8950ab44be
This commit adds the TaskRequestBody class, which is designed to encapsulate the request body when creating a new task. The class includes a toJson method for easy serialization to JSON format. Additionally, unit tests have been written to ensure that the TaskRequestBody object is created with the correct values and that it serializes to the expected JSON structure. - Added TaskRequestBody class with input and optional additionalInput fields. - Implemented toJson method for converting an instance of the class to JSON. - Added unit tests to verify both object creation and JSON serialization. These changes provide a standardized way to manage the request body when creating new tasks, improving the overall code quality and maintainability.
AutoGPT Flutter Client
Description
This repository contains the Flutter client for the AutoGPT project. The application facilitates users in discussing various tasks with a single agent. The app is built to be cross-platform and runs on Web, Android, iOS, Windows, and Mac.
Features
- List and manage multiple tasks.
- Engage in chat conversations related to selected tasks.
Design document
The design document for this project provides a detailed outline of the architecture, components, and other important aspects of this application. Please note that this is a living, growing document and it is subject to change as the project evolves.
You can access the design document here.
Requirements
- Flutter 3.x
- Dart 3.x
Installation
- Clone the repo:
git clone https://github.com/yourusername/auto_gpt_flutter_client.git
- Navigate to the project directory:
cd auto_gpt_flutter_client
- Get Flutter packages:
flutter pub get
- Run the app:
flutter run
Project Structure
lib/: Contains the main source code for the application.models/: Data models that define the structure of the objects used in the app.views/: The UI components of the application.viewmodels/: The business logic and data handling for the views.services/: Contains the service classes that handle communication with backend APIs and other external data sources. These services are used to fetch and update data that the app uses, and they are consumed by the ViewModels.test/: Contains the test files for unit and widget tests.
Responsive Design
The app features a responsive design that adapts to different screen sizes and orientations. On larger screens (Web, Windows, Mac), views are displayed side by side horizontally. On smaller screens (Android, iOS), views are displayed in a tab bar controller layout.
License
This project is licensed under the MIT License - see the LICENSE file for details.