Debug Mode

What it does

The debug-mode skill provides a mechanism to output internal state and reasoning steps of an AI agent. This allows users to inspect the agent's thought process, identify potential errors in its logic, or understand why it arrived at a particular decision. It’s particularly useful for diagnosing unexpected behavior and improving agent performance.

When to use it

• Troubleshooting Unexpected Behavior: If your agent is producing incorrect or undesirable results, activate debug mode to see the steps leading up to the output.
• Understanding Agent Reasoning: Gain insight into how the agent is approaching a task by observing its internal monologue and decision-making process.
• Improving Prompt Engineering: Analyze the agent's responses in debug mode to refine prompts and guide it towards better outcomes.
• Debugging Custom Logic: When integrating custom tools or logic, use debug mode to verify that these components are functioning as expected within the agent’s workflow.

Key capabilities

• Outputs internal state during execution.
• Displays reasoning steps.
• Provides insight into decision-making processes.

Example prompts

• "Run this task in debug mode: [task description]"
• "Show me the debugging output for my last request."
• "Enable debug mode and then summarize this article."

Tips & gotchas

Debug mode can significantly increase processing time and verbosity, so only enable it when actively troubleshooting or seeking detailed insight. Be mindful of sensitive information that might be exposed in the debug output.