> ## 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.

# Workers AI

> Use Cloudflare Workers AI models through Portkey for serverless AI inference.

## Quick Start

Get started with Workers AI in under 2 minutes:

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

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

portkey = Portkey(api_key="PORTKEY_API_KEY")

response = portkey.chat.completions.create(
    model="@workers-ai/@cf/meta/llama-3.2-3b-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 @workers-ai provider in model catalog
// 3. Use it:

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

const response = await portkey.chat.completions.create({
    model: "@workers-ai/@cf/meta/llama-3.2-3b-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 @workers-ai 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="@workers-ai/@cf/meta/llama-3.2-3b-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 @workers-ai 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: "@workers-ai/@cf/meta/llama-3.2-3b-instruct",
    messages: [{ role: "user", content: "Hello!" }]
})

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

```sh cURL icon="square-terminal" theme={"system"}
# 1. Add @workers-ai 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": "@workers-ai/@cf/meta/llama-3.2-3b-instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
```

## Add Provider in Model Catalog

Before making requests, add Workers AI to your Model Catalog:

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

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

***

## Workers AI Capabilities

### Image Generation

Workers AI supports image generation with various models:

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

portkey = Portkey(api_key="PORTKEY_API_KEY", provider="@workers-ai")

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

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

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

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

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

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

***

## Supported Models

Cloudflare Workers AI provides serverless AI inference with various models:

**Chat Models:**

* @cf/meta/llama-3.2-3b-instruct
* @cf/meta/llama-3.1-8b-instruct
* @cf/mistral/mistral-7b-instruct-v0.1

**Image Generation Models:**

* @cf/stabilityai/stable-diffusion-xl-base-1.0

Check [Cloudflare Workers AI documentation](https://developers.cloudflare.com/workers-ai/) 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 Workers AI requests

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

> [card] [Caching](https://docs.portkey.ai/docs/product/ai-gateway/cache-simple-and-semantic.md)
>
> Cache responses at the edge

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

- [Decisions](https://docs.portkey.ai/docs/product/ai-gateway/decisions-api.md)
- [Portkey Models](https://docs.portkey.ai/docs/product/model-catalog/portkey-models.md)
- [Enforcing Policies with Start Hooks](https://docs.portkey.ai/docs/product/administration/enforce-policies-with-start-hooks.md)
- [Overview](https://docs.portkey.ai/docs/integrations/llms.md)
- [July](https://docs.portkey.ai/docs/changelog/2026/july.md)


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