The Anatomy of Tool Calling in LLMs: A Deep Dive

Introduction Tool calling (also called function calling or plugins) is the capability that turns large language models from text predictors into general-purpose controllers for software. Instead of only generating natural language, an LLM can: Decide when to call a tool (e.g., “get_weather”, “run_sql_query”) Decide which tool to call Construct arguments for that tool Use the result of the tool to continue its reasoning or response This post is a deep dive into the anatomy of tool calling: the moving parts, how they interact, what can go wrong, and how to design reliable systems on top of them. ...

January 7, 2026 · 14 min · 2879 words · martinuke0

Vercel AI SDK 6: Revolutionizing AI Agent Development with Tool Approval and More

Vercel’s AI SDK 6 beta introduces groundbreaking features like tool execution approval, a new agent abstraction, and enhanced capabilities for building production-ready AI applications across frameworks like Next.js, React, Vue, and Svelte.[1][5] This release addresses key pain points in LLM integration, such as safely granting models powerful tools while abstracting provider differences.[1][3] What is the Vercel AI SDK? The AI SDK is a TypeScript-first toolkit that simplifies building AI-powered apps by providing a unified interface for multiple LLM providers, including OpenAI, Anthropic, Google, Grok, and more.[3][4] It eliminates boilerplate for chatbots, text generation, structured data, and now advanced agents, supporting frameworks like Next.js, Vue, Svelte, Node.js, React, Angular, and SolidJS.[3][4][6] ...

January 6, 2026 · 5 min · 859 words · martinuke0
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