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LIBRA framework enhances LLM agent tool retrieval via programmatic library induction

By PulseAugur Editorial · [3 sources] ·

Researchers have introduced LIBRA, a framework designed to programmatically create executable tool libraries from flat catalogs for large language model agents. LIBRA uses an LLM to propose tool contracts, which are then tested in a sandbox to establish runtime relationships, eliminating the need for manual annotations or task-specific training. This approach significantly improves retrieval performance on benchmarks like AppWorld, BFCL, and SciToolEval, as well as within the ToolReAGt framework. AI

IMPACT Enhances LLM agent capabilities by improving tool retrieval efficiency and enabling more complex task execution.

RANK_REASON The cluster describes a research paper detailing a new framework for LLM agents.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

LIBRA framework enhances LLM agent tool retrieval via programmatic library induction

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COVERAGE [3]

  1. arXiv cs.AI TIER_1 English(EN) · Zekai Li, Zhenke Liu, Yonghao Li, Junhan Liu, Xulong Xiao, Jiapeng Zhang ·

    LIBRA: Programmatic Induction of Executable Tool Libraries

    arXiv:2611.05445v1 Announce Type: cross Abstract: Large language model agents increasingly retrieve tools from large catalogs, yet most retrievers rank each tool independently by request similarity. For multi tool tasks, this recovers the goal matching tool while omitting prerequ…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Jiapeng Zhang ·

    LIBRA: Programmatic Induction of Executable Tool Libraries

    Large language model agents increasingly retrieve tools from large catalogs, yet most retrievers rank each tool independently by request similarity. For multi tool tasks, this recovers the goal matching tool while omitting prerequisite tools required by the workflow.We introduce …

  3. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Jiapeng Zhang ·

    LIBRA: Programmatic Induction of Executable Tool Libraries

    Large language model agents increasingly retrieve tools from large catalogs, yet most retrievers rank each tool independently by request similarity. For multi tool tasks, this recovers the goal matching tool while omitting prerequisite tools required by the workflow. We introduce…

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