GetAgentDetailsResponseCostInferenceProfileDetails

class openapi_client.models.get_agent_details_response_cost_inference_profile_details.GetAgentDetailsResponseCostInferenceProfileDetails(**data)

Bases: BaseModel

inference_profile_arn: Optional[Annotated[str, Field(strict=True)]]

inference_profile_name: Optional[Annotated[str, Field(strict=True)]]

inference_profile_tags: Optional[List[GetAgentDetailsResponseCostInferenceProfileDetailsInferenceProfileTagsInner]]

classmethod inference_profile_arn_validate_regular_expression(value)

Validates the regular expression

classmethod inference_profile_name_validate_regular_expression(value)

Validates the regular expression

model_config: ClassVar[ConfigDict] = {'populate_by_name': True, 'protected_namespaces': (), 'validate_assignment': True}

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

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of GetAgentDetailsResponseCostInferenceProfileDetails from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

• None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of GetAgentDetailsResponseCostInferenceProfileDetails from a dict

Return type:

Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'inference_profile_arn': FieldInfo(annotation=Union[Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[Strict(strict=True)])], NoneType], required=False, alias='InferenceProfileArn', alias_priority=2), 'inference_profile_name': FieldInfo(annotation=Union[Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[Strict(strict=True)])], NoneType], required=False, alias='InferenceProfileName', alias_priority=2), 'inference_profile_tags': FieldInfo(annotation=Union[List[GetAgentDetailsResponseCostInferenceProfileDetailsInferenceProfileTagsInner], NoneType], required=False, alias='InferenceProfileTags', alias_priority=2)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

model_post_init(__context)

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that’s what pydantic-core passes when calling it.

Parameters:

• self (BaseModel) – The BaseModel instance.

• __context (Any) – The context.

Return type:

None