chore: initial snapshot for gitea/github upload

llm-gateway-competitors/litellm-wheel-src/litellm/llms/base_llm/anthropic_messages/transformation.py

@@ -0,0 +1,122 @@
+from abc import ABC, abstractmethod
+from typing import TYPE_CHECKING, Any, AsyncIterator, Dict, List, Optional, Tuple, Union
+
+import httpx
+
+from litellm.types.llms.anthropic_messages.anthropic_response import (
+    AnthropicMessagesResponse,
+)
+from litellm.types.router import GenericLiteLLMParams
+
+if TYPE_CHECKING:
+    from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
+    from litellm.llms.base_llm.chat.transformation import BaseLLMException
+
+    LiteLLMLoggingObj = _LiteLLMLoggingObj
+else:
+    LiteLLMLoggingObj = Any
+
+
+class BaseAnthropicMessagesConfig(ABC):
+    @abstractmethod
+    def validate_anthropic_messages_environment(  # use different name because return type is different from base config's validate_environment
+        self,
+        headers: dict,
+        model: str,
+        messages: List[Any],
+        optional_params: dict,
+        litellm_params: dict,
+        api_key: Optional[str] = None,
+        api_base: Optional[str] = None,
+    ) -> Tuple[dict, Optional[str]]:
+        """
+        OPTIONAL
+
+        Validate the environment for the request
+
+        Returns:
+        - headers: dict
+        - api_base: Optional[str] - If the provider needs to update the api_base, return it here. Otherwise, return None.
+        """
+        return headers, api_base
+
+    @abstractmethod
+    def get_complete_url(
+        self,
+        api_base: Optional[str],
+        api_key: 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 ""
+
+    @abstractmethod
+    def get_supported_anthropic_messages_params(self, model: str) -> list:
+        pass
+
+    @abstractmethod
+    def transform_anthropic_messages_request(
+        self,
+        model: str,
+        messages: List[Dict],
+        anthropic_messages_optional_request_params: Dict,
+        litellm_params: GenericLiteLLMParams,
+        headers: dict,
+    ) -> Dict:
+        pass
+
+    @abstractmethod
+    def transform_anthropic_messages_response(
+        self,
+        model: str,
+        raw_response: httpx.Response,
+        logging_obj: LiteLLMLoggingObj,
+    ) -> AnthropicMessagesResponse:
+        pass
+
+    def sign_request(
+        self,
+        headers: dict,
+        optional_params: dict,
+        request_data: dict,
+        api_base: str,
+        api_key: Optional[str] = None,
+        model: Optional[str] = None,
+        stream: Optional[bool] = None,
+        fake_stream: Optional[bool] = None,
+    ) -> Tuple[dict, Optional[bytes]]:
+        """
+        OPTIONAL
+
+        Sign the request, providers like Bedrock need to sign the request before sending it to the API
+
+        For all other providers, this is a no-op and we just return the headers
+        """
+        return headers, None
+
+    def get_async_streaming_response_iterator(
+        self,
+        model: str,
+        httpx_response: httpx.Response,
+        request_body: dict,
+        litellm_logging_obj: LiteLLMLoggingObj,
+    ) -> AsyncIterator:
+        raise NotImplementedError("Subclasses must implement this method")
+
+    def get_error_class(
+        self, error_message: str, status_code: int, headers: Union[dict, httpx.Headers]
+    ) -> "BaseLLMException":
+        from litellm.llms.base_llm.chat.transformation import BaseLLMException
+
+        return BaseLLMException(
+            message=error_message, status_code=status_code, headers=headers
+        )