Langfuse Integration

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.

About 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.

How to Leverage Coval + Langfuse for Your Voice Application

Comprehensive Testing Strategy

The integration between Coval and Langfuse enables a complete testing approach:

Development:

• Use Coval for quick integration tests and automated evaluations
• Debug individual components and messages in Langfuse from simulated conversations
• Trace step-by-step execution of single messages
• Monitor tool calls and application logic through Coval as you improve your agent

Production:

• Implement specific unit tests based on development findings
• Conversation-level evaluations
• Detailed performance monitoring

Key Integration Benefits

• Comprehensive Evals: Analyze multi-turn conversations and debug single messages
• Quality Assurance: Test for regressions across different prompt versions or model changes and save time by running automated simulations

Getting Started

To get started, check out our Documentation.