Automate multilingual Slack communication (JA ⇄ EN) with Gemini 2.5 Flash

by Tomohiro Goto ✓ · 628 views · created 2025-10-25 · Miscellaneous, Multimodal AI

What this workflow does

This AI workflow has 24 nodes and runs when an HTTP POST request hits its webhook URL (plus 1 other trigger). Along the way it connects Google Gemini Chat Model. It also calls slack.com over HTTP.

How it runs

Trigger: When an HTTP POST request hits its webhook URL (plus 1 other trigger).

1. Ack (Respond to Slack) (Respond to Webhook): sends the response back to the webhook caller
2. Parse Slash Payload (Code): runs custom JavaScript code
3. Detect Slack Event Type (Code): runs custom JavaScript code
4. Basic LLM Chain: sends a prompt to an LLM, with model: Google Gemini Chat Model
5. Route by Event Type (Switch): routes items into 2 branches
6. Format Slack Message (/trans) (Code): runs custom JavaScript code
7. Ack Mention Event (Respond to Webhook): sends the response back to the webhook caller
8. Parse Mention Event (Code): runs custom JavaScript code
9. Ack Reaction Event (Respond to Webhook): sends the response back to the webhook caller
10. Parse Reaction Event (Code): runs custom JavaScript code

…plus 11 more steps. See the full node list below.

Services it uses

Google Gemini Chat Model

HTTP calls to: slack.com

Before you upgrade to n8n 3.0

Nodes used (8)

• Webhookn8n-nodes-base.webhook
• Respond to Webhookn8n-nodes-base.respondToWebhook
• Coden8n-nodes-base.code
• HTTP Requestn8n-nodes-base.httpRequest
• Google Gemini Chat Model@n8n/n8n-nodes-langchain.lmChatGoogleGemini
• Basic LLM Chain@n8n/n8n-nodes-langchain.chainLlm
• Switchn8n-nodes-base.switch
• Ifn8n-nodes-base.if

From the author

🧠 How it works This workflow automatically translates messages between Japanese and English inside Slack — perfect for mixed-language teams. In our real-world use case, our 8-person team includes Arif, an English-speaking teammate from Indonesia, while the…

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