Moderate toxic text, redact PII, and audit with a Gemini HTTP API

Description

Quick Overview This workflow exposes a POST webhook that sends user text (and optional context) to Google Gemini for moderation, returning an allow/flag/block decision, toxicity level, matched categories, detected PII types, a short reason, and a cleaned version with slurs masked and PII redacted. How it works Receives a POST request on a webhook endpoint with a JSON body containing text and optional context. Sends the input to Google Gemini with instructions to classify safety (allow/flag/block), rate toxicity, identify categories, detect PII, and produce a redacted/masked cleaned_text. Parses Gemini’s response into a structured JSON object with the required moderation fields. Returns the moderation result to the caller as the webhook response. If Gemini fails to classify the text, returns a fail-safe JSON response that flags the content for human review. Setup Add a Google Gemini (PaLM) API credential for the Google Gemini Chat Model node. Activate the workflow and copy the production webhook URL from the webhook trigger. Configure your client/app to POST JSON (for example { "text": "...", "context": "..." }) to the /moderate endpoint and handle the JSON response. An n8n automation workflow template by Oka Hironobu.

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Categories

• Automation
• AI

Tags

• n8n
• workflow
• google-sheets
• slack
• code
• basic-llm-chain
• structured-output-parser
• google-gemini-chat-model

Capabilities

• 6 nodes
• 1 views

Information