Text Generation
POSThttps://api.cometapi.com/v1/completionsGiven a hint, the model will return one or more predicted completions.
Request
Your API-KEY or Token
ID of the model to use. See the model list for details on which models work with the Chat API.
The prompt of input you want to receive completions
The maximum number of tokens that can be generated in the chat completion. The total length of input tokens and generated tokens is limited by the model's context length.
What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or top_p but not both.
An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both.
How many chat completion choices to generate for each input message. Note that you will be charged based on the number of generated tokens across all of the choices. Keep n as 1 to minimize costs.
If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message.
Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the content of message.
Up to 4 sequences where the API will stop generating further tokens.
{
"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 samples
[api.label.responses]
{
"id": "cmpl-uqkvlQyYK7bGYrRHQ0eXlWi7",
"object": "text_completion",
"created": 1589478378,
"model": "gpt-3.5-turbo-instruct",
"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
}
}