Understand production LLM behavior with Patterns in Agent Observability
Datadog | The Monitor blog

Understand production LLM behavior with Patterns in Agent Observability


Summary

Datadog’s "Patterns" feature automatically clusters LLM production traffic into interpretable, hierarchical topics to reveal unanticipated user behaviors and workflows. By linking these patterns directly to operational metrics like cost, latency, and error rates, the tool helps developers pinpoint the specific drivers of performance regressions. This enables teams to move beyond broad symptoms to build targeted evaluations and datasets based on actual real-world usage.
Read the Original Article

This article originally appeared on Datadog | The Monitor blog.

Read Full Article on Original Site

Popular from Datadog | The Monitor blog

1
Datadog LLM Observability natively supports OpenTelemetry GenAI Semantic Conventions
2
Introducing Bits AI Dev Agent for Code Security
Introducing Bits AI Dev Agent for Code Security

Datadog | The Monitor blog Mar 26, 2026 85 views

3
Understand session replays faster with AI summaries and smart chapters
Understand session replays faster with AI summaries and smart chapters

Datadog | The Monitor blog Apr 2, 2026 71 views

4
Monitoring MongoDB performance metrics (MMAP)
Monitoring MongoDB performance metrics (MMAP)

Datadog | The Monitor blog May 25, 2016 71 views