> ## 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 Prisma AIRS AI Gateway for serverless AI inference.

## Quick Start

Get started with Workers AI in under 2 minutes:

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

curl https://aigw.portkey.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $PORTKEY_API_KEY" \
  -d '{
    "model": "@workers-ai/@cf/meta/llama-3.2-3b-instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
```

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

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

client = OpenAI(
    api_key="PORTKEY_API_KEY",  # AI Gateway API key
    base_url="https://aigw.portkey.ai/v1"
)

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"

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

const client = new OpenAI({
    apiKey: "PORTKEY_API_KEY",  // AI Gateway API key
    baseURL: "https://aigw.portkey.ai/v1"
})

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)
```

## Add Provider in Model Catalog

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

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

> **[Complete Setup Guide](https://docs.portkey.ai/docs/aigw/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:

***

## 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

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

> **[Observability](https://docs.portkey.ai/docs/aigw/product/observability.md)**
>
> Monitor and trace your Workers AI requests

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


## Related topics

- [Enterprise Gateway](https://docs.portkey.ai/docs/changelog/enterprise.md)
- [Prisma AIRS AI Gateway Models](https://docs.portkey.ai/docs/aigw/product/model-catalog/gateway-models.md)
- [Overview](https://docs.portkey.ai/docs/aigw/integrations/llms.md)
- [Supported Providers](https://docs.portkey.ai/docs/aigw/api-reference/inference-api/supported-providers.md)
- [Put integrations by slug](https://docs.portkey.ai/docs/aigw/api-reference/integrations/put-integrations-by-slug.md)


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