LlamaIndex

from llama_index.llms import Neutrino
from llama_index.llms import ChatMessage
import os

os.environ["NEUTRINO_API_KEY"] = "<your-neutrino-api-key>"

llm = Neutrino(
    # api_key="<Neutrino-API-Key>",
    # router="your-neutrino-router-id",  # (or 'default')
)

message = ChatMessage(
    role="user",
    content="Explain the difference between statically typed and dynamically typed languages.",
)
resp = llm.chat([message])
print(f"Optimal model: {resp.raw['model']}")
print(resp)