two version of R2R are here HEAD master

1 files changed, 74 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/litellm/llms/base_llm/completion/transformation.py b/.venv/lib/python3.12/site-packages/litellm/llms/base_llm/completion/transformation.py
new file mode 100644
index 00000000..9432f02d
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/litellm/llms/base_llm/completion/transformation.py
@@ -0,0 +1,74 @@
+from abc import ABC, abstractmethod
+from typing import TYPE_CHECKING, Any, List, Optional, Union
+
+import httpx
+
+from litellm.llms.base_llm.chat.transformation import BaseConfig
+from litellm.types.llms.openai import AllMessageValues, OpenAITextCompletionUserMessage
+from litellm.types.utils import ModelResponse
+
+if TYPE_CHECKING:
+    from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
+
+    LiteLLMLoggingObj = _LiteLLMLoggingObj
+else:
+    LiteLLMLoggingObj = Any
+
+
+class BaseTextCompletionConfig(BaseConfig, ABC):
+    @abstractmethod
+    def transform_text_completion_request(
+        self,
+        model: str,
+        messages: Union[List[AllMessageValues], List[OpenAITextCompletionUserMessage]],
+        optional_params: dict,
+        headers: dict,
+    ) -> dict:
+        return {}
+
+    def get_complete_url(
+        self,
+        api_base: Optional[str],
+        model: str,
+        optional_params: dict,
+        litellm_params: dict,
+        stream: Optional[bool] = None,
+    ) -> str:
+        """
+        OPTIONAL
+
+        Get the complete url for the request
+
+        Some providers need `model` in `api_base`
+        """
+        return api_base or ""
+
+    def transform_request(
+        self,
+        model: str,
+        messages: List[AllMessageValues],
+        optional_params: dict,
+        litellm_params: dict,
+        headers: dict,
+    ) -> dict:
+        raise NotImplementedError(
+            "AudioTranscriptionConfig does not need a request transformation for audio transcription models"
+        )
+
+    def transform_response(
+        self,
+        model: str,
+        raw_response: httpx.Response,
+        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:
+        raise NotImplementedError(
+            "AudioTranscriptionConfig does not need a response transformation for audio transcription models"
+        )