litellm-mirror/litellm/llms/base.py
Krish Dholakia 9b7ebb6a7d
build(pyproject.toml): add new dev dependencies - for type checking (#9631)
* build(pyproject.toml): add new dev dependencies - for type checking

* build: reformat files to fit black

* ci: reformat to fit black

* ci(test-litellm.yml): make tests run clear

* build(pyproject.toml): add ruff

* fix: fix ruff checks

* build(mypy/): fix mypy linting errors

* fix(hashicorp_secret_manager.py): fix passing cert for tls auth

* build(mypy/): resolve all mypy errors

* test: update test

* fix: fix black formatting

* build(pre-commit-config.yaml): use poetry run black

* fix(proxy_server.py): fix linting error

* fix: fix ruff safe representation error
2025-03-29 11:02:13 -07:00

89 lines
2.6 KiB
Python

## This is a template base class to be used for adding new LLM providers via API calls
from typing import Any, Optional, Union
import httpx
import litellm
from litellm.litellm_core_utils.streaming_handler import CustomStreamWrapper
from litellm.types.utils import ModelResponse, TextCompletionResponse
class BaseLLM:
_client_session: Optional[httpx.Client] = None
def process_response(
self,
model: str,
response: httpx.Response,
model_response: ModelResponse,
stream: bool,
logging_obj: Any,
optional_params: dict,
api_key: str,
data: Union[dict, str],
messages: list,
print_verbose,
encoding,
) -> Union[ModelResponse, CustomStreamWrapper]:
"""
Helper function to process the response across sync + async completion calls
"""
return model_response
def process_text_completion_response(
self,
model: str,
response: httpx.Response,
model_response: TextCompletionResponse,
stream: bool,
logging_obj: Any,
optional_params: dict,
api_key: str,
data: Union[dict, str],
messages: list,
print_verbose,
encoding,
) -> Union[TextCompletionResponse, CustomStreamWrapper]:
"""
Helper function to process the response across sync + async completion calls
"""
return model_response
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") and self._client_session is not None:
self._client_session.close()
async def __aexit__(self, exc_type, exc_val, exc_tb):
if hasattr(self, "_aclient_session"):
await self._aclient_session.aclose() # type: ignore
def validate_environment(
self, *args, **kwargs
) -> Optional[Any]: # set up the environment required to run the model
return None
def completion(
self, *args, **kwargs
) -> Any: # logic for parsing in - calling - parsing out model completion calls
return None
def embedding(
self, *args, **kwargs
) -> Any: # logic for parsing in - calling - parsing out model embedding calls
return None