Evaluating & Monitoring Voice Agents with Langfuse
Feb 19, 2025
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.