EmbeddingsResult Class
Representation of the response data from an embeddings request. Embeddings measure the relatedness of text strings and are commonly used for search, clustering, recommendations, and other similar scenarios.
Constructor
EmbeddingsResult(*args: Any, **kwargs: Any)
Variables
Name | Description |
---|---|
data
|
Embedding values for the prompts submitted in the request. Required. |
usage
|
Usage counts for tokens input using the embeddings API. Required. |
model
|
The model ID used to generate this result. Required. |
Methods
as_dict |
Return a dict that can be turned into json using json.dump. |
clear |
Remove all items from D. |
copy | |
get |
Get the value for key if key is in the dictionary, else default. :param str key: The key to look up. :param any default: The value to return if key is not in the dictionary. Defaults to None :returns: D[k] if k in D, else d. :rtype: any |
items | |
keys | |
pop |
Removes specified key and return the corresponding value. :param str key: The key to pop. :param any default: The value to return if key is not in the dictionary :returns: The value corresponding to the key. :rtype: any :raises KeyError: If key is not found and default is not given. |
popitem |
Removes and returns some (key, value) pair :returns: The (key, value) pair. :rtype: tuple :raises KeyError: if D is empty. |
setdefault |
Same as calling D.get(k, d), and setting D[k]=d if k not found :param str key: The key to look up. :param any default: The value to set if key is not in the dictionary :returns: D[k] if k in D, else d. :rtype: any |
update |
Updates D from mapping/iterable E and F. :param any args: Either a mapping object or an iterable of key-value pairs. |
values |
as_dict
Return a dict that can be turned into json using json.dump.
as_dict(*, exclude_readonly: bool = False) -> Dict[str, Any]
Keyword-Only Parameters
Name | Description |
---|---|
exclude_readonly
|
Whether to remove the readonly properties. Default value: False
|
Returns
Type | Description |
---|---|
A dict JSON compatible object |
clear
Remove all items from D.
clear() -> None
copy
copy() -> Model
get
Get the value for key if key is in the dictionary, else default. :param str key: The key to look up. :param any default: The value to return if key is not in the dictionary. Defaults to None :returns: D[k] if k in D, else d. :rtype: any
get(key: str, default: Any = None) -> Any
Parameters
Name | Description |
---|---|
key
Required
|
|
default
|
Default value: None
|
items
items() -> ItemsView[str, Any]
Returns
Type | Description |
---|---|
set-like object providing a view on D's items |
keys
keys() -> KeysView[str]
Returns
Type | Description |
---|---|
a set-like object providing a view on D's keys |
pop
Removes specified key and return the corresponding value. :param str key: The key to pop. :param any default: The value to return if key is not in the dictionary :returns: The value corresponding to the key. :rtype: any :raises KeyError: If key is not found and default is not given.
pop(key: str, default: ~typing.Any = <object object>) -> Any
Parameters
Name | Description |
---|---|
key
Required
|
|
default
|
|
popitem
Removes and returns some (key, value) pair :returns: The (key, value) pair. :rtype: tuple :raises KeyError: if D is empty.
popitem() -> Tuple[str, Any]
setdefault
Same as calling D.get(k, d), and setting D[k]=d if k not found :param str key: The key to look up. :param any default: The value to set if key is not in the dictionary :returns: D[k] if k in D, else d. :rtype: any
setdefault(key: str, default: ~typing.Any = <object object>) -> Any
Parameters
Name | Description |
---|---|
key
Required
|
|
default
|
|
update
Updates D from mapping/iterable E and F. :param any args: Either a mapping object or an iterable of key-value pairs.
update(*args: Any, **kwargs: Any) -> None
values
values() -> ValuesView[Any]
Returns
Type | Description |
---|---|
an object providing a view on D's values |
Attributes
data
Embedding values for the prompts submitted in the request. Required.
data: List['_models.EmbeddingItem']
id
Unique identifier for the embeddings result. Required.
id: str
model
The model ID used to generate this result. Required.
model: str
usage
Usage counts for tokens input using the embeddings API. Required.
usage: _models.EmbeddingsUsage