langflow/docs/docs/Components/bundles-perplexity.mdx
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---
title: Perplexity
slug: /bundles-perplexity
---
import Icon from "@site/src/components/icon";
[Bundles](/components-bundle-components) contain custom components that support specific third-party integrations with Langflow.
This page describes the components that are available in the **Perplexity** bundle.
For more information about Perplexity features and functionality used by Perplexity components, see the [Perplexity documentation](https://perplexity.ai/).
## Perplexity text generation
This component generates text using Perplexity's language models.
It can output either a **Model Response** ([`Message`](/data-types#message)) or a **Language Model** ([`LanguageModel`](/data-types#languagemodel)).
Use the **Language Model** output when you want to use a Perplexity model as the LLM for another LLM-driven component, such as a **Language Model** or **Smart Function** component.
For more information, see [**Language Model** components](/components-models).
### Perplexity text generation parameters
Many **Perplexity** component input parameters are hidden by default in the visual editor.
You can toggle parameters through the <Icon name="SlidersHorizontal" aria-hidden="true"/> **Controls** in the [component's header menu](/concepts-components#component-menus).
| Name | Type | Description |
|------|------|-------------|
| model_name | String | Input parameter. The name of the Perplexity model to use. Options include various Llama 3.1 models. |
| max_output_tokens | Integer | Input parameter. The maximum number of tokens to generate. |
| api_key | SecretString | Input parameter. The Perplexity API Key for authentication. |
| temperature | Float | Input parameter. Controls randomness in the output. Default: 0.75. |
| top_p | Float | Input parameter. The maximum cumulative probability of tokens to consider when sampling (advanced). |
| n | Integer | Input parameter. Number of chat completions to generate for each prompt (advanced). |
| top_k | Integer | Input parameter. Number of top tokens to consider for top-k sampling. Must be positive (advanced). |