Create your own real-time voice assistant that detects incidents by monitoring log files and speaks out loud about issues.
You'll build a real-time incident radio for your backend that tails log files, detects important errors and warnings, and turns them into short, human-friendly summaries. It keeps a rolling memory of past issues, emphasizes the newest problems, and speaks each update aloud so you can stay focused while the system keeps watch.
Run it against any log file (for example, cargo run -- sample.log) and hear clear, periodic status reports about what's breaking and how it's evolving in real time.
Build a non-blocking log file watcher
Filter logs using regular expressions
Coordinate async tasks with Tokio
Summarize errors with OpenAI
Convert summaries to speech with Rodio
Send data across MPSC channels
Basic Rust syntax and ownership
Understanding of async/await concepts
Understanding of command-line interfaces
Rust and cargo installed
OpenAI API key
Build Log Watcher
Create a non-blocking log file watcher using notify crate. Implement async file tailing with Tokio, filter log entries with regex patterns, and send matches through MPSC channels for processing.
Generate Log Summaries
Build an AI-powered summarizer using OpenAI API. Collect log entries, maintain rolling context of recent incidents, and generate human-friendly status reports. Learn to coordinate async tasks and manage API rate limits.
Play Audio Summaries
Integrate Rodio for audio playback and convert text summaries to speech. Set up periodic narration intervals, queue audio files, and create a complete real-time incident monitoring system that speaks status updates.
