Agent workflows stop being rebuilt per query: a pool plus a contextual bandit picks one, cutting MATH training tokens at least 40.55%
Workflow selection for LLM agents is recast as a contextual bandit over a reusable pool, reaching an 81.37% average across five benchmarks while cutting MATH training-phase token overhead by at least 40.55%.