updated model name related docs and var

Author: Ayaz-Microsoft

.github/workflows/azd-template-validation.yml

@@ -34,7 +34,7 @@ jobs:
           AZURE_LOCATION: ${{ vars.AZURE_LOCATION }}
           AZURE_ENV_AI_SERVICE_LOCATION: ${{ vars.AZURE_AI_DEPLOYMENT_LOCATION }}
           AZURE_ENV_GPT_MODEL_CAPACITY: 1
-          AZURE_ENV_MODEL_4_1_CAPACITY: 1 # keep low to avoid potential quota issues
+          AZURE_ENV_MODEL_5_4_CAPACITY: 1 # keep low to avoid potential quota issues
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
 
       - name: print result

.github/workflows/azure-dev.yml

@@ -18,7 +18,7 @@ jobs:
       AZURE_LOCATION: ${{ vars.AZURE_LOCATION }}
       AZURE_ENV_AI_SERVICE_LOCATION: ${{ vars.AZURE_AI_DEPLOYMENT_LOCATION }}
       AZURE_ENV_GPT_MODEL_CAPACITY: 1
-      AZURE_ENV_MODEL_4_1_CAPACITY: 1
+      AZURE_ENV_MODEL_5_4_CAPACITY: 1
       GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
       AZURE_DEV_COLLECT_TELEMETRY: ${{ vars.AZURE_DEV_COLLECT_TELEMETRY }}
     steps:

.github/workflows/deploy-waf.yml

@@ -134,7 +134,7 @@ jobs:
               location="${{ env.AZURE_LOCATION }}" \
               azureAiServiceLocation='${{ env.AZURE_LOCATION }}' \
               gptDeploymentCapacity=${{ env.GPT_MIN_CAPACITY }} \
-              gpt4_1ModelCapacity=${{ env.GPT41_MINI_MIN_CAPACITY }} \
+              gpt5_4ModelCapacity=${{ env.GPT41_MINI_MIN_CAPACITY }} \
               gptReasoningModelCapacity=${{ env.O4_MINI_MIN_CAPACITY }} \
               enableTelemetry=true \
               enableMonitoring=true \

TRANSPARENCY_FAQS.md

@@ -26,4 +26,4 @@ The system allows users to review, reorder and approve steps generated in a plan
 
 ## What operational factors and settings allow for effective and responsible use of Multi Agent: Custom Automation Engine – Solution Accelerator? 
 Effective and responsible use of the Multi Agent: Custom Automation Engine – Solution Accelerator depends on several operational factors and settings. The system is designed to perform reliably and safely across a range of business tasks that it was evaluated for. Users can customize certain settings, such as the planning language model used by the system, the types of tasks that agents are assigned, and the specific actions that agents can take (e.g., sending emails or scheduling orientation sessions for new employees). However, it's important to note that these choices may impact the system's behavior in real-world scenarios.
-For example, selecting a planning language model that is not well-suited to the complexity of the tasks may result in lower accuracy and performance. Similarly, assigning tasks that are outside the system's intended scope may lead to errors or incomplete results. Users can choose the LLM that is optimized for responsible use. The default LLM is GPT-4o which inherits the existing RAI mechanisms and filters from the LLM provider. Caching is enabled by default to increase reliability and control cost. We encourage developers to review [OpenAI’s Usage policies](https://openai.com/policies/usage-policies/) and [Azure OpenAI’s Code of Conduct](https://learn.microsoft.com/en-us/legal/cognitive-services/openai/code-of-conduct) when using GPT-40. To ensure effective and responsible use of the accelerator, users should carefully consider their choices and use the system within its intended scope.
+For example, selecting a planning language model that is not well-suited to the complexity of the tasks may result in lower accuracy and performance. Similarly, assigning tasks that are outside the system's intended scope may lead to errors or incomplete results. Users can choose the LLM that is optimized for responsible use. The default LLM is GPT-5.4 which inherits the existing RAI mechanisms and filters from the LLM provider. Caching is enabled by default to increase reliability and control cost. We encourage developers to review [OpenAI’s Usage policies](https://openai.com/policies/usage-policies/) and [Azure OpenAI’s Code of Conduct](https://learn.microsoft.com/en-us/legal/cognitive-services/openai/code-of-conduct) when using GPT-5.4. To ensure effective and responsible use of the accelerator, users should carefully consider their choices and use the system within its intended scope.

docs/ACRBuildAndPushGuide.md

@@ -2,6 +2,8 @@
 
 This guide provides step-by-step instructions to build and push Docker images for **WebApp** and **Backend** services into Azure Container Registry (ACR).
 
+> **💡 Tip:** For a standard `azd up` deployment you do **not** need to run these commands manually. The post-deployment scripts `infra/scripts/build_and_push_images.sh` (Bash) and `infra/scripts/Build-And-Push-Images.ps1` (PowerShell) build and push the backend, frontend, and mcp_server images to ACR and repoint the apps automatically. Use the manual steps below only for custom or one-off image builds.
+
 ## 📋 Prerequisites
 Before starting, ensure you have:
 - An active [Azure Subscription](https://portal.azure.com/)
@@ -33,7 +35,7 @@ az acr login --name $ACR_NAME
 
  ```bash 
 az acr login --name <containerregname>
-docker build --no-cache -f docker/Backend.Dockerfile -t <acrloginserver>/<repo>:<tagname> .
+docker build --no-cache -f src/backend/Dockerfile -t <acrloginserver>/<repo>:<tagname> ./src/backend
 docker push <acrloginserver>/<repo>:<tagname>
  ```
 
@@ -56,7 +58,7 @@ docker push <acrloginserver>/<repo>:<tagname>
 
 ```bash
 az acr login --name <containerregname>
-docker build --no-cache -f docker/Frontend.Dockerfile -t <acrloginserver>/<repo>:<tagname> .
+docker build --no-cache -f src/App/Dockerfile -t <acrloginserver>/<repo>:<tagname> ./src/App
 docker push <acrloginserver>/<repo>:<tagname>
 ```
 

docs/AzureGPTQuotaSettings.md

@@ -5,6 +5,6 @@
 3. **Go to** the `Management Center` from the bottom-left navigation menu.  
 4. Select `Quota`  
    - Click on the `GlobalStandard` dropdown.  
-   - Select the required **GPT model** (`GPT-4o`)
+   - Select the required **GPT model** (`gpt-5.4` / `gpt-5.4-mini`)
    - Choose the **region** where the deployment is hosted.  
 5. Request More Quota or delete any unused model deployments as needed.  

docs/CustomizingAzdParameters.md

@@ -16,11 +16,11 @@ By default this template will use the environment name as the prefix to prevent
 | `AZURE_ENV_GPT_MODEL_VERSION`       | string | `2026-03-17`      | Version of the GPT model to be used for deployment.                                                |
 | `AZURE_ENV_GPT_DEPLOYMENT_NAME`     | string | (defaults to `AZURE_ENV_GPT_MODEL_NAME`) | Optional. Deployment (alias) name used in Azure OpenAI for the main GPT model. This is the value referenced as `deployment_name` in `data/agent_teams/*.json`. Override this if you want the deployment alias to differ from the underlying model name. |
 | `AZURE_ENV_GPT_MODEL_CAPACITY`       | int | `50`      | Sets the GPT model capacity.                                                |
-| `AZURE_ENV_MODEL_4_1_DEPLOYMENT_TYPE` | string | `GlobalStandard` | Defines the deployment type for the AI model (e.g., Standard, GlobalStandard).                     |
-| `AZURE_ENV_MODEL_4_1_NAME`          | string | `gpt-5.4`          | Specifies the underlying larger GPT model to be deployed.                                          |
-| `AZURE_ENV_MODEL_4_1_VERSION`       | string | `2026-03-05`      | Version of the larger GPT model to be used for deployment.                                         |
-| `AZURE_ENV_MODEL_4_1_DEPLOYMENT_NAME` | string | (defaults to `AZURE_ENV_MODEL_4_1_NAME`) | Optional. Deployment (alias) name used in Azure OpenAI for the larger GPT model. Override if the alias should differ from the underlying model name. |
-| `AZURE_ENV_MODEL_4_1_CAPACITY`       | int | `150`      | Sets the GPT model capacity.                                                |
+| `AZURE_ENV_MODEL_5_4_DEPLOYMENT_TYPE` | string | `GlobalStandard` | Defines the deployment type for the AI model (e.g., Standard, GlobalStandard).                     |
+| `AZURE_ENV_MODEL_5_4_NAME`          | string | `gpt-5.4`          | Specifies the underlying larger GPT model to be deployed.                                          |
+| `AZURE_ENV_MODEL_5_4_VERSION`       | string | `2026-03-05`      | Version of the larger GPT model to be used for deployment.                                         |
+| `AZURE_ENV_MODEL_5_4_DEPLOYMENT_NAME` | string | (defaults to `AZURE_ENV_MODEL_5_4_NAME`) | Optional. Deployment (alias) name used in Azure OpenAI for the larger GPT model. Override if the alias should differ from the underlying model name. |
+| `AZURE_ENV_MODEL_5_4_CAPACITY`       | int | `150`      | Sets the GPT model capacity.                                                |
 | `AZURE_ENV_REASONING_MODEL_DEPLOYMENT_TYPE` | string | `GlobalStandard` | Defines the deployment type for the AI model (e.g., Standard, GlobalStandard).                     |
 | `AZURE_ENV_REASONING_MODEL_NAME`          | string | `gpt-5.4-mini`          | Specifies the underlying reasoning GPT model to be deployed.                                       |
 | `AZURE_ENV_REASONING_MODEL_VERSION`       | string | `2026-03-17`      | Version of the reasoning GPT model to be used for deployment.                                      |

docs/ManualAzureDeployment.md

@@ -90,7 +90,7 @@ To add your newly created backend image:
         value: <Azure OpenAI endpoint>
 
         name: 'AZURE_OPENAI_DEPLOYMENT_NAME'
-        value: 'gpt-4o'
+        value: 'gpt-5.4-mini'
 
         name: 'AZURE_OPENAI_API_VERSION'
         value: '2024-08-01-preview'

docs/quota_check.md

@@ -1,7 +1,7 @@
 ## Check Quota Availability Before Deployment
 
 Before deploying the accelerator, **ensure sufficient quota availability** for the required model.
-> **For Global Standard | GPT-4o - the capacity to at least 150k tokens for optimal performance.**
+> **For Global Standard | gpt-5.4 - set the capacity to at least 150k tokens for optimal performance.**
 
 ### Login if you have not done so already
 ```
@@ -42,23 +42,23 @@ australiaeast, eastus2, francecentral, japaneast, norwayeast, swedencentral, uks
    ```
 ✔️ Check specific model(s) in default regions:
   ```
-  ./quota_check_params.sh --models gpt4.1:150
+  ./quota_check_params.sh --models gpt-5.4:150
   ```
 ✔️ Check default models in specific region(s):
   ```
 ./quota_check_params.sh --regions eastus2,westus
   ```
 ✔️ Passing Both models and regions:  
   ```
-  ./quota_check_params.sh --models gpt4.1:150 --regions eastus2,westus
+  ./quota_check_params.sh --models gpt-5.4:150 --regions eastus2,westus
   ```
 ✔️ All parameters combined:
   ```
- ./quota_check_params.sh --models gpt4.1:150 --regions eastus2,westus --verbose
+ ./quota_check_params.sh --models gpt-5.4:150 --regions eastus2,westus --verbose
   ```
 ✔️ Multiple models with single region:
   ```
- ./quota_check_params.sh --models gpt4.1:150,gpt4.1-mini:50 --regions eastus2 --verbose
+ ./quota_check_params.sh --models gpt-5.4:150,gpt-5.4-mini:100 --regions eastus2 --verbose
   ```
 
 ### **Sample Output**

infra/scripts/checkquota.sh

@@ -25,9 +25,8 @@ echo "✅ Azure subscription set successfully."
 
 # Define models and their minimum required capacities
 declare -A MIN_CAPACITY=(
-    ["OpenAI.GlobalStandard.o4-mini"]="${O4_MINI_MIN_CAPACITY}"
-    ["OpenAI.GlobalStandard.gpt4.1"]="${GPT_MIN_CAPACITY}"
-    ["OpenAI.GlobalStandard.gpt4.1-mini"]="${GPT41_MINI_MIN_CAPACITY}"
+    ["OpenAI.GlobalStandard.gpt-5.4-mini"]="$(( ${GPT_MIN_CAPACITY:-0} + ${O4_MINI_MIN_CAPACITY:-0} ))"
+    ["OpenAI.GlobalStandard.gpt-5.4"]="${GPT41_MINI_MIN_CAPACITY}"
 )
 
 VALID_REGION=""