mirror of
https://github.com/langflow-ai/langflow.git
synced 2026-07-24 04:13:36 +08:00
163 lines
39 KiB
HTML
163 lines
39 KiB
HTML
<!doctype html>
|
||
<html lang="en" dir="ltr" class="docs-wrapper plugin-docs plugin-id-default docs-version-current docs-doc-page docs-doc-id-Components/components-models" data-has-hydrated="false">
|
||
<head>
|
||
<meta charset="UTF-8">
|
||
<meta name="generator" content="Docusaurus v3.8.1">
|
||
<title data-rh="true">Language Model | Langflow Documentation</title><meta data-rh="true" name="viewport" content="width=device-width,initial-scale=1"><meta data-rh="true" name="twitter:card" content="summary_large_image"><meta data-rh="true" property="og:url" content="https://docs.langflow.org/components-models"><meta data-rh="true" property="og:locale" content="en"><meta data-rh="true" name="docusaurus_locale" content="en"><meta data-rh="true" name="docsearch:language" content="en"><meta data-rh="true" name="docusaurus_version" content="current"><meta data-rh="true" name="docusaurus_tag" content="docs-default-current"><meta data-rh="true" name="docsearch:version" content="current"><meta data-rh="true" name="docsearch:docusaurus_tag" content="docs-default-current"><meta data-rh="true" property="og:title" content="Language Model | Langflow Documentation"><meta data-rh="true" name="description" content="Language Model components in Langflow generate text using a specified Large Language Model (LLM)."><meta data-rh="true" property="og:description" content="Language Model components in Langflow generate text using a specified Large Language Model (LLM)."><link data-rh="true" rel="icon" href="/img/favicon.ico"><link data-rh="true" rel="canonical" href="https://docs.langflow.org/components-models"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/components-models" hreflang="en"><link data-rh="true" rel="alternate" href="https://docs.langflow.org/components-models" hreflang="x-default"><link data-rh="true" rel="preconnect" href="https://UZK6BDPCVY-dsn.algolia.net" crossorigin="anonymous"><script data-rh="true" type="application/ld+json">{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Language Model","item":"https://docs.langflow.org/components-models"}]}</script><link rel="preconnect" href="https://www.google-analytics.com">
|
||
<link rel="preconnect" href="https://www.googletagmanager.com">
|
||
<script async src="https://www.googletagmanager.com/gtag/js?id=G-SLQFLQ3KPT"></script>
|
||
<script>function gtag(){dataLayer.push(arguments)}window.dataLayer=window.dataLayer||[],gtag("js",new Date),gtag("config","G-SLQFLQ3KPT",{})</script>
|
||
|
||
|
||
|
||
|
||
|
||
<link rel="search" type="application/opensearchdescription+xml" title="Langflow Documentation" href="/opensearch.xml">
|
||
|
||
|
||
|
||
<script>!function(){var e="analytics",t=window[e]=window[e]||[];if(!t.initialize)if(t.invoked)window.console&&console.error&&console.error("Segment snippet included twice.");else{t.invoked=!0,t.methods=["trackSubmit","trackClick","trackLink","trackForm","pageview","identify","reset","group","track","ready","alias","debug","page","screen","once","off","on","addSourceMiddleware","addIntegrationMiddleware","setAnonymousId","addDestinationMiddleware","register"],t.factory=function(n){return function(){if(window[e].initialized)return window[e][n].apply(window[e],arguments);var r=Array.prototype.slice.call(arguments);if(["track","screen","alias","group","page","identify"].indexOf(n)>-1){var i=document.querySelector("link[rel='canonical']");r.push({__t:"bpc",c:i&&i.getAttribute("href")||void 0,p:location.pathname,u:location.href,s:location.search,t:document.title,r:document.referrer})}return r.unshift(n),t.push(r),t}};for(var n=0;n<t.methods.length;n++){var r=t.methods[n];t[r]=t.factory(r)}t.load=function(n,r){var i=document.createElement("script");i.type="text/javascript",i.async=!0,i.setAttribute("data-global-segment-analytics-key",e),i.src="https://cdn.segment.com/analytics.js/v1/"+n+"/analytics.min.js";var a=document.getElementsByTagName("script")[0];a.parentNode.insertBefore(i,a),t._loadOptions=r},t._writeKey="60AfGDrVxy8nAGJngo3fCYWG4LvhMAlG",t.SNIPPET_VERSION="5.2.0",t.load("60AfGDrVxy8nAGJngo3fCYWG4LvhMAlG"),t.page()}}()</script>
|
||
<script>window.__SCROLL_TRACKING_CONFIG__={selectors:[{selector:"h1, h2, h3, h4, h5, h6",eventName:"Docs.langflow.org - Heading Viewed",properties:{element_type:"heading"}},{selector:".ch-codeblock",eventName:"Docs.langflow.org - Codeblock Viewed",properties:{element_type:"code",language:"helper:codeLanguage"}}]}</script>
|
||
|
||
|
||
<link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Sora:wght@550;600&display=swap">
|
||
<script>!function(){window.semaphore=window.semaphore||[],window.ketch=function(){window.semaphore.push(arguments)};var e=document.createElement("script");e.type="text/javascript",e.src="https://global.ketchcdn.com/web/v3/config/datastax/langflow_org_web/boot.js",e.defer=e.async=!0,document.getElementsByTagName("head")[0].appendChild(e)}()</script>
|
||
<script defer="true">!function(){const e=e=>{if(window.gtag&&e.purposes&&"analytics"in e.purposes&&"targeted_advertising"in e.purposes){const n=!0===e.purposes.analytics?"granted":"denied",t=!0===e.purposes.targeted_advertising?"granted":"denied",a={analytics_storage:n,ad_personalization:t,ad_storage:t,ad_user_data:t};window.gtag("consent","update",a)}};window.ketch&&window.ketch("on","consent",e)}()</script><link rel="stylesheet" href="/assets/css/styles.79069821.css">
|
||
<script src="/assets/js/runtime~main.b2a37277.js" defer="defer"></script>
|
||
<script src="/assets/js/main.f711f3e7.js" defer="defer"></script>
|
||
</head>
|
||
<body class="navigation-with-keyboard">
|
||
<svg xmlns="http://www.w3.org/2000/svg" style="display: none;"><defs>
|
||
<symbol id="theme-svg-external-link" viewBox="0 0 24 24"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"/></symbol>
|
||
</defs></svg>
|
||
<script>!function(){var t=function(){try{return new URLSearchParams(window.location.search).get("docusaurus-theme")}catch(t){}}()||function(){try{return window.localStorage.getItem("theme")}catch(t){}}();document.documentElement.setAttribute("data-theme",t||(window.matchMedia("(prefers-color-scheme: dark)").matches?"dark":"light")),document.documentElement.setAttribute("data-theme-choice",t||"system")}(),function(){try{const c=new URLSearchParams(window.location.search).entries();for(var[t,e]of c)if(t.startsWith("docusaurus-data-")){var a=t.replace("docusaurus-data-","data-");document.documentElement.setAttribute(a,e)}}catch(t){}}()</script><div id="__docusaurus"><div role="region" aria-label="Skip to main content"><a class="skipToContent_fXgn" href="#__docusaurus_skipToContent_fallback">Skip to main content</a></div><nav aria-label="Main" class="theme-layout-navbar navbar navbar--fixed-top navbarHideable_m1mJ"><div class="navbar__inner"><div class="theme-layout-navbar-left navbar__items"><button aria-label="Toggle navigation bar" aria-expanded="false" class="navbar__toggle clean-btn" type="button"><svg width="30" height="30" viewBox="0 0 30 30" aria-hidden="true"><path stroke="currentColor" stroke-linecap="round" stroke-miterlimit="10" stroke-width="2" d="M4 7h22M4 15h22M4 23h22"></path></svg></button><a class="navbar__brand" href="/"><div class="navbar__logo"><img src="/img/lf-docs-light.svg" alt="Langflow" class="themedComponent_mlkZ themedComponent--light_NVdE"><img src="/img/lf-docs-dark.svg" alt="Langflow" class="themedComponent_mlkZ themedComponent--dark_xIcU"></div></a></div><div class="theme-layout-navbar-right navbar__items navbar__items--right"><a href="https://github.com/langflow-ai/langflow" target="_blank" class="navbar__item navbar__link header-github-link" data-event="Docs.langflow.org - Social Clicked" data-platform="github"></a><a href="https://twitter.com/langflow_ai" target="_blank" class="navbar__item navbar__link header-twitter-link" data-event="Docs.langflow.org - Social Clicked" data-platform="x"></a><a href="https://discord.gg/EqksyE2EX9" target="_blank" class="navbar__item navbar__link header-discord-link" data-event="Docs.langflow.org - Social Clicked" data-platform="discord"></a><div class="toggle_vylO colorModeToggle_DEke"><button class="clean-btn toggleButton_gllP toggleButtonDisabled_aARS" type="button" disabled="" title="system mode" aria-label="Switch between dark and light mode (currently system mode)"><svg viewBox="0 0 24 24" width="24" height="24" aria-hidden="true" class="toggleIcon_g3eP lightToggleIcon_pyhR"><path fill="currentColor" d="M12,9c1.65,0,3,1.35,3,3s-1.35,3-3,3s-3-1.35-3-3S10.35,9,12,9 M12,7c-2.76,0-5,2.24-5,5s2.24,5,5,5s5-2.24,5-5 S14.76,7,12,7L12,7z M2,13l2,0c0.55,0,1-0.45,1-1s-0.45-1-1-1l-2,0c-0.55,0-1,0.45-1,1S1.45,13,2,13z M20,13l2,0c0.55,0,1-0.45,1-1 s-0.45-1-1-1l-2,0c-0.55,0-1,0.45-1,1S19.45,13,20,13z M11,2v2c0,0.55,0.45,1,1,1s1-0.45,1-1V2c0-0.55-0.45-1-1-1S11,1.45,11,2z M11,20v2c0,0.55,0.45,1,1,1s1-0.45,1-1v-2c0-0.55-0.45-1-1-1C11.45,19,11,19.45,11,20z M5.99,4.58c-0.39-0.39-1.03-0.39-1.41,0 c-0.39,0.39-0.39,1.03,0,1.41l1.06,1.06c0.39,0.39,1.03,0.39,1.41,0s0.39-1.03,0-1.41L5.99,4.58z M18.36,16.95 c-0.39-0.39-1.03-0.39-1.41,0c-0.39,0.39-0.39,1.03,0,1.41l1.06,1.06c0.39,0.39,1.03,0.39,1.41,0c0.39-0.39,0.39-1.03,0-1.41 L18.36,16.95z M19.42,5.99c0.39-0.39,0.39-1.03,0-1.41c-0.39-0.39-1.03-0.39-1.41,0l-1.06,1.06c-0.39,0.39-0.39,1.03,0,1.41 s1.03,0.39,1.41,0L19.42,5.99z M7.05,18.36c0.39-0.39,0.39-1.03,0-1.41c-0.39-0.39-1.03-0.39-1.41,0l-1.06,1.06 c-0.39,0.39-0.39,1.03,0,1.41s1.03,0.39,1.41,0L7.05,18.36z"></path></svg><svg viewBox="0 0 24 24" width="24" height="24" aria-hidden="true" class="toggleIcon_g3eP darkToggleIcon_wfgR"><path fill="currentColor" d="M9.37,5.51C9.19,6.15,9.1,6.82,9.1,7.5c0,4.08,3.32,7.4,7.4,7.4c0.68,0,1.35-0.09,1.99-0.27C17.45,17.19,14.93,19,12,19 c-3.86,0-7-3.14-7-7C5,9.07,6.81,6.55,9.37,5.51z M12,3c-4.97,0-9,4.03-9,9s4.03,9,9,9s9-4.03,9-9c0-0.46-0.04-0.92-0.1-1.36 c-0.98,1.37-2.58,2.26-4.4,2.26c-2.98,0-5.4-2.42-5.4-5.4c0-1.81,0.89-3.42,2.26-4.4C12.92,3.04,12.46,3,12,3L12,3z"></path></svg><svg viewBox="0 0 24 24" width="24" height="24" aria-hidden="true" class="toggleIcon_g3eP systemToggleIcon_QzmC"><path fill="currentColor" d="m12 21c4.971 0 9-4.029 9-9s-4.029-9-9-9-9 4.029-9 9 4.029 9 9 9zm4.95-13.95c1.313 1.313 2.05 3.093 2.05 4.95s-0.738 3.637-2.05 4.95c-1.313 1.313-3.093 2.05-4.95 2.05v-14c1.857 0 3.637 0.737 4.95 2.05z"></path></svg></button></div><div class="navbarSearchContainer_Bca1"><button type="button" class="DocSearch DocSearch-Button" aria-label="Search (Command+K)"><span class="DocSearch-Button-Container"><svg width="20" height="20" class="DocSearch-Search-Icon" viewBox="0 0 20 20" aria-hidden="true"><path d="M14.386 14.386l4.0877 4.0877-4.0877-4.0877c-2.9418 2.9419-7.7115 2.9419-10.6533 0-2.9419-2.9418-2.9419-7.7115 0-10.6533 2.9418-2.9419 7.7115-2.9419 10.6533 0 2.9419 2.9418 2.9419 7.7115 0 10.6533z" stroke="currentColor" fill="none" fill-rule="evenodd" stroke-linecap="round" stroke-linejoin="round"></path></svg><span class="DocSearch-Button-Placeholder">Search</span></span><span class="DocSearch-Button-Keys"></span></button></div></div></div><div role="presentation" class="navbar-sidebar__backdrop"></div></nav><div id="__docusaurus_skipToContent_fallback" class="theme-layout-main main-wrapper mainWrapper_z2l0"><div class="docsWrapper_hBAB"><button aria-label="Scroll back to top" class="clean-btn theme-back-to-top-button backToTopButton_sjWU" type="button"></button><div class="docRoot_UBD9"><aside class="theme-doc-sidebar-container docSidebarContainer_YfHR"><div class="sidebarViewport_aRkj"><div class="sidebar_njMd sidebarWithHideableNavbar_wUlq"><a tabindex="-1" class="sidebarLogo_isFc" href="/"><img src="/img/lf-docs-light.svg" alt="Langflow" class="themedComponent_mlkZ themedComponent--light_NVdE"><img src="/img/lf-docs-dark.svg" alt="Langflow" class="themedComponent_mlkZ themedComponent--dark_xIcU"></a><nav aria-label="Docs sidebar" class="menu thin-scrollbar menu_SIkG"><ul class="theme-doc-sidebar-menu menu__list"><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/">Get started</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/concepts-overview">Flows</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/agents">Agents</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/mcp-client">Model Context Protocol (MCP)</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/api-keys-and-authentication">Develop</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/deployment-overview">Deploy</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret menu__link--active" role="button" aria-expanded="true" href="/concepts-components">Components reference</a></div><ul class="menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/concepts-components">Components overview</a></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-2 menu__list-item"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret menu__link--active" role="button" aria-expanded="true" tabindex="0" href="/components-io">Core components</a></div><ul class="menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item"><a class="menu__link" tabindex="0" href="/components-io">Input / Output</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item"><a class="menu__link" tabindex="0" href="/components-agents">Agents</a></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-3 menu__list-item"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret menu__link--active" role="button" aria-expanded="true" tabindex="0" href="/components-models">Models</a></div><ul class="menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link menu__link--active" aria-current="page" tabindex="0" href="/components-models">Language Model</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-4 menu__list-item"><a class="menu__link" tabindex="0" href="/components-embedding-models">Embedding Model</a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item"><a class="menu__link" tabindex="0" href="/components-data">Data</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item"><a class="menu__link" tabindex="0" href="/components-vector-stores">Vector Stores</a></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-3 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" tabindex="0" href="/components-processing">Processing</a></div></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item"><a class="menu__link" tabindex="0" href="/components-logic">Logic</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item"><a class="menu__link" tabindex="0" href="/components-helpers">Helpers</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item"><a class="menu__link" tabindex="0" href="/components-tools">Tools</a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-3 menu__list-item"><a class="menu__link" tabindex="0" href="/components-memories">Memories</a></li></ul></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-2 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" tabindex="0" href="/components-bundle-components">Bundles</a></div></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/components-custom-components">Create custom Python components</a></li></ul></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/api-reference-api-examples">API reference</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/contributing-community">Contribute</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/release-notes">Release notes</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/troubleshoot">Support</a></div></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 sidebar-ad">
|
||
<a href="https://www.langflow.org/desktop" target="_blank" class="menu__link">
|
||
<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
|
||
<g clip-path="url(#clip0_1645_37)">
|
||
<path d="M12 17H20C21.1046 17 22 16.1046 22 15V13M12 17H4C2.89543 17 2 16.1046 2 15V5C2 3.89543 2.89543 3 4 3H10M12 17V21M8 21H12M12 21H16M11.75 10.2917H13.2083L16.125 7.375H17.5833L20.5 4.45833H21.9583M16.125 11.75H17.5833L20.5 8.83333H21.9583M11.75 5.91667H13.2083L16.125 3H17.5833" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"/>
|
||
</g>
|
||
<defs>
|
||
<clipPath id="clip0_1645_37">
|
||
<rect width="24" height="24" fill="white"/>
|
||
</clipPath>
|
||
</defs>
|
||
</svg>
|
||
<div class="sidebar-ad-text-container">
|
||
<span class="sidebar-ad-text">Get started in minutes</span>
|
||
<span class="sidebar-ad-text sidebar-ad-text-gradient">Download Langflow Desktop</span>
|
||
</div>
|
||
</a>
|
||
</li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Components reference</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Core components</span></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Models</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Language Model</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Language Model</h1></header><style>[data-ch-theme="github-dark"] { --ch-t-colorScheme: dark;--ch-t-foreground: #c9d1d9;--ch-t-background: #0d1117;--ch-t-lighter-inlineBackground: #0d1117e6;--ch-t-editor-background: #0d1117;--ch-t-editor-foreground: #c9d1d9;--ch-t-editor-lineHighlightBackground: #6e76811a;--ch-t-editor-rangeHighlightBackground: #ffffff0b;--ch-t-editor-infoForeground: #3794FF;--ch-t-editor-selectionBackground: #264F78;--ch-t-focusBorder: #1f6feb;--ch-t-tab-activeBackground: #0d1117;--ch-t-tab-activeForeground: #c9d1d9;--ch-t-tab-inactiveBackground: #010409;--ch-t-tab-inactiveForeground: #8b949e;--ch-t-tab-border: #30363d;--ch-t-tab-activeBorder: #0d1117;--ch-t-editorGroup-border: #30363d;--ch-t-editorGroupHeader-tabsBackground: #010409;--ch-t-editorLineNumber-foreground: #6e7681;--ch-t-input-background: #0d1117;--ch-t-input-foreground: #c9d1d9;--ch-t-input-border: #30363d;--ch-t-icon-foreground: #8b949e;--ch-t-sideBar-background: #010409;--ch-t-sideBar-foreground: #c9d1d9;--ch-t-sideBar-border: #30363d;--ch-t-list-activeSelectionBackground: #6e768166;--ch-t-list-activeSelectionForeground: #c9d1d9;--ch-t-list-hoverBackground: #6e76811a;--ch-t-list-hoverForeground: #c9d1d9; }</style>
|
||
<!-- -->
|
||
<p><strong>Language Model</strong> components in Langflow generate text using a specified Large Language Model (LLM).</p>
|
||
<p>Langflow includes a <strong>Language Model</strong> core component that has built-in support for many LLMs.
|
||
Alternatively, you can use any <a href="#additional-language-models">additional language model</a> in place of the core <strong>Language Model</strong> component.</p>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="use-language-model-components-in-a-flow">Use Language Model components in a flow<a href="#use-language-model-components-in-a-flow" class="hash-link" aria-label="Direct link to Use Language Model components in a flow" title="Direct link to Use Language Model components in a flow"></a></h2>
|
||
<p>Use <strong>Language Model</strong> components anywhere you would use an LLM in a flow.</p>
|
||
<p>These components accept inputs like chat messages, files, and instructions in order to generate a text response.
|
||
The flow must include <a href="/components-io#chat-io"><strong>Chat Input and Output</strong> components</a> to allow chat-based interactions with the LLM.
|
||
However, you can also use the <strong>Language Model</strong> component for actions that don't emit chat output directly, such as the <strong>Smart Function</strong> component.</p>
|
||
<p>The following example uses the <strong>Language Model</strong> core component to create a chatbot flow similar to the <strong>Basic Prompting</strong> template.
|
||
It also explains how you can replace the core component with another LLM.</p>
|
||
<ol>
|
||
<li>
|
||
<p>Add the <strong>Language Model</strong> component to your flow.</p>
|
||
</li>
|
||
<li>
|
||
<p>In the <strong>OpenAI API Key</strong> field, enter your OpenAI API key.</p>
|
||
<p>This example uses the default OpenAI model and a built-in Anthropic model to compare responses from different providers.
|
||
If you want to use a different provider, edit the <strong>Model Provider</strong>, <strong>Model Name</strong>, and <strong>API Key</strong> fields accordingly.</p>
|
||
<div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>My preferred provider or model isn't listed</div><div class="admonitionContent_BuS1"><p>If you want to use a provider or model that isn't built-in to the <strong>Language Model</strong> core component, you can replace this component with another compatible component, as explained in <a href="#additional-language-models">Additional language models</a>.
|
||
Then, you can continue following these steps to build your flow.</p></div></div>
|
||
</li>
|
||
<li>
|
||
<p>In the <a href="/concepts-components#component-menus">component's header menu</a>, click <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-sliders-horizontal" aria-hidden="true"><line x1="21" x2="14" y1="4" y2="4"></line><line x1="10" x2="3" y1="4" y2="4"></line><line x1="21" x2="12" y1="12" y2="12"></line><line x1="8" x2="3" y1="12" y2="12"></line><line x1="21" x2="16" y1="20" y2="20"></line><line x1="12" x2="3" y1="20" y2="20"></line><line x1="14" x2="14" y1="2" y2="6"></line><line x1="8" x2="8" y1="10" y2="14"></line><line x1="16" x2="16" y1="18" y2="22"></line></svg> <strong>Controls</strong>, enable the <strong>System Message</strong> parameter, and then click <strong>Close</strong>.</p>
|
||
</li>
|
||
<li>
|
||
<p>Add a <a href="/components-prompts"><strong>Prompt Template</strong> component</a> to your flow.</p>
|
||
</li>
|
||
<li>
|
||
<p>In the <strong>Template</strong> field, enter some instructions for the LLM, such as <code>You are an expert in geography who is tutoring high school students</code>.</p>
|
||
</li>
|
||
<li>
|
||
<p>Connect the <strong>Prompt Template</strong> component's output to the <strong>Language Model</strong> component's <strong>System Message</strong> input.</p>
|
||
</li>
|
||
<li>
|
||
<p>Add <a href="/components-io#chat-io"><strong>Chat Input</strong> and <strong>Chat Output</strong> components</a> to your flow.</p>
|
||
</li>
|
||
<li>
|
||
<p>Connect the <strong>Chat Input</strong> component to the <strong>Language Model</strong> component's <strong>Input</strong>, and then connect the <strong>Language Model</strong> component's <strong>Message</strong> output to the <strong>Chat Output</strong> component.</p>
|
||
<p><img decoding="async" loading="lazy" alt="A basic prompting flow with Language Model, Prompt Template, Chat Input, and Chat Output components" src="/assets/images/component-language-model-1ddc1bd5726d5ea55ac91f7813a024d7.png" width="2000" height="1060" class="img_ev3q"></p>
|
||
</li>
|
||
<li>
|
||
<p>Open the <strong>Playground</strong>, and ask a question to chat with the LLM and test the flow, such as <code>What is the capital of Utah?</code>.</p>
|
||
<details class="details_lb9f alert alert--info details_b_Ee" data-collapsed="true"><summary>Result</summary><div><div class="collapsibleContent_i85q"><p>The following response is an example of an OpenAI model's response.
|
||
Your actual response may vary based on the model version at the time of your request, your template, and input.</p><div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>The capital of Utah is Salt Lake City. It is not only the largest city in the state but also serves as the cultural and economic center of Utah. Salt Lake City was founded in 1847 by Mormon pioneers and is known for its proximity to the Great Salt Lake and its role in the history of the Church of Jesus Christ of Latter-day Saints. For more information, you can refer to sources such as the U.S. Geological Survey or the official state website of Utah.</span></div></div><br></code></div></div></div></div></details>
|
||
</li>
|
||
<li>
|
||
<p>Try a different model or provider to see how the response changes. For example:</p>
|
||
<ol>
|
||
<li>In the <strong>Language Model</strong> component, change the model provider to <strong>Anthropic</strong>.</li>
|
||
<li>Select an Anthropic model, such as Claude 3.5 Haiku.</li>
|
||
<li>Enter an Anthropic API key.</li>
|
||
</ol>
|
||
</li>
|
||
<li>
|
||
<p>Open the <strong>Playground</strong>, ask the same question as you did before, and then compare the content and format of the responses.</p>
|
||
<p>This helps you understand how different models handle the same request so you can choose the best model for your use case.
|
||
You can also learn more about different models in each model provider's documentation.</p>
|
||
<details class="details_lb9f alert alert--info details_b_Ee" data-collapsed="true"><summary>Result</summary><div><div class="collapsibleContent_i85q"><p>The following response is an example of an Anthropic model's response.
|
||
Your actual response may vary based on the model version at the time of your request, your template, and input.</p><p>Note that this response is shorter and includes sources, whereas the OpenAI response was more encyclopedic and didn't cite sources.</p><div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>The capital of Utah is Salt Lake City. It is also the most populous city in the state. Salt Lake City has been the capital of Utah since 1896, when Utah became a state.</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>Sources:</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>Utah State Government Official Website (utah.gov)</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>U.S. Census Bureau</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>Encyclopedia Britannica</span></div></div><br></code></div></div></div></div></details>
|
||
</li>
|
||
</ol>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="language-model-parameters">Language Model parameters<a href="#language-model-parameters" class="hash-link" aria-label="Direct link to Language Model parameters" title="Direct link to Language Model parameters"></a></h2>
|
||
<p>Some <strong>Language Model</strong> component input parameters are hidden by default in the visual editor.
|
||
You can toggle parameters through the <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-sliders-horizontal" aria-hidden="true"><line x1="21" x2="14" y1="4" y2="4"></line><line x1="10" x2="3" y1="4" y2="4"></line><line x1="21" x2="12" y1="12" y2="12"></line><line x1="8" x2="3" y1="12" y2="12"></line><line x1="21" x2="16" y1="20" y2="20"></line><line x1="12" x2="3" y1="20" y2="20"></line><line x1="14" x2="14" y1="2" y2="6"></line><line x1="8" x2="8" y1="10" y2="14"></line><line x1="16" x2="16" y1="18" y2="22"></line></svg> <strong>Controls</strong> in the <a href="/concepts-components#component-menus">component's header menu</a>.</p>
|
||
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>provider</td><td>String</td><td>Input parameter. The model provider to use.</td></tr><tr><td>model_name</td><td>String</td><td>Input parameter. The name of the model to use. Options depend on the selected provider.</td></tr><tr><td>api_key</td><td>SecretString</td><td>Input parameter. The API Key for authentication with the selected provider.</td></tr><tr><td>input_value</td><td>String</td><td>Input parameter. The input text to send to the model.</td></tr><tr><td>system_message</td><td>String</td><td>Input parameter. A system message that helps set the behavior of the assistant.</td></tr><tr><td>stream</td><td>Boolean</td><td>Input parameter. Whether to stream the response. Default: false.</td></tr><tr><td>temperature</td><td>Float</td><td>Input parameter. Controls randomness in responses. Range: <code>[0.0, 1.0]</code>. Default: <code>0.1</code>.</td></tr><tr><td>model</td><td>LanguageModel</td><td>Output parameter. Alternative output type to the default <code>Message</code> output. Produces an instance of Chat configured with the specified parameters. See <a href="#language-model-output-types">Language Model output types</a>.</td></tr></tbody></table>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="language-model-output-types">Language Model output types<a href="#language-model-output-types" class="hash-link" aria-label="Direct link to Language Model output types" title="Direct link to Language Model output types"></a></h2>
|
||
<p><strong>Language Model</strong> components, including the core component and bundled components, can produce two types of output:</p>
|
||
<ul>
|
||
<li>
|
||
<p><strong>Model Response</strong>: The default output type emits the model's generated response as <a href="/data-types#message"><code>Message</code> data</a>.
|
||
Use this output type when you want the typical LLM interaction where the LLM produces a text response based on given input.</p>
|
||
</li>
|
||
<li>
|
||
<p><strong>Language Model</strong>: Change the <strong>Language Model</strong> component's output type to <a href="/data-types#languagemodel"><code>LanguageModel</code></a> when you need to attach an LLM to another component in your flow.
|
||
This is a specific data type that is only required by certain components, such as the <a href="/components-processing#smart-function"><strong>Smart Function</strong> component</a>.</p>
|
||
<p>With this configuration, the <strong>Language Model</strong> component is meant to support an action completed by another component, rather than producing a text response for a standard chat-based interaction.
|
||
For an example, the <strong>Smart Function</strong> component uses an LLM to create a function from natural language input.</p>
|
||
</li>
|
||
</ul>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="additional-language-models">Additional language models<a href="#additional-language-models" class="hash-link" aria-label="Direct link to Additional language models" title="Direct link to Additional language models"></a></h2>
|
||
<p>If your provider or model isn't supported by the <strong>Language Model</strong> core component, additional provider-specific models are available in the <a href="/components-bundle-components"><strong>Bundles</strong></a> section of the <strong>Components</strong> menu.</p>
|
||
<p>You can use these provider-specific components directly in your flows in the same place that you would use the <strong>Language Model</strong> core component.
|
||
Or, you can connect them to other components that accept a <a href="/data-types#languagemodel"><code>LanguageModel</code></a> input, such as the <strong>Smart Function</strong> and <strong>Agent</strong> components.</p>
|
||
<p>For example, to connect a provider-specific component to the <strong>Agent</strong> component, do the following:</p>
|
||
<ol>
|
||
<li>
|
||
<p>In the <strong>Components</strong> menu, search for your preferred model provider, and then add the provider's LLM component to your flow.
|
||
The component may not have <code>model</code> in the name.
|
||
For example, Azure OpenAI LLMs are in the <a href="/bundles-azure#azure-openai"><strong>Azure OpenAI</strong> component</a>.</p>
|
||
</li>
|
||
<li>
|
||
<p>Configure the LLM component as needed to connect to your preferred model.</p>
|
||
</li>
|
||
<li>
|
||
<p>Change the LLM component's output type from <strong>Model Response</strong> to <strong>Language Model</strong>.
|
||
The output port changes to a <code>LanguageModel</code> port.
|
||
For more information, see <a href="#language-model-output-types">Language Model output types</a>.</p>
|
||
</li>
|
||
<li>
|
||
<p>Add an <strong>Agent</strong> component to the flow, and then set <strong>Model Provider</strong> to <strong>Custom</strong>.
|
||
The <strong>Model Provider</strong> field changes to a <strong>Language Model</strong> field with a <code>LanguageModel</code> port.</p>
|
||
</li>
|
||
<li>
|
||
<p>Connect the LLM component's output to the <strong>Agent</strong> component's <strong>Language Model</strong> input.
|
||
The <strong>Agent</strong> component now inherits the LLM settings from the connected LLM component instead of using any of the built-in models.</p>
|
||
</li>
|
||
</ol></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/components-agents"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Agents</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/components-embedding-models"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Embedding Model</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#use-language-model-components-in-a-flow" class="table-of-contents__link toc-highlight">Use Language Model components in a flow</a></li><li><a href="#language-model-parameters" class="table-of-contents__link toc-highlight">Language Model parameters</a></li><li><a href="#language-model-output-types" class="table-of-contents__link toc-highlight">Language Model output types</a></li><li><a href="#additional-language-models" class="table-of-contents__link toc-highlight">Additional language models</a></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
|
||
<span>© 2025 Langflow</span>
|
||
<span id="preferenceCenterContainer"> · <a href="https://langflow.org/preferences">Manage Privacy Choices</a></span>
|
||
</div></li></ul></div></div></div></footer><div style="position:fixed;right:21px;bottom:21px;z-index:100;display:flex;align-items:center;gap:10px;cursor:pointer"><div style="background-color:#f6f6f6;border-radius:50%;width:48px;height:48px;display:flex;align-items:center;justify-content:center;box-shadow:0 2px 4px rgba(0,0,0,0.1)"><img src="/img/langflow-icon-black-transparent.svg" style="width:40px" alt="Search"></div></div></div>
|
||
</body>
|
||
</html> |