Model Routing vs Tool Routing: How to give your AI agents superpowers

In the evolving landscape of AI, two types of routing—model routing and tool routing—play pivotal roles in enhancing an AI agent's capabilities. Model routing involves selecting different large language models (LLMs) for specific tasks based on factors such as cost, speed, and intelligence, allowing for efficient and cost-effective processing. Conversely, tool routing expands what an agent can accomplish by integrating various specialized tools and services, enabling functionalities like image generation, code execution, and content management. The combination of these tools transforms AI agents from mere conversational entities into versatile assistants capable of executing complex tasks. This approach, akin to the Unix philosophy of combining small, sharp tools, emphasizes that the true power of AI lies not in the sophistication of the model alone but in its ability to orchestrate and utilize a wide array of tools effectively. As AI ecosystems grow, the strategic integration of model and tool routing can significantly enhance an agent's utility, demonstrating that a well-orchestrated system with specialized tools can surpass even the most advanced standalone models.