Enables querying and analyzing logs from multiple remote Unix hosts via the Log Collector API, with tools for search, error detection, and summary generation.
Enables LLMs to analyze logs by extracting patterns, redacting secrets, and providing token-efficient summaries from files, Docker containers, or journald.
Enables AI assistants to automatically inspect and analyze application runtime log files for debugging and troubleshooting. Supports monitoring multiple log directories simultaneously with tools for listing, reading, searching, and paginating through log files.
Analyzes log files to identify root causes of project errors and generates detailed fix plans with risk assessments. It implements a multi-phase workflow that ensures no code modifications are applied without explicit user approval.
Enables monitoring and analysis of local application log files with real-time tailing, error tracking, and search capabilities. Perfect for debugging Node.js applications, web servers, or any application that writes to log files through natural language commands.