SambaNova

tip

This provider is an extra of the lfx-bundles metapackage. It is opt-in for both Langflow and standalone LFX installs:

uv pip install "lfx-bundles[<bundle>]"

Replace <bundle> with this page's provider name, for example qdrant. For a torch-free full Langflow install, run uv pip install "langflow[bundles]". For standalone LFX with every provider in lfx-bundles, including PyTorch-based providers, run uv pip install "lfx[bundles]". See Additional bundles for the exact extra name.

Bundles contain custom components that support specific third-party integrations with Langflow.

This page describes the components that are available in the SambaNova bundle.

For more information about SambaNova features and functionality used by SambaNova components, see the SambaNova Cloud documentation.

SambaNova text generation

This component generates text using SambaNova LLMs.

It can output either a Model Response (Message) or a Language Model (LanguageModel).

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.

For more information, see Language model components.

SambaNova text generation parameters

Some parameters are hidden by default in the visual editor. You can modify all component parameters through the component inspection panel that appears when you select a component.

Name	Type	Description
sambanova_url	String	Input parameter. Base URL path for API requests. Default: https://api.sambanova.ai/v1/chat/completions.
sambanova_api_key	SecretString	Input parameter. Your SambaNova API Key.
model_name	String	Input parameter. The name of the SambaNova model to use. Options include various Llama models.
max_tokens	Integer	Input parameter. The maximum number of tokens to generate. Set to 0 for unlimited tokens.
temperature	Float	Input parameter. Controls randomness in the output. Range: [0.0, 1.0]. Default: 0.07.