> ## 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:

<CodeGroup>
  ```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)
  ```
</CodeGroup>

## 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`)

<Card title="Complete Setup Guide" icon="book" href="/docs/aigw/product/model-catalog">
  See all setup options and detailed configuration instructions
</Card>

***

## 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

<CardGroup cols={2}>
  <Card title="Gateway Configs" icon="sliders" href="/docs/aigw/product/ai-gateway">
    Add fallbacks, load balancing, and more
  </Card>

  <Card title="Observability" icon="chart-line" href="/docs/aigw/product/observability">
    Monitor and trace your Workers AI requests
  </Card>

  <Card title="Caching" icon="database" href="/docs/aigw/product/ai-gateway/cache-simple-and-semantic">
    Cache responses at the edge
  </Card>
</CardGroup>


## Related topics

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