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OpenAI API : Chat 살펴 보겠습니다


Given a list of messages describing a conversation, the model will return a response.

Create chat completion

Creates a model response for the given chat conversation.

Request body

model (string / 필수)ID of the model to use.
messages (array / 필수)A list of messages describing the conversation so far.
role (string / 필수)The role of the author of this message. One of system, user, or assistant.
content (string / 필수)The contents of the message.
name (string / 옵션)The name of the author of this message. May contain a-z, A-Z, 0-0, and unserscores, with a maximum length of 64 characters.
temperature (number / 옵션)What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the outputmore random, while lower values like 0.2 will make it more focused and deterministic.
top_p (number / 옵션)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.
n (integer / 옵션)How many chat completion choices to generate for each input message.
stream (boolean / 옵션)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.
stop (string or array / 옵션)Up to 4 sequences where the API will stop generating further tokens.
max_tokens (integer / 옵션)The maximum number of tokens to generate in the chat completion.
The total length of input tokens and generated tokens is limited by the model’s context length.
presence_penalty (number / 옵션)Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model’s likelihood to talk about new topics.
frequency_penalty (number / 옵션)Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model’s likelihood to repeat the same line verbatim.
logit_bias (map / 옵션)Modify the likelihood of specified tokens appearing in the completion.

Accepts a json object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
user (string / 옵션)A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.

Example request

curl \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -d '{
    "model": "gpt-3.5-turbo",
    "messages": [{"role": "user", "content": "Hello!"}]


  "model": "gpt-3.5-turbo",
  "messages": [{"role": "user", "content": "Hello!"}]


  "id": "chatcmpl-123",
  "object": "chat.completion",
  "created": 1677652288,
  "choices": [{
    "index": 0,
    "message": {
      "role": "assistant",
      "content": "\n\nHello there, how may I assist you today?",
    "finish_reason": "stop"
  "usage": {
    "prompt_tokens": 9,
    "completion_tokens": 12,
    "total_tokens": 21

호출 결과

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