Integrating AI with Open-Meteo API for enhanced weather forecasting

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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...

Best for

Engineering automation workflows
AI Chatbot automation workflows
intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.toolhttprequest

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Davi Saranszky Mesquita.

Original n8n.io source

1.1 Workflow description

Title: Integrating AI with Open-Meteo API for enhanced weather forecasting
Workflow name: Integrating AI with Open-Meteo API for enhanced weather forecasting

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.

by Davi Saranszky Mesquita https://www.linkedin.com/in/mesquitadavi/

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - When chat message received

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.1

Block 2 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1

Block 3 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Generic AI Tool Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 6 - Chat Memory Buffer

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 7 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - A tool to get the weather forecast based on geolocation

Type / Role: @n8n/n8n-nodes-langchain.toolHttpRequest - toolHttpRequest
Config choices: Version 1.1

Block 10 - Sticky Note6

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 11 - A tool for inputting the city and obtaining geolocation

Type / Role: @n8n/n8n-nodes-langchain.toolHttpRequest - toolHttpRequest
Config choices: Version 1.1

Block 12 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Integrating AI with Open-Meteo API for enhanced weather forecasting
Complexity	intermediate
Nodes	12
Categories	Engineering, AI Chatbot
Author	Davi Saranszky Mesquita
Published	02 Jan 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2692/2692.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Engineering workflows AI Chatbot workflows

Frequently asked questions

What does Integrating AI with Open-Meteo API for enhanced weather forecasting do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering, AI Chatbot use case.

Davi Saranszky Mesquita

3 workflows

Nodes

@n8n/n8n-nodes-langchain.chattrigger @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.memorybufferwindow @n8n/n8n-nodes-langchain.toolhttprequest

Complexity

intermediate

Published 02 Jan 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/2692/2692.json

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Integrating AI with Open-Meteo API for enhanced weather forecasting

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Use case

Workshop

Enhanced Weather Forecasting

What this workflow does

Setup

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When chat message received

Block 2 - OpenAI Chat Model

Block 3 - Sticky Note

Block 4 - Sticky Note1

Block 5 - Generic AI Tool Agent

Block 6 - Chat Memory Buffer

Block 7 - Sticky Note2

Block 8 - Sticky Note5

Block 9 - A tool to get the weather forecast based on geolocation

Block 10 - Sticky Note6

Block 11 - A tool for inputting the city and obtaining geolocation

Block 12 - Sticky Note4

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions