Save Claude Code Tokens with Smart Routing (github.com)

Regolo AI has introduced a groundbreaking Mixture-of-Models (MoM) routing gateway called Brick, designed to optimize the efficiency of large language model (LLM) usage by intelligently routing prompts based on their complexity and capability. This tool determines the most suitable backend LLM from a pool of both open- and closed-weight models, allowing users to maximize performance without incurring excessive costs. Brick is especially beneficial for users managing multiple models, ensuring that simpler prompts don't utilize high-cost models and more complex queries receive the necessary compute power. For the AI/ML community, Brick represents a significant advancement in cost-effective LLM operation. By eliminating the need for sequential model calls—common in traditional cascade routers like FrugalGPT—Brick processes each query in a single pass, enhancing both response speed and reducing token consumption. Users can easily integrate Brick with existing systems, including OpenAI-compatible endpoints, thus streamlining management of their AI infrastructure. The tool provides developers with detailed monitoring through a live dashboard, allowing for efficient tracking of model usage and cost savings. This innovation positions Brick as a versatile solution poised to elevate the efficiency and economic viability of AI model deployment in diverse applications.