two version of R2R are here HEAD master

1 files changed, 128 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/litellm/llms/base_llm/rerank/transformation.py b/.venv/lib/python3.12/site-packages/litellm/llms/base_llm/rerank/transformation.py
new file mode 100644
index 00000000..8701fe57
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/litellm/llms/base_llm/rerank/transformation.py
@@ -0,0 +1,128 @@
+from abc import ABC, abstractmethod
+from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union
+
+import httpx
+
+from litellm.types.rerank import OptionalRerankParams, RerankBilledUnits, RerankResponse
+from litellm.types.utils import ModelInfo
+
+from ..chat.transformation import BaseLLMException
+
+if TYPE_CHECKING:
+    from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
+
+    LiteLLMLoggingObj = _LiteLLMLoggingObj
+else:
+    LiteLLMLoggingObj = Any
+
+
+class BaseRerankConfig(ABC):
+    @abstractmethod
+    def validate_environment(
+        self,
+        headers: dict,
+        model: str,
+        api_key: Optional[str] = None,
+    ) -> dict:
+        pass
+
+    @abstractmethod
+    def transform_rerank_request(
+        self,
+        model: str,
+        optional_rerank_params: OptionalRerankParams,
+        headers: dict,
+    ) -> dict:
+        return {}
+
+    @abstractmethod
+    def transform_rerank_response(
+        self,
+        model: str,
+        raw_response: httpx.Response,
+        model_response: RerankResponse,
+        logging_obj: LiteLLMLoggingObj,
+        api_key: Optional[str] = None,
+        request_data: dict = {},
+        optional_params: dict = {},
+        litellm_params: dict = {},
+    ) -> RerankResponse:
+        return model_response
+
+    @abstractmethod
+    def get_complete_url(self, api_base: Optional[str], model: str) -> str:
+        """
+        OPTIONAL
+
+        Get the complete url for the request
+
+        Some providers need `model` in `api_base`
+        """
+        return api_base or ""
+
+    @abstractmethod
+    def get_supported_cohere_rerank_params(self, model: str) -> list:
+        pass
+
+    @abstractmethod
+    def map_cohere_rerank_params(
+        self,
+        non_default_params: dict,
+        model: str,
+        drop_params: bool,
+        query: str,
+        documents: List[Union[str, Dict[str, Any]]],
+        custom_llm_provider: Optional[str] = None,
+        top_n: Optional[int] = None,
+        rank_fields: Optional[List[str]] = None,
+        return_documents: Optional[bool] = True,
+        max_chunks_per_doc: Optional[int] = None,
+        max_tokens_per_doc: Optional[int] = None,
+    ) -> OptionalRerankParams:
+        pass
+
+    def get_error_class(
+        self, error_message: str, status_code: int, headers: Union[dict, httpx.Headers]
+    ) -> BaseLLMException:
+        raise BaseLLMException(
+            status_code=status_code,
+            message=error_message,
+            headers=headers,
+        )
+
+    def calculate_rerank_cost(
+        self,
+        model: str,
+        custom_llm_provider: Optional[str] = None,
+        billed_units: Optional[RerankBilledUnits] = None,
+        model_info: Optional[ModelInfo] = None,
+    ) -> Tuple[float, float]:
+        """
+        Calculates the cost per query for a given rerank model.
+
+        Input:
+            - model: str, the model name without provider prefix
+            - custom_llm_provider: str, the provider used for the model. If provided, used to check if the litellm model info is for that provider.
+            - num_queries: int, the number of queries to calculate the cost for
+            - model_info: ModelInfo, the model info for the given model
+
+        Returns:
+            Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd
+        """
+
+        if (
+            model_info is None
+            or "input_cost_per_query" not in model_info
+            or model_info["input_cost_per_query"] is None
+            or billed_units is None
+        ):
+            return 0.0, 0.0
+
+        search_units = billed_units.get("search_units")
+
+        if search_units is None:
+            return 0.0, 0.0
+
+        prompt_cost = model_info["input_cost_per_query"] * search_units
+
+        return prompt_cost, 0.0