Templates / Integrating AI with Open-Meteo API for enhanced weather forecasting

Integrating AI with Open-Meteo API for enhanced weather forecasting

Needs changes

by Davi Saranszky Mesquita ✓ · 3,715 views · created 2025-01-02 · Engineering, AI Chatbot

Needs changes. This template uses 2 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes), HTTP Request Tool (legacy). 2 breaking item(s) found. Static check, last run 2026-10-19.

What to replace before upgrading

Removed in 3.0Replace with
AI Agent v1 (old agent modes)
Generic AI Tool Agent (v1.7)
Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
HTTP Request Tool (legacy)
A tool to get the weather forecast based on geolocation, A tool for inputting the city and obtaining geolocation
HTTP Request node connected to the AI Agent's Tool input

Nodes used (5)

OpenAI Chat ModelAI AgentSimple MemoryHTTP Request

What it does

Use case Workshop We are using this workflow in our workshops to teach how to use Tools a.k.a functions with artificial intelligence. In this specific case, we will use a generic "AI Agent" node to illustrate that it could use other models from different data providers. Enhanced Weather Forecasting In this small example, it's easy to demonstrate how to obtain weather forecast results from the Open-Meteo site to accurately display the upcoming days. This can be used to plan travel decisions, for example. What this workflow does 1. We will make an HTTP request to find out the geographic coordinates of a city. 2. Then, we will make other HTTP requests to discover the weather for the upcoming days. In this workshop, we demonstrate that the AI will be able to determine which tool to call first—it will first call the geolocation tool and then the weather forecast tool. All of this within a single client conversation call. Setup Insert an OpenAI Key and activate the workflow. by Davi Saranszky Mesquita https://www.linkedin.com/in/mesquitadavi/

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