OpenAI Chat Completions API error: "InvalidRequestError: Unrecognized request argument supplied: messages"

I am currently trying to use OpenAI's most recent model: gpt-3.5-turbo. I am following a very basic tutorial.

I am working from a Google Collab notebook. I have to make a request for each prompt in a list of prompts, which for sake of simplicity looks like this:

prompts = ['What are your functionalities?', 'what is the best name for an ice-cream shop?', 'who won the premier league last year?']

I defined a function to do so:

import openai

# Load your API key from an environment variable or secret management service
openai.api_key = 'my_API'

def get_response(prompts: list, model = "gpt-3.5-turbo"):
  responses = []

  
  restart_sequence = "\n"

  for item in prompts:

      response = openai.Completion.create(
      model=model,
      messages=[{"role": "user", "content": prompt}],
      temperature=0,
      max_tokens=20,
      top_p=1,
      frequency_penalty=0,
      presence_penalty=0
    )

      responses.append(response['choices'][0]['message']['content'])

  return responses

However, when I call responses = get_response(prompts=prompts[0:3]) I get the following error:

InvalidRequestError: Unrecognized request argument supplied: messages

Any suggestions?

Replacing the messages argument with prompt leads to the following error:

InvalidRequestError: [{'role': 'user', 'content': 'What are your functionalities?'}] is valid under each of {'type': 'array', 'minItems': 1, 'items': {'oneOf': [{'type': 'integer'}, {'type': 'object', 'properties': {'buffer': {'type': 'string', 'description': 'A serialized numpy buffer'}, 'shape': {'type': 'array', 'items': {'type': 'integer'}, 'description': 'Array shape'}, 'dtype': {'type': 'string', 'description': 'Stringified dtype'}, 'token': {'type': 'string'}}}]}, 'example': '[1, 1313, 451, {"buffer": "abcdefgh", "shape": [1024], "dtype": "float16"}]'}, {'type': 'array', 'minItems': 1, 'maxItems': 2048, 'items': {'oneOf': [{'type': 'string'}, {'type': 'object', 'properties': {'buffer': {'type': 'string', 'description': 'A serialized numpy buffer'}, 'shape': {'type': 'array', 'items': {'type': 'integer'}, 'description': 'Array shape'}, 'dtype': {'type': 'string', 'description': 'Stringified dtype'}, 'token': {'type': 'string'}}}], 'default': '', 'example': 'This is a test.', 'nullable': False}} - 'prompt'

Problem

You used the wrong method to get a completion. When using the OpenAI SDK, whether you use Python or Node.js, you need to use the right method.

Which method is the right one? It depends on the OpenAI model you want to use.

Solution

The tables below will help you figure out which method is the right one for a given OpenAI model.

STEP 1: Find in the table below which API endpoint is compatible with the OpenAI model you want to use.

STEP 2: Find in the table below which method you need to use for the API endpoint you selected in the table above.

Note: Pay attention, because you have to use the method that is compatible with your OpenAI SDK version.

Python SDK v1.0.0 working example for the gpt-3.5-turbo model

If you run test.py, the OpenAI API will return the following completion:

Hello! How can I assist you today?

test.py

import os
from openai import OpenAI

client = OpenAI(
    api_key = os.getenv("OPENAI_API_KEY"),
)

completion = client.chat.completions.create(
  model = "gpt-3.5-turbo",
  messages = [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Hello!"},
  ]
)

print(completion.choices[0].message.content.strip())

Node.js SDK v4.0.0 working example for the gpt-3.5-turbo model

If you run test.js, the OpenAI API will return the following completion:

Hello! How can I assist you today?

test.js

const OpenAI = require("openai");

const openai = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY,
});

async function main() {
  const completion = await openai.chat.completions.create({
    model: "gpt-3.5-turbo",
    messages: [
      { role: "system", content: "You are a helpful assistant." },
      { role: "user", content: "Hello!" },
    ],
  });

  console.log(completion.choices[0].message.content.trim());
}

main();