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## This is a template base class to be used for adding new LLM providers via API calls | |
import litellm | |
import httpx | |
from typing import Optional | |
class BaseLLM: | |
_client_session: Optional[httpx.Client] = None | |
def create_client_session(self): | |
if litellm.client_session: | |
_client_session = litellm.client_session | |
else: | |
_client_session = httpx.Client() | |
return _client_session | |
def create_aclient_session(self): | |
if litellm.aclient_session: | |
_aclient_session = litellm.aclient_session | |
else: | |
_aclient_session = httpx.AsyncClient() | |
return _aclient_session | |
def __exit__(self): | |
if hasattr(self, "_client_session"): | |
self._client_session.close() | |
async def __aexit__(self, exc_type, exc_val, exc_tb): | |
if hasattr(self, "_aclient_session"): | |
await self._aclient_session.aclose() | |
def validate_environment(self): # set up the environment required to run the model | |
pass | |
def completion( | |
self, *args, **kwargs | |
): # logic for parsing in - calling - parsing out model completion calls | |
pass | |
def embedding( | |
self, *args, **kwargs | |
): # logic for parsing in - calling - parsing out model embedding calls | |
pass | |