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https://github.com/BerriAI/litellm.git
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aa9f1896c6
* fix(utils.py): support 'drop_params' for embedding requests Fixes https://github.com/BerriAI/litellm/issues/5444 * feat(anthropic/cost_calculation.py): Support calculating cost for prompt caching on anthropic * feat(types/utils.py): allows us to migrate to openai's equivalent, once that comes out * fix: fix linting errors * test: mark flaky test
87 lines
2.5 KiB
Python
87 lines
2.5 KiB
Python
## This is a template base class to be used for adding new LLM providers via API calls
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from typing import Any, Optional, Union
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import httpx
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import requests
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import litellm
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class BaseLLM:
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_client_session: Optional[httpx.Client] = None
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def process_response(
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self,
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model: str,
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response: Union[requests.Response, httpx.Response],
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model_response: litellm.utils.ModelResponse,
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stream: bool,
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logging_obj: Any,
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optional_params: dict,
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api_key: str,
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data: Union[dict, str],
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messages: list,
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print_verbose,
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encoding,
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) -> Union[litellm.utils.ModelResponse, litellm.utils.CustomStreamWrapper]:
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"""
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Helper function to process the response across sync + async completion calls
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"""
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return model_response
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def process_text_completion_response(
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self,
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model: str,
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response: Union[requests.Response, httpx.Response],
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model_response: litellm.utils.TextCompletionResponse,
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stream: bool,
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logging_obj: Any,
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optional_params: dict,
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api_key: str,
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data: Union[dict, str],
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messages: list,
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print_verbose,
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encoding,
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) -> Union[litellm.utils.TextCompletionResponse, litellm.utils.CustomStreamWrapper]:
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"""
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Helper function to process the response across sync + async completion calls
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"""
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return model_response
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def create_client_session(self):
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if litellm.client_session:
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_client_session = litellm.client_session
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else:
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_client_session = httpx.Client()
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return _client_session
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def create_aclient_session(self):
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if litellm.aclient_session:
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_aclient_session = litellm.aclient_session
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else:
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_aclient_session = httpx.AsyncClient()
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return _aclient_session
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def __exit__(self):
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if hasattr(self, "_client_session"):
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self._client_session.close()
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async def __aexit__(self, exc_type, exc_val, exc_tb):
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if hasattr(self, "_aclient_session"):
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await self._aclient_session.aclose()
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def validate_environment(self): # set up the environment required to run the model
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pass
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def completion(
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self, *args, **kwargs
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): # logic for parsing in - calling - parsing out model completion calls
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pass
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def embedding(
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self, *args, **kwargs
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): # logic for parsing in - calling - parsing out model embedding calls
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pass
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