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Overview

GroqLLMService provides access to Groq’s language models through an OpenAI-compatible interface. It inherits from OpenAILLMService and supports streaming responses, function calling, and context management with ultra-fast inference speeds.

Groq LLM API Reference

Pipecat’s API methods for Groq integration

Example Implementation

Complete example with function calling

Groq Documentation

Official Groq API documentation and features

Groq Console

Access models and manage API keys

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Installation

To use Groq services, install the required dependency: 
pip install "pipecat-ai[groq]"

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Prerequisites

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Groq Account Setup

Before using Groq LLM services, you need:
  1. Groq Account: Sign up at Groq Console
  2. API Key: Generate an API key from your console dashboard
  3. Model Selection: Choose from available models with ultra-fast inference

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Required Environment Variables

  • GROQ_API_KEY: Your Groq API key for authentication

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Configuration

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api_key
str
required
Groq API key for authentication.
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base_url
str
default:"https://api.groq.com/openai/v1"
Base URL for Groq API endpoint.
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model
str
default:"llama-3.3-70b-versatile"
Model identifier to use.

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InputParams

This service uses the same input parameters as OpenAILLMService. See OpenAI LLM for details.

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Usage

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Basic Setup

import os
from pipecat.services.groq import GroqLLMService

llm = GroqLLMService(
    api_key=os.getenv("GROQ_API_KEY"),
    model="llama-3.3-70b-versatile",
)

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With Custom Parameters

from pipecat.services.groq import GroqLLMService

llm = GroqLLMService(
    api_key=os.getenv("GROQ_API_KEY"),
    model="llama-3.3-70b-versatile",
    params=GroqLLMService.InputParams(
        temperature=0.7,
        top_p=0.9,
        max_completion_tokens=1024,
    ),
)

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Notes

  • Groq provides ultra-fast inference using custom LPU (Language Processing Unit) hardware.
  • Groq fully supports the OpenAI-compatible parameter set inherited from OpenAILLMService.