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* fix(utils.py): initial commit to remove circular imports - moves llmproviders to utils.py * fix(router.py): fix 'litellm.EmbeddingResponse' import from router.py ' * refactor: fix litellm.ModelResponse import on pass through endpoints * refactor(litellm_logging.py): fix circular import for custom callbacks literal * fix(factory.py): fix circular imports inside prompt factory * fix(cost_calculator.py): fix circular import for 'litellm.Usage' * fix(proxy_server.py): fix potential circular import with `litellm.Router' * fix(proxy/utils.py): fix potential circular import in `litellm.Router` * fix: remove circular imports in 'auth_checks' and 'guardrails/' * fix(prompt_injection_detection.py): fix router impor t * fix(vertex_passthrough_logging_handler.py): fix potential circular imports in vertex pass through * fix(anthropic_pass_through_logging_handler.py): fix potential circular imports * fix(slack_alerting.py-+-ollama_chat.py): fix modelresponse import * fix(base.py): fix potential circular import * fix(handler.py): fix potential circular ref in codestral + cohere handler's * fix(azure.py): fix potential circular imports * fix(gpt_transformation.py): fix modelresponse import * fix(litellm_logging.py): add logging base class - simplify typing makes it easy for other files to type check the logging obj without introducing circular imports * fix(azure_ai/embed): fix potential circular import on handler.py * fix(databricks/): fix potential circular imports in databricks/ * fix(vertex_ai/): fix potential circular imports on vertex ai embeddings * fix(vertex_ai/image_gen): fix import * fix(watsonx-+-bedrock): cleanup imports * refactor(anthropic-pass-through-+-petals): cleanup imports * refactor(huggingface/): cleanup imports * fix(ollama-+-clarifai): cleanup circular imports * fix(openai_like/): fix impor t * fix(openai_like/): fix embedding handler cleanup imports * refactor(openai.py): cleanup imports * fix(sagemaker/transformation.py): fix import * ci(config.yml): add circular import test to ci/cd
26 lines
855 B
Python
26 lines
855 B
Python
import time
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from typing import Any, Optional
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import litellm
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from litellm import CustomLLM, ImageObject, ImageResponse, completion, get_llm_provider
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from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
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from litellm.types.utils import ModelResponse
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class MyCustomLLM(CustomLLM):
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def completion(self, *args, **kwargs) -> ModelResponse:
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return litellm.completion(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "Hello world"}],
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mock_response="Hi!",
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) # type: ignore
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async def acompletion(self, *args, **kwargs) -> litellm.ModelResponse:
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return litellm.completion(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "Hello world"}],
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mock_response="Hi!",
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) # type: ignore
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my_custom_llm = MyCustomLLM()
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