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from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any, List, Optional
import httpx
from litellm.llms.base_llm.chat.transformation import BaseConfig
from litellm.types.llms.openai import (
AllMessageValues,
OpenAIAudioTranscriptionOptionalParams,
)
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 BaseAudioTranscriptionConfig(BaseConfig, ABC):
@abstractmethod
def get_supported_openai_params(
self, model: str
) -> List[OpenAIAudioTranscriptionOptionalParams]:
pass
def get_complete_url(
self,
api_base: Optional[str],
model: str,
optional_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"
)
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