AI Research
Agent Architecture Cost-Success Trade-offs: A Controlled Evaluation across Enterprise-Style SOPs
A controlled evaluation examines agent costs and success across enterprise-style workflows
Enterprises increasingly use large language model agents to execute standard operating procedures (SOPs): long, branching, tool-intensive workflows.
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ArXiv CS.AI
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ArXiv CS.AI
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Enterprise SOPs can involve long, branching workflows and extensive tool use, making agent design consequential. Evaluating cost alongside success can help clarify trade-offs when choosing architectures for these tasks.
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