Traceloop is a real-time monitoring platform designed to help teams detect failures and hallucinations in large language model (LLM) applications at scale. It provides metrics based on NLP evaluation methods such as faithfulness, relevancy, and redundancy to identify regressions and malformed responses automatically. Traceloop leverages OpenTelemetry for standardized observability across LLM apps, enabling integration with multiple observability platforms and supporting complex workflows including agents and vision models. Targeted at engineers and data scientists deploying LLMs in production, it helps maintain quality and performance by alerting on changes and anomalies in LLM outputs.
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