Pai Monitor

What it does

The pai-monitor skill provides a way to monitor and track performance indicators (KPIs) within an AI agent's environment. It allows users to define metrics, collect data related to those metrics, and visualize the results over time. This enables proactive identification of potential issues and optimization opportunities for AI agents.

When to use it

• Performance Degradation: Use pai-monitor when you observe a decline in your agent's performance or unexpected behavior.
• Resource Optimization: Track resource usage (e.g., API calls, memory consumption) to identify areas where the agent can be made more efficient.
• A/B Testing Analysis: Monitor key metrics during A/B tests of different agent configurations to determine which performs best.
• Anomaly Detection: Set up alerts based on predefined thresholds for KPIs to proactively detect and respond to unusual patterns.

Key capabilities

• Metric Definition: Define custom performance indicators (KPIs) to track.
• Data Collection: Automatically collect data related to the defined metrics.
• Visualization: Display collected data in charts and graphs over time.
• Alerting: Configure alerts based on predefined thresholds for KPIs.

Example prompts

• "Monitor API call frequency of my agent."
• "Show me a graph of response latency over the last 24 hours."
• "Set an alert if memory usage exceeds 80%."

Tips & gotchas

The skill requires access to relevant data sources and APIs within your AI agent's environment. Ensure proper permissions are configured for data collection and alerting functionality.