استریم پاسخ (SSE)

curl -N https://api.uttapen.ir/v1/chat/completions \
  -H "Authorization: Bearer $UTTAPEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/gpt-5-mini","messages":[{"role":"user","content":"سلام"}],"stream":true}'

: processing

data: {"id":"gen-2ebb2e50a57ff83a","object":"chat.completion.chunk","model":"openai/gpt-5-mini","choices":[{"index":0,"delta":{"role":"assistant","content":"سلام"},"finish_reason":null}]}

data: {"id":"gen-2ebb2e50a57ff83a","object":"chat.completion.chunk","model":"openai/gpt-5-mini","choices":[{"index":0,"delta":{"content":"، چطور"},"finish_reason":null}]}

data: {"id":"gen-2ebb2e50a57ff83a","object":"chat.completion.chunk","model":"openai/gpt-5-mini","choices":[{"index":0,"delta":{},"finish_reason":"stop"}],"usage":{"prompt_tokens":10,"completion_tokens":24,"total_tokens":34}}

data: [DONE]

data: {"id":"gen-2ebb2e50a57ff83a","object":"uttapen.meta","cost_toman":"6.659688","balance_toman":"97557.754121","hold_toman":"100.000000"}

from openai import OpenAI

client = OpenAI(base_url="https://api.uttapen.ir/v1", api_key="sk-up-...")

stream = client.chat.completions.create(
    model="openai/gpt-5-mini",
    messages=[{"role": "user", "content": "یک شعر کوتاه دربارهٔ Postgres بگو."}],
    stream=True,
    extra_headers={"X-Uttapen-Include-Meta": "1"},
)
for chunk in stream:
    if chunk.object == "uttapen.meta":
        print("\nهزینه:", chunk.model_extra["cost_toman"], "تومان")
        continue
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)
    if chunk.usage:
        print("\nتوکن خروجی:", chunk.usage.completion_tokens)

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.uttapen.ir/v1", apiKey: process.env.UTTAPEN_API_KEY });

const stream = await client.chat.completions.create(
  {
    model: "openai/gpt-5-mini",
    messages: [{ role: "user", content: "یک شعر کوتاه دربارهٔ Postgres بگو." }],
    stream: true,
  },
  { headers: { "X-Uttapen-Include-Meta": "1" } },
);

for await (const chunk of stream) {
  if (chunk.object === "uttapen.meta") {
    console.log("\nهزینه:", chunk.cost_toman, "تومان");
    continue;
  }
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

// app/api/chat/route.ts
export const runtime = "nodejs";

export async function POST(req: Request) {
  const { messages } = await req.json();
  const upstream = await fetch("https://api.uttapen.ir/v1/chat/completions", {
    method: "POST",
    headers: {
      Authorization: `Bearer ${process.env.UTTAPEN_API_KEY}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({ model: "openai/gpt-5-mini", messages, stream: true }),
  });
  return new Response(upstream.body, {
    status: upstream.status,
    headers: { "Content-Type": "text/event-stream", "Cache-Control": "no-cache", "X-Accel-Buffering": "no" },
  });
}

Route::post('/chat', function (Request $request) {
    return response()->stream(function () use ($request) {
        $res = (new \GuzzleHttp\Client())->post('https://api.uttapen.ir/v1/chat/completions', [
            'headers' => ['Authorization' => 'Bearer ' . config('services.uttapen.key')],
            'json' => ['model' => 'openai/gpt-5-mini', 'messages' => $request->input('messages'), 'stream' => true],
            'stream' => true,
        ]);
        $body = $res->getBody();
        while (!$body->eof()) {
            echo $body->read(1024);
            if (ob_get_level() > 0) ob_flush();
            flush();
        }
    }, 200, ['Content-Type' => 'text/event-stream', 'Cache-Control' => 'no-cache', 'X-Accel-Buffering' => 'no']);
});