Groq
Portkey provides a robust and secure gateway to facilitate the integration of various Large Language Models (LLMs) into your applications, including Groq APIs.
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 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
2. Initialize Portkey with the Virtual Key
To use Groq 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 Groq Virtual Key
})
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);
Managing Groq Prompts
You can manage all prompts to Groq in the Prompt Library. All the current models of Groq 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
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.
SDKYou'll find more information in the relevant sections:
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