← 返回归档

帖子详情

查看 X 原文
L
LangChain@LangChainAI
AI Search reads each trajectory within a fixed token budget. Most questions about behavior only need a small slice, and we checked that on 150 conversations from Open SWE, the coding agent our team uses every day. ✅ The median ran 84K tokens ✅ About 1.5K of that was the user’s messages and the agent’s final reply ✅ Roughly 3/4 was tool output: file reads, shell commands, test logs langchain.com/blog/agent-tra…
查看 Markdown 内容
---
tweet_id: "2111140114131046507"
author: "LangChainAI"
published_at: "2026-10-16T17:00:00+00:00"
source_url: "https://x.com/LangChain/status/2111140114131046507"
---

AI Search reads each trajectory within a fixed token budget.  
  
Most questions about behavior only need a small slice, and we checked that on 150 conversations from Open SWE, the coding agent our team uses every day.  
  
✅ The median ran 84K tokens  
✅ About 1.5K of that was the user’s messages and the agent’s final reply  
✅ Roughly 3/4 was tool output: file reads, shell commands, test logs   
  
[langchain.com/blog/agent-tra…](https://www.langchain.com/blog/agent-traces-ai-search-langsmith)