> ## Documentation Index
> Fetch the complete documentation index at: https://docs.langtrace.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Groq

> Groq provides cutting-edge AI acceleration hardware and software solutions designed to maximize the performance and efficiency of machine learning and AI workloads. Their innovative technology enables rapid processing speeds and scalability, making it ideal for complex data-intensive applications. Groq's products are tailored to deliver high performance with low latency, catering to enterprises seeking advanced AI capabilities.

Using Langtrace to monitor your Groq apps is quick and easy. Follow these steps:

## Setup

1. Install the Langtrace and Groq SDKs.

*Note: You'll need API keys from Langtrace and Groq. Sign up for [Langtrace](https://langtrace.ai) and/or [Groq](https://groq.com/) if you haven't done so already.*

```bash Python theme={null}
# Install the SDK
pip install -U langtrace-python-sdk groq
```

2. Setup environment variables:

```bash Shell theme={null}
export LANGTRACE_API_KEY=YOUR_LANGTRACE_API_KEY
export GROQ_API_KEY=YOUR_GROQ_API_KEY
```

## Usage

Generate a simple output with your deployment's model:

<CodeGroup>
  ```python Python theme={null}
  import os
  from langtrace_python_sdk import langtrace # Must precede any llm module imports
  langtrace.init(api_key = os.environ['LANGTRACE_API_KEY'])
  from groq import Groq
  client = Groq(
    # This is the default and can be omitted
    api_key=os.environ["GROQ_API_KEY"],
  )

  # Generate a simple output with the llama3 MODEL
  chat_completion = client.chat.completions.create(
    messages=[
        {
            "role": "user",
            "content": "What is LangChain?",
        }
    ],
    model="llama3-8b-8192",
  )
  print(chat_completion.choices[0].message.content)
  ```
</CodeGroup>

You can now view your traces on the Langtrace dashboard:

<img src="https://mintcdn.com/langtraceai-2/m7BVnnhK3Cx2yRxS/images/groq.png?fit=max&auto=format&n=m7BVnnhK3Cx2yRxS&q=85&s=6dc32da42862416b0fe8e7fe0642fcd7" alt="traces" width="2105" height="462" data-path="images/groq.png" />

Want to see more supported methods? Checkout the sample code in the [Langtrace Groq Python Example](https://github.com/Scale3-Labs/langtrace-recipes/blob/main/integrations/tools/groq/starter.ipynb) repository.