default settings and click on create
+
-### Deployment Complete
-#### 🥳🎉 First, congrats on finishing Deployment!
-Let's check the message and configure your model's TPM rate higher to get better performance.
-You can check the Application URL from the final console message.
-Don't miss this Url information. This is the application's endpoint URL and it should be used for your data importing process.
+### Best Practices for Multiple Environments
-Switch Between Environments
-
+**List Available Environments:**
+```shell
+azd env list
+```
-2. You will be prompted to Login, Select a account and proceed to Login.
+**Switch to Different Environment:**
+```shell
+azd env select 
+- **Use descriptive names:** `conmigdev`, `conmigprod`, `conmigtest` (remember: 3-16 chars, alphanumeric only)
+- **Different regions:** Deploy to multiple regions for testing quota availability
+- **Separate configurations:** Each environment can have different parameter settings
+- **Clean up unused environments:** Use `azd down` to remove environments you no longer need
## Next Steps
-### 1. Configure Azure OpenAI Rate Limits
+Now that your deployment is complete and tested, explore these resources to enhance your experience:
-> **Capacity Note:**
-> * The deployment script creates models with a setting of 1 token per minute (TPM) rate limit.
-> * Faster performance can be achieved by increasing the TPM limit with Azure AI Foundry.
-> * Capacity varies for [regional quota limits](https://learn.microsoft.com/en-us/azure/ai-services/openai/quotas-limits#regional-quota-limits) as well as for [provisioned throughput](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/provisioned-throughput).
-> * As a starting point, we recommend the following quota threshold be set up for this service run.
+📚 **Learn More:**
+- [Technical Architecture](./TechnicalArchitecture.md) - Understand the system design and components
+- [Local Development Setup](./LocalSetupGuide.md) - Set up your local development environment
-| Model Name | TPM Threshold |
-|------------------------|---------------|
-| GPT-4.1-mini | 100K TPM |
-| text-embedding-3-large | 200K TPM |
+## Need Help?
+- 🐛 **Issues:** Check [Troubleshooting Guide](./TroubleShootingSteps.md)
+- 💬 **Support:** Review [Support Guidelines](../SUPPORT.md)
+- 🔧 **Development:** See [Contributing Guide](../CONTRIBUTING.md)
-> **⚠️ Warning:** **Insufficient quota can cause failures during the upload process.** Please ensure you have the recommended capacity or request for additional capacity before start uploading the files.
+---
+## Advanced: Deploy Local Changes
-1. Browse to the project in Azure AI Foundry, and select **each of the 2 models** within the `Deployments` menu:
-
+If you've made local modifications to the code and want to deploy them to Azure, follow these steps to swap the configuration files:
-2. Increase the TPM value for **each model** for faster report generation:
-
+> **Note:** To set up and run the application locally for development, see the [Local Development Setup Guide](./LocalSetupGuide.md).
-### 2. Data Uploading and Processing
-After increasing the TPM limit for each model, let's upload and process the sample documents.
-```
-cd .\Deployment\
-```
+### Step 1: Rename Azure Configuration Files
-Execute uploadfiles.ps1 file with **-EndpointUrl** parameter as URL in console message.
+**In the root directory:**
+1. Rename `azure.yaml` to `azure_custom2.yaml`
+2. Rename `azure_custom.yaml` to `azure.yaml`
-```
-.\uploadfiles.ps1 -EndpointUrl https://kmgs
+
+#### 1.3.1 **Email** - used for issuing certificates in Kubernetes clusters from the [Let's Encrypt](https://letsencrypt.org/) service. Email address should be valid.
+
+
+
+#### 1.3.2 You will be prompted to Login, Select a account and proceed to Login.
+
+#### 1.3.3 **GO !** - Post Deployment Script executes Azure Infrastructure configuration, Application code compile and publish into Kubernetes Cluster.
+
+#### 1.3.4 Deployment Complete
+#### 🥳🎉 First, congrats on finishing Deployment!
+Let's check the message and configure your model's TPM rate higher to get better performance.
+You can check the Application URL from the final console message.
+Don't miss this Url information. This is the application's endpoint URL and it should be used for your data importing process.
+
+
+
+### Manual Deployment Steps:
+**Create Content Filter** - Please follow below steps
+> * Navigate to project in Azure OpenAI, then go to Azure AI Foundry, select Safety + security
+> * Click on Create Content Filter and set the filters to a high threshold for the following categories:
+ ```
+ Hate, Sexual, Self-harm, Violence
+ ```
+> * Please select the checkbox of profanity
+> * Leave all other configurations at their default settings and click on create
+
+## Step 2: Configure Azure OpenAI Rate Limits
+
+> **Capacity Note:**
+> * The deployment script creates models with a setting of 1 token per minute (TPM) rate limit.
+> * Faster performance can be achieved by increasing the TPM limit with Azure AI Foundry.
+> * Capacity varies for [regional quota limits](https://learn.microsoft.com/en-us/azure/ai-services/openai/quotas-limits#regional-quota-limits) as well as for [provisioned throughput](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/provisioned-throughput).
+> * As a starting point, we recommend the following quota threshold be set up for this service run.
+
+| Model Name | TPM Threshold |
+|------------------------|---------------|
+| GPT-4.1-mini | 100K TPM |
+| text-embedding-3-large | 200K TPM |
+
+
+> **⚠️ Warning:** **Insufficient quota can cause failures during the upload process.** Please ensure you have the recommended capacity or request for additional capacity before start uploading the files.
+
+
+### 2.1. Browse to the project in Azure AI Foundry, and select **each of the 2 models** within the `Deployments` menu:
+
+
+### 2.2. Increase the TPM value for **each model** for faster report generation:
+
+
+### 3. Data Uploading and Processing
+After increasing the TPM limit for each model, let's upload and process the sample documents.
+
+Execute this command:
+
+
diff --git a/docs/TroubleShootingSteps.md b/docs/TroubleShootingSteps.md
new file mode 100644
index 00000000..792ed6d0
--- /dev/null
+++ b/docs/TroubleShootingSteps.md
@@ -0,0 +1,609 @@
+# 🛠️ Troubleshooting
+
+When deploying Azure resources, you may come across different error codes that stop or delay the deployment process. This section lists some of the most common errors along with possible causes and step-by-step resolutions.
+
+Use these as quick reference guides to unblock your deployments.
+
+> **💡 Need deployment recovery help?** If your deployment failed and you need to start over, see the [Recover from Failed Deployment](https://github.com/microsoft/Container-Migration-Solution-Accelerator/blob/readme-updates/docs/DeploymentGuide.md#recover-from-failed-deployment) section in the deployment guide.
+
+## Error Codes
+
+
+
+ ReadOnlyDisabledSubscription
+ +- Check if you have an active subscription before starting the deployment. + +
+
+MissingSubscriptionRegistration/ AllowBringYourOwnPublicIpAddress/ InvalidAuthenticationToken
+ +Enable `AllowBringYourOwnPublicIpAddress` Feature + +Before deploying the resources, you may need to enable the **Bring Your Own Public IP Address** feature in Azure. This is required only once per subscription. + +### Steps + +1. **Run the following command to register the feature:** + + ```bash + az feature register --namespace Microsoft.Network --name AllowBringYourOwnPublicIpAddress + ``` + +2. **Wait for the registration to complete.** + You can check the status using: + + ```bash + az feature show --namespace Microsoft.Network --name AllowBringYourOwnPublicIpAddress --query properties.state + ``` + +3. **The output should show:** + "Registered" + +4. **Once the feature is registered, refresh the provider:** + + ```bash + az provider register --namespace Microsoft.Network + ``` + + 💡 Note: Feature registration may take several minutes to complete. This needs to be done only once per Azure subscription. + +
+
+```
+
+
+
+ResourceGroupNotFound
+ +## Option 1 + +### Steps + +1. Go to [Azure Portal](https:/portal.azure.com/#home). + +2. Click on the **"Resource groups"** option available on the Azure portal home page. +  + +3. In the Resource Groups search bar, search for the resource group you intend to target for deployment. If it exists, you can proceed with using it. +  + +## Option 2 + +- This error can occur if you deploy the template using the same .env file - from a previous deployment. +- To avoid this issue, create a new environment before redeploying. +- You can use the following command to create a new environment: + +``` +azd env new
+
+
+ResourceGroupBeingDeleted
+ +To prevent this issue, please ensure that the resource group you are targeting for deployment is not currently being deleted. You can follow steps to verify resource group is being deleted or not. + +### Steps: + +1. Go to [Azure Portal](https://portal.azure.com/#home) +2. Go to resource group option and search for targeted resource group +3. If Targeted resource group is there and deletion for this is in progress, it means you cannot use this, you can create new or use any other resource group + +
+
+InternalSubscriptionIsOverQuotaForSku/ManagedEnvironmentProvisioningError
+ +Quotas are applied per resource group, subscriptions, accounts, and other scopes. For example, your subscription might be configured to limit the number of vCPUs for a region. If you attempt to deploy a virtual machine with more vCPUs than the permitted amount, you receive an error that the quota was exceeded. +For PowerShell, use the `Get-AzVMUsage` cmdlet to find virtual machine quotas. + +```ps +Get-AzVMUsage -Location "West US" +``` + +based on available quota you can deploy application otherwise, you can request for more quota + +
+
+
+InsufficientQuota
+ +- Check if you have sufficient quota available in your subscription before deployment. +- To verify, refer to the [Quota Check documentation](./QuotaCheck.md) for details. + +
+ --query "properties.provisioningState"
+ ```
+
+- Sample Resource IDs format
+ - Log Analytics Workspace Resource ID
+ ```
+ /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.OperationalInsights/workspaces/{workspaceName}
+ ```
+ - Azure AI Foundry Project Resource ID
+ ```
+ /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{name}
+ ```
+- For more information refer [Resource Not Found errors solutions](https://learn.microsoft.com/en-us/azure/azure-resource-manager/troubleshooting/error-not-found?tabs=bicep)
+
+
+
+LinkedInvalidPropertyId/ ResourceNotFound/DeploymentOutputEvaluationFailed/ CanNotRestoreANonExistingResource
+ +- Before using any resource ID, ensure it follows the correct format. +- Verify that the resource ID you are passing actually exists. +- Make sure there are no typos in the resource ID. +- Verify that the provisioning state of the existing resource is `Succeeded` by running the following command to avoid this error while deployment or restoring the resource. + + ``` + az resource show --ids
+
+
+ResourceNameInvalid
+ +- Ensure the resource name is within the allowed length and naming rules defined for that specific resource type, you can refer [Resource Naming Convention](https://learn.microsoft.com/en-us/azure/azure-resource-manager/management/resource-name-rules) document. + +
+
+
+ServiceUnavailable/ResourceNotFound
+ +- Regions are restricted to guarantee compatibility with paired regions and replica locations for data redundancy and failover scenarios based on articles [Azure regions list](https://learn.microsoft.com/en-us/azure/reliability/regions-list) and [Reliability in Azure Cosmos DB for NoSQL](https://learn.microsoft.com/en-us/azure/reliability/reliability-cosmos-db-nosql). + +- You can request more quota for Cosmos DB, refer [Quota Request](https://learn.microsoft.com/en-us/azure/cosmos-db/nosql/create-support-request-quota-increase) Documentation + +
+
+
+ Workspace Name - InvalidParameter
+ +To avoid this errors in workspace ID follow below rules. + +1. Must start and end with an alphanumeric character (letter or number). +2. Allowed characters: + `a–z` + `0–9` + `- (hyphen)` +3. Cannot start or end with a hyphen -. +4. No spaces, underscores (\_), periods (.), or special characters. +5. Must be unique within the Azure region & subscription. +6. Length: 3–33 characters (for AML workspaces). +
+
+
+BadRequest: Dns record under zone Document is already taken
+ +This error can occur only when user hardcoding the CosmosDB Service name. To avoid this you can try few below suggestions. + +- Verify resource names are globally unique. +- If you already created an account/resource with same name in another subscription or resource group, check and delete it before reusing the name. +- By default in this template we are using unique prefix with every resource/account name to avoid this kind for errors. +
+
+
+NetcfgSubnetRangeOutsideVnet
+ +- Ensure the subnet’s IP address range falls within the virtual network’s address space. +- Always validate that the subnet CIDR block is a subset of the VNet range. +- For Azure Bastion, the AzureBastionSubnet must be at least /27. +- Confirm that the AzureBastionSubnet is deployed inside the VNet. +
+
+
+ DisableExport_PublicNetworkAccessMustBeDisabled
+ +- Check container source: Confirm whether the deployment is using a Docker image or Azure Container Registry (ACR). +- Verify ACR configuration: If ACR is included, review its settings to ensure they comply with Azure requirements. +- Check export settings: If export is disabled in ACR, make sure public network access is also disabled. +- Dedeploy after fix: Correct the configuration and redeploy. This will prevent the Conflict error during deployment. +- For more information refer [ACR Data Loss Prevention](https://learn.microsoft.com/en-us/azure/container-registry/data-loss-prevention) document. +
+
+
+AccountProvisioningStateInvalid
+ +- The AccountProvisioningStateInvalid error occurs when you try to use resources while they are still in the Accepted provisioning state. +- This means the deployment has not yet fully completed. +- To avoid this error, wait until the provisioning state changes to Succeeded. +- Only use the resources once the deployment is fully completed. +
+
+
+VaultNameNotValid
+ +In this template Vault name will be unique everytime, but if you are trying to hard code the name then please make sure below points. + +1. Check name length + - Ensure the Key Vault name is between 3 and 24 characters. +2. Validate allowed characters + - The name can only contain letters (a–z, A–Z) and numbers (0–9). + - Hyphens are allowed, but not at the beginning or end, and not consecutive (--). +3. Ensure proper start and end + - The name must start with a letter. + - The name must end with a letter or digit (not a hyphen). +4. Test with a new name + + - Example of a valid vault name: + ✅ cartersaikeyvault1 ✅ securevaultdemo ✅ kv-project123 + +
+ --template-file main.bicep
+ ```
+4. Check resource limits/quotas
+ - Ensure you have not exceeded quotas (vCPUs, IPs, storage accounts, etc.), which can silently cause cancellation.
+5. Fix the failed dependency
+ - If a specific resource shows BadRequest, Conflict, or ValidationError, resolve that first.
+ - Re-run the deployment after fixing the root cause.
+6. Retry deployment
+Once corrected, redeploy with:
+`az deployment group create --resource-group --template-file main.bicep`
+Essentially: DeploymentCanceled itself is just a wrapper error — you need to check inner errors in the deployment logs to find the actual failure.
+
+
+DeploymentCanceled
+ +There might be multiple reasons for this error you can follow below steps to troubleshoot. + +1. Check deployment history + - Go to Azure Portal → Resource Group → Deployments. + - Look at the detailed error message for the deployment that was canceled — this will show which resource failed and why. +2. Identify the root cause + - A DeploymentCanceled usually means: + - A dependent resource failed to deploy. + - A validation error occurred earlier. + - A manual cancellation was triggered. + - Expand the failed deployment logs for inner error messages. +3. Validate your template (ARM/Bicep) + Run: + ``` + az deployment group validate --resource-group
+
+
+LocationNotAvailableForResourceType
+ +- You may encounter a LocationNotAvailableForResourceType error if you set the secondary location to 'Australia Central' in the main.bicep file. +- This happens because 'Australia Central' is not a supported region for that resource type. +- Always refer to the README file or Azure documentation to check the list of supported regions. +- Update the deployment with a valid supported region to resolve the issue. + +
+
+
+InvalidResourceLocation
+ +- You may encounter an InvalidResourceLocation error if you change the region for Cosmos DB or the Storage Account (secondary location) multiple times in the main.bicep file and redeploy. +- Azure resources like Cosmos DB and Storage Accounts do not support changing regions after deployment. +- If you need to change the region again, first delete the existing deployment. +- Then redeploy the resources with the updated region configuration. + +
+
+
+DeploymentActive
+ +- This issue occurs when a deployment is already in progress and another deployment is triggered in the same resource group, causing a DeploymentActive error. +- Cancel the ongoing deployment before starting a new one. +- Do not initiate a new deployment in the same resource group until the previous one is completed. +
+
+
+ResourceOperationFailure/ProvisioningDisabled
+ +- This error occurs when provisioning of a resource is restricted in the selected region. + It usually happens because the service is not available in that region or provisioning has been temporarily disabled. + +- Regions are restricted to guarantee compatibility with paired regions and replica locations for data redundancy and failover scenarios based on articles [Azure regions list](https://learn.microsoft.com/en-us/azure/reliability/regions-list) and [Reliability in Azure Cosmos DB for NoSQL](https://learn.microsoft.com/en-us/azure/reliability/reliability-cosmos-db-nosql). + +- If you need to use the same region, you can request a quota or provisioning exception. + Refer to [Quota Request](https://learn.microsoft.com/en-us/azure/cosmos-db/nosql/create-support-request-quota-increase) for more details. + +
+
+
+MaxNumberOfRegionalEnvironmentsInSubExceeded
+ +- This error occurs when you try to create more than the allowed number of **Azure Container App Environments (ACA Environments)** in the same region for a subscription. +- For example, in **Sweden Central**, only **1 Container App Environment** is allowed per subscription. + +The subscription 'xxxx-xxxx' cannot have more than 1 Container App Environments in Sweden Central. + +- To fix this, you can: + - Deploy the Container App Environment in a **different region**, OR + - Request a quota increase via Azure Support → [Quota Increase Request](https://go.microsoft.com/fwlink/?linkid=2208872) + +
+" -o table
+ ```
+
+- To Request more quota refer [VM Quota Request](https://techcommunity.microsoft.com/blog/startupsatmicrosoftblog/how-to-increase-quota-for-specific-types-of-azure-virtual-machines/3792394).
+
+
+
+Unauthorized - Operation cannot be completed without additional quota
+ +- You can check your quota usage using `az vm list-usage`. + + ``` + az vm list-usage --location "ParentResourceNotfound +
+ +- You can refer to the [Parent Resource Not found](https://learn.microsoft.com/en-us/azure/azure-resource-manager/troubleshooting/error-parent-resource?tabs=bicep) documentation if you encounter this error. + +ResourceProviderError
+ +- This error occurs when the resource provider is not registered in your subscription. +- To register it, refer to [Register Resource Provider](https://learn.microsoft.com/en-us/azure/azure-resource-manager/management/resource-providers-and-types) documentation. + +
+
+
+Conflict - Cannot use the SKU Basic with File Change Audit for site.
+ +- This error happens because File Change Audit logs aren’t supported on Basic SKU App Service Plans. + +- Upgrading to Premium/Isolated SKU (supports File Change Audit), or + +- Disabling File Change Audit in Diagnostic Settings if you must stay on Basic. +- Always cross-check the [supported log types](https://aka.ms/supported-log-types) + before adding diagnostic logs to your Bicep templates. + +
+
+
+
+AccountPropertyCannotBeUpdated
+ +- The property **`isHnsEnabled`** (Hierarchical Namespace for Data Lake Gen2) is **read-only** and can only be set during **storage account creation**. +- Once a storage account is created, this property **cannot be updated**. +- Trying to update it via ARM template, Bicep, CLI, or Portal will fail. + +- **Resolution** +- Create a **new storage account** with `isHnsEnabled=true` if you require hierarchical namespace. +- Migration may be needed if you already have data. +- Refer to [Storage Account Update Restrictions](https://aka.ms/storageaccountupdate) for more details. + +
+
+
+
+InvalidRequestContent
+ +- The deployment values either include values that aren't recognized, or required values are missing. +- Confirm the values for your resource type. +- You can refer to the [Invalid Request Content error documentation](https://learn.microsoft.com/en-us/azure/azure-resource-manager/troubleshooting/error-invalid-request-content). + +
+
+
+ReadOnlyDisabledSubscription
+ +- Depending on the type of the Azure Subscription, the expiration date might have been reached. + +- You have to activate the Azure Subscription before creating any Azure resource. + +- You can refer Reactivate a disabled Azure subscription Documentation. + +
+
+
+
+SkuNotAvailable
+ +- You receive this error in the following scenarios: + - When the resource SKU you've selected, such as VM size, isn't available for a location or zone. + - If you're deploying an Azure Spot VM or Spot scale set instance, there isn't any capacity for Azure Spot in this location. For more information, see Spot error messages. + +
+
+ ```
+
+- **Verify pipeline/service principal:**
+ If using CI/CD, confirm that the service principal belongs to the same tenant and has permissions on the resource group.
+
+- **Avoid cross-tenant references:**
+ Make sure your Bicep doesn’t reference subscriptions, resource groups, or resources in another tenant.
+
+- **Test minimal deployment:**
+ Deploy a simple resource to the same resource group to confirm that identity and tenant are correct.
+
+- **Guest/external accounts:**
+ Avoid using guest users from other tenants; use native accounts or SPs in the tenant.
+
+
+
+CrossTenantDeploymentNotPermitted
+ +- **Check tenant match:** + Ensure your deployment identity (user/SP) and the target resource group are in the same tenant. + + ```bash + az account show + az group show --name
+
+
+RequestDisallowedByPolicy
+ +- This typically indicates that an Azure Policy is preventing the requested action due to policy restrictions in your subscription. +- For more details and guidance on resolving this issue, please refer to the official Microsoft documentation: [RequestDisallowedByPolicy](https://learn.microsoft.com/en-us/troubleshoot/azure/azure-kubernetes/create-upgrade-delete/error-code-requestdisallowedbypolicy) + +
+ \
+ --resource-group \
+ --location
+ ```
+
+- For more details, refer to [Soft delete and resource restore.](https://learn.microsoft.com/en-us/azure/azure-resource-manager/management/delete-resource-group?tabs=azure-powershell)
+
+
+
+FlagMustBeSetForRestore/NameUnavailable/CustomDomainInUse
+ +- This error occurs when you try to deploy a Cognitive Services resource that was soft-deleted earlier. +- Azure requires you to explicitly set the `restore` flag to `true` if you want to recover the soft-deleted resource. +- If you don’t want to restore the resource, you must purge the deleted resource first before redeploying. + +**Example causes:** + +- Trying to redeploy a Cognitive Services account with the same name as a previously deleted one. +- The deleted resource still exists in a soft-delete retention state. + +**How to fix:** + +1. If you want to restore → add `"restore": true` in your template properties. +2. If you want a fresh deployment → purge the resource using: + ```bash + az cognitiveservices account purge \ + --name
+
+ ```
+2. If the principal was just created, wait a few minutes and retry.
+3. Explicitly set the principalType property (ServicePrincipal, User, or Group) in your ARM/Bicep template to avoid replication delays.
+4. If the principal does not exist, create it again before assigning roles.
+
+- For more details, see [Azure PrincipalType documentation](https://learn.microsoft.com/en-us/azure/role-based-access-control/troubleshooting?tabs=bicep)
+
+
+
+PrincipalNotFound
+ +- This error occurs when the principal ID (Service Principal, User, or Group) specified in a role assignment or deployment does not exist in the Azure Active Directory tenant. +- It can also happen due to replication delays right after creating a new principal. + +**Example causes:** + +- The specified Object ID is invalid or belongs to another tenant. +- The principal was recently created, but Azure AD has not yet replicated it. +- Attempting to assign a role to a non-existing or deleted Service Principal/User/Group. + +**How to fix:** + +1. Verify that the principal ID is correct and exists in the same directory/tenant. + ```bash + az ad sp show --id
+
+
+
+RedundancyConfigurationNotAvailableInRegion
+ +- This issue happens when you try to create a Storage Account with a redundancy configuration (e.g., Standard_GRS) that is not supported in the selected Azure region. + +- Example: Creating a storage account with GRS in italynorth will fail with this error. + + ``` + az storage account create -n mystorageacct123 -g myResourceGroup -l italynorth --sku Standard_GRS --kind StorageV2 + + ``` + +- To check supported SKUs for your region: + ``` + az storage account list-skus -l italynorth -o table + ``` +- Use a supported redundancy option (e.g., Standard_LRS) in the same region Or deploy the Storage Account in a region that supports your chosen redundancy. For more details, refer to [Azure Storage redundancy documentation.](https://learn.microsoft.com/en-us/azure/storage/common/storage-redundancy?utm_source=chatgpt.com) + +
+
+
+
+DeploymentNotFound
+ +- This issue occurs when the user deletes a previous deployment along with the resource group (RG), and then redeploys the same RG with the same environment name but in a different location. + +- To avoid the DeploymentNotFound error, do not change the location when redeploying a deleted RG, or Use new names for the RG and environment during redeployment. + +
+
+
+
+DeploymentCanceled(user.canceled)
+- Indicates that the deployment was manually canceled by the user (Portal, CLI, or pipeline). + +- Check deployment history and logs to confirm who/when it was canceled. + +- If accidental, retry the deployment. + +- For pipelines, ensure no automation or timeout is triggering cancellation. + +- Use deployment locks or retry logic to prevent accidental cancellations. + +
+
+ --yes --no-wait```).
+
+- Check Activity Log to identify failing resources; escalate to Azure Support if deletion is stuck.
+
+
+
+ResourceGroupDeletionTimeout
+ +- Some resources in the resource group may be stuck deleting or have dependencies; check RG resources and status. + +- Ensure no resource locks or Azure Policies are blocking deletion. + +- Retry deletion via CLI/PowerShell (```az group delete --name
+
+
+
+BadRequest - DatabaseAccount is in a failed provisioning state because the previous attempt to create it was not successful
+ +- This error occurs when a user attempts to redeploy a resource that previously failed to provision. + +- To resolve the issue, delete the failed deployment first, then start a new deployment. + +- For guidance on deleting a resource from a Resource Group, refer to the following link: [Delete an Azure Cosmos DB account](https://learn.microsoft.com/en-us/azure/cosmos-db/nosql/manage-with-powershell#delete-account:~:text=%3A%24enableMultiMaster-,Delete%20an%20Azure%20Cosmos%20DB%20account,-This%20command%20deletes) + +
+
+
+
+SpecialFeatureOrQuotaIdRequired
+ +- This error occurs when your subscription does not have access to certain Azure OpenAI models. +- Example error message: + -SpecialFeatureOrQuotaIdRequired: The current subscription does not have access to this model 'Format:OpenAI,Name:o3,Version:2025-04-16'. +- Resolution: +To gain access, submit a request using the official form: + -[👉 Azure OpenAI Model Access Request](https://customervoice.microsoft.com/Pages/ResponsePage.aspx?id=v4j5cvGGr0GRqy180BHbR7en2Ais5pxKtso_Pz4b1_xUQ1VGQUEzRlBIMVU2UFlHSFpSNkpOR0paRSQlQCN0PWcu) + + -You’ll need to use this form if you require access to the following restricted models: + - gpt-5 + - o3 + - o3-pro + - deep research + - reasoning summary + - gpt-image-1 + - Once your request is approved, redeploy your resources. + +
+
+
+
+💡 Note: If you encounter any other issues, you can refer to the [Common Deployment Errors](https://learn.microsoft.com/en-us/azure/azure-resource-manager/troubleshooting/common-deployment-errors) documentation.
+If the problem persists, you can also raise an bug in our [Github Issues](https://github.com/microsoft/Document-Knowledge-Mining-Solution-Accelerator/issues) for further support.
\ No newline at end of file
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+[← Back to *DEPLOYMENT* guide](/docs/DeploymentGuide.md#deployment-steps)
+
+# Reusing an Existing Log Analytics Workspace
+To configure your environment to use an existing Log Analytics Workspace, follow these steps:
+---
+### 1. Go to Azure Portal
+Go to https://portal.azure.com
+
+### 2. Search for Log Analytics
+In the search bar at the top, type "Log Analytics workspaces" and click on it and click on the workspace you want to use.
+
+
+
+### 3. Copy Resource ID
+In the Overview pane, Click on JSON View
+
+
+
+Copy Resource ID that is your Workspace ID
+
+
+
+### 4. Set the Workspace ID in Your Environment
+Run the following command in your terminal
+```bash
+azd env set AZURE_ENV_LOG_ANALYTICS_WORKSPACE_ID '