AgentX

AgentX provides a robust framework for evaluating and monitoring autonomous agents before and after deployment. Key capabilities include: * Test suite creation from real datasets * Multi-run and multi-step evaluation for consistency * Observability and traceability of agent behavior * Issue pinpointing and suggested fixes * Cross-provider performance comparison This platform allows developers to build continuous evaluation pipelines, much like CI/CD for traditional software. It enables automatic blocking of deployments if evaluations fail and promotes agents to production when criteria are met. The continuous evaluation loop ensures agents remain accurate and performant post-deployment, with drift detection and triggered re-evaluation. AgentX offers deep analysis of agent execution, providing insights into timelines, phase details, and step-by-step actions. This helps developers understand precisely where issues arise within complex workflows, from prompt assembly to tool interactions. By simulating agent runs across various large language model providers, users can compare performance, cost, and latency, making informed decisions about optimal configurations. Designed for engineering teams managing complex autonomous systems, AgentX ensures agents are deployed with confidence and maintain reliability in production. It helps organizations transition from demo-level functionality to robust, production-ready agent deployments by measuring what truly matters and proactively identifying areas for improvement.