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AgentRouter: Heterogeneous Model Routing for Cost-Optimal Multi-Step Agentic Workflows

Paul, Rudrendu Kumar et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagemachine-learningmultiagent-systems
Enterprise agentic systems that route every trajectory step to a frontier model waste 60-80% of their inference budget on subtasks that smaller models handle equally well. Existing routing solutions optimize single-turn query assignment but ignore a property unique to agentic workflows: subtask comp
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