AIModelsListObject

pydantic model openapi_client.models.ai_models_list_object.AIModelsListObject

AIModelsListObject

Fields:

• adaptive_thinking (bool | None)

• effort (List[str] | None)

• last_modified_by (str | None)

• last_modified_time (str | None)

• model_arn (str | None)

• model_description (str | None)

• model_id (str | None)

• model_name (str | None)

• model_status (str | None)

• model_status_message (str | None)

• model_token_limit (str | None)

• model_traits (str | None)

• model_type (str | None)

• model_version (str | None)

• output_modalities (List[str] | None)

• provider_name (str | None)

field model_id: Optional[StrictStr] = None (alias 'ModelId')

field model_name: Optional[StrictStr] = None (alias 'ModelName')

field model_arn: Optional[StrictStr] = None (alias 'ModelArn')

field provider_name: Optional[StrictStr] = None (alias 'ProviderName')

field model_status: Optional[StrictStr] = None (alias 'ModelStatus')

field model_version: Optional[StrictStr] = None (alias 'ModelVersion')

field model_status_message: Optional[StrictStr] = None (alias 'ModelStatusMessage')

field model_token_limit: Optional[StrictStr] = None (alias 'ModelTokenLimit')

field model_type: Optional[StrictStr] = None (alias 'ModelType')

field model_traits: Optional[StrictStr] = None (alias 'ModelTraits')

field model_description: Optional[StrictStr] = None (alias 'ModelDescription')

field last_modified_time: Optional[StrictStr] = None (alias 'LastModifiedTime')

field last_modified_by: Optional[StrictStr] = None (alias 'LastModifiedBy')

field output_modalities: Optional[List[StrictStr]] = None (alias 'OutputModalities')

field adaptive_thinking: Optional[StrictBool] = None (alias 'AdaptiveThinking')

Whether the model supports adaptive extended thinking

field effort: Optional[List[StrictStr]] = None (alias 'Effort')

Supported adaptive thinking effort levels when AdaptiveThinking is true

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 AIModelsListObject 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 AIModelsListObject from a dict

Return type:

Optional[Self]