Introduction

We are thrilled to announce our latest integration update — Langtrace now supports Cleanlab's TLM natively! This integration enables you to automatically capture traces that includes the trustworthiness score and other metadata returned by Cleanlab's APIs. With this seamless integration, you can now gain deeper insights into your language model interactions while leveraging Cleanlab's robust capabilities.

Setup

Follow these steps to integrate Langtrace with Cleanlab:

1. Create Your Langtrace Project
   Sign up on Langtrace, create a new project, and obtain your Langtrace API key.

2. Install the Langtrace Python SDK
   pip install langtrace-python-sdk

3. Configure Your Environment
   Set up your environment variables by creating a .env file and adding your Langtrace API key:
   export LANGTRACE_API_KEY=<YOUR_LANGTRACE_API_KEY>

4. Similarly, ensure you have your Cleanlab API key available as an environment variable
   export CLEANLAB_API_KEY=<YOUR_CLEANLAB_API_KEY>

5. Initialize and set up Langtrace in your code. See code sample here.

6. Review Your Traces in Langtrace

   Once you run your code, Langtrace will automatically capture and log all relevant interactions. Visit your Langtrace dashboard to see the traces.
   
   

   

   
   

   

   Additional Resources

   • Integration guide

   • Getting started with Cleanlab

   • Langtrace Website

   • Langtrace Discord

   • Langtrace Github