The following is the code
import os
import openai
openai.api_key = "..."
response = openai.Completion.create(
model="text-davinci-003",
prompt="I am happy!",
temperature=0, #creativity
max_tokens=10,
top_p=1,
frequency_penalty=0.0,
presence_penalty=0.0,
suffix='I am even more happy!'
)
print(response)
Following is the output
{
"choices": [
{
"finish_reason": "length",
"index": 0,
"logprobs": null,
"text": "\n\nI am happy because I am surrounded by"
}
],
"created": 1674640360,
"id": "cmpl-6cWkK124234ho8C2134afasdasdnwDKLUMP",
"model": "text-davinci-003",
"object": "text_completion",
"usage": {
"completion_tokens": 10,
"prompt_tokens": 10,
"total_tokens": 20
}
}
What does the index
in above following output represent?
The index refers to the index of the prompt
the reply is for.
Since prompt
can be an string or an array, the documentation refers to it as:
prompt string or array
The prompt(s) to generate completions for, encoded as a string , array of strings , array of tokens, or array of token arrays.
As example, consider calling the /completions
endpoint with 2 prompt
's:
{
"model": "text-davinci-003",
"prompt": [
"How should I", // [ 0 ]
"Should I" // [ 1 ]
],
"max_tokens": 7,
"temperature": 0
}
OpenAI will answer to both those prompts, and the index
will refer to what original index in the prompt
the reply is for:
{
"choices": [
{
"text": " go about doing this?\n\n",
"index": 0, // Answers prompt[0]
"logprobs": null,
"finish_reason": "length"
},
{
"text": " use a VPN on my iPhone?",
"index": 1, // Answers prompt[1]
"logprobs": null,
"finish_reason": "length"
}
]
}
In your example, there is only 1 prompt
, so the API will only send 1 object in the choices
array, so the index
will always be 0
.
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