Upon reviewing the code, one issue stands out: The OpenAI API client instantiation in services/llm/__init__.py uses a deprecated or non-existent method openai.OpenAI. The correct usage should be the instantiation of the openai client without an explicit class method like openai.OpenAI. Instead, the openai library should be properly utilized as per its documentation.
Here's the correct way to initialize the openai client based on OpenAI's API:
import openai
def get_openai_client(api_key: str = None) -> openai.OpenAI:
"""Factory function to create and configure an OpenAI client."""
try:
if api_key is None:
api_key = os.environ["OPENAI_API_KEY"]
openai.api_key = api_key
return openai
except KeyError as err:
log(
("OPENAI_API_KEY is not set in environment variables. "
"Please set it to use LLM functionalities."),
level="error",
)
raise llm_exceptions.NotFoundAPIKeyException(
"API key must be provided as an argument or in the environment"
) from err
This ensures the functionality will not break due to incorrect instantiation of the OpenAI client.
Upon reviewing the code, one issue stands out: The OpenAI API client instantiation in
services/llm/__init__.py
uses a deprecated or non-existent methodopenai.OpenAI
. The correct usage should be the instantiation of theopenai
client without an explicit class method likeopenai.OpenAI
. Instead, theopenai
library should be properly utilized as per its documentation.Here's the correct way to initialize the
openai
client based on OpenAI's API:This ensures the functionality will not break due to incorrect instantiation of the OpenAI client.