OpenAI vs Krutrim Cloud Diff
565 lines
# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from __future__ import annotations
import os
import os
from typing import Any, Union, Mapping
from typing import Any, Union, Mapping
from typing_extensions import Self, override
from typing_extensions import Self, override
import httpx
import httpx
from . import _exceptions
from . import resources, _exceptions
from ._qs import Querystring
from ._qs import Querystring
from ._types import (
from ._types import (
NOT_GIVEN,
NOT_GIVEN,
Omit,
Omit,
Timeout,
Timeout,
NotGiven,
NotGiven,
Transport,
Transport,
ProxiesTypes,
ProxiesTypes,
RequestOptions,
RequestOptions,
)
)
from ._utils import (
from ._utils import (
is_given,
is_given,
is_mapping,
get_async_library,
get_async_library,
)
)
from ._version import __version__
from ._version import __version__
from .resources import files, images, models, batches, embeddings, completions, moderations
from ._streaming import Stream as Stream, AsyncStream as AsyncStream
from ._streaming import Stream as Stream, AsyncStream as AsyncStream
from ._exceptions import OpenAIError, APIStatusError
from ._exceptions import APIStatusError
from ._exceptions import KrutrimCloudError
from ._base_client import (
from ._base_client import (
DEFAULT_MAX_RETRIES,
DEFAULT_MAX_RETRIES,
SyncAPIClient,
SyncAPIClient,
AsyncAPIClient,
AsyncAPIClient,
)
)
from .resources.beta import beta
from .resources.chat import chat
from .resources.audio import audio
from .resources.uploads import uploads
from .resources.fine_tuning import fine_tuning
__all__ = ["Timeout", "Transport", "ProxiesTypes", "RequestOptions", "OpenAI", "AsyncOpenAI", "Client", "AsyncClient"]
__all__ = [
"Timeout",
"Transport",
"ProxiesTypes",
"RequestOptions",
"resources",
"KrutrimCloud",
"AsyncKrutrimCloud",
"Client",
"AsyncClient",
]
class OpenAI(SyncAPIClient):
class KrutrimCloud(SyncAPIClient):
completions: completions.Completions
images: resources.ImagesResource
chat: chat.Chat
multimodal: resources.MultimodalResource
embeddings: embeddings.Embeddings
audio: resources.AudioResource
files: files.Files
chat: resources.ChatResource
images: images.Images
registry: resources.RegistryResource
audio: audio.Audio
deploy: resources.DeployResource
moderations: moderations.Moderations
videos: resources.VideosResource
models: models.Models
fine_tuning: resources.FineTuningResource
fine_tuning: fine_tuning.FineTuning
languagelabs: resources.LanguageLabsResource
beta: beta.Beta
inference: resources.InferenceResource
batches: batches.Batches
with_raw_response: KrutrimCloudWithRawResponse
uploads: uploads.Uploads
with_streaming_response: KrutrimCloudWithStreamedResponse
with_raw_response: OpenAIWithRawResponse
with_streaming_response: OpenAIWithStreamedResponse
# client options
# client options
api_key: str
organization: str | None
project: str | None
websocket_base_url: str | httpx.URL | None
"""Base URL for WebSocket connections.
If not specified, the default base URL will be used, with 'wss://' replacing the
'http://' or 'https://' scheme. For example: 'http://example.com' becomes
'wss://example.com'
"""
def __init__(
def __init__(
self,
self,
*,
*,
api_key: str | None = None,
api_key: str | None = None,
organization: str | None = None,
project: str | None = None,
base_url: str | httpx.URL | None = None,
base_url: str | httpx.URL | None = None,
websocket_base_url: str | httpx.URL | None = None,
timeout: Union[float, Timeout, None, NotGiven] = NOT_GIVEN,
timeout: Union[float, Timeout, None, NotGiven] = NOT_GIVEN,
max_retries: int = DEFAULT_MAX_RETRIES,
max_retries: int = DEFAULT_MAX_RETRIES,
default_headers: Mapping[str, str] | None = None,
default_headers: Mapping[str, str] | None = None,
default_query: Mapping[str, object] | None = None,
default_query: Mapping[str, object] | None = None,
# Configure a custom httpx client.
# 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`.
# 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.
# See the [httpx documentation](https://www.python-httpx.org/api/#client) for more details.
http_client: httpx.Client | None = None,
http_client: httpx.Client | None = None,
# Enable or disable schema validation for data returned by the API.
# Enable or disable schema validation for data returned by the API.
# When enabled an error APIResponseValidationError is raised
# When enabled an error APIResponseValidationError is raised
# if the API responds with invalid data for the expected schema.
# if the API responds with invalid data for the expected schema.
#
#
# This parameter may be removed or changed in the future.
# This parameter may be removed or changed in the future.
# If you rely on this feature, please open a GitHub issue
# If you rely on this feature, please open a GitHub issue
# outlining your use-case to help us decide if it should be
# outlining your use-case to help us decide if it should be
# part of our public interface in the future.
# part of our public interface in the future.
_strict_response_validation: bool = False,
_strict_response_validation: bool = False,
) -> None:
) -> None:
"""Construct a new synchronous openai client instance.
"""Construct a new synchronous krutrim-cloud client instance.
This automatically infers the following arguments from their corresponding environment variables if they are not provided:
This automatically infers the `api_key` argument from the `KRUTRIM_CLOUD_API_KEY` environment variable if it is not provided.
- `api_key` from `OPENAI_API_KEY`
- `organization` from `OPENAI_ORG_ID`
- `project` from `OPENAI_PROJECT_ID`
"""
"""
if api_key is None:
if api_key is None:
api_key = os.environ.get("OPENAI_API_KEY")
api_key = os.environ.get("KRUTRIM_CLOUD_API_KEY")
if api_key is None:
if api_key is None:
raise OpenAIError(
raise KrutrimCloudError(
"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"
"The api_key client option must be set either by passing api_key to the client or by setting the KRUTRIM_CLOUD_API_KEY environment variable"
)
)
self.api_key = api_key
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
self.websocket_base_url = websocket_base_url
if base_url is None:
if base_url is None:
base_url = os.environ.get("OPENAI_BASE_URL")
base_url = os.environ.get("KRUTRIM_CLOUD_BASE_URL")
if base_url is None:
if base_url is None:
base_url = f"https://api.openai.com/v1"
base_url = f"https://cloud.olakrutrim.com"
default_headers = {"user-agent": f"Krutrim-Cloud-Python-SDK/{__version__}"}
super().__init__(
super().__init__(
version=__version__,
version=__version__,
base_url=base_url,
base_url=base_url,
max_retries=max_retries,
max_retries=max_retries,
timeout=timeout,
timeout=timeout,
http_client=http_client,
http_client=http_client,
custom_headers=default_headers,
custom_headers=default_headers,
custom_query=default_query,
custom_query=default_query,
_strict_response_validation=_strict_response_validation,
_strict_response_validation=_strict_response_validation,
)
)
self.images = resources.ImagesResource(self)
self._default_stream_cls = Stream
self.multimodal = resources.MultimodalResource(self)
self.audio = resources.AudioResource(self)
self.chat = resources.ChatResource(self)
self.registry = resources.RegistryResource(self)
self.deploy = resources.DeployResource(self)
self.videos = resources.VideosResource(self)
self.fine_tuning = resources.FineTuningResource(self)
self.inference = resources.InferenceResource(self)
self.languagelabs = resources.LanguageLabsResource(self)
self.with_raw_response = KrutrimCloudWithRawResponse(self)
self.with_streaming_response = KrutrimCloudWithStreamedResponse(self)
self.completions = completions.Completions(self)
self.chat = chat.Chat(self)
self.embeddings = embeddings.Embeddings(self)
self.files = files.Files(self)
self.images = images.Images(self)
self.audio = audio.Audio(self)
self.moderations = moderations.Moderations(self)
self.models = models.Models(self)
self.fine_tuning = fine_tuning.FineTuning(self)
self.beta = beta.Beta(self)
self.batches = batches.Batches(self)
self.uploads = uploads.Uploads(self)
self.with_raw_response = OpenAIWithRawResponse(self)
self.with_streaming_response = OpenAIWithStreamedResponse(self)
@property
@property
@override
@override
def qs(self) -> Querystring:
def qs(self) -> Querystring:
return Querystring(array_format="brackets")
return Querystring(array_format="comma")
Text moved to lines 146-150
@property
@override
def auth_headers(self) -> dict[str, str]:
api_key = self.api_key
return {"Authorization": f"Bearer {api_key}"}
@property
@property
@override
@override
def default_headers(self) -> dict[str, str | Omit]:
def default_headers(self) -> dict[str, str | Omit]:
return {
return {
**super().default_headers,
**super().default_headers,
"X-Stainless-Async": "false",
"X-Krutrim-Cloud-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,
**self._custom_headers,
}
}
Text moved from lines 163-167
@property
@override
def auth_headers(self) -> dict[str, str]:
api_key = self.api_key
return {"Authorization": f"Bearer {api_key}"}
def copy(
def copy(
self,
self,
*,
*,
api_key: str | None = None,
api_key: str | None = None,
organization: str | None = None,
project: str | None = None,
websocket_base_url: str | httpx.URL | None = None,
base_url: str | httpx.URL | None = None,
base_url: str | httpx.URL | None = None,
timeout: float | Timeout | None | NotGiven = NOT_GIVEN,
timeout: float | Timeout | None | NotGiven = NOT_GIVEN,
http_client: httpx.Client | None = None,
http_client: httpx.Client | None = None,
max_retries: int | NotGiven = NOT_GIVEN,
max_retries: int | NotGiven = NOT_GIVEN,
default_headers: Mapping[str, str] | None = None,
default_headers: Mapping[str, str] | None = None,
set_default_headers: Mapping[str, str] | None = None,
set_default_headers: Mapping[str, str] | None = None,
default_query: Mapping[str, object] | None = None,
default_query: Mapping[str, object] | None = None,
set_default_query: Mapping[str, object] | None = None,
set_default_query: Mapping[str, object] | None = None,
_extra_kwargs: Mapping[str, Any] = {},
_extra_kwargs: Mapping[str, Any] = {},
) -> Self:
) -> Self:
"""
"""
Create a new client instance re-using the same options given to the current client with optional overriding.
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:
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")
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:
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")
raise ValueError("The `default_query` and `set_default_query` arguments are mutually exclusive")
headers = self._custom_headers
headers = self._custom_headers
if default_headers is not None:
if default_headers is not None:
headers = {**headers, **default_headers}
headers = {**headers, **default_headers}
elif set_default_headers is not None:
elif set_default_headers is not None:
headers = set_default_headers
headers = set_default_headers
params = self._custom_query
params = self._custom_query
if default_query is not None:
if default_query is not None:
params = {**params, **default_query}
params = {**params, **default_query}
elif set_default_query is not None:
elif set_default_query is not None:
params = set_default_query
params = set_default_query
http_client = http_client or self._client
http_client = http_client or self._client
return self.__class__(
return self.__class__(
api_key=api_key or self.api_key,
organization=organization or self.organization,
project=project or self.project,
websocket_base_url=websocket_base_url or self.websocket_base_url,
base_url=base_url or self.base_url,
base_url=base_url or self.base_url,
timeout=self.timeout if isinstance(timeout, NotGiven) else timeout,
timeout=self.timeout if isinstance(timeout, NotGiven) else timeout,
http_client=http_client,
http_client=http_client,
max_retries=max_retries if is_given(max_retries) else self.max_retries,
max_retries=max_retries if is_given(max_retries) else self.max_retries,
default_headers=headers,
default_headers=headers,
default_query=params,
default_query=params,
**_extra_kwargs,
**_extra_kwargs,
)
)
# Alias for `copy` for nicer inline usage, e.g.
# Alias for `copy` for nicer inline usage, e.g.
# client.with_options(timeout=10).foo.create(...)
# client.with_options(timeout=10).foo.create(...)
with_options = copy
with_options = copy
@override
@override
def _make_status_error(
def _make_status_error(
self,
self,
err_msg: str,
err_msg: str,
*,
*,
body: object,
body: object,
response: httpx.Response,
response: httpx.Response,
) -> APIStatusError:
) -> APIStatusError:
data = body.get("error", body) if is_mapping(body) else body
if response.status_code == 400:
if response.status_code == 400:
return _exceptions.BadRequestError(err_msg, response=response, body=data)
return _exceptions.BadRequestError(err_msg, response=response, body=body)
if response.status_code == 401:
if response.status_code == 401:
return _exceptions.AuthenticationError(err_msg, response=response, body=data)
return _exceptions.AuthenticationError(err_msg, response=response, body=body)
if response.status_code == 403:
if response.status_code == 403:
return _exceptions.PermissionDeniedError(err_msg, response=response, body=data)
return _exceptions.PermissionDeniedError(err_msg, response=response, body=body)
if response.status_code == 404:
if response.status_code == 404:
return _exceptions.NotFoundError(err_msg, response=response, body=data)
return _exceptions.NotFoundError(err_msg, response=response, body=body)
if response.status_code == 409:
if response.status_code == 409:
return _exceptions.ConflictError(err_msg, response=response, body=data)
return _exceptions.ConflictError(err_msg, response=response, body=body)
if response.status_code == 422:
if response.status_code == 422:
return _exceptions.UnprocessableEntityError(err_msg, response=response, body=data)
return _exceptions.UnprocessableEntityError(err_msg, response=response, body=body)
if response.status_code == 429:
if response.status_code == 429:
return _exceptions.RateLimitError(err_msg, response=response, body=data)
return _exceptions.RateLimitError(err_msg, response=response, body=body)
if response.status_code >= 500:
if response.status_code >= 500:
return _exceptions.InternalServerError(err_msg, response=response, body=data)
return _exceptions.InternalServerError(err_msg, response=response, body=body)
return APIStatusError(err_msg, response=response, body=data)
return APIStatusError(err_msg, response=response, body=body)
class AsyncOpenAI(AsyncAPIClient):
class AsyncKrutrimCloud(AsyncAPIClient):
completions: completions.AsyncCompletions
images: resources.AsyncImagesResource
chat: chat.AsyncChat
multimodal: resources.AsyncMultimodalResource
embeddings: embeddings.AsyncEmbeddings
audio: resources.AsyncAudioResource
files: files.AsyncFiles
chat: resources.AsyncChatResource
images: images.AsyncImages
deploy: resources.AsyncDeployResource
audio: audio.AsyncAudio
videos: resources.AsyncVideosResource
moderations: moderations.AsyncModerations
fine_tuning: resources.AsyncFineTuningResource
models: models.AsyncModels
inference: resources.AsyncInferenceResource
fine_tuning: fine_tuning.AsyncFineTuning
languagelabs : resources.AsyncLanguageLabsResource
beta: beta.AsyncBeta
with_raw_response: AsyncKrutrimCloudWithRawResponse
batches: batches.AsyncBatches
with_streaming_response: AsyncKrutrimCloudWithStreamedResponse
uploads: uploads.AsyncUploads
with_raw_response: AsyncOpenAIWithRawResponse
with_streaming_response: AsyncOpenAIWithStreamedResponse
# client options
# client options
api_key: str
organization: str | None
project: str | None
websocket_base_url: str | httpx.URL | None
"""Base URL for WebSocket connections.
If not specified, the default base URL will be used, with 'wss://' replacing the
'http://' or 'https://' scheme. For example: 'http://example.com' becomes
'wss://example.com'
"""
def __init__(
def __init__(
self,
self,
*,
*,
api_key: str | None = None,
api_key: str | None = None,
organization: str | None = None,
project: str | None = None,
base_url: str | httpx.URL | None = None,
base_url: str | httpx.URL | None = None,
websocket_base_url: str | httpx.URL | None = None,
timeout: Union[float, Timeout, None, NotGiven] = NOT_GIVEN,
timeout: Union[float, Timeout, None, NotGiven] = NOT_GIVEN,
max_retries: int = DEFAULT_MAX_RETRIES,
max_retries: int = DEFAULT_MAX_RETRIES,
default_headers: Mapping[str, str] | None = None,
default_headers: Mapping[str, str] | None = None,
default_query: Mapping[str, object] | None = None,
default_query: Mapping[str, object] | None = None,
# Configure a custom httpx client.
# 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`.
# 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.
# See the [httpx documentation](https://www.python-httpx.org/api/#asyncclient) for more details.
http_client: httpx.AsyncClient | None = None,
http_client: httpx.AsyncClient | None = None,
# Enable or disable schema validation for data returned by the API.
# Enable or disable schema validation for data returned by the API.
# When enabled an error APIResponseValidationError is raised
# When enabled an error APIResponseValidationError is raised
# if the API responds with invalid data for the expected schema.
# if the API responds with invalid data for the expected schema.
#
#
# This parameter may be removed or changed in the future.
# This parameter may be removed or changed in the future.
# If you rely on this feature, please open a GitHub issue
# If you rely on this feature, please open a GitHub issue
# outlining your use-case to help us decide if it should be
# outlining your use-case to help us decide if it should be
# part of our public interface in the future.
# part of our public interface in the future.
_strict_response_validation: bool = False,
_strict_response_validation: bool = False,
) -> None:
) -> None:
"""Construct a new async openai client instance.
"""Construct a new async krutrim-cloud client instance.
This automatically infers the following arguments from their corresponding environment variables if they are not provided:
This automatically infers the `api_key` argument from the `KRUTRIM_CLOUD_API_KEY` environment variable if it is not provided.
- `api_key` from `OPENAI_API_KEY`
- `organization` from `OPENAI_ORG_ID`
- `project` from `OPENAI_PROJECT_ID`
"""
"""
if api_key is None:
if api_key is None:
api_key = os.environ.get("OPENAI_API_KEY")
api_key = os.environ.get("KRUTRIM_CLOUD_API_KEY")
if api_key is None:
if api_key is None:
raise OpenAIError(
raise KrutrimCloudError(
"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"
"The api_key client option must be set either by passing api_key to the client or by setting the KRUTRIM_CLOUD_API_KEY environment variable"
)
)
self.api_key = api_key
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
self.websocket_base_url = websocket_base_url
if base_url is None:
if base_url is None:
base_url = os.environ.get("OPENAI_BASE_URL")
base_url = os.environ.get("KRUTRIM_CLOUD_BASE_URL")
if base_url is None:
if base_url is None:
base_url = f"https://api.openai.com/v1"
base_url = f"https://cloud.olakrutrim.com"
default_headers = {"user-agent": f"Krutrim-Cloud-Python-SDK/{__version__}"}
super().__init__(
super().__init__(
version=__version__,
version=__version__,
base_url=base_url,
base_url=base_url,
max_retries=max_retries,
max_retries=max_retries,
timeout=timeout,
timeout=timeout,
http_client=http_client,
http_client=http_client,
custom_headers=default_headers,
custom_headers=default_headers,
custom_query=default_query,
custom_query=default_query,
_strict_response_validation=_strict_response_validation,
_strict_response_validation=_strict_response_validation,
)
)
self._default_stream_cls = AsyncStream
self.images = resources.AsyncImagesResource(self)
self.multimodal = resources.AsyncMultimodalResource(self)
self.audio = resources.AsyncAudioResource(self)
self.chat = resources.AsyncChatResource(self)
self.deploy = resources.AsyncDeployResource(self)
self.videos = resources.AsyncVideosResource(self)
self.fine_tuning = resources.AsyncFineTuningResource(self)
self.inference = resources.AsyncInferenceResource(self)
self.languagelabs = resources.AsyncLanguageLabsResource(self)
self.with_raw_response = AsyncKrutrimCloudWithRawResponse(self)
self.with_streaming_response = AsyncKrutrimCloudWithStreamedResponse(self)
self.completions = completions.AsyncCompletions(self)
self.chat = chat.AsyncChat(self)
self.embeddings = embeddings.AsyncEmbeddings(self)
self.files = files.AsyncFiles(self)
self.images = images.AsyncImages(self)
self.audio = audio.AsyncAudio(self)
self.moderations = moderations.AsyncModerations(self)
self.models = models.AsyncModels(self)
self.fine_tuning = fine_tuning.AsyncFineTuning(self)
self.beta = beta.AsyncBeta(self)
self.batches = batches.AsyncBatches(self)
self.uploads = uploads.AsyncUploads(self)
self.with_raw_response = AsyncOpenAIWithRawResponse(self)
self.with_streaming_response = AsyncOpenAIWithStreamedResponse(self)
@property
@property
@override
@override
def qs(self) -> Querystring:
def qs(self) -> Querystring:
return Querystring(array_format="brackets")
return Querystring(array_format="comma")
Text moved to lines 331-335
@property
@override
def auth_headers(self) -> dict[str, str]:
api_key = self.api_key
return {"Authorization": f"Bearer {api_key}"}
@property
@property
@override
@override
def default_headers(self) -> dict[str, str | Omit]:
def default_headers(self) -> dict[str, str | Omit]:
return {
return {
**super().default_headers,
**super().default_headers,
"X-Stainless-Async": f"async:{get_async_library()}",
"X-Krutrim-Cloud-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,
**self._custom_headers,
}
}
Text moved from lines 390-394
@property
@override
def auth_headers(self) -> dict[str, str]:
api_key = self.api_key
return {"Authorization": f"Bearer {api_key}"}
def copy(
def copy(
self,
self,
*,
*,
api_key: str | None = None,
api_key: str | None = None,
organization: str | None = None,
project: str | None = None,
websocket_base_url: str | httpx.URL | None = None,
base_url: str | httpx.URL | None = None,
base_url: str | httpx.URL | None = None,
timeout: float | Timeout | None | NotGiven = NOT_GIVEN,
timeout: float | Timeout | None | NotGiven = NOT_GIVEN,
http_client: httpx.AsyncClient | None = None,
http_client: httpx.AsyncClient | None = None,
max_retries: int | NotGiven = NOT_GIVEN,
max_retries: int | NotGiven = NOT_GIVEN,
default_headers: Mapping[str, str] | None = None,
default_headers: Mapping[str, str] | None = None,
set_default_headers: Mapping[str, str] | None = None,
set_default_headers: Mapping[str, str] | None = None,
default_query: Mapping[str, object] | None = None,
default_query: Mapping[str, object] | None = None,
set_default_query: Mapping[str, object] | None = None,
set_default_query: Mapping[str, object] | None = None,
_extra_kwargs: Mapping[str, Any] = {},
_extra_kwargs: Mapping[str, Any] = {},
) -> Self:
) -> Self:
"""
"""
Create a new client instance re-using the same options given to the current client with optional overriding.
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:
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")
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:
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")
raise ValueError("The `default_query` and `set_default_query` arguments are mutually exclusive")
headers = self._custom_headers
headers = self._custom_headers
if default_headers is not None:
if default_headers is not None:
headers = {**headers, **default_headers}
headers = {**headers, **default_headers}
elif set_default_headers is not None:
elif set_default_headers is not None:
headers = set_default_headers
headers = set_default_headers
params = self._custom_query
params = self._custom_query
if default_query is not None:
if default_query is not None:
params = {**params, **default_query}
params = {**params, **default_query}
elif set_default_query is not None:
elif set_default_query is not None:
params = set_default_query
params = set_default_query
http_client = http_client or self._client
http_client = http_client or self._client
return self.__class__(
return self.__class__(
api_key=api_key or self.api_key,
organization=organization or self.organization,
project=project or self.project,
websocket_base_url=websocket_base_url or self.websocket_base_url,
base_url=base_url or self.base_url,
base_url=base_url or self.base_url,
timeout=self.timeout if isinstance(timeout, NotGiven) else timeout,
timeout=self.timeout if isinstance(timeout, NotGiven) else timeout,
http_client=http_client,
http_client=http_client,
max_retries=max_retries if is_given(max_retries) else self.max_retries,
max_retries=max_retries if is_given(max_retries) else self.max_retries,
default_headers=headers,
default_headers=headers,
default_query=params,
default_query=params,
**_extra_kwargs,
**_extra_kwargs,
)
)
# Alias for `copy` for nicer inline usage, e.g.
# Alias for `copy` for nicer inline usage, e.g.
# client.with_options(timeout=10).foo.create(...)
# client.with_options(timeout=10).foo.create(...)
with_options = copy
with_options = copy
@override
@override
def _make_status_error(
def _make_status_error(
self,
self,
err_msg: str,
err_msg: str,
*,
*,
body: object,
body: object,
response: httpx.Response,
response: httpx.Response,
) -> APIStatusError:
) -> APIStatusError:
data = body.get("error", body) if is_mapping(body) else body
if response.status_code == 400:
if response.status_code == 400:
return _exceptions.BadRequestError(err_msg, response=response, body=data)
return _exceptions.BadRequestError(err_msg, response=response, body=body)
if response.status_code == 401:
if response.status_code == 401:
return _exceptions.AuthenticationError(err_msg, response=response, body=data)
return _exceptions.AuthenticationError(err_msg, response=response, body=body)
if response.status_code == 403:
if response.status_code == 403:
return _exceptions.PermissionDeniedError(err_msg, response=response, body=data)
return _exceptions.PermissionDeniedError(err_msg, response=response, body=body)
if response.status_code == 404:
if response.status_code == 404:
return _exceptions.NotFoundError(err_msg, response=response, body=data)
return _exceptions.NotFoundError(err_msg, response=response, body=body)
if response.status_code == 409:
if response.status_code == 409:
return _exceptions.ConflictError(err_msg, response=response, body=data)
return _exceptions.ConflictError(err_msg, response=response, body=body)
if response.status_code == 422:
if response.status_code == 422:
return _exceptions.UnprocessableEntityError(err_msg, response=response, body=data)
return _exceptions.UnprocessableEntityError(err_msg, response=response, body=body)
if response.status_code == 429:
if response.status_code == 429:
return _exceptions.RateLimitError(err_msg, response=response, body=data)
return _exceptions.RateLimitError(err_msg, response=response, body=body)
if response.status_code >= 500:
if response.status_code >= 500:
return _exceptions.InternalServerError(err_msg, response=response, body=data)
return _exceptions.InternalServerError(err_msg, response=response, body=body)
return APIStatusError(err_msg, response=response, body=data)
return APIStatusError(err_msg, response=response, body=body)
class OpenAIWithRawResponse:
class KrutrimCloudWithRawResponse:
def __init__(self, client: OpenAI) -> None:
def __init__(self, client: KrutrimCloud) -> None:
self.completions = completions.CompletionsWithRawResponse(client.completions)
self.images = resources.ImagesResourceWithRawResponse(client.images)
self.chat = chat.ChatWithRawResponse(client.chat)
self.multimodal = resources.MultimodalResourceWithRawResponse(client.multimodal)
self.embeddings = embeddings.EmbeddingsWithRawResponse(client.embeddings)
self.audio = resources.AudioResourceWithRawResponse(client.audio)
self.files = files.FilesWithRawResponse(client.files)
self.chat = resources.ChatResourceWithRawResponse(client.chat)
self.images = images.ImagesWithRawResponse(client.images)
self.fine_tuning = resources.FineTuningResourceWithRawResponse(client.fine_tuning)
self.audio = audio.AudioWithRawResponse(client.audio)
self.inference = resources.InferenceResourceWithRawResponse(client.inference)
self.moderations = moderations.ModerationsWithRawResponse(client.moderations)
self.languagelabs = resources.LanguageLabsResourceWithRawResponse(client.languagelabs)
self.models = models.ModelsWithRawResponse(client.models)
self.fine_tuning = fine_tuning.FineTuningWithRawResponse(client.fine_tuning)
self.beta = beta.BetaWithRawResponse(client.beta)
self.batches = batches.BatchesWithRawResponse(client.batches)
self.uploads = uploads.UploadsWithRawResponse(client.uploads)
class AsyncOpenAIWithRawResponse:
class AsyncKrutrimCloudWithRawResponse:
def __init__(self, client: AsyncOpenAI) -> None:
def __init__(self, client: AsyncKrutrimCloud) -> None:
self.completions = completions.AsyncCompletionsWithRawResponse(client.completions)
self.images = resources.AsyncImagesResourceWithRawResponse(client.images)
self.chat = chat.AsyncChatWithRawResponse(client.chat)
self.multimodal = resources.AsyncMultimodalResourceWithRawResponse(client.multimodal)
self.embeddings = embeddings.AsyncEmbeddingsWithRawResponse(client.embeddings)
self.audio = resources.AsyncAudioResourceWithRawResponse(client.audio)
self.files = files.AsyncFilesWithRawResponse(client.files)
self.chat = resources.AsyncChatResourceWithRawResponse(client.chat)
self.images = images.AsyncImagesWithRawResponse(client.images)
self.fine_tuning = resources.AsyncFineTuningResourceWithRawResponse(client.fine_tuning)
self.audio = audio.AsyncAudioWithRawResponse(client.audio)
self.inference = resources.AsyncInferenceResourceWithRawResponse(client.inference)
self.moderations = moderations.AsyncModerationsWithRawResponse(client.moderations)
self.languagelabs = resources.AsyncLanguageLabsResourceWithRawResponse(client.languagelabs)
self.models = models.AsyncModelsWithRawResponse(client.models)
self.fine_tuning = fine_tuning.AsyncFineTuningWithRawResponse(client.fine_tuning)
self.beta = beta.AsyncBetaWithRawResponse(client.beta)
self.batches = batches.AsyncBatchesWithRawResponse(client.batches)
self.uploads = uploads.AsyncUploadsWithRawResponse(client.uploads)
class OpenAIWithStreamedResponse:
class KrutrimCloudWithStreamedResponse:
def __init__(self, client: OpenAI) -> None:
def __init__(self, client: KrutrimCloud) -> None:
self.completions = completions.CompletionsWithStreamingResponse(client.completions)
self.images = resources.ImagesResourceWithStreamingResponse(client.images)
self.chat = chat.ChatWithStreamingResponse(client.chat)
self.multimodal = resources.MultimodalResourceWithStreamingResponse(client.multimodal)
self.embeddings = embeddings.EmbeddingsWithStreamingResponse(client.embeddings)
self.audio = resources.AudioResourceWithStreamingResponse(client.audio)
self.files = files.FilesWithStreamingResponse(client.files)
self.chat = resources.ChatResourceWithStreamingResponse(client.chat)
self.images = images.ImagesWithStreamingResponse(client.images)
self.fine_tuning = resources.FineTuningResourceWithStreamingResponse(client.fine_tuning)
self.audio = audio.AudioWithStreamingResponse(client.audio)
self.inference = resources.InferenceResourceWithStreamingResponse(client.inference)
self.moderations = moderations.ModerationsWithStreamingResponse(client.moderations)
self.languaglabs = resources.LanguageLabsResourceWithStreamingResponse(client.languagelabs)
self.models = models.ModelsWithStreamingResponse(client.models)
self.fine_tuning = fine_tuning.FineTuningWithStreamingResponse(client.fine_tuning)
self.beta = beta.BetaWithStreamingResponse(client.beta)
self.batches = batches.BatchesWithStreamingResponse(client.batches)
self.uploads = uploads.UploadsWithStreamingResponse(client.uploads)
class AsyncOpenAIWithStreamedResponse:
def __init__(self, client: AsyncOpenAI) -> None:
class AsyncKrutrimCloudWithStreamedResponse:
self.completions = completions.AsyncCompletionsWithStreamingResponse(client.completions)
def __init__(self, client: AsyncKrutrimCloud) -> None:
self.chat = chat.AsyncChatWithStreamingResponse(client.chat)
self.images = resources.AsyncImagesResourceWithStreamingResponse(client.images)
self.embeddings = embeddings.AsyncEmbeddingsWithStreamingResponse(client.embeddings)
self.multimodal = resources.AsyncMultimodalResourceWithStreamingResponse(client.multimodal)
self.files = files.AsyncFilesWithStreamingResponse(client.files)
self.audio = resources.AsyncAudioResourceWithStreamingResponse(client.audio)
self.images = images.AsyncImagesWithStreamingResponse(client.images)
self.chat = resources.AsyncChatResourceWithStreamingResponse(client.chat)
self.audio = audio.AsyncAudioWithStreamingResponse(client.audio)
self.fine_tuning = resources.AsyncFineTuningResourceWithStreamingResponse(client.fine_tuning)
self.moderations = moderations.AsyncModerationsWithStreamingResponse(client.moderations)
self.inference = resources.AsyncInferenceResourceWithStreamingResponse(client.inference)
self.models = models.AsyncModelsWithStreamingResponse(client.models)
self.languaglabs = resources.AsyncLanguageLabsResourceWithStreamingResponse(client.languagelabs)
self.fine_tuning = fine_tuning.AsyncFineTuningWithStreamingResponse(client.fine_tuning)
self.beta = beta.AsyncBetaWithStreamingResponse(client.beta)
self.batches = batches.AsyncBatchesWithStreamingResponse(client.batches)
self.uploads = uploads.AsyncUploadsWithStreamingResponse(client.uploads)
Client = OpenAI
AsyncClient = AsyncOpenAI
Client = KrutrimCloud
AsyncClient = AsyncKrutrimCloud