> ## Documentation Index
> Fetch the complete documentation index at: https://portkey-docs-add-third-party-integration-issues-fixes.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Nebius

Portkey provides a robust and secure gateway to facilitate the integration of various Large Language Models (LLMs) into your applications, including [Nebius AI](https://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](/product/ai-gateway/virtual-keys) system.

<Note>
  Provider Slug.   `nebius`
</Note>

## 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:

### 1. Install the Portkey SDK

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

<Tabs>
  <Tab title="NodeJS">
    ```sh theme={null}
    npm install --save portkey-ai
    ```
  </Tab>

  <Tab title="Python">
    ```sh theme={null}
    pip install portkey-ai
    ```
  </Tab>
</Tabs>

### 2. Initialize Portkey with the Virtual Key

To use Nebius AI with Portkey, [get your API key from here](https://studio.nebius.com/settings/api-keys), then add it to Portkey to create the virtual key.

<Tabs>
  <Tab title="NodeJS SDK">
    ```js theme={null}
    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
    })
    ```
  </Tab>

  <Tab title="Python SDK">
    ```python theme={null}
    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
    )
    ```
  </Tab>
</Tabs>

### 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.

<Tabs>
  <Tab title="NodeJS SDK">
    ```js theme={null}
    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
    ```
  </Tab>

  <Tab title="Python SDK">
    ```python theme={null}
    completion = portkey.chat.completions.create(
        messages= [{ "role": 'user', "content": 'Say this is a test' }],
        model= 'deepseek-ai/DeepSeek-V3'
    )

    print(completion)
    ```
  </Tab>
</Tabs>

## Managing Nebius AI Prompts

You can manage all prompts to Nebius AI in the [Prompt Studio](/product/prompt-library). 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.

## Supported Models

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

<Card title="SDK" href="/api-reference/portkey-sdk-client" />

You'll find more information in the relevant sections:

1. [Add metadata to your requests](/product/observability/metadata)
2. [Add gateway configs to your Nebius](/product/ai-gateway/configs)
3. [Tracing Nebius requests](/product/observability/traces)
4. [Setup a fallback from OpenAI to Nebius APIs](/product/ai-gateway/fallbacks)