Copy of Chat interface

Given a cue, the model will return one or more predicted completions, and may also return probabilities of alternative labels for each location.

Create complete for provided hints and parameters

POST /v1/completions

Give a typical example

{
    "model": "gpt-3.5-turbo-instruct",
    "prompt": "Say this is a test",
    "max_tokens": 7,
    "temperature": 0
  }

JavaScript

var myHeaders = new Headers();
myHeaders.append("Authorization", "Bearer ");
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
   "model": "gpt-3.5-turbo-instruct",
   "prompt": "Say this is a test",
   "max_tokens": 7,
   "temperature": 0
});

var requestOptions = {
   method: 'POST',
   headers: myHeaders,
   body: raw,
   redirect: 'follow'
};

fetch("{{BASE_URL}}/v1/completions", requestOptions)
   .then(response => response.text())
   .then(result => console.log(result))
   .catch(error => console.log('error', error));

Python

import http.client
import json

conn = http.client.HTTPSConnection("{{BASE_URL}}")
payload = json.dumps({
   "model": "gpt-3.5-turbo-instruct",
   "prompt": "Say this is a test",
   "max_tokens": 7,
   "temperature": 0
})
headers = {
   'Authorization': 'Bearer ',
   'Content-Type': 'application/json'
}
conn.request("POST", "/v1/completions", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))

Ruby

require "uri"
require "json"
require "net/http"

url = URI("{{BASE_URL}}/v1/completions")

http = Net::HTTP.new(url.host, url.port);
request = Net::HTTP::Post.new(url)
request["Authorization"] = "Bearer "
request["Content-Type"] = "application/json"
request.body = JSON.dump({
   "model": "gpt-3.5-turbo-instruct",
   "prompt": "Say this is a test",
   "max_tokens": 7,
   "temperature": 0
})

response = http.request(request)
puts response.read_body

Give a typical example OK

{

  "id": "cmpl-uqkvlQyYK7bGYrRHQ0eXlWi7",

  "object": "text_completion",

  "created": 1589478378,

  "model": "gpt-3.5-turbo-instruct",

  "system_fingerprint": "fp_44709d6fcb",

  "choices": [

    {

      "text": "\n\nThis is indeed a test",

      "index": 0,

      "logprobs": null,

      "finish_reason": "length"

    }

  ],

  "usage": {

    "prompt_tokens": 5,

    "completion_tokens": 7,

    "total_tokens": 12

  }

}