从首行请求到生产级高并发流量，为您准备好一切

# 1. Install official OpenAI SDK: pip install openai
from openai import OpenAI

# 2. Point base_url to BatchIn Inference Cloud
client = OpenAI(
    api_key="sk-batchin-live-test-key",
    base_url="https://api.batchin.ai/v1",
    default_headers={
        "X-VaaS-Anchor": "true",  # Base L2 Merkle proof commitment
        "X-Agent-Run-Id": "run_live_demo_01",  # Multi-step session tracking
        "X-Agent-Max-Budget": "1.50",  # Hard spend ceiling ($1.50 cap)
    }
)

# 3. Dispatch inference with instant 100% compatibility
response = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V4-Pro",
    messages=[
        {"role": "system", "content": "You are a senior Silicon Valley AI infrastructure architect."},
        {"role": "user", "content": "Explain why VaaS cryptographic receipts prevent enterprise AI vendor repudiation."}
    ],
    temperature=0.2,
    stream=True,
)

for chunk in response:
    content = chunk.choices[0].delta.content
    if content:
        print(content, end="", flush=True)