Templates / Monitor multi-city courier weather risk with Open-Meteo, GPT-4o, Gemini and Slack

Monitor multi-city courier weather risk with Open-Meteo, GPT-4o, Gemini and Slack

Ready for 3.0

by Mychel Garzon ✓ · 24 views · created 2026-06-21 · DevOps, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 15 nodes and runs on a schedule (every 6 hours) (plus 1 other trigger). Along the way it connects OpenAI Chat Model, Google Gemini Chat Model and Slack.

How it runs

Trigger: On a schedule (every 6 hours) (plus 1 other trigger).

  1. City config (Code): runs custom JavaScript code
  2. Build form city config (Code): runs custom JavaScript code
  3. Fetch Open-Meteo (HTTP Request): calls an HTTP API
  4. Score + dedup (Code): runs custom JavaScript code
  5. Route (Alerts / Errors) (Switch): routes items into 2 branches
  6. OpenAi — write alerts (Basic LLM Chain): sends a prompt to an LLM, with model: OpenAI Chat Model, Google Gemini Chat Model
  7. Format Error Msg (Code): runs custom JavaScript code
  8. Format Alerts & Fallback (Code): runs custom JavaScript code
  9. Slack: uses Slack
  10. Slack: uses Slack

…plus 1 more step. See the full node list below.

Services it uses

OpenAI Chat ModelGoogle Gemini Chat ModelSlack

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (10)

From the author

Quick overview This workflow checks 48-hour forecasts from Open-Meteo for multiple cities on a 6-hour schedule or via an on-demand n8n form, scores conditions against courier-impact thresholds, uses OpenAI (with Google Gemini fallback) to draft Slack-ready…

Excerpt from Mychel Garzon's description on n8n.io.

View the original on n8n.io → Check your own copy

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