Governance
In the LLM Agentic Tool Mesh platform, the management of LLM tools is decentralized, allowing for flexibility and innovation. However, to ensure that this decentralization does not compromise the platform's integrity, LLM Agentic Tool Mesh implements a unified framework of governance policies and standards. This federated governance approach is designed to maintain consistency, ethical integrity, and overall quality across the platform.
- Interoperable Standards: The platform establishes standards that ensure all tools and services can work together seamlessly while adhering to best practices.
- Ethical Compliance: Strong emphasis is placed on minimizing biases, ensuring fairness, and upholding ethical principles across all AI tools and models.
- Security and Privacy: Rigorous standards are maintained to protect data and ensure compliance with privacy regulations.
- Continuous Improvement: Feedback mechanisms and ongoing collaboration within the Athon are crucial for refining governance practices, ensuring they evolve alongside emerging technologies and challenges.
- Automated Governance: The platform currently emphasizes code quality through rigorous Testing, and in the future, we plan to extend these checks to enforce governance policies as well, ensuring comprehensive compliance and quality management across the platform.
To support this governance framework, LLM Agentic Tool Mesh includes a dedicated folder containing text files that outline the various policies and standards currently in place. These documents cover essential areas such as LLM Model usage, RAG (Retrieval-Augmented Generation) processes, and more.
At present, these policies serve as guidelines that help shape the development and use of tools within the LLM Agentic Tool Mesh platform. While they are currently used primarily for design purposes, there is potential for these standards to be integrated into future services, where they could automatically check the compliance of tools created with the library.
