xAI
Bundles contain custom components that support specific third-party integrations with Langflow.
This page describes the components that are available in the xAI bundle.
For more information about xAI features and functionality used by xAI components, see the xAI documentation.
xAI text generation
The xAI component generates text using xAI models like Grok.
It can output either a Model Response (Message
) or a Language Model (LanguageModel
).
Use the Language Model output when you want to use an xAI model as the LLM for another LLM-driven component, such as a Language Model or Smart Function component.
For more information, see Language Model components.
xAI text generation parameters
Many xAI component input parameters are hidden by default in the visual editor. You can toggle parameters through the Controls in the component's header menu.
Name | Type | Description |
---|---|---|
max_tokens | Integer | Input parameter. Maximum number of tokens to generate. Set to 0 for unlimited. Range: 0-128000 . |
model_kwargs | Dictionary | Input parameter. Additional keyword arguments for the model. |
json_mode | Boolean | Input parameter. If True , outputs JSON regardless of passing a schema. |
model_name | String | Input parameter. The xAI model to use. Default: grok-2-latest . |
base_url | String | Input parameter. Base URL for API requests. Default: https://api.x.ai/v1 . |
api_key | SecretString | Input parameter. Your xAI API key for authentication. |
temperature | Float | Input parameter. Controls randomness in the output. Range: [0.0, 2.0] . Default: 0.1 . |
seed | Integer | Input parameter. Controls reproducibility of the job. |