ABSTRAL: Automatic Design of Multi-Agent Systems Through Iterative Refinement and Topology Optimization

1. 1Define the multi-agent system architecture as a natural-language document
2. 2Apply contrastive trace analysis to refine the architecture
3. 3Measure the multi-agent coordination tax to optimize system performance
4. 4Iterate on the design to achieve optimal topology optimization

AI engineers and researchers on a team can benefit from ABSTRAL to improve the design of multi-agent systems, and software engineers can apply the framework to develop more efficient systems

💡 ABSTRAL framework enables the design of multi-agent systems through iterative refinement and topology optimization, capturing design knowledge in a inspectable and revisable form

🤖 ABSTRAL: Automatic design of multi-agent systems through iterative refinement & topology optimization