536 lines
21 KiB
Python
536 lines
21 KiB
Python
|
# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
|
||
|
|
|
||
|
|
from __future__ import annotations
|
||
|
|
|
||
|
|
import os
|
||
|
|
from typing import Any, Union, Mapping
|
||
|
|
from typing_extensions import Self, override
|
||
|
|
|
||
|
|
import httpx
|
||
|
|
|
||
|
|
from . import resources, _exceptions
|
||
|
|
from ._qs import Querystring
|
||
|
|
from ._types import (
|
||
|
|
NOT_GIVEN,
|
||
|
|
Omit,
|
||
|
|
Timeout,
|
||
|
|
NotGiven,
|
||
|
|
Transport,
|
||
|
|
ProxiesTypes,
|
||
|
|
RequestOptions,
|
||
|
|
)
|
||
|
|
from ._utils import (
|
||
|
|
is_given,
|
||
|
|
is_mapping,
|
||
|
|
get_async_library,
|
||
|
|
)
|
||
|
|
from ._version import __version__
|
||
|
|
from ._streaming import Stream as Stream, AsyncStream as AsyncStream
|
||
|
|
from ._exceptions import OpenAIError, APIStatusError
|
||
|
|
from ._base_client import (
|
||
|
|
DEFAULT_MAX_RETRIES,
|
||
|
|
SyncAPIClient,
|
||
|
|
AsyncAPIClient,
|
||
|
|
)
|
||
|
|
|
||
|
|
__all__ = [
|
||
|
|
"Timeout",
|
||
|
|
"Transport",
|
||
|
|
"ProxiesTypes",
|
||
|
|
"RequestOptions",
|
||
|
|
"resources",
|
||
|
|
"OpenAI",
|
||
|
|
"AsyncOpenAI",
|
||
|
|
"Client",
|
||
|
|
"AsyncClient",
|
||
|
|
]
|
||
|
|
|
||
|
|
|
||
|
|
class OpenAI(SyncAPIClient):
|
||
|
|
completions: resources.Completions
|
||
|
|
chat: resources.Chat
|
||
|
|
embeddings: resources.Embeddings
|
||
|
|
files: resources.Files
|
||
|
|
images: resources.Images
|
||
|
|
audio: resources.Audio
|
||
|
|
moderations: resources.Moderations
|
||
|
|
models: resources.Models
|
||
|
|
fine_tuning: resources.FineTuning
|
||
|
|
beta: resources.Beta
|
||
|
|
batches: resources.Batches
|
||
|
|
with_raw_response: OpenAIWithRawResponse
|
||
|
|
with_streaming_response: OpenAIWithStreamedResponse
|
||
|
|
|
||
|
|
# client options
|
||
|
|
api_key: str
|
||
|
|
organization: str | None
|
||
|
|
project: str | None
|
||
|
|
|
||
|
|
def __init__(
|
||
|
|
self,
|
||
|
|
*,
|
||
|
|
api_key: str | None = None,
|
||
|
|
organization: str | None = None,
|
||
|
|
project: str | None = None,
|
||
|
|
base_url: str | httpx.URL | None = None,
|
||
|
|
timeout: Union[float, Timeout, None, NotGiven] = NOT_GIVEN,
|
||
|
|
max_retries: int = DEFAULT_MAX_RETRIES,
|
||
|
|
default_headers: Mapping[str, str] | None = None,
|
||
|
|
default_query: Mapping[str, object] | None = None,
|
||
|
|
# Configure a custom httpx client.
|
||
|
|
# We provide a `DefaultHttpxClient` class that you can pass to retain the default values we use for `limits`, `timeout` & `follow_redirects`.
|
||
|
|
# See the [httpx documentation](https://www.python-httpx.org/api/#client) for more details.
|
||
|
|
http_client: httpx.Client | None = None,
|
||
|
|
# Enable or disable schema validation for data returned by the API.
|
||
|
|
# When enabled an error APIResponseValidationError is raised
|
||
|
|
# if the API responds with invalid data for the expected schema.
|
||
|
|
#
|
||
|
|
# This parameter may be removed or changed in the future.
|
||
|
|
# If you rely on this feature, please open a GitHub issue
|
||
|
|
# outlining your use-case to help us decide if it should be
|
||
|
|
# part of our public interface in the future.
|
||
|
|
_strict_response_validation: bool = False,
|
||
|
|
) -> None:
|
||
|
|
"""Construct a new synchronous openai client instance.
|
||
|
|
|
||
|
|
This automatically infers the following arguments from their corresponding environment variables if they are not provided:
|
||
|
|
- `api_key` from `OPENAI_API_KEY`
|
||
|
|
- `organization` from `OPENAI_ORG_ID`
|
||
|
|
- `project` from `OPENAI_PROJECT_ID`
|
||
|
|
"""
|
||
|
|
if api_key is None:
|
||
|
|
api_key = os.environ.get("OPENAI_API_KEY")
|
||
|
|
if api_key is None:
|
||
|
|
raise OpenAIError(
|
||
|
|
"The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable"
|
||
|
|
)
|
||
|
|
self.api_key = api_key
|
||
|
|
|
||
|
|
if organization is None:
|
||
|
|
organization = os.environ.get("OPENAI_ORG_ID")
|
||
|
|
self.organization = organization
|
||
|
|
|
||
|
|
if project is None:
|
||
|
|
project = os.environ.get("OPENAI_PROJECT_ID")
|
||
|
|
self.project = project
|
||
|
|
|
||
|
|
if base_url is None:
|
||
|
|
base_url = os.environ.get("OPENAI_BASE_URL")
|
||
|
|
if base_url is None:
|
||
|
|
base_url = f"https://api.openai.com/v1"
|
||
|
|
|
||
|
|
super().__init__(
|
||
|
|
version=__version__,
|
||
|
|
base_url=base_url,
|
||
|
|
max_retries=max_retries,
|
||
|
|
timeout=timeout,
|
||
|
|
http_client=http_client,
|
||
|
|
custom_headers=default_headers,
|
||
|
|
custom_query=default_query,
|
||
|
|
_strict_response_validation=_strict_response_validation,
|
||
|
|
)
|
||
|
|
|
||
|
|
self._default_stream_cls = Stream
|
||
|
|
|
||
|
|
self.completions = resources.Completions(self)
|
||
|
|
self.chat = resources.Chat(self)
|
||
|
|
self.embeddings = resources.Embeddings(self)
|
||
|
|
self.files = resources.Files(self)
|
||
|
|
self.images = resources.Images(self)
|
||
|
|
self.audio = resources.Audio(self)
|
||
|
|
self.moderations = resources.Moderations(self)
|
||
|
|
self.models = resources.Models(self)
|
||
|
|
self.fine_tuning = resources.FineTuning(self)
|
||
|
|
self.beta = resources.Beta(self)
|
||
|
|
self.batches = resources.Batches(self)
|
||
|
|
self.with_raw_response = OpenAIWithRawResponse(self)
|
||
|
|
self.with_streaming_response = OpenAIWithStreamedResponse(self)
|
||
|
|
|
||
|
|
@property
|
||
|
|
@override
|
||
|
|
def qs(self) -> Querystring:
|
||
|
|
return Querystring(array_format="comma")
|
||
|
|
|
||
|
|
@property
|
||
|
|
@override
|
||
|
|
def auth_headers(self) -> dict[str, str]:
|
||
|
|
api_key = self.api_key
|
||
|
|
return {"Authorization": f"Bearer {api_key}"}
|
||
|
|
|
||
|
|
@property
|
||
|
|
@override
|
||
|
|
def default_headers(self) -> dict[str, str | Omit]:
|
||
|
|
return {
|
||
|
|
**super().default_headers,
|
||
|
|
"X-Stainless-Async": "false",
|
||
|
|
"OpenAI-Organization": self.organization if self.organization is not None else Omit(),
|
||
|
|
"OpenAI-Project": self.project if self.project is not None else Omit(),
|
||
|
|
**self._custom_headers,
|
||
|
|
}
|
||
|
|
|
||
|
|
def copy(
|
||
|
|
self,
|
||
|
|
*,
|
||
|
|
api_key: str | None = None,
|
||
|
|
organization: str | None = None,
|
||
|
|
project: str | None = None,
|
||
|
|
base_url: str | httpx.URL | None = None,
|
||
|
|
timeout: float | Timeout | None | NotGiven = NOT_GIVEN,
|
||
|
|
http_client: httpx.Client | None = None,
|
||
|
|
max_retries: int | NotGiven = NOT_GIVEN,
|
||
|
|
default_headers: Mapping[str, str] | None = None,
|
||
|
|
set_default_headers: Mapping[str, str] | None = None,
|
||
|
|
default_query: Mapping[str, object] | None = None,
|
||
|
|
set_default_query: Mapping[str, object] | None = None,
|
||
|
|
_extra_kwargs: Mapping[str, Any] = {},
|
||
|
|
) -> Self:
|
||
|
|
"""
|
||
|
|
Create a new client instance re-using the same options given to the current client with optional overriding.
|
||
|
|
"""
|
||
|
|
if default_headers is not None and set_default_headers is not None:
|
||
|
|
raise ValueError("The `default_headers` and `set_default_headers` arguments are mutually exclusive")
|
||
|
|
|
||
|
|
if default_query is not None and set_default_query is not None:
|
||
|
|
raise ValueError("The `default_query` and `set_default_query` arguments are mutually exclusive")
|
||
|
|
|
||
|
|
headers = self._custom_headers
|
||
|
|
if default_headers is not None:
|
||
|
|
headers = {**headers, **default_headers}
|
||
|
|
elif set_default_headers is not None:
|
||
|
|
headers = set_default_headers
|
||
|
|
|
||
|
|
params = self._custom_query
|
||
|
|
if default_query is not None:
|
||
|
|
params = {**params, **default_query}
|
||
|
|
elif set_default_query is not None:
|
||
|
|
params = set_default_query
|
||
|
|
|
||
|
|
http_client = http_client or self._client
|
||
|
|
return self.__class__(
|
||
|
|
api_key=api_key or self.api_key,
|
||
|
|
organization=organization or self.organization,
|
||
|
|
project=project or self.project,
|
||
|
|
base_url=base_url or self.base_url,
|
||
|
|
timeout=self.timeout if isinstance(timeout, NotGiven) else timeout,
|
||
|
|
http_client=http_client,
|
||
|
|
max_retries=max_retries if is_given(max_retries) else self.max_retries,
|
||
|
|
default_headers=headers,
|
||
|
|
default_query=params,
|
||
|
|
**_extra_kwargs,
|
||
|
|
)
|
||
|
|
|
||
|
|
# Alias for `copy` for nicer inline usage, e.g.
|
||
|
|
# client.with_options(timeout=10).foo.create(...)
|
||
|
|
with_options = copy
|
||
|
|
|
||
|
|
@override
|
||
|
|
def _make_status_error(
|
||
|
|
self,
|
||
|
|
err_msg: str,
|
||
|
|
*,
|
||
|
|
body: object,
|
||
|
|
response: httpx.Response,
|
||
|
|
) -> APIStatusError:
|
||
|
|
data = body.get("error", body) if is_mapping(body) else body
|
||
|
|
if response.status_code == 400:
|
||
|
|
return _exceptions.BadRequestError(err_msg, response=response, body=data)
|
||
|
|
|
||
|
|
if response.status_code == 401:
|
||
|
|
return _exceptions.AuthenticationError(err_msg, response=response, body=data)
|
||
|
|
|
||
|
|
if response.status_code == 403:
|
||
|
|
return _exceptions.PermissionDeniedError(err_msg, response=response, body=data)
|
||
|
|
|
||
|
|
if response.status_code == 404:
|
||
|
|
return _exceptions.NotFoundError(err_msg, response=response, body=data)
|
||
|
|
|
||
|
|
if response.status_code == 409:
|
||
|
|
return _exceptions.ConflictError(err_msg, response=response, body=data)
|
||
|
|
|
||
|
|
if response.status_code == 422:
|
||
|
|
return _exceptions.UnprocessableEntityError(err_msg, response=response, body=data)
|
||
|
|
|
||
|
|
if response.status_code == 429:
|
||
|
|
return _exceptions.RateLimitError(err_msg, response=response, body=data)
|
||
|
|
|
||
|
|
if response.status_code >= 500:
|
||
|
|
return _exceptions.InternalServerError(err_msg, response=response, body=data)
|
||
|
|
return APIStatusError(err_msg, response=response, body=data)
|
||
|
|
|
||
|
|
|
||
|
|
class AsyncOpenAI(AsyncAPIClient):
|
||
|
|
completions: resources.AsyncCompletions
|
||
|
|
chat: resources.AsyncChat
|
||
|
|
embeddings: resources.AsyncEmbeddings
|
||
|
|
files: resources.AsyncFiles
|
||
|
|
images: resources.AsyncImages
|
||
|
|
audio: resources.AsyncAudio
|
||
|
|
moderations: resources.AsyncModerations
|
||
|
|
models: resources.AsyncModels
|
||
|
|
fine_tuning: resources.AsyncFineTuning
|
||
|
|
beta: resources.AsyncBeta
|
||
|
|
batches: resources.AsyncBatches
|
||
|
|
with_raw_response: AsyncOpenAIWithRawResponse
|
||
|
|
with_streaming_response: AsyncOpenAIWithStreamedResponse
|
||
|
|
|
||
|
|
# client options
|
||
|
|
api_key: str
|
||
|
|
organization: str | None
|
||
|
|
project: str | None
|
||
|
|
|
||
|
|
def __init__(
|
||
|
|
self,
|
||
|
|
*,
|
||
|
|
api_key: str | None = None,
|
||
|
|
organization: str | None = None,
|
||
|
|
project: str | None = None,
|
||
|
|
base_url: str | httpx.URL | None = None,
|
||
|
|
timeout: Union[float, Timeout, None, NotGiven] = NOT_GIVEN,
|
||
|
|
max_retries: int = DEFAULT_MAX_RETRIES,
|
||
|
|
default_headers: Mapping[str, str] | None = None,
|
||
|
|
default_query: Mapping[str, object] | None = None,
|
||
|
|
# Configure a custom httpx client.
|
||
|
|
# We provide a `DefaultAsyncHttpxClient` class that you can pass to retain the default values we use for `limits`, `timeout` & `follow_redirects`.
|
||
|
|
# See the [httpx documentation](https://www.python-httpx.org/api/#asyncclient) for more details.
|
||
|
|
http_client: httpx.AsyncClient | None = None,
|
||
|
|
# Enable or disable schema validation for data returned by the API.
|
||
|
|
# When enabled an error APIResponseValidationError is raised
|
||
|
|
# if the API responds with invalid data for the expected schema.
|
||
|
|
#
|
||
|
|
# This parameter may be removed or changed in the future.
|
||
|
|
# If you rely on this feature, please open a GitHub issue
|
||
|
|
# outlining your use-case to help us decide if it should be
|
||
|
|
# part of our public interface in the future.
|
||
|
|
_strict_response_validation: bool = False,
|
||
|
|
) -> None:
|
||
|
|
"""Construct a new async openai client instance.
|
||
|
|
|
||
|
|
This automatically infers the following arguments from their corresponding environment variables if they are not provided:
|
||
|
|
- `api_key` from `OPENAI_API_KEY`
|
||
|
|
- `organization` from `OPENAI_ORG_ID`
|
||
|
|
- `project` from `OPENAI_PROJECT_ID`
|
||
|
|
"""
|
||
|
|
if api_key is None:
|
||
|
|
api_key = os.environ.get("OPENAI_API_KEY")
|
||
|
|
if api_key is None:
|
||
|
|
raise OpenAIError(
|
||
|
|
"The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable"
|
||
|
|
)
|
||
|
|
self.api_key = api_key
|
||
|
|
|
||
|
|
if organization is None:
|
||
|
|
organization = os.environ.get("OPENAI_ORG_ID")
|
||
|
|
self.organization = organization
|
||
|
|
|
||
|
|
if project is None:
|
||
|
|
project = os.environ.get("OPENAI_PROJECT_ID")
|
||
|
|
self.project = project
|
||
|
|
|
||
|
|
if base_url is None:
|
||
|
|
base_url = os.environ.get("OPENAI_BASE_URL")
|
||
|
|
if base_url is None:
|
||
|
|
base_url = f"https://api.openai.com/v1"
|
||
|
|
|
||
|
|
super().__init__(
|
||
|
|
version=__version__,
|
||
|
|
base_url=base_url,
|
||
|
|
max_retries=max_retries,
|
||
|
|
timeout=timeout,
|
||
|
|
http_client=http_client,
|
||
|
|
custom_headers=default_headers,
|
||
|
|
custom_query=default_query,
|
||
|
|
_strict_response_validation=_strict_response_validation,
|
||
|
|
)
|
||
|
|
|
||
|
|
self._default_stream_cls = AsyncStream
|
||
|
|
|
||
|
|
self.completions = resources.AsyncCompletions(self)
|
||
|
|
self.chat = resources.AsyncChat(self)
|
||
|
|
self.embeddings = resources.AsyncEmbeddings(self)
|
||
|
|
self.files = resources.AsyncFiles(self)
|
||
|
|
self.images = resources.AsyncImages(self)
|
||
|
|
self.audio = resources.AsyncAudio(self)
|
||
|
|
self.moderations = resources.AsyncModerations(self)
|
||
|
|
self.models = resources.AsyncModels(self)
|
||
|
|
self.fine_tuning = resources.AsyncFineTuning(self)
|
||
|
|
self.beta = resources.AsyncBeta(self)
|
||
|
|
self.batches = resources.AsyncBatches(self)
|
||
|
|
self.with_raw_response = AsyncOpenAIWithRawResponse(self)
|
||
|
|
self.with_streaming_response = AsyncOpenAIWithStreamedResponse(self)
|
||
|
|
|
||
|
|
@property
|
||
|
|
@override
|
||
|
|
def qs(self) -> Querystring:
|
||
|
|
return Querystring(array_format="comma")
|
||
|
|
|
||
|
|
@property
|
||
|
|
@override
|
||
|
|
def auth_headers(self) -> dict[str, str]:
|
||
|
|
api_key = self.api_key
|
||
|
|
return {"Authorization": f"Bearer {api_key}"}
|
||
|
|
|
||
|
|
@property
|
||
|
|
@override
|
||
|
|
def default_headers(self) -> dict[str, str | Omit]:
|
||
|
|
return {
|
||
|
|
**super().default_headers,
|
||
|
|
"X-Stainless-Async": f"async:{get_async_library()}",
|
||
|
|
"OpenAI-Organization": self.organization if self.organization is not None else Omit(),
|
||
|
|
"OpenAI-Project": self.project if self.project is not None else Omit(),
|
||
|
|
**self._custom_headers,
|
||
|
|
}
|
||
|
|
|
||
|
|
def copy(
|
||
|
|
self,
|
||
|
|
*,
|
||
|
|
api_key: str | None = None,
|
||
|
|
organization: str | None = None,
|
||
|
|
project: str | None = None,
|
||
|
|
base_url: str | httpx.URL | None = None,
|
||
|
|
timeout: float | Timeout | None | NotGiven = NOT_GIVEN,
|
||
|
|
http_client: httpx.AsyncClient | None = None,
|
||
|
|
max_retries: int | NotGiven = NOT_GIVEN,
|
||
|
|
default_headers: Mapping[str, str] | None = None,
|
||
|
|
set_default_headers: Mapping[str, str] | None = None,
|
||
|
|
default_query: Mapping[str, object] | None = None,
|
||
|
|
set_default_query: Mapping[str, object] | None = None,
|
||
|
|
_extra_kwargs: Mapping[str, Any] = {},
|
||
|
|
) -> Self:
|
||
|
|
"""
|
||
|
|
Create a new client instance re-using the same options given to the current client with optional overriding.
|
||
|
|
"""
|
||
|
|
if default_headers is not None and set_default_headers is not None:
|
||
|
|
raise ValueError("The `default_headers` and `set_default_headers` arguments are mutually exclusive")
|
||
|
|
|
||
|
|
if default_query is not None and set_default_query is not None:
|
||
|
|
raise ValueError("The `default_query` and `set_default_query` arguments are mutually exclusive")
|
||
|
|
|
||
|
|
headers = self._custom_headers
|
||
|
|
if default_headers is not None:
|
||
|
|
headers = {**headers, **default_headers}
|
||
|
|
elif set_default_headers is not None:
|
||
|
|
headers = set_default_headers
|
||
|
|
|
||
|
|
params = self._custom_query
|
||
|
|
if default_query is not None:
|
||
|
|
params = {**params, **default_query}
|
||
|
|
elif set_default_query is not None:
|
||
|
|
params = set_default_query
|
||
|
|
|
||
|
|
http_client = http_client or self._client
|
||
|
|
return self.__class__(
|
||
|
|
api_key=api_key or self.api_key,
|
||
|
|
organization=organization or self.organization,
|
||
|
|
project=project or self.project,
|
||
|
|
base_url=base_url or self.base_url,
|
||
|
|
timeout=self.timeout if isinstance(timeout, NotGiven) else timeout,
|
||
|
|
http_client=http_client,
|
||
|
|
max_retries=max_retries if is_given(max_retries) else self.max_retries,
|
||
|
|
default_headers=headers,
|
||
|
|
default_query=params,
|
||
|
|
**_extra_kwargs,
|
||
|
|
)
|
||
|
|
|
||
|
|
# Alias for `copy` for nicer inline usage, e.g.
|
||
|
|
# client.with_options(timeout=10).foo.create(...)
|
||
|
|
with_options = copy
|
||
|
|
|
||
|
|
@override
|
||
|
|
def _make_status_error(
|
||
|
|
self,
|
||
|
|
err_msg: str,
|
||
|
|
*,
|
||
|
|
body: object,
|
||
|
|
response: httpx.Response,
|
||
|
|
) -> APIStatusError:
|
||
|
|
data = body.get("error", body) if is_mapping(body) else body
|
||
|
|
if response.status_code == 400:
|
||
|
|
return _exceptions.BadRequestError(err_msg, response=response, body=data)
|
||
|
|
|
||
|
|
if response.status_code == 401:
|
||
|
|
return _exceptions.AuthenticationError(err_msg, response=response, body=data)
|
||
|
|
|
||
|
|
if response.status_code == 403:
|
||
|
|
return _exceptions.PermissionDeniedError(err_msg, response=response, body=data)
|
||
|
|
|
||
|
|
if response.status_code == 404:
|
||
|
|
return _exceptions.NotFoundError(err_msg, response=response, body=data)
|
||
|
|
|
||
|
|
if response.status_code == 409:
|
||
|
|
return _exceptions.ConflictError(err_msg, response=response, body=data)
|
||
|
|
|
||
|
|
if response.status_code == 422:
|
||
|
|
return _exceptions.UnprocessableEntityError(err_msg, response=response, body=data)
|
||
|
|
|
||
|
|
if response.status_code == 429:
|
||
|
|
return _exceptions.RateLimitError(err_msg, response=response, body=data)
|
||
|
|
|
||
|
|
if response.status_code >= 500:
|
||
|
|
return _exceptions.InternalServerError(err_msg, response=response, body=data)
|
||
|
|
return APIStatusError(err_msg, response=response, body=data)
|
||
|
|
|
||
|
|
|
||
|
|
class OpenAIWithRawResponse:
|
||
|
|
def __init__(self, client: OpenAI) -> None:
|
||
|
|
self.completions = resources.CompletionsWithRawResponse(client.completions)
|
||
|
|
self.chat = resources.ChatWithRawResponse(client.chat)
|
||
|
|
self.embeddings = resources.EmbeddingsWithRawResponse(client.embeddings)
|
||
|
|
self.files = resources.FilesWithRawResponse(client.files)
|
||
|
|
self.images = resources.ImagesWithRawResponse(client.images)
|
||
|
|
self.audio = resources.AudioWithRawResponse(client.audio)
|
||
|
|
self.moderations = resources.ModerationsWithRawResponse(client.moderations)
|
||
|
|
self.models = resources.ModelsWithRawResponse(client.models)
|
||
|
|
self.fine_tuning = resources.FineTuningWithRawResponse(client.fine_tuning)
|
||
|
|
self.beta = resources.BetaWithRawResponse(client.beta)
|
||
|
|
self.batches = resources.BatchesWithRawResponse(client.batches)
|
||
|
|
|
||
|
|
|
||
|
|
class AsyncOpenAIWithRawResponse:
|
||
|
|
def __init__(self, client: AsyncOpenAI) -> None:
|
||
|
|
self.completions = resources.AsyncCompletionsWithRawResponse(client.completions)
|
||
|
|
self.chat = resources.AsyncChatWithRawResponse(client.chat)
|
||
|
|
self.embeddings = resources.AsyncEmbeddingsWithRawResponse(client.embeddings)
|
||
|
|
self.files = resources.AsyncFilesWithRawResponse(client.files)
|
||
|
|
self.images = resources.AsyncImagesWithRawResponse(client.images)
|
||
|
|
self.audio = resources.AsyncAudioWithRawResponse(client.audio)
|
||
|
|
self.moderations = resources.AsyncModerationsWithRawResponse(client.moderations)
|
||
|
|
self.models = resources.AsyncModelsWithRawResponse(client.models)
|
||
|
|
self.fine_tuning = resources.AsyncFineTuningWithRawResponse(client.fine_tuning)
|
||
|
|
self.beta = resources.AsyncBetaWithRawResponse(client.beta)
|
||
|
|
self.batches = resources.AsyncBatchesWithRawResponse(client.batches)
|
||
|
|
|
||
|
|
|
||
|
|
class OpenAIWithStreamedResponse:
|
||
|
|
def __init__(self, client: OpenAI) -> None:
|
||
|
|
self.completions = resources.CompletionsWithStreamingResponse(client.completions)
|
||
|
|
self.chat = resources.ChatWithStreamingResponse(client.chat)
|
||
|
|
self.embeddings = resources.EmbeddingsWithStreamingResponse(client.embeddings)
|
||
|
|
self.files = resources.FilesWithStreamingResponse(client.files)
|
||
|
|
self.images = resources.ImagesWithStreamingResponse(client.images)
|
||
|
|
self.audio = resources.AudioWithStreamingResponse(client.audio)
|
||
|
|
self.moderations = resources.ModerationsWithStreamingResponse(client.moderations)
|
||
|
|
self.models = resources.ModelsWithStreamingResponse(client.models)
|
||
|
|
self.fine_tuning = resources.FineTuningWithStreamingResponse(client.fine_tuning)
|
||
|
|
self.beta = resources.BetaWithStreamingResponse(client.beta)
|
||
|
|
self.batches = resources.BatchesWithStreamingResponse(client.batches)
|
||
|
|
|
||
|
|
|
||
|
|
class AsyncOpenAIWithStreamedResponse:
|
||
|
|
def __init__(self, client: AsyncOpenAI) -> None:
|
||
|
|
self.completions = resources.AsyncCompletionsWithStreamingResponse(client.completions)
|
||
|
|
self.chat = resources.AsyncChatWithStreamingResponse(client.chat)
|
||
|
|
self.embeddings = resources.AsyncEmbeddingsWithStreamingResponse(client.embeddings)
|
||
|
|
self.files = resources.AsyncFilesWithStreamingResponse(client.files)
|
||
|
|
self.images = resources.AsyncImagesWithStreamingResponse(client.images)
|
||
|
|
self.audio = resources.AsyncAudioWithStreamingResponse(client.audio)
|
||
|
|
self.moderations = resources.AsyncModerationsWithStreamingResponse(client.moderations)
|
||
|
|
self.models = resources.AsyncModelsWithStreamingResponse(client.models)
|
||
|
|
self.fine_tuning = resources.AsyncFineTuningWithStreamingResponse(client.fine_tuning)
|
||
|
|
self.beta = resources.AsyncBetaWithStreamingResponse(client.beta)
|
||
|
|
self.batches = resources.AsyncBatchesWithStreamingResponse(client.batches)
|
||
|
|
|
||
|
|
|
||
|
|
Client = OpenAI
|
||
|
|
|
||
|
|
AsyncClient = AsyncOpenAI
|