I Built a Debugger for LLM Agents — Here's Why "Observability" Wasn't Enough

1. 1Build a custom debugger for LLM agents using a programming language like Python
2. 2Run experiments to test the effectiveness of the debugger
3. 3Configure the debugger to track specific variables and outputs
4. 4Test the debugger with different prompts and scenarios
5. 5Compare the results with and without the debugger to measure its impact

Developers and researchers working with LLM agents can benefit from this tutorial to improve their debugging skills and reduce hypothesis testing time

💡 Observability is not sufficient for debugging LLM agents, a custom debugger is needed for effective hypothesis testing

🚀 Just built a debugger for LLM agents! 🤖 Observability isn't enough for effective debugging. #LLM #Debugging