Error Classification

What problem does it solve?

Errors in software systems often require manual triage and can cause delays. Error Classification automatically categorizes errors into actionable categories to determine the right response—retry, escalation, or fallback—reducing resolution time and noise.

Core Features & Use Cases

• Taxonomy-driven error classification that assigns retryability, source, severity, and domain to every error.
• Actionable decision guidance that maps classifications to concrete responses (retry with backoff, fail fast, escalate, fallback).
• Framework-ready templates and integration hooks to plug into existing monitoring, logging, and incident workflows.

Quick Start

Provide an error instance to the classifier and observe an automated, evidence-based response plan.