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 .beta import (
Beta,
AsyncBeta,
BetaWithRawResponse,
AsyncBetaWithRawResponse,
BetaWithStreamingResponse,
AsyncBetaWithStreamingResponse,
)
from .chat import (
Chat,
AsyncChat,
ChatWithRawResponse,
AsyncChatWithRawResponse,
ChatWithStreamingResponse,
AsyncChatWithStreamingResponse,
)
from .audio import (
Audio,
AsyncAudio,
AudioWithRawResponse,
AsyncAudioWithRawResponse,
AudioWithStreamingResponse,
AsyncAudioWithStreamingResponse,
)
from .files import (
Files,
AsyncFiles,
FilesWithRawResponse,
AsyncFilesWithRawResponse,
FilesWithStreamingResponse,
AsyncFilesWithStreamingResponse,
)
from .images import (
Images,
AsyncImages,
ImagesWithRawResponse,
AsyncImagesWithRawResponse,
ImagesWithStreamingResponse,
AsyncImagesWithStreamingResponse,
)
from .models import (
Models,
AsyncModels,
ModelsWithRawResponse,
AsyncModelsWithRawResponse,
ModelsWithStreamingResponse,
AsyncModelsWithStreamingResponse,
)
from .embeddings import (
Embeddings,
AsyncEmbeddings,
EmbeddingsWithRawResponse,
AsyncEmbeddingsWithRawResponse,
EmbeddingsWithStreamingResponse,
AsyncEmbeddingsWithStreamingResponse,
)
from .completions import (
Completions,
AsyncCompletions,
CompletionsWithRawResponse,
AsyncCompletionsWithRawResponse,
CompletionsWithStreamingResponse,
AsyncCompletionsWithStreamingResponse,
)
from .fine_tuning import (
FineTuning,
AsyncFineTuning,
FineTuningWithRawResponse,
AsyncFineTuningWithRawResponse,
FineTuningWithStreamingResponse,
AsyncFineTuningWithStreamingResponse,
)
from .moderations import (
Moderations,
AsyncModerations,
ModerationsWithRawResponse,
AsyncModerationsWithRawResponse,
ModerationsWithStreamingResponse,
AsyncModerationsWithStreamingResponse,
)
__all__ = [
"Completions",
"AsyncCompletions",
"CompletionsWithRawResponse",
"AsyncCompletionsWithRawResponse",
"CompletionsWithStreamingResponse",
"AsyncCompletionsWithStreamingResponse",
"Chat",
"AsyncChat",
"ChatWithRawResponse",
"AsyncChatWithRawResponse",
"ChatWithStreamingResponse",
"AsyncChatWithStreamingResponse",
"Embeddings",
"AsyncEmbeddings",
"EmbeddingsWithRawResponse",
"AsyncEmbeddingsWithRawResponse",
"EmbeddingsWithStreamingResponse",
"AsyncEmbeddingsWithStreamingResponse",
"Files",
"AsyncFiles",
"FilesWithRawResponse",
"AsyncFilesWithRawResponse",
"FilesWithStreamingResponse",
"AsyncFilesWithStreamingResponse",
"Images",
"AsyncImages",
"ImagesWithRawResponse",
"AsyncImagesWithRawResponse",
"ImagesWithStreamingResponse",
"AsyncImagesWithStreamingResponse",
"Audio",
"AsyncAudio",
"AudioWithRawResponse",
"AsyncAudioWithRawResponse",
"AudioWithStreamingResponse",
"AsyncAudioWithStreamingResponse",
"Moderations",
"AsyncModerations",
"ModerationsWithRawResponse",
"AsyncModerationsWithRawResponse",
"ModerationsWithStreamingResponse",
"AsyncModerationsWithStreamingResponse",
"Models",
"AsyncModels",
"ModelsWithRawResponse",
"AsyncModelsWithRawResponse",
"ModelsWithStreamingResponse",
"AsyncModelsWithStreamingResponse",
"FineTuning",
"AsyncFineTuning",
"FineTuningWithRawResponse",
"AsyncFineTuningWithRawResponse",
"FineTuningWithStreamingResponse",
"AsyncFineTuningWithStreamingResponse",
"Beta",
"AsyncBeta",
"BetaWithRawResponse",
"AsyncBetaWithRawResponse",
"BetaWithStreamingResponse",
"AsyncBetaWithStreamingResponse",
]
@@ -0,0 +1,61 @@
# 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,
)
@@ -0,0 +1,47 @@
# File generated from our OpenAPI spec by Stainless.
from .beta import (
Beta,
AsyncBeta,
BetaWithRawResponse,
AsyncBetaWithRawResponse,
BetaWithStreamingResponse,
AsyncBetaWithStreamingResponse,
)
from .threads import (
Threads,
AsyncThreads,
ThreadsWithRawResponse,
AsyncThreadsWithRawResponse,
ThreadsWithStreamingResponse,
AsyncThreadsWithStreamingResponse,
)
from .assistants import (
Assistants,
AsyncAssistants,
AssistantsWithRawResponse,
AsyncAssistantsWithRawResponse,
AssistantsWithStreamingResponse,
AsyncAssistantsWithStreamingResponse,
)
__all__ = [
"Assistants",
"AsyncAssistants",
"AssistantsWithRawResponse",
"AsyncAssistantsWithRawResponse",
"AssistantsWithStreamingResponse",
"AsyncAssistantsWithStreamingResponse",
"Threads",
"AsyncThreads",
"ThreadsWithRawResponse",
"AsyncThreadsWithRawResponse",
"ThreadsWithStreamingResponse",
"AsyncThreadsWithStreamingResponse",
"Beta",
"AsyncBeta",
"BetaWithRawResponse",
"AsyncBetaWithRawResponse",
"BetaWithStreamingResponse",
"AsyncBetaWithStreamingResponse",
]
@@ -0,0 +1,33 @@
# File generated from our OpenAPI spec by Stainless.
from .files import (
Files,
AsyncFiles,
FilesWithRawResponse,
AsyncFilesWithRawResponse,
FilesWithStreamingResponse,
AsyncFilesWithStreamingResponse,
)
from .assistants import (
Assistants,
AsyncAssistants,
AssistantsWithRawResponse,
AsyncAssistantsWithRawResponse,
AssistantsWithStreamingResponse,
AsyncAssistantsWithStreamingResponse,
)
__all__ = [
"Files",
"AsyncFiles",
"FilesWithRawResponse",
"AsyncFilesWithRawResponse",
"FilesWithStreamingResponse",
"AsyncFilesWithStreamingResponse",
"Assistants",
"AsyncAssistants",
"AssistantsWithRawResponse",
"AsyncAssistantsWithRawResponse",
"AssistantsWithStreamingResponse",
"AsyncAssistantsWithStreamingResponse",
]
@@ -0,0 +1,743 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
from typing import List, Iterable, Optional
from typing_extensions import Literal
import httpx
from .... import _legacy_response
from .files import (
Files,
AsyncFiles,
FilesWithRawResponse,
AsyncFilesWithRawResponse,
FilesWithStreamingResponse,
AsyncFilesWithStreamingResponse,
)
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 to_streamed_response_wrapper, async_to_streamed_response_wrapper
from ....pagination import SyncCursorPage, AsyncCursorPage
from ....types.beta import (
Assistant,
AssistantDeleted,
assistant_list_params,
assistant_create_params,
assistant_update_params,
)
from ...._base_client import (
AsyncPaginator,
make_request_options,
)
__all__ = ["Assistants", "AsyncAssistants"]
class Assistants(SyncAPIResource):
@cached_property
def files(self) -> Files:
return Files(self._client)
@cached_property
def with_raw_response(self) -> AssistantsWithRawResponse:
return AssistantsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AssistantsWithStreamingResponse:
return AssistantsWithStreamingResponse(self)
def create(
self,
*,
model: str,
description: Optional[str] | NotGiven = NOT_GIVEN,
file_ids: List[str] | NotGiven = NOT_GIVEN,
instructions: Optional[str] | NotGiven = NOT_GIVEN,
metadata: Optional[object] | NotGiven = NOT_GIVEN,
name: Optional[str] | NotGiven = NOT_GIVEN,
tools: Iterable[assistant_create_params.Tool] | 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,
) -> Assistant:
"""
Create an assistant with a model and instructions.
Args:
model: ID of the model to use. You can use the
[List models](https://platform.openai.com/docs/api-reference/models/list) API to
see all of your available models, or see our
[Model overview](https://platform.openai.com/docs/models/overview) for
descriptions of them.
description: The description of the assistant. The maximum length is 512 characters.
file_ids: A list of [file](https://platform.openai.com/docs/api-reference/files) IDs
attached to this assistant. There can be a maximum of 20 files attached to the
assistant. Files are ordered by their creation date in ascending order.
instructions: The system instructions that the assistant uses. The maximum length is 32768
characters.
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
name: The name of the assistant. The maximum length is 256 characters.
tools: A list of tool enabled on the assistant. There can be a maximum of 128 tools per
assistant. Tools can be of types `code_interpreter`, `retrieval`, or `function`.
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
"""
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._post(
"/assistants",
body=maybe_transform(
{
"model": model,
"description": description,
"file_ids": file_ids,
"instructions": instructions,
"metadata": metadata,
"name": name,
"tools": tools,
},
assistant_create_params.AssistantCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Assistant,
)
def retrieve(
self,
assistant_id: str,
*,
# 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,
) -> Assistant:
"""
Retrieves an assistant.
Args:
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
"""
if not assistant_id:
raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get(
f"/assistants/{assistant_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Assistant,
)
def update(
self,
assistant_id: str,
*,
description: Optional[str] | NotGiven = NOT_GIVEN,
file_ids: List[str] | NotGiven = NOT_GIVEN,
instructions: Optional[str] | NotGiven = NOT_GIVEN,
metadata: Optional[object] | NotGiven = NOT_GIVEN,
model: str | NotGiven = NOT_GIVEN,
name: Optional[str] | NotGiven = NOT_GIVEN,
tools: Iterable[assistant_update_params.Tool] | 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,
) -> Assistant:
"""Modifies an assistant.
Args:
description: The description of the assistant.
The maximum length is 512 characters.
file_ids: A list of [File](https://platform.openai.com/docs/api-reference/files) IDs
attached to this assistant. There can be a maximum of 20 files attached to the
assistant. Files are ordered by their creation date in ascending order. If a
file was previously attached to the list but does not show up in the list, it
will be deleted from the assistant.
instructions: The system instructions that the assistant uses. The maximum length is 32768
characters.
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
model: ID of the model to use. You can use the
[List models](https://platform.openai.com/docs/api-reference/models/list) API to
see all of your available models, or see our
[Model overview](https://platform.openai.com/docs/models/overview) for
descriptions of them.
name: The name of the assistant. The maximum length is 256 characters.
tools: A list of tool enabled on the assistant. There can be a maximum of 128 tools per
assistant. Tools can be of types `code_interpreter`, `retrieval`, or `function`.
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
"""
if not assistant_id:
raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._post(
f"/assistants/{assistant_id}",
body=maybe_transform(
{
"description": description,
"file_ids": file_ids,
"instructions": instructions,
"metadata": metadata,
"model": model,
"name": name,
"tools": tools,
},
assistant_update_params.AssistantUpdateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Assistant,
)
def list(
self,
*,
after: str | NotGiven = NOT_GIVEN,
before: str | NotGiven = NOT_GIVEN,
limit: int | NotGiven = NOT_GIVEN,
order: Literal["asc", "desc"] | 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,
) -> SyncCursorPage[Assistant]:
"""Returns a list of assistants.
Args:
after: A cursor for use in pagination.
`after` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include after=obj_foo in order to
fetch the next page of the list.
before: A cursor for use in pagination. `before` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include before=obj_foo in order to
fetch the previous page of the list.
limit: A limit on the number of objects to be returned. Limit can range between 1 and
100, and the default is 20.
order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
order and `desc` for descending order.
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
"""
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get_api_list(
"/assistants",
page=SyncCursorPage[Assistant],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"before": before,
"limit": limit,
"order": order,
},
assistant_list_params.AssistantListParams,
),
),
model=Assistant,
)
def delete(
self,
assistant_id: str,
*,
# 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,
) -> AssistantDeleted:
"""
Delete an assistant.
Args:
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
"""
if not assistant_id:
raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._delete(
f"/assistants/{assistant_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=AssistantDeleted,
)
class AsyncAssistants(AsyncAPIResource):
@cached_property
def files(self) -> AsyncFiles:
return AsyncFiles(self._client)
@cached_property
def with_raw_response(self) -> AsyncAssistantsWithRawResponse:
return AsyncAssistantsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncAssistantsWithStreamingResponse:
return AsyncAssistantsWithStreamingResponse(self)
async def create(
self,
*,
model: str,
description: Optional[str] | NotGiven = NOT_GIVEN,
file_ids: List[str] | NotGiven = NOT_GIVEN,
instructions: Optional[str] | NotGiven = NOT_GIVEN,
metadata: Optional[object] | NotGiven = NOT_GIVEN,
name: Optional[str] | NotGiven = NOT_GIVEN,
tools: Iterable[assistant_create_params.Tool] | 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,
) -> Assistant:
"""
Create an assistant with a model and instructions.
Args:
model: ID of the model to use. You can use the
[List models](https://platform.openai.com/docs/api-reference/models/list) API to
see all of your available models, or see our
[Model overview](https://platform.openai.com/docs/models/overview) for
descriptions of them.
description: The description of the assistant. The maximum length is 512 characters.
file_ids: A list of [file](https://platform.openai.com/docs/api-reference/files) IDs
attached to this assistant. There can be a maximum of 20 files attached to the
assistant. Files are ordered by their creation date in ascending order.
instructions: The system instructions that the assistant uses. The maximum length is 32768
characters.
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
name: The name of the assistant. The maximum length is 256 characters.
tools: A list of tool enabled on the assistant. There can be a maximum of 128 tools per
assistant. Tools can be of types `code_interpreter`, `retrieval`, or `function`.
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
"""
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._post(
"/assistants",
body=maybe_transform(
{
"model": model,
"description": description,
"file_ids": file_ids,
"instructions": instructions,
"metadata": metadata,
"name": name,
"tools": tools,
},
assistant_create_params.AssistantCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Assistant,
)
async def retrieve(
self,
assistant_id: str,
*,
# 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,
) -> Assistant:
"""
Retrieves an assistant.
Args:
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
"""
if not assistant_id:
raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._get(
f"/assistants/{assistant_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Assistant,
)
async def update(
self,
assistant_id: str,
*,
description: Optional[str] | NotGiven = NOT_GIVEN,
file_ids: List[str] | NotGiven = NOT_GIVEN,
instructions: Optional[str] | NotGiven = NOT_GIVEN,
metadata: Optional[object] | NotGiven = NOT_GIVEN,
model: str | NotGiven = NOT_GIVEN,
name: Optional[str] | NotGiven = NOT_GIVEN,
tools: Iterable[assistant_update_params.Tool] | 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,
) -> Assistant:
"""Modifies an assistant.
Args:
description: The description of the assistant.
The maximum length is 512 characters.
file_ids: A list of [File](https://platform.openai.com/docs/api-reference/files) IDs
attached to this assistant. There can be a maximum of 20 files attached to the
assistant. Files are ordered by their creation date in ascending order. If a
file was previously attached to the list but does not show up in the list, it
will be deleted from the assistant.
instructions: The system instructions that the assistant uses. The maximum length is 32768
characters.
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
model: ID of the model to use. You can use the
[List models](https://platform.openai.com/docs/api-reference/models/list) API to
see all of your available models, or see our
[Model overview](https://platform.openai.com/docs/models/overview) for
descriptions of them.
name: The name of the assistant. The maximum length is 256 characters.
tools: A list of tool enabled on the assistant. There can be a maximum of 128 tools per
assistant. Tools can be of types `code_interpreter`, `retrieval`, or `function`.
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
"""
if not assistant_id:
raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._post(
f"/assistants/{assistant_id}",
body=maybe_transform(
{
"description": description,
"file_ids": file_ids,
"instructions": instructions,
"metadata": metadata,
"model": model,
"name": name,
"tools": tools,
},
assistant_update_params.AssistantUpdateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Assistant,
)
def list(
self,
*,
after: str | NotGiven = NOT_GIVEN,
before: str | NotGiven = NOT_GIVEN,
limit: int | NotGiven = NOT_GIVEN,
order: Literal["asc", "desc"] | 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,
) -> AsyncPaginator[Assistant, AsyncCursorPage[Assistant]]:
"""Returns a list of assistants.
Args:
after: A cursor for use in pagination.
`after` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include after=obj_foo in order to
fetch the next page of the list.
before: A cursor for use in pagination. `before` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include before=obj_foo in order to
fetch the previous page of the list.
limit: A limit on the number of objects to be returned. Limit can range between 1 and
100, and the default is 20.
order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
order and `desc` for descending order.
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
"""
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get_api_list(
"/assistants",
page=AsyncCursorPage[Assistant],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"before": before,
"limit": limit,
"order": order,
},
assistant_list_params.AssistantListParams,
),
),
model=Assistant,
)
async def delete(
self,
assistant_id: str,
*,
# 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,
) -> AssistantDeleted:
"""
Delete an assistant.
Args:
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
"""
if not assistant_id:
raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._delete(
f"/assistants/{assistant_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=AssistantDeleted,
)
class AssistantsWithRawResponse:
def __init__(self, assistants: Assistants) -> None:
self._assistants = assistants
self.create = _legacy_response.to_raw_response_wrapper(
assistants.create,
)
self.retrieve = _legacy_response.to_raw_response_wrapper(
assistants.retrieve,
)
self.update = _legacy_response.to_raw_response_wrapper(
assistants.update,
)
self.list = _legacy_response.to_raw_response_wrapper(
assistants.list,
)
self.delete = _legacy_response.to_raw_response_wrapper(
assistants.delete,
)
@cached_property
def files(self) -> FilesWithRawResponse:
return FilesWithRawResponse(self._assistants.files)
class AsyncAssistantsWithRawResponse:
def __init__(self, assistants: AsyncAssistants) -> None:
self._assistants = assistants
self.create = _legacy_response.async_to_raw_response_wrapper(
assistants.create,
)
self.retrieve = _legacy_response.async_to_raw_response_wrapper(
assistants.retrieve,
)
self.update = _legacy_response.async_to_raw_response_wrapper(
assistants.update,
)
self.list = _legacy_response.async_to_raw_response_wrapper(
assistants.list,
)
self.delete = _legacy_response.async_to_raw_response_wrapper(
assistants.delete,
)
@cached_property
def files(self) -> AsyncFilesWithRawResponse:
return AsyncFilesWithRawResponse(self._assistants.files)
class AssistantsWithStreamingResponse:
def __init__(self, assistants: Assistants) -> None:
self._assistants = assistants
self.create = to_streamed_response_wrapper(
assistants.create,
)
self.retrieve = to_streamed_response_wrapper(
assistants.retrieve,
)
self.update = to_streamed_response_wrapper(
assistants.update,
)
self.list = to_streamed_response_wrapper(
assistants.list,
)
self.delete = to_streamed_response_wrapper(
assistants.delete,
)
@cached_property
def files(self) -> FilesWithStreamingResponse:
return FilesWithStreamingResponse(self._assistants.files)
class AsyncAssistantsWithStreamingResponse:
def __init__(self, assistants: AsyncAssistants) -> None:
self._assistants = assistants
self.create = async_to_streamed_response_wrapper(
assistants.create,
)
self.retrieve = async_to_streamed_response_wrapper(
assistants.retrieve,
)
self.update = async_to_streamed_response_wrapper(
assistants.update,
)
self.list = async_to_streamed_response_wrapper(
assistants.list,
)
self.delete = async_to_streamed_response_wrapper(
assistants.delete,
)
@cached_property
def files(self) -> AsyncFilesWithStreamingResponse:
return AsyncFilesWithStreamingResponse(self._assistants.files)
@@ -0,0 +1,480 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
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 to_streamed_response_wrapper, async_to_streamed_response_wrapper
from ....pagination import SyncCursorPage, AsyncCursorPage
from ...._base_client import (
AsyncPaginator,
make_request_options,
)
from ....types.beta.assistants import AssistantFile, FileDeleteResponse, file_list_params, file_create_params
__all__ = ["Files", "AsyncFiles"]
class Files(SyncAPIResource):
@cached_property
def with_raw_response(self) -> FilesWithRawResponse:
return FilesWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> FilesWithStreamingResponse:
return FilesWithStreamingResponse(self)
def create(
self,
assistant_id: str,
*,
file_id: str,
# 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,
) -> AssistantFile:
"""
Create an assistant file by attaching a
[File](https://platform.openai.com/docs/api-reference/files) to an
[assistant](https://platform.openai.com/docs/api-reference/assistants).
Args:
file_id: A [File](https://platform.openai.com/docs/api-reference/files) ID (with
`purpose="assistants"`) that the assistant should use. Useful for tools like
`retrieval` and `code_interpreter` that can access files.
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
"""
if not assistant_id:
raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._post(
f"/assistants/{assistant_id}/files",
body=maybe_transform({"file_id": file_id}, file_create_params.FileCreateParams),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=AssistantFile,
)
def retrieve(
self,
file_id: str,
*,
assistant_id: str,
# 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,
) -> AssistantFile:
"""
Retrieves an AssistantFile.
Args:
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
"""
if not assistant_id:
raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
if not file_id:
raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get(
f"/assistants/{assistant_id}/files/{file_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=AssistantFile,
)
def list(
self,
assistant_id: str,
*,
after: str | NotGiven = NOT_GIVEN,
before: str | NotGiven = NOT_GIVEN,
limit: int | NotGiven = NOT_GIVEN,
order: Literal["asc", "desc"] | 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,
) -> SyncCursorPage[AssistantFile]:
"""
Returns a list of assistant files.
Args:
after: A cursor for use in pagination. `after` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include after=obj_foo in order to
fetch the next page of the list.
before: A cursor for use in pagination. `before` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include before=obj_foo in order to
fetch the previous page of the list.
limit: A limit on the number of objects to be returned. Limit can range between 1 and
100, and the default is 20.
order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
order and `desc` for descending order.
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
"""
if not assistant_id:
raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get_api_list(
f"/assistants/{assistant_id}/files",
page=SyncCursorPage[AssistantFile],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"before": before,
"limit": limit,
"order": order,
},
file_list_params.FileListParams,
),
),
model=AssistantFile,
)
def delete(
self,
file_id: str,
*,
assistant_id: str,
# 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,
) -> FileDeleteResponse:
"""
Delete an assistant file.
Args:
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
"""
if not assistant_id:
raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
if not file_id:
raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._delete(
f"/assistants/{assistant_id}/files/{file_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=FileDeleteResponse,
)
class AsyncFiles(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncFilesWithRawResponse:
return AsyncFilesWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncFilesWithStreamingResponse:
return AsyncFilesWithStreamingResponse(self)
async def create(
self,
assistant_id: str,
*,
file_id: str,
# 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,
) -> AssistantFile:
"""
Create an assistant file by attaching a
[File](https://platform.openai.com/docs/api-reference/files) to an
[assistant](https://platform.openai.com/docs/api-reference/assistants).
Args:
file_id: A [File](https://platform.openai.com/docs/api-reference/files) ID (with
`purpose="assistants"`) that the assistant should use. Useful for tools like
`retrieval` and `code_interpreter` that can access files.
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
"""
if not assistant_id:
raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._post(
f"/assistants/{assistant_id}/files",
body=maybe_transform({"file_id": file_id}, file_create_params.FileCreateParams),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=AssistantFile,
)
async def retrieve(
self,
file_id: str,
*,
assistant_id: str,
# 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,
) -> AssistantFile:
"""
Retrieves an AssistantFile.
Args:
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
"""
if not assistant_id:
raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
if not file_id:
raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._get(
f"/assistants/{assistant_id}/files/{file_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=AssistantFile,
)
def list(
self,
assistant_id: str,
*,
after: str | NotGiven = NOT_GIVEN,
before: str | NotGiven = NOT_GIVEN,
limit: int | NotGiven = NOT_GIVEN,
order: Literal["asc", "desc"] | 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,
) -> AsyncPaginator[AssistantFile, AsyncCursorPage[AssistantFile]]:
"""
Returns a list of assistant files.
Args:
after: A cursor for use in pagination. `after` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include after=obj_foo in order to
fetch the next page of the list.
before: A cursor for use in pagination. `before` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include before=obj_foo in order to
fetch the previous page of the list.
limit: A limit on the number of objects to be returned. Limit can range between 1 and
100, and the default is 20.
order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
order and `desc` for descending order.
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
"""
if not assistant_id:
raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get_api_list(
f"/assistants/{assistant_id}/files",
page=AsyncCursorPage[AssistantFile],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"before": before,
"limit": limit,
"order": order,
},
file_list_params.FileListParams,
),
),
model=AssistantFile,
)
async def delete(
self,
file_id: str,
*,
assistant_id: str,
# 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,
) -> FileDeleteResponse:
"""
Delete an assistant file.
Args:
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
"""
if not assistant_id:
raise ValueError(f"Expected a non-empty value for `assistant_id` but received {assistant_id!r}")
if not file_id:
raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._delete(
f"/assistants/{assistant_id}/files/{file_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=FileDeleteResponse,
)
class FilesWithRawResponse:
def __init__(self, files: Files) -> None:
self._files = files
self.create = _legacy_response.to_raw_response_wrapper(
files.create,
)
self.retrieve = _legacy_response.to_raw_response_wrapper(
files.retrieve,
)
self.list = _legacy_response.to_raw_response_wrapper(
files.list,
)
self.delete = _legacy_response.to_raw_response_wrapper(
files.delete,
)
class AsyncFilesWithRawResponse:
def __init__(self, files: AsyncFiles) -> None:
self._files = files
self.create = _legacy_response.async_to_raw_response_wrapper(
files.create,
)
self.retrieve = _legacy_response.async_to_raw_response_wrapper(
files.retrieve,
)
self.list = _legacy_response.async_to_raw_response_wrapper(
files.list,
)
self.delete = _legacy_response.async_to_raw_response_wrapper(
files.delete,
)
class FilesWithStreamingResponse:
def __init__(self, files: Files) -> None:
self._files = files
self.create = to_streamed_response_wrapper(
files.create,
)
self.retrieve = to_streamed_response_wrapper(
files.retrieve,
)
self.list = to_streamed_response_wrapper(
files.list,
)
self.delete = to_streamed_response_wrapper(
files.delete,
)
class AsyncFilesWithStreamingResponse:
def __init__(self, files: AsyncFiles) -> None:
self._files = files
self.create = async_to_streamed_response_wrapper(
files.create,
)
self.retrieve = async_to_streamed_response_wrapper(
files.retrieve,
)
self.list = async_to_streamed_response_wrapper(
files.list,
)
self.delete = async_to_streamed_response_wrapper(
files.delete,
)
@@ -0,0 +1,114 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
from .threads import (
Threads,
AsyncThreads,
ThreadsWithRawResponse,
AsyncThreadsWithRawResponse,
ThreadsWithStreamingResponse,
AsyncThreadsWithStreamingResponse,
)
from ..._compat import cached_property
from .assistants import (
Assistants,
AsyncAssistants,
AssistantsWithRawResponse,
AsyncAssistantsWithRawResponse,
AssistantsWithStreamingResponse,
AsyncAssistantsWithStreamingResponse,
)
from ..._resource import SyncAPIResource, AsyncAPIResource
from .threads.threads import Threads, AsyncThreads
from .assistants.assistants import Assistants, AsyncAssistants
__all__ = ["Beta", "AsyncBeta"]
class Beta(SyncAPIResource):
@cached_property
def assistants(self) -> Assistants:
return Assistants(self._client)
@cached_property
def threads(self) -> Threads:
return Threads(self._client)
@cached_property
def with_raw_response(self) -> BetaWithRawResponse:
return BetaWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> BetaWithStreamingResponse:
return BetaWithStreamingResponse(self)
class AsyncBeta(AsyncAPIResource):
@cached_property
def assistants(self) -> AsyncAssistants:
return AsyncAssistants(self._client)
@cached_property
def threads(self) -> AsyncThreads:
return AsyncThreads(self._client)
@cached_property
def with_raw_response(self) -> AsyncBetaWithRawResponse:
return AsyncBetaWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncBetaWithStreamingResponse:
return AsyncBetaWithStreamingResponse(self)
class BetaWithRawResponse:
def __init__(self, beta: Beta) -> None:
self._beta = beta
@cached_property
def assistants(self) -> AssistantsWithRawResponse:
return AssistantsWithRawResponse(self._beta.assistants)
@cached_property
def threads(self) -> ThreadsWithRawResponse:
return ThreadsWithRawResponse(self._beta.threads)
class AsyncBetaWithRawResponse:
def __init__(self, beta: AsyncBeta) -> None:
self._beta = beta
@cached_property
def assistants(self) -> AsyncAssistantsWithRawResponse:
return AsyncAssistantsWithRawResponse(self._beta.assistants)
@cached_property
def threads(self) -> AsyncThreadsWithRawResponse:
return AsyncThreadsWithRawResponse(self._beta.threads)
class BetaWithStreamingResponse:
def __init__(self, beta: Beta) -> None:
self._beta = beta
@cached_property
def assistants(self) -> AssistantsWithStreamingResponse:
return AssistantsWithStreamingResponse(self._beta.assistants)
@cached_property
def threads(self) -> ThreadsWithStreamingResponse:
return ThreadsWithStreamingResponse(self._beta.threads)
class AsyncBetaWithStreamingResponse:
def __init__(self, beta: AsyncBeta) -> None:
self._beta = beta
@cached_property
def assistants(self) -> AsyncAssistantsWithStreamingResponse:
return AsyncAssistantsWithStreamingResponse(self._beta.assistants)
@cached_property
def threads(self) -> AsyncThreadsWithStreamingResponse:
return AsyncThreadsWithStreamingResponse(self._beta.threads)
@@ -0,0 +1,47 @@
# File generated from our OpenAPI spec by Stainless.
from .runs import (
Runs,
AsyncRuns,
RunsWithRawResponse,
AsyncRunsWithRawResponse,
RunsWithStreamingResponse,
AsyncRunsWithStreamingResponse,
)
from .threads import (
Threads,
AsyncThreads,
ThreadsWithRawResponse,
AsyncThreadsWithRawResponse,
ThreadsWithStreamingResponse,
AsyncThreadsWithStreamingResponse,
)
from .messages import (
Messages,
AsyncMessages,
MessagesWithRawResponse,
AsyncMessagesWithRawResponse,
MessagesWithStreamingResponse,
AsyncMessagesWithStreamingResponse,
)
__all__ = [
"Runs",
"AsyncRuns",
"RunsWithRawResponse",
"AsyncRunsWithRawResponse",
"RunsWithStreamingResponse",
"AsyncRunsWithStreamingResponse",
"Messages",
"AsyncMessages",
"MessagesWithRawResponse",
"AsyncMessagesWithRawResponse",
"MessagesWithStreamingResponse",
"AsyncMessagesWithStreamingResponse",
"Threads",
"AsyncThreads",
"ThreadsWithRawResponse",
"AsyncThreadsWithRawResponse",
"ThreadsWithStreamingResponse",
"AsyncThreadsWithStreamingResponse",
]
@@ -0,0 +1,33 @@
# File generated from our OpenAPI spec by Stainless.
from .files import (
Files,
AsyncFiles,
FilesWithRawResponse,
AsyncFilesWithRawResponse,
FilesWithStreamingResponse,
AsyncFilesWithStreamingResponse,
)
from .messages import (
Messages,
AsyncMessages,
MessagesWithRawResponse,
AsyncMessagesWithRawResponse,
MessagesWithStreamingResponse,
AsyncMessagesWithStreamingResponse,
)
__all__ = [
"Files",
"AsyncFiles",
"FilesWithRawResponse",
"AsyncFilesWithRawResponse",
"FilesWithStreamingResponse",
"AsyncFilesWithStreamingResponse",
"Messages",
"AsyncMessages",
"MessagesWithRawResponse",
"AsyncMessagesWithRawResponse",
"MessagesWithStreamingResponse",
"AsyncMessagesWithStreamingResponse",
]
@@ -0,0 +1,312 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
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 to_streamed_response_wrapper, async_to_streamed_response_wrapper
from .....pagination import SyncCursorPage, AsyncCursorPage
from ....._base_client import (
AsyncPaginator,
make_request_options,
)
from .....types.beta.threads.messages import MessageFile, file_list_params
__all__ = ["Files", "AsyncFiles"]
class Files(SyncAPIResource):
@cached_property
def with_raw_response(self) -> FilesWithRawResponse:
return FilesWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> FilesWithStreamingResponse:
return FilesWithStreamingResponse(self)
def retrieve(
self,
file_id: str,
*,
thread_id: str,
message_id: str,
# 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,
) -> MessageFile:
"""
Retrieves a message file.
Args:
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not message_id:
raise ValueError(f"Expected a non-empty value for `message_id` but received {message_id!r}")
if not file_id:
raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get(
f"/threads/{thread_id}/messages/{message_id}/files/{file_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=MessageFile,
)
def list(
self,
message_id: str,
*,
thread_id: str,
after: str | NotGiven = NOT_GIVEN,
before: str | NotGiven = NOT_GIVEN,
limit: int | NotGiven = NOT_GIVEN,
order: Literal["asc", "desc"] | 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,
) -> SyncCursorPage[MessageFile]:
"""Returns a list of message files.
Args:
after: A cursor for use in pagination.
`after` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include after=obj_foo in order to
fetch the next page of the list.
before: A cursor for use in pagination. `before` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include before=obj_foo in order to
fetch the previous page of the list.
limit: A limit on the number of objects to be returned. Limit can range between 1 and
100, and the default is 20.
order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
order and `desc` for descending order.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not message_id:
raise ValueError(f"Expected a non-empty value for `message_id` but received {message_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get_api_list(
f"/threads/{thread_id}/messages/{message_id}/files",
page=SyncCursorPage[MessageFile],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"before": before,
"limit": limit,
"order": order,
},
file_list_params.FileListParams,
),
),
model=MessageFile,
)
class AsyncFiles(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncFilesWithRawResponse:
return AsyncFilesWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncFilesWithStreamingResponse:
return AsyncFilesWithStreamingResponse(self)
async def retrieve(
self,
file_id: str,
*,
thread_id: str,
message_id: str,
# 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,
) -> MessageFile:
"""
Retrieves a message file.
Args:
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not message_id:
raise ValueError(f"Expected a non-empty value for `message_id` but received {message_id!r}")
if not file_id:
raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._get(
f"/threads/{thread_id}/messages/{message_id}/files/{file_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=MessageFile,
)
def list(
self,
message_id: str,
*,
thread_id: str,
after: str | NotGiven = NOT_GIVEN,
before: str | NotGiven = NOT_GIVEN,
limit: int | NotGiven = NOT_GIVEN,
order: Literal["asc", "desc"] | 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,
) -> AsyncPaginator[MessageFile, AsyncCursorPage[MessageFile]]:
"""Returns a list of message files.
Args:
after: A cursor for use in pagination.
`after` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include after=obj_foo in order to
fetch the next page of the list.
before: A cursor for use in pagination. `before` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include before=obj_foo in order to
fetch the previous page of the list.
limit: A limit on the number of objects to be returned. Limit can range between 1 and
100, and the default is 20.
order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
order and `desc` for descending order.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not message_id:
raise ValueError(f"Expected a non-empty value for `message_id` but received {message_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get_api_list(
f"/threads/{thread_id}/messages/{message_id}/files",
page=AsyncCursorPage[MessageFile],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"before": before,
"limit": limit,
"order": order,
},
file_list_params.FileListParams,
),
),
model=MessageFile,
)
class FilesWithRawResponse:
def __init__(self, files: Files) -> None:
self._files = files
self.retrieve = _legacy_response.to_raw_response_wrapper(
files.retrieve,
)
self.list = _legacy_response.to_raw_response_wrapper(
files.list,
)
class AsyncFilesWithRawResponse:
def __init__(self, files: AsyncFiles) -> None:
self._files = files
self.retrieve = _legacy_response.async_to_raw_response_wrapper(
files.retrieve,
)
self.list = _legacy_response.async_to_raw_response_wrapper(
files.list,
)
class FilesWithStreamingResponse:
def __init__(self, files: Files) -> None:
self._files = files
self.retrieve = to_streamed_response_wrapper(
files.retrieve,
)
self.list = to_streamed_response_wrapper(
files.list,
)
class AsyncFilesWithStreamingResponse:
def __init__(self, files: AsyncFiles) -> None:
self._files = files
self.retrieve = async_to_streamed_response_wrapper(
files.retrieve,
)
self.list = async_to_streamed_response_wrapper(
files.list,
)
@@ -0,0 +1,567 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
from typing import List, Optional
from typing_extensions import Literal
import httpx
from ..... import _legacy_response
from .files import (
Files,
AsyncFiles,
FilesWithRawResponse,
AsyncFilesWithRawResponse,
FilesWithStreamingResponse,
AsyncFilesWithStreamingResponse,
)
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 to_streamed_response_wrapper, async_to_streamed_response_wrapper
from .....pagination import SyncCursorPage, AsyncCursorPage
from ....._base_client import (
AsyncPaginator,
make_request_options,
)
from .....types.beta.threads import ThreadMessage, message_list_params, message_create_params, message_update_params
__all__ = ["Messages", "AsyncMessages"]
class Messages(SyncAPIResource):
@cached_property
def files(self) -> Files:
return Files(self._client)
@cached_property
def with_raw_response(self) -> MessagesWithRawResponse:
return MessagesWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> MessagesWithStreamingResponse:
return MessagesWithStreamingResponse(self)
def create(
self,
thread_id: str,
*,
content: str,
role: Literal["user"],
file_ids: List[str] | NotGiven = NOT_GIVEN,
metadata: Optional[object] | 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,
) -> ThreadMessage:
"""
Create a message.
Args:
content: The content of the message.
role: The role of the entity that is creating the message. Currently only `user` is
supported.
file_ids: A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that
the message should use. There can be a maximum of 10 files attached to a
message. Useful for tools like `retrieval` and `code_interpreter` that can
access and use files.
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._post(
f"/threads/{thread_id}/messages",
body=maybe_transform(
{
"content": content,
"role": role,
"file_ids": file_ids,
"metadata": metadata,
},
message_create_params.MessageCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ThreadMessage,
)
def retrieve(
self,
message_id: str,
*,
thread_id: str,
# 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,
) -> ThreadMessage:
"""
Retrieve a message.
Args:
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not message_id:
raise ValueError(f"Expected a non-empty value for `message_id` but received {message_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get(
f"/threads/{thread_id}/messages/{message_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ThreadMessage,
)
def update(
self,
message_id: str,
*,
thread_id: str,
metadata: Optional[object] | 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,
) -> ThreadMessage:
"""
Modifies a message.
Args:
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not message_id:
raise ValueError(f"Expected a non-empty value for `message_id` but received {message_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._post(
f"/threads/{thread_id}/messages/{message_id}",
body=maybe_transform({"metadata": metadata}, message_update_params.MessageUpdateParams),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ThreadMessage,
)
def list(
self,
thread_id: str,
*,
after: str | NotGiven = NOT_GIVEN,
before: str | NotGiven = NOT_GIVEN,
limit: int | NotGiven = NOT_GIVEN,
order: Literal["asc", "desc"] | 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,
) -> SyncCursorPage[ThreadMessage]:
"""
Returns a list of messages for a given thread.
Args:
after: A cursor for use in pagination. `after` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include after=obj_foo in order to
fetch the next page of the list.
before: A cursor for use in pagination. `before` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include before=obj_foo in order to
fetch the previous page of the list.
limit: A limit on the number of objects to be returned. Limit can range between 1 and
100, and the default is 20.
order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
order and `desc` for descending order.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get_api_list(
f"/threads/{thread_id}/messages",
page=SyncCursorPage[ThreadMessage],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"before": before,
"limit": limit,
"order": order,
},
message_list_params.MessageListParams,
),
),
model=ThreadMessage,
)
class AsyncMessages(AsyncAPIResource):
@cached_property
def files(self) -> AsyncFiles:
return AsyncFiles(self._client)
@cached_property
def with_raw_response(self) -> AsyncMessagesWithRawResponse:
return AsyncMessagesWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncMessagesWithStreamingResponse:
return AsyncMessagesWithStreamingResponse(self)
async def create(
self,
thread_id: str,
*,
content: str,
role: Literal["user"],
file_ids: List[str] | NotGiven = NOT_GIVEN,
metadata: Optional[object] | 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,
) -> ThreadMessage:
"""
Create a message.
Args:
content: The content of the message.
role: The role of the entity that is creating the message. Currently only `user` is
supported.
file_ids: A list of [File](https://platform.openai.com/docs/api-reference/files) IDs that
the message should use. There can be a maximum of 10 files attached to a
message. Useful for tools like `retrieval` and `code_interpreter` that can
access and use files.
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._post(
f"/threads/{thread_id}/messages",
body=maybe_transform(
{
"content": content,
"role": role,
"file_ids": file_ids,
"metadata": metadata,
},
message_create_params.MessageCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ThreadMessage,
)
async def retrieve(
self,
message_id: str,
*,
thread_id: str,
# 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,
) -> ThreadMessage:
"""
Retrieve a message.
Args:
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not message_id:
raise ValueError(f"Expected a non-empty value for `message_id` but received {message_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._get(
f"/threads/{thread_id}/messages/{message_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ThreadMessage,
)
async def update(
self,
message_id: str,
*,
thread_id: str,
metadata: Optional[object] | 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,
) -> ThreadMessage:
"""
Modifies a message.
Args:
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not message_id:
raise ValueError(f"Expected a non-empty value for `message_id` but received {message_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._post(
f"/threads/{thread_id}/messages/{message_id}",
body=maybe_transform({"metadata": metadata}, message_update_params.MessageUpdateParams),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ThreadMessage,
)
def list(
self,
thread_id: str,
*,
after: str | NotGiven = NOT_GIVEN,
before: str | NotGiven = NOT_GIVEN,
limit: int | NotGiven = NOT_GIVEN,
order: Literal["asc", "desc"] | 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,
) -> AsyncPaginator[ThreadMessage, AsyncCursorPage[ThreadMessage]]:
"""
Returns a list of messages for a given thread.
Args:
after: A cursor for use in pagination. `after` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include after=obj_foo in order to
fetch the next page of the list.
before: A cursor for use in pagination. `before` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include before=obj_foo in order to
fetch the previous page of the list.
limit: A limit on the number of objects to be returned. Limit can range between 1 and
100, and the default is 20.
order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
order and `desc` for descending order.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get_api_list(
f"/threads/{thread_id}/messages",
page=AsyncCursorPage[ThreadMessage],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"before": before,
"limit": limit,
"order": order,
},
message_list_params.MessageListParams,
),
),
model=ThreadMessage,
)
class MessagesWithRawResponse:
def __init__(self, messages: Messages) -> None:
self._messages = messages
self.create = _legacy_response.to_raw_response_wrapper(
messages.create,
)
self.retrieve = _legacy_response.to_raw_response_wrapper(
messages.retrieve,
)
self.update = _legacy_response.to_raw_response_wrapper(
messages.update,
)
self.list = _legacy_response.to_raw_response_wrapper(
messages.list,
)
@cached_property
def files(self) -> FilesWithRawResponse:
return FilesWithRawResponse(self._messages.files)
class AsyncMessagesWithRawResponse:
def __init__(self, messages: AsyncMessages) -> None:
self._messages = messages
self.create = _legacy_response.async_to_raw_response_wrapper(
messages.create,
)
self.retrieve = _legacy_response.async_to_raw_response_wrapper(
messages.retrieve,
)
self.update = _legacy_response.async_to_raw_response_wrapper(
messages.update,
)
self.list = _legacy_response.async_to_raw_response_wrapper(
messages.list,
)
@cached_property
def files(self) -> AsyncFilesWithRawResponse:
return AsyncFilesWithRawResponse(self._messages.files)
class MessagesWithStreamingResponse:
def __init__(self, messages: Messages) -> None:
self._messages = messages
self.create = to_streamed_response_wrapper(
messages.create,
)
self.retrieve = to_streamed_response_wrapper(
messages.retrieve,
)
self.update = to_streamed_response_wrapper(
messages.update,
)
self.list = to_streamed_response_wrapper(
messages.list,
)
@cached_property
def files(self) -> FilesWithStreamingResponse:
return FilesWithStreamingResponse(self._messages.files)
class AsyncMessagesWithStreamingResponse:
def __init__(self, messages: AsyncMessages) -> None:
self._messages = messages
self.create = async_to_streamed_response_wrapper(
messages.create,
)
self.retrieve = async_to_streamed_response_wrapper(
messages.retrieve,
)
self.update = async_to_streamed_response_wrapper(
messages.update,
)
self.list = async_to_streamed_response_wrapper(
messages.list,
)
@cached_property
def files(self) -> AsyncFilesWithStreamingResponse:
return AsyncFilesWithStreamingResponse(self._messages.files)
@@ -0,0 +1,33 @@
# File generated from our OpenAPI spec by Stainless.
from .runs import (
Runs,
AsyncRuns,
RunsWithRawResponse,
AsyncRunsWithRawResponse,
RunsWithStreamingResponse,
AsyncRunsWithStreamingResponse,
)
from .steps import (
Steps,
AsyncSteps,
StepsWithRawResponse,
AsyncStepsWithRawResponse,
StepsWithStreamingResponse,
AsyncStepsWithStreamingResponse,
)
__all__ = [
"Steps",
"AsyncSteps",
"StepsWithRawResponse",
"AsyncStepsWithRawResponse",
"StepsWithStreamingResponse",
"AsyncStepsWithStreamingResponse",
"Runs",
"AsyncRuns",
"RunsWithRawResponse",
"AsyncRunsWithRawResponse",
"RunsWithStreamingResponse",
"AsyncRunsWithStreamingResponse",
]
@@ -0,0 +1,791 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
from typing import Iterable, Optional
from typing_extensions import Literal
import httpx
from ..... import _legacy_response
from .steps import (
Steps,
AsyncSteps,
StepsWithRawResponse,
AsyncStepsWithRawResponse,
StepsWithStreamingResponse,
AsyncStepsWithStreamingResponse,
)
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 to_streamed_response_wrapper, async_to_streamed_response_wrapper
from .....pagination import SyncCursorPage, AsyncCursorPage
from ....._base_client import (
AsyncPaginator,
make_request_options,
)
from .....types.beta.threads import (
Run,
run_list_params,
run_create_params,
run_update_params,
run_submit_tool_outputs_params,
)
__all__ = ["Runs", "AsyncRuns"]
class Runs(SyncAPIResource):
@cached_property
def steps(self) -> Steps:
return Steps(self._client)
@cached_property
def with_raw_response(self) -> RunsWithRawResponse:
return RunsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> RunsWithStreamingResponse:
return RunsWithStreamingResponse(self)
def create(
self,
thread_id: str,
*,
assistant_id: str,
additional_instructions: Optional[str] | NotGiven = NOT_GIVEN,
instructions: Optional[str] | NotGiven = NOT_GIVEN,
metadata: Optional[object] | NotGiven = NOT_GIVEN,
model: Optional[str] | NotGiven = NOT_GIVEN,
tools: Optional[Iterable[run_create_params.Tool]] | 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,
) -> Run:
"""
Create a run.
Args:
assistant_id: The ID of the
[assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
execute this run.
additional_instructions: Appends additional instructions at the end of the instructions for the run. This
is useful for modifying the behavior on a per-run basis without overriding other
instructions.
instructions: Overrides the
[instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant)
of the assistant. This is useful for modifying the behavior on a per-run basis.
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
model: The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
be used to execute this run. If a value is provided here, it will override the
model associated with the assistant. If not, the model associated with the
assistant will be used.
tools: Override the tools the assistant can use for this run. This is useful for
modifying the behavior on a per-run basis.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._post(
f"/threads/{thread_id}/runs",
body=maybe_transform(
{
"assistant_id": assistant_id,
"additional_instructions": additional_instructions,
"instructions": instructions,
"metadata": metadata,
"model": model,
"tools": tools,
},
run_create_params.RunCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
def retrieve(
self,
run_id: str,
*,
thread_id: str,
# 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,
) -> Run:
"""
Retrieves a run.
Args:
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get(
f"/threads/{thread_id}/runs/{run_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
def update(
self,
run_id: str,
*,
thread_id: str,
metadata: Optional[object] | 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,
) -> Run:
"""
Modifies a run.
Args:
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._post(
f"/threads/{thread_id}/runs/{run_id}",
body=maybe_transform({"metadata": metadata}, run_update_params.RunUpdateParams),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
def list(
self,
thread_id: str,
*,
after: str | NotGiven = NOT_GIVEN,
before: str | NotGiven = NOT_GIVEN,
limit: int | NotGiven = NOT_GIVEN,
order: Literal["asc", "desc"] | 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,
) -> SyncCursorPage[Run]:
"""
Returns a list of runs belonging to a thread.
Args:
after: A cursor for use in pagination. `after` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include after=obj_foo in order to
fetch the next page of the list.
before: A cursor for use in pagination. `before` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include before=obj_foo in order to
fetch the previous page of the list.
limit: A limit on the number of objects to be returned. Limit can range between 1 and
100, and the default is 20.
order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
order and `desc` for descending order.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get_api_list(
f"/threads/{thread_id}/runs",
page=SyncCursorPage[Run],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"before": before,
"limit": limit,
"order": order,
},
run_list_params.RunListParams,
),
),
model=Run,
)
def cancel(
self,
run_id: str,
*,
thread_id: str,
# 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,
) -> Run:
"""
Cancels a run that is `in_progress`.
Args:
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._post(
f"/threads/{thread_id}/runs/{run_id}/cancel",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
def submit_tool_outputs(
self,
run_id: str,
*,
thread_id: str,
tool_outputs: Iterable[run_submit_tool_outputs_params.ToolOutput],
# 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,
) -> Run:
"""
When a run has the `status: "requires_action"` and `required_action.type` is
`submit_tool_outputs`, this endpoint can be used to submit the outputs from the
tool calls once they're all completed. All outputs must be submitted in a single
request.
Args:
tool_outputs: A list of tools for which the outputs are being submitted.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._post(
f"/threads/{thread_id}/runs/{run_id}/submit_tool_outputs",
body=maybe_transform(
{"tool_outputs": tool_outputs}, run_submit_tool_outputs_params.RunSubmitToolOutputsParams
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
class AsyncRuns(AsyncAPIResource):
@cached_property
def steps(self) -> AsyncSteps:
return AsyncSteps(self._client)
@cached_property
def with_raw_response(self) -> AsyncRunsWithRawResponse:
return AsyncRunsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncRunsWithStreamingResponse:
return AsyncRunsWithStreamingResponse(self)
async def create(
self,
thread_id: str,
*,
assistant_id: str,
additional_instructions: Optional[str] | NotGiven = NOT_GIVEN,
instructions: Optional[str] | NotGiven = NOT_GIVEN,
metadata: Optional[object] | NotGiven = NOT_GIVEN,
model: Optional[str] | NotGiven = NOT_GIVEN,
tools: Optional[Iterable[run_create_params.Tool]] | 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,
) -> Run:
"""
Create a run.
Args:
assistant_id: The ID of the
[assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
execute this run.
additional_instructions: Appends additional instructions at the end of the instructions for the run. This
is useful for modifying the behavior on a per-run basis without overriding other
instructions.
instructions: Overrides the
[instructions](https://platform.openai.com/docs/api-reference/assistants/createAssistant)
of the assistant. This is useful for modifying the behavior on a per-run basis.
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
model: The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
be used to execute this run. If a value is provided here, it will override the
model associated with the assistant. If not, the model associated with the
assistant will be used.
tools: Override the tools the assistant can use for this run. This is useful for
modifying the behavior on a per-run basis.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._post(
f"/threads/{thread_id}/runs",
body=maybe_transform(
{
"assistant_id": assistant_id,
"additional_instructions": additional_instructions,
"instructions": instructions,
"metadata": metadata,
"model": model,
"tools": tools,
},
run_create_params.RunCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
async def retrieve(
self,
run_id: str,
*,
thread_id: str,
# 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,
) -> Run:
"""
Retrieves a run.
Args:
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._get(
f"/threads/{thread_id}/runs/{run_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
async def update(
self,
run_id: str,
*,
thread_id: str,
metadata: Optional[object] | 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,
) -> Run:
"""
Modifies a run.
Args:
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._post(
f"/threads/{thread_id}/runs/{run_id}",
body=maybe_transform({"metadata": metadata}, run_update_params.RunUpdateParams),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
def list(
self,
thread_id: str,
*,
after: str | NotGiven = NOT_GIVEN,
before: str | NotGiven = NOT_GIVEN,
limit: int | NotGiven = NOT_GIVEN,
order: Literal["asc", "desc"] | 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,
) -> AsyncPaginator[Run, AsyncCursorPage[Run]]:
"""
Returns a list of runs belonging to a thread.
Args:
after: A cursor for use in pagination. `after` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include after=obj_foo in order to
fetch the next page of the list.
before: A cursor for use in pagination. `before` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include before=obj_foo in order to
fetch the previous page of the list.
limit: A limit on the number of objects to be returned. Limit can range between 1 and
100, and the default is 20.
order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
order and `desc` for descending order.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get_api_list(
f"/threads/{thread_id}/runs",
page=AsyncCursorPage[Run],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"before": before,
"limit": limit,
"order": order,
},
run_list_params.RunListParams,
),
),
model=Run,
)
async def cancel(
self,
run_id: str,
*,
thread_id: str,
# 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,
) -> Run:
"""
Cancels a run that is `in_progress`.
Args:
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._post(
f"/threads/{thread_id}/runs/{run_id}/cancel",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
async def submit_tool_outputs(
self,
run_id: str,
*,
thread_id: str,
tool_outputs: Iterable[run_submit_tool_outputs_params.ToolOutput],
# 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,
) -> Run:
"""
When a run has the `status: "requires_action"` and `required_action.type` is
`submit_tool_outputs`, this endpoint can be used to submit the outputs from the
tool calls once they're all completed. All outputs must be submitted in a single
request.
Args:
tool_outputs: A list of tools for which the outputs are being submitted.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._post(
f"/threads/{thread_id}/runs/{run_id}/submit_tool_outputs",
body=maybe_transform(
{"tool_outputs": tool_outputs}, run_submit_tool_outputs_params.RunSubmitToolOutputsParams
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
class RunsWithRawResponse:
def __init__(self, runs: Runs) -> None:
self._runs = runs
self.create = _legacy_response.to_raw_response_wrapper(
runs.create,
)
self.retrieve = _legacy_response.to_raw_response_wrapper(
runs.retrieve,
)
self.update = _legacy_response.to_raw_response_wrapper(
runs.update,
)
self.list = _legacy_response.to_raw_response_wrapper(
runs.list,
)
self.cancel = _legacy_response.to_raw_response_wrapper(
runs.cancel,
)
self.submit_tool_outputs = _legacy_response.to_raw_response_wrapper(
runs.submit_tool_outputs,
)
@cached_property
def steps(self) -> StepsWithRawResponse:
return StepsWithRawResponse(self._runs.steps)
class AsyncRunsWithRawResponse:
def __init__(self, runs: AsyncRuns) -> None:
self._runs = runs
self.create = _legacy_response.async_to_raw_response_wrapper(
runs.create,
)
self.retrieve = _legacy_response.async_to_raw_response_wrapper(
runs.retrieve,
)
self.update = _legacy_response.async_to_raw_response_wrapper(
runs.update,
)
self.list = _legacy_response.async_to_raw_response_wrapper(
runs.list,
)
self.cancel = _legacy_response.async_to_raw_response_wrapper(
runs.cancel,
)
self.submit_tool_outputs = _legacy_response.async_to_raw_response_wrapper(
runs.submit_tool_outputs,
)
@cached_property
def steps(self) -> AsyncStepsWithRawResponse:
return AsyncStepsWithRawResponse(self._runs.steps)
class RunsWithStreamingResponse:
def __init__(self, runs: Runs) -> None:
self._runs = runs
self.create = to_streamed_response_wrapper(
runs.create,
)
self.retrieve = to_streamed_response_wrapper(
runs.retrieve,
)
self.update = to_streamed_response_wrapper(
runs.update,
)
self.list = to_streamed_response_wrapper(
runs.list,
)
self.cancel = to_streamed_response_wrapper(
runs.cancel,
)
self.submit_tool_outputs = to_streamed_response_wrapper(
runs.submit_tool_outputs,
)
@cached_property
def steps(self) -> StepsWithStreamingResponse:
return StepsWithStreamingResponse(self._runs.steps)
class AsyncRunsWithStreamingResponse:
def __init__(self, runs: AsyncRuns) -> None:
self._runs = runs
self.create = async_to_streamed_response_wrapper(
runs.create,
)
self.retrieve = async_to_streamed_response_wrapper(
runs.retrieve,
)
self.update = async_to_streamed_response_wrapper(
runs.update,
)
self.list = async_to_streamed_response_wrapper(
runs.list,
)
self.cancel = async_to_streamed_response_wrapper(
runs.cancel,
)
self.submit_tool_outputs = async_to_streamed_response_wrapper(
runs.submit_tool_outputs,
)
@cached_property
def steps(self) -> AsyncStepsWithStreamingResponse:
return AsyncStepsWithStreamingResponse(self._runs.steps)
@@ -0,0 +1,310 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
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 to_streamed_response_wrapper, async_to_streamed_response_wrapper
from .....pagination import SyncCursorPage, AsyncCursorPage
from ....._base_client import (
AsyncPaginator,
make_request_options,
)
from .....types.beta.threads.runs import RunStep, step_list_params
__all__ = ["Steps", "AsyncSteps"]
class Steps(SyncAPIResource):
@cached_property
def with_raw_response(self) -> StepsWithRawResponse:
return StepsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> StepsWithStreamingResponse:
return StepsWithStreamingResponse(self)
def retrieve(
self,
step_id: str,
*,
thread_id: str,
run_id: str,
# 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,
) -> RunStep:
"""
Retrieves a run step.
Args:
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
if not step_id:
raise ValueError(f"Expected a non-empty value for `step_id` but received {step_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get(
f"/threads/{thread_id}/runs/{run_id}/steps/{step_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=RunStep,
)
def list(
self,
run_id: str,
*,
thread_id: str,
after: str | NotGiven = NOT_GIVEN,
before: str | NotGiven = NOT_GIVEN,
limit: int | NotGiven = NOT_GIVEN,
order: Literal["asc", "desc"] | 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,
) -> SyncCursorPage[RunStep]:
"""
Returns a list of run steps belonging to a run.
Args:
after: A cursor for use in pagination. `after` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include after=obj_foo in order to
fetch the next page of the list.
before: A cursor for use in pagination. `before` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include before=obj_foo in order to
fetch the previous page of the list.
limit: A limit on the number of objects to be returned. Limit can range between 1 and
100, and the default is 20.
order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
order and `desc` for descending order.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get_api_list(
f"/threads/{thread_id}/runs/{run_id}/steps",
page=SyncCursorPage[RunStep],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"before": before,
"limit": limit,
"order": order,
},
step_list_params.StepListParams,
),
),
model=RunStep,
)
class AsyncSteps(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncStepsWithRawResponse:
return AsyncStepsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncStepsWithStreamingResponse:
return AsyncStepsWithStreamingResponse(self)
async def retrieve(
self,
step_id: str,
*,
thread_id: str,
run_id: str,
# 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,
) -> RunStep:
"""
Retrieves a run step.
Args:
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
if not step_id:
raise ValueError(f"Expected a non-empty value for `step_id` but received {step_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._get(
f"/threads/{thread_id}/runs/{run_id}/steps/{step_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=RunStep,
)
def list(
self,
run_id: str,
*,
thread_id: str,
after: str | NotGiven = NOT_GIVEN,
before: str | NotGiven = NOT_GIVEN,
limit: int | NotGiven = NOT_GIVEN,
order: Literal["asc", "desc"] | 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,
) -> AsyncPaginator[RunStep, AsyncCursorPage[RunStep]]:
"""
Returns a list of run steps belonging to a run.
Args:
after: A cursor for use in pagination. `after` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include after=obj_foo in order to
fetch the next page of the list.
before: A cursor for use in pagination. `before` is an object ID that defines your place
in the list. For instance, if you make a list request and receive 100 objects,
ending with obj_foo, your subsequent call can include before=obj_foo in order to
fetch the previous page of the list.
limit: A limit on the number of objects to be returned. Limit can range between 1 and
100, and the default is 20.
order: Sort order by the `created_at` timestamp of the objects. `asc` for ascending
order and `desc` for descending order.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
if not run_id:
raise ValueError(f"Expected a non-empty value for `run_id` but received {run_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get_api_list(
f"/threads/{thread_id}/runs/{run_id}/steps",
page=AsyncCursorPage[RunStep],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"before": before,
"limit": limit,
"order": order,
},
step_list_params.StepListParams,
),
),
model=RunStep,
)
class StepsWithRawResponse:
def __init__(self, steps: Steps) -> None:
self._steps = steps
self.retrieve = _legacy_response.to_raw_response_wrapper(
steps.retrieve,
)
self.list = _legacy_response.to_raw_response_wrapper(
steps.list,
)
class AsyncStepsWithRawResponse:
def __init__(self, steps: AsyncSteps) -> None:
self._steps = steps
self.retrieve = _legacy_response.async_to_raw_response_wrapper(
steps.retrieve,
)
self.list = _legacy_response.async_to_raw_response_wrapper(
steps.list,
)
class StepsWithStreamingResponse:
def __init__(self, steps: Steps) -> None:
self._steps = steps
self.retrieve = to_streamed_response_wrapper(
steps.retrieve,
)
self.list = to_streamed_response_wrapper(
steps.list,
)
class AsyncStepsWithStreamingResponse:
def __init__(self, steps: AsyncSteps) -> None:
self._steps = steps
self.retrieve = async_to_streamed_response_wrapper(
steps.retrieve,
)
self.list = async_to_streamed_response_wrapper(
steps.list,
)
@@ -0,0 +1,651 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
from typing import Iterable, Optional
import httpx
from .... import _legacy_response
from .runs import (
Runs,
AsyncRuns,
RunsWithRawResponse,
AsyncRunsWithRawResponse,
RunsWithStreamingResponse,
AsyncRunsWithStreamingResponse,
)
from .messages import (
Messages,
AsyncMessages,
MessagesWithRawResponse,
AsyncMessagesWithRawResponse,
MessagesWithStreamingResponse,
AsyncMessagesWithStreamingResponse,
)
from ...._types import NOT_GIVEN, Body, Query, Headers, NotGiven
from ...._utils import maybe_transform
from .runs.runs import Runs, AsyncRuns
from ...._compat import cached_property
from ...._resource import SyncAPIResource, AsyncAPIResource
from ...._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
from ....types.beta import (
Thread,
ThreadDeleted,
thread_create_params,
thread_update_params,
thread_create_and_run_params,
)
from ...._base_client import (
make_request_options,
)
from .messages.messages import Messages, AsyncMessages
from ....types.beta.threads import Run
__all__ = ["Threads", "AsyncThreads"]
class Threads(SyncAPIResource):
@cached_property
def runs(self) -> Runs:
return Runs(self._client)
@cached_property
def messages(self) -> Messages:
return Messages(self._client)
@cached_property
def with_raw_response(self) -> ThreadsWithRawResponse:
return ThreadsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> ThreadsWithStreamingResponse:
return ThreadsWithStreamingResponse(self)
def create(
self,
*,
messages: Iterable[thread_create_params.Message] | NotGiven = NOT_GIVEN,
metadata: Optional[object] | 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,
) -> Thread:
"""
Create a thread.
Args:
messages: A list of [messages](https://platform.openai.com/docs/api-reference/messages) to
start the thread with.
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
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
"""
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._post(
"/threads",
body=maybe_transform(
{
"messages": messages,
"metadata": metadata,
},
thread_create_params.ThreadCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Thread,
)
def retrieve(
self,
thread_id: str,
*,
# 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,
) -> Thread:
"""
Retrieves a thread.
Args:
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._get(
f"/threads/{thread_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Thread,
)
def update(
self,
thread_id: str,
*,
metadata: Optional[object] | 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,
) -> Thread:
"""
Modifies a thread.
Args:
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._post(
f"/threads/{thread_id}",
body=maybe_transform({"metadata": metadata}, thread_update_params.ThreadUpdateParams),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Thread,
)
def delete(
self,
thread_id: str,
*,
# 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,
) -> ThreadDeleted:
"""
Delete a thread.
Args:
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._delete(
f"/threads/{thread_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ThreadDeleted,
)
def create_and_run(
self,
*,
assistant_id: str,
instructions: Optional[str] | NotGiven = NOT_GIVEN,
metadata: Optional[object] | NotGiven = NOT_GIVEN,
model: Optional[str] | NotGiven = NOT_GIVEN,
thread: thread_create_and_run_params.Thread | NotGiven = NOT_GIVEN,
tools: Optional[Iterable[thread_create_and_run_params.Tool]] | 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,
) -> Run:
"""
Create a thread and run it in one request.
Args:
assistant_id: The ID of the
[assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
execute this run.
instructions: Override the default system message of the assistant. This is useful for
modifying the behavior on a per-run basis.
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
model: The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
be used to execute this run. If a value is provided here, it will override the
model associated with the assistant. If not, the model associated with the
assistant will be used.
thread: If no thread is provided, an empty thread will be created.
tools: Override the tools the assistant can use for this run. This is useful for
modifying the behavior on a per-run basis.
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
"""
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return self._post(
"/threads/runs",
body=maybe_transform(
{
"assistant_id": assistant_id,
"instructions": instructions,
"metadata": metadata,
"model": model,
"thread": thread,
"tools": tools,
},
thread_create_and_run_params.ThreadCreateAndRunParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
class AsyncThreads(AsyncAPIResource):
@cached_property
def runs(self) -> AsyncRuns:
return AsyncRuns(self._client)
@cached_property
def messages(self) -> AsyncMessages:
return AsyncMessages(self._client)
@cached_property
def with_raw_response(self) -> AsyncThreadsWithRawResponse:
return AsyncThreadsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncThreadsWithStreamingResponse:
return AsyncThreadsWithStreamingResponse(self)
async def create(
self,
*,
messages: Iterable[thread_create_params.Message] | NotGiven = NOT_GIVEN,
metadata: Optional[object] | 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,
) -> Thread:
"""
Create a thread.
Args:
messages: A list of [messages](https://platform.openai.com/docs/api-reference/messages) to
start the thread with.
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
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
"""
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._post(
"/threads",
body=maybe_transform(
{
"messages": messages,
"metadata": metadata,
},
thread_create_params.ThreadCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Thread,
)
async def retrieve(
self,
thread_id: str,
*,
# 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,
) -> Thread:
"""
Retrieves a thread.
Args:
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._get(
f"/threads/{thread_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Thread,
)
async def update(
self,
thread_id: str,
*,
metadata: Optional[object] | 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,
) -> Thread:
"""
Modifies a thread.
Args:
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._post(
f"/threads/{thread_id}",
body=maybe_transform({"metadata": metadata}, thread_update_params.ThreadUpdateParams),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Thread,
)
async def delete(
self,
thread_id: str,
*,
# 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,
) -> ThreadDeleted:
"""
Delete a thread.
Args:
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
"""
if not thread_id:
raise ValueError(f"Expected a non-empty value for `thread_id` but received {thread_id!r}")
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._delete(
f"/threads/{thread_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ThreadDeleted,
)
async def create_and_run(
self,
*,
assistant_id: str,
instructions: Optional[str] | NotGiven = NOT_GIVEN,
metadata: Optional[object] | NotGiven = NOT_GIVEN,
model: Optional[str] | NotGiven = NOT_GIVEN,
thread: thread_create_and_run_params.Thread | NotGiven = NOT_GIVEN,
tools: Optional[Iterable[thread_create_and_run_params.Tool]] | 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,
) -> Run:
"""
Create a thread and run it in one request.
Args:
assistant_id: The ID of the
[assistant](https://platform.openai.com/docs/api-reference/assistants) to use to
execute this run.
instructions: Override the default system message of the assistant. This is useful for
modifying the behavior on a per-run basis.
metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
for storing additional information about the object in a structured format. Keys
can be a maximum of 64 characters long and values can be a maxium of 512
characters long.
model: The ID of the [Model](https://platform.openai.com/docs/api-reference/models) to
be used to execute this run. If a value is provided here, it will override the
model associated with the assistant. If not, the model associated with the
assistant will be used.
thread: If no thread is provided, an empty thread will be created.
tools: Override the tools the assistant can use for this run. This is useful for
modifying the behavior on a per-run basis.
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
"""
extra_headers = {"OpenAI-Beta": "assistants=v1", **(extra_headers or {})}
return await self._post(
"/threads/runs",
body=maybe_transform(
{
"assistant_id": assistant_id,
"instructions": instructions,
"metadata": metadata,
"model": model,
"thread": thread,
"tools": tools,
},
thread_create_and_run_params.ThreadCreateAndRunParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Run,
)
class ThreadsWithRawResponse:
def __init__(self, threads: Threads) -> None:
self._threads = threads
self.create = _legacy_response.to_raw_response_wrapper(
threads.create,
)
self.retrieve = _legacy_response.to_raw_response_wrapper(
threads.retrieve,
)
self.update = _legacy_response.to_raw_response_wrapper(
threads.update,
)
self.delete = _legacy_response.to_raw_response_wrapper(
threads.delete,
)
self.create_and_run = _legacy_response.to_raw_response_wrapper(
threads.create_and_run,
)
@cached_property
def runs(self) -> RunsWithRawResponse:
return RunsWithRawResponse(self._threads.runs)
@cached_property
def messages(self) -> MessagesWithRawResponse:
return MessagesWithRawResponse(self._threads.messages)
class AsyncThreadsWithRawResponse:
def __init__(self, threads: AsyncThreads) -> None:
self._threads = threads
self.create = _legacy_response.async_to_raw_response_wrapper(
threads.create,
)
self.retrieve = _legacy_response.async_to_raw_response_wrapper(
threads.retrieve,
)
self.update = _legacy_response.async_to_raw_response_wrapper(
threads.update,
)
self.delete = _legacy_response.async_to_raw_response_wrapper(
threads.delete,
)
self.create_and_run = _legacy_response.async_to_raw_response_wrapper(
threads.create_and_run,
)
@cached_property
def runs(self) -> AsyncRunsWithRawResponse:
return AsyncRunsWithRawResponse(self._threads.runs)
@cached_property
def messages(self) -> AsyncMessagesWithRawResponse:
return AsyncMessagesWithRawResponse(self._threads.messages)
class ThreadsWithStreamingResponse:
def __init__(self, threads: Threads) -> None:
self._threads = threads
self.create = to_streamed_response_wrapper(
threads.create,
)
self.retrieve = to_streamed_response_wrapper(
threads.retrieve,
)
self.update = to_streamed_response_wrapper(
threads.update,
)
self.delete = to_streamed_response_wrapper(
threads.delete,
)
self.create_and_run = to_streamed_response_wrapper(
threads.create_and_run,
)
@cached_property
def runs(self) -> RunsWithStreamingResponse:
return RunsWithStreamingResponse(self._threads.runs)
@cached_property
def messages(self) -> MessagesWithStreamingResponse:
return MessagesWithStreamingResponse(self._threads.messages)
class AsyncThreadsWithStreamingResponse:
def __init__(self, threads: AsyncThreads) -> None:
self._threads = threads
self.create = async_to_streamed_response_wrapper(
threads.create,
)
self.retrieve = async_to_streamed_response_wrapper(
threads.retrieve,
)
self.update = async_to_streamed_response_wrapper(
threads.update,
)
self.delete = async_to_streamed_response_wrapper(
threads.delete,
)
self.create_and_run = async_to_streamed_response_wrapper(
threads.create_and_run,
)
@cached_property
def runs(self) -> AsyncRunsWithStreamingResponse:
return AsyncRunsWithStreamingResponse(self._threads.runs)
@cached_property
def messages(self) -> AsyncMessagesWithStreamingResponse:
return AsyncMessagesWithStreamingResponse(self._threads.messages)
@@ -0,0 +1,33 @@
# File generated from our OpenAPI spec by Stainless.
from .chat import (
Chat,
AsyncChat,
ChatWithRawResponse,
AsyncChatWithRawResponse,
ChatWithStreamingResponse,
AsyncChatWithStreamingResponse,
)
from .completions import (
Completions,
AsyncCompletions,
CompletionsWithRawResponse,
AsyncCompletionsWithRawResponse,
CompletionsWithStreamingResponse,
AsyncCompletionsWithStreamingResponse,
)
__all__ = [
"Completions",
"AsyncCompletions",
"CompletionsWithRawResponse",
"AsyncCompletionsWithRawResponse",
"CompletionsWithStreamingResponse",
"AsyncCompletionsWithStreamingResponse",
"Chat",
"AsyncChat",
"ChatWithRawResponse",
"AsyncChatWithRawResponse",
"ChatWithStreamingResponse",
"AsyncChatWithStreamingResponse",
]
@@ -0,0 +1,80 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
from ..._compat import cached_property
from ..._resource import SyncAPIResource, AsyncAPIResource
from .completions import (
Completions,
AsyncCompletions,
CompletionsWithRawResponse,
AsyncCompletionsWithRawResponse,
CompletionsWithStreamingResponse,
AsyncCompletionsWithStreamingResponse,
)
__all__ = ["Chat", "AsyncChat"]
class Chat(SyncAPIResource):
@cached_property
def completions(self) -> Completions:
return Completions(self._client)
@cached_property
def with_raw_response(self) -> ChatWithRawResponse:
return ChatWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> ChatWithStreamingResponse:
return ChatWithStreamingResponse(self)
class AsyncChat(AsyncAPIResource):
@cached_property
def completions(self) -> AsyncCompletions:
return AsyncCompletions(self._client)
@cached_property
def with_raw_response(self) -> AsyncChatWithRawResponse:
return AsyncChatWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncChatWithStreamingResponse:
return AsyncChatWithStreamingResponse(self)
class ChatWithRawResponse:
def __init__(self, chat: Chat) -> None:
self._chat = chat
@cached_property
def completions(self) -> CompletionsWithRawResponse:
return CompletionsWithRawResponse(self._chat.completions)
class AsyncChatWithRawResponse:
def __init__(self, chat: AsyncChat) -> None:
self._chat = chat
@cached_property
def completions(self) -> AsyncCompletionsWithRawResponse:
return AsyncCompletionsWithRawResponse(self._chat.completions)
class ChatWithStreamingResponse:
def __init__(self, chat: Chat) -> None:
self._chat = chat
@cached_property
def completions(self) -> CompletionsWithStreamingResponse:
return CompletionsWithStreamingResponse(self._chat.completions)
class AsyncChatWithStreamingResponse:
def __init__(self, chat: AsyncChat) -> None:
self._chat = chat
@cached_property
def completions(self) -> AsyncCompletionsWithStreamingResponse:
return AsyncCompletionsWithStreamingResponse(self._chat.completions)
File diff suppressed because it is too large Load Diff
File diff suppressed because it is too large Load Diff
@@ -0,0 +1,261 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
import base64
from typing import List, Union, Iterable, cast
from typing_extensions import Literal
import httpx
from .. import _legacy_response
from ..types import CreateEmbeddingResponse, embedding_create_params
from .._types import NOT_GIVEN, Body, Query, Headers, NotGiven
from .._utils import is_given, maybe_transform
from .._compat import cached_property
from .._extras import numpy as np, has_numpy
from .._resource import SyncAPIResource, AsyncAPIResource
from .._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
from .._base_client import (
make_request_options,
)
__all__ = ["Embeddings", "AsyncEmbeddings"]
class Embeddings(SyncAPIResource):
@cached_property
def with_raw_response(self) -> EmbeddingsWithRawResponse:
return EmbeddingsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> EmbeddingsWithStreamingResponse:
return EmbeddingsWithStreamingResponse(self)
def create(
self,
*,
input: Union[str, List[str], Iterable[int], Iterable[Iterable[int]]],
model: Union[str, Literal["text-embedding-ada-002", "text-embedding-3-small", "text-embedding-3-large"]],
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:
"""
Creates an embedding vector representing the input text.
Args:
input: Input text to embed, encoded as a string or array of tokens. To embed multiple
inputs in a single request, pass an array of strings or array of token arrays.
The input must not exceed the max input tokens for the model (8192 tokens for
`text-embedding-ada-002`), cannot be an empty string, and any array must be 2048
dimensions or less.
[Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
for counting tokens.
model: ID of the model to use. You can use the
[List models](https://platform.openai.com/docs/api-reference/models/list) API to
see all of your available models, or see our
[Model overview](https://platform.openai.com/docs/models/overview) for
descriptions of them.
dimensions: The number of dimensions the resulting output embeddings should have. Only
supported in `text-embedding-3` and later models.
encoding_format: The format to return the embeddings in. Can be either `float` or
[`base64`](https://pypi.org/project/pybase64/).
user: A unique identifier representing your end-user, which can help OpenAI to monitor
and detect abuse.
[Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids).
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
"""
params = {
"input": input,
"model": model,
"user": user,
"dimensions": dimensions,
"encoding_format": encoding_format,
}
if not is_given(encoding_format) and has_numpy():
params["encoding_format"] = "base64"
def parser(obj: CreateEmbeddingResponse) -> CreateEmbeddingResponse:
if is_given(encoding_format):
# don't modify the response object if a user explicitly asked for a format
return obj
for embedding in obj.data:
data = cast(object, embedding.embedding)
if not isinstance(data, str):
# numpy is not installed / base64 optimisation isn't enabled for this model yet
continue
embedding.embedding = np.frombuffer( # type: ignore[no-untyped-call]
base64.b64decode(data), dtype="float32"
).tolist()
return obj
return self._post(
"/embeddings",
body=maybe_transform(params, embedding_create_params.EmbeddingCreateParams),
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
post_parser=parser,
),
cast_to=CreateEmbeddingResponse,
)
class AsyncEmbeddings(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncEmbeddingsWithRawResponse:
return AsyncEmbeddingsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncEmbeddingsWithStreamingResponse:
return AsyncEmbeddingsWithStreamingResponse(self)
async def create(
self,
*,
input: Union[str, List[str], Iterable[int], Iterable[Iterable[int]]],
model: Union[str, Literal["text-embedding-ada-002", "text-embedding-3-small", "text-embedding-3-large"]],
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:
"""
Creates an embedding vector representing the input text.
Args:
input: Input text to embed, encoded as a string or array of tokens. To embed multiple
inputs in a single request, pass an array of strings or array of token arrays.
The input must not exceed the max input tokens for the model (8192 tokens for
`text-embedding-ada-002`), cannot be an empty string, and any array must be 2048
dimensions or less.
[Example Python code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
for counting tokens.
model: ID of the model to use. You can use the
[List models](https://platform.openai.com/docs/api-reference/models/list) API to
see all of your available models, or see our
[Model overview](https://platform.openai.com/docs/models/overview) for
descriptions of them.
dimensions: The number of dimensions the resulting output embeddings should have. Only
supported in `text-embedding-3` and later models.
encoding_format: The format to return the embeddings in. Can be either `float` or
[`base64`](https://pypi.org/project/pybase64/).
user: A unique identifier representing your end-user, which can help OpenAI to monitor
and detect abuse.
[Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids).
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
"""
params = {
"input": input,
"model": model,
"user": user,
"dimensions": dimensions,
"encoding_format": encoding_format,
}
if not is_given(encoding_format) and has_numpy():
params["encoding_format"] = "base64"
def parser(obj: CreateEmbeddingResponse) -> CreateEmbeddingResponse:
if is_given(encoding_format):
# don't modify the response object if a user explicitly asked for a format
return obj
for embedding in obj.data:
data = cast(object, embedding.embedding)
if not isinstance(data, str):
# numpy is not installed / base64 optimisation isn't enabled for this model yet
continue
embedding.embedding = np.frombuffer( # type: ignore[no-untyped-call]
base64.b64decode(data), dtype="float32"
).tolist()
return obj
return await self._post(
"/embeddings",
body=maybe_transform(params, embedding_create_params.EmbeddingCreateParams),
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
post_parser=parser,
),
cast_to=CreateEmbeddingResponse,
)
class EmbeddingsWithRawResponse:
def __init__(self, embeddings: Embeddings) -> None:
self._embeddings = embeddings
self.create = _legacy_response.to_raw_response_wrapper(
embeddings.create,
)
class AsyncEmbeddingsWithRawResponse:
def __init__(self, embeddings: AsyncEmbeddings) -> None:
self._embeddings = embeddings
self.create = _legacy_response.async_to_raw_response_wrapper(
embeddings.create,
)
class EmbeddingsWithStreamingResponse:
def __init__(self, embeddings: Embeddings) -> None:
self._embeddings = embeddings
self.create = to_streamed_response_wrapper(
embeddings.create,
)
class AsyncEmbeddingsWithStreamingResponse:
def __init__(self, embeddings: AsyncEmbeddings) -> None:
self._embeddings = embeddings
self.create = async_to_streamed_response_wrapper(
embeddings.create,
)
+684
View File
@@ -0,0 +1,684 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
import time
import typing_extensions
from typing import Mapping, cast
from typing_extensions import Literal
import httpx
from .. import _legacy_response
from ..types import FileObject, FileDeleted, file_list_params, file_create_params
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 (
StreamedBinaryAPIResponse,
AsyncStreamedBinaryAPIResponse,
to_streamed_response_wrapper,
async_to_streamed_response_wrapper,
to_custom_streamed_response_wrapper,
async_to_custom_streamed_response_wrapper,
)
from ..pagination import SyncPage, AsyncPage
from .._base_client import (
AsyncPaginator,
make_request_options,
)
__all__ = ["Files", "AsyncFiles"]
class Files(SyncAPIResource):
@cached_property
def with_raw_response(self) -> FilesWithRawResponse:
return FilesWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> FilesWithStreamingResponse:
return FilesWithStreamingResponse(self)
def create(
self,
*,
file: FileTypes,
purpose: Literal["fine-tune", "assistants"],
# 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,
) -> FileObject:
"""Upload a file that can be used across various endpoints.
The size of all the
files uploaded by one organization can be up to 100 GB.
The size of individual files can be a maximum of 512 MB or 2 million tokens for
Assistants. See the
[Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) to
learn more about the types of files supported. The Fine-tuning API only supports
`.jsonl` files.
Please [contact us](https://help.openai.com/) if you need to increase these
storage limits.
Args:
file: The File object (not file name) to be uploaded.
purpose: The intended purpose of the uploaded file.
Use "fine-tune" for
[Fine-tuning](https://platform.openai.com/docs/api-reference/fine-tuning) and
"assistants" for
[Assistants](https://platform.openai.com/docs/api-reference/assistants) and
[Messages](https://platform.openai.com/docs/api-reference/messages). This allows
us to validate the format of the uploaded file is correct for fine-tuning.
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,
"purpose": purpose,
}
)
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(
"/files",
body=maybe_transform(body, file_create_params.FileCreateParams),
files=files,
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=FileObject,
)
def retrieve(
self,
file_id: str,
*,
# 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,
) -> FileObject:
"""
Returns information about a specific file.
Args:
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
"""
if not file_id:
raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
return self._get(
f"/files/{file_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=FileObject,
)
def list(
self,
*,
purpose: 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,
) -> SyncPage[FileObject]:
"""
Returns a list of files that belong to the user's organization.
Args:
purpose: Only return files with the given purpose.
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._get_api_list(
"/files",
page=SyncPage[FileObject],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform({"purpose": purpose}, file_list_params.FileListParams),
),
model=FileObject,
)
def delete(
self,
file_id: str,
*,
# 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,
) -> FileDeleted:
"""
Delete a file.
Args:
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
"""
if not file_id:
raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
return self._delete(
f"/files/{file_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=FileDeleted,
)
def content(
self,
file_id: str,
*,
# 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:
"""
Returns the contents of the specified file.
Args:
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
"""
if not file_id:
raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
return self._get(
f"/files/{file_id}/content",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=_legacy_response.HttpxBinaryResponseContent,
)
@typing_extensions.deprecated("The `.content()` method should be used instead")
def retrieve_content(
self,
file_id: str,
*,
# 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,
) -> str:
"""
Returns the contents of the specified file.
Args:
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
"""
if not file_id:
raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
extra_headers = {"Accept": "application/json", **(extra_headers or {})}
return self._get(
f"/files/{file_id}/content",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=str,
)
def wait_for_processing(
self,
id: str,
*,
poll_interval: float = 5.0,
max_wait_seconds: float = 30 * 60,
) -> FileObject:
"""Waits for the given file to be processed, default timeout is 30 mins."""
TERMINAL_STATES = {"processed", "error", "deleted"}
start = time.time()
file = self.retrieve(id)
while file.status not in TERMINAL_STATES:
self._sleep(poll_interval)
file = self.retrieve(id)
if time.time() - start > max_wait_seconds:
raise RuntimeError(
f"Giving up on waiting for file {id} to finish processing after {max_wait_seconds} seconds."
)
return file
class AsyncFiles(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncFilesWithRawResponse:
return AsyncFilesWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncFilesWithStreamingResponse:
return AsyncFilesWithStreamingResponse(self)
async def create(
self,
*,
file: FileTypes,
purpose: Literal["fine-tune", "assistants"],
# 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,
) -> FileObject:
"""Upload a file that can be used across various endpoints.
The size of all the
files uploaded by one organization can be up to 100 GB.
The size of individual files can be a maximum of 512 MB or 2 million tokens for
Assistants. See the
[Assistants Tools guide](https://platform.openai.com/docs/assistants/tools) to
learn more about the types of files supported. The Fine-tuning API only supports
`.jsonl` files.
Please [contact us](https://help.openai.com/) if you need to increase these
storage limits.
Args:
file: The File object (not file name) to be uploaded.
purpose: The intended purpose of the uploaded file.
Use "fine-tune" for
[Fine-tuning](https://platform.openai.com/docs/api-reference/fine-tuning) and
"assistants" for
[Assistants](https://platform.openai.com/docs/api-reference/assistants) and
[Messages](https://platform.openai.com/docs/api-reference/messages). This allows
us to validate the format of the uploaded file is correct for fine-tuning.
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,
"purpose": purpose,
}
)
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(
"/files",
body=maybe_transform(body, file_create_params.FileCreateParams),
files=files,
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=FileObject,
)
async def retrieve(
self,
file_id: str,
*,
# 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,
) -> FileObject:
"""
Returns information about a specific file.
Args:
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
"""
if not file_id:
raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
return await self._get(
f"/files/{file_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=FileObject,
)
def list(
self,
*,
purpose: 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,
) -> AsyncPaginator[FileObject, AsyncPage[FileObject]]:
"""
Returns a list of files that belong to the user's organization.
Args:
purpose: Only return files with the given purpose.
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._get_api_list(
"/files",
page=AsyncPage[FileObject],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform({"purpose": purpose}, file_list_params.FileListParams),
),
model=FileObject,
)
async def delete(
self,
file_id: str,
*,
# 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,
) -> FileDeleted:
"""
Delete a file.
Args:
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
"""
if not file_id:
raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
return await self._delete(
f"/files/{file_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=FileDeleted,
)
async def content(
self,
file_id: str,
*,
# 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:
"""
Returns the contents of the specified file.
Args:
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
"""
if not file_id:
raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
return await self._get(
f"/files/{file_id}/content",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=_legacy_response.HttpxBinaryResponseContent,
)
@typing_extensions.deprecated("The `.content()` method should be used instead")
async def retrieve_content(
self,
file_id: str,
*,
# 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,
) -> str:
"""
Returns the contents of the specified file.
Args:
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
"""
if not file_id:
raise ValueError(f"Expected a non-empty value for `file_id` but received {file_id!r}")
extra_headers = {"Accept": "application/json", **(extra_headers or {})}
return await self._get(
f"/files/{file_id}/content",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=str,
)
async def wait_for_processing(
self,
id: str,
*,
poll_interval: float = 5.0,
max_wait_seconds: float = 30 * 60,
) -> FileObject:
"""Waits for the given file to be processed, default timeout is 30 mins."""
TERMINAL_STATES = {"processed", "error", "deleted"}
start = time.time()
file = await self.retrieve(id)
while file.status not in TERMINAL_STATES:
await self._sleep(poll_interval)
file = await self.retrieve(id)
if time.time() - start > max_wait_seconds:
raise RuntimeError(
f"Giving up on waiting for file {id} to finish processing after {max_wait_seconds} seconds."
)
return file
class FilesWithRawResponse:
def __init__(self, files: Files) -> None:
self._files = files
self.create = _legacy_response.to_raw_response_wrapper(
files.create,
)
self.retrieve = _legacy_response.to_raw_response_wrapper(
files.retrieve,
)
self.list = _legacy_response.to_raw_response_wrapper(
files.list,
)
self.delete = _legacy_response.to_raw_response_wrapper(
files.delete,
)
self.content = _legacy_response.to_raw_response_wrapper(
files.content,
)
self.retrieve_content = ( # pyright: ignore[reportDeprecated]
_legacy_response.to_raw_response_wrapper(
files.retrieve_content # pyright: ignore[reportDeprecated],
)
)
class AsyncFilesWithRawResponse:
def __init__(self, files: AsyncFiles) -> None:
self._files = files
self.create = _legacy_response.async_to_raw_response_wrapper(
files.create,
)
self.retrieve = _legacy_response.async_to_raw_response_wrapper(
files.retrieve,
)
self.list = _legacy_response.async_to_raw_response_wrapper(
files.list,
)
self.delete = _legacy_response.async_to_raw_response_wrapper(
files.delete,
)
self.content = _legacy_response.async_to_raw_response_wrapper(
files.content,
)
self.retrieve_content = ( # pyright: ignore[reportDeprecated]
_legacy_response.async_to_raw_response_wrapper(
files.retrieve_content # pyright: ignore[reportDeprecated],
)
)
class FilesWithStreamingResponse:
def __init__(self, files: Files) -> None:
self._files = files
self.create = to_streamed_response_wrapper(
files.create,
)
self.retrieve = to_streamed_response_wrapper(
files.retrieve,
)
self.list = to_streamed_response_wrapper(
files.list,
)
self.delete = to_streamed_response_wrapper(
files.delete,
)
self.content = to_custom_streamed_response_wrapper(
files.content,
StreamedBinaryAPIResponse,
)
self.retrieve_content = ( # pyright: ignore[reportDeprecated]
to_streamed_response_wrapper(
files.retrieve_content # pyright: ignore[reportDeprecated],
)
)
class AsyncFilesWithStreamingResponse:
def __init__(self, files: AsyncFiles) -> None:
self._files = files
self.create = async_to_streamed_response_wrapper(
files.create,
)
self.retrieve = async_to_streamed_response_wrapper(
files.retrieve,
)
self.list = async_to_streamed_response_wrapper(
files.list,
)
self.delete = async_to_streamed_response_wrapper(
files.delete,
)
self.content = async_to_custom_streamed_response_wrapper(
files.content,
AsyncStreamedBinaryAPIResponse,
)
self.retrieve_content = ( # pyright: ignore[reportDeprecated]
async_to_streamed_response_wrapper(
files.retrieve_content # pyright: ignore[reportDeprecated],
)
)
@@ -0,0 +1,33 @@
# File generated from our OpenAPI spec by Stainless.
from .jobs import (
Jobs,
AsyncJobs,
JobsWithRawResponse,
AsyncJobsWithRawResponse,
JobsWithStreamingResponse,
AsyncJobsWithStreamingResponse,
)
from .fine_tuning import (
FineTuning,
AsyncFineTuning,
FineTuningWithRawResponse,
AsyncFineTuningWithRawResponse,
FineTuningWithStreamingResponse,
AsyncFineTuningWithStreamingResponse,
)
__all__ = [
"Jobs",
"AsyncJobs",
"JobsWithRawResponse",
"AsyncJobsWithRawResponse",
"JobsWithStreamingResponse",
"AsyncJobsWithStreamingResponse",
"FineTuning",
"AsyncFineTuning",
"FineTuningWithRawResponse",
"AsyncFineTuningWithRawResponse",
"FineTuningWithStreamingResponse",
"AsyncFineTuningWithStreamingResponse",
]
@@ -0,0 +1,80 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
from .jobs import (
Jobs,
AsyncJobs,
JobsWithRawResponse,
AsyncJobsWithRawResponse,
JobsWithStreamingResponse,
AsyncJobsWithStreamingResponse,
)
from ..._compat import cached_property
from ..._resource import SyncAPIResource, AsyncAPIResource
__all__ = ["FineTuning", "AsyncFineTuning"]
class FineTuning(SyncAPIResource):
@cached_property
def jobs(self) -> Jobs:
return Jobs(self._client)
@cached_property
def with_raw_response(self) -> FineTuningWithRawResponse:
return FineTuningWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> FineTuningWithStreamingResponse:
return FineTuningWithStreamingResponse(self)
class AsyncFineTuning(AsyncAPIResource):
@cached_property
def jobs(self) -> AsyncJobs:
return AsyncJobs(self._client)
@cached_property
def with_raw_response(self) -> AsyncFineTuningWithRawResponse:
return AsyncFineTuningWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncFineTuningWithStreamingResponse:
return AsyncFineTuningWithStreamingResponse(self)
class FineTuningWithRawResponse:
def __init__(self, fine_tuning: FineTuning) -> None:
self._fine_tuning = fine_tuning
@cached_property
def jobs(self) -> JobsWithRawResponse:
return JobsWithRawResponse(self._fine_tuning.jobs)
class AsyncFineTuningWithRawResponse:
def __init__(self, fine_tuning: AsyncFineTuning) -> None:
self._fine_tuning = fine_tuning
@cached_property
def jobs(self) -> AsyncJobsWithRawResponse:
return AsyncJobsWithRawResponse(self._fine_tuning.jobs)
class FineTuningWithStreamingResponse:
def __init__(self, fine_tuning: FineTuning) -> None:
self._fine_tuning = fine_tuning
@cached_property
def jobs(self) -> JobsWithStreamingResponse:
return JobsWithStreamingResponse(self._fine_tuning.jobs)
class AsyncFineTuningWithStreamingResponse:
def __init__(self, fine_tuning: AsyncFineTuning) -> None:
self._fine_tuning = fine_tuning
@cached_property
def jobs(self) -> AsyncJobsWithStreamingResponse:
return AsyncJobsWithStreamingResponse(self._fine_tuning.jobs)
@@ -0,0 +1,635 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
from typing import Union, Optional
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 to_streamed_response_wrapper, async_to_streamed_response_wrapper
from ...pagination import SyncCursorPage, AsyncCursorPage
from ..._base_client import (
AsyncPaginator,
make_request_options,
)
from ...types.fine_tuning import (
FineTuningJob,
FineTuningJobEvent,
job_list_params,
job_create_params,
job_list_events_params,
)
__all__ = ["Jobs", "AsyncJobs"]
class Jobs(SyncAPIResource):
@cached_property
def with_raw_response(self) -> JobsWithRawResponse:
return JobsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> JobsWithStreamingResponse:
return JobsWithStreamingResponse(self)
def create(
self,
*,
model: Union[str, Literal["babbage-002", "davinci-002", "gpt-3.5-turbo"]],
training_file: str,
hyperparameters: job_create_params.Hyperparameters | NotGiven = NOT_GIVEN,
suffix: Optional[str] | NotGiven = NOT_GIVEN,
validation_file: Optional[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,
) -> FineTuningJob:
"""
Creates a fine-tuning job which begins the process of creating a new model from
a given dataset.
Response includes details of the enqueued job including job status and the name
of the fine-tuned models once complete.
[Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
Args:
model: The name of the model to fine-tune. You can select one of the
[supported models](https://platform.openai.com/docs/guides/fine-tuning/what-models-can-be-fine-tuned).
training_file: The ID of an uploaded file that contains training data.
See [upload file](https://platform.openai.com/docs/api-reference/files/upload)
for how to upload a file.
Your dataset must be formatted as a JSONL file. Additionally, you must upload
your file with the purpose `fine-tune`.
See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
for more details.
hyperparameters: The hyperparameters used for the fine-tuning job.
suffix: A string of up to 18 characters that will be added to your fine-tuned model
name.
For example, a `suffix` of "custom-model-name" would produce a model name like
`ft:gpt-3.5-turbo:openai:custom-model-name:7p4lURel`.
validation_file: The ID of an uploaded file that contains validation data.
If you provide this file, the data is used to generate validation metrics
periodically during fine-tuning. These metrics can be viewed in the fine-tuning
results file. The same data should not be present in both train and validation
files.
Your dataset must be formatted as a JSONL file. You must upload your file with
the purpose `fine-tune`.
See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
for more details.
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(
"/fine_tuning/jobs",
body=maybe_transform(
{
"model": model,
"training_file": training_file,
"hyperparameters": hyperparameters,
"suffix": suffix,
"validation_file": validation_file,
},
job_create_params.JobCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=FineTuningJob,
)
def retrieve(
self,
fine_tuning_job_id: str,
*,
# 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,
) -> FineTuningJob:
"""
Get info about a fine-tuning job.
[Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
Args:
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
"""
if not fine_tuning_job_id:
raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
return self._get(
f"/fine_tuning/jobs/{fine_tuning_job_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=FineTuningJob,
)
def list(
self,
*,
after: str | NotGiven = NOT_GIVEN,
limit: int | 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,
) -> SyncCursorPage[FineTuningJob]:
"""
List your organization's fine-tuning jobs
Args:
after: Identifier for the last job from the previous pagination request.
limit: Number of fine-tuning jobs to retrieve.
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._get_api_list(
"/fine_tuning/jobs",
page=SyncCursorPage[FineTuningJob],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"limit": limit,
},
job_list_params.JobListParams,
),
),
model=FineTuningJob,
)
def cancel(
self,
fine_tuning_job_id: str,
*,
# 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,
) -> FineTuningJob:
"""
Immediately cancel a fine-tune job.
Args:
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
"""
if not fine_tuning_job_id:
raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
return self._post(
f"/fine_tuning/jobs/{fine_tuning_job_id}/cancel",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=FineTuningJob,
)
def list_events(
self,
fine_tuning_job_id: str,
*,
after: str | NotGiven = NOT_GIVEN,
limit: int | 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,
) -> SyncCursorPage[FineTuningJobEvent]:
"""
Get status updates for a fine-tuning job.
Args:
after: Identifier for the last event from the previous pagination request.
limit: Number of events to retrieve.
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
"""
if not fine_tuning_job_id:
raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
return self._get_api_list(
f"/fine_tuning/jobs/{fine_tuning_job_id}/events",
page=SyncCursorPage[FineTuningJobEvent],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"limit": limit,
},
job_list_events_params.JobListEventsParams,
),
),
model=FineTuningJobEvent,
)
class AsyncJobs(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncJobsWithRawResponse:
return AsyncJobsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncJobsWithStreamingResponse:
return AsyncJobsWithStreamingResponse(self)
async def create(
self,
*,
model: Union[str, Literal["babbage-002", "davinci-002", "gpt-3.5-turbo"]],
training_file: str,
hyperparameters: job_create_params.Hyperparameters | NotGiven = NOT_GIVEN,
suffix: Optional[str] | NotGiven = NOT_GIVEN,
validation_file: Optional[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,
) -> FineTuningJob:
"""
Creates a fine-tuning job which begins the process of creating a new model from
a given dataset.
Response includes details of the enqueued job including job status and the name
of the fine-tuned models once complete.
[Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
Args:
model: The name of the model to fine-tune. You can select one of the
[supported models](https://platform.openai.com/docs/guides/fine-tuning/what-models-can-be-fine-tuned).
training_file: The ID of an uploaded file that contains training data.
See [upload file](https://platform.openai.com/docs/api-reference/files/upload)
for how to upload a file.
Your dataset must be formatted as a JSONL file. Additionally, you must upload
your file with the purpose `fine-tune`.
See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
for more details.
hyperparameters: The hyperparameters used for the fine-tuning job.
suffix: A string of up to 18 characters that will be added to your fine-tuned model
name.
For example, a `suffix` of "custom-model-name" would produce a model name like
`ft:gpt-3.5-turbo:openai:custom-model-name:7p4lURel`.
validation_file: The ID of an uploaded file that contains validation data.
If you provide this file, the data is used to generate validation metrics
periodically during fine-tuning. These metrics can be viewed in the fine-tuning
results file. The same data should not be present in both train and validation
files.
Your dataset must be formatted as a JSONL file. You must upload your file with
the purpose `fine-tune`.
See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
for more details.
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(
"/fine_tuning/jobs",
body=maybe_transform(
{
"model": model,
"training_file": training_file,
"hyperparameters": hyperparameters,
"suffix": suffix,
"validation_file": validation_file,
},
job_create_params.JobCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=FineTuningJob,
)
async def retrieve(
self,
fine_tuning_job_id: str,
*,
# 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,
) -> FineTuningJob:
"""
Get info about a fine-tuning job.
[Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
Args:
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
"""
if not fine_tuning_job_id:
raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
return await self._get(
f"/fine_tuning/jobs/{fine_tuning_job_id}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=FineTuningJob,
)
def list(
self,
*,
after: str | NotGiven = NOT_GIVEN,
limit: int | 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,
) -> AsyncPaginator[FineTuningJob, AsyncCursorPage[FineTuningJob]]:
"""
List your organization's fine-tuning jobs
Args:
after: Identifier for the last job from the previous pagination request.
limit: Number of fine-tuning jobs to retrieve.
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._get_api_list(
"/fine_tuning/jobs",
page=AsyncCursorPage[FineTuningJob],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"limit": limit,
},
job_list_params.JobListParams,
),
),
model=FineTuningJob,
)
async def cancel(
self,
fine_tuning_job_id: str,
*,
# 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,
) -> FineTuningJob:
"""
Immediately cancel a fine-tune job.
Args:
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
"""
if not fine_tuning_job_id:
raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
return await self._post(
f"/fine_tuning/jobs/{fine_tuning_job_id}/cancel",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=FineTuningJob,
)
def list_events(
self,
fine_tuning_job_id: str,
*,
after: str | NotGiven = NOT_GIVEN,
limit: int | 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,
) -> AsyncPaginator[FineTuningJobEvent, AsyncCursorPage[FineTuningJobEvent]]:
"""
Get status updates for a fine-tuning job.
Args:
after: Identifier for the last event from the previous pagination request.
limit: Number of events to retrieve.
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
"""
if not fine_tuning_job_id:
raise ValueError(f"Expected a non-empty value for `fine_tuning_job_id` but received {fine_tuning_job_id!r}")
return self._get_api_list(
f"/fine_tuning/jobs/{fine_tuning_job_id}/events",
page=AsyncCursorPage[FineTuningJobEvent],
options=make_request_options(
extra_headers=extra_headers,
extra_query=extra_query,
extra_body=extra_body,
timeout=timeout,
query=maybe_transform(
{
"after": after,
"limit": limit,
},
job_list_events_params.JobListEventsParams,
),
),
model=FineTuningJobEvent,
)
class JobsWithRawResponse:
def __init__(self, jobs: Jobs) -> None:
self._jobs = jobs
self.create = _legacy_response.to_raw_response_wrapper(
jobs.create,
)
self.retrieve = _legacy_response.to_raw_response_wrapper(
jobs.retrieve,
)
self.list = _legacy_response.to_raw_response_wrapper(
jobs.list,
)
self.cancel = _legacy_response.to_raw_response_wrapper(
jobs.cancel,
)
self.list_events = _legacy_response.to_raw_response_wrapper(
jobs.list_events,
)
class AsyncJobsWithRawResponse:
def __init__(self, jobs: AsyncJobs) -> None:
self._jobs = jobs
self.create = _legacy_response.async_to_raw_response_wrapper(
jobs.create,
)
self.retrieve = _legacy_response.async_to_raw_response_wrapper(
jobs.retrieve,
)
self.list = _legacy_response.async_to_raw_response_wrapper(
jobs.list,
)
self.cancel = _legacy_response.async_to_raw_response_wrapper(
jobs.cancel,
)
self.list_events = _legacy_response.async_to_raw_response_wrapper(
jobs.list_events,
)
class JobsWithStreamingResponse:
def __init__(self, jobs: Jobs) -> None:
self._jobs = jobs
self.create = to_streamed_response_wrapper(
jobs.create,
)
self.retrieve = to_streamed_response_wrapper(
jobs.retrieve,
)
self.list = to_streamed_response_wrapper(
jobs.list,
)
self.cancel = to_streamed_response_wrapper(
jobs.cancel,
)
self.list_events = to_streamed_response_wrapper(
jobs.list_events,
)
class AsyncJobsWithStreamingResponse:
def __init__(self, jobs: AsyncJobs) -> None:
self._jobs = jobs
self.create = async_to_streamed_response_wrapper(
jobs.create,
)
self.retrieve = async_to_streamed_response_wrapper(
jobs.retrieve,
)
self.list = async_to_streamed_response_wrapper(
jobs.list,
)
self.cancel = async_to_streamed_response_wrapper(
jobs.cancel,
)
self.list_events = async_to_streamed_response_wrapper(
jobs.list_events,
)
@@ -0,0 +1,576 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
from typing import Union, Mapping, Optional, cast
from typing_extensions import Literal
import httpx
from .. import _legacy_response
from ..types import (
ImagesResponse,
image_edit_params,
image_generate_params,
image_create_variation_params,
)
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 .._base_client import (
make_request_options,
)
__all__ = ["Images", "AsyncImages"]
class Images(SyncAPIResource):
@cached_property
def with_raw_response(self) -> ImagesWithRawResponse:
return ImagesWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> ImagesWithStreamingResponse:
return ImagesWithStreamingResponse(self)
def create_variation(
self,
*,
image: FileTypes,
model: Union[str, Literal["dall-e-2"], None] | NotGiven = NOT_GIVEN,
n: Optional[int] | NotGiven = NOT_GIVEN,
response_format: Optional[Literal["url", "b64_json"]] | NotGiven = NOT_GIVEN,
size: Optional[Literal["256x256", "512x512", "1024x1024"]] | 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,
) -> ImagesResponse:
"""
Creates a variation of a given image.
Args:
image: The image to use as the basis for the variation(s). Must be a valid PNG file,
less than 4MB, and square.
model: The model to use for image generation. Only `dall-e-2` is supported at this
time.
n: The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only
`n=1` is supported.
response_format: The format in which the generated images are returned. Must be one of `url` or
`b64_json`.
size: The size of the generated images. Must be one of `256x256`, `512x512`, or
`1024x1024`.
user: A unique identifier representing your end-user, which can help OpenAI to monitor
and detect abuse.
[Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids).
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(
{
"image": image,
"model": model,
"n": n,
"response_format": response_format,
"size": size,
"user": user,
}
)
files = extract_files(cast(Mapping[str, object], body), paths=[["image"]])
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(
"/images/variations",
body=maybe_transform(body, image_create_variation_params.ImageCreateVariationParams),
files=files,
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ImagesResponse,
)
def edit(
self,
*,
image: FileTypes,
prompt: str,
mask: FileTypes | NotGiven = NOT_GIVEN,
model: Union[str, Literal["dall-e-2"], None] | NotGiven = NOT_GIVEN,
n: Optional[int] | NotGiven = NOT_GIVEN,
response_format: Optional[Literal["url", "b64_json"]] | NotGiven = NOT_GIVEN,
size: Optional[Literal["256x256", "512x512", "1024x1024"]] | 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,
) -> ImagesResponse:
"""
Creates an edited or extended image given an original image and a prompt.
Args:
image: The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask
is not provided, image must have transparency, which will be used as the mask.
prompt: A text description of the desired image(s). The maximum length is 1000
characters.
mask: An additional image whose fully transparent areas (e.g. where alpha is zero)
indicate where `image` should be edited. Must be a valid PNG file, less than
4MB, and have the same dimensions as `image`.
model: The model to use for image generation. Only `dall-e-2` is supported at this
time.
n: The number of images to generate. Must be between 1 and 10.
response_format: The format in which the generated images are returned. Must be one of `url` or
`b64_json`.
size: The size of the generated images. Must be one of `256x256`, `512x512`, or
`1024x1024`.
user: A unique identifier representing your end-user, which can help OpenAI to monitor
and detect abuse.
[Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids).
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(
{
"image": image,
"prompt": prompt,
"mask": mask,
"model": model,
"n": n,
"response_format": response_format,
"size": size,
"user": user,
}
)
files = extract_files(cast(Mapping[str, object], body), paths=[["image"], ["mask"]])
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(
"/images/edits",
body=maybe_transform(body, image_edit_params.ImageEditParams),
files=files,
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ImagesResponse,
)
def generate(
self,
*,
prompt: str,
model: Union[str, Literal["dall-e-2", "dall-e-3"], None] | NotGiven = NOT_GIVEN,
n: Optional[int] | NotGiven = NOT_GIVEN,
quality: Literal["standard", "hd"] | NotGiven = NOT_GIVEN,
response_format: Optional[Literal["url", "b64_json"]] | NotGiven = NOT_GIVEN,
size: Optional[Literal["256x256", "512x512", "1024x1024", "1792x1024", "1024x1792"]] | NotGiven = NOT_GIVEN,
style: Optional[Literal["vivid", "natural"]] | 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,
) -> ImagesResponse:
"""
Creates an image given a prompt.
Args:
prompt: A text description of the desired image(s). The maximum length is 1000
characters for `dall-e-2` and 4000 characters for `dall-e-3`.
model: The model to use for image generation.
n: The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only
`n=1` is supported.
quality: The quality of the image that will be generated. `hd` creates images with finer
details and greater consistency across the image. This param is only supported
for `dall-e-3`.
response_format: The format in which the generated images are returned. Must be one of `url` or
`b64_json`.
size: The size of the generated images. Must be one of `256x256`, `512x512`, or
`1024x1024` for `dall-e-2`. Must be one of `1024x1024`, `1792x1024`, or
`1024x1792` for `dall-e-3` models.
style: The style of the generated images. Must be one of `vivid` or `natural`. Vivid
causes the model to lean towards generating hyper-real and dramatic images.
Natural causes the model to produce more natural, less hyper-real looking
images. This param is only supported for `dall-e-3`.
user: A unique identifier representing your end-user, which can help OpenAI to monitor
and detect abuse.
[Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids).
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(
"/images/generations",
body=maybe_transform(
{
"prompt": prompt,
"model": model,
"n": n,
"quality": quality,
"response_format": response_format,
"size": size,
"style": style,
"user": user,
},
image_generate_params.ImageGenerateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ImagesResponse,
)
class AsyncImages(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncImagesWithRawResponse:
return AsyncImagesWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncImagesWithStreamingResponse:
return AsyncImagesWithStreamingResponse(self)
async def create_variation(
self,
*,
image: FileTypes,
model: Union[str, Literal["dall-e-2"], None] | NotGiven = NOT_GIVEN,
n: Optional[int] | NotGiven = NOT_GIVEN,
response_format: Optional[Literal["url", "b64_json"]] | NotGiven = NOT_GIVEN,
size: Optional[Literal["256x256", "512x512", "1024x1024"]] | 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,
) -> ImagesResponse:
"""
Creates a variation of a given image.
Args:
image: The image to use as the basis for the variation(s). Must be a valid PNG file,
less than 4MB, and square.
model: The model to use for image generation. Only `dall-e-2` is supported at this
time.
n: The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only
`n=1` is supported.
response_format: The format in which the generated images are returned. Must be one of `url` or
`b64_json`.
size: The size of the generated images. Must be one of `256x256`, `512x512`, or
`1024x1024`.
user: A unique identifier representing your end-user, which can help OpenAI to monitor
and detect abuse.
[Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids).
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(
{
"image": image,
"model": model,
"n": n,
"response_format": response_format,
"size": size,
"user": user,
}
)
files = extract_files(cast(Mapping[str, object], body), paths=[["image"]])
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(
"/images/variations",
body=maybe_transform(body, image_create_variation_params.ImageCreateVariationParams),
files=files,
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ImagesResponse,
)
async def edit(
self,
*,
image: FileTypes,
prompt: str,
mask: FileTypes | NotGiven = NOT_GIVEN,
model: Union[str, Literal["dall-e-2"], None] | NotGiven = NOT_GIVEN,
n: Optional[int] | NotGiven = NOT_GIVEN,
response_format: Optional[Literal["url", "b64_json"]] | NotGiven = NOT_GIVEN,
size: Optional[Literal["256x256", "512x512", "1024x1024"]] | 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,
) -> ImagesResponse:
"""
Creates an edited or extended image given an original image and a prompt.
Args:
image: The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask
is not provided, image must have transparency, which will be used as the mask.
prompt: A text description of the desired image(s). The maximum length is 1000
characters.
mask: An additional image whose fully transparent areas (e.g. where alpha is zero)
indicate where `image` should be edited. Must be a valid PNG file, less than
4MB, and have the same dimensions as `image`.
model: The model to use for image generation. Only `dall-e-2` is supported at this
time.
n: The number of images to generate. Must be between 1 and 10.
response_format: The format in which the generated images are returned. Must be one of `url` or
`b64_json`.
size: The size of the generated images. Must be one of `256x256`, `512x512`, or
`1024x1024`.
user: A unique identifier representing your end-user, which can help OpenAI to monitor
and detect abuse.
[Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids).
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(
{
"image": image,
"prompt": prompt,
"mask": mask,
"model": model,
"n": n,
"response_format": response_format,
"size": size,
"user": user,
}
)
files = extract_files(cast(Mapping[str, object], body), paths=[["image"], ["mask"]])
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(
"/images/edits",
body=maybe_transform(body, image_edit_params.ImageEditParams),
files=files,
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ImagesResponse,
)
async def generate(
self,
*,
prompt: str,
model: Union[str, Literal["dall-e-2", "dall-e-3"], None] | NotGiven = NOT_GIVEN,
n: Optional[int] | NotGiven = NOT_GIVEN,
quality: Literal["standard", "hd"] | NotGiven = NOT_GIVEN,
response_format: Optional[Literal["url", "b64_json"]] | NotGiven = NOT_GIVEN,
size: Optional[Literal["256x256", "512x512", "1024x1024", "1792x1024", "1024x1792"]] | NotGiven = NOT_GIVEN,
style: Optional[Literal["vivid", "natural"]] | 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,
) -> ImagesResponse:
"""
Creates an image given a prompt.
Args:
prompt: A text description of the desired image(s). The maximum length is 1000
characters for `dall-e-2` and 4000 characters for `dall-e-3`.
model: The model to use for image generation.
n: The number of images to generate. Must be between 1 and 10. For `dall-e-3`, only
`n=1` is supported.
quality: The quality of the image that will be generated. `hd` creates images with finer
details and greater consistency across the image. This param is only supported
for `dall-e-3`.
response_format: The format in which the generated images are returned. Must be one of `url` or
`b64_json`.
size: The size of the generated images. Must be one of `256x256`, `512x512`, or
`1024x1024` for `dall-e-2`. Must be one of `1024x1024`, `1792x1024`, or
`1024x1792` for `dall-e-3` models.
style: The style of the generated images. Must be one of `vivid` or `natural`. Vivid
causes the model to lean towards generating hyper-real and dramatic images.
Natural causes the model to produce more natural, less hyper-real looking
images. This param is only supported for `dall-e-3`.
user: A unique identifier representing your end-user, which can help OpenAI to monitor
and detect abuse.
[Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids).
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(
"/images/generations",
body=maybe_transform(
{
"prompt": prompt,
"model": model,
"n": n,
"quality": quality,
"response_format": response_format,
"size": size,
"style": style,
"user": user,
},
image_generate_params.ImageGenerateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ImagesResponse,
)
class ImagesWithRawResponse:
def __init__(self, images: Images) -> None:
self._images = images
self.create_variation = _legacy_response.to_raw_response_wrapper(
images.create_variation,
)
self.edit = _legacy_response.to_raw_response_wrapper(
images.edit,
)
self.generate = _legacy_response.to_raw_response_wrapper(
images.generate,
)
class AsyncImagesWithRawResponse:
def __init__(self, images: AsyncImages) -> None:
self._images = images
self.create_variation = _legacy_response.async_to_raw_response_wrapper(
images.create_variation,
)
self.edit = _legacy_response.async_to_raw_response_wrapper(
images.edit,
)
self.generate = _legacy_response.async_to_raw_response_wrapper(
images.generate,
)
class ImagesWithStreamingResponse:
def __init__(self, images: Images) -> None:
self._images = images
self.create_variation = to_streamed_response_wrapper(
images.create_variation,
)
self.edit = to_streamed_response_wrapper(
images.edit,
)
self.generate = to_streamed_response_wrapper(
images.generate,
)
class AsyncImagesWithStreamingResponse:
def __init__(self, images: AsyncImages) -> None:
self._images = images
self.create_variation = async_to_streamed_response_wrapper(
images.create_variation,
)
self.edit = async_to_streamed_response_wrapper(
images.edit,
)
self.generate = async_to_streamed_response_wrapper(
images.generate,
)
@@ -0,0 +1,283 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
import httpx
from .. import _legacy_response
from ..types import Model, ModelDeleted
from .._types import NOT_GIVEN, Body, Query, Headers, NotGiven
from .._compat import cached_property
from .._resource import SyncAPIResource, AsyncAPIResource
from .._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
from ..pagination import SyncPage, AsyncPage
from .._base_client import (
AsyncPaginator,
make_request_options,
)
__all__ = ["Models", "AsyncModels"]
class Models(SyncAPIResource):
@cached_property
def with_raw_response(self) -> ModelsWithRawResponse:
return ModelsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> ModelsWithStreamingResponse:
return ModelsWithStreamingResponse(self)
def retrieve(
self,
model: str,
*,
# 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,
) -> Model:
"""
Retrieves a model instance, providing basic information about the model such as
the owner and permissioning.
Args:
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
"""
if not model:
raise ValueError(f"Expected a non-empty value for `model` but received {model!r}")
return self._get(
f"/models/{model}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Model,
)
def list(
self,
*,
# 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,
) -> SyncPage[Model]:
"""
Lists the currently available models, and provides basic information about each
one such as the owner and availability.
"""
return self._get_api_list(
"/models",
page=SyncPage[Model],
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
model=Model,
)
def delete(
self,
model: str,
*,
# 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,
) -> ModelDeleted:
"""Delete a fine-tuned model.
You must have the Owner role in your organization to
delete a model.
Args:
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
"""
if not model:
raise ValueError(f"Expected a non-empty value for `model` but received {model!r}")
return self._delete(
f"/models/{model}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ModelDeleted,
)
class AsyncModels(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncModelsWithRawResponse:
return AsyncModelsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncModelsWithStreamingResponse:
return AsyncModelsWithStreamingResponse(self)
async def retrieve(
self,
model: str,
*,
# 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,
) -> Model:
"""
Retrieves a model instance, providing basic information about the model such as
the owner and permissioning.
Args:
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
"""
if not model:
raise ValueError(f"Expected a non-empty value for `model` but received {model!r}")
return await self._get(
f"/models/{model}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=Model,
)
def list(
self,
*,
# 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,
) -> AsyncPaginator[Model, AsyncPage[Model]]:
"""
Lists the currently available models, and provides basic information about each
one such as the owner and availability.
"""
return self._get_api_list(
"/models",
page=AsyncPage[Model],
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
model=Model,
)
async def delete(
self,
model: str,
*,
# 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,
) -> ModelDeleted:
"""Delete a fine-tuned model.
You must have the Owner role in your organization to
delete a model.
Args:
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
"""
if not model:
raise ValueError(f"Expected a non-empty value for `model` but received {model!r}")
return await self._delete(
f"/models/{model}",
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ModelDeleted,
)
class ModelsWithRawResponse:
def __init__(self, models: Models) -> None:
self._models = models
self.retrieve = _legacy_response.to_raw_response_wrapper(
models.retrieve,
)
self.list = _legacy_response.to_raw_response_wrapper(
models.list,
)
self.delete = _legacy_response.to_raw_response_wrapper(
models.delete,
)
class AsyncModelsWithRawResponse:
def __init__(self, models: AsyncModels) -> None:
self._models = models
self.retrieve = _legacy_response.async_to_raw_response_wrapper(
models.retrieve,
)
self.list = _legacy_response.async_to_raw_response_wrapper(
models.list,
)
self.delete = _legacy_response.async_to_raw_response_wrapper(
models.delete,
)
class ModelsWithStreamingResponse:
def __init__(self, models: Models) -> None:
self._models = models
self.retrieve = to_streamed_response_wrapper(
models.retrieve,
)
self.list = to_streamed_response_wrapper(
models.list,
)
self.delete = to_streamed_response_wrapper(
models.delete,
)
class AsyncModelsWithStreamingResponse:
def __init__(self, models: AsyncModels) -> None:
self._models = models
self.retrieve = async_to_streamed_response_wrapper(
models.retrieve,
)
self.list = async_to_streamed_response_wrapper(
models.list,
)
self.delete = async_to_streamed_response_wrapper(
models.delete,
)
@@ -0,0 +1,177 @@
# File generated from our OpenAPI spec by Stainless.
from __future__ import annotations
from typing import List, Union
from typing_extensions import Literal
import httpx
from .. import _legacy_response
from ..types import ModerationCreateResponse, moderation_create_params
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 to_streamed_response_wrapper, async_to_streamed_response_wrapper
from .._base_client import (
make_request_options,
)
__all__ = ["Moderations", "AsyncModerations"]
class Moderations(SyncAPIResource):
@cached_property
def with_raw_response(self) -> ModerationsWithRawResponse:
return ModerationsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> ModerationsWithStreamingResponse:
return ModerationsWithStreamingResponse(self)
def create(
self,
*,
input: Union[str, List[str]],
model: Union[str, Literal["text-moderation-latest", "text-moderation-stable"]] | 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,
) -> ModerationCreateResponse:
"""
Classifies if text violates OpenAI's Content Policy
Args:
input: The input text to classify
model: Two content moderations models are available: `text-moderation-stable` and
`text-moderation-latest`.
The default is `text-moderation-latest` which will be automatically upgraded
over time. This ensures you are always using our most accurate model. If you use
`text-moderation-stable`, we will provide advanced notice before updating the
model. Accuracy of `text-moderation-stable` may be slightly lower than for
`text-moderation-latest`.
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(
"/moderations",
body=maybe_transform(
{
"input": input,
"model": model,
},
moderation_create_params.ModerationCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ModerationCreateResponse,
)
class AsyncModerations(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncModerationsWithRawResponse:
return AsyncModerationsWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncModerationsWithStreamingResponse:
return AsyncModerationsWithStreamingResponse(self)
async def create(
self,
*,
input: Union[str, List[str]],
model: Union[str, Literal["text-moderation-latest", "text-moderation-stable"]] | 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,
) -> ModerationCreateResponse:
"""
Classifies if text violates OpenAI's Content Policy
Args:
input: The input text to classify
model: Two content moderations models are available: `text-moderation-stable` and
`text-moderation-latest`.
The default is `text-moderation-latest` which will be automatically upgraded
over time. This ensures you are always using our most accurate model. If you use
`text-moderation-stable`, we will provide advanced notice before updating the
model. Accuracy of `text-moderation-stable` may be slightly lower than for
`text-moderation-latest`.
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(
"/moderations",
body=maybe_transform(
{
"input": input,
"model": model,
},
moderation_create_params.ModerationCreateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=ModerationCreateResponse,
)
class ModerationsWithRawResponse:
def __init__(self, moderations: Moderations) -> None:
self._moderations = moderations
self.create = _legacy_response.to_raw_response_wrapper(
moderations.create,
)
class AsyncModerationsWithRawResponse:
def __init__(self, moderations: AsyncModerations) -> None:
self._moderations = moderations
self.create = _legacy_response.async_to_raw_response_wrapper(
moderations.create,
)
class ModerationsWithStreamingResponse:
def __init__(self, moderations: Moderations) -> None:
self._moderations = moderations
self.create = to_streamed_response_wrapper(
moderations.create,
)
class AsyncModerationsWithStreamingResponse:
def __init__(self, moderations: AsyncModerations) -> None:
self._moderations = moderations
self.create = async_to_streamed_response_wrapper(
moderations.create,
)