Reka AI

Portkey provides a robust and secure gateway to facilitate the integration of various Large Language Models (LLMs) into your applications, including Reka AI.

With Portkey, you can take advantage of features like fast AI gateway access, observability, prompt management, and more, all while ensuring the secure management of your LLM API keys through a virtual key system.

Provider Slug: reka

Portkey SDK Integration with Reka Models

Portkey provides a consistent API to interact with models from various providers. To integrate Reka with Portkey:

1. Install the Portkey SDK

Add the Portkey SDK to your application to interact with Reka AI's API through Portkey's gateway.

NodeJS

npm install --save portkey-ai

Python

pip install portkey-ai

2. Initialize Portkey with the Virtual Key

To use Reka AI with Portkey, get your API key from here, then add it to Portkey to create the virtual key.

NodeJS SDK

import Portkey from 'portkey-ai'
 
const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY", // defaults to process.env["PORTKEY_API_KEY"]
    virtualKey: "VIRTUAL_KEY" // Your Reka AI Virtual Key
})

Python SDK

from portkey_ai import Portkey

portkey = Portkey(
    api_key="PORTKEY_API_KEY",  # Replace with your Portkey API key
    virtual_key="VIRTUAL_KEY"   # Replace with your virtual key for Reka AI
)

3. Invoke Chat Completions with Reka AI

Use the Portkey instance to send requests to Reka AI. You can also override the virtual key directly in the API call if needed.

NodeJS SDK

const chatCompletion = await portkey.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
    model: 'reka-core',
});

console.log(chatCompletion.choices);

Python SDK

completion = portkey.chat.completions.create(
    messages= [{ "role": 'user', "content": 'Say this is a test' }],
    model= 'reka-core'
)

print(completion)

Managing Reka Prompts

You can manage all prompts to Reka in the Prompt Library. All the current models of Reka are supported and you can easily start testing different prompts.

Once you're ready with your prompt, you can use the portkey.prompts.completions.create interface to use the prompt in your application.

Supported Models

Model Name	Model String to Use in API calls
Core	reka-core, reka-core-20240415
Edge	reka-edge, reka-edge-20240208
Flash	reka-flash, reka-flash-20240226

The complete list of features supported in the SDK are available on the link below.

SDK

You'll find more information in the relevant sections:

1. Add metadata to your requests

2. Add gateway configs to your Reka requests

3. Tracing Reka requests

4. Setup a fallback from OpenAI to Reka APIs