Nebius

Portkey provides a robust and secure gateway to facilitate the integration of various Large Language Models (LLMs) into your applications, including Nebius AI.

With Portkey, you can take advantage of features like fast AI gateway access, observability, prompt management, and more, all while ensuring the secure management of your LLM API keys through a virtual key system.

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Portkey SDK Integration with Nebius AI Models

Portkey provides a consistent API to interact with models from various providers. To integrate Nebius AI with Portkey:

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1. Install the Portkey SDK

Add the Portkey SDK to your application to interact with Nebius AI’s API through Portkey’s gateway.

npm install --save portkey-ai

npm install --save portkey-ai

pip install portkey-ai

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2. Initialize Portkey with the Virtual Key

To use Nebius AI with Portkey, get your API key from here, then add it to Portkey to create the virtual key.

import Portkey from 'portkey-ai'

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY", // defaults to process.env["PORTKEY_API_KEY"]
    virtualKey: "VIRTUAL_KEY" // Your Nebius Virtual Key
})

import Portkey from 'portkey-ai'

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY", // defaults to process.env["PORTKEY_API_KEY"]
    virtualKey: "VIRTUAL_KEY" // Your Nebius Virtual Key
})

from portkey_ai import Portkey

portkey = Portkey(
    api_key="PORTKEY_API_KEY",  # Replace with your Portkey API key
    virtual_key="VIRTUAL_KEY"   # Replace with your virtual key for Nebius
)

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3. Invoke Chat Completions with Nebius AI

Use the Portkey instance to send requests to Nebius AI. You can also override the virtual key directly in the API call if needed.

const chatCompletion = await portkey.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
    model: 'deepseek-ai/DeepSeek-V3',
});

console.log(chatCompletion.choices);d

const chatCompletion = await portkey.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
    model: 'deepseek-ai/DeepSeek-V3',
});

console.log(chatCompletion.choices);d

completion = portkey.chat.completions.create(
    messages= [{ "role": 'user', "content": 'Say this is a test' }],
    model= 'deepseek-ai/DeepSeek-V3'
)

print(completion)

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Managing Nebius AI Prompts

You can manage all prompts to Nebius AI in the Prompt Studio. All the current models of Nebius AI are supported and you can easily start testing different prompts.

Once you’re ready with your prompt, you can use the portkey.prompts.completions.create interface to use the prompt in your application.

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Supported Models

The complete list of features supported in the SDK are available on the link below.

You’ll find more information in the relevant sections:

1. Add metadata to your requests
2. Add gateway configs to your Nebius
3. Tracing Nebius requests
4. Setup a fallback from OpenAI to Nebius APIs