Slack Integration

The Tuteliq Slack bot monitors channels for grooming, bullying, and unsafe content in real time using the Tuteliq API. Add it to your workspace with one click or self-host on your own infrastructure.

Add to Slack

Add the bot to your Slack workspace

Landing Page

Features overview and pricing

Self-Host

Clone and deploy on your own infrastructure

Installation

Hosted app (recommended)

Click the Add to Slack button above to install the bot into your workspace. No code required — configure everything with slash commands. The bot requests the following permissions:

Scope	Purpose
`channels:join`	Join public channels selected for monitoring
`channels:history`	Read messages in monitored public channels
`channels:read`	List available channels
`groups:history`	Read messages in monitored private channels
`groups:read`	List available private channels
`chat:write`	Post safety alerts to the alert channel
`im:history`	Read direct messages (when opted in)
`im:write`	Send DM notifications to admins
`commands`	Register slash commands
`users:read`	Resolve user display names in alerts

Self-host

git clone https://github.com/Tuteliq/slack.git
cd slack
npm install
cp .env.example .env
# Fill in your values (see Self-Hosting section below)
npm run build
npm start

Quick start

Install the bot

Click Add to Slack and authorize the bot in your workspace.

Configure your API key

Run /tuteliq setup — a modal dialog will open where you enter your Tuteliq API key (starts with tq_) and select the alert channel. The key is encrypted at rest with AES-256.

Select channels to monitor

Choose which channels to monitor during setup. Leave empty to monitor all channels.

Verify the setup

Run /tuteliq status to confirm the bot is active and view your current configuration.

How it works

Messages in monitored channels flow through a multi-stage pipeline:

Crisis keywords — Messages containing crisis phrases (e.g. self-harm, exploitation) trigger an immediate API call for instant analysis.
Grooming buffer — Messages are accumulated per channel. When the buffer has enough context from multiple senders, a conversation analysis is sent for grooming detection.
Batch queue — All other messages are batched and sent to the Tuteliq API for efficient bullying and unsafe content detection.
Alert — When a risk score exceeds your sensitivity threshold, an alert is posted to your configured alert channel with severity, risk score, message excerpt, and recommended action.
Act — Admins take action directly from the alert using interactive buttons.

Slash commands

All commands live under the /tuteliq prefix and require workspace admin permissions.

Command	Description
`/tuteliq setup`	Configure the bot with your Tuteliq API key via modal dialog
`/tuteliq status`	View current configuration, stats, and quota usage
`/tuteliq sensitivity <level>`	Set detection sensitivity level
`/tuteliq reset`	Remove all Tuteliq configuration from the workspace
`/tuteliq help`	Display the help message

Alert actions

When a threat is detected, the alert message includes interactive buttons:

Action	Effect
Delete	Removes the flagged message from the channel
Timeout	Removes the user from the channel
Report	Shows the full incident report with rationale and context
Dismiss	Marks the alert as reviewed without action

Sensitivity levels

Level	Threshold	Best for
`low`	70%+	Minimal alerts, only clear violations
`medium`	50%+	Balanced — good default for most workspaces
`high`	30%+	Stricter monitoring, catches more subtle threats
`maximum`	10%+	Maximum protection — useful for testing or high-risk communities

Set the level with /tuteliq sensitivity <level>.

Self-hosting

Requirements

Node.js 20+
Slack app with Bot Token and Signing Secret
Tuteliq API key
Firebase project with Firestore enabled
Firebase service account key (JSON)

Environment variables

# Slack App
SLACK_BOT_TOKEN=xoxb-your-bot-token
SLACK_SIGNING_SECRET=your-signing-secret
SLACK_APP_TOKEN=xapp-your-app-token         # Optional, for Socket Mode
SLACK_SOCKET_MODE=false                       # Set to true for Socket Mode

# Tuteliq API
TUTELIQ_API_URL=https://api.tuteliq.ai

# Encryption (generate with: node -e "console.log(require('crypto').randomBytes(32).toString('hex'))")
ENCRYPTION_KEY=your-64-hex-char-encryption-key

# Firebase
GOOGLE_APPLICATION_CREDENTIALS=./service-account.json

# Server
PORT=8080
NODE_ENV=production
LOG_LEVEL=info

Docker

docker compose up -d

Cloud Run

gcloud builds submit --config=slack/cloudbuild.yaml .

Cloud Run deployment uses 512 MiB memory, 1 CPU, and keeps 1 minimum instance running for low-latency responses.

Health check

The bot exposes a health endpoint at GET /health on the configured port (default 8080). It returns 200 with { "status": "ok" } when the bot is running.

Getting Started

SDKs

Integrations

Verification

Advanced

Compliance

Slack Integration

Add to Slack

Landing Page

Self-Host

Installation

Hosted app (recommended)

Self-host

Quick start

How it works

Slash commands

Alert actions

Sensitivity levels

Self-hosting

Requirements

Environment variables

Docker

Cloud Run

Health check

Next steps

API Reference

Discord Integration

Add to Slack

Landing Page

Self-Host

​Installation

​Hosted app (recommended)

​Self-host

​Quick start

​How it works

​Slash commands

​Alert actions

​Sensitivity levels

​Self-hosting

​Requirements

​Environment variables

​Docker

​Cloud Run

​Health check

​Next steps

API Reference

Discord Integration

Installation

Hosted app (recommended)

Self-host

Quick start

How it works

Slash commands

Alert actions

Sensitivity levels

Self-hosting

Requirements

Environment variables

Docker

Cloud Run

Health check

Next steps