From Traces to Insights: Understanding Agent Behavior at Scale

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2026-01-20 17:26:01 -

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."

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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From Traces to Insights: Understanding Agent Behavior at Scale

Visibility is the easiest piece. The hard part is analyzing and understanding what you’re observing. I’ve spoken to teams recording 100k+ traces every single day. What are they doing with those traces? Literally nothing. Because it’s impossible to read and summarize 100,000 traces

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