🛻Introduction

Optimal Path refers to selecting the most efficient execution path or strategy combination from multiple feasible solutions through systematic evaluation criteria and optimization algorithms when executing complex tasks or designing systems. In building and optimizing multi-level LLM combination systems, the implementation of Optimal Path primarily relies on the collaborative operation of two core technical components: LLM Planner and Optimal Path Evaluator.

LLM Planner focuses on constructing multiple LLMs into a clearly hierarchical tree structure, ensuring clear responsibilities at each level; while the Optimal Path Evaluator is responsible for real-time evaluation of generated execution paths, continuously optimizing execution efficiency at each level to enhance overall system performance. This specialized architectural design not only significantly improves the system's intelligence level but also achieves continuous optimization of optimal paths through precise parameter tuning and system training. Based on this, Optimal Path has become a key indicator of continuous innovation and technological breakthrough in Agent systems, with importance comparable to world records in competitive fields. Against the backdrop of continuous LLM technology development, the exploration of optimal paths is not only a core element in improving system performance but also an important driving force in promoting the evolution of the overall technical architecture.