A Practical Approach to Optimize Multi-Agent Systems

2026

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AI-generated summary

1) This whitepaper presents a practical framework for optimizing and evaluating multi-agent systems, addressing key challenges in their design and deployment.
2) * Introduces a structured approach to evaluating multi-agent systems across four key verticals: execution completeness, domain capacity, planning capacity, and coordination capacity.
* Details a Bayesian Optimization with Gaussian Processes (BOGP) approach for optimizing system design, considering search space complexity and convergence guarantees.
* Discusses the limitations of current evaluation methods, particularly the use of LLMs as evaluators, and proposes a shift towards more holistic and self-optimizing systems.
3) Multi-Agent Systems, Optimization, Evaluation, Bayesian Optimization, AI Agents

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