📅 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.