snowflake.core.cortex.inference_service.CompleteRequestMessagesInner | Snowflake Documentation (original) (raw)
class snowflake.core.cortex.inference_service.CompleteRequestMessagesInner(*, role: Annotated[str, Strict(strict=True)] | None = 'user', content: Annotated[str, Strict(strict=True)], content_list: List[Any] | None = None)¶
Bases: BaseModel
A model object representing the CompleteRequestMessagesInner resource.
Constructs an object of type CompleteRequestMessagesInner with the provided properties.
Parameters:
- content (str) – The text completion prompt, e.g. ‘What is a Large Language Model?’.
- role (str , default 'user') –
Indicates the role of the message, one of ‘system’, ‘user’ or ‘assistant’.
Rules:- A ‘user’ message must be the last message in the list.
- If a ‘system’ message is specified, it must be the first message.
- If a ‘assistant’ message is specified, it must be immediately before a ‘user’ message in the list.
Multiple ‘assistant’ and ‘user’ messages can be specified, but they must alternate in sequence.
- content_list (List [ object ] , optional) – Contents of toolUse and toolResults
Create a new model by parsing and validating input data from keyword arguments.
Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.
self is explicitly positional-only to allow self as a field name.
Methods
classmethod from_dict(obj: dict) → CompleteRequestMessagesInner¶
Create an instance of CompleteRequestMessagesInner from a dict.
classmethod from_json(json_str: str) → CompleteRequestMessagesInner¶
Create an instance of CompleteRequestMessagesInner from a JSON string.
to_dict(hide_readonly_properties: bool = False) → dict[str, Any]¶
Returns the dictionary representation of the model using alias.
to_dict_without_readonly_properties() → dict[str, Any]¶
Return the dictionary representation of the model without readonly properties.
to_json() → str¶
Returns the JSON representation of the model using alias.
to_str() → str¶
Returns the string representation of the model using alias.