Deepinfra

Portkey provides a robust and secure gateway to facilitate the integration of various Large Language Models (LLMs) into your applications, including the models hosted on Deepinfra API.

​

Portkey SDK Integration with Deepinfra Models

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

​

1. Install the Portkey SDK

Add the Portkey SDK to your application to interact with Mistral AI’s API through Portkey’s gateway.

• NodeJS
• Python

npm install --save portkey-ai

​

2. Initialize Portkey with the Virtual Key

To use Deepinfra with Virtual Key, get your API key from here. Then add it to Portkey to create the virtual key

• NodeJS SDK
• Python 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 Deepinfra Virtual Key
})

​

3. Invoke Chat Completions

• NodeJS SDK
• Python SDK

const chatCompletion = await portkey.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
    model: 'nvidia/Nemotron-4-340B-Instruct',
});

console.log(chatCompletion.choices);

​

Supported Models

Here’s the list of all the Deepinfra models you can route to using Portkey -

​

Next Steps

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

You’ll find more information in the relevant sections:

1. Add metadata to your requests
2. Add gateway configs to your Deepinfra requests
3. Tracing Deepinfra requests
4. Setup a fallback from OpenAI to Deepinfra