self-observe

What problem does it solve?

This Skill helps users understand the operational status and resource consumption of the OpenHeron AI assistant, enabling proactive issue detection and performance monitoring.

Core Features & Use Cases

• Runtime Health Checks: Verifies the status of critical OpenHeron services like the gateway and heartbeat.
• Token Usage Monitoring: Provides insights into LLM token consumption across different providers.
• Error Log Analysis: Quickly surfaces recent errors and exceptions from log files.
• Use Case: When experiencing slow responses or unexpected behavior, use this skill to get a consolidated overview of system health, token costs, and recent errors to diagnose the problem.

Quick Start

Run the self_status_report.sh script to generate a consolidated report of OpenHeron's runtime status and token usage.