AI-Enhanced Weather Forecasting with Open-Meteo API

This n8n workflow is designed to integrate AI capabilities with weather data retrieval, providing an intelligent way to get accurate weather forecasts for any city. The workflow begins with a webhook trigger that listens for user input, such as a city name, in a chat environment. It then leverages AI models like OpenAI’s GPT to process the user’s request, guiding the sequence of API calls.

The process involves several key nodes:

1. A webhook triggered by user messages, allowing interactive chat and input collection.

2. Sticky notes that document instructions and setup notes for workshop demonstration.

3. An HTTP request node to fetch geographic coordinates based on the city name entered by the user, utilizing Open-Meteo’s geocoding API.

4. Additional nodes to store chat history, enhancing the conversational context.

5. An AI agent node that processes the conversation, determining which API calls are needed.

6. An HTTP request node that retrieves the weather forecast using the obtained geolocation data, calling Open-Meteo’s forecast API.

The workflow showcases how AI can dynamically select tools and manage multi-step API interactions within a single chat session, making it ideal for applications such as travel planning, weather updates, or educational workshops on API integration. It demonstrates a practical use of n8n’s automation combined with AI and external weather APIs for a seamless and intelligent user experience.