error-analysis

Analyze LLM traces by ingesting eval results, agent logs, and production data to classify errors like reasoning failures and format violations, detect recurring patterns, and generate a structured error taxonomy.

Diagnose LLM failures from production logs by running a guided trace analysis that classifies errors into categories, surfaces recurring patterns, and produces root-cause hypotheses with prioritized remediation recommendations.

Yes, you can generate an error taxonomy from agent logs and eval results by ingesting the traces to classify failures into common categories and quantify recurring patterns for actionable improvements.

Identify root causes of factual errors and format violations by analyzing LLM traces to classify failures, detect recurring patterns, and produce root-cause hypotheses that guide prioritized remediation.

Yes, this error analysis approach works with agent logs and production traces by ingesting them to identify failure modes, classify errors, and generate actionable remediation recommendations.

Trace analysis classifies LLM failures into common categories including reasoning errors, factual errors, format violations, and refusals, while surfacing recurring patterns to produce a structured error taxonomy.