> ## 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.

# Reka AI

> Integrate Reka AI models with Prisma AIRS AI Gateway

The AI Gateway provides a robust and secure gateway to integrate various Large Language Models (LLMs) into applications, including [Reka AI's multimodal models](https://www.reka.ai/).

With the AI Gateway, take advantage of features like fast AI gateway access, observability, prompt management, and more, while securely managing API keys through [Model Catalog](/docs/aigw/product/model-catalog).

## Quick Start

Get Reka AI working in 3 steps:

<CodeGroup>
  ```sh cURL icon="square-terminal" theme={"system"}
  # 1. Add @reka 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": "@reka/reka-core",
      "messages": [
        { "role": "user", "content": "Say this is a test" }
      ]
    }'
  ```

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

  # 1. Install: pip install openai
  # 2. Add @reka 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="@reka/reka-core",
      messages=[{"role": "user", "content": "Say this is a test"}]
  )

  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 @reka 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: "@reka/reka-core",
      messages: [{ role: "user", content: "Say this is a test" }]
  })

  console.log(response.choices[0].message.content)
  ```
</CodeGroup>

<Note>
  **Tip:** You can also send `x-portkey-provider: @reka` as a header and use just `model="reka-core"` in the request.
</Note>

## Add Provider in Model Catalog

1. Go to [**Model Catalog → Add Provider**](https://stratacloudmanager.paloaltonetworks.com/)
2. Select **Reka AI**
3. Choose existing credentials or create new by entering your [Reka AI API key](https://platform.reka.ai/apikeys)
4. Name your provider (e.g., `reka-prod`)

<Card title="Complete Setup Guide →" href="/docs/aigw/product/model-catalog">
  See all setup options, code examples, and detailed instructions
</Card>

## Managing Reka AI Prompts

Manage all prompt templates to Reka AI in the Prompt Library. All current Reka AI models are supported, and you can easily test different prompts.

Call the `POST /v1/prompts/{promptId}/completions` endpoint to use the prompt in an application.

## Next Steps

<CardGroup cols={2}>
  <Card title="Add Metadata" icon="tags" href="/docs/aigw/product/observability/metadata">
    Add metadata to your Reka AI requests
  </Card>

  <Card title="Gateway Configs" icon="gear" href="/docs/aigw/product/ai-gateway/configs">
    Add gateway configs to your Reka AI requests
  </Card>

  <Card title="Tracing" icon="chart-line" href="/docs/aigw/product/observability/traces">
    Trace your Reka AI requests
  </Card>

  <Card title="Fallbacks" icon="arrow-rotate-left" href="/docs/aigw/product/ai-gateway/fallbacks">
    Setup fallback from OpenAI to Reka AI
  </Card>
</CardGroup>


## Related topics

- [Prisma AIRS AI Gateway Models](/docs/aigw/product/model-catalog/gateway-models.md)
- [Supported Providers](/docs/aigw/api-reference/inference-api/supported-providers.md)
- [Agno AI](/docs/aigw/integrations/agents/agno-ai.md)
- [Workers AI](/docs/aigw/integrations/llms/workers-ai.md)
- [Lepton AI](/docs/aigw/integrations/llms/lepton.md)