Given a prompt, the model will return one or more predicted completions along with the probabilities of alternative tokens at each position. Most developer should use our Chat Completions API to leverage our best and newest models.
Request
Header Params
Body Params application/json
Example
{"model":"gpt-3.5-turbo-instruct","prompt":"Say this is a test","max_tokens":7,"temperature":0,"top_p":1,"n":1,"stream":false,"logprobs":null,"stop":"\n"}
Request Code Samples
Shell
JavaScript
Java
Swift
Go
PHP
Python
HTTP
C
C#
Objective-C
Ruby
OCaml
Dart
R
Request Request Example
Shell
JavaScript
Java
Swift
curl--location--request POST 'https://api.gptnb.me/v1/completions' \
--header'Authorization: Bearer ' \
--header'Content-Type: application/json' \
--data-raw'{
"model": "gpt-3.5-turbo-instruct",
"prompt": "Say this is a test",
"max_tokens": 7,
"temperature": 0,
"top_p": 1,
"n": 1,
"stream": false,
"logprobs": null,
"stop": "\n"
}'
Responses
🟢200Ok
application/json
Body
Example
{"id":"cmpl-uqkvlQyYK7bGYrRHQ0eXlWi7","object":"text_completion","created":1589478378,"model":"text-davinci-003","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}}
