OpenAI ChatGPT (GPT-3.5) API error: "InvalidRequestError: Unrecognized request argument supplied: messages"

Question

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'

`messages` isn't the correct argument. Guess you need `prompt: []` — 0stone0, Mar 02 '23 at 15:58
@0stone0 the messages argument is the one provided in the documentation. However, implementing your solution leads to another error message (check the most recent **edit**) — corvusMidnight, Mar 02 '23 at 16:08
But the prompt just need to be your question: `prompt: item` — 0stone0, Mar 02 '23 at 16:13
@0stone0 This leads to a different error which I believe has to do with the model (your solution would work, e.g., with a ***davinci*** model. ***InvalidRequestError: This is a chat model and not supported in the v1/completions endpoint. Did you mean to use v1/chat/completions?*** — corvusMidnight, Mar 02 '23 at 16:16
Oke I made some code myself and can't reproduce your problem. Works fine over here. — 0stone0, Mar 02 '23 at 16:29
Sure you are using the latest version of the `openai` package? — 0stone0, Mar 02 '23 at 16:31

Rok Benko · Accepted Answer · 2023-08-29T16:42:18.177

Problem

You used the wrong function to get a completion. When using the OpenAI library (Python or NodeJS), you need to use the right function. Which is the right one? It depends on the model you want to use.

Solution

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

First, find in the table below which API endpoint is compatible with the model you want to use.

API endpoint	Model group	Model name
/v1/chat/completions	• GPT-4 • GPT-3.5	• gpt-4, gpt-4-0613, gpt-4-32k, gpt-4-32k-0613 • gpt-3.5-turbo, gpt-3.5-turbo-0613, gpt-3.5-turbo-16k, gpt-3.5-turbo-16k-0613
/v1/completions (Legacy)	• GPT base • GPT-3	• davinci-002, babbage-002 • text-davinci-003, text-davinci-002, text-davinci-001, text-curie-001, text-babbage-001, text-ada-001, davinci, curie, babbage, ada
/v1/audio/transcriptions	Whisper	whisper-1
/v1/audio/translations	Whisper	whisper-1
/v1/fine-tunes	• GPT-3.5 • GPT base • GPT-3	• gpt-3.5-turbo-0613 (recommended) • davinci-002, babbage-002 • davinci, curie, babbage, ada
/v1/embeddings	Embeddings	text-embedding-ada-002, text-similarity--001, text-search---001, code-search--*-001
/v1/moderations	Moderations	text-moderation-stable, text-moderation-latest

Second, find in the table below which function you need to use.

Note: OpenAI NodeJS SDK v4 was released on August 16, 2023, and is a complete rewrite of the SDK. Among other things, there are changes in method names. See the v3 to v4 migration guide.

API endpoint	Python function	NodeJS function (SDK `v3`)	NodeJS function (SDK `v4`)
/v1/chat/completions	openai.ChatCompletion.create	openai.createChatCompletion	openai.chat.completions.create
/v1/completions	openai.Completion.create	openai.createCompletion	openai.completions.create
/v1/audio/transcriptions	openai.Audio.transcribe	openai.createTranscription	openai.audio.transcriptions.create
/v1/audio/translations	openai.Audio.translate	openai.createTranslation	openai.audio.translations.create
/v1/fine-tunes	openai.FineTune.create	openai.createFineTune	openai.fineTunes.create
/v1/embeddings	openai.Embedding.create	openai.createEmbedding	openai.embeddings.create
/v1/moderations	openai.Moderation.create	openai.createModeration	openai.moderations.create

Python working example for the `gpt-3.5-turbo` (i.e., Chat Completions API)

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

Hello there! How can I assist you today?

test.py

import openai
import os

openai.api_key = os.getenv('OPENAI_API_KEY')

completion = openai.ChatCompletion.create(
  model = 'gpt-3.5-turbo',
  messages = [
    {'role': 'user', 'content': 'Hello!'}
  ],
  temperature = 0  
)

print(completion['choices'][0]['message']['content'])

NodeJS working example for the `gpt-3.5-turbo` (i.e., Chat Completions API)

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

Hello there! How can I assist you today?

• If you have the OpenAI NodeJS SDK v3:

test.js

// Old (i.e., OpenAI NodeJS SDK v3)
const { Configuration, OpenAIApi } = require('openai');

const configuration = new Configuration({
  apiKey: process.env.OPENAI_API_KEY,
});

const openai = new OpenAIApi(configuration);

async function getChatCompletionFromOpenAI() {
  const chatCompletion = await openai.createChatCompletion({
    model: 'gpt-3.5-turbo',
    messages: [
      { role: 'user', content: 'Hello!' }
    ],
    temperature: 0,
  });

  console.log(chatCompletion.data.choices[0].message.content);
}

getChatCompletionFromOpenAI();

• If you have the OpenAI NodeJS SDK v4:

test.js

// New (i.e., OpenAI NodeJS SDK v4)
import OpenAI from 'openai';

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

async function getChatCompletionFromOpenAI() {
  const chatCompletion = await openai.chat.completions.create({
    model: 'gpt-3.5-turbo',
    messages: [
      { role: 'user', content: 'Hello!' }
    ],
    temperature: 0,
  });

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

getChatCompletionFromOpenAI();

This: I think the naming practices at OpenAI made it a bit confusing, Why would you have this in the introduction example: ```import openai openai.ChatCompletion.create( model="gpt-3.5-turbo", messages=[ {"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": "Who won the world series in 2020?"}, {"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in 2020."}, {"role": "user", "content": "Where was it played?"} ] )``` — corvusMidnight, Mar 03 '23 at 07:19
I agree, it's a bit confusing. I think they should copy-paste the example from the documentation. — Rok Benko, Mar 03 '23 at 08:30
This is Pytthon, right? What's the nodejs equivalent? I had `const completion = await openai.createCompletion({....})` but I get the error "This is a chat model and not supported in the v1/completions endpoint. Did you mean to use v1/chat/completions?" — matteo, Mar 05 '23 at 21:23

score 2 · Answer 2 · answered Mar 05 '23 at 17:52

2

response = openai.ChatCompletion.create(
model='gpt-3.5-turbo',
  messages=[
    {"role": "user", "content": "What is openAI?"}],
max_tokens=193,
temperature=0,
)

print(response)
print(response["choices"][0]["message"]["content"])

answered Mar 05 '23 at 17:52

abdelrahman aboneda

176
1
4

5

This answer could benefit from literally any explanation at all. Code-only answers are rarely useful, especially as time goes on. – TylerH Mar 24 '23 at 14:26

score 0 · Answer 3 · edited Jun 01 '23 at 22:16

You should define messages=[{"role": "user", "content": prompt}] outside of your response variable and call that in response variable like:

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

OpenAI ChatGPT (GPT-3.5) API error: "InvalidRequestError: Unrecognized request argument supplied: messages"

3 Answers3

Problem

Solution

Python working example for the `gpt-3.5-turbo` (i.e., Chat Completions API)

NodeJS working example for the `gpt-3.5-turbo` (i.e., Chat Completions API)

Linked

OpenAI ChatGPT (GPT-3.5) API error: "InvalidRequestError: Unrecognized request argument supplied: messages"

3 Answers3

Problem

Solution

Python working example for the gpt-3.5-turbo (i.e., Chat Completions API)

NodeJS working example for the gpt-3.5-turbo (i.e., Chat Completions API)

Linked

Python working example for the `gpt-3.5-turbo` (i.e., Chat Completions API)

NodeJS working example for the `gpt-3.5-turbo` (i.e., Chat Completions API)