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As of the time of writing, you have two options to integrate the Azure OpenAI ChatGPT model with your own data in external applications: AI Studio (Deploy App) and REST API. The provided code exposes a REST API over Azure Function, making it easier to leverage the capabilities of ChatGPT within your applications. By grounding the model with your own data, you unlock its full potential and enable the delivery of dynamic conversational experiences through a convenient API interface. This code empowers you to tap into the rich features of ChatGPT and effortlessly deliver exceptional user interactions.


Example of website search:

Press release:

using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
using Microsoft.AspNetCore.Http;
using Microsoft.AspNetCore.Mvc;
using Newtonsoft.Json;
using Microsoft.Azure.WebJobs;
using Microsoft.Azure.WebJobs.Extensions.Http;
using Microsoft.Extensions.Logging;

public static class ChatGPTCustom
  public static async Task<IActionResult>  Run(
            [HttpTrigger(AuthorizationLevel.Anonymous, "get", "post", Route = null)] HttpRequest req,
            ILogger log)
   log.LogInformation("C# HTTP trigger function processed a request.");

        // Configure in Function->Configuration->applicaiton Settings
        string AOAIEndpoint =   Environment.GetEnvironmentVariable("AOAIEndpoint");
        string AOAIDeploymentId = Environment.GetEnvironmentVariable("AOAIDeploymentId");
        string AOAIKey = Environment.GetEnvironmentVariable("AOAIKey");
        string ChatGptUrl = Environment.GetEnvironmentVariable("ChatGptUrl");
        string ChatGptKey = Environment.GetEnvironmentVariable("ChatGptKey");
        string SearchEndpoint = Environment.GetEnvironmentVariable("SearchEndpoint");
        string SearchKey = Environment.GetEnvironmentVariable("SearchKey");
        string SearchIndex = Environment.GetEnvironmentVariable("SearchIndex");

        // Read the request body
       // string requestBody = await new StreamReader(req.Body).ReadToEndAsync();
            string userMessage = req.Query["userMessage"];

        // Prepare the request payload
        var payload = new
            dataSources = new[]
                    type = "AzureCognitiveSearch",
                    parameters = new
                        endpoint = SearchEndpoint,
                        key = SearchKey,
                        indexName = SearchIndex
            messages = new[]
                    role = "user",
                    content = userMessage

        // Create an HttpClient instance
        using (HttpClient client = new HttpClient())
            // Set the request headers
            client.DefaultRequestHeaders.Add("api-key", AOAIKey);
            client.DefaultRequestHeaders.Add("chatgpt_url", ChatGptUrl);
            client.DefaultRequestHeaders.Add("chatgpt_key", ChatGptKey);

            // Serialize the payload
            string serializedPayload = JsonConvert.SerializeObject(payload);

            // Create the request content
            StringContent content = new StringContent(serializedPayload, System.Text.Encoding.UTF8, "application/json");

            // Make the POST request
            HttpResponseMessage response = await client.PostAsync($"{AOAIEndpoint}/openai/deployments/{AOAIDeploymentId}/extensions/chat/completions?api-version=2023-06-01-preview", content);

            // Read the response content
            string responseContent = await response.Content.ReadAsStringAsync();

            // Return the response from the API
            return new ContentResult
                Content = responseContent,
                ContentType = "application/json",
                StatusCode = (int)response.StatusCode

        catch (Exception ex)
            return new ContentResult
                Content = $"An error occurred: {ex.Message}",
                ContentType = "text/plain",
                StatusCode = 500