BAMAS: Budget-Aware AI Teams That Deliver
What’s new
As AI "teams" of LLM agents grow, the cloud bill can explode. BAMAS is a framework that designs these teams with a dollar cap in mind.
How it works
- Picks the right mix of models: Uses integer linear programming to balance accuracy vs. price.
- Plans who talks to whom: Uses reinforcement learning to choose the most effective collaboration topology.
- Runs the team: Instantiates agents and their connections based on those choices.
Why it matters
On three benchmark tasks, BAMAS matched state-of-the-art performance while cutting cost by up to 86%.
Paper by Liming Yang, Junyu Luo, Xuanzhe Liu, Yiling Lou, Zhenpeng Chen. Preprint: https://arxiv.org/abs/2511.21572v1
Paper: https://arxiv.org/abs/2511.21572v1
Register: https://www.AiFeta.com
AI MultiAgent LLM Budget MultiAgentSystems ReinforcementLearning IntegerProgramming Optimization CostEfficiency Research
