CreateLLMModelRequest

class baseten.client.managementapi.CreateLLMModelRequest(*, resources, deployment_name=None, region=None, llm_version=None, llm_config=None, environment_variables=None, model_metadata=None, autoscaling_settings=None, additional_autoscaling_config=None, metadata=None, weights=None, bdn=None, egress_restrictions=None, runtime=None, name)

Bases: BaseModel

Parameters:

• resources (dict[str, Any])

• deployment_name (str | None)

• region (str | None)

• llm_version (str | None)

• llm_config (dict[str, Any] | None)

• environment_variables (dict[str, Any] | None)

• model_metadata (dict[str, Any] | None)

• autoscaling_settings (UpdateAutoscalingSettings | None)

• additional_autoscaling_config (dict[str, Any] | None)

• metadata (dict[str, Any] | None)

• weights (list[dict[str, Any]] | None)

• bdn (dict[str, Any] | None)

• egress_restrictions (EgressRestrictions | None)

• runtime (LLMRuntime | None)

• name (str)

model_config = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].