mirror of
https://github.com/BerriAI/litellm.git
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053b0e741f
* test: fix import for test
* fix: fix bad error string
* docs: cleanup files docs
* fix(files/main.py): cleanup error string
* style: initial commit with a provider/config pattern for files api
google ai studio files api onboarding
* fix: test
* feat(gemini/files/transformation.py): support gemini files api response transformation
* fix(gemini/files/transformation.py): return file id as gemini uri
allows id to be passed in to chat completion request, just like openai
* feat(llm_http_handler.py): support async route for files api on llm_http_handler
* fix: fix linting errors
* fix: fix model info check
* fix: fix ruff errors
* fix: fix linting errors
* Revert "fix: fix linting errors"
This reverts commit 926a5a527f.
* fix: fix linting errors
* test: fix test
* test: fix tests
102 lines
2.6 KiB
Python
102 lines
2.6 KiB
Python
from abc import abstractmethod
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from typing import TYPE_CHECKING, Any, List, Optional
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import httpx
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from litellm.types.llms.openai import (
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AllMessageValues,
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CreateFileRequest,
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OpenAICreateFileRequestOptionalParams,
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OpenAIFileObject,
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)
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from litellm.types.utils import LlmProviders, ModelResponse
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from ..chat.transformation import BaseConfig
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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 BaseFilesConfig(BaseConfig):
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@property
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@abstractmethod
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def custom_llm_provider(self) -> LlmProviders:
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pass
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@abstractmethod
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def get_supported_openai_params(
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self, model: str
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) -> List[OpenAICreateFileRequestOptionalParams]:
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pass
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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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@abstractmethod
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def transform_create_file_request(
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self,
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model: str,
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create_file_data: CreateFileRequest,
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optional_params: dict,
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litellm_params: dict,
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) -> dict:
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pass
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@abstractmethod
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def transform_create_file_response(
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self,
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model: Optional[str],
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raw_response: httpx.Response,
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logging_obj: LiteLLMLoggingObj,
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litellm_params: dict,
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) -> OpenAIFileObject:
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pass
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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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