structure saas with tools
This commit is contained in:
@@ -0,0 +1,367 @@
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# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
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from __future__ import annotations
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import logging
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from typing import TYPE_CHECKING, Union, Mapping, cast
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from typing_extensions import Literal, overload, assert_never
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import httpx
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from ... import _legacy_response
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from ..._types import NOT_GIVEN, Body, Query, Headers, NotGiven, FileTypes
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from ..._utils import extract_files, maybe_transform, deepcopy_minimal, async_maybe_transform
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from ..._compat import cached_property
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from ..._resource import SyncAPIResource, AsyncAPIResource
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from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
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from ...types.audio import translation_create_params
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from ..._base_client import make_request_options
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from ...types.audio_model import AudioModel
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from ...types.audio.translation import Translation
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from ...types.audio_response_format import AudioResponseFormat
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from ...types.audio.translation_verbose import TranslationVerbose
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__all__ = ["Translations", "AsyncTranslations"]
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log: logging.Logger = logging.getLogger("openai.audio.transcriptions")
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class Translations(SyncAPIResource):
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@cached_property
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def with_raw_response(self) -> TranslationsWithRawResponse:
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"""
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This property can be used as a prefix for any HTTP method call to return
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the raw response object instead of the parsed content.
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For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
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"""
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return TranslationsWithRawResponse(self)
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@cached_property
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def with_streaming_response(self) -> TranslationsWithStreamingResponse:
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"""
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An alternative to `.with_raw_response` that doesn't eagerly read the response body.
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For more information, see https://www.github.com/openai/openai-python#with_streaming_response
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"""
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return TranslationsWithStreamingResponse(self)
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@overload
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def create(
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self,
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*,
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file: FileTypes,
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model: Union[str, AudioModel],
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response_format: Union[Literal["json"], NotGiven] = NOT_GIVEN,
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prompt: str | NotGiven = NOT_GIVEN,
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temperature: float | NotGiven = NOT_GIVEN,
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# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
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# The extra values given here take precedence over values defined on the client or passed to this method.
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extra_headers: Headers | None = None,
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extra_query: Query | None = None,
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extra_body: Body | None = None,
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timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
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) -> Translation: ...
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@overload
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def create(
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self,
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*,
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file: FileTypes,
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model: Union[str, AudioModel],
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response_format: Literal["verbose_json"],
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prompt: str | NotGiven = NOT_GIVEN,
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temperature: float | NotGiven = NOT_GIVEN,
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# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
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# The extra values given here take precedence over values defined on the client or passed to this method.
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extra_headers: Headers | None = None,
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extra_query: Query | None = None,
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extra_body: Body | None = None,
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timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
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) -> TranslationVerbose: ...
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@overload
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def create(
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self,
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*,
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file: FileTypes,
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model: Union[str, AudioModel],
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response_format: Literal["text", "srt", "vtt"],
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prompt: str | NotGiven = NOT_GIVEN,
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temperature: float | NotGiven = NOT_GIVEN,
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# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
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# The extra values given here take precedence over values defined on the client or passed to this method.
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extra_headers: Headers | None = None,
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extra_query: Query | None = None,
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extra_body: Body | None = None,
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timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
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) -> str: ...
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def create(
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self,
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*,
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file: FileTypes,
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model: Union[str, AudioModel],
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prompt: str | NotGiven = NOT_GIVEN,
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response_format: Union[Literal["json", "text", "srt", "verbose_json", "vtt"], NotGiven] = NOT_GIVEN,
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temperature: float | NotGiven = NOT_GIVEN,
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# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
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# The extra values given here take precedence over values defined on the client or passed to this method.
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extra_headers: Headers | None = None,
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extra_query: Query | None = None,
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extra_body: Body | None = None,
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timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
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) -> Translation | TranslationVerbose | str:
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"""
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Translates audio into English.
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Args:
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file: The audio file object (not file name) translate, in one of these formats: flac,
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mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
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model: ID of the model to use. Only `whisper-1` (which is powered by our open source
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Whisper V2 model) is currently available.
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prompt: An optional text to guide the model's style or continue a previous audio
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segment. The
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[prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
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should be in English.
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response_format: The format of the output, in one of these options: `json`, `text`, `srt`,
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`verbose_json`, or `vtt`.
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temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
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output more random, while lower values like 0.2 will make it more focused and
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deterministic. If set to 0, the model will use
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[log probability](https://en.wikipedia.org/wiki/Log_probability) to
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automatically increase the temperature until certain thresholds are hit.
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extra_headers: Send extra headers
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extra_query: Add additional query parameters to the request
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extra_body: Add additional JSON properties to the request
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timeout: Override the client-level default timeout for this request, in seconds
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"""
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body = deepcopy_minimal(
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{
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"file": file,
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"model": model,
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"prompt": prompt,
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"response_format": response_format,
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"temperature": temperature,
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}
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)
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files = extract_files(cast(Mapping[str, object], body), paths=[["file"]])
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# It should be noted that the actual Content-Type header that will be
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# sent to the server will contain a `boundary` parameter, e.g.
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# multipart/form-data; boundary=---abc--
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extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
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return self._post( # type: ignore[return-value]
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"/audio/translations",
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body=maybe_transform(body, translation_create_params.TranslationCreateParams),
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files=files,
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options=make_request_options(
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extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
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),
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cast_to=_get_response_format_type(response_format),
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)
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class AsyncTranslations(AsyncAPIResource):
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@cached_property
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def with_raw_response(self) -> AsyncTranslationsWithRawResponse:
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"""
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This property can be used as a prefix for any HTTP method call to return
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the raw response object instead of the parsed content.
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For more information, see https://www.github.com/openai/openai-python#accessing-raw-response-data-eg-headers
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"""
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return AsyncTranslationsWithRawResponse(self)
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@cached_property
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def with_streaming_response(self) -> AsyncTranslationsWithStreamingResponse:
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"""
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An alternative to `.with_raw_response` that doesn't eagerly read the response body.
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For more information, see https://www.github.com/openai/openai-python#with_streaming_response
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"""
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return AsyncTranslationsWithStreamingResponse(self)
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@overload
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async def create(
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self,
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*,
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file: FileTypes,
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model: Union[str, AudioModel],
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response_format: Union[Literal["json"], NotGiven] = NOT_GIVEN,
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prompt: str | NotGiven = NOT_GIVEN,
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temperature: float | NotGiven = NOT_GIVEN,
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# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
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# The extra values given here take precedence over values defined on the client or passed to this method.
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extra_headers: Headers | None = None,
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extra_query: Query | None = None,
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extra_body: Body | None = None,
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timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
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) -> Translation: ...
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@overload
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async def create(
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self,
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*,
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file: FileTypes,
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model: Union[str, AudioModel],
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response_format: Literal["verbose_json"],
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prompt: str | NotGiven = NOT_GIVEN,
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temperature: float | NotGiven = NOT_GIVEN,
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# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
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# The extra values given here take precedence over values defined on the client or passed to this method.
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extra_headers: Headers | None = None,
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extra_query: Query | None = None,
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extra_body: Body | None = None,
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timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
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) -> TranslationVerbose: ...
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@overload
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async def create(
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self,
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*,
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file: FileTypes,
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model: Union[str, AudioModel],
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response_format: Literal["text", "srt", "vtt"],
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prompt: str | NotGiven = NOT_GIVEN,
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temperature: float | NotGiven = NOT_GIVEN,
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# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
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# The extra values given here take precedence over values defined on the client or passed to this method.
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extra_headers: Headers | None = None,
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extra_query: Query | None = None,
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extra_body: Body | None = None,
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timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
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) -> str: ...
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async def create(
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self,
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*,
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file: FileTypes,
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model: Union[str, AudioModel],
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prompt: str | NotGiven = NOT_GIVEN,
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response_format: Union[AudioResponseFormat, NotGiven] = NOT_GIVEN,
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temperature: float | NotGiven = NOT_GIVEN,
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# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
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# The extra values given here take precedence over values defined on the client or passed to this method.
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extra_headers: Headers | None = None,
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extra_query: Query | None = None,
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extra_body: Body | None = None,
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timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
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) -> Translation | TranslationVerbose | str:
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"""
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Translates audio into English.
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Args:
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file: The audio file object (not file name) translate, in one of these formats: flac,
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mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
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model: ID of the model to use. Only `whisper-1` (which is powered by our open source
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Whisper V2 model) is currently available.
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prompt: An optional text to guide the model's style or continue a previous audio
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segment. The
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[prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
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should be in English.
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response_format: The format of the output, in one of these options: `json`, `text`, `srt`,
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`verbose_json`, or `vtt`.
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temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
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output more random, while lower values like 0.2 will make it more focused and
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deterministic. If set to 0, the model will use
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[log probability](https://en.wikipedia.org/wiki/Log_probability) to
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automatically increase the temperature until certain thresholds are hit.
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extra_headers: Send extra headers
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extra_query: Add additional query parameters to the request
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extra_body: Add additional JSON properties to the request
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timeout: Override the client-level default timeout for this request, in seconds
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"""
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body = deepcopy_minimal(
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{
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"file": file,
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"model": model,
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"prompt": prompt,
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"response_format": response_format,
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"temperature": temperature,
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}
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)
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files = extract_files(cast(Mapping[str, object], body), paths=[["file"]])
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# It should be noted that the actual Content-Type header that will be
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# sent to the server will contain a `boundary` parameter, e.g.
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# multipart/form-data; boundary=---abc--
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extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
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return await self._post(
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"/audio/translations",
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body=await async_maybe_transform(body, translation_create_params.TranslationCreateParams),
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files=files,
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options=make_request_options(
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extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
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),
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cast_to=_get_response_format_type(response_format),
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)
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class TranslationsWithRawResponse:
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def __init__(self, translations: Translations) -> None:
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self._translations = translations
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self.create = _legacy_response.to_raw_response_wrapper(
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translations.create,
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)
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class AsyncTranslationsWithRawResponse:
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def __init__(self, translations: AsyncTranslations) -> None:
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self._translations = translations
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self.create = _legacy_response.async_to_raw_response_wrapper(
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translations.create,
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)
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class TranslationsWithStreamingResponse:
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def __init__(self, translations: Translations) -> None:
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self._translations = translations
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self.create = to_streamed_response_wrapper(
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translations.create,
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)
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class AsyncTranslationsWithStreamingResponse:
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def __init__(self, translations: AsyncTranslations) -> None:
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self._translations = translations
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self.create = async_to_streamed_response_wrapper(
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translations.create,
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)
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def _get_response_format_type(
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response_format: Literal["json", "text", "srt", "verbose_json", "vtt"] | NotGiven,
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) -> type[Translation | TranslationVerbose | str]:
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if isinstance(response_format, NotGiven) or response_format is None: # pyright: ignore[reportUnnecessaryComparison]
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return Translation
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if response_format == "json":
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return Translation
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elif response_format == "verbose_json":
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return TranslationVerbose
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elif response_format == "srt" or response_format == "text" or response_format == "vtt":
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return str
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elif TYPE_CHECKING: # type: ignore[unreachable]
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assert_never(response_format)
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else:
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log.warn("Unexpected audio response format: %s", response_format)
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return Transcription
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