OPENAI API Completion not returning text

Question

I am using node.js and want to use openai API

I just copied the code from openai playground and it looks like this

export const askOpenAi = async () => {
const response = await openai.createCompletion("text-davinci-001", {
    prompt: "\ninput: What is human life expectancy in the United States?\n",
    temperature: 0,
    max_tokens: 100,
    top_p: 1,
    frequency_penalty: 0,
    presence_penalty: 0,
    stop: ["\n", "\ninput:"],
});
return response.data;
}

openai's Returning data look like this

{
  id: '~~~',
  object: 'text_completion',
  created: ~~~,
  model: 'text-davinci:001',
  choices: [ { text: '', index: 0, logprobs: null, finish_reason: 'stop' } ]
}

In the playground, this code works very well.

How can I get right response?

Answer 1

It should be something like this:

export const askOpenAi = async () => {
const prompt = `input: What is human life expectancy in the United States?
output:`
const response = await openai.createCompletion("text-davinci-001", {
    prompt: prompt,
    temperature: 0,
    max_tokens: 100,
    top_p: 1,
    frequency_penalty: 0,
    presence_penalty: 0,
    stop: ["input:"],
});
return response.data;
}

Here, first of all, remove the \n from stop array, because then it will stop the completion after every newline (any answer could be in multiple lines). secondly, no need to add extra \n before input:. it doesnt matter actually.

Finally, remember to give some clue about the completion you're expecting by adding output: at the last of your prompt.

Btw, these type of question ask completion can be achieved through openAI's new instruct mode as well.

const prompt = `Answer the following question:
What is human life expectancy in the United States?
{}`
const response = await openai.createCompletion("text-davinci-001", {
    prompt: prompt,
    temperature: .7,
    max_tokens: 100,
    top_p: 1,
    frequency_penalty: 0,
    presence_penalty: 0,
    stop: ["{}"],
});

Answer 2

Just change stop: ["\n"] in something different. Worked in my case!