feat: initial project setup with psagentia agent implementation

Add core Python agent with configuration management, environment setup,
and deployment documentation. Includes user/agent profiles, startup
scripts, and dependency management for the psagentia system.
This commit is contained in:
marco
2026-09-03 16:11:46 -03:00
commit e489b6a2e2
3802 changed files with 801329 additions and 0 deletions
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# File generated from our OpenAPI spec by Stainless.
from .audio import (
Audio,
AsyncAudio,
AudioWithRawResponse,
AsyncAudioWithRawResponse,
AudioWithStreamingResponse,
AsyncAudioWithStreamingResponse,
)
from .speech import (
Speech,
AsyncSpeech,
SpeechWithRawResponse,
AsyncSpeechWithRawResponse,
SpeechWithStreamingResponse,
AsyncSpeechWithStreamingResponse,
)
from .translations import (
Translations,
AsyncTranslations,
TranslationsWithRawResponse,
AsyncTranslationsWithRawResponse,
TranslationsWithStreamingResponse,
AsyncTranslationsWithStreamingResponse,
)
from .transcriptions import (
Transcriptions,
AsyncTranscriptions,
TranscriptionsWithRawResponse,
AsyncTranscriptionsWithRawResponse,
TranscriptionsWithStreamingResponse,
AsyncTranscriptionsWithStreamingResponse,
)
__all__ = [
"Transcriptions",
"AsyncTranscriptions",
"TranscriptionsWithRawResponse",
"AsyncTranscriptionsWithRawResponse",
"TranscriptionsWithStreamingResponse",
"AsyncTranscriptionsWithStreamingResponse",
"Translations",
"AsyncTranslations",
"TranslationsWithRawResponse",
"AsyncTranslationsWithRawResponse",
"TranslationsWithStreamingResponse",
"AsyncTranslationsWithStreamingResponse",
"Speech",
"AsyncSpeech",
"SpeechWithRawResponse",
"AsyncSpeechWithRawResponse",
"SpeechWithStreamingResponse",
"AsyncSpeechWithStreamingResponse",
"Audio",
"AsyncAudio",
"AudioWithRawResponse",
"AsyncAudioWithRawResponse",
"AudioWithStreamingResponse",
"AsyncAudioWithStreamingResponse",
]
@@ -0,0 +1,144 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
from .speech import (
Speech,
AsyncSpeech,
SpeechWithRawResponse,
AsyncSpeechWithRawResponse,
SpeechWithStreamingResponse,
AsyncSpeechWithStreamingResponse,
)
from ..._compat import cached_property
from ..._resource import SyncAPIResource, AsyncAPIResource
from .translations import (
Translations,
AsyncTranslations,
TranslationsWithRawResponse,
AsyncTranslationsWithRawResponse,
TranslationsWithStreamingResponse,
AsyncTranslationsWithStreamingResponse,
)
from .transcriptions import (
Transcriptions,
AsyncTranscriptions,
TranscriptionsWithRawResponse,
AsyncTranscriptionsWithRawResponse,
TranscriptionsWithStreamingResponse,
AsyncTranscriptionsWithStreamingResponse,
)
__all__ = ["Audio", "AsyncAudio"]
class Audio(SyncAPIResource):
@cached_property
def transcriptions(self) -> Transcriptions:
return Transcriptions(self._client)
@cached_property
def translations(self) -> Translations:
return Translations(self._client)
@cached_property
def speech(self) -> Speech:
return Speech(self._client)
@cached_property
def with_raw_response(self) -> AudioWithRawResponse:
return AudioWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AudioWithStreamingResponse:
return AudioWithStreamingResponse(self)
class AsyncAudio(AsyncAPIResource):
@cached_property
def transcriptions(self) -> AsyncTranscriptions:
return AsyncTranscriptions(self._client)
@cached_property
def translations(self) -> AsyncTranslations:
return AsyncTranslations(self._client)
@cached_property
def speech(self) -> AsyncSpeech:
return AsyncSpeech(self._client)
@cached_property
def with_raw_response(self) -> AsyncAudioWithRawResponse:
return AsyncAudioWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncAudioWithStreamingResponse:
return AsyncAudioWithStreamingResponse(self)
class AudioWithRawResponse:
def __init__(self, audio: Audio) -> None:
self._audio = audio
@cached_property
def transcriptions(self) -> TranscriptionsWithRawResponse:
return TranscriptionsWithRawResponse(self._audio.transcriptions)
@cached_property
def translations(self) -> TranslationsWithRawResponse:
return TranslationsWithRawResponse(self._audio.translations)
@cached_property
def speech(self) -> SpeechWithRawResponse:
return SpeechWithRawResponse(self._audio.speech)
class AsyncAudioWithRawResponse:
def __init__(self, audio: AsyncAudio) -> None:
self._audio = audio
@cached_property
def transcriptions(self) -> AsyncTranscriptionsWithRawResponse:
return AsyncTranscriptionsWithRawResponse(self._audio.transcriptions)
@cached_property
def translations(self) -> AsyncTranslationsWithRawResponse:
return AsyncTranslationsWithRawResponse(self._audio.translations)
@cached_property
def speech(self) -> AsyncSpeechWithRawResponse:
return AsyncSpeechWithRawResponse(self._audio.speech)
class AudioWithStreamingResponse:
def __init__(self, audio: Audio) -> None:
self._audio = audio
@cached_property
def transcriptions(self) -> TranscriptionsWithStreamingResponse:
return TranscriptionsWithStreamingResponse(self._audio.transcriptions)
@cached_property
def translations(self) -> TranslationsWithStreamingResponse:
return TranslationsWithStreamingResponse(self._audio.translations)
@cached_property
def speech(self) -> SpeechWithStreamingResponse:
return SpeechWithStreamingResponse(self._audio.speech)
class AsyncAudioWithStreamingResponse:
def __init__(self, audio: AsyncAudio) -> None:
self._audio = audio
@cached_property
def transcriptions(self) -> AsyncTranscriptionsWithStreamingResponse:
return AsyncTranscriptionsWithStreamingResponse(self._audio.transcriptions)
@cached_property
def translations(self) -> AsyncTranslationsWithStreamingResponse:
return AsyncTranslationsWithStreamingResponse(self._audio.translations)
@cached_property
def speech(self) -> AsyncSpeechWithStreamingResponse:
return AsyncSpeechWithStreamingResponse(self._audio.speech)
@@ -0,0 +1,206 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
from typing import Union
from typing_extensions import Literal
import httpx
from ... import _legacy_response
from ..._types import NOT_GIVEN, Body, Query, Headers, NotGiven
from ..._utils import maybe_transform
from ..._compat import cached_property
from ..._resource import SyncAPIResource, AsyncAPIResource
from ..._response import (
StreamedBinaryAPIResponse,
AsyncStreamedBinaryAPIResponse,
to_custom_streamed_response_wrapper,
async_to_custom_streamed_response_wrapper,
)
from ...types.audio import speech_create_params
from ..._base_client import (
make_request_options,
)
__all__ = ["Speech", "AsyncSpeech"]
class Speech(SyncAPIResource):
@cached_property
def with_raw_response(self) -> SpeechWithRawResponse:
return SpeechWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> SpeechWithStreamingResponse:
return SpeechWithStreamingResponse(self)
def create(
self,
*,
input: str,
model: Union[str, Literal["tts-1", "tts-1-hd"]],
voice: Literal["alloy", "echo", "fable", "onyx", "nova", "shimmer"],
response_format: Literal["mp3", "opus", "aac", "flac"] | NotGiven = NOT_GIVEN,
speed: float | 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,
) -> _legacy_response.HttpxBinaryResponseContent:
"""
Generates audio from the input text.
Args:
input: The text to generate audio for. The maximum length is 4096 characters.
model:
One of the available [TTS models](https://platform.openai.com/docs/models/tts):
`tts-1` or `tts-1-hd`
voice: The voice to use when generating the audio. Supported voices are `alloy`,
`echo`, `fable`, `onyx`, `nova`, and `shimmer`. Previews of the voices are
available in the
[Text to speech guide](https://platform.openai.com/docs/guides/text-to-speech/voice-options).
response_format: The format to audio in. Supported formats are `mp3`, `opus`, `aac`, and `flac`.
speed: The speed of the generated audio. Select a value from `0.25` to `4.0`. `1.0` is
the default.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
return self._post(
"/audio/speech",
body=maybe_transform(
{
"input": input,
"model": model,
"voice": voice,
"response_format": response_format,
"speed": speed,
},
speech_create_params.SpeechCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=_legacy_response.HttpxBinaryResponseContent,
)
class AsyncSpeech(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncSpeechWithRawResponse:
return AsyncSpeechWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncSpeechWithStreamingResponse:
return AsyncSpeechWithStreamingResponse(self)
async def create(
self,
*,
input: str,
model: Union[str, Literal["tts-1", "tts-1-hd"]],
voice: Literal["alloy", "echo", "fable", "onyx", "nova", "shimmer"],
response_format: Literal["mp3", "opus", "aac", "flac"] | NotGiven = NOT_GIVEN,
speed: float | 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,
) -> _legacy_response.HttpxBinaryResponseContent:
"""
Generates audio from the input text.
Args:
input: The text to generate audio for. The maximum length is 4096 characters.
model:
One of the available [TTS models](https://platform.openai.com/docs/models/tts):
`tts-1` or `tts-1-hd`
voice: The voice to use when generating the audio. Supported voices are `alloy`,
`echo`, `fable`, `onyx`, `nova`, and `shimmer`. Previews of the voices are
available in the
[Text to speech guide](https://platform.openai.com/docs/guides/text-to-speech/voice-options).
response_format: The format to audio in. Supported formats are `mp3`, `opus`, `aac`, and `flac`.
speed: The speed of the generated audio. Select a value from `0.25` to `4.0`. `1.0` is
the default.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
return await self._post(
"/audio/speech",
body=maybe_transform(
{
"input": input,
"model": model,
"voice": voice,
"response_format": response_format,
"speed": speed,
},
speech_create_params.SpeechCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=_legacy_response.HttpxBinaryResponseContent,
)
class SpeechWithRawResponse:
def __init__(self, speech: Speech) -> None:
self._speech = speech
self.create = _legacy_response.to_raw_response_wrapper(
speech.create,
)
class AsyncSpeechWithRawResponse:
def __init__(self, speech: AsyncSpeech) -> None:
self._speech = speech
self.create = _legacy_response.async_to_raw_response_wrapper(
speech.create,
)
class SpeechWithStreamingResponse:
def __init__(self, speech: Speech) -> None:
self._speech = speech
self.create = to_custom_streamed_response_wrapper(
speech.create,
StreamedBinaryAPIResponse,
)
class AsyncSpeechWithStreamingResponse:
def __init__(self, speech: AsyncSpeech) -> None:
self._speech = speech
self.create = async_to_custom_streamed_response_wrapper(
speech.create,
AsyncStreamedBinaryAPIResponse,
)
@@ -0,0 +1,245 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
from typing import List, Union, Mapping, cast
from typing_extensions import Literal
import httpx
from ... import _legacy_response
from ..._types import NOT_GIVEN, Body, Query, Headers, NotGiven, FileTypes
from ..._utils import extract_files, maybe_transform, deepcopy_minimal
from ..._compat import cached_property
from ..._resource import SyncAPIResource, AsyncAPIResource
from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
from ...types.audio import Transcription, transcription_create_params
from ..._base_client import (
make_request_options,
)
__all__ = ["Transcriptions", "AsyncTranscriptions"]
class Transcriptions(SyncAPIResource):
@cached_property
def with_raw_response(self) -> TranscriptionsWithRawResponse:
return TranscriptionsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> TranscriptionsWithStreamingResponse:
return TranscriptionsWithStreamingResponse(self)
def create(
self,
*,
file: FileTypes,
model: Union[str, Literal["whisper-1"]],
language: str | NotGiven = NOT_GIVEN,
prompt: str | NotGiven = NOT_GIVEN,
response_format: Literal["json", "text", "srt", "verbose_json", "vtt"] | NotGiven = NOT_GIVEN,
temperature: float | NotGiven = NOT_GIVEN,
timestamp_granularities: List[Literal["word", "segment"]] | 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,
) -> Transcription:
"""
Transcribes audio into the input language.
Args:
file:
The audio file object (not file name) to transcribe, in one of these formats:
flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
model: ID of the model to use. Only `whisper-1` is currently available.
language: The language of the input audio. Supplying the input language in
[ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will
improve accuracy and latency.
prompt: An optional text to guide the model's style or continue a previous audio
segment. The
[prompt](https://platform.openai.com/docs/guides/speech-to-text/prompting)
should match the audio language.
response_format: The format of the transcript output, in one of these options: `json`, `text`,
`srt`, `verbose_json`, or `vtt`.
temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
output more random, while lower values like 0.2 will make it more focused and
deterministic. If set to 0, the model will use
[log probability](https://en.wikipedia.org/wiki/Log_probability) to
automatically increase the temperature until certain thresholds are hit.
timestamp_granularities: The timestamp granularities to populate for this transcription. Any of these
options: `word`, or `segment`. Note: There is no additional latency for segment
timestamps, but generating word timestamps incurs additional latency.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
body = deepcopy_minimal(
{
"file": file,
"model": model,
"language": language,
"prompt": prompt,
"response_format": response_format,
"temperature": temperature,
"timestamp_granularities": timestamp_granularities,
}
)
files = extract_files(cast(Mapping[str, object], body), paths=[["file"]])
if files:
# It should be noted that the actual Content-Type header that will be
# sent to the server will contain a `boundary` parameter, e.g.
# multipart/form-data; boundary=---abc--
extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
return self._post(
"/audio/transcriptions",
body=maybe_transform(body, transcription_create_params.TranscriptionCreateParams),
files=files,
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Transcription,
)
class AsyncTranscriptions(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncTranscriptionsWithRawResponse:
return AsyncTranscriptionsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncTranscriptionsWithStreamingResponse:
return AsyncTranscriptionsWithStreamingResponse(self)
async def create(
self,
*,
file: FileTypes,
model: Union[str, Literal["whisper-1"]],
language: str | NotGiven = NOT_GIVEN,
prompt: str | NotGiven = NOT_GIVEN,
response_format: Literal["json", "text", "srt", "verbose_json", "vtt"] | NotGiven = NOT_GIVEN,
temperature: float | NotGiven = NOT_GIVEN,
timestamp_granularities: List[Literal["word", "segment"]] | 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,
) -> Transcription:
"""
Transcribes audio into the input language.
Args:
file:
The audio file object (not file name) to transcribe, in one of these formats:
flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
model: ID of the model to use. Only `whisper-1` is currently available.
language: The language of the input audio. Supplying the input language in
[ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will
improve accuracy and latency.
prompt: An optional text to guide the model's style or continue a previous audio
segment. The
[prompt](https://platform.openai.com/docs/guides/speech-to-text/prompting)
should match the audio language.
response_format: The format of the transcript output, in one of these options: `json`, `text`,
`srt`, `verbose_json`, or `vtt`.
temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
output more random, while lower values like 0.2 will make it more focused and
deterministic. If set to 0, the model will use
[log probability](https://en.wikipedia.org/wiki/Log_probability) to
automatically increase the temperature until certain thresholds are hit.
timestamp_granularities: The timestamp granularities to populate for this transcription. Any of these
options: `word`, or `segment`. Note: There is no additional latency for segment
timestamps, but generating word timestamps incurs additional latency.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
body = deepcopy_minimal(
{
"file": file,
"model": model,
"language": language,
"prompt": prompt,
"response_format": response_format,
"temperature": temperature,
"timestamp_granularities": timestamp_granularities,
}
)
files = extract_files(cast(Mapping[str, object], body), paths=[["file"]])
if files:
# It should be noted that the actual Content-Type header that will be
# sent to the server will contain a `boundary` parameter, e.g.
# multipart/form-data; boundary=---abc--
extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
return await self._post(
"/audio/transcriptions",
body=maybe_transform(body, transcription_create_params.TranscriptionCreateParams),
files=files,
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Transcription,
)
class TranscriptionsWithRawResponse:
def __init__(self, transcriptions: Transcriptions) -> None:
self._transcriptions = transcriptions
self.create = _legacy_response.to_raw_response_wrapper(
transcriptions.create,
)
class AsyncTranscriptionsWithRawResponse:
def __init__(self, transcriptions: AsyncTranscriptions) -> None:
self._transcriptions = transcriptions
self.create = _legacy_response.async_to_raw_response_wrapper(
transcriptions.create,
)
class TranscriptionsWithStreamingResponse:
def __init__(self, transcriptions: Transcriptions) -> None:
self._transcriptions = transcriptions
self.create = to_streamed_response_wrapper(
transcriptions.create,
)
class AsyncTranscriptionsWithStreamingResponse:
def __init__(self, transcriptions: AsyncTranscriptions) -> None:
self._transcriptions = transcriptions
self.create = async_to_streamed_response_wrapper(
transcriptions.create,
)
@@ -0,0 +1,219 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
from typing import Union, Mapping, cast
from typing_extensions import Literal
import httpx
from ... import _legacy_response
from ..._types import NOT_GIVEN, Body, Query, Headers, NotGiven, FileTypes
from ..._utils import extract_files, maybe_transform, deepcopy_minimal
from ..._compat import cached_property
from ..._resource import SyncAPIResource, AsyncAPIResource
from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
from ...types.audio import Translation, translation_create_params
from ..._base_client import (
make_request_options,
)
__all__ = ["Translations", "AsyncTranslations"]
class Translations(SyncAPIResource):
@cached_property
def with_raw_response(self) -> TranslationsWithRawResponse:
return TranslationsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> TranslationsWithStreamingResponse:
return TranslationsWithStreamingResponse(self)
def create(
self,
*,
file: FileTypes,
model: Union[str, Literal["whisper-1"]],
prompt: str | NotGiven = NOT_GIVEN,
response_format: str | NotGiven = NOT_GIVEN,
temperature: float | 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,
) -> Translation:
"""
Translates audio into English.
Args:
file: The audio file object (not file name) translate, in one of these formats: flac,
mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
model: ID of the model to use. Only `whisper-1` is currently available.
prompt: An optional text to guide the model's style or continue a previous audio
segment. The
[prompt](https://platform.openai.com/docs/guides/speech-to-text/prompting)
should be in English.
response_format: The format of the transcript output, in one of these options: `json`, `text`,
`srt`, `verbose_json`, or `vtt`.
temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
output more random, while lower values like 0.2 will make it more focused and
deterministic. If set to 0, the model will use
[log probability](https://en.wikipedia.org/wiki/Log_probability) to
automatically increase the temperature until certain thresholds are hit.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
body = deepcopy_minimal(
{
"file": file,
"model": model,
"prompt": prompt,
"response_format": response_format,
"temperature": temperature,
}
)
files = extract_files(cast(Mapping[str, object], body), paths=[["file"]])
if files:
# It should be noted that the actual Content-Type header that will be
# sent to the server will contain a `boundary` parameter, e.g.
# multipart/form-data; boundary=---abc--
extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
return self._post(
"/audio/translations",
body=maybe_transform(body, translation_create_params.TranslationCreateParams),
files=files,
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Translation,
)
class AsyncTranslations(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncTranslationsWithRawResponse:
return AsyncTranslationsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncTranslationsWithStreamingResponse:
return AsyncTranslationsWithStreamingResponse(self)
async def create(
self,
*,
file: FileTypes,
model: Union[str, Literal["whisper-1"]],
prompt: str | NotGiven = NOT_GIVEN,
response_format: str | NotGiven = NOT_GIVEN,
temperature: float | 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,
) -> Translation:
"""
Translates audio into English.
Args:
file: The audio file object (not file name) translate, in one of these formats: flac,
mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
model: ID of the model to use. Only `whisper-1` is currently available.
prompt: An optional text to guide the model's style or continue a previous audio
segment. The
[prompt](https://platform.openai.com/docs/guides/speech-to-text/prompting)
should be in English.
response_format: The format of the transcript output, in one of these options: `json`, `text`,
`srt`, `verbose_json`, or `vtt`.
temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
output more random, while lower values like 0.2 will make it more focused and
deterministic. If set to 0, the model will use
[log probability](https://en.wikipedia.org/wiki/Log_probability) to
automatically increase the temperature until certain thresholds are hit.
extra_headers: Send extra headers
extra_query: Add additional query parameters to the request
extra_body: Add additional JSON properties to the request
timeout: Override the client-level default timeout for this request, in seconds
"""
body = deepcopy_minimal(
{
"file": file,
"model": model,
"prompt": prompt,
"response_format": response_format,
"temperature": temperature,
}
)
files = extract_files(cast(Mapping[str, object], body), paths=[["file"]])
if files:
# It should be noted that the actual Content-Type header that will be
# sent to the server will contain a `boundary` parameter, e.g.
# multipart/form-data; boundary=---abc--
extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
return await self._post(
"/audio/translations",
body=maybe_transform(body, translation_create_params.TranslationCreateParams),
files=files,
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Translation,
)
class TranslationsWithRawResponse:
def __init__(self, translations: Translations) -> None:
self._translations = translations
self.create = _legacy_response.to_raw_response_wrapper(
translations.create,
)
class AsyncTranslationsWithRawResponse:
def __init__(self, translations: AsyncTranslations) -> None:
self._translations = translations
self.create = _legacy_response.async_to_raw_response_wrapper(
translations.create,
)
class TranslationsWithStreamingResponse:
def __init__(self, translations: Translations) -> None:
self._translations = translations
self.create = to_streamed_response_wrapper(
translations.create,
)
class AsyncTranslationsWithStreamingResponse:
def __init__(self, translations: AsyncTranslations) -> None:
self._translations = translations
self.create = async_to_streamed_response_wrapper(
translations.create,
)