Skip to main content

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.

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 and/or Groq if you haven’t done so already.
Python
# Install the SDK
pip install -U langtrace-python-sdk groq
  1. Setup environment variables:
Shell
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: 
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)
You can now view your traces on the Langtrace dashboard: traces Want to see more supported methods? Checkout the sample code in the Langtrace Groq Python Example repository.