LLM agent in a team configuration optimized via Bayesian search — MALBO.
What MALBO Team Member runs on.
Documents a team member in the MALBO framework (arXiv 2511.11788, University of Milano-Bicocca). MALBO applies multi-objective Bayesian optimization to search for agent team configurations that balance performance and cost. Bayesian optimization reduced average configuration cost by >45% vs random search while maintaining comparable performance. Specialized heterogeneous teams achieved cost reductions up to 65.8% vs homogeneous baselines. Source: arXiv paper (Master's thesis).
Performance is measured where the work happens — at the team level. MALBO Team Member runs inside 📊 MALBO Bayesian-Optimized Team, whose windowed metrics are the honest unit of account.
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