982586: added UG for the Azure Open AI integration with the AI assistview component in the Core and MVC platform

ej2-asp-core-mvc/ai-assistview/EJ2_ASP.MVC/ai-integrations/gemini-integration.md

@@ -14,7 +14,7 @@ The Syncfusion AI AssistView supports integration with [Gemini](https://ai.googl
 
 ## Getting Started With the AI AssistView control
 
-Before integrating Gemini AI, ensure that the Syncfusion AI AssistView control is correctly rendered in your Vue application:
+Before integrating Gemini AI, ensure that the Syncfusion AI AssistView control is correctly rendered in your MVC application:
 
 [ MVC Getting Started Guide](../getting-started)
 

ej2-asp-core-mvc/ai-assistview/EJ2_ASP.MVC/ai-integrations/ollama-llm-integration.md

@@ -14,7 +14,7 @@ The Syncfusion AI AssistView supports integration with [LLM via Ollama](https://
 
 ## Getting Started With the AI AssistView control
 
-Before integrating LLM Model, ensure that the Syncfusion AI AssistView control is correctly rendered in your Vue application:
+Before integrating LLM Model, ensure that the Syncfusion AI AssistView control is correctly rendered in your MVC application:
 
 [ MVC Getting Started Guide](../getting-started)
 

ej2-asp-core-mvc/ai-assistview/EJ2_ASP.MVC/ai-integrations/openai-integration.md

@@ -1,26 +1,26 @@
 ---
 layout: post
-title: Open AI in ##Platform_Name## AI AssistView Control | Syncfusion
-description: Checkout and learn about Integration of Open AI in Syncfusion ##Platform_Name## AI AssistView control of Syncfusion Essential JS 2 and more.
+title: Azure Open AI in ##Platform_Name## AI AssistView Control | Syncfusion
+description: Checkout and learn about Integration of Azure Open AI in Syncfusion ##Platform_Name## AI AssistView control of Syncfusion Essential JS 2 and more.
 platform: ej2-asp-core-mvc
-control: Open AI
+control: Azure Open AI
 publishingplatform: ##Platform_Name##
 documentation: ug
 ---
 
-# Integration of Open AI With AI AssistView control
+# Integration of Azure Open AI With AI AssistView control
 
-The Syncfusion AI AssistView supports integration with [OpenAI](https://platform.openai.com/docs/overview), enabling advanced conversational AI features in your MVC applications.
+The Syncfusion AI AssistView supports integration with [Azure Open AI](https://microsoft.github.io/PartnerResources/skilling/ai-ml-academy/resources/openai), enabling advanced conversational AI features in your Angular applications.
 
 ## Getting Started With the AI AssistView control
 
-Before integrating Open AI, ensure that the Syncfusion AI AssistView control is correctly rendered in your Vue application:
+Before integrating Azure Open AI, ensure that the Syncfusion AI AssistView control is correctly rendered in your MVC application:
 
 [ MVC Getting Started Guide](../getting-started)
 
 ## Prerequisites
 
-* OpenAI account to generate an API key for accessing the `OpenAI` API
+* An Azure account with access to `Azure Open AI` services and a generated API key.
 * [System requirements for ASP.NET MVC controls](https://ej2.syncfusion.com/aspnetmvc/documentation/system-requirements) to create MVC application
 
 ## Install Packages
@@ -33,35 +33,39 @@ NuGet\Install-Package Syncfusion.EJ2.MVC5
 
 ```
 
-Install the Open AI package in the application using Package Manager Console.
+Install the Open AI and Azure Open AI package in the application using Package Manager Console.
 
 ```bash
 
 NuGet\Install-Package OpenAI
-
+NuGet\Install-Package Azure.AI.OpenAI
+NuGet\Install-Package Azure.Core
+
 ```
 
-## Generate API Key
+## Configure Azure Open AI
 
-1. Go to [Open AI](https://platform.openai.com/docs/overview) and sign in with your Google account. If you don’t have one, create a new account. 
+1. Log in to the [Azure Portal](https://portal.azure.com/#home) and navigate to your Azure Open AI resource.
 
-2. Once logged in, click on your profile icon in the top-right corner and select `API Keys` from the dropdown menu.  
+2. Under Resource Management, select Keys and Endpoint to retrieve your API key and endpoint URL.  
 
-3. Click the `+ Create new secret key` button. You’ll be prompted to name the key (optional). Confirm to generate the key. 
+3. Copy the API key, endpoint, and deployment name (e.g., gpt-4o-mini). Ensure the API version (e.g., 2024-07-01-preview) matches your resource configuration.
 
-4. Your API key will be displayed once. Copy it and store it securely, as it won’t be shown again.
+4. Store these values securely, as they will be used in your application.
 
-> `Security Note`: Never commit the API key to version control. Use environment variables or a secret manager for production.
+> `Security Note`: expose your API key in client-side code for production applications. Use a server-side proxy or environment variables to manage sensitive information securely.
 
-##  Integration Open AI with AI AssistView
+##  Integration Azure Open AI with AI AssistView
 
 You can add the below respective files in your application:
 
-* Add your generated `API Key` at the line in .cs file
+* Update the following configuration values with your Azure Open AI details:
 
 ```bash
 
-string apiKey = 'Place your API key here';
+string endpoint = "Your_Azure_OpenAI_Endpoint";
+string apiKey = "Your_Azure_OpenAI_API_Key";
+string deploymentName = "Your_Deployment_Name";
 
 ```
 
@@ -74,12 +78,12 @@ string apiKey = 'Place your API key here';
 {% endhighlight %}
 {% endtabs %}
 
-![Open AI](../../images/open-ai.png)
+![Azure Open AI](../../images/open-ai.png)
 
 ## Run and Test
 
 Run the application in the browser using the following command.
 
 Build and run the app (Ctrl + F5).
 
-Open `https://localhost:44321` to interact with your Open AI for dynamic response.
+Open `https://localhost:44321` to interact with your Azure Open AI for dynamic response.

ej2-asp-core-mvc/ai-assistview/EJ2_ASP.NETCORE/ai-integrations/gemini-integration.md

@@ -14,7 +14,7 @@ The Syncfusion AI AssistView supports integration with [Gemini](https://ai.googl
 
 ## Getting Started With the AI AssistView control
 
-Before integrating Gemini AI, ensure that the Syncfusion AI AssistView control is correctly rendered in your Vue application:
+Before integrating Gemini AI, ensure that the Syncfusion AI AssistView control is correctly rendered in your Core application:
 
 [ ASP.NET CORE Getting Started Guide](../getting-started)
 

ej2-asp-core-mvc/ai-assistview/EJ2_ASP.NETCORE/ai-integrations/ollama-llm-integration.md

@@ -14,7 +14,7 @@ The Syncfusion AI AssistView supports integration with [LLM via Ollama](https://
 
 ## Getting Started With the AI AssistView control
 
-Before integrating LLM Model, ensure that the Syncfusion AI AssistView control is correctly rendered in your Vue application:
+Before integrating LLM Model, ensure that the Syncfusion AI AssistView control is correctly rendered in your Core application:
 
 [ CORE Getting Started Guide](../getting-started)
 

ej2-asp-core-mvc/ai-assistview/EJ2_ASP.NETCORE/ai-integrations/openai-integration.md

@@ -1,26 +1,26 @@
 ---
 layout: post
-title: Open AI in ##Platform_Name## AI AssistView Control | Syncfusion
-description: Checkout and learn about Integration of Open AI in Syncfusion ##Platform_Name## AI AssistView control of Syncfusion Essential JS 2 and more.
+title: Azure Open AI in ##Platform_Name## AI AssistView Control | Syncfusion
+description: Checkout and learn about Integration of Azure Open AI in Syncfusion ##Platform_Name## AI AssistView control of Syncfusion Essential JS 2 and more.
 platform: ej2-asp-core-mvc
-control: Open AI
+control: Azure Open AI
 publishingplatform: ##Platform_Name##
 documentation: ug
 ---
 
-# Integration of Open AI With AI AssistView control
+# Integration of Azure Open AI With AI AssistView control
 
-The Syncfusion AI AssistView supports integration with [OpenAI](https://platform.openai.com/docs/overview), enabling advanced conversational AI features in your Core applications.
+The Syncfusion AI AssistView supports integration with [Azure Open AI](https://microsoft.github.io/PartnerResources/skilling/ai-ml-academy/resources/openai), enabling advanced conversational AI features in your Angular applications.
 
 ## Getting Started With the AI AssistView control
 
-Before integrating Open AI, ensure that the Syncfusion AI AssistView control is correctly rendered in your Vue application:
+Before integrating Azure Open AI, ensure that the Syncfusion AI AssistView control is correctly rendered in your Core app:
 
 [ CORE Getting Started Guide](../getting-started)
 
 ## Prerequisites
 
-* OpenAI account to generate an API key for accessing the `OpenAI` API
+* An Azure account with access to `Azure Open AI` services and a generated API key.
 * [System requirements for ASP.NET MVC controls](https://ej2.syncfusion.com/aspnetmvc/documentation/system-requirements) to create Core application
 
 ## Install Packages
@@ -33,35 +33,39 @@ NuGet\Install-Package Syncfusion.EJ2.AspNet.Core
 
 ```
 
-Install the Open AI package in the application using Package Manager Console.
+Install the Open AI and Azure Open AI package in the application using Package Manager Console.
 
 ```bash
 
-NuGet\Install-Package
-
+NuGet\Install-Package OpenAI
+NuGet\Install-Package Azure.AI.OpenAI
+NuGet\Install-Package Azure.Core
+
 ```
 
-## Generate API Key
+## Configure Azure Open AI
 
-1. Go to [Open AI](https://platform.openai.com/docs/overview) and sign in with your Google account. If you don’t have one, create a new account. 
+1. Log in to the [Azure Portal](https://portal.azure.com/#home) and navigate to your Azure Open AI resource. 
 
-2. Once logged in, click on your profile icon in the top-right corner and select `API Keys` from the dropdown menu.  
+2. Under Resource Management, select Keys and Endpoint to retrieve your API key and endpoint URL.  
 
-3. Click the `+ Create new secret key` button. You’ll be prompted to name the key (optional). Confirm to generate the key. 
+3. Copy the API key, endpoint, and deployment name (e.g., gpt-4o-mini). Ensure the API version (e.g., 2024-07-01-preview) matches your resource configuration. 
 
-4. Your API key will be displayed once. Copy it and store it securely, as it won’t be shown again.
+4. Store these values securely, as they will be used in your application.
 
-> `Security Note`: Never commit the API key to version control. Use environment variables or a secret manager for production.
+> `Security Note`: Never expose your API key in client-side code for production applications. Use a server-side proxy or environment variables to manage sensitive information securely.
 
-##  Integration Open AI with AI AssistView
+##  Integration Azure Open AI with AI AssistView
 
 You can add the below respective files in your application:
 
-* Add your generated `API Key` at the line in .cs file
+* Update the following configuration values with your Azure Open AI details:
 
 ```bash
 
-string apiKey = 'Place your API key here';
+string endpoint = "Your_Azure_OpenAI_Endpoint";
+string apiKey = "Your_Azure_OpenAI_API_Key";
+string deploymentName = "Your_Deployment_Name";
 
 ```
 
@@ -74,12 +78,12 @@ string apiKey = 'Place your API key here';
 {% endhighlight %}
 {% endtabs %}
 
-![Open AI](../../images/open-ai.png)
+![Azure Open AI](../../images/open-ai.png)
 
 ## Run and Test
 
 Run the application in the browser using the following command.
 
 Build and run the app (Ctrl + F5).
 
-Open `https://localhost:44321` to interact with your Open AI for dynamic response.
+Open `https://localhost:44321` to interact with your Azure Open AI for dynamic response.

ej2-asp-core-mvc/code-snippet/ai-assistview/ai-integrations/gemini-ai/geminicore.cs

@@ -77,4 +77,3 @@ public class ToolbarItemModel
             public string iconCss { get; set; }
         }
     }
-}

ej2-asp-core-mvc/code-snippet/ai-assistview/ai-integrations/gemini-ai/geminimvc.cs

@@ -48,16 +48,16 @@ public async Task<IActionResult> GetAIResponse([FromBody] PromptRequest request)
 
                 if (string.IsNullOrEmpty(responseText?.Text))
                 {
-                    _logger.LogError("OpenAI API returned no text.");
-                    return BadRequest("No response from OpenAI.");
+                    _logger.LogError("Gemini API returned no text.");
+                    return BadRequest("No response from Gemini.");
                 }
 
-                _logger.LogInformation("OpenAI response received: {Response}", responseText?.Text);
+                _logger.LogInformation("Gemini response received: {Response}", responseText?.Text);
                 return Json(responseText?.Text);
             }
             catch (Exception ex)
             {
-                _logger.LogError("Exception in OpenAI call: {Message}", ex.Message);
+                _logger.LogError("Exception in Gemini call: {Message}", ex.Message);
                 return BadRequest($"Error generating response: {ex.Message}");
             }
         }

ej2-asp-core-mvc/code-snippet/ai-assistview/ai-integrations/gemini-ai/razor

@@ -83,7 +83,6 @@
                 streamResponse(text);
             })
             .catch(error => {
-                console.error('Error fetching AI response:', error);
                 assistObj.addPromptResponse('⚠️ Something went wrong while connecting to the AI service. Please try again later.');
                 stopStreaming = true;
             });

ej2-asp-core-mvc/code-snippet/ai-assistview/ai-integrations/gemini-ai/tagHelper

@@ -79,7 +79,6 @@
                 streamResponse(text);
             })
             .catch(error => {
-                console.error('Error fetching AI response:', error);
                 assistObj.addPromptResponse('⚠️ Something went wrong while connecting to the AI service. Please try again later.');
                 stopStreaming = true;
             });

ej2-asp-core-mvc/code-snippet/ai-assistview/ai-integrations/open-ai/openaicore.cs

@@ -1,5 +1,6 @@
 using OpenAI;
-
+using Azure;
+using Azure.AI.OpenAI;
 namespace WebApplication4.Pages
 {
     public class IndexModel : PageModel
@@ -38,25 +39,32 @@ public async Task<IActionResult> OnPostGetAIResponse([FromBody] PromptRequest re
                     return BadRequest("Prompt cannot be empty.");
                 }
 
-                string apiKey = ""; // Replace with your OpenAI API key
-                var openAiClient = new OpenAIClient(apiKey);
-                var chatClient = openAiClient.GetChatClient("gpt-4o-mini"); // Use your preferred model, e.g., "gpt-4o-mini" or "gpt-4o"
+                string endpoint = ""; // Replace with your Azure OpenAI endpoint
+                string apiKey = ""; // Replace with your Azure OpenAI API key
+                string deploymentName = ""; // Replace with your Azure OpenAI deployment name (e.g., gpt-4o-mini)
 
-                ChatCompletion completion = await chatClient.CompleteChatAsync(request.Prompt);
-                string responseText = completion.Content[0].Text;
+                var credential = new AzureKeyCredential(apiKey); 
+                var client = new AzureOpenAIClient(new Uri(endpoint), credential);
+                var chatClient = client.GetChatClient(deploymentName);
 
+                var chatCompletionOptions = new ChatCompletionOptions();
+                var completion = await chatClient.CompleteChatAsync(
+                    new[] { new UserChatMessage(request.Prompt) },
+                    chatCompletionOptions
+                );
+                string responseText = completion.Value.Content[0].Text;
                 if (string.IsNullOrEmpty(responseText))
                 {
-                    _logger.LogError("OpenAI API returned no text.");
-                    return BadRequest("No response from OpenAI.");
+                    _logger.LogError("Azure OpenAI API returned no text.");
+                    return BadRequest("No response from Azure OpenAI.");
                 }
 
-                _logger.LogInformation("OpenAI response received: {Response}", responseText);
+                _logger.LogInformation("Azure OpenAI response received: {Response}", responseText);
                 return new JsonResult(responseText);
             }
             catch (Exception ex)
             {
-                _logger.LogError("Exception in Gemini call: {Message}", ex.Message);
+                _logger.LogError("Exception in Azure OpenAI call: {Message}", ex.Message);
                 return BadRequest($"Error generating response: {ex.Message}");
             }
         }
@@ -79,4 +87,3 @@ public class ToolbarItemModel
             public string iconCss { get; set; }
         }
     }
-}

ej2-asp-core-mvc/code-snippet/ai-assistview/ai-integrations/open-ai/openaimvc.cs

@@ -1,4 +1,7 @@
 using OpenAI;
+using OpenAI.Chat;
+using Azure;
+using Azure.AI.OpenAI;
 
 namespace AssistViewDemo.Controllers
 {
@@ -37,25 +40,34 @@ public async Task<IActionResult> GetAIResponse([FromBody] PromptRequest request)
                     return BadRequest("Prompt cannot be empty.");
                 }
 
-                string apiKey = ""; // Replace with your OpenAI API key
-                var openAiClient = new OpenAIClient(apiKey);
-                var chatClient = openAiClient.GetChatClient("gpt-4o-mini"); // Use your preferred model, e.g., "gpt-4o-mini" or "gpt-4o"
+                // Azure OpenAI configuration
+                string endpoint = ""; // Replace with your Azure OpenAI endpoint
+                string apiKey = ""; // Replace with your Azure OpenAI API key
+                string deploymentName = ""; // Replace with your Azure OpenAI deployment name (e.g., gpt-4o-mini)
 
-                OpenAI.Chat.ChatCompletion completion = await chatClient.CompleteChatAsync(request.Prompt);
-                string responseText = completion.Content[0].Text;
+                var credential = new AzureKeyCredential(apiKey);
+                var client = new AzureOpenAIClient(new Uri(endpoint), credential); 
+                var chatClient = client.GetChatClient(deploymentName);
 
+                var chatCompletionOptions = new ChatCompletionOptions();
+                var completion = await chatClient.CompleteChatAsync(
+                    new[] { new UserChatMessage(request.Prompt) },
+                    chatCompletionOptions
+                );
+
+                string responseText = completion.Value.Content[0].Text;
                 if (string.IsNullOrEmpty(responseText))
                 {
-                    _logger.LogError("OpenAI API returned no text.");
-                    return BadRequest("No response from OpenAI.");
+                    _logger.LogError("Azure OpenAI API returned no text.");
+                    return BadRequest("No response from Azure OpenAI.");
                 }
 
-                _logger.LogInformation("OpenAI response received: {Response}", responseText);
+                _logger.LogInformation("Azure OpenAI response received: {Response}", responseText);
                 return Json(responseText);
             }
             catch (Exception ex)
             {
-                _logger.LogError("Exception in OpenAI call: {Message}", ex.Message);
+                _logger.LogError("Exception in Azure OpenAI call: {Message}", ex.Message);
                 return BadRequest($"Error generating response: {ex.Message}");
             }
         }