openai/openai-python
Publicmirrored from https://github.com/openai/openai-pythonAvailable
src/openai/_client.py
543lines · modecode
| 1 | # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details. |
| 2 | |
| 3 | from __future__ import annotations |
| 4 | |
| 5 | import os |
| 6 | from typing import Any, Union, Mapping |
| 7 | from typing_extensions import Self, override |
| 8 | |
| 9 | import httpx |
| 10 | |
| 11 | from . import resources, _exceptions |
| 12 | from ._qs import Querystring |
| 13 | from ._types import ( |
| 14 | NOT_GIVEN, |
| 15 | Omit, |
| 16 | Timeout, |
| 17 | NotGiven, |
| 18 | Transport, |
| 19 | ProxiesTypes, |
| 20 | RequestOptions, |
| 21 | ) |
| 22 | from ._utils import ( |
| 23 | is_given, |
| 24 | is_mapping, |
| 25 | get_async_library, |
| 26 | ) |
| 27 | from ._version import __version__ |
| 28 | from ._streaming import Stream as Stream, AsyncStream as AsyncStream |
| 29 | from ._exceptions import OpenAIError, APIStatusError |
| 30 | from ._base_client import ( |
| 31 | DEFAULT_MAX_RETRIES, |
| 32 | SyncAPIClient, |
| 33 | AsyncAPIClient, |
| 34 | ) |
| 35 | |
| 36 | __all__ = [ |
| 37 | "Timeout", |
| 38 | "Transport", |
| 39 | "ProxiesTypes", |
| 40 | "RequestOptions", |
| 41 | "resources", |
| 42 | "OpenAI", |
| 43 | "AsyncOpenAI", |
| 44 | "Client", |
| 45 | "AsyncClient", |
| 46 | ] |
| 47 | |
| 48 | |
| 49 | class OpenAI(SyncAPIClient): |
| 50 | completions: resources.Completions |
| 51 | chat: resources.Chat |
| 52 | embeddings: resources.Embeddings |
| 53 | files: resources.Files |
| 54 | images: resources.Images |
| 55 | audio: resources.Audio |
| 56 | moderations: resources.Moderations |
| 57 | models: resources.Models |
| 58 | fine_tuning: resources.FineTuning |
| 59 | beta: resources.Beta |
| 60 | batches: resources.Batches |
| 61 | uploads: resources.Uploads |
| 62 | with_raw_response: OpenAIWithRawResponse |
| 63 | with_streaming_response: OpenAIWithStreamedResponse |
| 64 | |
| 65 | # client options |
| 66 | api_key: str |
| 67 | organization: str | None |
| 68 | project: str | None |
| 69 | |
| 70 | def __init__( |
| 71 | self, |
| 72 | *, |
| 73 | api_key: str | None = None, |
| 74 | organization: str | None = None, |
| 75 | project: str | None = None, |
| 76 | base_url: str | httpx.URL | None = None, |
| 77 | timeout: Union[float, Timeout, None, NotGiven] = NOT_GIVEN, |
| 78 | max_retries: int = DEFAULT_MAX_RETRIES, |
| 79 | default_headers: Mapping[str, str] | None = None, |
| 80 | default_query: Mapping[str, object] | None = None, |
| 81 | # Configure a custom httpx client. |
| 82 | # We provide a `DefaultHttpxClient` class that you can pass to retain the default values we use for `limits`, `timeout` & `follow_redirects`. |
| 83 | # See the [httpx documentation](https://www.python-httpx.org/api/#client) for more details. |
| 84 | http_client: httpx.Client | None = None, |
| 85 | # Enable or disable schema validation for data returned by the API. |
| 86 | # When enabled an error APIResponseValidationError is raised |
| 87 | # if the API responds with invalid data for the expected schema. |
| 88 | # |
| 89 | # This parameter may be removed or changed in the future. |
| 90 | # If you rely on this feature, please open a GitHub issue |
| 91 | # outlining your use-case to help us decide if it should be |
| 92 | # part of our public interface in the future. |
| 93 | _strict_response_validation: bool = False, |
| 94 | ) -> None: |
| 95 | """Construct a new synchronous openai client instance. |
| 96 | |
| 97 | This automatically infers the following arguments from their corresponding environment variables if they are not provided: |
| 98 | - `api_key` from `OPENAI_API_KEY` |
| 99 | - `organization` from `OPENAI_ORG_ID` |
| 100 | - `project` from `OPENAI_PROJECT_ID` |
| 101 | """ |
| 102 | if api_key is None: |
| 103 | api_key = os.environ.get("OPENAI_API_KEY") |
| 104 | if api_key is None: |
| 105 | raise OpenAIError( |
| 106 | "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" |
| 107 | ) |
| 108 | self.api_key = api_key |
| 109 | |
| 110 | if organization is None: |
| 111 | organization = os.environ.get("OPENAI_ORG_ID") |
| 112 | self.organization = organization |
| 113 | |
| 114 | if project is None: |
| 115 | project = os.environ.get("OPENAI_PROJECT_ID") |
| 116 | self.project = project |
| 117 | |
| 118 | if base_url is None: |
| 119 | base_url = os.environ.get("OPENAI_BASE_URL") |
| 120 | if base_url is None: |
| 121 | base_url = f"https://api.openai.com/v1" |
| 122 | |
| 123 | super().__init__( |
| 124 | version=__version__, |
| 125 | base_url=base_url, |
| 126 | max_retries=max_retries, |
| 127 | timeout=timeout, |
| 128 | http_client=http_client, |
| 129 | custom_headers=default_headers, |
| 130 | custom_query=default_query, |
| 131 | _strict_response_validation=_strict_response_validation, |
| 132 | ) |
| 133 | |
| 134 | self._default_stream_cls = Stream |
| 135 | |
| 136 | self.completions = resources.Completions(self) |
| 137 | self.chat = resources.Chat(self) |
| 138 | self.embeddings = resources.Embeddings(self) |
| 139 | self.files = resources.Files(self) |
| 140 | self.images = resources.Images(self) |
| 141 | self.audio = resources.Audio(self) |
| 142 | self.moderations = resources.Moderations(self) |
| 143 | self.models = resources.Models(self) |
| 144 | self.fine_tuning = resources.FineTuning(self) |
| 145 | self.beta = resources.Beta(self) |
| 146 | self.batches = resources.Batches(self) |
| 147 | self.uploads = resources.Uploads(self) |
| 148 | self.with_raw_response = OpenAIWithRawResponse(self) |
| 149 | self.with_streaming_response = OpenAIWithStreamedResponse(self) |
| 150 | |
| 151 | @property |
| 152 | @override |
| 153 | def qs(self) -> Querystring: |
| 154 | return Querystring(array_format="brackets") |
| 155 | |
| 156 | @property |
| 157 | @override |
| 158 | def auth_headers(self) -> dict[str, str]: |
| 159 | api_key = self.api_key |
| 160 | return {"Authorization": f"Bearer {api_key}"} |
| 161 | |
| 162 | @property |
| 163 | @override |
| 164 | def default_headers(self) -> dict[str, str | Omit]: |
| 165 | return { |
| 166 | **super().default_headers, |
| 167 | "X-Stainless-Async": "false", |
| 168 | "OpenAI-Organization": self.organization if self.organization is not None else Omit(), |
| 169 | "OpenAI-Project": self.project if self.project is not None else Omit(), |
| 170 | **self._custom_headers, |
| 171 | } |
| 172 | |
| 173 | def copy( |
| 174 | self, |
| 175 | *, |
| 176 | api_key: str | None = None, |
| 177 | organization: str | None = None, |
| 178 | project: str | None = None, |
| 179 | base_url: str | httpx.URL | None = None, |
| 180 | timeout: float | Timeout | None | NotGiven = NOT_GIVEN, |
| 181 | http_client: httpx.Client | None = None, |
| 182 | max_retries: int | NotGiven = NOT_GIVEN, |
| 183 | default_headers: Mapping[str, str] | None = None, |
| 184 | set_default_headers: Mapping[str, str] | None = None, |
| 185 | default_query: Mapping[str, object] | None = None, |
| 186 | set_default_query: Mapping[str, object] | None = None, |
| 187 | _extra_kwargs: Mapping[str, Any] = {}, |
| 188 | ) -> Self: |
| 189 | """ |
| 190 | Create a new client instance re-using the same options given to the current client with optional overriding. |
| 191 | """ |
| 192 | if default_headers is not None and set_default_headers is not None: |
| 193 | raise ValueError("The `default_headers` and `set_default_headers` arguments are mutually exclusive") |
| 194 | |
| 195 | if default_query is not None and set_default_query is not None: |
| 196 | raise ValueError("The `default_query` and `set_default_query` arguments are mutually exclusive") |
| 197 | |
| 198 | headers = self._custom_headers |
| 199 | if default_headers is not None: |
| 200 | headers = {**headers, **default_headers} |
| 201 | elif set_default_headers is not None: |
| 202 | headers = set_default_headers |
| 203 | |
| 204 | params = self._custom_query |
| 205 | if default_query is not None: |
| 206 | params = {**params, **default_query} |
| 207 | elif set_default_query is not None: |
| 208 | params = set_default_query |
| 209 | |
| 210 | http_client = http_client or self._client |
| 211 | return self.__class__( |
| 212 | api_key=api_key or self.api_key, |
| 213 | organization=organization or self.organization, |
| 214 | project=project or self.project, |
| 215 | base_url=base_url or self.base_url, |
| 216 | timeout=self.timeout if isinstance(timeout, NotGiven) else timeout, |
| 217 | http_client=http_client, |
| 218 | max_retries=max_retries if is_given(max_retries) else self.max_retries, |
| 219 | default_headers=headers, |
| 220 | default_query=params, |
| 221 | **_extra_kwargs, |
| 222 | ) |
| 223 | |
| 224 | # Alias for `copy` for nicer inline usage, e.g. |
| 225 | # client.with_options(timeout=10).foo.create(...) |
| 226 | with_options = copy |
| 227 | |
| 228 | @override |
| 229 | def _make_status_error( |
| 230 | self, |
| 231 | err_msg: str, |
| 232 | *, |
| 233 | body: object, |
| 234 | response: httpx.Response, |
| 235 | ) -> APIStatusError: |
| 236 | data = body.get("error", body) if is_mapping(body) else body |
| 237 | if response.status_code == 400: |
| 238 | return _exceptions.BadRequestError(err_msg, response=response, body=data) |
| 239 | |
| 240 | if response.status_code == 401: |
| 241 | return _exceptions.AuthenticationError(err_msg, response=response, body=data) |
| 242 | |
| 243 | if response.status_code == 403: |
| 244 | return _exceptions.PermissionDeniedError(err_msg, response=response, body=data) |
| 245 | |
| 246 | if response.status_code == 404: |
| 247 | return _exceptions.NotFoundError(err_msg, response=response, body=data) |
| 248 | |
| 249 | if response.status_code == 409: |
| 250 | return _exceptions.ConflictError(err_msg, response=response, body=data) |
| 251 | |
| 252 | if response.status_code == 422: |
| 253 | return _exceptions.UnprocessableEntityError(err_msg, response=response, body=data) |
| 254 | |
| 255 | if response.status_code == 429: |
| 256 | return _exceptions.RateLimitError(err_msg, response=response, body=data) |
| 257 | |
| 258 | if response.status_code >= 500: |
| 259 | return _exceptions.InternalServerError(err_msg, response=response, body=data) |
| 260 | return APIStatusError(err_msg, response=response, body=data) |
| 261 | |
| 262 | |
| 263 | class AsyncOpenAI(AsyncAPIClient): |
| 264 | completions: resources.AsyncCompletions |
| 265 | chat: resources.AsyncChat |
| 266 | embeddings: resources.AsyncEmbeddings |
| 267 | files: resources.AsyncFiles |
| 268 | images: resources.AsyncImages |
| 269 | audio: resources.AsyncAudio |
| 270 | moderations: resources.AsyncModerations |
| 271 | models: resources.AsyncModels |
| 272 | fine_tuning: resources.AsyncFineTuning |
| 273 | beta: resources.AsyncBeta |
| 274 | batches: resources.AsyncBatches |
| 275 | uploads: resources.AsyncUploads |
| 276 | with_raw_response: AsyncOpenAIWithRawResponse |
| 277 | with_streaming_response: AsyncOpenAIWithStreamedResponse |
| 278 | |
| 279 | # client options |
| 280 | api_key: str |
| 281 | organization: str | None |
| 282 | project: str | None |
| 283 | |
| 284 | def __init__( |
| 285 | self, |
| 286 | *, |
| 287 | api_key: str | None = None, |
| 288 | organization: str | None = None, |
| 289 | project: str | None = None, |
| 290 | base_url: str | httpx.URL | None = None, |
| 291 | timeout: Union[float, Timeout, None, NotGiven] = NOT_GIVEN, |
| 292 | max_retries: int = DEFAULT_MAX_RETRIES, |
| 293 | default_headers: Mapping[str, str] | None = None, |
| 294 | default_query: Mapping[str, object] | None = None, |
| 295 | # Configure a custom httpx client. |
| 296 | # We provide a `DefaultAsyncHttpxClient` class that you can pass to retain the default values we use for `limits`, `timeout` & `follow_redirects`. |
| 297 | # See the [httpx documentation](https://www.python-httpx.org/api/#asyncclient) for more details. |
| 298 | http_client: httpx.AsyncClient | None = None, |
| 299 | # Enable or disable schema validation for data returned by the API. |
| 300 | # When enabled an error APIResponseValidationError is raised |
| 301 | # if the API responds with invalid data for the expected schema. |
| 302 | # |
| 303 | # This parameter may be removed or changed in the future. |
| 304 | # If you rely on this feature, please open a GitHub issue |
| 305 | # outlining your use-case to help us decide if it should be |
| 306 | # part of our public interface in the future. |
| 307 | _strict_response_validation: bool = False, |
| 308 | ) -> None: |
| 309 | """Construct a new async openai client instance. |
| 310 | |
| 311 | This automatically infers the following arguments from their corresponding environment variables if they are not provided: |
| 312 | - `api_key` from `OPENAI_API_KEY` |
| 313 | - `organization` from `OPENAI_ORG_ID` |
| 314 | - `project` from `OPENAI_PROJECT_ID` |
| 315 | """ |
| 316 | if api_key is None: |
| 317 | api_key = os.environ.get("OPENAI_API_KEY") |
| 318 | if api_key is None: |
| 319 | raise OpenAIError( |
| 320 | "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" |
| 321 | ) |
| 322 | self.api_key = api_key |
| 323 | |
| 324 | if organization is None: |
| 325 | organization = os.environ.get("OPENAI_ORG_ID") |
| 326 | self.organization = organization |
| 327 | |
| 328 | if project is None: |
| 329 | project = os.environ.get("OPENAI_PROJECT_ID") |
| 330 | self.project = project |
| 331 | |
| 332 | if base_url is None: |
| 333 | base_url = os.environ.get("OPENAI_BASE_URL") |
| 334 | if base_url is None: |
| 335 | base_url = f"https://api.openai.com/v1" |
| 336 | |
| 337 | super().__init__( |
| 338 | version=__version__, |
| 339 | base_url=base_url, |
| 340 | max_retries=max_retries, |
| 341 | timeout=timeout, |
| 342 | http_client=http_client, |
| 343 | custom_headers=default_headers, |
| 344 | custom_query=default_query, |
| 345 | _strict_response_validation=_strict_response_validation, |
| 346 | ) |
| 347 | |
| 348 | self._default_stream_cls = AsyncStream |
| 349 | |
| 350 | self.completions = resources.AsyncCompletions(self) |
| 351 | self.chat = resources.AsyncChat(self) |
| 352 | self.embeddings = resources.AsyncEmbeddings(self) |
| 353 | self.files = resources.AsyncFiles(self) |
| 354 | self.images = resources.AsyncImages(self) |
| 355 | self.audio = resources.AsyncAudio(self) |
| 356 | self.moderations = resources.AsyncModerations(self) |
| 357 | self.models = resources.AsyncModels(self) |
| 358 | self.fine_tuning = resources.AsyncFineTuning(self) |
| 359 | self.beta = resources.AsyncBeta(self) |
| 360 | self.batches = resources.AsyncBatches(self) |
| 361 | self.uploads = resources.AsyncUploads(self) |
| 362 | self.with_raw_response = AsyncOpenAIWithRawResponse(self) |
| 363 | self.with_streaming_response = AsyncOpenAIWithStreamedResponse(self) |
| 364 | |
| 365 | @property |
| 366 | @override |
| 367 | def qs(self) -> Querystring: |
| 368 | return Querystring(array_format="brackets") |
| 369 | |
| 370 | @property |
| 371 | @override |
| 372 | def auth_headers(self) -> dict[str, str]: |
| 373 | api_key = self.api_key |
| 374 | return {"Authorization": f"Bearer {api_key}"} |
| 375 | |
| 376 | @property |
| 377 | @override |
| 378 | def default_headers(self) -> dict[str, str | Omit]: |
| 379 | return { |
| 380 | **super().default_headers, |
| 381 | "X-Stainless-Async": f"async:{get_async_library()}", |
| 382 | "OpenAI-Organization": self.organization if self.organization is not None else Omit(), |
| 383 | "OpenAI-Project": self.project if self.project is not None else Omit(), |
| 384 | **self._custom_headers, |
| 385 | } |
| 386 | |
| 387 | def copy( |
| 388 | self, |
| 389 | *, |
| 390 | api_key: str | None = None, |
| 391 | organization: str | None = None, |
| 392 | project: str | None = None, |
| 393 | base_url: str | httpx.URL | None = None, |
| 394 | timeout: float | Timeout | None | NotGiven = NOT_GIVEN, |
| 395 | http_client: httpx.AsyncClient | None = None, |
| 396 | max_retries: int | NotGiven = NOT_GIVEN, |
| 397 | default_headers: Mapping[str, str] | None = None, |
| 398 | set_default_headers: Mapping[str, str] | None = None, |
| 399 | default_query: Mapping[str, object] | None = None, |
| 400 | set_default_query: Mapping[str, object] | None = None, |
| 401 | _extra_kwargs: Mapping[str, Any] = {}, |
| 402 | ) -> Self: |
| 403 | """ |
| 404 | Create a new client instance re-using the same options given to the current client with optional overriding. |
| 405 | """ |
| 406 | if default_headers is not None and set_default_headers is not None: |
| 407 | raise ValueError("The `default_headers` and `set_default_headers` arguments are mutually exclusive") |
| 408 | |
| 409 | if default_query is not None and set_default_query is not None: |
| 410 | raise ValueError("The `default_query` and `set_default_query` arguments are mutually exclusive") |
| 411 | |
| 412 | headers = self._custom_headers |
| 413 | if default_headers is not None: |
| 414 | headers = {**headers, **default_headers} |
| 415 | elif set_default_headers is not None: |
| 416 | headers = set_default_headers |
| 417 | |
| 418 | params = self._custom_query |
| 419 | if default_query is not None: |
| 420 | params = {**params, **default_query} |
| 421 | elif set_default_query is not None: |
| 422 | params = set_default_query |
| 423 | |
| 424 | http_client = http_client or self._client |
| 425 | return self.__class__( |
| 426 | api_key=api_key or self.api_key, |
| 427 | organization=organization or self.organization, |
| 428 | project=project or self.project, |
| 429 | base_url=base_url or self.base_url, |
| 430 | timeout=self.timeout if isinstance(timeout, NotGiven) else timeout, |
| 431 | http_client=http_client, |
| 432 | max_retries=max_retries if is_given(max_retries) else self.max_retries, |
| 433 | default_headers=headers, |
| 434 | default_query=params, |
| 435 | **_extra_kwargs, |
| 436 | ) |
| 437 | |
| 438 | # Alias for `copy` for nicer inline usage, e.g. |
| 439 | # client.with_options(timeout=10).foo.create(...) |
| 440 | with_options = copy |
| 441 | |
| 442 | @override |
| 443 | def _make_status_error( |
| 444 | self, |
| 445 | err_msg: str, |
| 446 | *, |
| 447 | body: object, |
| 448 | response: httpx.Response, |
| 449 | ) -> APIStatusError: |
| 450 | data = body.get("error", body) if is_mapping(body) else body |
| 451 | if response.status_code == 400: |
| 452 | return _exceptions.BadRequestError(err_msg, response=response, body=data) |
| 453 | |
| 454 | if response.status_code == 401: |
| 455 | return _exceptions.AuthenticationError(err_msg, response=response, body=data) |
| 456 | |
| 457 | if response.status_code == 403: |
| 458 | return _exceptions.PermissionDeniedError(err_msg, response=response, body=data) |
| 459 | |
| 460 | if response.status_code == 404: |
| 461 | return _exceptions.NotFoundError(err_msg, response=response, body=data) |
| 462 | |
| 463 | if response.status_code == 409: |
| 464 | return _exceptions.ConflictError(err_msg, response=response, body=data) |
| 465 | |
| 466 | if response.status_code == 422: |
| 467 | return _exceptions.UnprocessableEntityError(err_msg, response=response, body=data) |
| 468 | |
| 469 | if response.status_code == 429: |
| 470 | return _exceptions.RateLimitError(err_msg, response=response, body=data) |
| 471 | |
| 472 | if response.status_code >= 500: |
| 473 | return _exceptions.InternalServerError(err_msg, response=response, body=data) |
| 474 | return APIStatusError(err_msg, response=response, body=data) |
| 475 | |
| 476 | |
| 477 | class OpenAIWithRawResponse: |
| 478 | def __init__(self, client: OpenAI) -> None: |
| 479 | self.completions = resources.CompletionsWithRawResponse(client.completions) |
| 480 | self.chat = resources.ChatWithRawResponse(client.chat) |
| 481 | self.embeddings = resources.EmbeddingsWithRawResponse(client.embeddings) |
| 482 | self.files = resources.FilesWithRawResponse(client.files) |
| 483 | self.images = resources.ImagesWithRawResponse(client.images) |
| 484 | self.audio = resources.AudioWithRawResponse(client.audio) |
| 485 | self.moderations = resources.ModerationsWithRawResponse(client.moderations) |
| 486 | self.models = resources.ModelsWithRawResponse(client.models) |
| 487 | self.fine_tuning = resources.FineTuningWithRawResponse(client.fine_tuning) |
| 488 | self.beta = resources.BetaWithRawResponse(client.beta) |
| 489 | self.batches = resources.BatchesWithRawResponse(client.batches) |
| 490 | self.uploads = resources.UploadsWithRawResponse(client.uploads) |
| 491 | |
| 492 | |
| 493 | class AsyncOpenAIWithRawResponse: |
| 494 | def __init__(self, client: AsyncOpenAI) -> None: |
| 495 | self.completions = resources.AsyncCompletionsWithRawResponse(client.completions) |
| 496 | self.chat = resources.AsyncChatWithRawResponse(client.chat) |
| 497 | self.embeddings = resources.AsyncEmbeddingsWithRawResponse(client.embeddings) |
| 498 | self.files = resources.AsyncFilesWithRawResponse(client.files) |
| 499 | self.images = resources.AsyncImagesWithRawResponse(client.images) |
| 500 | self.audio = resources.AsyncAudioWithRawResponse(client.audio) |
| 501 | self.moderations = resources.AsyncModerationsWithRawResponse(client.moderations) |
| 502 | self.models = resources.AsyncModelsWithRawResponse(client.models) |
| 503 | self.fine_tuning = resources.AsyncFineTuningWithRawResponse(client.fine_tuning) |
| 504 | self.beta = resources.AsyncBetaWithRawResponse(client.beta) |
| 505 | self.batches = resources.AsyncBatchesWithRawResponse(client.batches) |
| 506 | self.uploads = resources.AsyncUploadsWithRawResponse(client.uploads) |
| 507 | |
| 508 | |
| 509 | class OpenAIWithStreamedResponse: |
| 510 | def __init__(self, client: OpenAI) -> None: |
| 511 | self.completions = resources.CompletionsWithStreamingResponse(client.completions) |
| 512 | self.chat = resources.ChatWithStreamingResponse(client.chat) |
| 513 | self.embeddings = resources.EmbeddingsWithStreamingResponse(client.embeddings) |
| 514 | self.files = resources.FilesWithStreamingResponse(client.files) |
| 515 | self.images = resources.ImagesWithStreamingResponse(client.images) |
| 516 | self.audio = resources.AudioWithStreamingResponse(client.audio) |
| 517 | self.moderations = resources.ModerationsWithStreamingResponse(client.moderations) |
| 518 | self.models = resources.ModelsWithStreamingResponse(client.models) |
| 519 | self.fine_tuning = resources.FineTuningWithStreamingResponse(client.fine_tuning) |
| 520 | self.beta = resources.BetaWithStreamingResponse(client.beta) |
| 521 | self.batches = resources.BatchesWithStreamingResponse(client.batches) |
| 522 | self.uploads = resources.UploadsWithStreamingResponse(client.uploads) |
| 523 | |
| 524 | |
| 525 | class AsyncOpenAIWithStreamedResponse: |
| 526 | def __init__(self, client: AsyncOpenAI) -> None: |
| 527 | self.completions = resources.AsyncCompletionsWithStreamingResponse(client.completions) |
| 528 | self.chat = resources.AsyncChatWithStreamingResponse(client.chat) |
| 529 | self.embeddings = resources.AsyncEmbeddingsWithStreamingResponse(client.embeddings) |
| 530 | self.files = resources.AsyncFilesWithStreamingResponse(client.files) |
| 531 | self.images = resources.AsyncImagesWithStreamingResponse(client.images) |
| 532 | self.audio = resources.AsyncAudioWithStreamingResponse(client.audio) |
| 533 | self.moderations = resources.AsyncModerationsWithStreamingResponse(client.moderations) |
| 534 | self.models = resources.AsyncModelsWithStreamingResponse(client.models) |
| 535 | self.fine_tuning = resources.AsyncFineTuningWithStreamingResponse(client.fine_tuning) |
| 536 | self.beta = resources.AsyncBetaWithStreamingResponse(client.beta) |
| 537 | self.batches = resources.AsyncBatchesWithStreamingResponse(client.batches) |
| 538 | self.uploads = resources.AsyncUploadsWithStreamingResponse(client.uploads) |
| 539 | |
| 540 | |
| 541 | Client = OpenAI |
| 542 | |
| 543 | AsyncClient = AsyncOpenAI |
| 544 | |