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4.172v-11z"></path></svg></a></li></ul></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" itemscope="" itemtype="https://schema.org/BreadcrumbList"><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">Tutorials</span><meta itemprop="position" content="1"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Sequential tasks agent</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>Sequential tasks agent</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>Build a <strong>Sequential Tasks Agent</strong> flow for a multi-agent application using multiple <strong>Agent</strong> components.</p>
<p>Each agent has an LLM model and a unique set of tools at its disposal, with <strong>Prompt</strong> components connected to the <strong>Agent Instructions</strong> fields to control the agent&#x27;s behavior. For example, the <strong>Researcher Agent</strong> has a <strong>Tavily AI Search</strong> component connected as a tool. The <strong>Prompt</strong> instructs the agent how to answer your query, format the response, and pass the query and research results on to the next agent in the flow.</p>
<p>Each successive agent in the flow builds on the work of the previous agent, creating a chain of reasoning for solving complex problems.</p>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites"></a></h2>
<ul>
<li><a href="https://platform.openai.com/" target="_blank" rel="noopener noreferrer">An OpenAI API key</a></li>
<li><a href="https://www.tavily.com/" target="_blank" rel="noopener noreferrer">A Tavily AI API key</a></li>
</ul>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="open-langflow-and-create-a-new-flow">Open Langflow and create a new flow<a href="#open-langflow-and-create-a-new-flow" class="hash-link" aria-label="Direct link to Open Langflow and create a new flow" title="Direct link to Open Langflow and create a new flow"></a></h2>
<ol>
<li>Click <strong>New Flow</strong>, and then select <strong>Sequential Tasks Agent</strong>.
This opens a starter template with the necessary components to run the flow.</li>
</ol>
<p><img decoding="async" loading="lazy" alt="Starter flow for Sequential Tasks Agent" src="/assets/images/starter-flow-sequential-agent-ccd15bee6bedbe3a33c81a12c10d6475.png" width="2908" height="1106" class="img_ev3q"></p>
<p>The Sequential Tasks Agent flow consists of these components:</p>
<ul>
<li>The <strong>Agent</strong> components use the connected LLM to analyze the user&#x27;s input and select among the connected tools to complete the tasks.</li>
<li>The <strong>Chat Input</strong> component accepts user input to the chat.</li>
<li>The <strong>Prompt</strong> component combines the user input with a user-defined prompt.</li>
<li>The <strong>Chat Output</strong> component prints the flow&#x27;s output to the chat.</li>
<li>The <strong>YFinance</strong> tool component provides access to financial data from Yahoo Finance.</li>
<li>The <strong>Tavily AI Search</strong> tool component performs AI-powered web searches.</li>
<li>The <strong>Calculator</strong> tool component performs mathematical calculations.</li>
</ul>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="run-the-sequential-tasks-agent-flow">Run the Sequential Tasks Agent flow<a href="#run-the-sequential-tasks-agent-flow" class="hash-link" aria-label="Direct link to Run the Sequential Tasks Agent flow" title="Direct link to Run the Sequential Tasks Agent flow"></a></h2>
<ol>
<li>Add your OpenAI API key to the <strong>Agent</strong> components.</li>
<li>Add your Tavily API key to the <strong>Tavily</strong> component.</li>
<li>Click <strong>Playground</strong> to start a chat session with the template&#x27;s default question.</li>
</ol>
<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>Should I invest in Tesla (TSLA) stock right now?</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>Please analyze the company&#x27;s current position, market trends,</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>financial health, and provide a clear investment recommendation.</span></div></div><br></code></div></div>
<p>This question provides clear instructions to the agents about how to proceed and what question to answer.</p>
<ol start="4">
<li>In the <strong>Playground</strong>, inspect the answers to see how the agents use the <strong>Tavily AI Search</strong> tool to research the query, the <strong>YFinance</strong> tool to analyze the stock data, and the <strong>Calculator</strong> to determine if the stock is a wise investment.</li>
<li>Ask similar questions to see how the agents use the tools to answer your queries.</li>
</ol>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="next-steps">Next steps<a href="#next-steps" class="hash-link" aria-label="Direct link to Next steps" title="Direct link to Next steps"></a></h2>
<p>To create your own multi-agent flow, see <a href="/agents-tool-calling-agent-component">Create a problem solving agent</a>.</p></div></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/tutorials-math-agent"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Math agent</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/tutorials-travel-planning-agent"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Travel planning agent</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="#prerequisites" class="table-of-contents__link toc-highlight">Prerequisites</a></li><li><a href="#open-langflow-and-create-a-new-flow" class="table-of-contents__link toc-highlight">Open Langflow and create a new flow</a></li><li><a href="#run-the-sequential-tasks-agent-flow" class="table-of-contents__link toc-highlight">Run the Sequential Tasks Agent flow</a></li><li><a href="#next-steps" class="table-of-contents__link toc-highlight">Next steps</a></li></ul></div></div></div></div></main></div></div></div><div style="position:fixed;right:20px;bottom:20px;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>
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