# tools > Guide for tool registration and tool UI in assistant-ui. Use when implementing LLM tools, tool call rendering, or human-in-the-loop patterns. - Author: Urjit Chakraborty - Repository: urjitc/thinkex - Version: 20260206221205 - Stars: 0 - Forks: 0 - Last Updated: 2026-02-07 - Source: https://github.com/urjitc/thinkex - Web: https://mule.run/skillshub/@@urjitc/thinkex~tools:20260206221205 --- --- name: tools description: Guide for tool registration and tool UI in assistant-ui. Use when implementing LLM tools, tool call rendering, or human-in-the-loop patterns. version: 0.0.1 license: MIT --- # assistant-ui Tools **Always consult [assistant-ui.com/llms.txt](https://assistant-ui.com/llms.txt) for latest API.** Tools let LLMs trigger actions with custom UI rendering. ## References - [./references/make-tool.md](./references/make-tool.md) -- makeAssistantTool/useAssistantTool - [./references/tool-ui.md](./references/tool-ui.md) -- makeAssistantToolUI rendering - [./references/human-in-loop.md](./references/human-in-loop.md) -- Confirmation patterns ## Tool Types ``` Where does the tool execute? ├─ Backend (LLM calls API) → AI SDK tool() │ └─ Want custom UI? → makeAssistantToolUI └─ Frontend (browser-only) → makeAssistantTool └─ Want custom UI? → makeAssistantToolUI ``` ## Backend Tool with UI ```ts // Backend (app/api/chat/route.ts) import { tool, stepCountIs } from "ai"; import { z } from "zod"; const tools = { get_weather: tool({ description: "Get weather for a city", inputSchema: z.object({ city: z.string() }), execute: async ({ city }) => ({ temp: 22, city }), }), }; const result = streamText({ model: openai("gpt-4o"), messages, tools, stopWhen: stepCountIs(5), }); ``` ```tsx // Frontend import { makeAssistantToolUI } from "@assistant-ui/react"; const WeatherToolUI = makeAssistantToolUI({ toolName: "get_weather", render: ({ args, result, status }) => { if (status === "running") return
Delete {args.path}?