| | 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
|
| |
|
