File size: 10,354 Bytes
e3278e4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 |
from typing import Any, Coroutine, Optional, Union, cast
import httpx
from openai import AsyncAzureOpenAI, AzureOpenAI
from openai.types.file_deleted import FileDeleted
from litellm._logging import verbose_logger
from litellm.llms.base import BaseLLM
from litellm.types.llms.openai import *
from ..common_utils import get_azure_openai_client
class AzureOpenAIFilesAPI(BaseLLM):
"""
AzureOpenAI methods to support for batches
- create_file()
- retrieve_file()
- list_files()
- delete_file()
- file_content()
- update_file()
"""
def __init__(self) -> None:
super().__init__()
async def acreate_file(
self,
create_file_data: CreateFileRequest,
openai_client: AsyncAzureOpenAI,
) -> FileObject:
verbose_logger.debug("create_file_data=%s", create_file_data)
response = await openai_client.files.create(**create_file_data)
verbose_logger.debug("create_file_response=%s", response)
return response
def create_file(
self,
_is_async: bool,
create_file_data: CreateFileRequest,
api_base: Optional[str],
api_key: Optional[str],
api_version: Optional[str],
timeout: Union[float, httpx.Timeout],
max_retries: Optional[int],
client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = None,
) -> Union[FileObject, Coroutine[Any, Any, FileObject]]:
openai_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
get_azure_openai_client(
api_key=api_key,
api_base=api_base,
api_version=api_version,
timeout=timeout,
max_retries=max_retries,
client=client,
_is_async=_is_async,
)
)
if openai_client is None:
raise ValueError(
"AzureOpenAI client is not initialized. Make sure api_key is passed or OPENAI_API_KEY is set in the environment."
)
if _is_async is True:
if not isinstance(openai_client, AsyncAzureOpenAI):
raise ValueError(
"AzureOpenAI client is not an instance of AsyncAzureOpenAI. Make sure you passed an AsyncAzureOpenAI client."
)
return self.acreate_file( # type: ignore
create_file_data=create_file_data, openai_client=openai_client
)
response = openai_client.files.create(**create_file_data)
return response
async def afile_content(
self,
file_content_request: FileContentRequest,
openai_client: AsyncAzureOpenAI,
) -> HttpxBinaryResponseContent:
response = await openai_client.files.content(**file_content_request)
return HttpxBinaryResponseContent(response=response.response)
def file_content(
self,
_is_async: bool,
file_content_request: FileContentRequest,
api_base: Optional[str],
api_key: Optional[str],
timeout: Union[float, httpx.Timeout],
max_retries: Optional[int],
api_version: Optional[str] = None,
client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = None,
) -> Union[
HttpxBinaryResponseContent, Coroutine[Any, Any, HttpxBinaryResponseContent]
]:
openai_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
get_azure_openai_client(
api_key=api_key,
api_base=api_base,
timeout=timeout,
api_version=api_version,
max_retries=max_retries,
organization=None,
client=client,
_is_async=_is_async,
)
)
if openai_client is None:
raise ValueError(
"AzureOpenAI client is not initialized. Make sure api_key is passed or OPENAI_API_KEY is set in the environment."
)
if _is_async is True:
if not isinstance(openai_client, AsyncAzureOpenAI):
raise ValueError(
"AzureOpenAI client is not an instance of AsyncAzureOpenAI. Make sure you passed an AsyncAzureOpenAI client."
)
return self.afile_content( # type: ignore
file_content_request=file_content_request,
openai_client=openai_client,
)
response = cast(AzureOpenAI, openai_client).files.content(
**file_content_request
)
return HttpxBinaryResponseContent(response=response.response)
async def aretrieve_file(
self,
file_id: str,
openai_client: AsyncAzureOpenAI,
) -> FileObject:
response = await openai_client.files.retrieve(file_id=file_id)
return response
def retrieve_file(
self,
_is_async: bool,
file_id: str,
api_base: Optional[str],
api_key: Optional[str],
timeout: Union[float, httpx.Timeout],
max_retries: Optional[int],
api_version: Optional[str] = None,
client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = None,
):
openai_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
get_azure_openai_client(
api_key=api_key,
api_base=api_base,
timeout=timeout,
max_retries=max_retries,
organization=None,
api_version=api_version,
client=client,
_is_async=_is_async,
)
)
if openai_client is None:
raise ValueError(
"AzureOpenAI client is not initialized. Make sure api_key is passed or OPENAI_API_KEY is set in the environment."
)
if _is_async is True:
if not isinstance(openai_client, AsyncAzureOpenAI):
raise ValueError(
"AzureOpenAI client is not an instance of AsyncAzureOpenAI. Make sure you passed an AsyncAzureOpenAI client."
)
return self.aretrieve_file( # type: ignore
file_id=file_id,
openai_client=openai_client,
)
response = openai_client.files.retrieve(file_id=file_id)
return response
async def adelete_file(
self,
file_id: str,
openai_client: AsyncAzureOpenAI,
) -> FileDeleted:
response = await openai_client.files.delete(file_id=file_id)
if not isinstance(response, FileDeleted): # azure returns an empty string
return FileDeleted(id=file_id, deleted=True, object="file")
return response
def delete_file(
self,
_is_async: bool,
file_id: str,
api_base: Optional[str],
api_key: Optional[str],
timeout: Union[float, httpx.Timeout],
max_retries: Optional[int],
organization: Optional[str] = None,
api_version: Optional[str] = None,
client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = None,
):
openai_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
get_azure_openai_client(
api_key=api_key,
api_base=api_base,
timeout=timeout,
max_retries=max_retries,
organization=organization,
api_version=api_version,
client=client,
_is_async=_is_async,
)
)
if openai_client is None:
raise ValueError(
"AzureOpenAI client is not initialized. Make sure api_key is passed or OPENAI_API_KEY is set in the environment."
)
if _is_async is True:
if not isinstance(openai_client, AsyncAzureOpenAI):
raise ValueError(
"AzureOpenAI client is not an instance of AsyncAzureOpenAI. Make sure you passed an AsyncAzureOpenAI client."
)
return self.adelete_file( # type: ignore
file_id=file_id,
openai_client=openai_client,
)
response = openai_client.files.delete(file_id=file_id)
if not isinstance(response, FileDeleted): # azure returns an empty string
return FileDeleted(id=file_id, deleted=True, object="file")
return response
async def alist_files(
self,
openai_client: AsyncAzureOpenAI,
purpose: Optional[str] = None,
):
if isinstance(purpose, str):
response = await openai_client.files.list(purpose=purpose)
else:
response = await openai_client.files.list()
return response
def list_files(
self,
_is_async: bool,
api_base: Optional[str],
api_key: Optional[str],
timeout: Union[float, httpx.Timeout],
max_retries: Optional[int],
purpose: Optional[str] = None,
api_version: Optional[str] = None,
client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = None,
):
openai_client: Optional[Union[AzureOpenAI, AsyncAzureOpenAI]] = (
get_azure_openai_client(
api_key=api_key,
api_base=api_base,
timeout=timeout,
max_retries=max_retries,
organization=None, # openai param
api_version=api_version,
client=client,
_is_async=_is_async,
)
)
if openai_client is None:
raise ValueError(
"AzureOpenAI client is not initialized. Make sure api_key is passed or OPENAI_API_KEY is set in the environment."
)
if _is_async is True:
if not isinstance(openai_client, AsyncAzureOpenAI):
raise ValueError(
"AzureOpenAI client is not an instance of AsyncAzureOpenAI. Make sure you passed an AsyncAzureOpenAI client."
)
return self.alist_files( # type: ignore
purpose=purpose,
openai_client=openai_client,
)
if isinstance(purpose, str):
response = openai_client.files.list(purpose=purpose)
else:
response = openai_client.files.list()
return response
|