update example

Author: pollyndos

README.md

@@ -15,28 +15,24 @@ The AI assistant's role depends on the associated DevExpress Reports component:
 
 **Please note that AI Assistant initialization takes time. The assistant tab appears once Microsoft Azure scans the source document on the server side.**
 
-> [!NOTE]
-> To run this project with an Early Access Preview build (EAP), install npm packages:
->
-> ```
->	npm install --legacy-peer-deps
-> ```
-
 ## Implementation Details
 
 ### Common Settings
 
 #### Add Personal Keys
 
+> [!NOTE]  
+> DevExpress AI-powered extensions follow the "bring your own key" principle. DevExpress does not offer a REST API and does not ship any built-in LLMs/SLMs. You need an active Azure/Open AI subscription to obtain the REST API endpoint, key, and model deployment name. These variables must be specified at application startup to register AI clients and enable DevExpress AI-powered Extensions in your application.
+
 You need to create an Azure OpenAI resource in the Azure portal to use AI Assistants for DevExpress Reporting. Refer to the following help topic for details: [Microsoft - Create and deploy an Azure OpenAI Service resource](https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/create-resource?pivots=web-portal).
 
 Once you obtain a private endpoint and an API key, register them as `OPENAI_ENDPOINT` and `OPENAI_APIKEY` environment variables. The [EnvSettings.cs](./CS/ReportingApp/EnvSettings.cs) reads these settings. `DeploymentName` in this file is a name of your Azure model, for example, `GPT4o`:
 
 ```cs
 public static class EnvSettings {
-        public static string AzureOpenAIEndpoint { get { return Environment.GetEnvironmentVariable("OPENAI_ENDPOINT"); } }
-        public static string AzureOpenAIKey { get { return Environment.GetEnvironmentVariable("OPENAI_APIKEY"); } }
-        public static string DeploymentName { get { return "GPT4o"; } }
+    public static string AzureOpenAIEndpoint { get { return Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT"); } }
+    public static string AzureOpenAIKey { get { return Environment.GetEnvironmentVariable("AZURE_OPENAI_APIKEY"); } }
+    public static string DeploymentName { get { return "GPT4o"; } }
 }
 ```
 
@@ -49,12 +45,19 @@ Register AI services in your application. Add the following code to the _Program
 
 ```cs
 using DevExpress.AIIntegration;
+using Azure;
+using Azure.AI.OpenAI;
+using Microsoft.Extensions.AI;
+using System;
 // ...
-builder.Services.AddDevExpressAI((config) => {
-    var client = new AzureOpenAIClient(new Uri(EnvSettings.AzureOpenAIEndpoint), new AzureKeyCredential(EnvSettings.AzureOpenAIKey));
-    var deployment = EnvSettings.DeploymentName;
-    config.RegisterChatClientOpenAIService(client, deployment);
-    config.RegisterOpenAIAssistants(client, deployment);
+var azureOpenAIClient = new AzureOpenAIClient(
+    new Uri(EnvSettings.AzureOpenAIEndpoint),
+    new AzureKeyCredential(EnvSettings.AzureOpenAIKey));
+    
+var chatClient = azureOpenAIClient.AsChatClient(EnvSettings.DeploymentName);
+builder.Services.AddDevExpressAI(config =>
+{
+    config.RegisterOpenAIAssistants(azureOpenAIClient, EnvSettings.DeploymentName);
 });
 ```
 
@@ -267,6 +270,10 @@ onMessageSend: (e) => {
 - [AIController.cs](./CS/ReportingApp/Controllers/AIController.cs)
 - [aiIntegration.js](./CS/ReportingApp/wwwroot/js/aiIntegration.js)
 
+## Documentation 
+
+- [AI-powered Extensions for DevExpress Reporting](https://docs.devexpress.com/XtraReports/405211/ai-powered-functionality/ai-for-devexpress-reporting?v=24.2)
+
 ## More Examples
 
 - [Reporting for ASP.NET Core - Summarize and Translate DevExpress Reports Using Azure OpenAI](https://github.com/DevExpress-Examples/reporting-aspnet-core-ai-summarize-and-translate)