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diff --git a/.venv/lib/python3.12/site-packages/litellm/llms/custom_httpx/aiohttp_handler.py b/.venv/lib/python3.12/site-packages/litellm/llms/custom_httpx/aiohttp_handler.py
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+++ b/.venv/lib/python3.12/site-packages/litellm/llms/custom_httpx/aiohttp_handler.py
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+from typing import TYPE_CHECKING, Any, Callable, Optional, Tuple, Union, cast
+
+import aiohttp
+import httpx  # type: ignore
+from aiohttp import ClientSession, FormData
+
+import litellm
+import litellm.litellm_core_utils
+import litellm.types
+import litellm.types.utils
+from litellm.llms.base_llm.chat.transformation import BaseConfig
+from litellm.llms.base_llm.image_variations.transformation import (
+    BaseImageVariationConfig,
+)
+from litellm.llms.custom_httpx.http_handler import (
+    AsyncHTTPHandler,
+    HTTPHandler,
+    _get_httpx_client,
+)
+from litellm.types.llms.openai import FileTypes
+from litellm.types.utils import HttpHandlerRequestFields, ImageResponse, LlmProviders
+from litellm.utils import CustomStreamWrapper, ModelResponse, ProviderConfigManager
+
+if TYPE_CHECKING:
+    from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
+
+    LiteLLMLoggingObj = _LiteLLMLoggingObj
+else:
+    LiteLLMLoggingObj = Any
+
+DEFAULT_TIMEOUT = 600
+
+
+class BaseLLMAIOHTTPHandler:
+
+    def __init__(self):
+        self.client_session: Optional[aiohttp.ClientSession] = None
+
+    def _get_async_client_session(
+        self, dynamic_client_session: Optional[ClientSession] = None
+    ) -> ClientSession:
+        if dynamic_client_session:
+            return dynamic_client_session
+        elif self.client_session:
+            return self.client_session
+        else:
+            # init client session, and then return new session
+            self.client_session = aiohttp.ClientSession()
+            return self.client_session
+
+    async def _make_common_async_call(
+        self,
+        async_client_session: Optional[ClientSession],
+        provider_config: BaseConfig,
+        api_base: str,
+        headers: dict,
+        data: Optional[dict],
+        timeout: Union[float, httpx.Timeout],
+        litellm_params: dict,
+        form_data: Optional[FormData] = None,
+        stream: bool = False,
+    ) -> aiohttp.ClientResponse:
+        """Common implementation across stream + non-stream calls. Meant to ensure consistent error-handling."""
+        max_retry_on_unprocessable_entity_error = (
+            provider_config.max_retry_on_unprocessable_entity_error
+        )
+
+        response: Optional[aiohttp.ClientResponse] = None
+        async_client_session = self._get_async_client_session(
+            dynamic_client_session=async_client_session
+        )
+
+        for i in range(max(max_retry_on_unprocessable_entity_error, 1)):
+            try:
+                response = await async_client_session.post(
+                    url=api_base,
+                    headers=headers,
+                    json=data,
+                    data=form_data,
+                )
+                if not response.ok:
+                    response.raise_for_status()
+            except aiohttp.ClientResponseError as e:
+                setattr(e, "text", e.message)
+                raise self._handle_error(e=e, provider_config=provider_config)
+            except Exception as e:
+                raise self._handle_error(e=e, provider_config=provider_config)
+            break
+
+        if response is None:
+            raise provider_config.get_error_class(
+                error_message="No response from the API",
+                status_code=422,
+                headers={},
+            )
+
+        return response
+
+    def _make_common_sync_call(
+        self,
+        sync_httpx_client: HTTPHandler,
+        provider_config: BaseConfig,
+        api_base: str,
+        headers: dict,
+        data: dict,
+        timeout: Union[float, httpx.Timeout],
+        litellm_params: dict,
+        stream: bool = False,
+        files: Optional[dict] = None,
+        content: Any = None,
+        params: Optional[dict] = None,
+    ) -> httpx.Response:
+
+        max_retry_on_unprocessable_entity_error = (
+            provider_config.max_retry_on_unprocessable_entity_error
+        )
+
+        response: Optional[httpx.Response] = None
+
+        for i in range(max(max_retry_on_unprocessable_entity_error, 1)):
+            try:
+                response = sync_httpx_client.post(
+                    url=api_base,
+                    headers=headers,
+                    data=data,  # do not json dump the data here. let the individual endpoint handle this.
+                    timeout=timeout,
+                    stream=stream,
+                    files=files,
+                    content=content,
+                    params=params,
+                )
+            except httpx.HTTPStatusError as e:
+                hit_max_retry = i + 1 == max_retry_on_unprocessable_entity_error
+                should_retry = provider_config.should_retry_llm_api_inside_llm_translation_on_http_error(
+                    e=e, litellm_params=litellm_params
+                )
+                if should_retry and not hit_max_retry:
+                    data = (
+                        provider_config.transform_request_on_unprocessable_entity_error(
+                            e=e, request_data=data
+                        )
+                    )
+                    continue
+                else:
+                    raise self._handle_error(e=e, provider_config=provider_config)
+            except Exception as e:
+                raise self._handle_error(e=e, provider_config=provider_config)
+            break
+
+        if response is None:
+            raise provider_config.get_error_class(
+                error_message="No response from the API",
+                status_code=422,  # don't retry on this error
+                headers={},
+            )
+
+        return response
+
+    async def async_completion(
+        self,
+        custom_llm_provider: str,
+        provider_config: BaseConfig,
+        api_base: str,
+        headers: dict,
+        data: dict,
+        timeout: Union[float, httpx.Timeout],
+        model: str,
+        model_response: ModelResponse,
+        logging_obj: LiteLLMLoggingObj,
+        messages: list,
+        optional_params: dict,
+        litellm_params: dict,
+        encoding: Any,
+        api_key: Optional[str] = None,
+        client: Optional[ClientSession] = None,
+    ):
+        _response = await self._make_common_async_call(
+            async_client_session=client,
+            provider_config=provider_config,
+            api_base=api_base,
+            headers=headers,
+            data=data,
+            timeout=timeout,
+            litellm_params=litellm_params,
+            stream=False,
+        )
+        _transformed_response = await provider_config.transform_response(  # type: ignore
+            model=model,
+            raw_response=_response,  # type: ignore
+            model_response=model_response,
+            logging_obj=logging_obj,
+            api_key=api_key,
+            request_data=data,
+            messages=messages,
+            optional_params=optional_params,
+            litellm_params=litellm_params,
+            encoding=encoding,
+        )
+        return _transformed_response
+
+    def completion(
+        self,
+        model: str,
+        messages: list,
+        api_base: str,
+        custom_llm_provider: str,
+        model_response: ModelResponse,
+        encoding,
+        logging_obj: LiteLLMLoggingObj,
+        optional_params: dict,
+        timeout: Union[float, httpx.Timeout],
+        litellm_params: dict,
+        acompletion: bool,
+        stream: Optional[bool] = False,
+        fake_stream: bool = False,
+        api_key: Optional[str] = None,
+        headers: Optional[dict] = {},
+        client: Optional[Union[HTTPHandler, AsyncHTTPHandler, ClientSession]] = None,
+    ):
+        provider_config = ProviderConfigManager.get_provider_chat_config(
+            model=model, provider=litellm.LlmProviders(custom_llm_provider)
+        )
+        # get config from model, custom llm provider
+        headers = provider_config.validate_environment(
+            api_key=api_key,
+            headers=headers or {},
+            model=model,
+            messages=messages,
+            optional_params=optional_params,
+            api_base=api_base,
+        )
+
+        api_base = provider_config.get_complete_url(
+            api_base=api_base,
+            model=model,
+            optional_params=optional_params,
+            litellm_params=litellm_params,
+            stream=stream,
+        )
+
+        data = provider_config.transform_request(
+            model=model,
+            messages=messages,
+            optional_params=optional_params,
+            litellm_params=litellm_params,
+            headers=headers,
+        )
+
+        ## LOGGING
+        logging_obj.pre_call(
+            input=messages,
+            api_key=api_key,
+            additional_args={
+                "complete_input_dict": data,
+                "api_base": api_base,
+                "headers": headers,
+            },
+        )
+
+        if acompletion is True:
+            return self.async_completion(
+                custom_llm_provider=custom_llm_provider,
+                provider_config=provider_config,
+                api_base=api_base,
+                headers=headers,
+                data=data,
+                timeout=timeout,
+                model=model,
+                model_response=model_response,
+                logging_obj=logging_obj,
+                api_key=api_key,
+                messages=messages,
+                optional_params=optional_params,
+                litellm_params=litellm_params,
+                encoding=encoding,
+                client=(
+                    client
+                    if client is not None and isinstance(client, ClientSession)
+                    else None
+                ),
+            )
+
+        if stream is True:
+            if fake_stream is not True:
+                data["stream"] = stream
+            completion_stream, headers = self.make_sync_call(
+                provider_config=provider_config,
+                api_base=api_base,
+                headers=headers,  # type: ignore
+                data=data,
+                model=model,
+                messages=messages,
+                logging_obj=logging_obj,
+                timeout=timeout,
+                fake_stream=fake_stream,
+                client=(
+                    client
+                    if client is not None and isinstance(client, HTTPHandler)
+                    else None
+                ),
+                litellm_params=litellm_params,
+            )
+            return CustomStreamWrapper(
+                completion_stream=completion_stream,
+                model=model,
+                custom_llm_provider=custom_llm_provider,
+                logging_obj=logging_obj,
+            )
+
+        if client is None or not isinstance(client, HTTPHandler):
+            sync_httpx_client = _get_httpx_client()
+        else:
+            sync_httpx_client = client
+
+        response = self._make_common_sync_call(
+            sync_httpx_client=sync_httpx_client,
+            provider_config=provider_config,
+            api_base=api_base,
+            headers=headers,
+            timeout=timeout,
+            litellm_params=litellm_params,
+            data=data,
+        )
+        return provider_config.transform_response(
+            model=model,
+            raw_response=response,
+            model_response=model_response,
+            logging_obj=logging_obj,
+            api_key=api_key,
+            request_data=data,
+            messages=messages,
+            optional_params=optional_params,
+            litellm_params=litellm_params,
+            encoding=encoding,
+        )
+
+    def make_sync_call(
+        self,
+        provider_config: BaseConfig,
+        api_base: str,
+        headers: dict,
+        data: dict,
+        model: str,
+        messages: list,
+        logging_obj,
+        litellm_params: dict,
+        timeout: Union[float, httpx.Timeout],
+        fake_stream: bool = False,
+        client: Optional[HTTPHandler] = None,
+    ) -> Tuple[Any, dict]:
+        if client is None or not isinstance(client, HTTPHandler):
+            sync_httpx_client = _get_httpx_client()
+        else:
+            sync_httpx_client = client
+        stream = True
+        if fake_stream is True:
+            stream = False
+
+        response = self._make_common_sync_call(
+            sync_httpx_client=sync_httpx_client,
+            provider_config=provider_config,
+            api_base=api_base,
+            headers=headers,
+            data=data,
+            timeout=timeout,
+            litellm_params=litellm_params,
+            stream=stream,
+        )
+
+        if fake_stream is True:
+            completion_stream = provider_config.get_model_response_iterator(
+                streaming_response=response.json(), sync_stream=True
+            )
+        else:
+            completion_stream = provider_config.get_model_response_iterator(
+                streaming_response=response.iter_lines(), sync_stream=True
+            )
+
+        # LOGGING
+        logging_obj.post_call(
+            input=messages,
+            api_key="",
+            original_response="first stream response received",
+            additional_args={"complete_input_dict": data},
+        )
+
+        return completion_stream, dict(response.headers)
+
+    async def async_image_variations(
+        self,
+        client: Optional[ClientSession],
+        provider_config: BaseImageVariationConfig,
+        api_base: str,
+        headers: dict,
+        data: HttpHandlerRequestFields,
+        timeout: float,
+        litellm_params: dict,
+        model_response: ImageResponse,
+        logging_obj: LiteLLMLoggingObj,
+        api_key: str,
+        model: Optional[str],
+        image: FileTypes,
+        optional_params: dict,
+    ) -> ImageResponse:
+        # create aiohttp form data if files in data
+        form_data: Optional[FormData] = None
+        if "files" in data and "data" in data:
+            form_data = FormData()
+            for k, v in data["files"].items():
+                form_data.add_field(k, v[1], filename=v[0], content_type=v[2])
+
+            for key, value in data["data"].items():
+                form_data.add_field(key, value)
+
+        _response = await self._make_common_async_call(
+            async_client_session=client,
+            provider_config=provider_config,
+            api_base=api_base,
+            headers=headers,
+            data=None if form_data is not None else cast(dict, data),
+            form_data=form_data,
+            timeout=timeout,
+            litellm_params=litellm_params,
+            stream=False,
+        )
+
+        ## LOGGING
+        logging_obj.post_call(
+            api_key=api_key,
+            original_response=_response.text,
+            additional_args={
+                "headers": headers,
+                "api_base": api_base,
+            },
+        )
+
+        ## RESPONSE OBJECT
+        return await provider_config.async_transform_response_image_variation(
+            model=model,
+            model_response=model_response,
+            raw_response=_response,
+            logging_obj=logging_obj,
+            request_data=cast(dict, data),
+            image=image,
+            optional_params=optional_params,
+            litellm_params=litellm_params,
+            encoding=None,
+            api_key=api_key,
+        )
+
+    def image_variations(
+        self,
+        model_response: ImageResponse,
+        api_key: str,
+        model: Optional[str],
+        image: FileTypes,
+        timeout: float,
+        custom_llm_provider: str,
+        logging_obj: LiteLLMLoggingObj,
+        optional_params: dict,
+        litellm_params: dict,
+        print_verbose: Optional[Callable] = None,
+        api_base: Optional[str] = None,
+        aimage_variation: bool = False,
+        logger_fn=None,
+        client=None,
+        organization: Optional[str] = None,
+        headers: Optional[dict] = None,
+    ) -> ImageResponse:
+        if model is None:
+            raise ValueError("model is required for non-openai image variations")
+
+        provider_config = ProviderConfigManager.get_provider_image_variation_config(
+            model=model,  # openai defaults to dall-e-2
+            provider=LlmProviders(custom_llm_provider),
+        )
+
+        if provider_config is None:
+            raise ValueError(
+                f"image variation provider not found: {custom_llm_provider}."
+            )
+
+        api_base = provider_config.get_complete_url(
+            api_base=api_base,
+            model=model,
+            optional_params=optional_params,
+            litellm_params=litellm_params,
+            stream=False,
+        )
+
+        headers = provider_config.validate_environment(
+            api_key=api_key,
+            headers=headers or {},
+            model=model,
+            messages=[{"role": "user", "content": "test"}],
+            optional_params=optional_params,
+            api_base=api_base,
+        )
+
+        data = provider_config.transform_request_image_variation(
+            model=model,
+            image=image,
+            optional_params=optional_params,
+            headers=headers,
+        )
+
+        ## LOGGING
+        logging_obj.pre_call(
+            input="",
+            api_key=api_key,
+            additional_args={
+                "headers": headers,
+                "api_base": api_base,
+                "complete_input_dict": data.copy(),
+            },
+        )
+
+        if litellm_params.get("async_call", False):
+            return self.async_image_variations(
+                api_base=api_base,
+                data=data,
+                headers=headers,
+                model_response=model_response,
+                api_key=api_key,
+                logging_obj=logging_obj,
+                model=model,
+                timeout=timeout,
+                client=client,
+                optional_params=optional_params,
+                litellm_params=litellm_params,
+                image=image,
+                provider_config=provider_config,
+            )  # type: ignore
+
+        if client is None or not isinstance(client, HTTPHandler):
+            sync_httpx_client = _get_httpx_client()
+        else:
+            sync_httpx_client = client
+
+        response = self._make_common_sync_call(
+            sync_httpx_client=sync_httpx_client,
+            provider_config=provider_config,
+            api_base=api_base,
+            headers=headers,
+            timeout=timeout,
+            litellm_params=litellm_params,
+            stream=False,
+            data=data.get("data") or {},
+            files=data.get("files"),
+            content=data.get("content"),
+            params=data.get("params"),
+        )
+
+        ## LOGGING
+        logging_obj.post_call(
+            api_key=api_key,
+            original_response=response.text,
+            additional_args={
+                "headers": headers,
+                "api_base": api_base,
+            },
+        )
+
+        ## RESPONSE OBJECT
+        return provider_config.transform_response_image_variation(
+            model=model,
+            model_response=model_response,
+            raw_response=response,
+            logging_obj=logging_obj,
+            request_data=cast(dict, data),
+            image=image,
+            optional_params=optional_params,
+            litellm_params=litellm_params,
+            encoding=None,
+            api_key=api_key,
+        )
+
+    def _handle_error(self, e: Exception, provider_config: BaseConfig):
+        status_code = getattr(e, "status_code", 500)
+        error_headers = getattr(e, "headers", None)
+        error_text = getattr(e, "text", str(e))
+        error_response = getattr(e, "response", None)
+        if error_headers is None and error_response:
+            error_headers = getattr(error_response, "headers", None)
+        if error_response and hasattr(error_response, "text"):
+            error_text = getattr(error_response, "text", error_text)
+        if error_headers:
+            error_headers = dict(error_headers)
+        else:
+            error_headers = {}
+        raise provider_config.get_error_class(
+            error_message=error_text,
+            status_code=status_code,
+            headers=error_headers,
+        )