📅 2025-05-02 — Session: Enhanced Error Handling and Timeout Management
🕒 01:20–02:10
🏷️ Labels: Error Handling, Timeout, Ai Kernel, LLM, Python
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to improve error handling and timeout management in various systems, including email triage and AI kernel servers.
Key Activities
- Analyzed error traces in the email triage system to identify causes of timeouts and failures.
- Developed a systematic approach to diagnose and resolve timeout issues in AI kernel servers.
- Implemented fixes for JSON output in chat functionalities and reconstructed debugging sessions for better structured output.
- Standardized LLM tool-call interactions and addressed timeout issues in function calls.
- Conducted a comparative analysis of agent architectures, leading to recommendations for unification.
- Streamlined the
dogfood_champion.py
script for better performance. - Designed a general LLM Tool Agent pattern and implemented a unified
EmailTriagerAgent
class.
Achievements
- Enhanced fault tolerance and robustness in email triage and AI kernel systems.
- Improved JSON output handling in chat functionalities.
- Established best practices for LLM tool-call interactions.
- Successfully unified agent architectures for better code reuse and efficiency.
Pending Tasks
- Further testing and validation of implemented changes in production environments.