Update models referenced

README.md

@@ -30,7 +30,7 @@ You will need the following items to run the sample:
 
 | AI Service   | Requirement                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             |
 | ------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| Azure OpenAI | - [Access](https://aka.ms/oai/access)<br>- [Resource](https://learn.microsoft.com/azure/ai-services/openai/how-to/create-resource?pivots=web-portal#create-a-resource)<br>- [Deployed models](https://learn.microsoft.com/azure/ai-services/openai/how-to/create-resource?pivots=web-portal#deploy-a-model) (`gpt-35-turbo` and `text-embedding-ada-002`) <br>- [Endpoint](https://learn.microsoft.com/azure/ai-services/openai/tutorials/embeddings?tabs=command-line#retrieve-key-and-endpoint)<br>- [API key](https://learn.microsoft.com/azure/ai-services/openai/tutorials/embeddings?tabs=command-line#retrieve-key-and-endpoint) |
+| Azure OpenAI | - [Access](https://aka.ms/oai/access)<br>- [Resource](https://learn.microsoft.com/azure/ai-services/openai/how-to/create-resource?pivots=web-portal#create-a-resource)<br>- [Deployed models](https://learn.microsoft.com/azure/ai-services/openai/how-to/create-resource?pivots=web-portal#deploy-a-model) (`gpt-4o` and `text-embedding-ada-002`) <br>- [Endpoint](https://learn.microsoft.com/azure/ai-services/openai/tutorials/embeddings?tabs=command-line#retrieve-key-and-endpoint)<br>- [API key](https://learn.microsoft.com/azure/ai-services/openai/tutorials/embeddings?tabs=command-line#retrieve-key-and-endpoint) |
 | OpenAI       | - [Account](https://platform.openai.com/docs/overview)<br>- [API key](https://platform.openai.com/api-keys)                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             |
 
 # Instructions
@@ -66,7 +66,7 @@ You will need the following items to run the sample:
    - `API_KEY`: The `API key` for Azure OpenAI or for OpenAI.
    - `AZURE_OPENAI_ENDPOINT`: The Azure OpenAI resource `Endpoint` address. This is only required when using Azure OpenAI, omit `-Endpoint` if using OpenAI.
 
-   - > **IMPORTANT:** For `AzureOpenAI`, if you deployed models `gpt-35-turbo` and `text-embedding-ada-002` with custom names (instead of the default names), also use the parameters:
+   - > **IMPORTANT:** For `AzureOpenAI`, if you deployed models `gpt-4o` and `text-embedding-ada-002` with custom names (instead of the default names), also use the parameters:
 
      ```powershell
      -CompletionModel {DEPLOYMENT_NAME} -EmbeddingModel {DEPLOYMENT_NAME}
@@ -142,7 +142,7 @@ You will need the following items to run the sample:
       - `AZURE_OPENAI_ENDPOINT`: The Azure OpenAI resource `Endpoint` address.
       - `API_KEY`: The `API key` for Azure OpenAI.
 
-      **IMPORTANT:** If you deployed models `gpt-35-turbo` and `text-embedding-ada-002`
+      **IMPORTANT:** If you deployed models `gpt-4o` and `text-embedding-ada-002`
       with custom names (instead of the default names), you need to specify
       the deployment names with three additional parameters:
 

memorypipeline/appsettings.json

@@ -141,15 +141,15 @@
       // - Auth is the authentication type: "APIKey" or "AzureIdentity".
       // - APIKey is the key generated to access the service.
       // - Endpoint is the service endpoint url.
-      // - Deployment is a completion model (e.g., gpt-35-turbo, gpt-4).
+      // - Deployment is a completion model (e.g., gpt-4, gpt-4o).
       // - APIType is the type of completion model: "ChatCompletion" or "TextCompletion".
       // - MaxRetries is the maximum number of retries for a failed request.
       //
       "AzureOpenAIText": {
         "Auth": "ApiKey",
         //"APIKey": "", // dotnet user-secrets set "SemanticMemory:Services:AzureOpenAIText:APIKey" "MY_AZUREOPENAI_KEY"
         "Endpoint": "",
-        "Deployment": "gpt-35-turbo",
+        "Deployment": "gpt-4o",
         "APIType": "ChatCompletion",
         "MaxRetries": 10
       },
@@ -158,7 +158,7 @@
       // - Auth is the authentication type: "APIKey" or "AzureIdentity".
       // - APIKey is the key generated to access the service.
       // - Endpoint is the service endpoint url.
-      // - Deployment is a embedding model (e.g., gpt-35-turbo, gpt-4).
+      // - Deployment is a embedding model (e.g., gpt-4, gpt-4o).
       //
       "AzureOpenAIEmbedding": {
         "Auth": "ApiKey",
@@ -168,7 +168,7 @@
       },
       //
       // AI completion and embedding configuration for OpenAI services.
-      // - TextModel is a completion model (e.g., gpt-35-turbo, gpt-4).
+      // - TextModel is a completion model (e.g., gpt-4, gpt-4o).
       // - EmbeddingModelSet is an embedding model (e.g., "text-embedding-ada-002").
       // - APIKey is the key generated to access the service.
       // - OrgId is the optional OpenAI organization id/key.

scripts/.env

@@ -1,8 +1,8 @@
 # Default environment file to be read by scripts
 
 # Default values
-ENV_COMPLETION_MODEL_OPEN_AI="gpt-3.5-turbo"
-ENV_COMPLETION_MODEL_AZURE_OPEN_AI="gpt-35-turbo"
+ENV_COMPLETION_MODEL_OPEN_AI="gpt-4o"
+ENV_COMPLETION_MODEL_AZURE_OPEN_AI="gpt-4o"
 ENV_EMBEDDING_MODEL="text-embedding-ada-002"
 ENV_ASPNETCORE="Development"
 ENV_INSTANCE="https://login.microsoftonline.com"

scripts/Variables.ps1

@@ -1,8 +1,8 @@
 # Default environment file to be read by scripts
 
 # Default values
-$varCompletionModelOpenAI = "gpt-3.5-turbo"
-$varCompletionModelAzureOpenAI = "gpt-35-turbo"
+$varCompletionModelOpenAI = "gpt-4o"
+$varCompletionModelAzureOpenAI = "gpt-4o"
 $varEmbeddingModel = "text-embedding-ada-002"
 $varASPNetCore = "Development"
 $varInstance = "https://login.microsoftonline.com"

scripts/deploy/main.bicep

@@ -32,7 +32,7 @@ param webSearcherPackageUri string = 'https://aka.ms/copilotchat/websearcher/lat
 param aiService string = 'AzureOpenAI'
 
 @description('Model to use for chat completions')
-param completionModel string = 'gpt-35-turbo'
+param completionModel string = 'gpt-4o'
 
 @description('Model to use for text embeddings')
 param embeddingModel string = 'text-embedding-ada-002'

scripts/deploy/main.json

@@ -5,7 +5,7 @@
     "_generator": {
       "name": "bicep",
       "version": "0.28.1.47646",
-      "templateHash": "7267170677416144946"
+      "templateHash": "18195377528136882013"
     }
   },
   "parameters": {
@@ -67,7 +67,7 @@
     },
     "completionModel": {
       "type": "string",
-      "defaultValue": "gpt-35-turbo",
+      "defaultValue": "gpt-4o",
       "metadata": {
         "description": "Model to use for chat completions"
       }

webapi/appsettings.json

@@ -309,7 +309,7 @@
       // - Auth is the authentication type: "APIKey" or "AzureIdentity".
       // - APIKey is the key generated to access the service.
       // - Endpoint is the service endpoint url.
-      // - Deployment is a embedding model (e.g., gpt-35-turbo, gpt-4).
+      // - Deployment is an embedding model (e.g., text-embedding-ada-002).
       //
       "AzureOpenAIEmbedding": {
         "Auth": "ApiKey",