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Integrating AI with Open-Meteo API for Enhanced Weather Forecasting

by Davi Saranszky Mesquitaadapted from n8n official workflow galleryUpdated Aug 2026
RequiresAAI AgentHTTP Request ToolHTTP Request ToolOpenAI Chat ModelOpenAI Chat ModelSSimple Memory
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ChWhen chat message receivedWhen chat messa…OpenAI Chat ModelOpenAI Chat Mod…AgGeneric AI Tool AgentGeneric AI Tool…MBChat Memory BufferChat Memory Buf…THA tool to get the weather forecast based on geolocationA tool to get t…THA tool for inputting the city and obtaining geolocationA tool for inpu…123456
1/5
STEPS · 6
Starts from a chat message

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 We will make an HTTP request to find out the geographic coordinates of a city. 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.

Tags

n8nreference-onlyagentlm-chat-open-aimemory-buffer-windowtool-http-request
Connects
AAI AgenthttprequesttoolHTTP Request ToolopenaichatmodelOpenAI Chat ModelSSimple Memory
CategoryAI Automation
Triggermanual
Complexitymedium
Nodes6
AddedJan 2, 2025

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