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https://github.com/BerriAI/litellm.git
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d861aa8ff3
* use aiohttp handler * BaseLLMAIOHTTPHandler * use CustomOpenAIChatConfig * CustomOpenAIChatConfig * CustomOpenAIChatConfig * fix linting * AiohttpOpenAIChatConfig * fix order * aiohttp_openai
52 lines
1.5 KiB
Python
52 lines
1.5 KiB
Python
"""
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*New config* for using aiohttp to make the request to the custom OpenAI-like provider
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This leads to 10x higher RPS than httpx
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https://github.com/BerriAI/litellm/issues/6592
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New config to ensure we introduce this without causing breaking changes for users
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"""
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from typing import TYPE_CHECKING, Any, List, Optional
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import httpx
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from litellm.llms.openai_like.chat.transformation import OpenAILikeChatConfig
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from litellm.types.llms.openai import AllMessageValues
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from litellm.types.utils import ModelResponse
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if TYPE_CHECKING:
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from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
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LiteLLMLoggingObj = _LiteLLMLoggingObj
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else:
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LiteLLMLoggingObj = Any
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class AiohttpOpenAIChatConfig(OpenAILikeChatConfig):
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def validate_environment(
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self,
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headers: dict,
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model: str,
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messages: List[AllMessageValues],
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optional_params: dict,
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api_key: Optional[str] = None,
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api_base: Optional[str] = None,
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) -> dict:
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return {}
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def transform_response(
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self,
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model: str,
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raw_response: httpx.Response,
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model_response: ModelResponse,
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logging_obj: LiteLLMLoggingObj,
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request_data: dict,
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messages: List[AllMessageValues],
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optional_params: dict,
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litellm_params: dict,
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encoding: Any,
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api_key: Optional[str] = None,
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json_mode: Optional[bool] = None,
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) -> ModelResponse:
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return ModelResponse(**raw_response.json())
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