Embeddings.create's types should support `input` being a `tuple[str]`

[nairb774]

Confirm this is a feature request for the Python library and not the underlying OpenAI API.

• This is a feature request for the Python library

Describe the feature or improvement you're requesting

Currently the type for input in Embeddings.create is: Union[str, List[str], Iterable[int], Iterable[Iterable[int]]]. It would be nice if the documented type could be expanded to support tuple[str] as well. Passing a tuple of strings works in local testing. The narrow type definition makes type checking tools complain needlessly. Supporting a tuple is useful because it allows for combining with itertools.batched to break large inputs into acceptable blocks.

Current alternatives are to convert the tuple to a list (unnecessary copy), or input=cast(list[str], input) (type hole/fragility).

Additional context

Specific function being discussed:

openai-python/src/openai/resources/embeddings.py

Lines 46 to 60 in 995cce0

	def create(
	self,
	*,
	input: Union[str, List[str], Iterable[int], Iterable[Iterable[int]]],
	model: Union[str, EmbeddingModel],
	dimensions: int | NotGiven = NOT_GIVEN,
	encoding_format: Literal["float", "base64"] | NotGiven = NOT_GIVEN,
	user: str | NotGiven = NOT_GIVEN,
	# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
	# The extra values given here take precedence over values defined on the client or passed to this method.
	extra_headers: Headers | None = None,
	extra_query: Query | None = None,
	extra_body: Body | None = None,
	timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
	) -> CreateEmbeddingResponse:

And the async variant:

openai-python/src/openai/resources/embeddings.py

Lines 158 to 172 in 995cce0

	async def create(
	self,
	*,
	input: Union[str, List[str], Iterable[int], Iterable[Iterable[int]]],
	model: Union[str, EmbeddingModel],
	dimensions: int | NotGiven = NOT_GIVEN,
	encoding_format: Literal["float", "base64"] | NotGiven = NOT_GIVEN,
	user: str | NotGiven = NOT_GIVEN,
	# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
	# The extra values given here take precedence over values defined on the client or passed to this method.
	extra_headers: Headers | None = None,
	extra_query: Query | None = None,
	extra_body: Body | None = None,
	timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
	) -> CreateEmbeddingResponse: