📅 2025-04-21 — Session: Enhanced Logging for PromptFlow and Flowpower
🕒 00:50–01:20
🏷️ Labels: Logging, Promptflow, Flowpower, Python, Debugging
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to enhance the logging capabilities of PromptFlow and Flowpower to improve debugging, testing, and trust in workflows.
Key Activities
- Developed a comprehensive strategy for maximal logging in PromptFlow, including specific goals, recommendations, and example implementations.
- Implemented a trace logger in Python with functionalities for logging setup, error handling, and JSON dumping.
- Created
flowpower.utils.trace_loggerwith various logging functionalities, including error tracking and live log monitoring. - Conducted a quality assessment of PromptFlow, recommending enhancements by integrating Flowpower’s logging features.
- Refactored
runner.pyfor Flowpower Executors to improve logging and structure. - Summarized the purpose and structure of
executor.py, detailing its orchestration functions.
Achievements
- Successfully implemented enhanced logging strategies and tools for both PromptFlow and Flowpower.
Pending Tasks
- Further integration of logging features into additional modules if necessary.