Voice Lab

screen shot for Voice Lab

Testing and evaluation framework for voice agents

Voice Lab is a comprehensive framework designed to streamline the testing and evaluation of voice agents and other LLM-powered systems. It empowers developers to rigorously assess various language models, prompts, and agent personas, enabling data-driven decisions for cost optimization, performance enhancement, and prompt fine-tuning. While primarily optimized for voice agent development, Voice Lab's robust evaluation capabilities extend to any application leveraging LLMs, offering a versatile solution for ensuring the reliability and effectiveness of AI-driven conversational agents.

With Voice Lab, users can efficiently tackle common challenges in voice agent development by utilizing its features for generating and managing test scenarios, configuring environment settings and executing predefined tests. The framework allows for advanced customization through a dedicated configuration editor, facilitating the creation of custom test suites. Its ability to work directly with the text component of a voice agent allows developers to focus on core NLP testing and model performance, providing the necessary infrastructure to build more dependable and impactful conversational AI products.

https://github.com/saharmor/voice-lab

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