Novita

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 Novita bundle.

Novita AI

This component generates text using Novita's language models.

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

Use the Language Model output when you want to use a Novita model as the LLM for another LLM-driven component, such as a Language Model or Smart Transform component.

For more information, see Language model components.

Novita AI 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
api_key	SecretString	Input parameter. Your Novita AI API Key.
model	String	Input parameter. The id of the Novita AI model to use.
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: 0.7.
top_p	Float	Input parameter. Controls the nucleus sampling. Range: [0.0, 1.0]. Default: 1.0.
frequency_penalty	Float	Input parameter. Controls the frequency penalty. Range: [0.0, 2.0]. Default: 0.0.
presence_penalty	Float	Input parameter. Controls the presence penalty. Range: [0.0, 2.0]. Default: 0.0.