Uç Noktalar ve Parametre Referansı

curl https://api.vangu.dev/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer vgu_live_sample_token_67b8a901" \
  -d '{
    "model": "gpt-5.6-terra",
    "messages": [
      {"role": "system", "content": "Sen Vangu altyapı asistanısın."},
      {"role": "user", "content": "Paket kotam ne zaman yenilenir?"}
    ],
    "temperature": 0.5
  }'

{
  "id": "chatcmpl_98a76f21bc",
  "object": "chat.completion",
  "created": 1788796800,
  "model": "gpt-5.6-terra",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Günlük paketinizin istek kotası her gece saat tam 00.00'da sıfırlanarak yenilenir."
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 19,
    "completion_tokens": 22,
    "total_tokens": 41
  }
}

data: {"id":"chatcmpl_98a76","choices":[{"delta":{"role":"assistant","content":"Günlük"}}]}
data: {"id":"chatcmpl_98a76","choices":[{"delta":{"content":" paketinizin"}}]}
data: {"id":"chatcmpl_98a76","choices":[{"delta":{"content":" kotası..."}}]}
data: [DONE]

curl https://api.vangu.dev/anthropic/v1/messages \
  -H "Content-Type: application/json" \
  -H "x-api-key: vgu_live_sample_token_67b8a901" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "gpt-5.6-sol",
    "max_tokens": 1024,
    "system": "Sen kıdemli bir TypeScript yazılım mimarısın.",
    "messages": [
      {"role": "user", "content": "Event loop ve Worker thread farkını özetle."}
    ]
  }'

{
  "id": "msg_01XyZ987654321",
  "type": "message",
  "role": "assistant",
  "model": "gpt-5.6-sol",
  "content": [
    {
      "type": "text",
      "text": "Event Loop tek iş parçacığı üzerinde I/O operasyonlarını asenkron yönetirken, Worker Thread\'ler CPU yoğun hesaplamaları ayrı işletim sistemi iş parçacıklarına dağıtır."
    }
  ],
  "stop_reason": "end_turn",
  "usage": {
    "input_tokens": 28,
    "output_tokens": 36
  }
}

# Second turn after your application executes the function:
response = client.responses.create(
    model="gpt-5.6-terra",
    store=False,
    input=[
        *first_input,
        *first_response.output,
        {"type": "function_call_output", "call_id": call.call_id,
         "output": '{"accepted": true}'}
    ],
    tools=tools
)

curl https://api.vangu.dev/v1/responses \
  -H "Authorization: Bearer YOUR_VANGU_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-5.6-sol","input":"Explain this function.","stream":true}'

curl https://api.vangu.dev/codex/v1/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer vgu_live_sample_token_67b8a901" \
  -d '{
    "model": "gpt-5.6-sol",
    "prompt": "function verifyHmacSignature(secret: string, payload: string, signature: string): boolean {\n",
    "max_tokens": 128,
    "temperature": 0.1,
    "stop": ["\n}"]
  }'

{
  "id": "cmpl_78a1b2c3d4",
  "object": "text_completion",
  "created": 1788796800,
  "model": "gpt-5.6-sol",
  "choices": [
    {
      "text": "  const expected = crypto.createHmac(\'sha256\', secret).update(payload).digest(\'hex\');\n  return crypto.timingSafeEqual(Buffer.from(signature), Buffer.from(expected));",
      "index": 0,
      "finish_reason": "stop"
    }
  ]
}

curl https://api.vangu.dev/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer vgu_live_sample_token_67b8a901" \
  -d '{
    "model": "gpt-image-2.5",
    "mode": "sunburst",
    "prompt": "Modern bir bulut bilişim veri merkezi, mavi neon aydınlatmalar, minimalist ve sinematik 8k render",
    "size": "1024x1024",
    "quality": "high",
    "response_format": "url",
    "n": 1
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.vangu.dev/v1",
    api_key="vgu_live_sample_token_67b8a901"
)

# 1. Hızlı Üretim (gpt-image-2 veya 2.5-flare)
response = client.images.generate(
    model="gpt-image-2.5-flare",
    prompt="Cyberpunk sokağında parlayan neon tabelalar ve yağmurlu asfalt yansımaları",
    n=1,
    size="1024x1024",
    response_format="url"
)
print("Üretilen Görsel URL:", response.data[0].url)

curl https://api.vangu.dev/v1/images/edits \
  -H "Authorization: Bearer vgu_live_sample_token_67b8a901" \
  -F image="@giris_resmi.png" \
  -F prompt="Arka plana gün batımı ve sıcak altın tonlarında ışıklandırma ekle" \
  -F model="gpt-image-2.5-sunburst" \
  -F response_format="url" \
  -F n="1"

from openai import OpenAI

client = OpenAI(
    base_url="https://api.vangu.dev/v1",
    api_key="vgu_live_sample_token_67b8a901"
)

# Görsel Düzenleme / Inpainting (Sunburst hassasiyet modu)
edited = client.images.edit(
    image=open("giris_resmi.png", "rb"),
    prompt="Karakterin ceketine reflektörlü neon desenler ekle",
    model="gpt-image-2.5-sunburst",
    n=1,
    size="1024x1024",
    response_format="url"
)
print("Düzenlenen Görsel:", edited.data[0].url)

{
  "created": 1788796800,
  "data": [
    {
      "url": "https://assets.vangu.dev/generated/img_89a7f3e1b2c4.png",
      "revised_prompt": "Minimalist cloud data center, cinematic blue lighting, hyperrealistic architectural photography"
    }
  ]
}

curl https://api.vangu.dev/v1/models \
  -H "Authorization: Bearer vgu_live_sample_token_67b8a901"

{
  "error": {
    "message": "Günlük paket kotanız doldu. Kota her gece 00.00'da sıfırlanır.",
    "type": "insufficient_quota",
    "code": "daily_quota_exceeded",
    "reset_timestamp": 1788825600
  }
}