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Observability tools for tracking language model calls and agent performance.
Distinguishing note: Focuses on AI-specific metrics rather than general system monitoring.
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This project is a comprehensive software observability suite and application performance monitoring platform designed to track runtime errors, performance bottlenecks, and system health. It functions as a centralized diagnostic service that aggregates and categorizes exceptions, providing the infrastructure necessary to visualize complex execution paths across distributed systems and microservices. The platform distinguishes itself through a high-throughput distributed event ingestion pipeline and a columnar storage analytics engine that enables rapid aggregation of large-scale performance me
Tracks language model calls, token consumption, and tool executions to ensure reliable agent performance.