Debugging LangChain Applications
Introduction: The Black Box Problem Debugging applications built on Large Language Models is uniquely challenging. Traditional software has deterministic logic. If a function returns the wrong result, you can trace the execution path, inspect variables, and identify the bug....
Python Logging for AI Applications
AI systems fail in ways print statements can't capture — model drift, API timeouts, silent NaNs. Here's the minimal setup that actually works. 1. Basic Config (One-Time Setup) import logging, sys logging.basicConfig( level=logging.INFO, format="%(asctime)s | %(levelname)s |...