agents-course/pr_673/ko/_app/immutable/nodes/28.e18ecbbd.js

import{s as dt,a as _t,o as wt}from"../chunks/scheduler.cc52f4b9.js";import{S as vt,i as xt,e as s,s as l,c as p,h as Tt,a as m,d as a,b as i,f as Lt,g,j as I,k as st,l as Gt,m as n,n as $,t as f,o,p as u,q as Ct,r as Mt}from"../chunks/index.1e918bfb.js";import{T as bt}from"../chunks/Tip.d0a39104.js";import{C as Pt}from"../chunks/CopyLLMTxtMenu.b63a2943.js";import{H as L,E as yt}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.0a16bc89.js";function Ht(j){let r;return{c(){r=Ct("이 섹션의 예제들은 강력한 LLM/VLM 모델이 필요합니다. 이 코스에서는 langGraph와 가장 호환성이 좋은 GPT-4o API를 사용해 실행하였습니다.")},l(h){r=Mt(h,"이 섹션의 예제들은 강력한 LLM/VLM 모델이 필요합니다. 이 코스에서는 langGraph와 가장 호환성이 좋은 GPT-4o API를 사용해 실행하였습니다.")},m(h,d){n(h,r,d)},d(h){h&&a(r)}}}function kt(j){let r,h,d,V,_,O,w,R,v,pt,B,x,mt='다음 단계에 오신 것을 환영합니다! 이 단원에서는 복잡한 LLM 워크플로우를 구조화하고 조정, 관리할 수 있도록 설계된 <a href="https://github.com/langchain-ai/langgraph" rel="nofollow"><code>LangGraph</code></a> 프레임워크를 사용하여 <strong>어플리케이션을 구축하는 방법</strong>을 배우게 됩니다.',D,T,gt="<code>LangGraph</code>는 에이전트의 흐름을 <strong>직접 제어</strong>할 수 있는 도구를 제공하여 <strong>프로덕션 수준</strong>의 어플리케이션을 만들 수 있게 해주는 프레임워크입니다.",F,G,J,C,$t="이 단원에서 함께 살펴볼 주제는 다음과 같습니다",K,M,N,b,Q,P,W,y,X,H,Y,c,Z,k,ft="이 단원이 끝나면, 여러분은 견고하고 체계적인, 프로덕션에 바로 투입 가능한 어플리케이션을 만들 수 있게 됩니다!",tt,q,ot='이 섹션은 LangGraph의 입문 과정이니, 더 심화된 주제는 무료 LangChain 아카데미 강의 <a href="https://academy.langchain.com/courses/intro-to-langgraph" rel="nofollow">LangGraph 소개</a>에서 확인할 수 있습니다.',et,E,ut="그럼 시작해볼까요?",at,z,nt,A,ht='<li><a href="https://langchain-ai.github.io/langgraph/" rel="nofollow">LangGraph Agents</a> - LangGraph 에이전트 예제</li> <li><a href="https://academy.langchain.com/courses/intro-to-langgraph" rel="nofollow">LangChain academy</a> - LangChain에서 제공하는 LangGraph 전체 강의</li>',lt,S,it,U,rt;return _=new Pt({props:{containerStyle:"float: right; 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