update image tag and build main.bicep

Author: VishalS-Microsoft

documents/CustomizingAzdParameters.md

@@ -19,7 +19,7 @@ By default this template will use the environment name as the prefix to prevent
 | `AZURE_ENV_OPENAI_API_VERSION`            | string  | `2024-02-15-preview`     | Specifies the API version for Azure OpenAI.                                |
 | `AZURE_OPEN_AI_DEPLOYMENT_MODEL_CAPACITY` | integer | `30`                     | Sets the GPT model capacity.                                               |
 | `AZURE_OPENAI_EMBEDDING_MODEL`            | string  | `text-embedding-ada-002` | Sets the name of the embedding model to use.                               |
-| `AZURE_ENV_IMAGETAG`                      | string  | `latest_migrated`        | Sets the image tag (`latest`, `dev`, `hotfix`, `latest_migrated`, etc.).   |
+| `AZURE_ENV_IMAGETAG`                      | string  | `latest`        | Sets the image tag (`latest`, `dev`, `hotfix`, etc.).   |
 | `AZURE_OPENAI_EMBEDDING_MODEL_CAPACITY`   | integer | `80`                     | Sets the capacity for the embedding model deployment.                      |
 | `AZURE_ENV_LOG_ANALYTICS_WORKSPACE_ID`    | string  | ` ` *(empty)*            | Reuses an existing Log Analytics Workspace instead of creating a new one.  |
 

documents/DeploymentGuide.md

@@ -118,7 +118,7 @@ When you start the deployment, most parameters will have **default values**, but
 | **GPT Model Deployment Capacity**           | Configure capacity for **GPT models** (in thousands).                                                     | 30k                    |
 | **Embedding Model**                         | Default: **text-embedding-ada-002**.                                                                      | text-embedding-ada-002 |
 | **Embedding Model Capacity**                | Set the capacity for **embedding models** (in thousands).                                                 | 80k                    |
-| **Image Tag**                               | Docker image tag to deploy. Common values: `latest`, `dev`, `hotfix`, `latest_migrated`.                  | latest\_migrated       |
+| **Image Tag**                               | Docker image tag to deploy. Common values: `latest`, `dev`, `hotfix`.                  | latest\_migrated       |
 | **Existing Log Analytics Workspace**        | To reuse an existing Log Analytics Workspace ID.                                                          | *(empty)*              |
 
 

infra/main.bicep

@@ -56,7 +56,7 @@ param embeddingModel string = 'text-embedding-ada-002'
 @description('Capacity of the Embedding Model deployment')
 param embeddingDeploymentCapacity int = 80
 
-param imageTag string = 'latest_migrated'
+param imageTag string = 'latest'
 
 param AZURE_LOCATION string=''
 var solutionLocation = empty(AZURE_LOCATION) ? resourceGroup().location : AZURE_LOCATION

infra/main.bicepparam

@@ -10,6 +10,6 @@ param gptModelVersion = readEnvironmentVariable('AZURE_ENV_MODEL_VERSION', '2024
 param azureOpenAIApiVersion = readEnvironmentVariable('AZURE_ENV_OPENAI_API_VERSION', '2024-02-15-preview')
 param gptDeploymentCapacity = int(readEnvironmentVariable('AZURE_OPEN_AI_DEPLOYMENT_MODEL_CAPACITY', '30'))
 param embeddingModel = readEnvironmentVariable('AZURE_OPENAI_EMBEDDING_MODEL', 'text-embedding-ada-002')
-param imageTag = readEnvironmentVariable('AZURE_ENV_IMAGETAG', 'latest_migrated')
+param imageTag = readEnvironmentVariable('AZURE_ENV_IMAGETAG', 'latest')
 param embeddingDeploymentCapacity = int(readEnvironmentVariable('AZURE_OPENAI_EMBEDDING_MODEL_CAPACITY', '80'))
 param existingLogAnalyticsWorkspaceId = readEnvironmentVariable('AZURE_ENV_LOG_ANALYTICS_WORKSPACE_ID', '')