MA-SAPO: Multi-Agent Reasoning for Score-Aware Prompt Optimization
MA-SAPO is a framework that improves prompt performance by linking evaluation scores directly to actionable edits. It uses three agents in a training phase to create 'reasoning assets' that explain, diagnose errors, and suggest specific prompt changes. A separate test phase then retrieves these assets to refine prompts, leading to interpretable and controllable optimization.