Overview Use Cases Connectors Authentication Getting Started with the Python SDK API Reference ai_agents constructAgentConversationMessagesForLLM createAgent describeAgent describeAgentVersion downloadAgentAttachment evaluatePrompt extractAgentWorkflowInformation extractDataUsingLLM generateAgentCode generateCodeForDataQueryUsingLLM listAgentVersions listAgents renderFeatureGroupsForLLM searchFeatureGroups searchWebForLLM updateAgent validateWorkflowGraph ai_chat algorithm annotations application_connectors batch_prediction code_completion custom_loss_function custom_metric database_connectors dataset deployment deployment_conversations docstore document_retrievers documentation eda external_app feature_drift feature_group feature_group_row_process feature_group_template file_connectors graph_dashboard holdout_analysis llm_apps model model_monitoring module natural_language_explanation organization pipelines predict prediction_operator project python_function refresh secrets streaming streaming_connectors upload webhooks API Classes API Inputs Documentation Chat Bot API Search Video Tutorials ChatLLM

Method

renderFeatureGroupsForLLM POST

Copy POST

Encode feature groups as language model inputs.

Arguments:

REQUIRED	KEY	TYPE	DESCRIPTION
Yes	featureGroupIds	List[str]	List of feature groups to be encoded.
No	tokenBudget	int	Enforce a given budget for each encoded feature group.
No	includeDefinition	bool	Include the definition of the feature group in the encoding.

Note: The arguments for the API methods follow camelCase but for Python SDK underscore_case is followed.

Response:

KEY	TYPE	DESCRIPTION
success	Boolean	true if the call succeeded, false if there was an error
result	list[LlmInput]

Exceptions:

TYPE	WHEN
DataNotFoundError	`featureGroupIds` is not found.

Language: