Updating ASP.NET MVC view after multiple async OpenAI API calls

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1

I’m working on an ASP.NET MVC app that makes several OpenAI API calls at once. I want these calls to run in parallel and then update the view when all results are back. Here’s a part of my code:

foreach (var message in messageList)
{
    var singleMessage = new List<ChatMessage> { message };
    var aiResponse = await aiClient.GetChatCompletionAsync(singleMessage, options);
    
    if (aiResponse.Success && aiResponse.Data != null)
    {
        resultList.Add(aiResponse.Data.Choices[0].Message.Content);
    }
}

Each item in resultList is JSON from OpenAI that I process later. I’m not sure if this is truly async. Am I using await correctly here?

Also, the webpage doesn’t refresh after getting and processing all results. It just stays the same. How can I make the view update in my ASP.NET MVC app?

Any help would be great! Thanks!

2

I’ve dealt with similar challenges in ASP.NET MVC applications. Your intuition about the async implementation is correct - it’s not fully optimized. To improve performance, consider using Task.WhenAll() for parallel execution of API calls.

Regarding view updates, you’ll need to implement some client-side logic. AJAX is a solid choice here. Send your processed results back as JSON from your controller action, then use JavaScript to update the DOM accordingly.

One often overlooked aspect is error handling. OpenAI’s API can be temperamental, so robust error management is crucial. Also, don’t forget about rate limiting - you might need to implement a queue system if you’re making numerous API calls.

Lastly, ensure your controller action is fully async (Task) for consistent performance. With these adjustments, you should see significant improvements in both execution speed and user experience.

3

Your code isn’t fully leveraging async capabilities. To run API calls in parallel, consider using Task.WhenAll(). Here’s an improved approach:

var tasks = messageList.Select(message => aiClient.GetChatCompletionAsync(new List<ChatMessage> { message }, options));
var responses = await Task.WhenAll(tasks);

var resultList = responses
    .Where(r => r.Success && r.Data != null)
    .Select(r => r.Data.Choices[0].Message.Content)
    .ToList();

For updating the view, you need to send the results back to the client. In your controller action, return a JsonResult with the processed data. Then use JavaScript to update the DOM when the AJAX call completes.

Controller:

return Json(new { success = true, data = resultList });

JavaScript:

$.ajax({
    url: '/YourController/YourAction',
    success: function(response) {
        if (response.success) {
            // Update your view with response.data
        }
    }
});

This approach should solve both your async execution and view updating issues.

4

hey, i’ve run into this too. try Task.WhenAll() to batch your api calls & then ajax to update ur view. also, keep an eye on those timeouts, they can trip u up if not managed. good luck!

5

I’ve been in a similar situation, and I can tell you that async operations in ASP.NET MVC can be tricky. Your current setup isn’t maximizing parallelism.

Here’s what worked for me: I used Task.WhenAll() to run the API calls concurrently. It made a huge difference in performance.

For updating the view, I found SignalR to be a game-changer. It allows real-time updates without refreshing the page. You set up a hub on the server-side and connect to it from your JavaScript. Then you can push updates to the client as they happen.

Remember to handle errors properly. OpenAI API can sometimes fail or timeout. I learned this the hard way when my app crashed in production.

Also, consider caching results if applicable. It can significantly reduce API calls and improve response times.

Lastly, make sure your controller action is async all the way. Return Task and use async/await consistently throughout your method.