Glass

This extensive observability and failure management platform automatically detects, classifies, and analyzes silent errors, hallucinations, latency spikes, and other issues within AI-driven systems, enabling rapid diagnosis and resolution. Its key features include detailed interaction tracing, automated failure classification, integrated evaluation testing, real-time production insights, and regression suite building to prevent recurring problems, making it suitable for AI developers, data scientists, machine learning engineers, and operations teams seeking to improve reliability, reduce user churn, and confidently deploy prompt updates.

Glass را می‌توان در موارد زیر یافت: Application Monitoring & Observability دسته بندی ها.