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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</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">Models</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>Model components in Langflow</h1></header>
<p>Model components generate text using large language models.</p>
<p>Refer to your specific component&#x27;s documentation for more information on parameters.</p>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="use-a-model-component-in-a-flow">Use a model component in a flow<a href="#use-a-model-component-in-a-flow" class="hash-link" aria-label="Direct link to Use a model component in a flow" title="Direct link to Use a model component in a flow">​</a></h2>
<p>Model components receive inputs and prompts for generating text, and the generated text is sent to an output component.</p>
<p>The model output can also be sent to the <strong>Language Model</strong> port and on to a <strong>Parse Data</strong> component, where the output can be parsed into structured <a href="/concepts-objects">Data</a> objects.</p>
<p>This example has the OpenAI model in a chatbot flow. For more information, see the <a href="/starter-projects-basic-prompting">Basic prompting flow</a>.</p>
<p><img decoding="async" loading="lazy" src="/assets/images/starter-flow-basic-prompting-09331815d7282bd6a3feedf84838ba20.png" width="2500" height="1528" class="img_ev3q"></p>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="aiml-api">AI/ML API<a href="#aiml-api" class="hash-link" aria-label="Direct link to AI/ML API" title="Direct link to AI/ML API">​</a></h2>
<p>This component creates a ChatOpenAI model instance using the AIML API.</p>
<p>For more information, see <a href="https://docs.aimlapi.com/" target="_blank" rel="noopener noreferrer">AIML documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs">Inputs<a href="#inputs" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>max_tokens</td><td>Integer</td><td>The maximum number of tokens to generate. Set to 0 for unlimited tokens. Range: 0-128000.</td></tr><tr><td>model_kwargs</td><td>Dictionary</td><td>Additional keyword arguments for the model.</td></tr><tr><td>model_name</td><td>String</td><td>The name of the AIML model to use. Options are predefined in <code>AIML_CHAT_MODELS</code>.</td></tr><tr><td>aiml_api_base</td><td>String</td><td>The base URL of the AIML API. Defaults to <code>https://api.aimlapi.com</code>.</td></tr><tr><td>api_key</td><td>SecretString</td><td>The AIML API Key to use for the model.</td></tr><tr><td>temperature</td><td>Float</td><td>Controls randomness in the output. Default: <code>0.1</code>.</td></tr><tr><td>seed</td><td>Integer</td><td>Controls reproducibility of the job.</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs">Outputs<a href="#outputs" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of ChatOpenAI configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="amazon-bedrock">Amazon Bedrock<a href="#amazon-bedrock" class="hash-link" aria-label="Direct link to Amazon Bedrock" title="Direct link to Amazon Bedrock">​</a></h2>
<p>This component generates text using Amazon Bedrock LLMs.</p>
<p>For more information, see <a href="https://docs.aws.amazon.com/bedrock" target="_blank" rel="noopener noreferrer">Amazon Bedrock documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-1">Inputs<a href="#inputs-1" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model_id</td><td>String</td><td>The ID of the Amazon Bedrock model to use. Options include various models.</td></tr><tr><td>aws_access_key</td><td>SecretString</td><td>AWS Access Key for authentication.</td></tr><tr><td>aws_secret_key</td><td>SecretString</td><td>AWS Secret Key for authentication.</td></tr><tr><td>credentials_profile_name</td><td>String</td><td>Name of the AWS credentials profile to use (advanced).</td></tr><tr><td>region_name</td><td>String</td><td>AWS region name. Default: <code>us-east-1</code>.</td></tr><tr><td>model_kwargs</td><td>Dictionary</td><td>Additional keyword arguments for the model (advanced).</td></tr><tr><td>endpoint_url</td><td>String</td><td>Custom endpoint URL for the Bedrock service (advanced).</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-1">Outputs<a href="#outputs-1" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of ChatBedrock configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="anthropic">Anthropic<a href="#anthropic" class="hash-link" aria-label="Direct link to Anthropic" title="Direct link to Anthropic">​</a></h2>
<p>This component allows the generation of text using Anthropic Chat and Language models.</p>
<p>For more information, see the <a href="https://docs.anthropic.com/en/docs/welcome" target="_blank" rel="noopener noreferrer">Anthropic documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-2">Inputs<a href="#inputs-2" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>max_tokens</td><td>Integer</td><td>The maximum number of tokens to generate. Set to 0 for unlimited tokens. Default: <code>4096</code>.</td></tr><tr><td>model</td><td>String</td><td>The name of the Anthropic model to use. Options include various Claude 3 models.</td></tr><tr><td>anthropic_api_key</td><td>SecretString</td><td>Your Anthropic API key for authentication.</td></tr><tr><td>temperature</td><td>Float</td><td>Controls randomness in the output. Default: <code>0.1</code>.</td></tr><tr><td>anthropic_api_url</td><td>String</td><td>Endpoint of the Anthropic API. Defaults to <code>https://api.anthropic.com</code> if not specified (advanced).</td></tr><tr><td>prefill</td><td>String</td><td>Prefill text to guide the model&#x27;s response (advanced).</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-2">Outputs<a href="#outputs-2" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of ChatAnthropic configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="azure-openai">Azure OpenAI<a href="#azure-openai" class="hash-link" aria-label="Direct link to Azure OpenAI" title="Direct link to Azure OpenAI">​</a></h2>
<p>This component generates text using Azure OpenAI LLM.</p>
<p>For more information, see the <a href="https://learn.microsoft.com/en-us/azure/ai-services/openai/" target="_blank" rel="noopener noreferrer">Azure OpenAI documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-3">Inputs<a href="#inputs-3" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Display Name</th><th>Info</th></tr></thead><tbody><tr><td>Model Name</td><td>Model Name</td><td>Specifies the name of the Azure OpenAI model to be used for text generation.</td></tr><tr><td>Azure Endpoint</td><td>Azure Endpoint</td><td>Your Azure endpoint, including the resource.</td></tr><tr><td>Deployment Name</td><td>Deployment Name</td><td>Specifies the name of the deployment.</td></tr><tr><td>API Version</td><td>API Version</td><td>Specifies the version of the Azure OpenAI API to be used.</td></tr><tr><td>API Key</td><td>API Key</td><td>Your Azure OpenAI API key.</td></tr><tr><td>Temperature</td><td>Temperature</td><td>Specifies the sampling temperature. Defaults to <code>0.7</code>.</td></tr><tr><td>Max Tokens</td><td>Max Tokens</td><td>Specifies the maximum number of tokens to generate. Defaults to <code>1000</code>.</td></tr><tr><td>Input Value</td><td>Input Value</td><td>Specifies the input text for text generation.</td></tr><tr><td>Stream</td><td>Stream</td><td>Specifies whether to stream the response from the model. Defaults to <code>False</code>.</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-3">Outputs<a href="#outputs-3" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of AzureOpenAI configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="cohere">Cohere<a href="#cohere" class="hash-link" aria-label="Direct link to Cohere" title="Direct link to Cohere">​</a></h2>
<p>This component generates text using Cohere&#x27;s language models.</p>
<p>For more information, see the <a href="https://cohere.ai/" target="_blank" rel="noopener noreferrer">Cohere documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-4">Inputs<a href="#inputs-4" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Display Name</th><th>Info</th></tr></thead><tbody><tr><td>Cohere API Key</td><td>Cohere API Key</td><td>Your Cohere API key.</td></tr><tr><td>Max Tokens</td><td>Max Tokens</td><td>Specifies the maximum number of tokens to generate. Defaults to <code>256</code>.</td></tr><tr><td>Temperature</td><td>Temperature</td><td>Specifies the sampling temperature. Defaults to <code>0.75</code>.</td></tr><tr><td>Input Value</td><td>Input Value</td><td>Specifies the input text for text generation.</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-4">Outputs<a href="#outputs-4" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of the Cohere model configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="deepseek">DeepSeek<a href="#deepseek" class="hash-link" aria-label="Direct link to DeepSeek" title="Direct link to DeepSeek">​</a></h2>
<p>This component generates text using DeepSeek&#x27;s language models.</p>
<p>For more information, see the <a href="https://api-docs.deepseek.com/" target="_blank" rel="noopener noreferrer">DeepSeek documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-5">Inputs<a href="#inputs-5" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>max_tokens</td><td>Integer</td><td>Maximum number of tokens to generate. Set to <code>0</code> for unlimited. Range: <code>0-128000</code>.</td></tr><tr><td>model_kwargs</td><td>Dictionary</td><td>Additional keyword arguments for the model.</td></tr><tr><td>json_mode</td><td>Boolean</td><td>If <code>True</code>, outputs JSON regardless of passing a schema.</td></tr><tr><td>model_name</td><td>String</td><td>The DeepSeek model to use. Default: <code>deepseek-chat</code>.</td></tr><tr><td>api_base</td><td>String</td><td>Base URL for API requests. Default: <code>https://api.deepseek.com</code>.</td></tr><tr><td>api_key</td><td>SecretString</td><td>Your DeepSeek API key for authentication.</td></tr><tr><td>temperature</td><td>Float</td><td>Controls randomness in responses. Range: <code>[0.0, 2.0]</code>. Default: <code>1.0</code>.</td></tr><tr><td>seed</td><td>Integer</td><td>Number initialized for random number generation. Use the same seed integer for more reproducible results, and use a different seed number for more random results.</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-5">Outputs<a href="#outputs-5" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of ChatOpenAI configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="google-generative-ai">Google Generative AI<a href="#google-generative-ai" class="hash-link" aria-label="Direct link to Google Generative AI" title="Direct link to Google Generative AI">​</a></h2>
<p>This component generates text using Google&#x27;s Generative AI models.</p>
<p>For more information, see the <a href="https://cloud.google.com/vertex-ai/docs/" target="_blank" rel="noopener noreferrer">Google Generative AI documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-6">Inputs<a href="#inputs-6" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Display Name</th><th>Info</th></tr></thead><tbody><tr><td>Google API Key</td><td>Google API Key</td><td>Your Google API key to use for the Google Generative AI.</td></tr><tr><td>Model</td><td>Model</td><td>The name of the model to use, such as <code>&quot;gemini-pro&quot;</code>.</td></tr><tr><td>Max Output Tokens</td><td>Max Output Tokens</td><td>The maximum number of tokens to generate.</td></tr><tr><td>Temperature</td><td>Temperature</td><td>Run inference with this temperature.</td></tr><tr><td>Top K</td><td>Top K</td><td>Consider the set of top K most probable tokens.</td></tr><tr><td>Top P</td><td>Top P</td><td>The maximum cumulative probability of tokens to consider when sampling.</td></tr><tr><td>N</td><td>N</td><td>Number of chat completions to generate for each prompt.</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-6">Outputs<a href="#outputs-6" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of ChatGoogleGenerativeAI configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="groq">Groq<a href="#groq" class="hash-link" aria-label="Direct link to Groq" title="Direct link to Groq">​</a></h2>
<p>This component generates text using Groq&#x27;s language models.</p>
<p>For more information, see the <a href="https://groq.com/" target="_blank" rel="noopener noreferrer">Groq documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-7">Inputs<a href="#inputs-7" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>groq_api_key</td><td>SecretString</td><td>API key for the Groq API.</td></tr><tr><td>groq_api_base</td><td>String</td><td>Base URL path for API requests. Default: <code>https://api.groq.com</code> (advanced).</td></tr><tr><td>max_tokens</td><td>Integer</td><td>The maximum number of tokens to generate (advanced).</td></tr><tr><td>temperature</td><td>Float</td><td>Controls randomness in the output. Range: <code>[0.0, 1.0]</code>. Default: <code>0.1</code>.</td></tr><tr><td>n</td><td>Integer</td><td>Number of chat completions to generate for each prompt (advanced).</td></tr><tr><td>model_name</td><td>String</td><td>The name of the Groq model to use. Options are dynamically fetched from the Groq API.</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-7">Outputs<a href="#outputs-7" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of ChatGroq configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="hugging-face-api">Hugging Face API<a href="#hugging-face-api" class="hash-link" aria-label="Direct link to Hugging Face API" title="Direct link to Hugging Face API">​</a></h2>
<p>This component sends requests to the Hugging Face API to generate text using the model specified in the <strong>Model ID</strong> field.</p>
<p>The Hugging Face API is a hosted inference API for models hosted on Hugging Face, and requires a <a href="https://huggingface.co/docs/hub/security-tokens" target="_blank" rel="noopener noreferrer">Hugging Face API token</a> to authenticate.</p>
<p>In this example based on the <a href="/starter-projects-basic-prompting">Basic prompting flow</a>, the <strong>Hugging Face API</strong> model component replaces the <strong>Open AI</strong> model. By selecting different hosted models, you can see how different models return different results.</p>
<ol>
<li>
<p>Create a <a href="/starter-projects-basic-prompting">Basic prompting flow</a>.</p>
</li>
<li>
<p>Replace the <strong>OpenAI</strong> model component with a <strong>Hugging Face API</strong> model component.</p>
</li>
<li>
<p>In the <strong>Hugging Face API</strong> component, add your Hugging Face API token to the <strong>API Token</strong> field.</p>
</li>
<li>
<p>Open the <strong>Playground</strong> and ask a question to the model, and see how it responds.</p>
</li>
<li>
<p>Try different models, and see how they perform differently.</p>
</li>
</ol>
<p>For more information, see the <a href="https://huggingface.co/" target="_blank" rel="noopener noreferrer">Hugging Face documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-8">Inputs<a href="#inputs-8" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model_id</td><td>String</td><td>The model ID from Hugging Face Hub. For example, &quot;gpt2&quot;, &quot;facebook/bart-large&quot;.</td></tr><tr><td>huggingfacehub_api_token</td><td>SecretString</td><td>Your Hugging Face API token for authentication.</td></tr><tr><td>temperature</td><td>Float</td><td>Controls randomness in the output. Range: [0.0, 1.0]. Default: 0.7.</td></tr><tr><td>max_new_tokens</td><td>Integer</td><td>Maximum number of tokens to generate. Default: 512.</td></tr><tr><td>top_p</td><td>Float</td><td>Nucleus sampling parameter. Range: [0.0, 1.0]. Default: 0.95.</td></tr><tr><td>top_k</td><td>Integer</td><td>Top-k sampling parameter. Default: 50.</td></tr><tr><td>model_kwargs</td><td>Dictionary</td><td>Additional keyword arguments to pass to the model.</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-8">Outputs<a href="#outputs-8" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of HuggingFaceHub configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="lmstudio">LMStudio<a href="#lmstudio" class="hash-link" aria-label="Direct link to LMStudio" title="Direct link to LMStudio">​</a></h2>
<p>This component generates text using LM Studio&#x27;s local language models.</p>
<p>For more information, see <a href="https://lmstudio.ai/" target="_blank" rel="noopener noreferrer">LM Studio documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-9">Inputs<a href="#inputs-9" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>base_url</td><td>String</td><td>The URL where LM Studio is running. Default: <code>&quot;http://localhost:1234&quot;</code>.</td></tr><tr><td>max_tokens</td><td>Integer</td><td>Maximum number of tokens to generate in the response. Default: <code>512</code>.</td></tr><tr><td>temperature</td><td>Float</td><td>Controls randomness in the output. Range: <code>[0.0, 2.0]</code>. Default: <code>0.7</code>.</td></tr><tr><td>top_p</td><td>Float</td><td>Controls diversity via nucleus sampling. Range: <code>[0.0, 1.0]</code>. Default: <code>1.0</code>.</td></tr><tr><td>stop</td><td>List[String]</td><td>List of strings that will stop generation when encountered (advanced).</td></tr><tr><td>stream</td><td>Boolean</td><td>Whether to stream the response. Default: <code>False</code>.</td></tr><tr><td>presence_penalty</td><td>Float</td><td>Penalizes repeated tokens. Range: <code>[-2.0, 2.0]</code>. Default: <code>0.0</code>.</td></tr><tr><td>frequency_penalty</td><td>Float</td><td>Penalizes frequent tokens. Range: <code>[-2.0, 2.0]</code>. Default: <code>0.0</code>.</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-9">Outputs<a href="#outputs-9" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of LMStudio configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="maritalk">Maritalk<a href="#maritalk" class="hash-link" aria-label="Direct link to Maritalk" title="Direct link to Maritalk">​</a></h2>
<p>This component generates text using Maritalk LLMs.</p>
<p>For more information, see <a href="https://www.maritalk.com/" target="_blank" rel="noopener noreferrer">Maritalk documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-10">Inputs<a href="#inputs-10" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>max_tokens</td><td>Integer</td><td>The maximum number of tokens to generate. Set to <code>0</code> for unlimited tokens. Default: <code>512</code>.</td></tr><tr><td>model_name</td><td>String</td><td>The name of the Maritalk model to use. Options: <code>sabia-2-small</code>, <code>sabia-2-medium</code>. Default: <code>sabia-2-small</code>.</td></tr><tr><td>api_key</td><td>SecretString</td><td>The Maritalk API Key to use for authentication.</td></tr><tr><td>temperature</td><td>Float</td><td>Controls randomness in the output. Range: <code>[0.0, 1.0]</code>. Default: <code>0.5</code>.</td></tr><tr><td>endpoint_url</td><td>String</td><td>The Maritalk API endpoint. Default: <code>https://api.maritalk.com</code>.</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-10">Outputs<a href="#outputs-10" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of ChatMaritalk configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="mistral">Mistral<a href="#mistral" class="hash-link" aria-label="Direct link to Mistral" title="Direct link to Mistral">​</a></h2>
<p>This component generates text using MistralAI LLMs.</p>
<p>For more information, see <a href="https://docs.mistral.ai/" target="_blank" rel="noopener noreferrer">Mistral AI documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-11">Inputs<a href="#inputs-11" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>max_tokens</td><td>Integer</td><td>The maximum number of tokens to generate. Set to 0 for unlimited tokens (advanced).</td></tr><tr><td>model_name</td><td>String</td><td>The name of the Mistral AI model to use. Options include <code>open-mixtral-8x7b</code>, <code>open-mixtral-8x22b</code>, <code>mistral-small-latest</code>, <code>mistral-medium-latest</code>, <code>mistral-large-latest</code>, and <code>codestral-latest</code>. Default: <code>codestral-latest</code>.</td></tr><tr><td>mistral_api_base</td><td>String</td><td>The base URL of the Mistral API. Defaults to <code>https://api.mistral.ai/v1</code> (advanced).</td></tr><tr><td>api_key</td><td>SecretString</td><td>The Mistral API Key to use for authentication.</td></tr><tr><td>temperature</td><td>Float</td><td>Controls randomness in the output. Default: 0.5.</td></tr><tr><td>max_retries</td><td>Integer</td><td>Maximum number of retries for API calls. Default: 5 (advanced).</td></tr><tr><td>timeout</td><td>Integer</td><td>Timeout for API calls in seconds. Default: 60 (advanced).</td></tr><tr><td>max_concurrent_requests</td><td>Integer</td><td>Maximum number of concurrent API requests. Default: 3 (advanced).</td></tr><tr><td>top_p</td><td>Float</td><td>Nucleus sampling parameter. Default: 1 (advanced).</td></tr><tr><td>random_seed</td><td>Integer</td><td>Seed for random number generation. Default: 1 (advanced).</td></tr><tr><td>safe_mode</td><td>Boolean</td><td>Enables safe mode for content generation (advanced).</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-11">Outputs<a href="#outputs-11" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of ChatMistralAI configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="novita-ai">Novita AI<a href="#novita-ai" class="hash-link" aria-label="Direct link to Novita AI" title="Direct link to Novita AI">​</a></h2>
<p>This component generates text using Novita AI&#x27;s language models.</p>
<p>For more information, see <a href="https://novita.ai/docs/model-api/reference/llm/llm.html?utm_source=github_langflow&amp;utm_medium=github_readme&amp;utm_campaign=link" target="_blank" rel="noopener noreferrer">Novita AI documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-12">Inputs<a href="#inputs-12" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>api_key</td><td>SecretString</td><td>Your Novita AI API Key.</td></tr><tr><td>model</td><td>String</td><td>The id of the Novita AI model to use.</td></tr><tr><td>max_tokens</td><td>Integer</td><td>The maximum number of tokens to generate. Set to 0 for unlimited tokens.</td></tr><tr><td>temperature</td><td>Float</td><td>Controls randomness in the output. Range: [0.0, 1.0]. Default: 0.7.</td></tr><tr><td>top_p</td><td>Float</td><td>Controls the nucleus sampling. Range: [0.0, 1.0]. Default: 1.0.</td></tr><tr><td>frequency_penalty</td><td>Float</td><td>Controls the frequency penalty. Range: [0.0, 2.0]. Default: 0.0.</td></tr><tr><td>presence_penalty</td><td>Float</td><td>Controls the presence penalty. Range: [0.0, 2.0]. Default: 0.0.</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-12">Outputs<a href="#outputs-12" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of Novita AI model configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="nvidia">NVIDIA<a href="#nvidia" class="hash-link" aria-label="Direct link to NVIDIA" title="Direct link to NVIDIA">​</a></h2>
<p>This component generates text using NVIDIA LLMs.</p>
<p>For more information, see <a href="https://developer.nvidia.com/generative-ai" target="_blank" rel="noopener noreferrer">NVIDIA AI documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-13">Inputs<a href="#inputs-13" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>max_tokens</td><td>Integer</td><td>The maximum number of tokens to generate. Set to <code>0</code> for unlimited tokens (advanced).</td></tr><tr><td>model_name</td><td>String</td><td>The name of the NVIDIA model to use. Default: <code>mistralai/mixtral-8x7b-instruct-v0.1</code>.</td></tr><tr><td>base_url</td><td>String</td><td>The base URL of the NVIDIA API. Default: <code>https://integrate.api.nvidia.com/v1</code>.</td></tr><tr><td>nvidia_api_key</td><td>SecretString</td><td>The NVIDIA API Key for authentication.</td></tr><tr><td>temperature</td><td>Float</td><td>Controls randomness in the output. Default: <code>0.1</code>.</td></tr><tr><td>seed</td><td>Integer</td><td>The seed controls the reproducibility of the job (advanced). Default: <code>1</code>.</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-13">Outputs<a href="#outputs-13" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of ChatNVIDIA configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="ollama">Ollama<a href="#ollama" class="hash-link" aria-label="Direct link to Ollama" title="Direct link to Ollama">​</a></h2>
<p>This component generates text using Ollama&#x27;s language models.</p>
<p>For more information, see <a href="https://ollama.com/" target="_blank" rel="noopener noreferrer">Ollama documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-14">Inputs<a href="#inputs-14" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Display Name</th><th>Info</th></tr></thead><tbody><tr><td>Base URL</td><td>Base URL</td><td>Endpoint of the Ollama API.</td></tr><tr><td>Model Name</td><td>Model Name</td><td>The model name to use.</td></tr><tr><td>Temperature</td><td>Temperature</td><td>Controls the creativity of model responses.</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-14">Outputs<a href="#outputs-14" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of an Ollama model configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="openai">OpenAI<a href="#openai" class="hash-link" aria-label="Direct link to OpenAI" title="Direct link to OpenAI">​</a></h2>
<p>This component generates text using OpenAI&#x27;s language models.</p>
<p>For more information, see <a href="https://beta.openai.com/docs/" target="_blank" rel="noopener noreferrer">OpenAI documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-15">Inputs<a href="#inputs-15" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>api_key</td><td>SecretString</td><td>Your OpenAI API Key.</td></tr><tr><td>model</td><td>String</td><td>The name of the OpenAI model to use. Options include &quot;gpt-3.5-turbo&quot; and &quot;gpt-4&quot;.</td></tr><tr><td>max_tokens</td><td>Integer</td><td>The maximum number of tokens to generate. Set to 0 for unlimited tokens.</td></tr><tr><td>temperature</td><td>Float</td><td>Controls randomness in the output. Range: [0.0, 1.0]. Default: 0.7.</td></tr><tr><td>top_p</td><td>Float</td><td>Controls the nucleus sampling. Range: [0.0, 1.0]. Default: 1.0.</td></tr><tr><td>frequency_penalty</td><td>Float</td><td>Controls the frequency penalty. Range: [0.0, 2.0]. Default: 0.0.</td></tr><tr><td>presence_penalty</td><td>Float</td><td>Controls the presence penalty. Range: [0.0, 2.0]. Default: 0.0.</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-15">Outputs<a href="#outputs-15" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of OpenAI model configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="openrouter">OpenRouter<a href="#openrouter" class="hash-link" aria-label="Direct link to OpenRouter" title="Direct link to OpenRouter">​</a></h2>
<p>This component generates text using OpenRouter&#x27;s unified API for multiple AI models from different providers.</p>
<p>For more information, see <a href="https://openrouter.ai/docs" target="_blank" rel="noopener noreferrer">OpenRouter documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-16">Inputs<a href="#inputs-16" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>api_key</td><td>SecretString</td><td>Your OpenRouter API key for authentication.</td></tr><tr><td>site_url</td><td>String</td><td>Your site URL for OpenRouter rankings (advanced).</td></tr><tr><td>app_name</td><td>String</td><td>Your app name for OpenRouter rankings (advanced).</td></tr><tr><td>provider</td><td>String</td><td>The AI model provider to use.</td></tr><tr><td>model_name</td><td>String</td><td>The specific model to use for chat completion.</td></tr><tr><td>temperature</td><td>Float</td><td>Controls randomness in the output. Range: [0.0, 2.0]. Default: 0.7.</td></tr><tr><td>max_tokens</td><td>Integer</td><td>The maximum number of tokens to generate (advanced).</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-16">Outputs<a href="#outputs-16" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of ChatOpenAI configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="perplexity">Perplexity<a href="#perplexity" class="hash-link" aria-label="Direct link to Perplexity" title="Direct link to Perplexity">​</a></h2>
<p>This component generates text using Perplexity&#x27;s language models.</p>
<p>For more information, see <a href="https://perplexity.ai/" target="_blank" rel="noopener noreferrer">Perplexity documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-17">Inputs<a href="#inputs-17" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model_name</td><td>String</td><td>The name of the Perplexity model to use. Options include various Llama 3.1 models.</td></tr><tr><td>max_output_tokens</td><td>Integer</td><td>The maximum number of tokens to generate.</td></tr><tr><td>api_key</td><td>SecretString</td><td>The Perplexity API Key for authentication.</td></tr><tr><td>temperature</td><td>Float</td><td>Controls randomness in the output. Default: 0.75.</td></tr><tr><td>top_p</td><td>Float</td><td>The maximum cumulative probability of tokens to consider when sampling (advanced).</td></tr><tr><td>n</td><td>Integer</td><td>Number of chat completions to generate for each prompt (advanced).</td></tr><tr><td>top_k</td><td>Integer</td><td>Number of top tokens to consider for top-k sampling. Must be positive (advanced).</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-17">Outputs<a href="#outputs-17" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of ChatPerplexity configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="qianfan">Qianfan<a href="#qianfan" class="hash-link" aria-label="Direct link to Qianfan" title="Direct link to Qianfan">​</a></h2>
<p>This component generates text using Qianfan&#x27;s language models.</p>
<p>For more information, see <a href="https://github.com/baidubce/bce-qianfan-sdk" target="_blank" rel="noopener noreferrer">Qianfan documentation</a>.</p>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="sambanova">SambaNova<a href="#sambanova" class="hash-link" aria-label="Direct link to SambaNova" title="Direct link to SambaNova">​</a></h2>
<p>This component generates text using SambaNova LLMs.</p>
<p>For more information, see <a href="https://cloud.sambanova.ai/" target="_blank" rel="noopener noreferrer">Sambanova Cloud documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-18">Inputs<a href="#inputs-18" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>sambanova_url</td><td>String</td><td>Base URL path for API requests. Default: <code>https://api.sambanova.ai/v1/chat/completions</code>.</td></tr><tr><td>sambanova_api_key</td><td>SecretString</td><td>Your SambaNova API Key.</td></tr><tr><td>model_name</td><td>String</td><td>The name of the Sambanova model to use. Options include various Llama models.</td></tr><tr><td>max_tokens</td><td>Integer</td><td>The maximum number of tokens to generate. Set to 0 for unlimited tokens.</td></tr><tr><td>temperature</td><td>Float</td><td>Controls randomness in the output. Range: [0.0, 1.0]. Default: 0.07.</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-18">Outputs<a href="#outputs-18" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of SambaNova model configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="vertexai">VertexAI<a href="#vertexai" class="hash-link" aria-label="Direct link to VertexAI" title="Direct link to VertexAI">​</a></h2>
<p>This component generates text using Vertex AI LLMs.</p>
<p>For more information, see <a href="https://cloud.google.com/vertex-ai" target="_blank" rel="noopener noreferrer">Google Vertex AI documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-19">Inputs<a href="#inputs-19" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>credentials</td><td>File</td><td>JSON credentials file. Leave empty to fallback to environment variables. File type: JSON.</td></tr><tr><td>model_name</td><td>String</td><td>The name of the Vertex AI model to use. Default: &quot;gemini-1.5-pro&quot;.</td></tr><tr><td>project</td><td>String</td><td>The project ID (advanced).</td></tr><tr><td>location</td><td>String</td><td>The location for the Vertex AI API. Default: &quot;us-central1&quot; (advanced).</td></tr><tr><td>max_output_tokens</td><td>Integer</td><td>The maximum number of tokens to generate (advanced).</td></tr><tr><td>max_retries</td><td>Integer</td><td>Maximum number of retries for API calls. Default: 1 (advanced).</td></tr><tr><td>temperature</td><td>Float</td><td>Controls randomness in the output. Default: 0.0.</td></tr><tr><td>top_k</td><td>Integer</td><td>The number of highest probability vocabulary tokens to keep for top-k-filtering (advanced).</td></tr><tr><td>top_p</td><td>Float</td><td>The cumulative probability of parameter highest probability vocabulary tokens to keep for nucleus sampling. Default: 0.95 (advanced).</td></tr><tr><td>verbose</td><td>Boolean</td><td>Whether to print verbose output. Default: False (advanced).</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-19">Outputs<a href="#outputs-19" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of ChatVertexAI configured with the specified parameters.</td></tr></tbody></table>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="xai">xAI<a href="#xai" class="hash-link" aria-label="Direct link to xAI" title="Direct link to xAI">​</a></h2>
<p>This component generates text using xAI models like <a href="https://x.ai/grok" target="_blank" rel="noopener noreferrer">Grok</a>.</p>
<p>For more information, see the <a href="https://x.ai/" target="_blank" rel="noopener noreferrer">xAI documentation</a>.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs-20">Inputs<a href="#inputs-20" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>max_tokens</td><td>Integer</td><td>Maximum number of tokens to generate. Set to <code>0</code> for unlimited. Range: <code>0-128000</code>.</td></tr><tr><td>model_kwargs</td><td>Dictionary</td><td>Additional keyword arguments for the model.</td></tr><tr><td>json_mode</td><td>Boolean</td><td>If <code>True</code>, outputs JSON regardless of passing a schema.</td></tr><tr><td>model_name</td><td>String</td><td>The xAI model to use. Default: <code>grok-2-latest</code>.</td></tr><tr><td>base_url</td><td>String</td><td>Base URL for API requests. Default: <code>https://api.x.ai/v1</code>.</td></tr><tr><td>api_key</td><td>SecretString</td><td>Your xAI API key for authentication.</td></tr><tr><td>temperature</td><td>Float</td><td>Controls randomness in the output. Range: <code>[0.0, 2.0]</code>. Default: <code>0.1</code>.</td></tr><tr><td>seed</td><td>Integer</td><td>Controls reproducibility of the job.</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs-20">Outputs<a href="#outputs-20" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs">​</a></h3>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>model</td><td>LanguageModel</td><td>An instance of ChatOpenAI configured with the specified parameters.</td></tr></tbody></table></div></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/components-memories"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Memories</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/components-processing"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Processing</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-a-model-component-in-a-flow" class="table-of-contents__link toc-highlight">Use a model component in a flow</a></li><li><a href="#aiml-api" class="table-of-contents__link toc-highlight">AI/ML API</a><ul><li><a href="#inputs" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#amazon-bedrock" class="table-of-contents__link toc-highlight">Amazon Bedrock</a><ul><li><a href="#inputs-1" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-1" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#anthropic" class="table-of-contents__link toc-highlight">Anthropic</a><ul><li><a href="#inputs-2" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-2" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#azure-openai" class="table-of-contents__link toc-highlight">Azure OpenAI</a><ul><li><a href="#inputs-3" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-3" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#cohere" class="table-of-contents__link toc-highlight">Cohere</a><ul><li><a href="#inputs-4" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-4" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#deepseek" class="table-of-contents__link toc-highlight">DeepSeek</a><ul><li><a href="#inputs-5" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-5" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#google-generative-ai" class="table-of-contents__link toc-highlight">Google Generative AI</a><ul><li><a href="#inputs-6" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-6" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#groq" class="table-of-contents__link toc-highlight">Groq</a><ul><li><a href="#inputs-7" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-7" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#hugging-face-api" class="table-of-contents__link toc-highlight">Hugging Face API</a><ul><li><a href="#inputs-8" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-8" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#lmstudio" class="table-of-contents__link toc-highlight">LMStudio</a><ul><li><a href="#inputs-9" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-9" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#maritalk" class="table-of-contents__link toc-highlight">Maritalk</a><ul><li><a href="#inputs-10" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-10" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#mistral" class="table-of-contents__link toc-highlight">Mistral</a><ul><li><a href="#inputs-11" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-11" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#novita-ai" class="table-of-contents__link toc-highlight">Novita AI</a><ul><li><a href="#inputs-12" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-12" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#nvidia" class="table-of-contents__link toc-highlight">NVIDIA</a><ul><li><a href="#inputs-13" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-13" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#ollama" class="table-of-contents__link toc-highlight">Ollama</a><ul><li><a href="#inputs-14" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-14" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#openai" class="table-of-contents__link toc-highlight">OpenAI</a><ul><li><a href="#inputs-15" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-15" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#openrouter" class="table-of-contents__link toc-highlight">OpenRouter</a><ul><li><a href="#inputs-16" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-16" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#perplexity" class="table-of-contents__link toc-highlight">Perplexity</a><ul><li><a href="#inputs-17" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-17" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#qianfan" class="table-of-contents__link toc-highlight">Qianfan</a></li><li><a href="#sambanova" class="table-of-contents__link toc-highlight">SambaNova</a><ul><li><a href="#inputs-18" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-18" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#vertexai" class="table-of-contents__link toc-highlight">VertexAI</a><ul><li><a href="#inputs-19" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-19" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li><li><a href="#xai" class="table-of-contents__link toc-highlight">xAI</a><ul><li><a href="#inputs-20" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs-20" class="table-of-contents__link toc-highlight">Outputs</a></li></ul></li></ul></div></div></div></div></main></div></div></div><div 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