Dashboard

API Key

-

Bakiye

Hesap

Hizli Baslangic

API anahtarinizi alip herhangi bir OpenAI uyumlu SDK ile kullanabilirsiniz.

python

curl

API Anahtarlari

Mevcut API Anahtariniz

Bakiye

Kullanim

API anahtarinizi Authorization: Bearer sk-xxx header'i ile gonderin. Her istek bakiyenizden token kullanimina gore dusulur. Base URL: https://v2.recai.io/v1

API Dokumantasyonu

OpenAI uyumlu REST API. Mevcut SDK'larinizi dogrudan kullanabilirsiniz.

Base URL

https://v2.recai.io/v1

Kimlik Dogrulama

Tum isteklerde Authorization header'i gereklidir.

header
Authorization: Bearer sk-your-api-key

Endpoint'ler

Method	Endpoint	Aciklama
POST	/v1/chat/completions	Chat completions stream
GET	/v1/models	Kullanilabilir model listesi
GET	/api/balance/:keyid	Bakiye sorgulama

POST /v1/chat/completions

OpenAI uyumlu chat completions. Streaming ve non-streaming destekler.

Parametreler

Parametre	Tip	Zorunlu	Aciklama
`model`	string	Evet	Model adi (ornek: deepseek-chat)
`messages`	array	Evet	Mesaj dizisi [{role, content}]
`stream`	boolean	Hayir	SSE streaming etkinlestir
`temperature`	number	Hayir	Yaraticilik (0-2)
`top_p`	number	Hayir	Nucleus sampling
`max_tokens`	integer	Hayir	Maksimum cikti token sayisi
`stop`	string/array	Hayir	Durma dizisi
`timeout`	integer	Hayir	Zaman asimi (saniye)
`think`	boolean	Hayir	Derin dusunme modu
`deepsearch`	boolean	Hayir	Derin arama modu

Ornek Istek

                        python
                        
                    
from openai import OpenAI

client = OpenAI(
    base_url="https://v2.recai.io/v1",
    api_key="sk-your-api-key"
)

# Non-streaming
response = client.chat.completions.create(
    model="deepseek-chat",
    messages=[
        {"role": "system", "content": "Sen yardimci bir asistansin."},
        {"role": "user", "content": "Merhaba!"}
    ],
    temperature=0.7
)
print(response.choices[0].message.content)

# Streaming
stream = client.chat.completions.create(
    model="deepseek-chat",
    messages=[{"role": "user", "content": "Merhaba!"}],
    stream=True
)
for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

                        javascript
                        
                    
import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: 'https://v2.recai.io/v1',
    apiKey: 'sk-your-api-key'
});

const response = await client.chat.completions.create({
    model: 'deepseek-chat',
    messages: [{ role: 'user', content: 'Merhaba!' }]
});

console.log(response.choices[0].message.content);

                        curl
                        
                    
curl https://v2.recai.io/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-your-api-key" \
  -d '{
    "model": "deepseek-chat",
    "messages": [{"role": "user", "content": "Merhaba!"}],
    "temperature": 0.7
  }'

Ornek Yanit

json
{
  "id": "chatcmpl-1710000000000",
  "object": "chat.completion",
  "created": 1710000000,
  "model": "deepseek-chat",
  "choices": [{
    "index": 0,
    "message": {
      "role": "assistant",
      "content": "Merhaba! Size nasil yardimci olabilirim?"
    },
    "finish_reason": "stop"
  }],
  "usage": {
    "prompt_tokens": 12,
    "completion_tokens": 15,
    "total_tokens": 27
  }
}

Playground

API'yi dogrudan tarayicinizdan test edin.

Model

Temperature

System Prompt (opsiyonel)

Mesaj

Streaming

Yanit

Yanit burada gorunecek...