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]