%%capture

!pip install -q "llama-index-llms-nebius==0.3.0" "python-dotenv>=1,<2"

import os, sys

## Recommended way of getting configuration
if os.getenv("COLAB_RELEASE_TAG"):
   print("Running in Colab")
   from google.colab import userdata
   NEBIUS_API_KEY = userdata.get('NEBIUS_API_KEY')
else:
   print("NOT running in Colab")
   from dotenv import load_dotenv
   this_dir = os.path.abspath('')
   parent_dir = os.path.dirname(this_dir)
   sys.path.append (os.path.abspath (parent_dir))
   load_dotenv()
   NEBIUS_API_KEY = os.getenv('NEBIUS_API_KEY')

## quick hack (not recommended) - you can hardcode the config key here
# NEBIUS_API_KEY = "your_key_here"

NEBIUS_BASE_URL = "https://api.tokenfactory.nebius.com/v1/"
NEBIUS_MODEL = os.getenv("NEBIUS_MODEL", "openai/gpt-oss-120b").strip()

if NEBIUS_API_KEY:
  print ('✅ NEBIUS_API_KEY found')
  os.environ['NEBIUS_API_KEY'] = NEBIUS_API_KEY
else:
  raise RuntimeError ('❌ NEBIUS_API_KEY NOT found')

%%time

from llama_index.llms.nebius import NebiusLLM

llm = NebiusLLM(
    model=NEBIUS_MODEL,
    api_key=NEBIUS_API_KEY,
    api_base=NEBIUS_BASE_URL,
    temperature=0.1,  # either set temperature or `top_p`
)

response = llm.complete("What is the capital of Netherlands?")


print ('----model answer -----')
print (response)
print ('---------')

Run models on Nebius Token Factory (via LlamaIndex API)¶

References and Acknowledgements¶

Prerequisites¶

1 - Install Dependencies¶

2 - Load Configuration¶

3 - Pick a Model¶

4 - Run the Model¶

5 - Try Your Queries¶