pip install openai

from openai import OpenAI

client = OpenAI(
    base_url="https://api.qubax.ai/v1",
    api_key="qbx_live_YOUR_API_KEY",
)

response = client.chat.completions.create(
    model="gpt-5.6-terra",
    messages=[
        {"role": "system", "content": "You are a helpful coding assistant."},
        {"role": "user", "content": "Write a Python function to merge two sorted lists"},
    ],
)

print(response.choices[0].message.content)

stream = client.chat.completions.create(
    model="gpt-5.6-terra",
    messages=[{"role": "user", "content": "Explain async/await in Python"}],
    stream=True,
)

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

tools = [
    {
        "type": "function",
        "function": {
            "name": "get_weather",
            "description": "Get weather for a city",
            "parameters": {
                "type": "object",
                "properties": {
                    "city": {"type": "string", "description": "City name"}
                },
                "required": ["city"],
            },
        },
    }
]

response = client.chat.completions.create(
    model="gpt-5.6-terra",
    messages=[{"role": "user", "content": "What's the weather in Tokyo?"}],
    tools=tools,
)

# The model will return a tool call — handle it and send results back
print(response.choices[0].message.tool_calls)

# Track your spending
tokens_in = response.usage.prompt_tokens     # e.g., 150
tokens_out = response.usage.completion_tokens  # e.g., 300

cost = (tokens_in * 0.0325 + tokens_out * 0.1950) / 1_000_000
print(f"This request cost: ${cost:.6f}")
# Output: This request cost: $0.000063

# GPT-5.6 Terra — cheapest
client.chat.completions.create(model="gpt-5.6-terra", messages=[...])

# Claude Sonnet 5 — best for coding
client.chat.completions.create(model="claude-sonnet-5", messages=[...])

# Grok 4.5 — from xAI
client.chat.completions.create(model="grok-4.5", messages=[...])