litellm-mirror/litellm/responses/litellm_completion_transformation/handler.py

"""
Handler for transforming responses api requests to litellm.completion requests
"""

from typing import Any, Coroutine, Optional, Union

import litellm
from litellm.responses.litellm_completion_transformation.streaming_iterator import (
    LiteLLMCompletionStreamingIterator,
)
from litellm.responses.litellm_completion_transformation.transformation import (
    LiteLLMCompletionResponsesConfig,
)
from litellm.responses.streaming_iterator import BaseResponsesAPIStreamingIterator
from litellm.types.llms.openai import (
    ResponseInputParam,
    ResponsesAPIOptionalRequestParams,
    ResponsesAPIResponse,
)
from litellm.types.utils import ModelResponse


class LiteLLMCompletionTransformationHandler:

    def response_api_handler(
        self,
        model: str,
        input: Union[str, ResponseInputParam],
        responses_api_request: ResponsesAPIOptionalRequestParams,
        custom_llm_provider: Optional[str] = None,
        _is_async: bool = False,
        stream: Optional[bool] = None,
        **kwargs,
    ) -> Union[
        ResponsesAPIResponse,
        BaseResponsesAPIStreamingIterator,
        Coroutine[
            Any, Any, Union[ResponsesAPIResponse, BaseResponsesAPIStreamingIterator]
        ],
    ]:
        litellm_completion_request: dict = (
            LiteLLMCompletionResponsesConfig.transform_responses_api_request_to_chat_completion_request(
                model=model,
                input=input,
                responses_api_request=responses_api_request,
                custom_llm_provider=custom_llm_provider,
                stream=stream,
                **kwargs,
            )
        )

        if _is_async:
            return self.async_response_api_handler(
                litellm_completion_request=litellm_completion_request,
                request_input=input,
                responses_api_request=responses_api_request,
                **kwargs,
            )

        litellm_completion_response: Union[
            ModelResponse, litellm.CustomStreamWrapper
        ] = litellm.completion(
            **litellm_completion_request,
            **kwargs,
        )

        if isinstance(litellm_completion_response, ModelResponse):
            responses_api_response: ResponsesAPIResponse = (
                LiteLLMCompletionResponsesConfig.transform_chat_completion_response_to_responses_api_response(
                    chat_completion_response=litellm_completion_response,
                    request_input=input,
                    responses_api_request=responses_api_request,
                )
            )

            return responses_api_response

        raise ValueError("litellm_completion_response is not a ModelResponse")

    async def async_response_api_handler(
        self,
        litellm_completion_request: dict,
        request_input: Union[str, ResponseInputParam],
        responses_api_request: ResponsesAPIOptionalRequestParams,
        **kwargs,
    ) -> Union[ResponsesAPIResponse, BaseResponsesAPIStreamingIterator]:
        litellm_completion_response: Union[
            ModelResponse, litellm.CustomStreamWrapper
        ] = await litellm.acompletion(
            **litellm_completion_request,
            **kwargs,
        )

        if isinstance(litellm_completion_response, ModelResponse):
            responses_api_response: ResponsesAPIResponse = (
                LiteLLMCompletionResponsesConfig.transform_chat_completion_response_to_responses_api_response(
                    chat_completion_response=litellm_completion_response,
                    request_input=request_input,
                    responses_api_request=responses_api_request,
                )
            )

            return responses_api_response

        elif isinstance(litellm_completion_response, litellm.CustomStreamWrapper):
            return LiteLLMCompletionStreamingIterator(
                litellm_custom_stream_wrapper=litellm_completion_response,
                request_input=request_input,
                responses_api_request=responses_api_request,
            )