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On this page
  • Portkey SDK Integration with Groq Models
  • 1. Install the Portkey SDK
  • 2. Initialize Portkey with the Virtual Key
  • 3. Invoke Chat Completions with Groq
  • Managing Groq Prompts
  • Supported Models

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  1. Integrations
  2. LLMs

Groq

PreviousGoogle GeminiNextAzure OpenAI

Last updated 10 months ago

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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 .

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 system.

Provider Slug: groq

Portkey SDK Integration with Groq Models

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

1. Install the Portkey SDK

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

npm install --save portkey-ai
pip install portkey-ai

2. Initialize Portkey with the Virtual Key

To use Groq with Portkey, , 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 Groq 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 Groq

Use the Portkey instance to send requests to Groq. 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: 'mixtral-8x7b-32768',
});

console.log(chatCompletion.choices);
completion = portkey.chat.completions.create(
    messages= [{ "role": 'user', "content": 'Say this is a test' }],
    model= 'mistral-medium'
)

print(completion)

Managing Groq 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

Llama3 8B

llama3-8b-8192

Llama3 70B

llama3-70b-8192

Mixtral 8x7b

mixtral-8x7b-32768

Gemma 7b

gemma-7b-it

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

You'll find more information in the relevant sections:

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

Groq APIs
virtual key
get your API key from here
Prompt Library
SDK
Add metadata to your requests
Add gateway configs to your Groq
requests
Tracing Groq requests
Setup a fallback from OpenAI to Groq APIs