import time import logging import openai import os # Configure standard logging logging.basicConfig(level=logging.INFO, format='[%(asctime)s-%(levelname)s-%(module)s-%(lineno)d]- %(message)s') logger = logging.getLogger(__name__) from tenacity import ( retry, stop_after_attempt, wait_random_exponential, ) # for exponential backoff @retry(wait=wait_random_exponential(min=1, max=60), stop=stop_after_attempt(6)) def openai_chatgpt(prompt, model="gpt-3.5-turbo-0125", temperature=0.2, max_tokens=4096, top_p=0.9, n=1): """ Wrapper function for OpenAI's ChatGPT completion. Args: prompt (str): The input text to generate completion for. model (str, optional): Model to be used for the completion. Defaults to "gpt-4-1106-preview". temperature (float, optional): Controls randomness. Lower values make responses more deterministic. Defaults to 0.2. max_tokens (int, optional): Maximum number of tokens to generate. Defaults to 8192. top_p (float, optional): Controls diversity. Defaults to 0.9. n (int, optional): Number of completions to generate. Defaults to 1. Returns: str: The generated text completion. Raises: SystemExit: If an API error, connection error, or rate limit error occurs. """ # Wait for 10 seconds to comply with rate limits for _ in range(10): time.sleep(1) try: client = openai.OpenAI(api_key=os.getenv('OPENAI_API_KEY')) response = client.chat.completions.create( model=model, messages=[{"role": "user", "content": prompt}], max_tokens=max_tokens, n=n, top_p=top_p # Additional parameters can be included here ) return response.choices[0].message.content except openai.APIError as e: logger.error(f"OpenAI API Error: {e}") raise SystemExit from e except openai.APIConnectionError as e: logger.error(f"Failed to connect to OpenAI API: {e}") raise SystemExit from e except openai.RateLimitError as e: logger.error(f"Rate limit exceeded on OpenAI API request: {e}") raise SystemExit from e except Exception as err: logger.error(f"OpenAI error: {err}") raise SystemExit from e