| import signal
|
| import time
|
|
|
| import openai
|
| from openai.types.chat import ChatCompletion
|
|
|
|
|
| def make_request(
|
| client: openai.Client,
|
| message: str,
|
| model: str,
|
| max_tokens: int = 512,
|
| temperature: float = 1,
|
| n: int = 1,
|
| **kwargs
|
| ) -> ChatCompletion:
|
| system_msg = "You are a helpful assistant good at coding."
|
| if (
|
| kwargs.get("response_format", None)
|
| and kwargs["response_format"]["type"] == "json_object"
|
| ):
|
| system_msg = "You are a helpful assistant designed to output JSON."
|
|
|
| return client.chat.completions.create(
|
| model=model,
|
| messages=[
|
| {"role": "system", "content": system_msg},
|
| {"role": "user", "content": message},
|
| ],
|
| max_tokens=max_tokens,
|
| temperature=temperature,
|
| n=n,
|
| **kwargs
|
| )
|
|
|
|
|
| def handler(signum, frame):
|
|
|
| raise Exception("end of time")
|
|
|
|
|
| def make_auto_request(*args, **kwargs) -> ChatCompletion:
|
| ret = None
|
| while ret is None:
|
| try:
|
| signal.signal(signal.SIGALRM, handler)
|
| signal.alarm(100)
|
| ret = make_request(*args, **kwargs)
|
| signal.alarm(0)
|
| except openai.RateLimitError:
|
| print("Rate limit exceeded. Waiting...")
|
| signal.alarm(0)
|
| time.sleep(5)
|
| except openai.APIConnectionError:
|
| print("API connection error. Waiting...")
|
| signal.alarm(0)
|
| time.sleep(5)
|
| except openai.APIError as e:
|
| print(e)
|
| signal.alarm(0)
|
| except Exception as e:
|
| print("Unknown error. Waiting...")
|
| print(e)
|
| signal.alarm(0)
|
| time.sleep(1)
|
| return ret
|
|
|
