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* fix: nightly now properly gets 1.9.0 branch (#12215) before it was attempting to pull release-notes as letters are alphanumerically after numbers when we sort -V then grab tail now we only look at branch names that follow the pattern '^release-[0-9]+\.[0-9]+\.[0-9]+$' * docs: add search icon (#12216) add-back-svg * initial-content * cut-1.8-release-and-include-next-version * stage-1.8.0-and-next --------- Co-authored-by: Adam-Aghili <149833988+Adam-Aghili@users.noreply.github.com>
36 lines
1.8 KiB
Plaintext
36 lines
1.8 KiB
Plaintext
---
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title: Perplexity
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slug: /bundles-perplexity
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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 **Perplexity** bundle.
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For more information about Perplexity features and functionality used by Perplexity components, see the [Perplexity documentation](https://perplexity.ai/).
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## Perplexity text generation
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This component generates text using Perplexity's language models.
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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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Use the **Language Model** output when you want to use a Perplexity 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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### Perplexity text generation parameters
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<PartialParams />
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| Name | Type | Description |
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|------|------|-------------|
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| model_name | String | Input parameter. The name of the Perplexity model to use. Options include various Llama 3.1 models. |
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| max_tokens | Integer | Input parameter. The maximum number of tokens to generate. |
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| api_key | SecretString | Input parameter. The Perplexity API Key for authentication. |
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| temperature | Float | Input parameter. Controls randomness in the output. Default: 0.75. |
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| top_p | Float | Input parameter. The maximum cumulative probability of tokens to consider when sampling. |
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| n | Integer | Input parameter. Number of chat completions to generate for each prompt. | |