# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.

from __future__ import annotations

import os as _os
from typing_extensions import override

from . import types
from ._types import NOT_GIVEN, Omit, NoneType, NotGiven, Transport, ProxiesTypes
from ._utils import file_from_path
from ._client import Client, OpenAI, Stream, Timeout, Transport, AsyncClient, AsyncOpenAI, AsyncStream, RequestOptions
from ._models import BaseModel
from ._version import __title__, __version__
from ._response import APIResponse as APIResponse, AsyncAPIResponse as AsyncAPIResponse
from ._constants import DEFAULT_TIMEOUT, DEFAULT_MAX_RETRIES, DEFAULT_CONNECTION_LIMITS
from ._exceptions import (
    APIError,
    OpenAIError,
    ConflictError,
    NotFoundError,
    APIStatusError,
    RateLimitError,
    APITimeoutError,
    BadRequestError,
    APIConnectionError,
    AuthenticationError,
    InternalServerError,
    PermissionDeniedError,
    LengthFinishReasonError,
    UnprocessableEntityError,
    APIResponseValidationError,
    ContentFilterFinishReasonError,
)
from ._base_client import DefaultHttpxClient, DefaultAsyncHttpxClient
from ._utils._logs import setup_logging as _setup_logging
from ._legacy_response import HttpxBinaryResponseContent as HttpxBinaryResponseContent

__all__ = [
    "types",
    "__version__",
    "__title__",
    "NoneType",
    "Transport",
    "ProxiesTypes",
    "NotGiven",
    "NOT_GIVEN",
    "Omit",
    "OpenAIError",
    "APIError",
    "APIStatusError",
    "APITimeoutError",
    "APIConnectionError",
    "APIResponseValidationError",
    "BadRequestError",
    "AuthenticationError",
    "PermissionDeniedError",
    "NotFoundError",
    "ConflictError",
    "UnprocessableEntityError",
    "RateLimitError",
    "InternalServerError",
    "LengthFinishReasonError",
    "ContentFilterFinishReasonError",
    "Timeout",
    "RequestOptions",
    "Client",
    "AsyncClient",
    "Stream",
    "AsyncStream",
    "OpenAI",
    "AsyncOpenAI",
    "file_from_path",
    "BaseModel",
    "DEFAULT_TIMEOUT",
    "DEFAULT_MAX_RETRIES",
    "DEFAULT_CONNECTION_LIMITS",
    "DefaultHttpxClient",
    "DefaultAsyncHttpxClient",
]

from .lib import azure as _azure, pydantic_function_tool as pydantic_function_tool
from .version import VERSION as VERSION
from .lib.azure import AzureOpenAI as AzureOpenAI, AsyncAzureOpenAI as AsyncAzureOpenAI
from .lib._old_api import *
from .lib.streaming import (
    AssistantEventHandler as AssistantEventHandler,
    AsyncAssistantEventHandler as AsyncAssistantEventHandler,
)

_setup_logging()

# Update the __module__ attribute for exported symbols so that
# error messages point to this module instead of the module
# it was originally defined in, e.g.
# openai._exceptions.NotFoundError -> openai.NotFoundError
__locals = locals()
for __name in __all__:
    if not __name.startswith("__"):
        try:
            __locals[__name].__module__ = "openai"
        except (TypeError, AttributeError):
            # Some of our exported symbols are builtins which we can't set attributes for.
            pass

# ------ Module level client ------
import typing as _t
import typing_extensions as _te

import httpx as _httpx

from ._base_client import DEFAULT_TIMEOUT, DEFAULT_MAX_RETRIES

api_key: str | None = None

organization: str | None = None

project: str | None = None

base_url: str | _httpx.URL | None = None

timeout: float | Timeout | None = DEFAULT_TIMEOUT

max_retries: int = DEFAULT_MAX_RETRIES

default_headers: _t.Mapping[str, str] | None = None

default_query: _t.Mapping[str, object] | None = None

http_client: _httpx.Client | None = None

_ApiType = _te.Literal["openai", "azure"]

api_type: _ApiType | None = _t.cast(_ApiType, _os.environ.get("OPENAI_API_TYPE"))

api_version: str | None = _os.environ.get("OPENAI_API_VERSION")

azure_endpoint: str | None = _os.environ.get("AZURE_OPENAI_ENDPOINT")

azure_ad_token: str | None = _os.environ.get("AZURE_OPENAI_AD_TOKEN")

azure_ad_token_provider: _azure.AzureADTokenProvider | None = None


class _ModuleClient(OpenAI):
    # Note: we have to use type: ignores here as overriding class members
    # with properties is technically unsafe but it is fine for our use case

    @property  # type: ignore
    @override
    def api_key(self) -> str | None:
        return api_key

    @api_key.setter  # type: ignore
    def api_key(self, value: str | None) -> None:  # type: ignore
        global api_key

        api_key = value

    @property  # type: ignore
    @override
    def organization(self) -> str | None:
        return organization

    @organization.setter  # type: ignore
    def organization(self, value: str | None) -> None:  # type: ignore
        global organization

        organization = value

    @property  # type: ignore
    @override
    def project(self) -> str | None:
        return project

    @project.setter  # type: ignore
    def project(self, value: str | None) -> None:  # type: ignore
        global project

        project = value

    @property
    @override
    def base_url(self) -> _httpx.URL:
        if base_url is not None:
            return _httpx.URL(base_url)

        return super().base_url

    @base_url.setter
    def base_url(self, url: _httpx.URL | str) -> None:
        super().base_url = url  # type: ignore[misc]

    @property  # type: ignore
    @override
    def timeout(self) -> float | Timeout | None:
        return timeout

    @timeout.setter  # type: ignore
    def timeout(self, value: float | Timeout | None) -> None:  # type: ignore
        global timeout

        timeout = value

    @property  # type: ignore
    @override
    def max_retries(self) -> int:
        return max_retries

    @max_retries.setter  # type: ignore
    def max_retries(self, value: int) -> None:  # type: ignore
        global max_retries

        max_retries = value

    @property  # type: ignore
    @override
    def _custom_headers(self) -> _t.Mapping[str, str] | None:
        return default_headers

    @_custom_headers.setter  # type: ignore
    def _custom_headers(self, value: _t.Mapping[str, str] | None) -> None:  # type: ignore
        global default_headers

        default_headers = value

    @property  # type: ignore
    @override
    def _custom_query(self) -> _t.Mapping[str, object] | None:
        return default_query

    @_custom_query.setter  # type: ignore
    def _custom_query(self, value: _t.Mapping[str, object] | None) -> None:  # type: ignore
        global default_query

        default_query = value

    @property  # type: ignore
    @override
    def _client(self) -> _httpx.Client:
        return http_client or super()._client

    @_client.setter  # type: ignore
    def _client(self, value: _httpx.Client) -> None:  # type: ignore
        global http_client

        http_client = value


class _AzureModuleClient(_ModuleClient, AzureOpenAI):  # type: ignore
    ...


class _AmbiguousModuleClientUsageError(OpenAIError):
    def __init__(self) -> None:
        super().__init__(
            "Ambiguous use of module client; please set `openai.api_type` or the `OPENAI_API_TYPE` environment variable to `openai` or `azure`"
        )


def _has_openai_credentials() -> bool:
    return _os.environ.get("OPENAI_API_KEY") is not None


def _has_azure_credentials() -> bool:
    return azure_endpoint is not None or _os.environ.get("AZURE_OPENAI_API_KEY") is not None


def _has_azure_ad_credentials() -> bool:
    return (
        _os.environ.get("AZURE_OPENAI_AD_TOKEN") is not None
        or azure_ad_token is not None
        or azure_ad_token_provider is not None
    )


_client: OpenAI | None = None


def _load_client() -> OpenAI:  # type: ignore[reportUnusedFunction]
    global _client

    if _client is None:
        global api_type, azure_endpoint, azure_ad_token, api_version

        if azure_endpoint is None:
            azure_endpoint = _os.environ.get("AZURE_OPENAI_ENDPOINT")

        if azure_ad_token is None:
            azure_ad_token = _os.environ.get("AZURE_OPENAI_AD_TOKEN")

        if api_version is None:
            api_version = _os.environ.get("OPENAI_API_VERSION")

        if api_type is None:
            has_openai = _has_openai_credentials()
            has_azure = _has_azure_credentials()
            has_azure_ad = _has_azure_ad_credentials()

            if has_openai and (has_azure or has_azure_ad):
                raise _AmbiguousModuleClientUsageError()

            if (azure_ad_token is not None or azure_ad_token_provider is not None) and _os.environ.get(
                "AZURE_OPENAI_API_KEY"
            ) is not None:
                raise _AmbiguousModuleClientUsageError()

            if has_azure or has_azure_ad:
                api_type = "azure"
            else:
                api_type = "openai"

        if api_type == "azure":
            _client = _AzureModuleClient(  # type: ignore
                api_version=api_version,
                azure_endpoint=azure_endpoint,
                api_key=api_key,
                azure_ad_token=azure_ad_token,
                azure_ad_token_provider=azure_ad_token_provider,
                organization=organization,
                base_url=base_url,
                timeout=timeout,
                max_retries=max_retries,
                default_headers=default_headers,
                default_query=default_query,
                http_client=http_client,
            )
            return _client

        _client = _ModuleClient(
            api_key=api_key,
            organization=organization,
            project=project,
            base_url=base_url,
            timeout=timeout,
            max_retries=max_retries,
            default_headers=default_headers,
            default_query=default_query,
            http_client=http_client,
        )
        return _client

    return _client


def _reset_client() -> None:  # type: ignore[reportUnusedFunction]
    global _client

    _client = None


from ._module_client import (
    beta as beta,
    chat as chat,
    audio as audio,
    files as files,
    images as images,
    models as models,
    batches as batches,
    uploads as uploads,
    responses as responses,
    embeddings as embeddings,
    completions as completions,
    fine_tuning as fine_tuning,
    moderations as moderations,
    vector_stores as vector_stores,
)