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,
"stream": true
}
'import requests
url = "https://api.gravitex.ai/v1/completions"
payload = {
"model": "<string>",
"prompt": {},
"max_tokens": 123,
"temperature": 123,
"stream": True
}
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, stream: true})
};
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,
'stream' => true
]),
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 \"stream\": true\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 \"stream\": true\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 \"stream\": true\n}"
response = http.request(request)
puts response.read_bodyCompletions & Embeddings
Completions
OpenAI-compatible legacy text completion API
POST
/
v1
/
completions
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,
"stream": true
}
'import requests
url = "https://api.gravitex.ai/v1/completions"
payload = {
"model": "<string>",
"prompt": {},
"max_tokens": 123,
"temperature": 123,
"stream": True
}
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, stream: true})
};
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,
'stream' => true
]),
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 \"stream\": true\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 \"stream\": true\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 \"stream\": true\n}"
response = http.request(request)
puts response.read_bodyIntroduction
Create text completions from aprompt, compatible with the OpenAI Completions API. For multi-turn dialogue, prefer Chat completions.
Authentication
string
required
Bearer Token, e.g.
Bearer sk-xxxxxxxxxxRequest parameters
string
required
Model ID
string | array
required
Prompt text (string or array of strings)
integer
Maximum tokens to generate
number
Sampling temperature
boolean
default:"false"
Stream response via SSE
Request example
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": "In one sentence, describe AI:",
"max_tokens": 100,
"temperature": 0.7
}'
Common parameters
- model: Model ID
- prompt: Input prompt
- max_tokens: Cap output length
- stream: Set
truefor SSE streaming
âI
