ModelConfig

class oci.generative_ai.models.ModelConfig(**kwargs)

Bases: object

Base model configuration shared across GenAI Project memory.

Attributes:

MODEL_CONFIG_TYPE_CONDENSER	A constant which can be used with the model_config_type property of a ModelConfig.
MODEL_CONFIG_TYPE_EMBEDDING	A constant which can be used with the model_config_type property of a ModelConfig.
MODEL_CONFIG_TYPE_EXTRACTION	A constant which can be used with the model_config_type property of a ModelConfig.
llm_selection	[Required] Gets the llm_selection of this ModelConfig.
model_config_type	[Required] Gets the model_config_type of this ModelConfig.

Methods:

__init__(**kwargs)	Initializes a new ModelConfig object with values from keyword arguments.
get_subtype(object_dictionary)	Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype.

MODEL_CONFIG_TYPE_CONDENSER = 'CONDENSER'

A constant which can be used with the model_config_type property of a ModelConfig. This constant has a value of “CONDENSER”

MODEL_CONFIG_TYPE_EMBEDDING = 'EMBEDDING'

A constant which can be used with the model_config_type property of a ModelConfig. This constant has a value of “EMBEDDING”

MODEL_CONFIG_TYPE_EXTRACTION = 'EXTRACTION'

A constant which can be used with the model_config_type property of a ModelConfig. This constant has a value of “EXTRACTION”

__init__(**kwargs)

Initializes a new ModelConfig object with values from keyword arguments. This class has the following subclasses and if you are using this class as input to a service operations then you should favor using a subclass over the base class:

• CondenserConfig

• ExtractionConfig

• EmbeddingConfig

The following keyword arguments are supported (corresponding to the getters/setters of this class):

Parameters

• model_config_type (str) – The value to assign to the model_config_type property of this ModelConfig. Allowed values for this property are: “EXTRACTION”, “EMBEDDING”, “CONDENSER”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.

• llm_selection (oci.generative_ai.models.LlmSelection) – The value to assign to the llm_selection property of this ModelConfig.

static get_subtype(object_dictionary)

Given the hash representation of a subtype of this class, use the info in the hash to return the class of the subtype.

property llm_selection

[Required] Gets the llm_selection of this ModelConfig.

Returns

The llm_selection of this ModelConfig.

Return type

oci.generative_ai.models.LlmSelection

property model_config_type

[Required] Gets the model_config_type of this ModelConfig. The stage-specific config type.

Allowed values for this property are: “EXTRACTION”, “EMBEDDING”, “CONDENSER”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.

Returns

The model_config_type of this ModelConfig.

Return type

str