Error Classification Module for a Monitoring Agent

Problem Description

A DevOps team runs an autonomous monitoring agent that polls 12 internal services every minute and takes corrective actions when services appear unhealthy. Some failures are well-understood (e.g., a known rate-limit error code from a specific service), but a class of errors keeps appearing with no clear cause — the error message is generic ("internal error"), the stack trace points to a third-party library internals, and there is no historical record of this specific failure. The team is unsure whether these mystery errors are harmless blips or signs of a deeper problem.

Currently, the agent treats unknown errors the same as known minor errors — it logs them and moves on. This has caused two near-misses where an unknown error was actually a symptom of data corruption. The team wants a triage decision module that has a well-defined policy for what to do when an error cannot be definitively classified, so the agent behaves conservatively when in doubt.

Output Specification

Write a Python module triage_classifier.py that:

• Classifies errors into severity tiers based on available evidence
• Has a defined policy for errors that cannot be clearly classified
• Includes a classify_error(error_info: dict) -> TriageDecision function
• Includes a DESIGN.md file explaining the classification rules and the conservative fallback policy

Also write a classify_examples.py script that calls classify_error with at least 3 example inputs (one clearly benign, one clearly severe, one ambiguous/unknown) and prints the resulting triage decisions to stdout.