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import time | |
from typing import Any, Optional | |
import litellm | |
from litellm import CustomLLM, ImageObject, ImageResponse, completion, get_llm_provider | |
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler | |
from litellm.types.utils import ModelResponse | |
class MyCustomLLM(CustomLLM): | |
def completion(self, *args, **kwargs) -> ModelResponse: | |
return litellm.completion( | |
model="gpt-3.5-turbo", | |
messages=[{"role": "user", "content": "Hello world"}], | |
mock_response="Hi!", | |
) # type: ignore | |
async def acompletion(self, *args, **kwargs) -> litellm.ModelResponse: | |
return litellm.completion( | |
model="gpt-3.5-turbo", | |
messages=[{"role": "user", "content": "Hello world"}], | |
mock_response="Hi!", | |
) # type: ignore | |
my_custom_llm = MyCustomLLM() | |