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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_z5aJ"><div class="theme-doc-version-banner alert alert--warning margin-bottom--md" role="alert"><div>This is unreleased documentation for <!-- -->Langflow Documentation<!-- --> <b>1.10.x (Next)</b> version.</div><div class="margin-top--md">For up-to-date documentation, see the <b><a href="/agents">latest version</a></b> (<!-- -->1.9.x<!-- -->).</div></div><div class="docItemContainer_c0TR"><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" aria-hidden="true" focusable="false" role="presentation" class="breadcrumbHomeIcon_xK9p"><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">Agents</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Use Langflow agents</span></li></ul></nav><div class="docMetaRow_c2hx"><div class="root_Eutc"><button type="button" class="button_gpNY"><span aria-hidden="true" class="icon_Bm9L"><svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-copy"><rect width="14" height="14" x="8" y="8" rx="2" ry="2"></rect><path d="M4 16c-1.1 0-2-.9-2-2V4c0-1.1.9-2 2-2h10c1.1 0 2 .9 2 2"></path></svg></span><span class="label_LzDG">Copy page</span></button></div><span class="theme-doc-version-badge badge badge--secondary">Version: 1.10.x (Next)</span></div><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>Use Langflow agents</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>Langflow's <a class="" href="/components-agents"><strong>Agent</strong> component</a> is critical for building agent flows.
|
||
This component provides everything you need to create an agent, including multiple Large Language Model (LLM) providers, tool calling, and custom instructions.
|
||
It simplifies agent configuration so you can focus on application development.</p>
|
||
<details class="details_lb9f alert alert--info details_b_Ee" data-collapsed="true"><summary>How do agents work?</summary><div><div class="collapsibleContent_i85q"><p>Agents extend Large Language Models (LLMs) by integrating <em>tools</em>, which are functions that provide additional context and enable autonomous task execution.
|
||
These integrations make agents more specialized and powerful than standalone LLMs.</p><p>Whereas an LLM might generate acceptable, inert responses to general queries and tasks, an agent can leverage the integrated context and tools to provide more relevant responses and even take action.
|
||
For example, you might create an agent that can access your company's documentation, repositories, and other resources to help your team with tasks that require knowledge of your specific products, customers, and code.</p><p>Agents use LLMs as a reasoning engine to process input, determine which actions to take to address the query, and then generate a response.
|
||
The response could be a typical text-based LLM response, or it could involve an action, like editing a file, running a script, or calling an external API.</p><p>In an agentic context, tools are functions that the agent can run to perform tasks or access external resources.
|
||
A function is wrapped as a <code>Tool</code> object with a common interface that the agent understands.
|
||
Agents become aware of tools through tool registration, which is when the agent is provided a list of available tools typically at agent initialization.
|
||
The <code>Tool</code> object's description tells the agent what the tool can do so that it can decide whether the tool is appropriate for a given request.</p></div></div></details>
|
||
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="use-the-agent-component-in-a-flow">Use the Agent component in a flow<a href="#use-the-agent-component-in-a-flow" class="hash-link" aria-label="Direct link to Use the Agent component in a flow" title="Direct link to Use the Agent component in a flow" translate="no"></a></h2>
|
||
<p>The following steps explain how to create an agent flow in Langflow from a blank flow.
|
||
For a prebuilt example, use the <strong>Simple Agent</strong> template or the <a class="" href="/get-started-quickstart">Langflow quickstart</a>.</p>
|
||
<ol>
|
||
<li class="">
|
||
<p>Click <strong>New Flow</strong>, and then click <strong>Blank Flow</strong>.</p>
|
||
</li>
|
||
<li class="">
|
||
<p>Add an <strong>Agent</strong> component to your flow.</p>
|
||
</li>
|
||
<li class="">
|
||
<p>To edit Langflow's global model provider configuration, do the following:</p>
|
||
<ol>
|
||
<li class="">
|
||
<p>To open the <strong>Model Providers</strong> pane, click your profile icon, select <strong>Settings</strong>, and then click <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-brain lf-inline-icon" aria-hidden="true" focusable="false" role="presentation"><path d="M12 5a3 3 0 1 0-5.997.125 4 4 0 0 0-2.526 5.77 4 4 0 0 0 .556 6.588A4 4 0 1 0 12 18Z"></path><path d="M12 5a3 3 0 1 1 5.997.125 4 4 0 0 1 2.526 5.77 4 4 0 0 1-.556 6.588A4 4 0 1 1 12 18Z"></path><path d="M15 13a4.5 4.5 0 0 1-3-4 4.5 4.5 0 0 1-3 4"></path><path d="M17.599 6.5a3 3 0 0 0 .399-1.375"></path><path d="M6.003 5.125A3 3 0 0 0 6.401 6.5"></path><path d="M3.477 10.896a4 4 0 0 1 .585-.396"></path><path d="M19.938 10.5a4 4 0 0 1 .585.396"></path><path d="M6 18a4 4 0 0 1-1.967-.516"></path><path d="M19.967 17.484A4 4 0 0 1 18 18"></path></svg> <strong>Model Providers</strong>.</p>
|
||
</li>
|
||
<li class="">
|
||
<p>In the <strong>Model Providers</strong> pane, select a provider.</p>
|
||
</li>
|
||
<li class="">
|
||
<p>In the <strong>API Key</strong> field, add your provider's API key.</p>
|
||
<p>The key must have permission to call the models you want to use in your flow, and your account must have sufficient credits for the actions you want to perform.</p>
|
||
<p>You can only add one key for each provider. Make sure the key has access to <em>all</em> models that you want to use in Langflow.</p>
|
||
</li>
|
||
<li class="">
|
||
<p>Enable the specific models that you want to use in Langflow.
|
||
The available models depend on the provider and your API key's permissions.
|
||
Models that generate text are listed under <strong>Language Models</strong>.
|
||
Models that generate embeddings are listed under <strong>Embedding Models</strong>.</p>
|
||
</li>
|
||
</ol>
|
||
<p>After you enable a model in Langflow's global model configuration, you can use that model in any model-driven component in your flows.</p>
|
||
</li>
|
||
<li class="">
|
||
<p>Select the model that you want to use from the <strong>Language Model</strong> dropdown.
|
||
If your preferred model isn't listed, make sure it's enabled in the <strong>Models</strong> configuration.
|
||
For more information, see <a href="#agent-component-parameters" class="">Agent component parameters</a>.</p>
|
||
</li>
|
||
<li class="">
|
||
<p>Add <a class="" href="/chat-input-and-output"><strong>Chat Input</strong> and <strong>Chat Output</strong> components</a> to your flow, and then connect them to the <strong>Agent</strong> component.</p>
|
||
<p>At this point, you have created a basic LLM-based chat flow that you can test in the <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-play lf-inline-icon" aria-hidden="true" focusable="false" role="presentation"><polygon points="6 3 20 12 6 21 6 3"></polygon></svg> <strong>Playground</strong>.
|
||
However, this flow only chats with the LLM.
|
||
To enhance this flow and make it truly agentic, add some tools, as explained in the next steps.</p>
|
||
<p><img decoding="async" loading="lazy" alt="A basic agent chat flow with Chat Input, Agent, and Chat Output components." src="/assets/images/agent-example-add-chat-96c042592973dd0f86ed13d19ef1fa24.png" width="4000" height="2412" class="img_ev3q"></p>
|
||
</li>
|
||
<li class="">
|
||
<p>Add <strong>Web Search</strong>, <strong>URL</strong>, and <strong>Calculator</strong> components to your flow.</p>
|
||
</li>
|
||
<li class="">
|
||
<p>Enable <strong>Tool Mode</strong> in the <strong>Web Search</strong>, <strong>URL</strong>, and <strong>Calculator</strong> components:</p>
|
||
<ol>
|
||
<li class="">Click the <strong>Web Search</strong> component to expose the <a class="" href="/concepts-components#component-menus">component's header menu</a>, and then enable <strong>Tool Mode</strong>.</li>
|
||
<li class="">Repeat for the <strong>URL</strong> and <strong>Calculator</strong> components.</li>
|
||
<li class="">Connect the <strong>Toolset</strong> port for each tool component to the <strong>Tools</strong> port on the <strong>Agent</strong> component.</li>
|
||
</ol>
|
||
<p><strong>Tool Mode</strong> makes a component into a tool by modifying the component's inputs.
|
||
With <strong>Tool Mode</strong> enabled, a component can accept requests from an <strong>Agent</strong> component to use the component's available actions as tools.</p>
|
||
<p>When in <strong>Tool Mode</strong>, a component has a <strong>Toolset</strong> port that you must connect to an <strong>Agent</strong> component's <strong>Tools</strong> port if you want to allow the agent to use that component's actions as tools.</p>
|
||
<p>For more information, see <a class="" href="/agents-tools">Configure tools for agents</a>.</p>
|
||
<p><img decoding="async" loading="lazy" alt="A more complex agent chat flow where three components are connected to the Agent component as tools" src="/assets/images/agent-example-add-tools-aa545843799b2155b926b723a4f3922e.png" width="4000" height="2742" class="img_ev3q"></p>
|
||
</li>
|
||
<li class="">
|
||
<p>Open the <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-play lf-inline-icon" aria-hidden="true" focusable="false" role="presentation"><polygon points="6 3 20 12 6 21 6 3"></polygon></svg> <strong>Playground</strong>, and then ask the agent, <code>What tools are you using to answer my questions?</code></p>
|
||
<p>The agent should respond with a list of the connected tools.
|
||
It may also include built-in tools.</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>I use a combination of my built-in knowledge (up to June 2024) and a set of external tools to answer your questions. Here are the main types of tools I can use:</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>Web Search & Content Fetching: I can fetch and summarize content from web pages, including crawling links recursively.</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>News Search: I can search for recent news articles using Google News via RSS feeds.</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>Calculator: I can perform arithmetic calculations and evaluate mathematical expressions.</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>Date & Time: I can provide the current date and time in various time zones.</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>These tools help me provide up-to-date information, perform calculations, and retrieve specific data from the internet when needed. If you have a specific question, let me know, and I'll use the most appropriate tool(s) to help!</span></div></div><br></code></div></div>
|
||
</li>
|
||
<li class="">
|
||
<p>To test a specific tool, ask the agent a question that uses one of the tools, such as <code>Summarize today's tech news</code>.</p>
|
||
<p>To help you debug and test your flows, the <strong>Playground</strong> displays the agent's tool calls, the provided input, and the raw output the agent received before generating the summary.
|
||
With the given example, the agent should call the <strong>Web Search</strong> component with <strong>Search Mode</strong> set to <strong>News</strong>.</p>
|
||
</li>
|
||
</ol>
|
||
<p>You've successfully created a basic agent flow that uses some generic tools.</p>
|
||
<p>To continue building on this tutorial, try connecting other tool components or <a class="" href="/mcp-client">use Langflow as an MCP client</a> to support more complex and specialized tasks.</p>
|
||
<p>For a multi-agent example, see <a class="" href="/agents-tools#use-an-agent-as-a-tool">Use an agent as a tool</a>.</p>
|
||
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="agent-component-parameters">Agent component parameters<a href="#agent-component-parameters" class="hash-link" aria-label="Direct link to Agent component parameters" title="Direct link to Agent component parameters" translate="no"></a></h2>
|
||
<p>You can configure the <strong>Agent</strong> component to use your preferred provider and model, custom instructions, and tools.</p>
|
||
<p>Some parameters are hidden by default in the visual editor.
|
||
You can modify all component parameters through the <a class="" href="/concepts-components#component-inspection-panel">component inspection panel</a> that appears when you select a component.</p>
|
||
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="provider-and-model">Provider and model<a href="#provider-and-model" class="hash-link" aria-label="Direct link to Provider and model" title="Direct link to Provider and model" translate="no"></a></h3>
|
||
<p>Use the <strong>Language Model</strong> (<code>agent_llm</code>) setting to select the LLM that you want the agent to use.</p>
|
||
<p>To edit Langflow's global model provider configuration, do the following:</p>
|
||
<ol>
|
||
<li class="">
|
||
<p>To open the <strong>Model Providers</strong> pane, click your profile icon, select <strong>Settings</strong>, and then click <svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-brain lf-inline-icon" aria-hidden="true" focusable="false" role="presentation"><path d="M12 5a3 3 0 1 0-5.997.125 4 4 0 0 0-2.526 5.77 4 4 0 0 0 .556 6.588A4 4 0 1 0 12 18Z"></path><path d="M12 5a3 3 0 1 1 5.997.125 4 4 0 0 1 2.526 5.77 4 4 0 0 1-.556 6.588A4 4 0 1 1 12 18Z"></path><path d="M15 13a4.5 4.5 0 0 1-3-4 4.5 4.5 0 0 1-3 4"></path><path d="M17.599 6.5a3 3 0 0 0 .399-1.375"></path><path d="M6.003 5.125A3 3 0 0 0 6.401 6.5"></path><path d="M3.477 10.896a4 4 0 0 1 .585-.396"></path><path d="M19.938 10.5a4 4 0 0 1 .585.396"></path><path d="M6 18a4 4 0 0 1-1.967-.516"></path><path d="M19.967 17.484A4 4 0 0 1 18 18"></path></svg> <strong>Model Providers</strong>.</p>
|
||
</li>
|
||
<li class="">
|
||
<p>In the <strong>Model Providers</strong> pane, select a provider.</p>
|
||
</li>
|
||
<li class="">
|
||
<p>In the <strong>API Key</strong> field, add your provider's API key.</p>
|
||
<p>The key must have permission to call the models you want to use in your flow, and your account must have sufficient credits for the actions you want to perform.</p>
|
||
<p>You can only add one key for each provider. Make sure the key has access to <em>all</em> models that you want to use in Langflow.</p>
|
||
</li>
|
||
<li class="">
|
||
<p>Enable the specific models that you want to use in Langflow.
|
||
The available models depend on the provider and your API key's permissions.
|
||
Models that generate text are listed under <strong>Language Models</strong>.
|
||
Models that generate embeddings are listed under <strong>Embedding Models</strong>.</p>
|
||
</li>
|
||
</ol>
|
||
<p>After you enable a model in Langflow's global model configuration, you can use that model in any model-driven component in your flows.</p>
|
||
<p>To use a model with the <strong>Agent</strong> component, select the model in the <strong>Agent</strong> component's <strong>Language Model</strong> field.</p>
|
||
<p>The <strong>Language Model</strong> field lists all language models that you've configured globally. If a provider doesn't have any language models available, they aren't listed.
|
||
For example, if a provider offers only embeddings models, those models aren't listed on the <strong>Agent</strong> component.</p>
|
||
<p>To access other providers or models, you can do either of the following:</p>
|
||
<ul>
|
||
<li class="">Connect any <a class="" href="/components-models">language model component</a> to the <strong>Agent</strong> component's <strong>Language Model</strong> port. This option allows you to connect a custom language model component to use models that aren't available in the global model providers list.</li>
|
||
<li class="">Configure additional providers in the <strong>Models</strong> pane, and then select the model from the <strong>Language Model</strong> dropdown.</li>
|
||
</ul>
|
||
<p>If you need to generate embeddings in your flow, use an <a class="" href="/components-embedding-models">embedding model component</a>.</p>
|
||
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="agent-instructions-and-input">Agent instructions and input<a href="#agent-instructions-and-input" class="hash-link" aria-label="Direct link to Agent instructions and input" title="Direct link to Agent instructions and input" translate="no"></a></h3>
|
||
<p>In the <strong>Agent Instructions</strong> (<code>system_prompt</code>) field, you can provide custom instructions that you want the <strong>Agent</strong> component to use for every conversation.</p>
|
||
<p>These instructions are applied in addition to the <strong>Input</strong> (<code>input_value</code>), which can be entered directly or provided through another component, such as a <strong>Chat Input</strong> component.</p>
|
||
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="tools">Tools<a href="#tools" class="hash-link" aria-label="Direct link to Tools" title="Direct link to Tools" translate="no"></a></h3>
|
||
<p>Agents are most useful when they have the appropriate tools available to complete requests.</p>
|
||
<p>An <strong>Agent</strong> component can use any Langflow component as a tool, including other agents and MCP servers.</p>
|
||
<p>To attach a component as a tool, you must enable <strong>Tool Mode</strong> on the component that you want to attach, and then attach it to the <strong>Agent</strong> component's <strong>Tools</strong> port.
|
||
For more information, see <a class="" href="/agents-tools">Configure tools for agents</a>.</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" role="img" aria-label="Tip icon" focusable="false"><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>tip</div><div class="admonitionContent_BuS1"><p>To allow agents to use tools from MCP servers, use the <a class="" href="/mcp-tools"><strong>MCP Tools</strong> component</a>.</p></div></div>
|
||
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="agent-memory">Agent memory<a href="#agent-memory" class="hash-link" aria-label="Direct link to Agent memory" title="Direct link to Agent memory" translate="no"></a></h3>
|
||
<p>Langflow agents have built-in chat memory that is enabled by default.
|
||
This memory allows them to retrieve and reference messages from previous conversations, maintaining a rolling context window for each chat session ID.</p>
|
||
<p>Chat memories are grouped by <a class="" href="/session-id">session ID (<code>session_id</code>)</a>.
|
||
It is recommended to use custom session IDs if you need to segregate chat memory for different users or applications that run the same flow.</p>
|
||
<p>By default, the <strong>Agent</strong> component uses your Langflow installation's storage, and it retrieves a limited number of chat messages, which you can configure with the <strong>Number of Chat History Messages</strong> parameter.</p>
|
||
<p>The <strong>Message History</strong> component isn't required for default chat memory, but it is required if you want to use external chat memory like Mem0.
|
||
Additionally, the <strong>Message History</strong> component provides more options for sorting, filtering, and limiting memories. Although, most of these options are built-in to the <strong>Agent</strong> component with default values.</p>
|
||
<p>For more information, see <a class="" href="/memory#store-chat-memory">Store chat memory</a> and <a class="" href="/message-history"><strong>Message History</strong> component</a>.</p>
|
||
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="additional-parameters">Additional parameters<a href="#additional-parameters" class="hash-link" aria-label="Direct link to Additional parameters" title="Direct link to Additional parameters" translate="no"></a></h3>
|
||
<p>With the <strong>Agent</strong> component, the available parameters can change depending on the selected provider and model, including support for additional modes, arguments, or features like chat memory and temperature.
|
||
For example:</p>
|
||
<ul>
|
||
<li class=""><strong>Current Date</strong> (<code>add_current_date_tool</code>): When enabled (<code>true</code>), this setting adds a tool to the agent that can retrieve the current date.</li>
|
||
<li class=""><strong>Handle Parse Errors</strong> (<code>handle_parsing_errors</code>): When enabled (<code>true</code>), this setting allows the agent to fix errors, like typos, when analyzing user input.</li>
|
||
<li class=""><strong>Verbose</strong> (<code>verbose</code>): When enabled (<code>true</code>), this setting records detailed logging output for debugging and analysis.</li>
|
||
</ul>
|
||
<p>Some parameters are hidden by default in the visual editor.
|
||
You can modify all component parameters through the <a class="" href="/concepts-components#component-inspection-panel">component inspection panel</a> that appears when you select a component.</p>
|
||
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="agent-component-output">Agent component output<a href="#agent-component-output" class="hash-link" aria-label="Direct link to Agent component output" title="Direct link to Agent component output" translate="no"></a></h2>
|
||
<p>The <strong>Agent</strong> component outputs a <strong>Response</strong> (<code>response</code>) that is <a class="" href="/data-types#message"><code>Message</code> data</a> containing the agent's raw response to the query.</p>
|
||
<p>Typically, this is passed to a <strong>Chat Output</strong> component to return the response in a human-readable format.
|
||
It can also be passed to other components if you need to process the response further before, or in addition to, returning it to the user.</p>
|
||
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="see-also">See also<a href="#see-also" class="hash-link" aria-label="Direct link to See also" title="Direct link to See also" translate="no"></a></h2>
|
||
<ul>
|
||
<li class=""><a class="" href="/components-agents"><strong>Agent</strong> and <strong>MCP Tools</strong> components</a></li>
|
||
<li class=""><a class="" href="/agents-tools">Configure tools for agents</a></li>
|
||
</ul></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/next/langflow-assistant"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Build components with Langflow Assistant</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/next/agents-tools"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Configure tools for agents</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-the-agent-component-in-a-flow" class="table-of-contents__link toc-highlight">Use the Agent component in a flow</a></li><li><a href="#agent-component-parameters" class="table-of-contents__link toc-highlight">Agent component parameters</a><ul><li><a href="#provider-and-model" class="table-of-contents__link toc-highlight">Provider and model</a></li><li><a href="#agent-instructions-and-input" class="table-of-contents__link toc-highlight">Agent instructions and input</a></li><li><a href="#tools" class="table-of-contents__link toc-highlight">Tools</a></li><li><a href="#agent-memory" class="table-of-contents__link toc-highlight">Agent memory</a></li><li><a href="#additional-parameters" class="table-of-contents__link toc-highlight">Additional parameters</a></li></ul></li><li><a href="#agent-component-output" class="table-of-contents__link toc-highlight">Agent component output</a></li><li><a href="#see-also" class="table-of-contents__link toc-highlight">See also</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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