mirror of
https://github.com/hanzoai/flow.git
synced 2026-10-17 01:29:18 +00:00
zeekay
d650dd60f0
Docs corpus (Langflow->Hanzo Flow, upstream URLs langflow-ai/langflow->hanzoai/ flow, docs.langflow.org->docs.hanzo.ai), starter-project template help-URLs, CI workflows, and test files. Remaining 'langflow' repo-wide is now dominated by LANGFLOW_* env-var names + langflow_ settings fields — the config-boundary layer deliberately preserved pending a coordinated FLOW_/HANZO_ alias-with-fallback (renaming them blind breaks every deployment).
35 lines
1.7 KiB
Plaintext
35 lines
1.7 KiB
Plaintext
---
|
|
title: Novita
|
|
slug: /bundles-novita
|
|
---
|
|
|
|
import Icon from "@site/src/components/icon";
|
|
import PartialParams from '@site/docs/_partial-hidden-params.mdx';
|
|
|
|
<Icon name="Blocks" aria-hidden="true" /> [**Bundles**](/components-bundle-components) contain custom components that support specific third-party integrations with Hanzo Flow.
|
|
|
|
This page describes the components that are available in the **Novita** bundle.
|
|
|
|
## Novita AI
|
|
|
|
This component generates text using [Novita's language models](https://novita.ai/docs/guides/llm-api).
|
|
|
|
It can output either a **Model Response** ([`Message`](/data-types#message)) or a **Language Model** ([`LanguageModel`](/data-types#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](/components-models).
|
|
|
|
### Novita AI parameters
|
|
|
|
<PartialParams />
|
|
|
|
| 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. | |