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</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>
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<!-- -->
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<p>Language model components in Langflow generate text using a specified Large Language Model (LLM).</p>
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<p>Langflow includes a core <strong>Language Model</strong> component that has built-in support for many LLMs, as well as an interface to connect any <a href="#additional-language-model-components">additional language model component</a>.
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The built-in LLMs are appropriate for most text-based language model use cases in Langflow.</p>
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<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>
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<p>Use language model components anywhere you would use an LLM in a flow.</p>
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<p>These components accept inputs like chat messages, files, and instructions in order to generate a text response.
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The flow must include <a href="/components-io#chat-io"><strong>Chat Input/Output</strong> component</a> to allow chat-based interactions with the LLM.
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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>
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<p>The following example uses the core <strong>Language Model</strong> component and a built-in LLM to create a chatbot flow similar to the <a href="/basic-prompting"><strong>Basic Prompting</strong> template</a>.
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The example focuses on using the built-in models, but it also indicates where you can integrate another model.</p>
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<ol>
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<li>
|
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<p>Add the <strong>Language Model</strong> component to your flow.</p>
|
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</li>
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<li>
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<p>In the <strong>OpenAI API Key</strong> field, enter your OpenAI API key.</p>
|
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<p>This example uses the default OpenAI model and a built-in Anthropic model to compare responses from different providers.</p>
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<p>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>
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<p>If you want to use provider or model that isn't built-in to the <strong>Language Model</strong> component, see <a href="#additional-language-model-components">Additional language model components</a> to learn how to connect a <strong>Custom</strong> model provider to the <strong>Language Model</strong> component.
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Then, you can continue following these steps to build your flow.</p>
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</li>
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<li>
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<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>
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||
</li>
|
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<li>
|
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<p>Add a <a href="/components-prompts"><strong>Prompt Template</strong> component</a> to your flow.</p>
|
||
</li>
|
||
<li>
|
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<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>
|
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<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: <code>False</code>.</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-model-components">Additional language model components<a href="#additional-language-model-components" class="hash-link" aria-label="Direct link to Additional language model components" title="Direct link to Additional language model components"></a></h2>
|
||
<p>If your provider or model isn't supported by the core <strong>Language Model</strong> component, additional single-provider language model components 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 bundled components directly in your flows 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>Language Model</strong> and <strong>Agent</strong> components.</p>
|
||
<p>For example, to connect bundled components to the core <strong>Language Model</strong> component, do the following:</p>
|
||
<ol>
|
||
<li>
|
||
<p>In the <strong>Language Model</strong> component, set <strong>Model Provider</strong> to <strong>Custom</strong>.</p>
|
||
<p>The field name changes to <strong>Language Model</strong> and the input port changes to a <code>LanguageModel</code> port.</p>
|
||
</li>
|
||
<li>
|
||
<p>Add a compatible bundled component to your flow, such as the <a href="/bundles-vertexai"><strong>Vertex AI</strong> component for text generation</a>.</p>
|
||
</li>
|
||
<li>
|
||
<p>Change the bundled component's output type to <code>LanguageModel</code>.
|
||
To do this, click <strong>Model Response</strong> near the component's output port, and then select <strong>Language Model</strong>.
|
||
For more information, see <a href="#language-model-output-types">Language Model output types</a>.</p>
|
||
</li>
|
||
<li>
|
||
<p>Connect the bundled component's output to the <strong>Language Model</strong> component's <code>LanguageModel</code> input port.</p>
|
||
<p>The bundled component now provides the LLM configuration for the component that it is connected to, and you can continue building your flow as needed.</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-model-components" class="table-of-contents__link toc-highlight">Additional language model components</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">
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