Build Your Own AI Agent Execution Trace in Python.
AI agents are getting better at doing things, not just answering questions. They can call APIs, search databases, execute functions, inspect files, make decisions, and continue working through a task without waiting for a human after every step, and that sounds great until something goes wrong.
A normal application can usually give you a reasonably clear answer when a request fails. You can look at the HTTP request, inspect the application logs, check the database, and work backwards from the error. With an AI agent, the failure can be much harder to understand because the system is making decisions across multiple steps.
The final answer might look perfectly reasonable even though something went wrong three or four steps earlier.
An agent might have selected the wrong tool. A tool might have returned stale information. The model might have received an incomplete context. An API might have taken eight seconds to...
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