文本补全(Completions)
curl --request POST \
--url https://api.gravitex.ai/v1/completions \
--header 'Authorization: <authorization>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "<string>",
"prompt": {},
"max_tokens": 123,
"temperature": 123,
"top_p": 123,
"stream": true,
"stop": {}
}
'import requests
url = "https://api.gravitex.ai/v1/completions"
payload = {
"model": "<string>",
"prompt": {},
"max_tokens": 123,
"temperature": 123,
"top_p": 123,
"stream": True,
"stop": {}
}
headers = {
"Authorization": "<authorization>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<authorization>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: '<string>',
prompt: {},
max_tokens: 123,
temperature: 123,
top_p: 123,
stream: true,
stop: {}
})
};
fetch('https://api.gravitex.ai/v1/completions', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.gravitex.ai/v1/completions",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => '<string>',
'prompt' => [
],
'max_tokens' => 123,
'temperature' => 123,
'top_p' => 123,
'stream' => true,
'stop' => [
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: <authorization>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.gravitex.ai/v1/completions"
payload := strings.NewReader("{\n \"model\": \"<string>\",\n \"prompt\": {},\n \"max_tokens\": 123,\n \"temperature\": 123,\n \"top_p\": 123,\n \"stream\": true,\n \"stop\": {}\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<authorization>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.gravitex.ai/v1/completions")
.header("Authorization", "<authorization>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"<string>\",\n \"prompt\": {},\n \"max_tokens\": 123,\n \"temperature\": 123,\n \"top_p\": 123,\n \"stream\": true,\n \"stop\": {}\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.gravitex.ai/v1/completions")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<authorization>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"<string>\",\n \"prompt\": {},\n \"max_tokens\": 123,\n \"temperature\": 123,\n \"top_p\": 123,\n \"stream\": true,\n \"stop\": {}\n}"
response = http.request(request)
puts response.read_body文本补全和向量嵌入
文本补全(Completions)
OpenAI 兼容的传统文本补全接口
POST
/
v1
/
completions
文本补全(Completions)
curl --request POST \
--url https://api.gravitex.ai/v1/completions \
--header 'Authorization: <authorization>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "<string>",
"prompt": {},
"max_tokens": 123,
"temperature": 123,
"top_p": 123,
"stream": true,
"stop": {}
}
'import requests
url = "https://api.gravitex.ai/v1/completions"
payload = {
"model": "<string>",
"prompt": {},
"max_tokens": 123,
"temperature": 123,
"top_p": 123,
"stream": True,
"stop": {}
}
headers = {
"Authorization": "<authorization>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<authorization>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: '<string>',
prompt: {},
max_tokens: 123,
temperature: 123,
top_p: 123,
stream: true,
stop: {}
})
};
fetch('https://api.gravitex.ai/v1/completions', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.gravitex.ai/v1/completions",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => '<string>',
'prompt' => [
],
'max_tokens' => 123,
'temperature' => 123,
'top_p' => 123,
'stream' => true,
'stop' => [
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: <authorization>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.gravitex.ai/v1/completions"
payload := strings.NewReader("{\n \"model\": \"<string>\",\n \"prompt\": {},\n \"max_tokens\": 123,\n \"temperature\": 123,\n \"top_p\": 123,\n \"stream\": true,\n \"stop\": {}\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "<authorization>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.gravitex.ai/v1/completions")
.header("Authorization", "<authorization>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"<string>\",\n \"prompt\": {},\n \"max_tokens\": 123,\n \"temperature\": 123,\n \"top_p\": 123,\n \"stream\": true,\n \"stop\": {}\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.gravitex.ai/v1/completions")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<authorization>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"<string>\",\n \"prompt\": {},\n \"max_tokens\": 123,\n \"temperature\": 123,\n \"top_p\": 123,\n \"stream\": true,\n \"stop\": {}\n}"
response = http.request(request)
puts response.read_body简介
基于给定提示(prompt)创建文本补全,兼容 OpenAI Completions API 格式。适用于续写、单轮生成等场景;多轮对话请优先使用 聊天补全。
认证
string
必填
Bearer Token,如
Bearer sk-xxxxxxxxxx请求参数
string
必填
模型标识
string | array
必填
提示文本,可为字符串或字符串数组
integer
最大生成 token 数
number
采样温度
number
核采样参数
boolean
默认值:"false"
是否流式返回
string | array
停止序列
请求示例
curl -X POST "https://api.gravitex.ai/v1/completions" \
-H "Authorization: Bearer sk-xxxxxxxxxx" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-4o-mini",
"prompt": "请用一句话介绍人工智能:",
"max_tokens": 100,
"temperature": 0.7
}'
常用参数
- model:模型 ID
- prompt:输入提示
- max_tokens:限制输出长度
- stream:设为
true时以 SSE 流式返回
⌘I
