OpenAI ChatGPT（GPT-3.5）API错误："InvalidRequestError。提供的请求参数未被识别： messages"

重要的

有同样问题的人：请参考@Rok Benko的回答。gpt-3.5 入门指南刚刚被更新。这是他们报告的代码，工作起来非常完美：

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?"}
    ]
)

在提出这个问题时，文档中的代码报告了 GPT-3 Completions 端点：

    openai.Completion.create()

问题

我目前正在尝试使用OpenAI的最新模型：gpt-3.5-turbo.我正在学习一个非常基本的教程。

我正在使用 Google Collab 笔记本工作。我必须对提示列表中的每个提示发出请求，为简单起见，它看起来像这样：

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

我定义了一个函数来做到这一点：

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

然而，当我调用responses = get_response(prompts=prompts[0:3])时，我得到了以下错误：

InvalidRequestError: Unrecognized request argument supplied: messages

有什么建议吗？

编辑：

将messages参数替换为prompt，会导致以下错误：

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'

您使用了错误的函数来完成。

Python

ChatGPT的完成端点：

你需要使用这个 ↓

completion = openai.ChatCompletion.create()

GPT-3完成端点：

completion = openai.Completion.create()

工作实例

如果你运行test.py，OpenAI的API将返回以下的完成信息：

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

ChatGPT的完成端点：

你需要使用这个 ↓

const completion = await openai.createChatCompletion()

GPT-3完成端点：

const completion = await openai.createCompletion()

工作实例

如果你运行test.js，OpenAI的API将返回以下的完成信息：

Hello there! How can I assist you today?

test.js

const { Configuration, OpenAIApi } = require('openai');

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

const openai = new OpenAIApi(configuration);

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

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

getCompletionFromOpenAI();

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"])