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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">Develop</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Use Langflow data types</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>Langflow data types</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 components are designed to accept and produce specific types of inputs and outputs.
|
||
Input and output data types define the structure and flow of information between components.
|
||
Understanding these structures helps you build applications that provide valid input and correctly anticipate the output format.</p>
|
||
<p><a href="/concepts-components#component-ports">Component ports</a> represent the data types that each component can send and receive.
|
||
Some data types are self-evident from the fields they are attached to; for example, a <strong>System Message</strong> field accepts <a href="#message">message data</a>.
|
||
<a href="/concepts-components#port-colors">Port colors</a> also indicate the port's data type.
|
||
For example <strong>Data</strong> ports, represented by <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-circle" aria-label="Red data port" style="color:#dc2626;fill:#dc2626"><circle cx="12" cy="12" r="10"></circle></svg>, either accept or emit <a href="#data">structured data objects</a>.</p>
|
||
<p>When building flows, connect output ports to input ports of the same type (color) to transfer that type of data between two components.</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>tip</div><div class="admonitionContent_BuS1"><ul>
|
||
<li>
|
||
<p>In the <a href="/concepts-overview#workspace">workspace</a>, hover over a port to see connection details for that port.
|
||
Click a port to <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-search" aria-hidden="true"><circle cx="11" cy="11" r="8"></circle><path d="m21 21-4.3-4.3"></path></svg> <strong>Search</strong> for compatible components.</p>
|
||
</li>
|
||
<li>
|
||
<p>If two components have incompatible data types, you can use a processing component like the <a href="/components-processing#type-convert"><strong>Type Convert</strong> component</a> to convert the data between components.</p>
|
||
</li>
|
||
</ul></div></div>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="data">Data<a href="#data" class="hash-link" aria-label="Direct link to Data" title="Direct link to Data"></a></h2>
|
||
<p><strong>Data</strong> ports <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-circle" aria-label="Red data port" style="color:#dc2626;fill:#dc2626"><circle cx="12" cy="12" r="10"></circle></svg> accept or produce the <code>Data</code> type, which is a structured data object, like a JSON payload that you might send to an API.
|
||
This data type is used to pass key-value pairs between components, such as user profiles, settings, or other structured information.</p>
|
||
<p><code>Data</code> objects include a primary text field, indicated by a <code>text_key</code>, and additional metadata.</p>
|
||
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="schema-and-attributes">Schema and attributes<a href="#schema-and-attributes" class="hash-link" aria-label="Direct link to Schema and attributes" title="Direct link to Schema and attributes"></a></h3>
|
||
<p>The schema is defined in <a href="https://github.com/langflow-ai/langflow/blob/main/src/backend/base/langflow/schema/data.py" target="_blank" rel="noopener noreferrer"><code>data.py</code></a>.</p>
|
||
<p>The following attributes are available:</p>
|
||
<ul>
|
||
<li><code>data</code>: A <code>Data</code> object stores key-value pairs within the <code>.data</code> attribute. This is the <code>Data</code> object's core dictionary. Each key is a field name, and the values can be any supported data type.</li>
|
||
<li><code>text_key</code>: The key in <code>data</code> that is considered the primary text value.</li>
|
||
<li><code>default_value</code>: Fallback if <code>text_key</code> is missing. The default <code>text_key</code> is <code>"text"</code>.</li>
|
||
</ul>
|
||
<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>data_obj = Data(</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> text_key="text",</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> data={</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> "text": "Hello world",</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> "name": "Charlie",</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> "age": 28</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> },</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> default_value=""</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>)</span></div></div><br></code></div></div>
|
||
<p><code>Data</code> objects can be serialized to JSON, created from JSON, or created from other dictionary data.
|
||
However, the resulting <code>Data</code> object is a structured object with validation and methods, not a plain dictionary.
|
||
For example, when serialized into JSON, the previous Python example becomes the following JSON object:</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>{</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> "text_key": "text",</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> "data": {</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> "text": "Hello world",</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> "name": "Charlie",</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> "age": 28</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> },</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> "default_value": ""</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>}</span></div></div><br></code></div></div>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="dataframe">DataFrame<a href="#dataframe" class="hash-link" aria-label="Direct link to DataFrame" title="Direct link to DataFrame"></a></h2>
|
||
<p><strong>DataFrame</strong> ports <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-circle" aria-label="Pink dataframe port" style="color:#ec4899;fill:#ec4899"><circle cx="12" cy="12" r="10"></circle></svg> accept or produce <a href="https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html" target="_blank" rel="noopener noreferrer">pandas DataFrames</a>, which are similar to the tabular CSV data.</p>
|
||
<p>Use the <code>DataFrame</code> type to work with data containing multiple rows or records.</p>
|
||
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="schema-and-attributes-1">Schema and attributes<a href="#schema-and-attributes-1" class="hash-link" aria-label="Direct link to Schema and attributes" title="Direct link to Schema and attributes"></a></h3>
|
||
<p>The schema is defined in <a href="https://github.com/langflow-ai/langflow/blob/main/src/backend/base/langflow/schema/dataframe.py" target="_blank" rel="noopener noreferrer"><code>dataframe.py</code></a>.</p>
|
||
<p>The following attributes are available:</p>
|
||
<ul>
|
||
<li>
|
||
<p><strong>Full pandas compatibility</strong>: All pandas DataFrame methods and functionality are supported</p>
|
||
</li>
|
||
<li>
|
||
<p><strong>Langflow integration</strong>: Accepts lists of <a href="#data"><code>Data</code> objects</a>, dictionaries, or existing DataFrames.</p>
|
||
</li>
|
||
<li>
|
||
<p><strong>Convenience methods</strong>:</p>
|
||
<ul>
|
||
<li><code>to_data_list()</code></li>
|
||
<li><code>add_row()</code></li>
|
||
<li><code>add_rows()</code></li>
|
||
<li><code>to_lc_documents()</code></li>
|
||
<li><code>to_data()</code></li>
|
||
<li><code>to_message()</code></li>
|
||
</ul>
|
||
</li>
|
||
<li>
|
||
<p><strong>Text key support</strong>: Maintains <code>text_key</code> and <code>default_value</code> attributes for <a href="#data"><code>Data</code> object</a> compatibility.</p>
|
||
</li>
|
||
</ul>
|
||
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="dataframe-structure">DataFrame structure<a href="#dataframe-structure" class="hash-link" aria-label="Direct link to DataFrame structure" title="Direct link to DataFrame structure"></a></h3>
|
||
<p>A DataFrame has a tabular data structure with rows and columns.
|
||
Keys are columns, and each object in the array is a row.</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">_<!-- -->12</span><div style="display:inline-block;margin-left:16px"><span>[</span></div></div><div><span class="ch-code-line-number">_<!-- -->12</span><div style="display:inline-block;margin-left:16px"><span> {</span></div></div><div><span class="ch-code-line-number">_<!-- -->12</span><div style="display:inline-block;margin-left:16px"><span> "name": "Charlie Lastname",</span></div></div><div><span class="ch-code-line-number">_<!-- -->12</span><div style="display:inline-block;margin-left:16px"><span> "age": 28,</span></div></div><div><span class="ch-code-line-number">_<!-- -->12</span><div style="display:inline-block;margin-left:16px"><span> "email": "charlie.lastname@example.com"</span></div></div><div><span class="ch-code-line-number">_<!-- -->12</span><div style="display:inline-block;margin-left:16px"><span> },</span></div></div><div><span class="ch-code-line-number">_<!-- -->12</span><div style="display:inline-block;margin-left:16px"><span> {</span></div></div><div><span class="ch-code-line-number">_<!-- -->12</span><div style="display:inline-block;margin-left:16px"><span> "name": "Alexandra Example",</span></div></div><div><span class="ch-code-line-number">_<!-- -->12</span><div style="display:inline-block;margin-left:16px"><span> "age": 34,</span></div></div><div><span class="ch-code-line-number">_<!-- -->12</span><div style="display:inline-block;margin-left:16px"><span> "email": "alexandra@example.com"</span></div></div><div><span class="ch-code-line-number">_<!-- -->12</span><div style="display:inline-block;margin-left:16px"><span> }</span></div></div><div><span class="ch-code-line-number">_<!-- -->12</span><div style="display:inline-block;margin-left:16px"><span>]</span></div></div><br></code></div></div>
|
||
<p>When represented as tabular data, the preceding DataFrame object is structured as follows:</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>| name | age | email |</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>|------|-----|-------|</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>| Charlie Lastname | 28 | charlie.lastname@example.com |</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>| Alexandra Example | 34 | alexandra@example.com |</span></div></div><br></code></div></div>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="embeddings">Embeddings<a href="#embeddings" class="hash-link" aria-label="Direct link to Embeddings" title="Direct link to Embeddings"></a></h2>
|
||
<p><strong>Embeddings</strong> ports <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-circle" aria-label="Emerald embeddings port" style="color:#10b981;fill:#10b981"><circle cx="12" cy="12" r="10"></circle></svg> emit or ingest vector embeddings to support functions like similarity search.</p>
|
||
<p>The <code>Embeddings</code> data type is used specifically by components that either produce or consume vector embeddings, such as the <a href="/components-embedding-models">embedding model components</a> and vector store components.</p>
|
||
<p>For example, embedding model components output <code>Embeddings</code> data that you can connect to an <strong>Embedding</strong> input port on a vector store component.</p>
|
||
<p>For information about the underlying Python classes that produce <code>Embeddings</code>, see the <a href="https://python.langchain.com/docs/integrations/text_embedding/" target="_blank" rel="noopener noreferrer">LangChain Embedding models documentation</a>.</p>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="languagemodel">LanguageModel<a href="#languagemodel" class="hash-link" aria-label="Direct link to LanguageModel" title="Direct link to LanguageModel"></a></h2>
|
||
<p>The <code>LanguageModel</code> type is a specific data type that can be produced by language model components and accepted by components that use an LLM.</p>
|
||
<p>When you change a language model component's output type from <strong>Model Response</strong> to <strong>Language Model</strong>, the component's output port changes from a <strong>Message</strong> port to a <strong>Language Model</strong> port <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-circle" aria-label="Fuchsia language model port" style="color:#c026d3;fill:#c026d3"><circle cx="12" cy="12" r="10"></circle></svg>.
|
||
Then, you connect the outgoing <strong>Language Model</strong> port to a <strong>Language Model</strong> input port on a compatible component, such as a <strong>Smart Transform</strong> component.</p>
|
||
<p>For more information about using these components in flows and toggling <code>LanguageModel</code> output, see <a href="/components-models#language-model-output-types">Language model components</a>.</p>
|
||
<details class="details_lb9f alert alert--info details_b_Ee" data-collapsed="true"><summary>LanguageModel is an instance of LangChain ChatModel</summary><div><div class="collapsibleContent_i85q"><p>Because Langflow is built on LangChain, <code>LanguageModel</code> is actually an instance of a <a href="https://python.langchain.com/docs/concepts/chat_models/" target="_blank" rel="noopener noreferrer">LangChain chat model</a> that uses the configuration parameters set in the originating component.</p><p>Often, components produce an instance of an <a href="https://python.langchain.com/docs/integrations/chat/" target="_blank" rel="noopener noreferrer">integrated chat model</a> that is designed to support the specific model provider, such as <a href="https://python.langchain.com/docs/integrations/chat/openai/" target="_blank" rel="noopener noreferrer"><code>ChatOpenAI</code></a> or <a href="https://python.langchain.com/docs/integrations/chat/anthropic/" target="_blank" rel="noopener noreferrer"><code>ChatAnthropic</code></a>.</p><p>You can inspect the <a href="/concepts-components#component-code">component code</a> to see the specific <code>Chat</code> instance it produces.</p></div></div></details>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="memory">Memory<a href="#memory" class="hash-link" aria-label="Direct link to Memory" title="Direct link to Memory"></a></h2>
|
||
<p><strong>Memory</strong> ports <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-circle" aria-label="Orange memory port" style="color:#f97316;fill:#f97316"><circle cx="12" cy="12" r="10"></circle></svg> are used to integrate a <strong>Message History</strong> component with external chat memory storage.</p>
|
||
<p>For more information, see the <a href="/components-helpers#message-history"><strong>Message History</strong> component</a>.</p>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="message">Message<a href="#message" class="hash-link" aria-label="Direct link to Message" title="Direct link to Message"></a></h2>
|
||
<p><strong>Message</strong> ports <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-circle" aria-label="Indigo message port" style="color:#4f46e5;fill:#4f46e5"><circle cx="12" cy="12" r="10"></circle></svg> accept or produce <code>Message</code> data, which extends the <a href="#data"><code>Data</code> type</a> with additional fields and methods for text input typically used in chat flows.</p>
|
||
<p>This data type is used by many components.</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>tip</div><div class="admonitionContent_BuS1"><p>Components that accept or produce <code>Message</code> data may not include all attributes in the incoming or outgoing <code>Message</code> data.
|
||
As long as the data is compatible with the <code>Message</code> schema, it can be valid.</p><p>When building flows, focus on the fields shown on each component in the workspace, rather than the data types passed between components.
|
||
The details of a particular data type are often only relevant when you are debugging a flow or component that isn't producing the expected output.</p><p>For example, a <strong>Chat Input</strong> component only requires the content of the <strong>Input Text</strong> (<code>input_value</code>) field.
|
||
The component then constructs a complete <code>Message</code> object before passing the data to other components in the flow.</p></div></div>
|
||
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="schema-structure-and-attributes">Schema, structure, and attributes<a href="#schema-structure-and-attributes" class="hash-link" aria-label="Direct link to Schema, structure, and attributes" title="Direct link to Schema, structure, and attributes"></a></h3>
|
||
<p>The <code>Message</code> schema is defined in <a href="https://github.com/langflow-ai/langflow/blob/main/src/backend/base/langflow/schema/message.py" target="_blank" rel="noopener noreferrer"><code>message.py</code></a>.
|
||
Some <code>Message</code> attributes have their own schema definitions, such as <a href="https://github.com/langflow-ai/langflow/blob/main/src/backend/base/langflow/schema/content_block.py" target="_blank" rel="noopener noreferrer"><code>content_block.py</code></a>.</p>
|
||
<p><code>Message</code> data is structured as a JSON object.
|
||
For example:</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>{</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> "text": "Name: Charlie Lastname, Age: 28, Email: charlie.lastname@example.com",</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> "sender": "User",</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> "sender_name": "Charlie Lastname",</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> "session_id": "some-session-id",</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> "timestamp": "2024-06-01T12:00:00Z",</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> "files": [],</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> "content_blocks": [],</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span> "category": "message"</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>}</span></div></div><br></code></div></div>
|
||
<p>The attributes included in a specific <code>Message</code> object depend on the context, including the component type, flow activity, and whether the message is a query or response.
|
||
Some common attributes include the following:</p>
|
||
<ul>
|
||
<li><code>text</code>: The main message content.</li>
|
||
<li><code>sender</code>: Identifies the originator of a chat message as either <code>User</code> or <code>Language Model</code>.</li>
|
||
<li><code>sender_name</code>: The display name for the sender. Defaults to <code>User</code> or <code>Language Model</code>.</li>
|
||
<li><code>session_id</code>: The chat <a href="/session-id">session identifier</a>.</li>
|
||
<li><code>flow_id</code>: The ID of the flow that the message is associated with. <code>flow_id</code> and <code>session_id</code> are the same if the flow doesn't use custom session IDs.</li>
|
||
<li><code>timestamp</code>: The UTC timestamp that the message was sent.</li>
|
||
<li><code>files</code>: A list of file paths or images included with the message</li>
|
||
<li><code>content_blocks</code>: Container for rich content input, such as text, media, or code. Also contains error message information if the LLM can't process the input.</li>
|
||
<li><code>category</code>: <code>"message"</code>, <code>"error"</code>, <code>"warning"</code>, or <code>"info"</code>.</li>
|
||
</ul>
|
||
<p>Not all attributes are required, and some components accept message-compatible input, such as raw text input.
|
||
The strictness depends on the component.</p>
|
||
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="message-data-in-input-and-output-components">Message data in Input and Output components<a href="#message-data-in-input-and-output-components" class="hash-link" aria-label="Direct link to Message data in Input and Output components" title="Direct link to Message data in Input and Output components"></a></h3>
|
||
<p>In flows with <a href="/components-io#chat-io"><strong>Chat Input and Output</strong> components</a>, <code>Message</code> data provides a consistent structure for chat interactions, and it is ideal for chatbots, conversational analysis, and other use cases based on a dialogue with an LLM or agent.
|
||
In these flows, the <strong>Playground</strong> chat interface prints only the <code>Message</code> attributes that are relevant to the conversation, such as <code>text</code>, <code>files</code>, and error messages from <code>content_blocks</code>.
|
||
To see all <code>Message</code> attributes, inspect the message logs in the <strong>Playground</strong>.</p>
|
||
<p>In flows with <a href="/components-io#text-io"><strong>Text Input and Output</strong> components</a>, <code>Message</code> data is used to pass simple text strings without the chat-related metadata.
|
||
These components handle <code>Message</code> data as independent text strings, not as part of an ongoing conversation.
|
||
For this reason, a flow with only <strong>Text Input and Output</strong> components isn't compatible with the <strong>Playground</strong>.
|
||
For more information, see <a href="/components-io">Input and output components</a>.</p>
|
||
<p>When using the Langflow API, the response includes the <code>Message</code> object along with other response data from the flow run.
|
||
Langflow API responses can be extremely verbose, so your applications must include code to extract relevant data from the response to return to the user.
|
||
For an example, see the <a href="/get-started-quickstart">Langflow quickstart</a>.</p>
|
||
<p>Additionally, input sent to the input port of input/output components does <em>not</em> need to be a complete <code>Message</code> object because the component constructs the <code>Message</code> object that is then passed to other components in the flow or returned as flow output.
|
||
In fact, some components shouldn't receive a complete <code>Message</code> object because some attributes, like <code>timestamp</code> should be added by the component for accuracy.</p>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="tool">Tool<a href="#tool" class="hash-link" aria-label="Direct link to Tool" title="Direct link to Tool"></a></h2>
|
||
<p><strong>Tool</strong> ports <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-circle" aria-label="Cyan tool port" style="color:#06b6d4;fill:#06b6d4"><circle cx="12" cy="12" r="10"></circle></svg> connect tools to an <strong>Agent</strong> component.</p>
|
||
<p>Tools can be other components where you enabled <strong>Tool Mode</strong>, they can be the dedicated <strong>MCP Tools</strong> component, or they can be other components that only support <strong>Tool Mode</strong>.
|
||
Multiple tools can be connected to the same <strong>Agent</strong> component at the same port.</p>
|
||
<p>Functionally, <code>Tool</code> data is a LangChain <code>StructuredTool</code> object that can be used in agent flows.</p>
|
||
<p>For more information, see <a href="/agents-tools">Configure tools for agents</a> and <a href="/mcp-client">Use Langflow as an MCP client</a>.</p>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="unknown-or-multiple-types">Unknown or multiple types<a href="#unknown-or-multiple-types" class="hash-link" aria-label="Direct link to Unknown or multiple types" title="Direct link to Unknown or multiple types"></a></h2>
|
||
<p>If a port can accept or produce multiple data types, it is represented by the gray port icon <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-circle" aria-label="Gray unknown port" style="color:#9CA3AF;fill:#9CA3AF"><circle cx="12" cy="12" r="10"></circle></svg>.</p>
|
||
<p>Hover over the port to see the accepted or produced data types.</p>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="view-data-types-in-flows">View data types in flows<a href="#view-data-types-in-flows" class="hash-link" aria-label="Direct link to View data types in flows" title="Direct link to View data types in flows"></a></h2>
|
||
<p>In Langflow, you can use <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-text-search" aria-hidden="true"><path d="M21 6H3"></path><path d="M10 12H3"></path><path d="M10 18H3"></path><circle cx="17" cy="15" r="3"></circle><path d="m21 19-1.9-1.9"></path></svg> <strong>Inspect output</strong> to view the output of individual components.
|
||
This can help you learn about the different data type and debug problems with invalid or malformed inputs and output.</p>
|
||
<p>The following example shows how to inspect the output of a <a href="/components-processing#type-convert"><strong>Type Convert</strong> component</a>, which can convert data from one type to another:</p>
|
||
<ol>
|
||
<li>
|
||
<p>Create a flow, and then connect a <strong>Chat Input</strong> component to a <strong>Type Convert</strong> component.</p>
|
||
</li>
|
||
<li>
|
||
<p>In the <strong>Chat Input</strong> component, enter some text for the type converter to process.</p>
|
||
</li>
|
||
<li>
|
||
<p>On the <strong>Type Convert</strong> component, 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-play" aria-hidden="true"><polygon points="6 3 20 12 6 21 6 3"></polygon></svg> <strong>Run component</strong>, and then 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-text-search" aria-hidden="true"><path d="M21 6H3"></path><path d="M10 12H3"></path><path d="M10 18H3"></path><circle cx="17" cy="15" r="3"></circle><path d="m21 19-1.9-1.9"></path></svg> <strong>Inspect output</strong>.</p>
|
||
<p>The default output is <code>Message</code> data, which is the same as the input coming from the <strong>Chat Input</strong> component.
|
||
To see the <code>Message</code> data converted to <code>Data</code> or <code>DataFrame</code>, change the <strong>Output Type</strong> on the <strong>Type Convert</strong> component, and then rerun the component.</p>
|
||
<div class="tabs-container tabList__CuJ"><ul role="tablist" aria-orientation="horizontal" class="tabs"><li role="tab" tabindex="0" aria-selected="true" class="tabs__item tabItem_LNqP tabs__item--active">Message</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">Data</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">DataFrame</li></ul><div class="margin-top--md"><div role="tabpanel" class="tabItem_Ymn6"><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>Input text</span></div></div><br></code></div></div></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><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">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span>{</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "timestamp": "2025-07-15 20:56:20 UTC",</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "sender": "User",</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "sender_name": "User",</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "session_id": "a0c7e888-4fd6-4242-b8c8-e761ad690aeb",</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "text": "",</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "files": [],</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "error": false,</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "edit": false,</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "properties": {</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "text_color": "",</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "background_color": "",</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "edited": false,</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "source": {</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "id": null,</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "display_name": null,</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "source": null</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> },</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "icon": "",</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "allow_markdown": false,</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "positive_feedback": null,</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "state": "complete",</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "targets": []</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> },</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "category": "message",</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "content_blocks": [],</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "id": "9da72da2-efbb-4ccd-90ad-b32429b0418e",</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "flow_id": "a0c7e888-4fd6-4242-b8c8-e761ad690aeb",</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span> "duration": null</span></div></div><div><span class="ch-code-line-number">_<!-- -->30</span><div style="display:inline-block;margin-left:16px"><span>}</span></div></div><br></code></div></div></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><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">_<!-- -->16</span><div style="display:inline-block;margin-left:16px"><span>| Field | Value |</span></div></div><div><span class="ch-code-line-number">_<!-- -->16</span><div style="display:inline-block;margin-left:16px"><span>|-------|-------|</span></div></div><div><span class="ch-code-line-number">_<!-- -->16</span><div style="display:inline-block;margin-left:16px"><span>| timestamp | 2025-07-15 20:56:11 UTC |</span></div></div><div><span class="ch-code-line-number">_<!-- -->16</span><div style="display:inline-block;margin-left:16px"><span>| sender | User |</span></div></div><div><span class="ch-code-line-number">_<!-- -->16</span><div style="display:inline-block;margin-left:16px"><span>| sender_name | User |</span></div></div><div><span class="ch-code-line-number">_<!-- -->16</span><div style="display:inline-block;margin-left:16px"><span>| session_id | a0c7e888-4fd6-4242-b8c8-e761ad690aeb |</span></div></div><div><span class="ch-code-line-number">_<!-- -->16</span><div style="display:inline-block;margin-left:16px"><span>| text | (empty) |</span></div></div><div><span class="ch-code-line-number">_<!-- -->16</span><div style="display:inline-block;margin-left:16px"><span>| files | [] |</span></div></div><div><span class="ch-code-line-number">_<!-- -->16</span><div style="display:inline-block;margin-left:16px"><span>| error | False |</span></div></div><div><span class="ch-code-line-number">_<!-- -->16</span><div style="display:inline-block;margin-left:16px"><span>| edit | False |</span></div></div><div><span class="ch-code-line-number">_<!-- -->16</span><div style="display:inline-block;margin-left:16px"><span>| properties | text_color: '', background_color: '', edited: False, source: {id: None, display_name: None, source: None}, icon: '', allow_markdown: False, positive_feedback: None, state: 'complete', targets: [] |</span></div></div><div><span class="ch-code-line-number">_<!-- -->16</span><div style="display:inline-block;margin-left:16px"><span>| category | message |</span></div></div><div><span class="ch-code-line-number">_<!-- -->16</span><div style="display:inline-block;margin-left:16px"><span>| content_blocks | [] |</span></div></div><div><span class="ch-code-line-number">_<!-- -->16</span><div style="display:inline-block;margin-left:16px"><span>| id | 341686eb-7a39-4b80-a90a-d8bf267815ef |</span></div></div><div><span class="ch-code-line-number">_<!-- -->16</span><div style="display:inline-block;margin-left:16px"><span>| flow_id | a0c7e888-4fd6-4242-b8c8-e761ad690aeb |</span></div></div><div><span class="ch-code-line-number">_<!-- -->16</span><div style="display:inline-block;margin-left:16px"><span>| duration | (empty) |</span></div></div><br></code></div></div></div></div></div>
|
||
</li>
|
||
</ol>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" 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"></a></h2>
|
||
<ul>
|
||
<li><a href="/components-processing">Processing components</a></li>
|
||
<li><a href="/components-custom-components">Custom components</a></li>
|
||
<li><a href="https://docs.pydantic.dev/latest/api/base_model/" target="_blank" rel="noopener noreferrer">Pydantic Models</a></li>
|
||
<li><a href="https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html" target="_blank" rel="noopener noreferrer">pandas.DataFrame</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="/contributing-telemetry"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Telemetry</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/concepts-voice-mode"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Use voice mode</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="#data" class="table-of-contents__link toc-highlight">Data</a><ul><li><a href="#schema-and-attributes" class="table-of-contents__link toc-highlight">Schema and attributes</a></li></ul></li><li><a href="#dataframe" class="table-of-contents__link toc-highlight">DataFrame</a><ul><li><a href="#schema-and-attributes-1" class="table-of-contents__link toc-highlight">Schema and attributes</a></li><li><a href="#dataframe-structure" class="table-of-contents__link toc-highlight">DataFrame structure</a></li></ul></li><li><a href="#embeddings" class="table-of-contents__link toc-highlight">Embeddings</a></li><li><a href="#languagemodel" class="table-of-contents__link toc-highlight">LanguageModel</a></li><li><a href="#memory" class="table-of-contents__link toc-highlight">Memory</a></li><li><a href="#message" class="table-of-contents__link toc-highlight">Message</a><ul><li><a href="#schema-structure-and-attributes" class="table-of-contents__link toc-highlight">Schema, structure, and attributes</a></li><li><a href="#message-data-in-input-and-output-components" class="table-of-contents__link toc-highlight">Message data in Input and Output components</a></li></ul></li><li><a href="#tool" class="table-of-contents__link toc-highlight">Tool</a></li><li><a href="#unknown-or-multiple-types" class="table-of-contents__link toc-highlight">Unknown or multiple types</a></li><li><a href="#view-data-types-in-flows" class="table-of-contents__link toc-highlight">View data types in flows</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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