snowflake.cortex.CompleteOptions¶
- class snowflake.cortex.CompleteOptions¶
- Bases: - TypedDict- Options configuring a snowflake.cortex.Complete call. - Methods - clear() None. Remove all items from D.¶
 - copy() a shallow copy of D¶
 - fromkeys(value=None, /)¶
- Create a new dictionary with keys from iterable and values set to value. 
 - get(key, default=None, /)¶
- Return the value for key if key is in the dictionary, else default. 
 - items() a set-like object providing a view on D's items¶
 - keys() a set-like object providing a view on D's keys¶
 - pop(k[, d]) v, remove specified key and return the corresponding value.¶
- If the key is not found, return the default if given; otherwise, raise a KeyError. 
 - popitem()¶
- Remove and return a (key, value) pair as a 2-tuple. - Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty. 
 - setdefault(key, default=None, /)¶
- Insert key with a value of default if key is not in the dictionary. - Return the value for key if key is in the dictionary, else default. 
 - update([E, ]**F) None. Update D from dict/iterable E and F.¶
- If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k] 
 - values() an object providing a view on D's values¶
 - Attributes - max_tokens: NotRequired[int]¶
- Sets the maximum number of output tokens in the response. Small values can result in truncated responses. 
 - temperature: NotRequired[float]¶
- A value from 0 to 1 (inclusive) that controls the randomness of the output of the language model. A higher temperature (for example, 0.7) results in more diverse and random output, while a lower temperature (such as 0.2) makes the output more deterministic and focused. 
 - top_p: NotRequired[float]¶
- A value from 0 to 1 (inclusive) that controls the randomness and diversity of the language model, generally used as an alternative to temperature. The difference is that top_p restricts the set of possible tokens that the model outputs, while temperature influences which tokens are chosen at each step. 
 - guardrails: NotRequired[bool]¶
- A boolean value that controls whether Cortex Guard filters unsafe or harmful responses from the language model. 
 - response_format: NotRequired[ResponseFormat]¶
- An object describing response format config for structured-output mode