structure saas with tools
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from abc import ABC, abstractmethod
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from typing import TYPE_CHECKING, Any, List, Optional, Union
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import httpx
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from litellm.llms.base_llm.chat.transformation import BaseConfig
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from litellm.types.llms.openai import AllMessageValues, OpenAITextCompletionUserMessage
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from litellm.types.utils import ModelResponse
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if TYPE_CHECKING:
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from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
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LiteLLMLoggingObj = _LiteLLMLoggingObj
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else:
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LiteLLMLoggingObj = Any
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class BaseTextCompletionConfig(BaseConfig, ABC):
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@abstractmethod
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def transform_text_completion_request(
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self,
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model: str,
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messages: Union[List[AllMessageValues], List[OpenAITextCompletionUserMessage]],
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optional_params: dict,
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headers: dict,
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) -> dict:
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return {}
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def get_complete_url(
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self,
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api_base: Optional[str],
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api_key: Optional[str],
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model: str,
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optional_params: dict,
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litellm_params: dict,
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stream: Optional[bool] = None,
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) -> str:
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"""
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OPTIONAL
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Get the complete url for the request
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Some providers need `model` in `api_base`
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"""
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return api_base or ""
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def transform_request(
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self,
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model: str,
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messages: List[AllMessageValues],
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optional_params: dict,
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litellm_params: dict,
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headers: dict,
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) -> dict:
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raise NotImplementedError(
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"AudioTranscriptionConfig does not need a request transformation for audio transcription models"
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)
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def transform_response(
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self,
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model: str,
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raw_response: httpx.Response,
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model_response: ModelResponse,
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logging_obj: LiteLLMLoggingObj,
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request_data: dict,
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messages: List[AllMessageValues],
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optional_params: dict,
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litellm_params: dict,
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encoding: Any,
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api_key: Optional[str] = None,
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json_mode: Optional[bool] = None,
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) -> ModelResponse:
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raise NotImplementedError(
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"AudioTranscriptionConfig does not need a response transformation for audio transcription models"
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)
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