Converter config

Converter configuration schema.

`ConverterConfig`

Bases: BaseModel

Configuration for building a single modality converter instance.

Attributes:

Name	Type	Description
`source_modality`	`Modality`	Source modality for conversion. Defaults to Modality.IMAGE.
`target_modality`	`Modality`	Target modality for conversion. Defaults to Modality.TEXT.
`task_type`	`ModalityConverterTask`	Converter task type. Defaults to ModalityConverterTask.AUTO.
`approach_type`	`ModalityConverterApproach \| None`	Converter approach type. Defaults to None.
`preset`	`str \| None`	Preset name for the converter. Required for ModalityConverterBuildStrategy.PRESET. Defaults to None.
`strategy`	`ModalityConverterBuildStrategy \| None`	Build strategy for the converter. When None, the strategy is auto-determined from the provided fields (preset → PRESET, lmrp_config → LMRP, otherwise → KWARGS). Defaults to None.
`lmrp_config`	`dict[str, Any] \| None`	Configuration for custom LMRP. Required for ModalityConverterBuildStrategy.LMRP. Follows build_lm_request_processor signature. Defaults to None.

Pydantic model configuration.

This class defines the Pydantic model configuration for the ConverterConfig model.

Attributes:

Name	Type	Description
`extra`	`str`	Allow extra fields.