Building a Tool-Calling Agent in Python: A Debugging Guide
OnlineInference · x · 2026-08-07
This article explains how to build a tool-calling agent in Python, focusing on debugging. The author demonstrates a two-stage system that converts a map location to coordinates, validates them, and fetches a rain forecast, while logging each step for traceability. It emphasizes transparency and evidence tracking, and recommends using Weights & Biases for visualization.
More from coding & agent
- Investor Reports of 'Opus 5 Going Rogue' in Codebases — venturetwins · 2026-08-07
- Study: LLMs Homogenize Code Syntax, but Human Prompters Drive Semantic Variety — emollick · 2026-08-07
- Developer Builds UI for Claude Agent to Automate Tasks via Web Interaction — ___Patrice___ · 2026-08-07
- CopilotKit Channels SDK Open-Sourced on GitHub, Gains 600+ Stars — techNmak · 2026-08-07
- CopilotKit Launches Channels SDK: Connect AI Agents to Slack, Teams with One Line of Code — techNmak · 2026-08-07
- Qwen APP Major Update: Evolves into Personal Agent with Autonomous Task Execution — APPSO · 2026-08-07