two version of R2R are hereHEADmaster

1 files changed, 583 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/openai/_client.py b/.venv/lib/python3.12/site-packages/openai/_client.py
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+++ b/.venv/lib/python3.12/site-packages/openai/_client.py
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+# 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 _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 .resources import files, images, models, batches, embeddings, completions, moderations
+from ._streaming import Stream as Stream, AsyncStream as AsyncStream
+from ._exceptions import OpenAIError, APIStatusError
+from ._base_client import (
+    DEFAULT_MAX_RETRIES,
+    SyncAPIClient,
+    AsyncAPIClient,
+)
+from .resources.beta import beta
+from .resources.chat import chat
+from .resources.audio import audio
+from .resources.uploads import uploads
+from .resources.responses import responses
+from .resources.fine_tuning import fine_tuning
+from .resources.vector_stores import vector_stores
+
+__all__ = ["Timeout", "Transport", "ProxiesTypes", "RequestOptions", "OpenAI", "AsyncOpenAI", "Client", "AsyncClient"]
+
+
+class OpenAI(SyncAPIClient):
+    completions: completions.Completions
+    chat: chat.Chat
+    embeddings: embeddings.Embeddings
+    files: files.Files
+    images: images.Images
+    audio: audio.Audio
+    moderations: moderations.Moderations
+    models: models.Models
+    fine_tuning: fine_tuning.FineTuning
+    vector_stores: vector_stores.VectorStores
+    beta: beta.Beta
+    batches: batches.Batches
+    uploads: uploads.Uploads
+    responses: responses.Responses
+    with_raw_response: OpenAIWithRawResponse
+    with_streaming_response: OpenAIWithStreamedResponse
+
+    # 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__(
+        self,
+        *,
+        api_key: str | None = None,
+        organization: str | None = None,
+        project: str | 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,
+        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
+
+        self.websocket_base_url = websocket_base_url
+
+        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 = 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.vector_stores = vector_stores.VectorStores(self)
+        self.beta = beta.Beta(self)
+        self.batches = batches.Batches(self)
+        self.uploads = uploads.Uploads(self)
+        self.responses = responses.Responses(self)
+        self.with_raw_response = OpenAIWithRawResponse(self)
+        self.with_streaming_response = OpenAIWithStreamedResponse(self)
+
+    @property
+    @override
+    def qs(self) -> Querystring:
+        return Querystring(array_format="brackets")
+
+    @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,
+        websocket_base_url: str | httpx.URL | 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,
+            websocket_base_url=websocket_base_url or self.websocket_base_url,
+            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: completions.AsyncCompletions
+    chat: chat.AsyncChat
+    embeddings: embeddings.AsyncEmbeddings
+    files: files.AsyncFiles
+    images: images.AsyncImages
+    audio: audio.AsyncAudio
+    moderations: moderations.AsyncModerations
+    models: models.AsyncModels
+    fine_tuning: fine_tuning.AsyncFineTuning
+    vector_stores: vector_stores.AsyncVectorStores
+    beta: beta.AsyncBeta
+    batches: batches.AsyncBatches
+    uploads: uploads.AsyncUploads
+    responses: responses.AsyncResponses
+    with_raw_response: AsyncOpenAIWithRawResponse
+    with_streaming_response: AsyncOpenAIWithStreamedResponse
+
+    # 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__(
+        self,
+        *,
+        api_key: str | None = None,
+        organization: str | None = None,
+        project: str | 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,
+        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 AsyncOpenAI 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
+
+        self.websocket_base_url = websocket_base_url
+
+        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 = 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.vector_stores = vector_stores.AsyncVectorStores(self)
+        self.beta = beta.AsyncBeta(self)
+        self.batches = batches.AsyncBatches(self)
+        self.uploads = uploads.AsyncUploads(self)
+        self.responses = responses.AsyncResponses(self)
+        self.with_raw_response = AsyncOpenAIWithRawResponse(self)
+        self.with_streaming_response = AsyncOpenAIWithStreamedResponse(self)
+
+    @property
+    @override
+    def qs(self) -> Querystring:
+        return Querystring(array_format="brackets")
+
+    @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,
+        websocket_base_url: str | httpx.URL | 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,
+            websocket_base_url=websocket_base_url or self.websocket_base_url,
+            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 = completions.CompletionsWithRawResponse(client.completions)
+        self.chat = chat.ChatWithRawResponse(client.chat)
+        self.embeddings = embeddings.EmbeddingsWithRawResponse(client.embeddings)
+        self.files = files.FilesWithRawResponse(client.files)
+        self.images = images.ImagesWithRawResponse(client.images)
+        self.audio = audio.AudioWithRawResponse(client.audio)
+        self.moderations = moderations.ModerationsWithRawResponse(client.moderations)
+        self.models = models.ModelsWithRawResponse(client.models)
+        self.fine_tuning = fine_tuning.FineTuningWithRawResponse(client.fine_tuning)
+        self.vector_stores = vector_stores.VectorStoresWithRawResponse(client.vector_stores)
+        self.beta = beta.BetaWithRawResponse(client.beta)
+        self.batches = batches.BatchesWithRawResponse(client.batches)
+        self.uploads = uploads.UploadsWithRawResponse(client.uploads)
+        self.responses = responses.ResponsesWithRawResponse(client.responses)
+
+
+class AsyncOpenAIWithRawResponse:
+    def __init__(self, client: AsyncOpenAI) -> None:
+        self.completions = completions.AsyncCompletionsWithRawResponse(client.completions)
+        self.chat = chat.AsyncChatWithRawResponse(client.chat)
+        self.embeddings = embeddings.AsyncEmbeddingsWithRawResponse(client.embeddings)
+        self.files = files.AsyncFilesWithRawResponse(client.files)
+        self.images = images.AsyncImagesWithRawResponse(client.images)
+        self.audio = audio.AsyncAudioWithRawResponse(client.audio)
+        self.moderations = moderations.AsyncModerationsWithRawResponse(client.moderations)
+        self.models = models.AsyncModelsWithRawResponse(client.models)
+        self.fine_tuning = fine_tuning.AsyncFineTuningWithRawResponse(client.fine_tuning)
+        self.vector_stores = vector_stores.AsyncVectorStoresWithRawResponse(client.vector_stores)
+        self.beta = beta.AsyncBetaWithRawResponse(client.beta)
+        self.batches = batches.AsyncBatchesWithRawResponse(client.batches)
+        self.uploads = uploads.AsyncUploadsWithRawResponse(client.uploads)
+        self.responses = responses.AsyncResponsesWithRawResponse(client.responses)
+
+
+class OpenAIWithStreamedResponse:
+    def __init__(self, client: OpenAI) -> None:
+        self.completions = completions.CompletionsWithStreamingResponse(client.completions)
+        self.chat = chat.ChatWithStreamingResponse(client.chat)
+        self.embeddings = embeddings.EmbeddingsWithStreamingResponse(client.embeddings)
+        self.files = files.FilesWithStreamingResponse(client.files)
+        self.images = images.ImagesWithStreamingResponse(client.images)
+        self.audio = audio.AudioWithStreamingResponse(client.audio)
+        self.moderations = moderations.ModerationsWithStreamingResponse(client.moderations)
+        self.models = models.ModelsWithStreamingResponse(client.models)
+        self.fine_tuning = fine_tuning.FineTuningWithStreamingResponse(client.fine_tuning)
+        self.vector_stores = vector_stores.VectorStoresWithStreamingResponse(client.vector_stores)
+        self.beta = beta.BetaWithStreamingResponse(client.beta)
+        self.batches = batches.BatchesWithStreamingResponse(client.batches)
+        self.uploads = uploads.UploadsWithStreamingResponse(client.uploads)
+        self.responses = responses.ResponsesWithStreamingResponse(client.responses)
+
+
+class AsyncOpenAIWithStreamedResponse:
+    def __init__(self, client: AsyncOpenAI) -> None:
+        self.completions = completions.AsyncCompletionsWithStreamingResponse(client.completions)
+        self.chat = chat.AsyncChatWithStreamingResponse(client.chat)
+        self.embeddings = embeddings.AsyncEmbeddingsWithStreamingResponse(client.embeddings)
+        self.files = files.AsyncFilesWithStreamingResponse(client.files)
+        self.images = images.AsyncImagesWithStreamingResponse(client.images)
+        self.audio = audio.AsyncAudioWithStreamingResponse(client.audio)
+        self.moderations = moderations.AsyncModerationsWithStreamingResponse(client.moderations)
+        self.models = models.AsyncModelsWithStreamingResponse(client.models)
+        self.fine_tuning = fine_tuning.AsyncFineTuningWithStreamingResponse(client.fine_tuning)
+        self.vector_stores = vector_stores.AsyncVectorStoresWithStreamingResponse(client.vector_stores)
+        self.beta = beta.AsyncBetaWithStreamingResponse(client.beta)
+        self.batches = batches.AsyncBatchesWithStreamingResponse(client.batches)
+        self.uploads = uploads.AsyncUploadsWithStreamingResponse(client.uploads)
+        self.responses = responses.AsyncResponsesWithStreamingResponse(client.responses)
+
+
+Client = OpenAI
+
+AsyncClient = AsyncOpenAI