Aworld

🚀 AWorld: Unified Agent Training and Evaluation Platform

AWorld is a unified framework for training and evaluating agents designed for computer and mobile phone usage tasks. It aims to offer a powerful and user - friendly environment for agent developers to test, train, and optimize agent performance in various real - world scenarios.

🚀 Quick Start

📦 Installation

pip install aworld

💻 Usage Examples

Basic Usage

from aworld import World, Agent

# Initialize the world and the agent
world = World()
agent = Agent()

# Submit a task
task_id = world.submit_task("your_task.yaml")
result = agent.execute(task_id)

# Print the result
print(result)

✨ Features

Unified Task Definition

AWorld provides a unified task definition interface, supporting custom tasks and public benchmarks (such as GAIA, WebArena, etc.). Users can quickly define new tasks by writing YAML configuration files.

Stable Execution Environment

The platform offers an efficient and stable execution environment, with built - in debugging tools and monitoring systems to ensure the smooth completion of agent tasks.

Detailed Task Reports

AWorld automatically generates detailed test reports, including the following key metrics:

• Efficiency: The number of steps required to complete the task.
• Success Rate: The task completion rate.
• Cost: The number of tokens consumed.
• Time: The duration of task execution.

Agent Training Support

In addition to the evaluation function, AWorld also provides an agent training interface. Users can continuously optimize agent models based on actual task data and manage different versions of agents through a version control system.

🔧 Technical Details

Core Components

Actor

The agent in AWorld is a component with rich functions, capable of performing various tasks and collaborating with other agents. The following are the main attributes of the agent:

Environment/World Model

AWorld provides a rich toolset and multiple world models to simulate various real - world scenarios:

📚 Documentation

Project Characteristics

Open - Source and Scalability

AWorld is an open - source project, providing a complete code repository and detailed documentation. It supports function extension through a plugin mechanism, allowing developers to add custom tools and services.

Multi - Modal Support

The platform not only supports text interaction but also integrates multiple third - party services (such as network requests, image recognition, etc.) to provide multi - modal capabilities for agents.

Contribution Guidelines

The community is welcome to participate in the development and maintenance of AWorld. We particularly welcome the following types of contributions:

1. Development of new features.
2. Extension of task definitions.
3. Performance optimization.
4. Improvement of documentation.

Please submit Pull Requests or Issues on GitHub to report problems and suggestions.

📄 Project Address

GitHub