openaimsgraphsearchmain.cs

static async Task Main(string[] args)
{
    string endpoint = "<azure-openi-key>";
    string key = "<azure-openi-endpoint>";
    string deploymentName = "gpt-4o";

    var azureOpenAIClient = new AzureOpenAIClient(new Uri(endpoint), new ApiKeyCredential(key));


    //get userQuestion from the console
    Console.WriteLine("What would you like to search?: ");
    string userQuestion = Console.ReadLine();


    //1. Call Open AI Chat API with the user's question.
    var chatCompletionResponse = await CallOpenAIAPI(userQuestion, deploymentName, azureOpenAIClient);

    //2. Check if the Chat API decided that for answering the question, a function call to the MS Graph needs to be made.
    if (chatCompletionResponse.Value.FinishReason == ChatFinishReason.ToolCalls)
    {
        string functionName = chatCompletionResponse.Value.ToolCalls[0].FunctionName;
        BinaryData functionArguments = chatCompletionResponse.Value.ToolCalls[0].FunctionArguments;
        string toolCallId = chatCompletionResponse.Value.ToolCalls[0].Id;

        Console.WriteLine($"Function Name: {functionName}, Params: {functionArguments}");

        if (functionName == "search_microsoft365_documents")
        {
            //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 searchParams = JsonSerializer.Deserialize<M365SearchQueryParams>(functionArguments);

            //4. Call the MS Graph with the parameters provided by the Chat API
            var functionResponse = await ExecuteMicrosoft365SearchWithGraph(searchParams.searchQuery);

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

            //5. Call the Chat API again with the function response.
            var functionMessages = new List<OpenAI.Chat.ChatMessage>
            {
                new AssistantChatMessage(new List<ChatToolCall>() { ChatToolCall.CreateFunctionToolCall(toolCallId, functionName, functionArguments) }),
                new ToolChatMessage(toolCallId, functionResponse)
            };

            chatCompletionResponse = await CallOpenAIAPI(userQuestion, deploymentName, azureOpenAIClient, functionMessages);

            //6. Print the final response from the Chat API.
            Console.WriteLine("------------------");
            Console.WriteLine(chatCompletionResponse.Value.Content[0].Text);
        }
    }
    else
    {
        //If the LLM decided that a function call is not needed, print the final response from the Chat API.
        Console.WriteLine(chatCompletionResponse.Value.Content[0].Text);
    }
}