📅 2025-05-03 — Session: Debugged and Enhanced AI Agent Workflows
🕒 05:20–07:00
🏷️ Labels: Ai Agents, Debugging, Gradio, Python, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to debug and enhance various AI agent workflows, particularly focusing on error resolution and integration with Gradio UI.
Key Activities
- Error Handling in Cerebrum SDK: Resolved ImportError and tool registration issues in the Cerebrum SDK by following step-by-step debugging guides.
- Python Debugging Techniques: Utilized Python’s debugger (
pdb) for effective debugging, including exiting strategies and command usage. - Agent Debugging: Addressed tool calling errors, undefined variables, and missing arguments in various agents, including Academic, Language Tutor, and TechSupport agents.
- Gradio UI Integration: Implemented and debugged Gradio interfaces for Tech Support Agents, focusing on UI rendering, state management, and interactive workflows.
Achievements
- Successfully fixed ImportErrors and tool registration issues in the Cerebrum SDK.
- Improved the functionality of multiple AI agents by resolving key errors and enhancing logging for better debugging.
- Integrated Gradio UI with Tech Support Agents, enabling interactive user-driven workflows.
Pending Tasks
- Further refine the Gradio UI for seamless user interaction and incremental execution.
- Continue monitoring the performance of AI agents post-integration to identify any new issues.