243a1b0276
Co-authored-by: Zhuohan Li <zhuohan@openai.com> Co-authored-by: Maratyszcza <marat@openai.com> Co-authored-by: Volodymyr Kyrylov <vol@wilab.org.ua>
79 lines
2.9 KiB
Python
79 lines
2.9 KiB
Python
import time
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from typing import Any
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import openai
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from openai import OpenAI
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from .types import MessageList, SamplerBase, SamplerResponse
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OPENAI_SYSTEM_MESSAGE_API = "You are a helpful assistant."
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OPENAI_SYSTEM_MESSAGE_CHATGPT = (
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"You are ChatGPT, a large language model trained by OpenAI, based on the GPT-4 architecture."
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+ "\nKnowledge cutoff: 2023-12\nCurrent date: 2024-04-01"
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)
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class ChatCompletionSampler(SamplerBase):
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"""
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Sample from OpenAI's chat completion API
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"""
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def __init__(
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self,
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model: str = "gpt-3.5-turbo",
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system_message: str | None = None,
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temperature: float = 0.5,
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max_tokens: int = 1024,
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):
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self.api_key_name = "OPENAI_API_KEY"
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self.client = OpenAI()
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# using api_key=os.environ.get("OPENAI_API_KEY") # please set your API_KEY
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self.model = model
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self.system_message = system_message
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self.temperature = temperature
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self.max_tokens = max_tokens
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self.image_format = "url"
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def _pack_message(self, role: str, content: Any):
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return {"role": str(role), "content": content}
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def __call__(self, message_list: MessageList) -> SamplerResponse:
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if self.system_message:
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message_list = [
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self._pack_message("system", self.system_message)
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] + message_list
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trial = 0
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while True:
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try:
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response = self.client.chat.completions.create(
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model=self.model,
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messages=message_list,
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temperature=self.temperature,
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max_tokens=self.max_tokens,
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)
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content = response.choices[0].message.content
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if content is None:
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raise ValueError("OpenAI API returned empty response; retrying")
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return SamplerResponse(
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response_text=content,
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response_metadata={"usage": response.usage},
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actual_queried_message_list=message_list,
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)
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# NOTE: BadRequestError is triggered once for MMMU, please uncomment if you are reruning MMMU
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except openai.BadRequestError as e:
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print("Bad Request Error", e)
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return SamplerResponse(
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response_text="No response (bad request).",
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response_metadata={"usage": None},
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actual_queried_message_list=message_list,
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)
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except Exception as e:
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exception_backoff = 2**trial # expontial back off
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print(
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f"Rate limit exception so wait and retry {trial} after {exception_backoff} sec",
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e,
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)
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time.sleep(exception_backoff)
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trial += 1
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# unknown error shall throw exception
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