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37 lines
2.1 KiB
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37 lines
2.1 KiB
Plaintext
---
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title: Anthropic
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slug: /bundles-anthropic
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---
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import Icon from "@site/src/components/icon";
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import PartialParams from '@site/docs/_partial-hidden-params.mdx';
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<Icon name="Blocks" aria-hidden="true" /> [**Bundles**](/components-bundle-components) contain custom components that support specific third-party integrations with Langflow.
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This page describes the components that are available in the **Anthropic** bundle.
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For more information about Anthropic features and functionality used by Anthropic components, see the [Anthropic documentation](https://docs.anthropic.com/en/docs/intro).
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## Anthropic text generation
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The **Anthropic** component generates text using Anthropic Chat and Language models like Claude.
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It can output either a **Model Response** ([`Message`](/data-types#message)) or a **Language Model** ([`LanguageModel`](/data-types#languagemodel)).
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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.
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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.
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For more information, see [Language model components](/components-models).
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### Anthropic text generation parameters
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<PartialParams />
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| Name | Type | Description |
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|------|------|-------------|
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| max_tokens | Integer | Input parameter. The maximum number of tokens to generate. Set to 0 for unlimited tokens. Default: `4096`. |
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| model | String | Input parameter. The name of the Anthropic model to use. Options include various Claude 3 models. |
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| anthropic_api_key | SecretString | Input parameter. Your Anthropic API key for authentication. |
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| temperature | Float | Input parameter. Controls randomness in the output. Default: `0.1`. |
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| anthropic_api_url | String | Input parameter. Endpoint of the Anthropic API. Defaults to `https://api.anthropic.com` if not specified. |
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| prefill | String | Input parameter. Prefill text to guide the model's response. | |