Chat Completions
Create a completion for the chat conversation
modelstring
messagesarray<object>
temperature?number
max_tokens?number
top_p?number
frequency_penalty?number
presence_penalty?number
response_format?object
stream?boolean
Default
falsetools?array<object>
tool_choice?string & string & object
Response Body
curl -X POST "http://localhost:4001/v1/chat/completions" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-4o",
"messages": [
{
"role": "user",
"content": "Hello!"
}
]
}'const body = JSON.stringify({
"model": "gpt-4o",
"messages": [
{
"role": "user",
"content": "Hello!"
}
]
})
fetch("http://localhost:4001/v1/chat/completions", {
body
})package main
import (
"fmt"
"net/http"
"io/ioutil"
"strings"
)
func main() {
url := "http://localhost:4001/v1/chat/completions"
body := strings.NewReader(`{
"model": "gpt-4o",
"messages": [
{
"role": "user",
"content": "Hello!"
}
]
}`)
req, _ := http.NewRequest("POST", url, body)
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := ioutil.ReadAll(res.Body)
fmt.Println(res)
fmt.Println(string(body))
}import requests
url = "http://localhost:4001/v1/chat/completions"
body = {
"model": "gpt-4o",
"messages": [
{
"role": "user",
"content": "Hello!"
}
]
}
response = requests.request("POST", url, json = body, headers = {
"Content-Type": "application/json"
})
print(response.text){
"id": "string",
"object": "string",
"created": 0,
"model": "string",
"choices": [
{
"index": 0,
"message": {
"role": "string",
"content": "string",
"tool_calls": [
{
"id": "string",
"type": "function",
"function": {
"name": "string",
"arguments": "string"
}
}
]
},
"finish_reason": "string"
}
],
"usage": {
"prompt_tokens": 0,
"completion_tokens": 0,
"total_tokens": 0
}
}{
"error": {
"message": "string",
"type": "string",
"param": "string",
"code": "string"
}
}