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

generateAgentCode POST

Copy POST

Generates the code for defining an AI Agent

Arguments:

REQUIRED	KEY	TYPE	DESCRIPTION
Yes	projectId	str	The unique ID associated with the project.
Yes	prompt	str	A natural language prompt which describes agent specification. Describe what the agent will do, what inputs it will expect, and what outputs it will give out
No	fastMode	bool	If True, runs a faster but slightly less accurate code generation pipeline

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
type
description

Exceptions:

TYPE	WHEN
DataNotFoundError	`projectId` is not found.

Language: