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* VoyageEmbeddingConfig * fix voyage logic to get params * add voyage embedding transformation * add get_provider_embedding_config * use BaseEmbeddingConfig * voyage clean up * use llm http handler for embedding transformations * test_voyage_ai_embedding_extra_params * add voyage async * test_voyage_ai_embedding_extra_params * add async for llm http handler * update BaseLLMEmbeddingTest * test_voyage_ai_embedding_extra_params * fix linting * fix get_provider_embedding_config * fix anthropic text test * update location of base/chat/transformation * fix import path * fix IBMWatsonXAIConfig
79 lines
2.6 KiB
Python
79 lines
2.6 KiB
Python
"""
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Common helpers / utils across al OpenAI endpoints
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"""
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import json
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from typing import Any, Dict, List, Optional, Union
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import httpx
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import openai
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from litellm.llms.base_llm.chat.transformation import BaseLLMException
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class OpenAIError(BaseLLMException):
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def __init__(
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self,
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status_code: int,
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message: str,
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request: Optional[httpx.Request] = None,
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response: Optional[httpx.Response] = None,
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headers: Optional[Union[dict, httpx.Headers]] = None,
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):
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self.status_code = status_code
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self.message = message
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self.headers = headers
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if request:
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self.request = request
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else:
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self.request = httpx.Request(method="POST", url="https://api.openai.com/v1")
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if response:
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self.response = response
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else:
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self.response = httpx.Response(
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status_code=status_code, request=self.request
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)
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super().__init__(
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status_code=status_code,
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message=self.message,
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headers=self.headers,
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request=self.request,
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response=self.response,
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)
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####### Error Handling Utils for OpenAI API #######################
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###################################################################
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def drop_params_from_unprocessable_entity_error(
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e: openai.UnprocessableEntityError, data: Dict[str, Any]
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) -> Dict[str, Any]:
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"""
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Helper function to read OpenAI UnprocessableEntityError and drop the params that raised an error from the error message.
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Args:
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e (UnprocessableEntityError): The UnprocessableEntityError exception
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data (Dict[str, Any]): The original data dictionary containing all parameters
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Returns:
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Dict[str, Any]: A new dictionary with invalid parameters removed
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"""
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invalid_params: List[str] = []
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if e.body is not None and isinstance(e.body, dict) and e.body.get("message"):
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message = e.body.get("message", {})
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if isinstance(message, str):
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try:
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message = json.loads(message)
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except json.JSONDecodeError:
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message = {"detail": message}
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detail = message.get("detail")
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if isinstance(detail, List) and len(detail) > 0 and isinstance(detail[0], dict):
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for error_dict in detail:
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if (
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error_dict.get("loc")
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and isinstance(error_dict.get("loc"), list)
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and len(error_dict.get("loc")) == 2
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):
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invalid_params.append(error_dict["loc"][1])
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new_data = {k: v for k, v in data.items() if k not in invalid_params}
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return new_data
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