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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.
Provider Slug. deepinfra

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Portkey SDK Integration with Deepinfra Models

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

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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

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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"]
    provider:"@PROVIDER" // Your Deepinfra Virtual Key
})

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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);

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Supported Models

Here’s the list of all the Deepinfra models you can route to using Portkey -
LogoModels | Machine Learning Inference | Deep InfraDeepInfra

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Next Steps

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 Deepinfra requests
  3. Tracing Deepinfra requests
  4. Setup a fallback from OpenAI to Deepinfra
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