AIModelInvocation

pydantic model openapi_client.models.ai_model_invocation.AIModelInvocation

AIModelInvocation

Fields:
field user_input: StrictStr [Required] (alias 'UserInput')

The text prompt or input for the model.

Constraints:

  • strict = True

field model_parameters: Optional[Dict[str, Any]] = None (alias 'ModelParameters')

Optional provider-specific model parameters for this invocation.

field guardrail_id: Optional[StrictStr] = None (alias 'GuardrailId')

Optional Amorphic guard rail ID. When omitted, the implementation uses the default guard rail.

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 AIModelInvocation 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 AIModelInvocation from a dict

Return type:

Optional[Self]