Python

pip install openai

from openai import OpenAI

client = OpenAI(
    api_key="nxvk_your_virtual_key",
    base_url="https://nexus.cirruslabs.technology/v1",
)

completion = client.chat.completions.create(
    model="claude-sonnet-4-6",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

stream = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Write a haiku about APIs"}],
    stream=True,
)

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

import asyncio
from openai import AsyncOpenAI

client = AsyncOpenAI(
    api_key="nxvk_your_virtual_key",
    base_url="https://nexus.cirruslabs.technology/v1",
)

async def main():
    completion = await client.chat.completions.create(
        model="gpt-4o",
        messages=[{"role": "user", "content": "Hello!"}],
    )
    print(completion.choices[0].message.content)

asyncio.run(main())

embedding = client.embeddings.create(
    model="text-embedding-3-small",
    input="Argus routes requests across providers",
)

print(len(embedding.data[0].embedding))  # 1536

from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    model="claude-sonnet-4-6",
    api_key="nxvk_your_virtual_key",
    base_url="https://nexus.cirruslabs.technology/v1",
)

response = llm.invoke("What is Argus?")
print(response.content)