CortexOps

CortexOps provides essential infrastructure for maintaining the reliability and integrity of your agent-based applications. Key features include: • One-line instrumentation for LangGraph and CrewAI agents • Golden dataset evaluations for quality assurance • Continuous integration (CI) gating to block regressions • Real-time observability for incident debugging • Automatic Personal Identifiable Information (PII) redaction This platform addresses critical challenges such as silent failures, performance degradations, and data privacy breaches in production environments. By wrapping your existing agents, CortexOps enables immediate visibility into every run, showing detailed node waterfalls, tool calls, and outputs. This allows developers to quickly pinpoint issues like latency spikes or unexpected agent behavior, significantly reducing debugging time during incidents. Beyond monitoring, CortexOps empowers teams to proactively ensure agent quality. Developers can define golden datasets with expected outputs, tool calls, and latency budgets using simple YAML configurations. These evaluations can then be integrated into CI/CD pipelines, automatically rejecting code changes that fail to meet predefined performance or quality thresholds, thus preventing problematic deployments from reaching production. CortexOps is ideal for engineering teams developing and deploying sophisticated agent applications, particularly those built with LangGraph or CrewAI. It ensures that agents operate reliably, maintain high performance, and adhere to strict data privacy standards, allowing for confident and secure deployment of complex interactive systems.