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.
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.
npm install --save 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.
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
})
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 Groq
)
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.
const chatCompletion = await portkey.chat.completions.create({
messages: [{ role: 'user', content: 'Say this is a test' }],
model: 'reka-core',
});
console.log(chatCompletion.choices);d
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 |
- Add metadata to your requests
- Add gateway configs to your Reka requests
- Tracing Reka requests
- Setup a fallback from OpenAI to Reka APIs
Last modified on January 31, 2026
