Integrating Langtrace with Honeycomb: A Quick Guide

Jay Thakrar

Jay Thakrar

· 2 min read
Honeycomb and Langtrace collaboration

Understanding how an LLM behaves within an application is paramount, particularly given the nondeterministic outcomes of LLMs. As a result, observability into an LLM stack is mandatory. Today, we’re excited to announce that Langtrace can easily be integrated into Honeycomb, a leading observability platform for understanding and troubleshooting complex systems. In this blog post, we’ll walk you through the steps to integrate Langtrace with Honeycomb.



  • You will need a Honeycomb account with a valid API key
    • Note: the Honeycomb API key should have the necessary permissions to create datasets and ingest traces


  • Install the Honeycomb OpenTelemetry Python distribution package
  • Install the Langtrace Python SDK and initialize the SDK in your terminal
    • Note: don’t forget to input your Honeycomb API key into your app configuration - this will direct the traces from Langtrace to your Honeycomb dashboard.
  • Start visualizing high cardinality traces on Honeycomb; it’s that simple!

Additional resources:

  1. For a detailed walk-through on how to integrate Langtrace into Honeycomb, be sure to check out Langtrace’s documentation
  2. Honeycomb website:
  3. Langtrace website:
  4. Langtrace SDK:

We’d love to hear from you.

We'd love to hear your feedback, Langtrace! We invite you to join our community on Discord or reach out at [email protected] and share your experiences, insights, and suggestions. Together, we can continue to set new standards of observability in LLM development.

Happy tracing!

Jay Thakrar

About Jay Thakrar

Head of Product and Strategy, Langtrace