Programming Tutorials

  You’ve likely been there: You build a sophisticated agent using Google's Gemini 1.5 Pro. You define your tools perfectly. Yet, in production, the model decides to "chat" about the weather instead of calling the   get_weather   function. Or worse, it calls the function but passes   "London"   as a string when your schema explicitly demanded an object with logic-gated coordinates. Nondeterministic behavior in function calling (Tool Use) is the primary bottleneck preventing AI demos from becoming enterprise-grade software. When an LLM hallucinates parameters or ignores tools, it breaks the application loop and erodes user trust. This guide moves beyond basic tutorials. We will implement a strictly typed, deterministic function-calling architecture using the Gemini API, TypeScript, and the Node.js SDK. The Root Cause: Why Gemini Ignores Your Tools To fix function calling, you must understand that LLMs do not "call functions." They predict tokens. When yo...