RagaAI-Catalyst is a suite of software implementation tools providing an SDK, dashboard, and platform for monitoring, debugging, red-teaming, and evaluating agentic AI workflows. It serves as an observability framework for tracing the execution paths of large language models and multi-agent systems.
The project distinguishes itself through a security suite for automated red-teaming and vulnerability scanning to detect biases, alongside a centralized prompt registry that decouples templates from application code. It further provides an evaluation platform that combines synthetic data generation with custom metric frameworks to quantify model accuracy and reliability.
The system covers broad operational domains including agent behavioral observability, prompt lifecycle management, and the application of output guardrails to block undesirable content. Its monitoring capabilities include trace-based execution graphing, timeline-based event sequencing, and diagnostic tools for analyzing multi-agent interaction flows.
The core functionality is delivered via a Python library for recording tool calls and decision-making processes.
