Log Analyzer

A structured framework for analyzing application logs from any source - nginx, Node.js, Python, Docker, systemd, or custom formats.

Gives your agent a systematic approach to log analysis:

Error Extraction - Classify every log line by severity (CRITICAL/ERROR/WARN) with auto-detection of log format.

Pattern Detection - Group errors by type, frequency, time clustering, and correlation. Spots error spikes, recurring failures, and cascading issues.

Root Cause Analysis - For each error group, identifies when it started, what triggered it, and what is affected.

Incident Reports - Generates clean markdown incident summaries with error breakdowns, root cause analysis, and prioritized fix recommendations.

Common Fix Database - Built-in knowledge of 20+ common error patterns (ECONNREFUSED, OOMKilled, 429s, ENOSPC, DNS failures, TLS errors) with specific remediation steps.

Includes multi-source log aggregation script, incident summary template, periodic health check cron pattern, and works with both structured JSON and unstructured text logs.

Perfect for: DevOps agents, monitoring automation, incident response, daily health checks, post-deploy verification.