Openai /v1/completions vs. /v1/chat/completions end points

Question

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

I wonder what's the main difference between /v1/completions and /v1/chat/completions endpoints, and how I can do text classification using these models: gpt-4, gpt-4-0314, gpt-4-32k, gpt-4-32k-0314, gpt-3.5-turbo, gpt-3.5-turbo-0301

Answer 1

/completions endpoint provides the completion for a single prompt and takes a single string as an input, whereas the /chat/completions provides the responses for a given dialog and requires the input in a specific format corresponding to the message history.

If you want to use chat gpt models, you need to use /chat/completions API, but your request has to be adjusted.

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}
  ]
)