Quickstart

curl -X POST https://api.llmgateway.io/v1/chat/completions \-H "Content-Type: application/json" \-H "Authorization: Bearer $LLM_GATEWAY_API_KEY" \-d '{"model": "gpt-4o","messages": [  {"role": "user", "content": "Hello, how are you?"}]}'

const response = await fetch('https://api.llmgateway.io/v1/chat/completions', {method: 'POST',headers: {  'Content-Type': 'application/json',  'Authorization': `Bearer ${process.env.LLM_GATEWAY_API_KEY}`},body: JSON.stringify({  model: 'gpt-4o',  messages: [    { role: 'user', content: 'Hello, how are you?' }  ]})});if (!response.ok) {throw new Error(`HTTP error! status: ${response.status}`);}const data = await response.json();console.log(data.choices[0].message.content);

import { useState } from 'react'function ChatComponent() {const [response, setResponse] = useState('');const [loading, setLoading] = useState(false);const sendMessage = async () => {setLoading(true);try {const res = await fetch('https://api.llmgateway.io/v1/chat/completions', {method: 'POST',headers: {'Content-Type': 'application/json','Authorization': `Bearer ${process.env.REACT_APP_LLM_GATEWAY_API_KEY}`},body: JSON.stringify({model: 'gpt-4o',messages: [{ role: 'user', content: 'Hello, how are you?' }]})});    if (!res.ok) {      throw new Error(`HTTP error! status: ${res.status}`);    }    const data = await res.json();    setResponse(data.choices[0].message.content);  } catch (error) {    console.error('Error:', error);  } finally {    setLoading(false);  }};return (<div><button onClick={sendMessage} disabled={loading}>	{loading ? "Sending..." : "Send Message"}</button>{response && <p>{response}</p>}</div>); }export default ChatComponent;

; // app/api/chat/route.tsimport { NextRequest, NextResponse } from "next/server";export async function POST(request: NextRequest) {const { message } = await request.json();const response = await fetch('https://api.llmgateway.io/v1/chat/completions', {method: 'POST',headers: {'Content-Type': 'application/json','Authorization': `Bearer ${process.env.LLM_GATEWAY_API_KEY}`},body: JSON.stringify({model: 'gpt-4o',messages: [{ role: 'user', content: message }]})});if (!response.ok) {return NextResponse.json({ error: 'Failed to get response' }, { status: response.status });}const data = await response.json();return NextResponse.json({message: data.choices[0].message.content});}// Usage in component:// const response = await fetch('/api/chat', {// method: 'POST',// headers: { 'Content-Type': 'application/json' },// body: JSON.stringify({ message: 'Hello, how are you?' })// });

import requestsimport osresponse = requests.post('https://api.llmgateway.io/v1/chat/completions',headers={'Content-Type': 'application/json','Authorization': f'Bearer {os.getenv("LLM_GATEWAY_API_KEY")}'},json={'model': 'gpt-4o','messages': [{'role': 'user', 'content': 'Hello, how are you?'}]})response.raise_for_status()print(response.json()['choices'][0]['message']['content'])

import java.net.http.HttpClient;import java.net.http.HttpRequest;import java.net.http.HttpResponse;import java.net.URI;String apiKey = System.getenv("LLM_GATEWAY_API_KEY");String requestBody = """{"model": "gpt-4o","messages": [{"role": "user", "content": "Hello, how are you?"}]}""";HttpRequest request = HttpRequest.newBuilder().uri(URI.create("https://api.llmgateway.io/v1/chat/completions")).header("Content-Type", "application/json").header("Authorization", "Bearer " + apiKey).POST(HttpRequest.BodyPublishers.ofString(requestBody)).build();HttpResponse<String> response = HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString());System.out.println(response.body());

use reqwest::Client;use serde_json::json;use std::env;#[tokio::main]async fn main() -> Result<(), Box<dyn std::error::Error>> {let client = Client::new();let api_key = env::var("LLM_GATEWAY_API_KEY")?;  let response = client      .post("https://api.llmgateway.io/v1/chat/completions")      .header("Content-Type", "application/json")      .header("Authorization", format!("Bearer {}", api_key))      .json(&json!({          "model": "gpt-4o",          "messages": [              {"role": "user", "content": "Hello, how are you?"}          ]      }))      .send()      .await?;  let result: serde_json::Value = response.json().await?;  println!("{}", result["choices"][0]["message"]["content"]);  Ok(())}

package mainimport (  "bytes"  "encoding/json"  "fmt"  "net/http"  "os")type ChatRequest struct {Model string `json:"model"`Messages []Message `json:"messages"`}type Message struct {Role string `json:"role"`Content string `json:"content"`}func main() {apiKey := os.Getenv("LLM_GATEWAY_API_KEY")  requestBody := ChatRequest{      Model: "gpt-4o",      Messages: []Message{{Role: "user", Content: "Hello, how are you?"}},  }  jsonData, _ := json.Marshal(requestBody)  req, _ := http.NewRequest("POST", "https://api.llmgateway.io/v1/chat/completions", bytes.NewBuffer(jsonData))  req.Header.Set("Content-Type", "application/json")  req.Header.Set("Authorization", "Bearer "+apiKey)  client := &http.Client{}  resp, _ := client.Do(req)  defer resp.Body.Close()  fmt.Println("Response received")}

<?php$apiKey = $_ENV['LLM_GATEWAY_API_KEY'];$data = ['model' => 'gpt-4o','messages' => [['role' => 'user', 'content' => 'Hello, how are you?']]];$options = [  'http' => [      'header' => [          'Content-Type: application/json',          'Authorization: Bearer ' . $apiKey      ],      'method' => 'POST',      'content' => json_encode($data)]];$context = stream_context_create($options);$response = file_get_contents('https://api.llmgateway.io/v1/chat/completions',false,$context);if ($response === FALSE) {throw new Exception('Request failed');}$result = json_decode($response, true);echo $result['choices'][0]['message']['content'];?>

require 'net/http'require 'json'require 'uri'uri = URI('https://api.llmgateway.io/v1/chat/completions')http = Net::HTTP.new(uri.host, uri.port)http.use_ssl = truerequest = Net::HTTP::Post.new(uri)request['Content-Type'] = 'application/json'request['Authorization'] = "Bearer #{ENV['LLM_GATEWAY_API_KEY']}"request.body = {model: 'gpt-4o',messages: [{ role: 'user', content: 'Hello, how are you?' }]}.to_jsonresponse = http.request(request)if response.code != '200'raise "HTTP Error: #{response.code}"endresult = JSON.parse(response.body)puts result['choices'][0]['message']['content']