Automating Task Organization with the openai-dotnet Library
Tags: chatgpt, csharp, dotnet, iot
Published: 2024-07-13 15:22:44

## Introduction

Productivity is a goal we all strive for, especially in a world where the to-do list seems never-ending. Fortunately, technology is here to help! In this article, we'll explore how to integrate GPT Chat with the [openai-dotnet library](https://github.com/openai/openai-dotnet) to create a productivity assistant that organizes your tasks, prioritizes what's most important, and even offers personalized tips to improve your efficiency.

## What is the openai-dotnet Library?
The openai-dotnet library is an amazing tool that allows developers to easily integrate GPT language models into their .NET applications. It's like having a super-intelligent virtual assistant by your side, ready to help in any situation.

## Creating the Productivity Assistant
Let's start by creating a productivity assistant that does everything except wash the dishes. Here is the code we used:

```csharp
using OpenAI.Chat;

public class TaskOrganizer
{
    private readonly ChatClient _chatClient;

    public TaskOrganizer(string apiKey)
    {
        _chatClient = new(model: "gpt-4o", apiKey);
    }

    public async Task<string> OrganizeTasksAsync(string taskList)
    {
        var prompt = $"Organize the following tasks by category and importance:\n\n{taskList}";
        var completion = await _chatClient.CompleteChatAsync(prompt);
        return completion.Value.ToString();
    }

    public async Task<string> PrioritizeTasksAsync(string organizedTasks)
    {
        var prompt = $"Based on the following organized tasks, suggest a priority list:\n\n{organizedTasks}";
        var completion = await _chatClient.CompleteChatAsync(prompt);
        return completion.Value.ToString();
    }

    public async Task<string> GetProductivityTipsAsync(string taskDetails)
    {
        var prompt = $"Based on the following task details, provide personalized productivity tips:\n\n{taskDetails}";
        var completion = await _chatClient.CompleteChatAsync(prompt);
        return completion.Value.ToString();
    }
}

```

## Program Implementation
Now, let's configure the main program to use our TaskOrganizer class:

Don't forget to create your appsettings.json

```json
{
  "OpenAI": {
    "ApiKey": "<your-key>"
  }
}
```
After that:

```csharp
using Microsoft.Extensions.Configuration;

class Program
{
    public static async Task Main(string[] args)
    {
        var configuration = new ConfigurationBuilder()
            .SetBasePath(Directory.GetCurrentDirectory())
            .AddJsonFile("appsettings.json", optional: false, reloadOnChange: true)
            .Build();

        var apiKey = configuration["OpenAI:ApiKey"];
        var assistant = new ProductivityAssistant(apiKey);
        await assistant.Run();
    }
}

public class ProductivityAssistant
{
    private readonly TaskOrganizer _taskOrganizer;

    public ProductivityAssistant(string apiKey)
    {
        _taskOrganizer = new TaskOrganizer(apiKey);
    }

    public async Task Run()
    {
        string taskList = "1. Complete project report\n2. Attend team meeting\n3. Respond to client emails\n4. Plan next week's schedule";
        string organizedTasks = await _taskOrganizer.OrganizeTasksAsync(taskList);
        Console.WriteLine($"Organized Tasks: {organizedTasks}\n\n");

        string priorityList = await _taskOrganizer.PrioritizeTasksAsync(organizedTasks);
        Console.WriteLine($"Priority List: {priorityList}\n\n");

        string taskDetails = "1. Complete project report - High importance, deadline tomorrow\n2. Attend team meeting - Medium importance, scheduled for 3 PM\n3. Respond to client emails - High importance, response needed by end of day\n4. Plan next week's schedule - Low importance, can be done anytime";
        string productivityTips = await _taskOrganizer.GetProductivityTipsAsync(taskDetails);
        Console.WriteLine($"Productivity Tips: {productivityTips}\n\n");
    }
}

```

## Conclusion

Integrating GPT Chat with the openai-dotnet library is like having an intelligent personal assistant that helps you organize your tasks, prioritize what really matters and even offers tips to increase productivity. This approach not only keeps tasks in order, but also provides valuable insights to improve personal and team efficiency.

Try this integration in your own projects and discover how artificial intelligence can transform the way you manage your time and tasks. After all, who wouldn't like a little magic in their daily work?


## Additional Notes

1. Make sure you have your OpenAI API key configured correctly in the appsettings.json file.
2. Experiment with adjusting the prompts to get different results that better suit your specific needs.
3. Stay tuned for updates to the openai-dotnet library to take advantage of new features and improvements.

## Example Code
To see the full code for the example discussed in this article, visit the [repository on GitHub](https://github.com/AlissonPodgurskiSolution/ProductivityAssistant).