> ## Documentation Index
> Fetch the complete documentation index at: https://docs.portkey.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Nscale (EU Sovereign)

> Use Nscale's EU-based sovereign AI infrastructure through Portkey for compliant model deployment.

## Quick Start

Get started with Nscale in under 2 minutes:

```python Python icon="python" theme={"system"}
from portkey_ai import Portkey

# 1. Install: pip install portkey-ai
# 2. Add @nscale provider in model catalog
# 3. Use it:

portkey = Portkey(api_key="PORTKEY_API_KEY")

response = portkey.chat.completions.create(
    model="@nscale/meta-llama/Llama-4-Scout-17B-16E-Instruct",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)
```

```js Javascript icon="square-js" theme={"system"}
import Portkey from 'portkey-ai'

// 1. Install: npm install portkey-ai
// 2. Add @nscale provider in model catalog
// 3. Use it:

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY"
})

const response = await portkey.chat.completions.create({
    model: "@nscale/meta-llama/Llama-4-Scout-17B-16E-Instruct",
    messages: [{ role: "user", content: "Hello!" }]
})

console.log(response.choices[0].message.content)
```

```python OpenAI Py icon="python" theme={"system"}
from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL

# 1. Install: pip install openai portkey-ai
# 2. Add @nscale provider in model catalog
# 3. Use it:

client = OpenAI(
    api_key="PORTKEY_API_KEY",  # Portkey API key
    base_url=PORTKEY_GATEWAY_URL
)

response = client.chat.completions.create(
    model="@nscale/meta-llama/Llama-4-Scout-17B-16E-Instruct",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)
```

```js OpenAI JS icon="square-js" theme={"system"}
import OpenAI from "openai"
import { PORTKEY_GATEWAY_URL } from "portkey-ai"

// 1. Install: npm install openai portkey-ai
// 2. Add @nscale provider in model catalog
// 3. Use it:

const client = new OpenAI({
    apiKey: "PORTKEY_API_KEY",  // Portkey API key
    baseURL: PORTKEY_GATEWAY_URL
})

const response = await client.chat.completions.create({
    model: "@nscale/meta-llama/Llama-4-Scout-17B-16E-Instruct",
    messages: [{ role: "user", content: "Hello!" }]
})

console.log(response.choices[0].message.content)
```

```sh cURL icon="square-terminal" theme={"system"}
# 1. Add @nscale provider in model catalog
# 2. Use it:

curl https://api.portkey.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -d '{
    "model": "@nscale/meta-llama/Llama-4-Scout-17B-16E-Instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
```

## Add Provider in Model Catalog

Before making requests, add Nscale to your Model Catalog:

1. Go to [**Model Catalog → Add Provider**](https://app.portkey.ai/model-catalog/providers)
2. Select **Nscale**
3. Enter your [Nscale API key](https://console.nscale.com)
4. Name your provider (e.g., `nscale`)

> [card] [Complete Setup Guide](https://docs.portkey.ai/docs/product/model-catalog.md)
>
> See all setup options and detailed configuration instructions

***

## Nscale Capabilities

### Chat Completions

Generate chat completions with EU-sovereign infrastructure:

```python Python theme={"system"}
from portkey_ai import Portkey

portkey = Portkey(api_key="PORTKEY_API_KEY", provider="@nscale")

response = portkey.chat.completions.create(
    model="meta-llama/Llama-4-Scout-17B-16E-Instruct",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)
```

```javascript Node.js theme={"system"}
import Portkey from 'portkey-ai';

const portkey = new Portkey({
    apiKey: 'PORTKEY_API_KEY',
    provider: '@nscale'
});

const response = await portkey.chat.completions.create({
    model: "meta-llama/Llama-4-Scout-17B-16E-Instruct",
    messages: [{ role: "user", content: "Hello!" }]
});

console.log(response.choices[0].message.content);
```

### Image Generation

Generate images with Stable Diffusion on EU infrastructure:

```python Python theme={"system"}
from portkey_ai import Portkey

portkey = Portkey(api_key="PORTKEY_API_KEY", provider="@nscale")

image = portkey.images.generate(
    model="stabilityai/stable-diffusion-xl-base-1.0",
    prompt="A beautiful sunset over mountains",
    size="1024x1024"
)

print(image.data[0].url)
```

```javascript Node.js theme={"system"}
import Portkey from 'portkey-ai';

const portkey = new Portkey({
    apiKey: 'PORTKEY_API_KEY',
    provider: '@nscale'
});

const image = await portkey.images.generate({
    model: "stabilityai/stable-diffusion-xl-base-1.0",
    prompt: "A beautiful sunset over mountains",
    size: "1024x1024"
});

console.log(image.data[0].url);
```

***

## Supported Models

Nscale provides EU-sovereign AI infrastructure for various models:

Check [Nscale's documentation](https://docs.nscale.com/) for the complete model list.

***

## Next Steps

> [card] [Gateway Configs](https://docs.portkey.ai/docs/product/ai-gateway.md)
>
> Add fallbacks, load balancing, and more

> [card] [Observability](https://docs.portkey.ai/docs/product/observability.md)
>
> Monitor and trace your Nscale requests

> [card] [Prompt Library](https://docs.portkey.ai/docs/product/prompt-engineering-studio.md)
>
> Manage and version your prompts

> [card] [Metadata](https://docs.portkey.ai/docs/product/observability/metadata.md)
>
> Add custom metadata to requests

For complete SDK documentation:

> [card] [SDK Reference](https://docs.portkey.ai/docs/api-reference/sdk/list.md)
>
> Complete Portkey SDK documentation

***

> [card] [Portkey is now PRISMA AIRS AI Gateway. See it in action.](https://www.paloaltonetworks.in/ai-security/ai-gateway?utm_source=portkey\&utm_medium=referral\&utm_campaign=prisma_airs\&utm_content=docs_nav#contact)
>
> Contact Us


## Related topics

- [Conditional Routing](https://docs.portkey.ai/docs/product/ai-gateway/conditional-routing.md)
- [Postman MCP server](https://docs.portkey.ai/docs/integrations/mcp-servers/postman-mcp-server.md)
- [Combining Routing Strategies: Conditional, Load Balancing & Fallbacks](https://docs.portkey.ai/docs/guides/use-cases/combining-routing-strategies.md)
- [BytePlus ModelArk](https://docs.portkey.ai/docs/integrations/llms/byteplus.md)
- [OpenClaw](https://docs.portkey.ai/docs/integrations/libraries/openclaw.md)


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