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Events are things that happened in your system that are worth recording. Each event is associated with a span and its corresponding trace. In Laminar, events help you understand what’s happening in your AI applications beyond just tracing. You can set up events to track: user actions, business outcomes, errors, state changes, or any signal that matters to your product.

Emit events from code

Emit structured events directly from your code to track domain-specific actions and outcomes.

Extract events from traces using LLMs

Define prompts to extract “semantic” events from trace data. Extraction is performed asynchronously in the background on the Laminar platform.

Cluster events to identify patterns

Cluster similar events together to discover patterns, debug at scale, and detect anomalies.