AgentGrad introduces intervention-guided prompt optimization to address failures in gradient extraction and aggregation within multi-agent systems. It implements agent-level supervision during gradient derivation to ensure that prompt modifications actually resolve identified failures.
HOW THIS AFFECTS YOU
●
builderThis provides a more structured way to optimize individual agent prompts in your multi-agent workflows.
●
researcherYou can use this method to improve the reliability of textual gradient approaches in MAS.