rename llms/OpenAI/ -> llms/openai/ (#7154)

* rename OpenAI -> openai

* fix file rename

* fix rename changes

* fix organization of openai/transcription

* fix import OA fine tuning API

* fix openai ft handler

* fix handler import
This commit is contained in:
Ishaan Jaff 2024-12-10 20:14:07 -08:00 committed by GitHub
parent e903fe6038
commit bfb6891eb7
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48 changed files with 53 additions and 59 deletions

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"""
Common helpers / utils across al OpenAI endpoints
"""
import json
from typing import Any, Dict, List, Optional
import httpx
import openai
from litellm.llms.base_llm.transformation import BaseLLMException
class OpenAIError(BaseLLMException):
def __init__(
self,
status_code: int,
message: str,
request: Optional[httpx.Request] = None,
response: Optional[httpx.Response] = None,
headers: Optional[httpx.Headers] = None,
):
self.status_code = status_code
self.message = message
self.headers = headers
if request:
self.request = request
else:
self.request = httpx.Request(method="POST", url="https://api.openai.com/v1")
if response:
self.response = response
else:
self.response = httpx.Response(
status_code=status_code, request=self.request
)
super().__init__(
status_code=status_code,
message=self.message,
headers=self.headers,
request=self.request,
response=self.response,
)
####### Error Handling Utils for OpenAI API #######################
###################################################################
def drop_params_from_unprocessable_entity_error(
e: openai.UnprocessableEntityError, data: Dict[str, Any]
) -> Dict[str, Any]:
"""
Helper function to read OpenAI UnprocessableEntityError and drop the params that raised an error from the error message.
Args:
e (UnprocessableEntityError): The UnprocessableEntityError exception
data (Dict[str, Any]): The original data dictionary containing all parameters
Returns:
Dict[str, Any]: A new dictionary with invalid parameters removed
"""
invalid_params: List[str] = []
if e.body is not None and isinstance(e.body, dict) and e.body.get("message"):
message = e.body.get("message", {})
if isinstance(message, str):
try:
message = json.loads(message)
except json.JSONDecodeError:
message = {"detail": message}
detail = message.get("detail")
if isinstance(detail, List) and len(detail) > 0 and isinstance(detail[0], dict):
for error_dict in detail:
if (
error_dict.get("loc")
and isinstance(error_dict.get("loc"), list)
and len(error_dict.get("loc")) == 2
):
invalid_params.append(error_dict["loc"][1])
new_data = {k: v for k, v in data.items() if k not in invalid_params}
return new_data