CB-Orchestrator: Adaptive Workflow Optimization for LLM Agents via Contextual Bandits
CB-Orchestrator addresses the inflexibility of manually designing LLM agent workflows by decoupling generation from selection. It automatically builds a diverse workflow pool using evolutionary search and then uses a Contextual Bandit approach to efficiently select the best workflow for any given query. This results in superior performance and significant reductions in training costs.