Coval integrates natively with Langfuse, enabling direct trace transmission for advanced voice agent debugging. This integration provides deeper insights into your voice AI applications, helping you improve performance and reliability through detailed message analysis.

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What is Langfuse?

Langfuse is an open source LLM engineering platform designed to provide better observability and evaluations into AI applications. It helps developers track, analyze, and visualize traces from AI interactions, enabling better performance tuning, debugging, and optimization of AI agents.

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Getting Started

1

Get your Langfuse Credentials

First, you’ll need your Langfuse credentials:

  • Secret Key

  • Public Key

  • Host URL

You can obtain these by signing up for Langfuse Cloud or self-hosting Langfuse.

2

Add Langfuse Credentials

Log in to your Coval dashboard and navigate to Menu → Organization → Manage → Langfuse Integration. Enter your Langfuse credentials. Click Save to update your credentials.

3

Launch an Evaluation on Coval & see Traces in Langfuse

Now, every time you launch an Eval on Coval, you log your traces in Langfuse.

To view your results, navigate to your run results page and select Integrations. While Coval helps you review your metrics in the context of the conversation, you can visit Langfuse to debug specific messages or iterate on your prompts.

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