openaifuncmain.cs

static async Task Main(string[] args)
{
    var openaiApiKey = "<azure-openi-key>";
    var openaiEndpoint = "<azure-openi-endpoint>";
    var modelDeploymentName = "gpt-35-turbo"; //azure deployment name

    var credential = new AzureKeyCredential(openaiApiKey);
    var openAIClient = new OpenAIClient(new Uri(openaiEndpoint), credential);

    //get userQuestion from the console
    Console.WriteLine("Ask a question to your user directory: ");
    string userQuestion = Console.ReadLine();

    
    //1. Call Open AI Chat API with the user's question.
    Response<ChatCompletions> result = await CallChatGPT(userQuestion, modelDeploymentName, openAIClient);

    //2. Check if the Chat API decided that for answering the question, a function call to the MS Graph needs to be made.
    var functionCall = result.Value.Choices[0].Message.FunctionCall;
    
    if (functionCall != null)
    {
        Console.WriteLine($"Function Name: {functionCall.Name}, Params: {functionCall.Arguments}");

        if (functionCall.Name == "msgraph_search_users")
        {
            //3. If the MS Graph function call needs to be made, the Chat API will also provide which parameters need to be passed to the function.
            var userSearchParams = JsonSerializer.Deserialize<UserSearchParams>(functionCall.Arguments);

            //3. Call the MS Graph with the parameters provided by the Chat API
            var functionResponse = await CallMSGraph(userSearchParams);

            Console.WriteLine($"Graph Response: {functionResponse}");

            //4. Call the Chat API again with the function response.
            var functionMessages = new List<ChatMessage>();
            functionMessages.Add(new ChatMessage(ChatRole.Assistant, functionCall.Arguments) { Name = functionCall.Name });
            functionMessages.Add(new ChatMessage(ChatRole.Function, functionResponse) { Name = functionCall.Name });

            result = await CallChatGPT(userQuestion, modelDeploymentName, openAIClient, functionMessages);

            //5. Print the final response from the Chat API.
            Console.WriteLine("------------------");
            Console.WriteLine(result.Value.Choices[0].Message.Content);
        }
    }
    else
    {
        //If the LLM decided that a function call is not needed, print the final response from the Chat API.
        Console.WriteLine(result.Value.Choices[0].Message.Content);
    }

}