Harrison Chase(@hwchase17)

router lives in the harness, not a gateway, bc the harness knows the task blog: https://t.co/k9b306...

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router lives in the harness, not a gateway, bc the harness knows the task blog: https://t.co/k9b306...

TL;DR · AI 摘要

LangChain通过模型路由策略将编码代理成本降低50%，核心机制是Harness根据任务动态选择模型而非固定网关。

核心要点

  • Open SWE代理通过模型路由使每线程成本降至$0.94，较GPT-6 Astra降低50%
  • Harness组件替代传统网关实现动态模型选择，需预知任务特征
  • 测试验证973个线程中半数路由任务成本显著优于固定模型方案

结构提纲

按章节快速跳转。

  1. §引言

    揭示传统网关架构在模型选择上的局限性

  2. ·Harness架构原理

    Harness通过任务感知实现动态模型路由

  3. ›Open SWE实测数据

    973线程测试显示路由方案成本降低50%

  4. ·成本对比分析

    GPT-6 Astra与路由模型的单价差异验证有效性

思维导图

用一张图看清主题之间的关系。

查看大纲文本（无障碍 / 无 JS 友好）
  • 模型路由架构
    • 核心组件
      • Harness动态选择器
      • 多模型池
    • 优势验证
      • 成本降低50%
      • 任务适配性提升

金句 / Highlights

值得收藏与分享的关键句。

#LangChain#模型路由#成本优化#AI代理
打开原文

Harrison Chase on X: "router lives in the harness, not a gateway, bc the harness knows the task blog: https://t.co/k9b306ikK1 https://t.co/4FggNo00jY" / X

Harrison Chase

@hwchase17

router lives in the harness, not a gateway, bc the harness knows the task blog:

langchain.com/blog/how-to-bu…

NeilXbt

@neil_xbt

9h

LangChain gave its coding agent three models and a router. Open SWE, their open-source coding agent, now sends each thread to the cheapest model likely to finish the job. they tested it on 973 threads, half routed and half always on GPT-6 Astra. median cost per thread: $0.94

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4:16 PM · Oct 13, 2026

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