Debugging Python Tool-Calling Agents with Real APIs and Traceable Outputs
The article walks through building a lightweight Python loop that calls real APIs, validates tool arguments with JSON Schema, captures compact results, and logs each step to Weights & Biases. By exposing the model request, execution, and errors, it lets you debug tool‑calling agents beyond the final answer, avoiding hidden failures before adopting a full framework.