اولین درخواست مدل خود را در چند دقیقه ارسال کنید

// YourProject.Build.cs
PrivateDependencyModuleNames.AddRange(new string[] { "HTTP", "Json" });

#include "CoreMinimal.h"
#include "HttpModule.h"
#include "Interfaces/IHttpRequest.h"
#include "Interfaces/IHttpResponse.h"
#include "Dom/JsonObject.h"
#include "Serialization/JsonSerializer.h"
#include "Serialization/JsonWriter.h"

// Call your own authenticated backend, not the model gateway.
// SessionToken is a short-lived user session, NOT an API key.
void SendAIRequest(const FString& BackendOrigin,
    const FString& SessionToken, const FString& Prompt)
{
    auto Body = MakeShared<FJsonObject>();
    Body->SetStringField(TEXT("prompt"), Prompt);
    FString Payload;
    auto Writer = TJsonWriterFactory<>::Create(&Payload);
    FJsonSerializer::Serialize(Body, Writer);

    auto Request = FHttpModule::Get().CreateRequest();
    Request->SetURL(BackendOrigin + TEXT("/api/ai/chat"));
    Request->SetVerb(TEXT("POST"));
    Request->SetHeader(TEXT("Content-Type"), TEXT("application/json"));
    Request->SetHeader(TEXT("Authorization"), TEXT("Bearer ") + SessionToken);
    Request->SetContentAsString(Payload);
    Request->SetTimeout(30.0f);
    Request->OnProcessRequestComplete().BindLambda(
        [](FHttpRequestPtr, FHttpResponsePtr Response, bool bSuccess) {
            if (!bSuccess || !Response.IsValid() ||
                Response->GetResponseCode() != 200) {
                UE_LOG(LogTemp, Warning, TEXT("AI request failed"));
                return;
            }
            // Response JSON: {"text":"..."}. Parse before updating UI.
            UE_LOG(LogTemp, Log, TEXT("%s"), *Response->GetContentAsString());
        });
    if (!Request->ProcessRequest()) {
        UE_LOG(LogTemp, Warning, TEXT("AI request could not start"));
    }
}

// Unity 2022.3+ / Unity 6
// StartCoroutine(Chat(backendOrigin, userSessionToken, "Hello"));

using System;
using System.Collections;
using System.Text;
using UnityEngine;
using UnityEngine.Networking;

public class AIClient : MonoBehaviour
{
    [Serializable] class ChatRequest { public string prompt; }
    [Serializable] class ChatResponse { public string text; }

    // Use a user session token, never embed the gateway API key.
    public IEnumerator Chat(string backendOrigin, string sessionToken, string prompt)
    {
        var json = JsonUtility.ToJson(new ChatRequest { prompt = prompt });
        using var request = new UnityWebRequest(
            backendOrigin.TrimEnd('/') + "/api/ai/chat", "POST");
        request.uploadHandler = new UploadHandlerRaw(Encoding.UTF8.GetBytes(json));
        request.downloadHandler = new DownloadHandlerBuffer();
        request.SetRequestHeader("Content-Type", "application/json");
        request.SetRequestHeader("Authorization", "Bearer " + sessionToken);
        request.timeout = 30;
        yield return request.SendWebRequest();
        if (request.result != UnityWebRequest.Result.Success) {
            Debug.LogWarning($"AI request failed: {request.responseCode}");
            yield break;
        }
        var reply = JsonUtility.FromJson<ChatResponse>(request.downloadHandler.text);
        Debug.Log(reply.text);
    }
}

// Cocos Creator 3.8
// await chat(backendOrigin, userSessionToken, "Hello");

// Call the authenticated business backend with a user session.
export function chat(origin: string, session: string, prompt: string): Promise<string> {
  return new Promise((resolve, reject) => {
    const xhr = new XMLHttpRequest();
    xhr.open('POST', origin.replace(/\/+$/, '') + '/api/ai/chat');
    xhr.setRequestHeader('Content-Type', 'application/json');
    xhr.setRequestHeader('Authorization', 'Bearer ' + session);
    xhr.timeout = 30000;
    xhr.onerror = () => reject(new Error('Network error'));
    xhr.ontimeout = () => reject(new Error('Request timed out'));
    xhr.onabort = () => reject(new Error('Request cancelled'));
    xhr.onload = () => {
      if (xhr.status !== 200) {
        reject(new Error('HTTP ' + xhr.status));
        return;
      }
      try {
        const data = JSON.parse(xhr.responseText);
        if (typeof data.text !== 'string') throw new Error('Invalid response');
        resolve(data.text);
      } catch (error) { reject(error); }
    };
    xhr.send(JSON.stringify({ prompt }));
  });
}

pip install openai
# Server environment: OPENAI_API_KEY, OPENAI_BASE_URL, OPENAI_MODEL
# OPENAI_BASE_URL = your gateway origin + /v1

import os
from openai import OpenAI, APIError

# Run on a trusted server. Do not distribute credentials with an app.
with OpenAI(
    api_key=os.environ['OPENAI_API_KEY'],
    base_url=os.environ['OPENAI_BASE_URL'],
    timeout=30.0,
) as client:
    try:
        result = client.chat.completions.create(
            model=os.environ['OPENAI_MODEL'],
            messages=[{'role': 'user', 'content': 'Hello'}],
        )
        print(result.choices[0].message.content)
    except APIError as error:
        print(f'Request failed: {type(error).__name__}')

dotnet new console -n GatewayDemo
# Server environment: OPENAI_API_KEY, OPENAI_BASE_URL, OPENAI_MODEL

using System.Net.Http.Headers;
using System.Net.Http.Json;

static string Required(string key) =>
    Environment.GetEnvironmentVariable(key)
    ?? throw new InvalidOperationException($"Missing {key}");

// Trusted server example; use your business backend for desktop apps.
using var client = new HttpClient { Timeout = TimeSpan.FromSeconds(30) };
client.DefaultRequestHeaders.Authorization =
    new AuthenticationHeaderValue("Bearer", Required("OPENAI_API_KEY"));
var endpoint = Required("OPENAI_BASE_URL").TrimEnd('/') + "/chat/completions";
using var response = await client.PostAsJsonAsync(endpoint, new {
    model = Required("OPENAI_MODEL"),
    messages = new[] { new { role = "user", content = "Hello" } }
});
response.EnsureSuccessStatusCode();
Console.WriteLine(await response.Content.ReadAsStringAsync());

go mod init gateway-demo
# Server environment: OPENAI_API_KEY, OPENAI_BASE_URL, OPENAI_MODEL

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "log"
    "net/http"
    "os"
    "strings"
    "time"
)

func main() {
    key, base, model := os.Getenv("OPENAI_API_KEY"), os.Getenv("OPENAI_BASE_URL"), os.Getenv("OPENAI_MODEL")
    if key == "" || base == "" || model == "" { log.Fatal("Missing server environment") }
    body, err := json.Marshal(map[string]any{
        "model": model,
        "messages": []map[string]string{{"role": "user", "content": "Hello"}},
    })
    if err != nil { log.Fatal(err) }
    req, err := http.NewRequest(http.MethodPost, strings.TrimRight(base, "/")+"/chat/completions", bytes.NewReader(body))
    if err != nil { log.Fatal(err) }
    req.Header.Set("Authorization", "Bearer "+key)
    req.Header.Set("Content-Type", "application/json")
    client := &http.Client{Timeout: 30 * time.Second}
    resp, err := client.Do(req)
    if err != nil { log.Fatal(err) }
    defer resp.Body.Close()
    if resp.StatusCode != http.StatusOK { log.Fatalf("HTTP %d", resp.StatusCode) }
    data, err := io.ReadAll(io.LimitReader(resp.Body, 4<<20))
    if err != nil { log.Fatal(err) }
    fmt.Println(string(data))
}

npm install openai express
# Server environment: OPENAI_API_KEY, OPENAI_BASE_URL, OPENAI_MODEL
# Integrate with an existing app and its requireUserSession middleware.

import express from 'express';
import OpenAI from 'openai';
// Project integration: implement session validation before using this route.
// Reject unauthenticated requests; enforce per-user quotas and rate limits.
// For browser cookies, also enforce CSRF/origin checks.
import { requireUserSession } from './middleware/session.mjs';

for (const key of ['OPENAI_API_KEY', 'OPENAI_BASE_URL', 'OPENAI_MODEL']) {
  if (!process.env[key]) throw new Error(`Missing ${key}`);
}
const client = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY,
  baseURL: process.env.OPENAI_BASE_URL,
  timeout: 25000,
  maxRetries: 0,
});
export const aiRouter = express.Router();
// Mount with app.use(aiRouter). This is YOUR route, not a gateway endpoint.
aiRouter.post('/api/ai/chat', requireUserSession, express.json({ limit: '16kb' }), async (req, res) => {
  const prompt = req.body?.prompt;
  if (typeof prompt !== 'string' || !prompt.trim() || prompt.length > 4000) {
    return res.status(400).json({ error: 'Invalid prompt' });
  }
  try {
    const result = await client.chat.completions.create({
      model: process.env.OPENAI_MODEL,
      messages: [{ role: 'user', content: prompt }],
      max_tokens: 512,
    });
    res.set('Cache-Control', 'no-store');
    return res.json({ text: result.choices[0]?.message?.content ?? '' });
  } catch {
    return res.status(502).json({ error: 'AI service unavailable' });
  }
});

// Use in your React event handler or Vue action.
// Requires the /api/ai/chat business route shown above.
// Same-origin authenticated session cookie + server-side CSRF validation.

// Never expose OPENAI_API_KEY via VITE_* or NEXT_PUBLIC_* variables.
export async function chat(prompt: string, csrfToken: string): Promise<string> {
  const controller = new AbortController();
  const timeout = setTimeout(() => controller.abort(), 30000);
  try {
    const response = await fetch('/api/ai/chat', {
      method: 'POST',
      credentials: 'same-origin',
      headers: {
        'Content-Type': 'application/json',
        'X-CSRF-Token': csrfToken,
      },
      body: JSON.stringify({ prompt }),
      signal: controller.signal,
    });
    if (!response.ok) throw new Error(`HTTP ${response.status}`);
    const data = await response.json();
    if (typeof data.text !== 'string') throw new Error('Invalid response');
    return data.text;
  } finally {
    clearTimeout(timeout);
  }
}