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langflow/docs/versioned_docs/version-1.10.0/Components/bundles-groq.mdx
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---
title: Groq
slug: /bundles-groq
---
import Icon from "@site/src/components/icon";
<Icon name="Blocks" aria-hidden="true" /> [**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 **Groq** bundle.
For more information, see the [Groq documentation](https://groq.com/).
## Groq text generation
This component generates text using Groq's language models.
It can output either a **Model Response** ([`Message`](/data-types#message)) or a **Language Model** ([`LanguageModel`](/data-types#languagemodel)).
Specifically, the **Language Model** output is an instance of [`ChatGroq`](https://docs.langchain.com/oss/python/integrations/chat/groq) configured according to the component's parameters.
Use the **Language Model** output when you want to use a Groq model as the LLM for another LLM-driven component, such as an **Agent** or **Smart Transform** component.
For more information, see [Language model components](/components-models).
![Groq component in a basic prompting flow](/img/component-groq.png)
### Groq text generation parameters
| Name | Type | Description |
|------|------|-------------|
| groq_api_key | SecretString | Your Groq API key. |
| groq_api_base | String | Base URL path for API requests. Default: `https://api.groq.com`. |
| max_tokens | Integer | The maximum number of tokens to generate. |
| temperature | Float | Controls randomness in the output. Range: `[0.0, 1.0]`. Default: `0.1`. |
| n | Integer | Number of chat completions to generate for each prompt. |
| model_name | String | The name of the Groq model to use. Options are dynamically fetched from the Groq API after entering your API key and URL. To refresh your list of models, click <Icon name="RefreshCw" aria-hidden="true"/> **Refresh**. |
| tool_mode_enabled | Boolean | If enabled, the component only displays models that work with tools. |