This hits on a real pain point in production AI systems - teams are drowning in observability data they can't actually use. Recording 100k+ traces daily means nothing if you lack the tools to extract patterns and anomalies at scale. LangChain's piece digs into the gap between "we can see everything" and "we understand what's happening."
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