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PeakBench: Benchmarking Resource-Aware Tool Invocation in LLM Agents

arXiv cs.AI LLM Agents Zhi-Kai Chen, Xu-Xiang Zhong, Song-Yan Li, De-Chuan Zhan, Han-Jia Ye 2026-08-25
Representative image for PeakBench: Benchmarking Resource-Aware Tool Invocation in LLM Agents

TL;DR - PeakBench evaluates whether LLM agents can correctly parallelize multi-tool workflows while respecting resource limits. It matters because sound dependency planning alone does not ensure safe, low-latency execution.

  • Provides executable workflows with execution-grounded dependencies and measured resource profiles.
  • Separately evaluates logical dependency planning and physical resource-constrained scheduling.
  • Finds that strong planners can still execute inefficiently or trigger avoidable resource overflows.
  • Shows that exposing resource information can reduce overflows and improve utilization.

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