---
title: Anthropic
slug: /bundles-anthropic
---

import Icon from "@site/src/components/icon";
import PartialParams from '@site/docs/_partial-hidden-params.mdx';

<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 **Anthropic** bundle.

For more information about Anthropic features and functionality used by Anthropic components, see the [Anthropic documentation](https://docs.anthropic.com/en/docs/intro).

## Anthropic text generation

The **Anthropic** component generates text using Anthropic Chat and Language models like Claude.

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 [`ChatAnthropic`](https://docs.langchain.com/oss/python/integrations/chat/anthropic) configured according to the component's parameters.

Use the **Language Model** output when you want to use an Anthropic 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).

### Anthropic text generation parameters

<PartialParams />

| Name | Type | Description |
|------|------|-------------|
| max_tokens | Integer | Input parameter. The maximum number of tokens to generate. Set to 0 for unlimited tokens. Default: `4096`. |
| model | String | Input parameter. The name of the Anthropic model to use. Options include various Claude 3 models. |
| anthropic_api_key | SecretString | Input parameter. Your Anthropic API key for authentication. |
| temperature | Float | Input parameter. Controls randomness in the output. Default: `0.1`. |
| anthropic_api_url | String | Input parameter. Endpoint of the Anthropic API. Defaults to `https://api.anthropic.com` if not specified. |
| prefill | String | Input parameter. Prefill text to guide the model's response. |