Create chat completion

POST

https://api.openai.com/v1/chat/completions

Creates a model response for the given chat conversation. Learn more in the text generation, vision, and audio guides.

Request Example

Shell

JavaScript

Java

Swift

curl --location --request POST 'https://api.openai.com/v1/chat/completions' \
--header 'Accept: application/json' \
--header 'Authorization: Bearer ' \
--header 'Content-Type: application/json' \
--data-raw '{
  "model": "gpt-3.5-turbo",
  "messages": [{"role": "user", "content": "Hello!"}]
}'

Response Example

{
    "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
    }
}

Request

Authorization

Provide your bearer token in the

Authorization

header when making requests to protected resources.

Example:

Authorization: Bearer ********************

Header Params

Content-Type

string

required

Example:

application/json

string

required

Example:

application/json

Authorization

string

optional

Example:

Bearer {{YOUR_API_KEY}}

Body Params application/json

model

string

required

ID of the model to use. See the model endpoint compatibility table for details on which models work with the Chat API.

messages

array [object {2}]

required

A list of messages comprising the conversation so far. Example Python code.

role

string

optional

The role of the messages author. One of system, user, assistant, or function.

content

string

optional

The contents of the message. content is required for all messages except assistant messages with function calls.

temperature

integer

optional

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.

top_p

integer

optional

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.

integer

optional

How many chat completion choices to generate for each input message.

stream

boolean

optional

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. Example Python code.

stop

string

optional

Up to 4 sequences where the API will stop generating further tokens.

max_tokens

integer

optional

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. Example Python code for counting tokens.

presence_penalty

number

optional

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. See more information about frequency and presence penalties.

frequency_penalty

number

optional

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. See more information about frequency and presence penalties.

logit_bias

null

optional

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

optional

A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more.

Examples

Responses

🟢200OK

application/json

Body

string

required

object

string

required

created

integer

required

choices

array [object {3}]

required

index

integer

optional

message

object

optional

finish_reason

string

optional

usage

object

required

prompt_tokens

integer

required

completion_tokens

integer

required

total_tokens

integer

required

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