AIModelUpdateInput

pydantic model openapi_client.models.ai_model_update_input.AIModelUpdateInput

Action-dependent PUT body. For update_parameters, send a flat map of parameter names to string values (not nested under ModelParameters), optionally with AdaptiveThinking and Effort. For set_default_inference_type, include InferenceType. For update_cost_tags, CostTags is required. For enable, CostTags is optional. Unused for disable.

Fields:
field inference_type: Optional[StrictStr] = None (alias 'InferenceType')

Required for set_default_inference_type. Must be one of the model’s InferenceTypesSupported values.

field cost_tags: Optional[List[ETLJobByIdResponseCostTagsInner]] = None (alias 'CostTags')

Required for update_cost_tags (may be an empty list). Optional for enable.

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

Optional for update_parameters. Adaptive thinking effort levels. Requires AdaptiveThinking to be (or be set to) true.

field additional_properties: Dict[str, Any] = {}
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 AIModelUpdateInput 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.

  • Fields in self.additional_properties are added to the output dict.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of AIModelUpdateInput from a dict

Return type:

Optional[Self]