Openai /v1/completions 与 /v1/chat/completions 端点

class OpenaiClassifier():
    def __init__(self, api_keys):
        openai.api_key = api_keys['Openai']

    def get_ratings(self, review):
        prompt = f"Rate the following review as an integer from 1 to 5, where 1 is the worst and 5 is the best: \"{review}\""
        
        response = openai.Completion.create(
            engine="text-davinci-003",
            prompt=prompt,
            n=1,
            max_tokens=5,
            temperature=0.5,
            top_p=1
        )

        try:
            rating = int(response.choices[0].text.strip())
            return rating
        except ValueError:
            return None

我想知道 /v1/completions 和 /v1/chat/completions 端点之间的主要区别是什么，以及如何使用这些模型进行文本分类：gpt-4、gpt-4-0314、gpt-4-32k、gpt-4 -32k-0314，gpt-3.5-turbo，gpt-3.5-turbo-0301

/completions端点提供了一个完成single prompt并接受单个字符串作为输入，而/chat/completions提供给定的响应dialog并要求以与消息历史对应的特定格式输入。

如果你想使用聊天gpt模型，你需要使用/chat/completionsAPI，但您的请求必须调整。

prompt = f"Rate the following review as an integer from 1 to 5, where 1 is the worst and 5 is the best: \"{review}\""

response = openai.ChatCompletion.create(
  model="gpt-3.5-turbo",
  messages=[
    {"role": "user", "content": prompt}
  ]
)