Would you use this LLM routing tool? (github.com)

A new routing tool for large language models (LLMs), called Basis Router, has been released, enabling developers to efficiently manage LLM requests across multiple platforms such as Anthropic, OpenAI, and Gemini. This system incorporates advanced features like intelligent chunking, which breaks down queries into manageable sizes, and result aggregation, ensuring that responses are both accurate and cost-effective. Installation is straightforward via pip, and setup follows a clear step-by-step pattern for connecting various data sources, including S3, MongoDB, and PostgreSQL. This tool is significant for the AI/ML community as it streamlines interactions with different LLM providers, allowing for more flexible and robust applications. With the ability to define routing rules for specific tasks, developers can easily switch between models and alter configurations based on requirements. The incorporation of chunking and aggregation strategies adds another layer of versatility, enabling users to optimize performance according to their needs. This routing framework enhances efficiency and effectiveness in developing AI applications, potentially leading to greater innovations in the space.