two version of R2R are hereHEADmaster

1 files changed, 80 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/litellm/llms/aiohttp_openai/chat/transformation.py b/.venv/lib/python3.12/site-packages/litellm/llms/aiohttp_openai/chat/transformation.py
new file mode 100644
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+++ b/.venv/lib/python3.12/site-packages/litellm/llms/aiohttp_openai/chat/transformation.py
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+"""
+*New config* for using aiohttp to make the request to the custom OpenAI-like provider
+
+This leads to 10x higher RPS than httpx
+https://github.com/BerriAI/litellm/issues/6592
+
+New config to ensure we introduce this without causing breaking changes for users
+"""
+
+from typing import TYPE_CHECKING, Any, List, Optional
+
+from aiohttp import ClientResponse
+
+from litellm.llms.openai_like.chat.transformation import OpenAILikeChatConfig
+from litellm.types.llms.openai import AllMessageValues
+from litellm.types.utils import Choices, ModelResponse
+
+if TYPE_CHECKING:
+    from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
+
+    LiteLLMLoggingObj = _LiteLLMLoggingObj
+else:
+    LiteLLMLoggingObj = Any
+
+
+class AiohttpOpenAIChatConfig(OpenAILikeChatConfig):
+    def get_complete_url(
+        self,
+        api_base: Optional[str],
+        model: str,
+        optional_params: dict,
+        litellm_params: dict,
+        stream: Optional[bool] = None,
+    ) -> str:
+        """
+        Ensure - /v1/chat/completions is at the end of the url
+
+        """
+        if api_base is None:
+            api_base = "https://api.openai.com"
+
+        if not api_base.endswith("/chat/completions"):
+            api_base += "/chat/completions"
+        return api_base
+
+    def validate_environment(
+        self,
+        headers: dict,
+        model: str,
+        messages: List[AllMessageValues],
+        optional_params: dict,
+        api_key: Optional[str] = None,
+        api_base: Optional[str] = None,
+    ) -> dict:
+        return {"Authorization": f"Bearer {api_key}"}
+
+    async def transform_response(  # type: ignore
+        self,
+        model: str,
+        raw_response: ClientResponse,
+        model_response: ModelResponse,
+        logging_obj: LiteLLMLoggingObj,
+        request_data: dict,
+        messages: List[AllMessageValues],
+        optional_params: dict,
+        litellm_params: dict,
+        encoding: Any,
+        api_key: Optional[str] = None,
+        json_mode: Optional[bool] = None,
+    ) -> ModelResponse:
+        _json_response = await raw_response.json()
+        model_response.id = _json_response.get("id")
+        model_response.choices = [
+            Choices(**choice) for choice in _json_response.get("choices")
+        ]
+        model_response.created = _json_response.get("created")
+        model_response.model = _json_response.get("model")
+        model_response.object = _json_response.get("object")
+        model_response.system_fingerprint = _json_response.get("system_fingerprint")
+        return model_response