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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>
35 lines
1.7 KiB
Plaintext
35 lines
1.7 KiB
Plaintext
---
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title: SambaNova
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slug: /bundles-sambanova
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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 **SambaNova** bundle.
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For more information about SambaNova features and functionality used by SambaNova components, see the [SambaNova Cloud documentation](https://cloud.sambanova.ai/).
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## SambaNova text generation
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This component generates text using SambaNova LLMs.
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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 SambaNova 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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### SambaNova text generation parameters
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<PartialParams />
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| Name | Type | Description |
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|------|------|-------------|
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| sambanova_url | String | Input parameter. Base URL path for API requests. Default: `https://api.sambanova.ai/v1/chat/completions`. |
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| sambanova_api_key | SecretString | Input parameter. Your SambaNova API Key. |
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| model_name | String | Input parameter. The name of the SambaNova model to use. Options include various Llama models. |
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| max_tokens | Integer | Input parameter. The maximum number of tokens to generate. Set to 0 for unlimited tokens. |
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| temperature | Float | Input parameter. Controls randomness in the output. Range: [0.0, 1.0]. Default: 0.07. | |