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""" |
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*New config* for using aiohttp to make the request to the custom OpenAI-like provider |
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|
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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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|
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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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from aiohttp import ClientResponse |
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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 Choices, 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 get_complete_url( |
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self, |
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api_base: str, |
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model: str, |
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optional_params: dict, |
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stream: Optional[bool] = None, |
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) -> str: |
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""" |
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Ensure - /v1/chat/completions is at the end of the url |
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""" |
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if not api_base.endswith("/chat/completions"): |
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api_base += "/chat/completions" |
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return api_base |
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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 {"Authorization": f"Bearer {api_key}"} |
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async def transform_response( |
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self, |
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model: str, |
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raw_response: ClientResponse, |
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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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_json_response = await raw_response.json() |
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model_response.id = _json_response.get("id") |
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model_response.choices = [ |
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Choices(**choice) for choice in _json_response.get("choices") |
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] |
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model_response.created = _json_response.get("created") |
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model_response.model = _json_response.get("model") |
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model_response.object = _json_response.get("object") |
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model_response.system_fingerprint = _json_response.get("system_fingerprint") |
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return model_response |
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