The article also provides a guide on how to set up and use BOSS, including its key features, architecture, local setup, launching, and agent integration. It explains how to clone the repository, install dependencies, build web components, and start infrastructure services. It also provides instructions on how to integrate new agents into BOSS by subclassing the `WrapperAgent` abstract class and implementing the `process_task` method. The article concludes with information on task states, state transitions, licensing, and additional notes on logging, extensibility, and error handling.
Key takeaways:
- BOSS is an intelligent task orchestration system that leverages Large Language Models (LLMs) to coordinate and execute agent-based workflows. It can break down complex tasks, assign suitable agents, monitor execution progress, handle failures, and optimize workflows in real-time.
- The system is still under development and is not recommended for use in production. It currently focuses on network security related reasoning tasks but can be extended to other domains.
- BOSS uses environment variables for configuration and allows for the integration of new agents by subclassing the 'WrapperAgent' abstract class and implementing the 'process_task' method with the agent's specific logic.
- Tasks in BOSS go through various states for efficient orchestration and tracking, including 'Created', 'In_Progress', 'Completed_Step', 'Failed', 'Awaiting_Human', 'Completed_Workflow', 'Paused', and 'Final_Completion'.