LedgerAgent is an inference-time method that uses a structured ledger to track task states and enforce domain policies in tool-calling agents, improving average pass^k over standard prompt-based approaches across four domains.
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on tau-bench
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LedgerAgent: Structured State for Policy-Adherent Tool-Calling Agents
LedgerAgent is an inference-time method that uses a structured ledger to track task states and enforce domain policies in tool-calling agents, improving average pass^k over standard prompt-based approaches across four domains.