AI Voice Agent Evaluation Framework
What it is
A Python-based evaluation framework designed to test voice AI systems for production readiness. It provides modules for benchmarking response latency, scoring NLP accuracy against ground truth, and testing multi-turn dialogue context retention.
The problem it solves
Lack of standardized, production-grade tools to measure latency, accuracy, and dialogue consistency in voice AI systems.
What you could use it for
- Regression testing voice AI agents before deployment
- Benchmarking time-to-first-audio latency
- Evaluating NLP intent recognition accuracy
- Testing multi-turn conversation context retention
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.