---
id: 20260711-T0-11
title: "LLM Agent 新方法：用工具制作管道替代推理时重复编码，降低延迟"
title_en: "New Method Replaces LLM Agent Inference Coding with Tool-Making Pipeline to Reduce Latency"
url: https://ai.daily.yangsir.net/daily/20260711-T0-11
issue_date: 2026-07-11
publish_date: 2026-07-10T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2607.08010
---

# LLM Agent 新方法：用工具制作管道替代推理时重复编码，降低延迟

一项新研究提出了一种用于低延迟系统的 LLM Agent 工具制作（tool-making）方法。传统 Agent 在每个请求中都会重复生成相同步骤的代码，浪费时间和可靠性。该方法将重复的标准操作步骤编译为可验证的工具，从而用一次性的工具制作管道替代推理时的编码循环，显著降低了延迟并提升了可靠性。

## English Version

**New Method Replaces LLM Agent Inference Coding with Tool-Making Pipeline to Reduce Latency**

A new study proposes a tool-making approach for LLM agents in low-latency systems. Traditional agents waste latency by regenerating code for the same procedural steps on every request. The new method compiles repeated standard operating steps into validated tools, replacing the inference-time coding loop with a one-time tool-making pipeline, significantly reducing latency and improving reliability.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2607.08010)

**详情页**：https://ai.daily.yangsir.net/daily/20260711-T0-11

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