AI Research
Not All Tokens Are Equal: Inflation-Aware Routing for Agentic LLM Systems
How Inflation-Aware Routing Optimizes Agentic Workflow Costs
When a language model fails to answer a query on the first attempt, an agentic system retries, consuming additional tokens each time. This retry overhead creates a gap between what a model's per-token price implies and what a full workflow actually costs. We call this gap \emph{t...
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ArXiv CS.CL
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ArXiv CS.CL
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This research reveals that static token pricing fails to account for the hidden cost of iterative retries in multi-step AI agent workflows. By introducing InflationAgent, the authors provide a more accurate metric for cost-optimization that prioritizes end-to-end efficiency over simple per-token expenses.
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