Build trust in your AI agents
Description
In traditional software development, testing before production is a well-established practice. However, when it comes to AI-driven applications, the challenges are fundamentally different involving dynamic behaviors, contextual reasoning, and evolving outputs.
At NORMA we have developed LevelApp, an open-source framework specifically designed to address these challenges by enabling the testing of agentic AI applications through multi-turn scenarios such as conversational agents, specialized workflows, retrieval-augmented generation (RAG), and metadata extraction. Its seamless integration into CI/CD pipelines ensures that testing becomes an integral and automated part of the development lifecycle.