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<title data-rh="true">Basic Prompting | 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://langflow-ai.github.io/starter-projects-basic-prompting"><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="Basic Prompting | Langflow Documentation"><meta data-rh="true" name="description" content="Prompts serve as the inputs to a large language model (LLM), acting as the interface between human instructions and computational tasks."><meta data-rh="true" property="og:description" content="Prompts serve as the inputs to a large language model (LLM), acting as the interface between human instructions and computational tasks."><link data-rh="true" rel="icon" href="/img/favicon.ico"><link data-rh="true" rel="canonical" href="https://langflow-ai.github.io/starter-projects-basic-prompting"><link data-rh="true" rel="alternate" href="https://langflow-ai.github.io/starter-projects-basic-prompting" hreflang="en"><link data-rh="true" rel="alternate" href="https://langflow-ai.github.io/starter-projects-basic-prompting" hreflang="x-default"><link rel="preconnect" href="https://www.google-analytics.com">
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class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Basic Prompting</span><meta itemprop="position" content="2"></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>Basic Prompting</h1></header><p>Prompts serve as the inputs to a large language model (LLM), acting as the interface between human instructions and computational tasks.</p>
<p>By submitting natural language requests in a prompt to an LLM, you can obtain answers, generate text, and solve problems.</p>
<p>This article demonstrates how to use Langflow&#x27;s prompt tools to issue basic prompts to an LLM, and how various prompting strategies can affect your outcomes.</p>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="20bd7bc51ce04e2fb4922c95f00870d3">Prerequisites<a class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites" href="/starter-projects-basic-prompting#20bd7bc51ce04e2fb4922c95f00870d3"></a></h2>
<ul>
<li><a href="/getting-started-installation">Langflow installed and running</a></li>
<li><a href="https://platform.openai.com/" target="_blank" rel="noopener noreferrer">OpenAI API key created</a></li>
</ul>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="19d5305239c841548a695e2bf7839e7a">Create the basic prompting project<a class="hash-link" aria-label="Direct link to Create the basic prompting project" title="Direct link to Create the basic prompting project" href="/starter-projects-basic-prompting#19d5305239c841548a695e2bf7839e7a"></a></h2>
<ol>
<li>From the Langflow dashboard, click <strong>New Project</strong>.</li>
</ol>
<p><img decoding="async" loading="lazy" src="/assets/images/1835734464-6063a7983f539e49880006e4a13258ec.png" width="3168" height="1782" class="img_ev3q"></p>
<ol>
<li>Select <strong>Basic Prompting</strong>.</li>
<li>The <strong>Basic Prompting</strong> flow is created.</li>
</ol>
<p><img decoding="async" loading="lazy" src="/assets/images/487525520-9a8bbf7999efc0aef8ed5d79d783b533.png" width="2496" height="1404" class="img_ev3q"></p>
<p>This flow allows you to chat with the <strong>OpenAI</strong> component through the <strong>Prompt</strong> component.</p>
<p>Examine the <strong>Prompt</strong> component. The <strong>Template</strong> field instructs the LLM to <code>Answer the user as if you were a pirate.</code> This should be interesting...</p>
<p><img decoding="async" loading="lazy" src="/assets/images/690736575-30936134356368d20b8ccb974aa4c3ab.png" width="3168" height="1782" class="img_ev3q"></p>
<ol>
<li>To create an environment variable for the <strong>OpenAI</strong> component, in the <strong>OpenAI API Key</strong> field, click the <strong>Globe</strong> button, and then click <strong>Add New Variable</strong>.
<ol>
<li>In the <strong>Variable Name</strong> field, enter <code>openai_api_key</code>.</li>
<li>In the <strong>Value</strong> field, paste your OpenAI API Key (<code>sk-...</code>).</li>
<li>Click <strong>Save Variable</strong>.</li>
</ol>
</li>
</ol>
<p><img decoding="async" loading="lazy" src="/assets/images/1390293355-534d14d7781e4df72b01684c44fe3fc6.png" width="1824" height="1026" class="img_ev3q"></p>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="ce52f8e6b491452a9dfb069feb962eed">Run<a class="hash-link" aria-label="Direct link to Run" title="Direct link to Run" href="/starter-projects-basic-prompting#ce52f8e6b491452a9dfb069feb962eed"></a></h2>
<ol>
<li>Click the <strong>Playground</strong> button on the control panel (bottom right side of the workspace). This is where you can interact with your AI.</li>
<li>Type a message and press Enter. The bot should respond in a markedly piratical manner!</li>
</ol>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="3ab045fcbe774c8fb3adc528f9042ba0">Modify the prompt for a different result<a class="hash-link" aria-label="Direct link to Modify the prompt for a different result" title="Direct link to Modify the prompt for a different result" href="/starter-projects-basic-prompting#3ab045fcbe774c8fb3adc528f9042ba0"></a></h2>
<ol>
<li>To modify your prompt results, in the <strong>Prompt</strong> template, click the <strong>Template</strong> field. The <strong>Edit Prompt</strong> window opens.</li>
<li>Change <code>Answer the user as if you were a pirate</code> to a different character, perhaps <code>Answer the user as if you were Hermione Granger.</code></li>
<li>Run the workflow again. The response will be markedly different.</li>
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