Automate Multilingual Slack Communication (JA ⇄ EN) with Gemini 2.5 Flash — Workflow n8n

Wysoka złożoność🔗 Webhook24 węzłów🏷️ Miscellaneous👁 2 wyświetleńautor: Tomohiro Goto

Przegląd

🧠 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 rest mainly speak Japanese.

Before using this workflow, our daily chat often included:
“Can someone translate this for Arif?”
“I don’t understand what Arif wrote — can someone summarize it in Japanese?”
“I need to post this announ

Użyte węzły

HTTP RequestCodeBasic LLM ChainGoogle Gemini Chat Model

Podgląd workflow

Slack Multilingual Assistant (Gemini 2.5 Flas
🔧 Three translation modes unified in one workflow:
1️⃣ /trans — Public bilingual announcements
  Format: 【from @user】 Original ---------- Translation
🔧 Create and Configure your Slack App (Trans
1️⃣ Create App
 → From scratch → Name it “TransBot” → Select your work
2️⃣ Add Bot Token Scopes in OAuth & Permissions
 • commands
 • chat
🔁 Workflow Architecture
• Webhooks:
  – /slack/trans → Slash Command
  – /slack/mention → app_mention & reaction_added even
• Language Model: Google Gemini 2.5 Flash
• Logic:
🚨 Common Errors & Fixes
❌ invalid_auth
 → Using an old token or bot not invited to channel
  Fix: Reinstall app / use latest xoxb token / `/invite
❌ missing_scope
 → A required scop
✅ Workflow is Active in n8n
✅ Slack Event Subscription Request URL shows “Verified
✅ Bot Token includes chat:write, channels:history, reac
✅ /trans Slash Command responds with “Tran
modelmodelmodel
⚡
W
Webhook (Slack /trans)
⚡
A
Ack (Respond to Slack)
Parse Slash Payload
⚡
A
Ack Mention Event
Parse Mention Event
⚡
A
Ack Reaction Event
Parse Reaction Event
Fetch Original Message
Prep Reaction Translatio…
Google Gemini Chat Model
Basic LLM Chain (/trans)
Basic LLM Chain (@trans)
Basic LLM Chain (reaction)
Format Slack Message (/t…
Format Slack Message (@t…
Format Slack Message (re…
Post to Slack (response_…
Post to Slack (@trans re…
Post to Slack (reaction …
⚡
W
Webhook (Slack @trans + …
R
Route by Event Type
S
Skip Reaction When No Me…
Filter Reaction Type
Detect Slack Event Type
24 nodes24 edges

Jak to działa

  1. 1

    Wyzwalacz

    Workflow uruchamia się wyzwalaczem webhook.

  2. 2

    Przetwarzanie

    Dane przepływają przez 24 węzłów, connecting chainllm, code, httprequest.

  3. 3

    Wyjście

    Workflow kończy automatyzację i dostarcza wynik do skonfigurowanego miejsca docelowego.

Szczegóły węzłów (24)

HT

HTTP Request

httpRequest

#1
CO

Code

code

#2
BA

Basic LLM Chain

n8n-nodes-langchain.chainLlm

#3
GO

Google Gemini Chat Model

n8n-nodes-langchain.lmChatGoogleGemini

#4

Jak zaimportować ten workflow

  1. 1Kliknij przycisk Pobierz JSON po prawej stronie, aby zapisać plik workflow.
  2. 2Otwórz swoją instancję n8n. Przejdź do Workflow → Nowy → Importuj z pliku.
  3. 3Wybierz pobrany plik automate-multilingual-slack-communication-ja-en-with-gemini-25-flash i kliknij Importuj.
  4. 4Skonfiguruj dane uwierzytelniające dla każdego węzła usługi (klucze API, OAuth itp.).
  5. 5Kliknij Testuj workflow, aby sprawdzić, czy wszystko działa, a następnie aktywuj go.

Lub wklej bezpośrednio w n8n → Importuj z JSON:

{ "name": "Automate Multilingual Slack Communication (JA ⇄ EN) with Gemini 2.5 Flash", "nodes": [...], ...}

Integracje

chainllmcodehttprequestiflmchatgooglegeminirespondtowebhookswitchwebhook

Pobierz ten workflow

Pobierz i zaimportuj jednym kliknięciem

Pobierz JSONZobacz na n8n.io
Węzły24
Złożonośćhigh
Wyzwalaczwebhook
Wyświetlenia2
KategoriaMiscellaneous

Autor

Tomohiro Goto

Tomohiro Goto

@taoo

Tagi

chainllmcodehttprequestiflmchatgooglegeminirespondtowebhookswitchwebhook
⚡

Nowy w n8n?

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