How does AI Agent support visual debugging and online playback?

An AI Agent supports visual debugging and online playback by integrating real-time monitoring, logging, and interactive visualization tools to help developers trace, analyze, and troubleshoot the agent's decision-making process and actions.

Visual Debugging

Visual debugging allows developers to see the internal state of the AI Agent, including its perception inputs (e.g., images, sensor data), reasoning steps, and action outputs. This is often achieved through:

• Step-by-step Execution Visualization: Breaking down the agent’s workflow into stages (e.g., input processing, decision logic, output generation) and displaying them in a UI.
• Highlighting Key Decisions: Marking critical reasoning paths or uncertain predictions to help identify errors.
• Interactive Debugging Panels: Letting developers pause, inspect, and modify variables or inputs during execution.

Example: In a robotic AI Agent, visual debugging might show how the agent interprets camera input, detects obstacles, and decides movement paths, with overlays highlighting misclassified objects.

Online Playback

Online playback records the AI Agent’s past interactions (inputs, decisions, and outcomes) and allows replaying them in real-time or slow motion for analysis. This helps in:

• Reproducing Issues: Replaying a failed session to diagnose what went wrong.
• Performance Optimization: Observing how the agent behaves under different conditions.
• Training & Fine-Tuning: Using recorded sessions to improve the agent’s learning model.

Example: For an AI Agent in a self-driving simulation, online playback lets engineers rewatch how the agent reacted to sudden traffic changes, reviewing sensor data and steering decisions frame by frame.

Recommended Tencent Cloud Services:

• Tencent Cloud TI-ONE (AI Training Platform): Supports logging and visualizing AI model training and inference processes.
• Tencent Cloud Cloud Monitor & CLS (Cloud Log Service): Helps track AI Agent logs and metrics for debugging.
• Tencent Cloud Real-Time Communication (TRTC) & Media Services: Can be used for streaming and replaying agent interactions in multimedia applications.

These tools enhance transparency and efficiency in debugging AI Agents by providing clear, interactive insights into their behavior.