🤖 n8n-nodes-chatbot-enhanced

🚀 Production-ready chatbot enhancement node for n8n workflows with Redis/Valkey/Upstash integration and real-time trigger capabilities.

⚡ High-performance architecture supporting 100-200+ operations per second with enterprise-grade error handling, streamlined outputs, and lean codebase.

🔥 Core Features:

💾 Buffer Message: Collect messages with human-like timing and basic anti-spam filtering
🚨 Spam detection: Advanced content filtering with pattern matching and flood protection
⏱️ Rate Limit: Smart request throttling with burst protection and adaptive penalties
📡 Real-Time Redis Trigger: Instant workflow activation on Redis key changes
📊 3 Clean Outputs: Success, Spam, and Process streams for organized workflow management
🔧 Multi-Provider Support: Redis, Valkey (recommended), and Upstash compatibility

Installation
Operations
Credentials
Compatibility
Usage
Resources
Version history

Installation

Follow the installation guide in the n8n community nodes documentation.

Install the package in your n8n installation:

# In your n8n installation directory
npm install @trigidigital/n8n-nodes-chatbot-enchanced

Or install directly from npm registry:

npm install -g @trigidigital/n8n-nodes-chatbot-enchanced

🎯 Available Nodes

This package includes two powerful nodes for comprehensive chatbot management:

1. 🤖 ChatBot Enhanced (Regular Node)

Advanced message processing with intelligent anti-spam protection

📋 Operations

💾 Buffer Message: Collect messages with human-like delays and basic spam filtering
🚨 Spam detection: Dedicated spam analysis with pattern matching and flood protection
⏱️ Rate Limit: Smart request throttling with burst protection and adaptive penalties

🔄 Streamlined Outputs (v1.0.0)

The node provides 3 focused outputs for clean workflow management:

✅ Success: Clean, processed messages and successful operations
🚨 Spam: Detected spam messages with detailed analysis and confidence scores
⚙️ Process: Status updates, buffered messages, and operational metadata

2. 🚨 ChatBot Enhanced - Trigger (Trigger Node)

Real-time Redis/Valkey monitoring using native Redis Keyspace Notifications

🎯 Native Redis Technology - No Polling Required

This trigger leverages Redis Keyspace Notifications, a built-in Redis feature for real-time event monitoring:

📡 Keyspace Notifications: Uses Redis CONFIG SET notify-keyspace-events KEA for instant event delivery
🔄 Pub/Sub Architecture: Native Redis publish/subscribe mechanism (not custom polling/cron)
⚡ Channel Patterns: Subscribes to __keyspace@{db}__:{pattern} channels for targeted monitoring
🎯 Zero Latency: Events delivered within <100ms of actual Redis operations
🚀 Enterprise-Grade: Production-ready real-time data synchronization

⚡ Real-Time Capabilities

🔍 Key Pattern Monitoring: Track specific Redis key patterns (e.g., chatbot:*, session:*)
📡 Event Type Filtering: Monitor SET, DEL, EXPIRED, and EVICTED operations
🛡️ Rate limiting: Built-in protection against event storms (100-1000 events/second)
🔄 Auto-Reconnection: Resilient connection handling with exponential backoff
📊 Value Retrieval: Automatic value fetching for SET events and intelligent caching for DEL events

⚠️ PRODUCTION RISKS - READ BEFORE DEPLOYING

🚨 Critical Performance Impact:

Redis Server Load: Keyspace notifications add 5-15% CPU overhead
Network Bandwidth: Each monitored event generates network traffic
n8n Memory Usage: Trigger instances consume ~10MB+ memory each
Connection Limits: 2 Redis connections per trigger (main + subscriber)

🛑 Potential Issues:

Event Storms: High-frequency keys can overwhelm workflows (100-1000+ events/sec)
Memory Leaks: Poor pattern design can accumulate excessive cached values
Network Failures: Connection drops result in missed events (no event replay)
Race Conditions: Rapid key updates may cause value mismatches

✅ Risk Mitigation:

// SAFE Configuration Example
{
  keyPattern: "chatbot:session:*",     // Specific, not "*"
  eventTypes: ["set", "del"],         // Only needed events
  rateLimitEnabled: true,              // Always enabled
  maxEventsPerSecond: 100              // Conservative limit
}

🔧 Production Requirements:

Redis Config: CONFIG SET notify-keyspace-events KEA (automatically configured by trigger)
Pattern Specificity: Never use * wildcard in production
Monitoring: Track Redis CPU, n8n memory, and event rates
Health Checks: Implement trigger connectivity monitoring
Circuit Breakers: Stop triggers during Redis outages

🎯 Why Redis Keyspace Notifications vs Traditional Polling?

Method	Redis Keyspace Notifications	Traditional Polling/Cron
Latency	<100ms real-time	5-60 seconds delayed
CPU Usage	Low (event-driven)	High (constant queries)
Network Traffic	Minimal (only changes)	High (regular polls)
Accuracy	100% accurate events	Can miss rapid changes
Scalability	Scales with events	Scales with poll frequency
Resource Efficiency	✅ Very efficient	❌ Wasteful

Technical Implementation:

// Redis automatically publishes to these channels:
__keyspace@0__:chatbot:session:user123   // Channel
"set"                                    // Message (event type)

// Your trigger subscribes and receives instant notifications
// No database polling, no missed events, no delays!

🚀 Performance Specifications

Regular Node (ChatBot Enhanced)

Throughput: 100-200+ operations per second
Latency: 10-50ms average response time (including Redis I/O)
Memory Usage: ~5-15MB per active session buffer
Reliability: Enterprise-grade error handling with automatic Redis reconnection
Scalability: Supports Redis clusters and high-availability setups

Trigger Node (ChatBot Enhanced - Trigger)

Event Latency: <100ms from Redis change to n8n trigger (thanks to Keyspace Notifications)
Throughput: 100-1000 events/second (configurable rate limiting with token bucket)
Memory Usage: ~10MB base + ~1KB per cached key value
Connection Architecture: 2 dedicated Redis connections (main client + pub/sub subscriber)
Reliability: Auto-reconnection with exponential backoff (5 attempts, max 30s delay)
Technology: Native Redis Keyspace Notifications (notify-keyspace-events KEA)
Channel Subscription: Pattern-based __keyspace@{db}__:{pattern} monitoring

Provider-Specific Performance

Provider	Latency	Throughput	Reliability	Best For
Local Redis	1-5ms	1000+ ops/sec	High	Development, Low-latency
Valkey	1-5ms	1200+ ops/sec	High	Production, Performance
Upstash	50-200ms	100-500 ops/sec	Very High	Serverless, Global scale

🔐 Redis Credentials & Compatibility

🎯 IMPORTANT: This node ONLY supports Redis-compatible databases. The following providers are supported:

✅ Supported Providers

1. 🔴 Redis (Version 6.0+)

Open Source: Redis 6.0-7.2 (fully supported)
Redis Stack: All Redis Stack features supported
Redis Enterprise: Production-grade with advanced features
Self-Hosted: Any Redis 6.0+ installation

2. 🟦 Valkey (Version 7.2+) - 🏆 HIGHLY RECOMMENDED FOR SELF-HOSTED

Superior Performance: ~15-20% better memory efficiency vs Redis
Trigger Stability: More stable for real-time Redis trigger operations
Open Source: 100% open source fork of Redis 7.2
Drop-in Replacement: Perfect Redis compatibility with better performance
Future-Proof: No licensing concerns like Redis 7.4+
Active Development: Community-driven with frequent stability improvements
Production Ready: Optimized for enterprise workloads and trigger reliability

3. ☁️ Upstash - CLOUD RECOMMENDED

Serverless Redis: Global edge locations with sub-10ms latency
REST API: HTTP-based Redis interface (supports Redis protocol too)
Auto-Scaling: Automatic scaling based on usage
Built-in Security: TLS encryption and authentication by default
Free Tier: 10,000 commands daily for testing

🔧 Connection Configuration Options

Individual Fields

Host: Redis server hostname/IP
Port: Redis server port (default: 6379)
Database: Redis database number (0-15)
Authentication Type: None, Password Only, or Username & Password
SSL/TLS: Enable encrypted connections

🔐 Authentication Methods

Method	Redis Version	Use Case	Security Level
None	All	Development/Local	⚠️ Low
Password Only	All	Basic production	🟡 Medium
Username + Password	6.0+	Advanced production	🟢 High
SSL/TLS	All	Cloud/Internet	🔒 Very High

🚨 UPSTASH SPECIAL CONFIGURATION

Upstash requires specific settings for optimal performance:

// Upstash Connection Settings
{
  host: "your-endpoint.upstash.io",
  port: 6380,
  password: "your-upstash-password",
  ssl: true,                          // Always required
  authType: "password",               // Username not needed
  connectionTimeout: 10000,           // Higher timeout for global latency
}

⚠️ Upstash Limitations:

Global Latency: 50-200ms depending on region
Command Limits: Rate limiting based on plan
Redis Modules: Limited Redis module support
Persistence: Automatic persistence (cannot be disabled)

🧪 Connection Testing

All credential configurations include automatic connection testing:

✅ Connection Validation: Tests host/port connectivity
✅ Authentication Check: Validates credentials
✅ Database Access: Confirms database permissions
✅ SSL Handshake: Verifies certificate chain (if SSL enabled)
✅ Command Execution: Tests basic Redis operations (PING, SET, GET)

🔒 Security Best Practices

Production Security Checklist

Use SSL/TLS for all external connections
Enable Authentication (password minimum, username+password preferred)
Network Isolation: Redis server not exposed to internet
Regular Password Rotation: Change credentials quarterly
Connection Limits: Monitor Redis connection counts
Audit Logging: Enable Redis command logging for security events

Credential Storage Security

n8n Encryption: Credentials encrypted at rest in n8n database
Environment Variables: Use env vars for sensitive production credentials
Credential Isolation: Separate credentials for dev/staging/production
Access Control: Limit credential access to authorized team members

❌ Unsupported Databases

The following databases are NOT compatible:

❌ MongoDB: Different protocol and data model
❌ MySQL/PostgreSQL: SQL databases, not key-value stores
❌ Elasticsearch: Search engine, different API
❌ DynamoDB: AWS NoSQL service, different protocol
❌ Memcached: Similar but incompatible protocol
❌ Apache Cassandra: Wide-column store, different architecture

Compatibility

Minimum n8n version: 1.0.0
Node.js version: 20.15 or higher
Redis/Valkey version: 6.0 or higher (recommended)
Tested against: n8n versions 1.0.0+

Known Compatibility Issues

Redis versions below 6.0 may not support username/password authentication
Some advanced features require Redis 6.2+ for optimal performance
SSL/TLS features require proper certificate configuration

💡 Usage Guide

🚀 Quick Start

Step 1: Setup Redis Credentials

Go to n8n Credentials → Create New → Redis
Choose your provider and configuration:
- Redis/Valkey: Use connection string or individual fields
- Upstash: Always use SSL and password authentication
Test Connection to verify setup

Step 2A: Add Regular Node (ChatBot Enhanced)

Drag Node: Add "ChatBot Enhanced" to your workflow
Select Credentials: Choose your Redis credentials
Choose Operation:
- Buffer Message - For human-like response timing
- Spam detection - For content filtering
- Rate Limit - For request throttling
Configure Parameters (see examples below)
Connect Outputs: Success, Spam, and Process outputs

Step 2B: Add Trigger Node (ChatBot Enhanced - Trigger)

Drag Trigger: Add "ChatBot Enhanced - Trigger" to start workflow
Select Credentials: Choose your Redis credentials
Configure Monitoring:
- Key Pattern: chatbot:session:* (be specific!)
- Event Types: ["SET", "DEL"] (only what you need)
- Rate limiting: Keep enabled (100 events/sec)
Test Trigger: Create a test key in Redis

🎆 Complete Workflow Examples

Example 1: Human-Like Chatbot with Spam Protection

Webhook → ChatBot Enhanced (Buffer message) → AI Processing
                    ↓ (Spam Output)
                 Spam Handler

Configuration:

// ChatBot Enhanced Node - Buffer message Operation
Session Key: {{$json.from}}              // User ID from webhook
Message Content: {{$json.message}}        // User message
Buffer Time: 15                           // 15-second human-like delay
Buffer Size: 50                           // Max 50 messages per batch
Buffer Pattern: "Collect & Send All"      // Send all messages together
Anti-Spam Detection: "Repeated Text"      // Basic spam filtering

// Connect Outputs:
// Success → Continue to AI processing
// Spam → Send warning message
// Process → Log buffering status

Example 2: Real-Time Session Management

Redis Trigger → Session Processor → User Notification

Configuration:

// ChatBot Enhanced - Trigger Node
Key Pattern: "session:active:*"           // Monitor active sessions
Event Types: ["SET", "EXPIRED"]           // New sessions and expiry
Max Events Per Second: 50                 // Conservative limit
Include Metadata: true                    // For debugging

// Processes:
// SET events → Welcome new user
// EXPIRED events → Send "session ended" notification

Example 3: Advanced Content Filtering Pipeline

Webhook → Spam detection → Rate limit → Content Processing

Configuration:

// Node 1: ChatBot Enhanced - Spam detection
Detection Type: "Combined Detection"      // Multiple methods
Action: "Block"                          // Block spam completely
Similarity Threshold: 85                 // 85% similarity = spam
Predefined Patterns: ["URLs", "Emails"]  // Block URLs and emails

// Node 2: ChatBot Enhanced - Rate limit Operation  
Limit Type: "Per User"                   // Individual user limits
Algorithm: "Token Bucket"               // Allow message bursts
Max Requests: 20                         // 20 messages per minute
Burst Limit: 5                          // Allow 5-message bursts

👥 Real-World Use Cases

Use Case 1: WhatsApp Business Bot

// Problem: Users send multiple messages rapidly
// Solution: Buffer messages for 10 seconds, then respond once

Buffer message Configuration:
{
  sessionKey: "{{$json.from}}",           // WhatsApp number
  messageContent: "{{$json.body}}",        // Message text
  bufferTime: 10,                         // Wait 10 seconds
  antiSpamType: "flood"                   // Prevent message flooding
}

// Workflow:
// User: "Hello"
// User: "How are you?" 
// User: "I need help"
// Bot waits 10 seconds...
// Bot: Processes all 3 messages together, responds once

Use Case 2: Gaming Chat Moderation

// Problem: Players send spam and toxic content
// Solution: Multi-layer spam detection with automatic penalties

Spam detection Configuration:
{
  detectionType: "combined",              // All detection methods
  spamAction: "block",                   // Block spam messages
  predefinedPatterns: ["urls", "repeated_chars"],
  customPatterns: "(noob|toxic|banned)", // Game-specific patterns
  floodMaxMessages: 5,                    // Max 5 messages per minute
  floodTimeWindow: 60
}

Rate limit Configuration:
{
  limitType: "smart_adaptive",           // Learns user patterns
  maxRequests: 30,                       // 30 messages per minute
  penaltyMultiplier: 3.0,               // 3x penalty for violations
  enableAdaptive: true                   // Adjust limits automatically
}

Use Case 3: Customer Support Queue Management

// Problem: Monitor support ticket status changes in real-time
// Solution: Redis trigger monitors ticket keys, routes to appropriate agents

Trigger Configuration:
{
  keyPattern: "support:ticket:*",         // All support tickets
  eventTypes: ["set", "del", "expired"],  // Status changes
  rateLimitEnabled: true,                 // Prevent event storms
  maxEventsPerSecond: 200                 // Handle high ticket volume
}

// Event Handling:
// SET → New ticket or status update → Notify agent
// EXPIRED → Ticket timeout → Escalate to supervisor  
// DEL → Ticket resolved → Send satisfaction survey

🚀 Advanced Chatbot Scenarios - Redis Trigger + Built-in Redis Node

💡 Philosophy: Keep this custom node simple while leveraging n8n's built-in Redis node for complex logic. This approach helps users learn in-memory database concepts without overwhelming custom node complexity.

Scenario 1: Auto Follow-Up Based on Phone Number Sessions

Redis Node (SET with TTL) → Redis Trigger (EXPIRED) → WhatsApp Follow-up

Workflow Design:

// Step 1: User starts conversation - Use built-in Redis Node
// Node: Redis (Built-in n8n node)
Action: "Set"
Key: "session:phone:{{$json.from}}"        // e.g., session:phone:+628123456789  
Value: JSON.stringify({
  lastMessage: "{{$json.body}}",
  timestamp: "{{new Date().toISOString()}}",
  stage: "awaiting_response"
})
TTL: 120                                   // 2 minutes auto-expire

// Step 2: Monitor session expiry - Use ChatBot Enhanced Trigger
// Node: ChatBot Enhanced - Trigger  
Key Pattern: "session:phone:*"
Event Types: ["EXPIRED"]                   // Only expired events
Max Events Per Second: 50

// Step 3: Auto follow-up logic - Use built-in nodes
// When trigger fires with expired session:
// → Check if user is still active with Redis GET
// → Send follow-up message via WhatsApp/Telegram
// → Create new session with different TTL

Complete Workflow Example:

[Webhook: New WhatsApp Message] 
    ↓
[Built-in Redis Node: SET session with 2min TTL]
    ↓  
[ChatBot Enhanced: Process message with buffer/spam detection]
    ↓
[Send Response via WhatsApp Node]

// Parallel workflow triggered by expiry:
[ChatBot Enhanced - Trigger: Monitor session:phone:*]
    ↓ (EXPIRED event)
[Built-in Redis Node: GET user profile for context]
    ↓
[IF: User hasn't responded AND conversation unfinished]
    ↓
[WhatsApp Node: Send follow-up message]
    ↓
[Built-in Redis Node: SET new session with 5min TTL]

Scenario 2: Smart Session Management with Redis TTL

// Learning Opportunity: Master Redis TTL patterns for chatbots

// Phase 1: Initial Contact (5 min TTL)
Key: "chat:initial:+628123456789"
Value: { stage: "greeting", attempts: 1 }
TTL: 300 seconds

// Phase 2: Active Conversation (30 min TTL) 
Key: "chat:active:+628123456789"
Value: { stage: "conversation", context: "support_request" }
TTL: 1800 seconds

// Phase 3: Dormant Session (24 hours TTL)
Key: "chat:dormant:+628123456789" 
Value: { stage: "dormant", lastActivity: timestamp }
TTL: 86400 seconds

// Trigger monitors ALL patterns:
Key Pattern: "chat:*:*"
Event Types: ["SET", "EXPIRED"]

// Business Logic via Built-in Redis + IF Nodes:
// EXPIRED chat:initial:* → Send "Still need help?" message
// EXPIRED chat:active:* → Move to dormant state  
// EXPIRED chat:dormant:* → Archive conversation history
// SET chat:active:* → Cancel dormant timers

Scenario 3: E-commerce Cart Abandonment Recovery

Shopping Flow → Redis TTL → Auto Recovery → Conversion Tracking

Implementation:

// Step 1: Cart Creation (Built-in Redis Node)
Key: "cart:{{$json.userId}}:{{$json.cartId}}"
Value: {
  items: [/* cart items */],
  total: 150000,
  stage: "active",
  phone: "+628123456789"
}
TTL: 1800  // 30 minutes

// Step 2: Trigger Setup (ChatBot Enhanced - Trigger)
Key Pattern: "cart:*:*"
Event Types: ["EXPIRED", "SET", "DEL"]

// Step 3: Recovery Logic (Built-in nodes)
// EXPIRED → Check if cart value > 100k → Send discount offer
// SET → Reset abandonment timer 
// DEL → Conversion completed, send thank you message

// Advanced: Multi-stage abandonment
// 15 min: "Complete your purchase for 5% discount"
// 30 min: "10% discount expires in 5 minutes!"  
// 60 min: "We've saved your cart, return anytime"

Scenario 4: Customer Service Priority Queue

// Priority-based customer routing using Redis scoring

// High Priority (VIP customers) - 1 hour response time
Key Pattern: "support:vip:*"
TTL: 3600
Trigger Action: Immediate supervisor notification

// Regular Priority - 4 hour response time  
Key Pattern: "support:regular:*"
TTL: 14400
Trigger Action: Agent assignment

// Low Priority (FAQ-level) - 24 hour response time
Key Pattern: "support:faq:*" 
TTL: 86400
Trigger Action: Auto-response with FAQ links

// Escalation Logic:
// EXPIRED support:vip:* → Emergency escalation + SMS alert
// EXPIRED support:regular:* → Move to priority queue
// EXPIRED support:faq:* → Archive or auto-close

Scenario 5: Multi-Channel Session Synchronization

// Sync conversations across WhatsApp, Telegram, Web Chat

// Unified Session Key Pattern
Key Pattern: "unified:{{phone_number}}:*"

// Channel-specific keys with same phone number:
"unified:+628123456789:whatsapp"    // TTL: 30 min
"unified:+628123456789:telegram"    // TTL: 30 min  
"unified:+628123456789:webchat"     // TTL: 15 min

// Trigger monitors all channels:
Key Pattern: "unified:*:*"
Event Types: ["SET", "EXPIRED"]

// Smart routing logic:
// SET on any channel → Extend TTL on all other channels
// EXPIRED on primary channel → Switch context to active channel
// Multiple SET events → Detect channel switching, maintain context

🎓 Learning Redis In-Memory Database Concepts

Why This Approach Works:

🎯 Focused Custom Node: Only handles chatbot-specific features (buffer, spam, triggers)
🧠 Redis Learning: Users master Redis TTL, patterns, and data structures with built-in nodes
🔄 Flexibility: Mix and match Redis operations without custom node limitations
📚 Skill Development: Users learn enterprise-level in-memory database patterns

Redis Concepts You'll Master:

TTL Management: Auto-expiring keys for session management
Key Pattern Design: Hierarchical naming for organized data
Pub/Sub Events: Real-time notifications via Keyspace events
Data Structures: JSON storage, counters, sets for complex logic
Memory Optimization: Efficient key naming and cleanup strategies

Built-in Redis Node Operations to Combine:

GET/SET - Basic key-value operations
EXPIRE/TTL - Time-based session management
EXISTS - Conditional logic branching
INCR/DECR - Counters for rate limiting
HGET/HSET - Hash operations for user profiles
SADD/SMEMBERS - Sets for user groups/tags

🛠 Configuration Best Practices

✅ DO - Production Ready

// Specific key patterns
keyPattern: "myapp:session:*"            // Good - specific
keyPattern: "cache:user:profile:*"       // Good - hierarchical

// Conservative settings
maxEventsPerSecond: 100                  // Safe default
connectionTimeout: 5000                  // 5-second timeout
reconnectAttempts: 5                     // Limited retries

// Essential monitoring
includeMetadata: true                    // For debugging
rateLimitEnabled: true                   // Always enabled

❌ DON'T - Dangerous in Production

// Dangerous patterns
keyPattern: "*"                          // NEVER - monitors everything
keyPattern: "user:*"                     // Too broad - millions of events

// Risky settings
maxEventsPerSecond: 10000                // Will overwhelm workflows
rateLimitEnabled: false                  // Dangerous - no protection
reconnectAttempts: 100                   // Excessive reconnection

// Performance killers
keyPattern: "analytics:*"                // High-frequency events
eventTypes: ["set", "del", "expired", "evicted"] // All events = overload

📊 Monitoring & Debugging

Essential Metrics to Track

// Redis Metrics
- Connection count (max 2 per trigger)
- CPU usage (should not exceed +15%)
- Memory usage (monitor growth)
- Command/second rate

// n8n Metrics  
- Workflow execution count
- Node memory consumption
- Error rates per operation
- Buffer overflow incidents

// Business Metrics
- Spam detection accuracy
- False positive rates
- User satisfaction scores
- Response time improvements

Debug Configuration

// Enable verbose logging
{
  includeMetadata: true,                  // Adds debug info
  advancedOptions: {
    connectionTimeout: 10000,             // Longer timeout for testing
    includeMetadata: true                 // Detailed event data
  }
}

// Watch for these log messages:
// "🔥 REDIS EVENT RECEIVED" - Confirms trigger working
// "📝 PARSED EVENT DATA" - Shows event processing
// "💾 Using cached value" - Value caching working
// "🚦 EVENT FILTERED" - Event filtering active

🔄 Migration & Upgrades

From Basic Redis to Valkey

Deploy Valkey alongside existing Redis
Update n8n credentials with Valkey connection details
Test thoroughly with non-production workflows
Migrate gradually - start with less critical workflows
Monitor performance - expect 15-20% improvement
Decommission Redis after successful migration

From Self-Hosted to Upstash

Create Upstash database (free tier available)
Update connection settings:
- Enable SSL/TLS
- Use password authentication
- Increase connection timeout to 10s
Test latency impact (expect 50-200ms increase)
Adjust buffer times if needed for global latency
Monitor command usage against Upstash limits

📚 Expression Reference

Common Expressions

// Dynamic session keys
Session Key: {{$json.userId || $json.from || $json.sessionId || "anonymous"}}

// Message content extraction
Message Content: {{$json.message || $json.text || $json.body || $json.content}}

// Conditional buffer time
Buffer Time: {{$json.urgent ? 5 : 30}}   // 5s for urgent, 30s for normal

// Dynamic spam thresholds
Similarity Threshold: {{$json.chatType === "support" ? 90 : 80}}

// Environment-based patterns
Key Pattern: {{$vars.environment}}.chatbot.session.*

Advanced Expressions

// User role-based rate limiting
Max Requests: {{$json.userRole === "premium" ? 100 : 20}}

// Time-based buffer adjustment
Buffer Time: {{new Date().getHours() >= 9 && new Date().getHours() <= 17 ? 15 : 60}}

// Multi-field message combining  
Message Content: {{[$json.text, $json.attachment?.caption].filter(Boolean).join(' ')}}

// Conditional spam action
Spam Action: {{$json.isFirstTimeUser ? "warn" : "block"}}

🎯 Message Buffering + 🛡️ Anti-Spam - Human-Like Response (v1.0.0)

⏱️ Optimized TimedBuffer Implementation with Built-in Anti-Spam Protection - The core feature for human-like chatbot responses:

🧠 How It Works (TimedBuffer Logic + Anti-Spam)

// REAL BEHAVIOR with anti-spam protection:

Chat 1: "Hello"                → Master Execution: Start 10s timer, wait...
Chat 2: "How are you?"         → Slave Execution: Add to buffer, extend timer, return "pending"
Chat 3: "spam spam spam"       → Slave Execution: 🛡️ BLOCKED by anti-spam detection!
Chat 4: "What's your name?"    → Slave Execution: Add to buffer, extend timer, return "pending"

After 10 seconds              → Master Execution: Return CLEAN MESSAGES only!
// Output: ["Hello", "How are you?", "What's your name?"] (spam filtered out)

🛡️ Anti-Spam Detection Features

Repeated Text Detection: Automatically blocks duplicate or very similar messages
Flood Protection: Prevents rapid message spamming within time windows
Pattern Recognition: Detects URLs, excessive caps, phone numbers, emails
Custom Regex Patterns: Advanced users can define custom spam patterns
Configurable Actions: Block, delay, or mark spam messages
Smart Filtering: Only clean messages are included in the final batch

🔄 Execution Pattern

Master Execution: First message creates buffer, waits for timer, collects all messages
Slave Executions: Subsequent messages extend timer, add to buffer, return immediately
Natural Delay: Human-like response delay (not instant robot replies)
Batch Collection: All messages returned together after timeout

⚙️ Configuration Examples

Buffer message Operation

// Basic Message Buffering
Session Key: {{$json.userId}}
Message Content: {{$json.message}}
Buffer Time: 30                          // seconds
Buffer Size: 100                         // max messages
Buffer Pattern: "collect_send"           // send all at once

// Anti-Spam Protection (Optional - for backward compatibility)
Anti-Spam Detection: "Repeated Text"     // Basic spam detection

Spam detection Operation (Dedicated)

// Advanced Spam detection
Session Key: {{$json.userId}}
Message Content: {{$json.message}}
Detection Type: "Combined Detection"     // Multiple methods
Action on Detection: "Block"              // Block spam messages
Similarity Threshold: 80                 // % similarity for repeated content
Flood Max Messages: 10                   // messages per time window
Flood Time Window: 60                    // seconds
Predefined Patterns: ["URLs", "Emails"]  // Built-in pattern detection

Rate limit Operation

// Smart Rate limit
Session Key: {{$json.userId}}
Limit Type: "Per User"                   // or "Global", "Smart Adaptive"
Algorithm: "Token Bucket"               // Allow bursts
Max Requests: 10                         // per time window
Time Window: 60                          // seconds
Burst Limit: 15                          // max burst size

Redis Trigger Configuration

// Safe Production Setup
Key Monitoring: "Choose Key"             // Never use "Track All" in production
Key Pattern: "chatbot:session:*"         // Specific pattern
Event Types: ["SET", "DEL"]              // Only needed events
Rate limiting: true                      // Always enabled
Max Events Per Second: 100               // Conservative limit

// Advanced Options
Connection Timeout: 5000                 // ms
Reconnect Attempts: 5                    // before giving up
Include Event Metadata: true             // For debugging

🎯 Perfect For:

Human-like Chatbots: Wait for multiple messages before responding (like humans do)
Conversation Context: Collect user's complete thought before processing
Natural UX: Avoid instant robot-like responses + filter out spam
WhatsApp/Telegram Style: Mimic how humans read 2-3 messages then respond
🛡️ Customer Support: Automatically handle spam attempts and repeated messages
🚀 High-Volume Bots: Built-in protection against abuse and flooding

⚠️ Production Requirements:

Execution Timeout: Set workflow timeout to 60 seconds
Redis Monitoring: Health checks for buffer persistence
Resource Planning: Each session = 1 long-running execution
Traffic Limits: Optimal for 5-50 concurrent users

📊 Response Types by Operation

Buffer message Responses

// Buffered (Chat 2,3,4...)
{
  "type": "buffered", 
  "status": "pending", 
  "message": "How are you?",
  "spamDetection": {
    "isSpam": false,
    "actionTaken": "allowed"
  }
}

// Spam Blocked
{
  "type": "spam_blocked",
  "status": "blocked", 
  "message": "spam spam spam",
  "spamDetection": {
    "isSpam": true,
    "spamType": "repeated",
    "confidence": 95,
    "actionTaken": "blocked"
  }
}

// Batch Ready (After timer - Clean Messages Only!)
{
  "type": "buffer_flush", 
  "trigger": "time",
  "messages": ["Hello", "How are you?", "What's your name?"],
  "totalMessages": 4,
  "spamAnalysis": {
    "spamDetected": true,
    "spamCount": 1,
    "cleanCount": 3
  },
  "sessionId": "user123",
  "timestamp": 1754429268590
}

Spam detection Responses

// Spam Detected
{
  "type": "spam_detected",
  "message": "spam content here",
  "spamType": "repeated",
  "confidence": 95,
  "actionTaken": "blocked",
  "reason": "Message similarity above threshold",
  "sessionId": "user123",
  "timestamp": 1754429268590
}

// Clean Message
{
  "type": "clean_message",
  "message": "hello there",
  "confidence": 5,
  "sessionId": "user123",
  "timestamp": 1754429268590
}

Rate limit Responses

// Request Allowed
{
  "type": "rate_limit_allowed",
  "message": "user message",
  "remainingRequests": 7,
  "resetTime": 1754429328590,
  "algorithm": "token_bucket",
  "sessionId": "user123"
}

// Rate Limit Exceeded
{
  "type": "rate_limit_exceeded",
  "message": "blocked message",
  "remainingRequests": 0,
  "retryAfter": 45,
  "sessionId": "user123"
}

Redis Trigger Event Data

// Redis Key Change Event
{
  "eventType": "set",
  "key": "chatbot:session:user123",
  "value": "session_data_here",
  "database": 0,
  "timestamp": "2025-08-05T10:30:45.123Z",
  "metadata": {
    "pattern": "chatbot:session:*",
    "triggerId": "trigger-node-id",
    "workflowId": "workflow-id",
    "nodeVersion": 1
  }
}

🏗️ Architecture & Performance

Lean Architecture (v1.0.0):

🔧 RedisManager: Connection handling with auto-retry and health checks
🛡️ SpamDetector: Hash-based similarity detection, flood protection, pattern matching
⏱️ RateLimiter: Token bucket and sliding window algorithms with penalties
🚨 RedisTriggerManager: Real-time keyspace notification monitoring with event filtering

Performance Optimizations:

Connection pooling for high-volume scenarios
Batch processing for Redis operations
Memory compression for large datasets
TTL-based automatic cleanup
Health monitoring and alerting

Resources

Version history

1.0.0 (Current) - Production-Ready Stable Release

🎯 PRODUCTION-READY ARCHITECTURE

Lean Codebase: 56% size reduction by removing unused enterprise features
Focused Operations: Buffer message, spam detection, and rate limiting as core operations
Streamlined Outputs: 3 clean outputs (Success, Spam, Process) for organized workflows
Optimized Performance: Production-ready for 100-200+ operations per second

🚨 REDIS KEYSPACE NOTIFICATIONS TRIGGER

Native Redis Technology: Uses Redis notify-keyspace-events KEA for real-time monitoring
Pub/Sub Architecture: Dedicated subscriber connection to __keyspace@{db}__:{pattern} channels
Zero-Polling Design: Event-driven notifications (no database polling/cron jobs required)
Sub-100ms Latency: Instant workflow activation on Redis key changes
Event Type Filtering: SET, DEL, EXPIRED, and EVICTED operations with smart filtering
Pattern Matching: Advanced glob pattern support (*, ?, **) for targeted monitoring
Enterprise Reliability: Auto-reconnection, rate limiting, and value caching
Production Ready: Comprehensive error handling and performance optimization

🛡️ COMPREHENSIVE SPAM PROTECTION

Multiple Detection: Repeated content, flood protection, pattern matching
Configurable Actions: Block, delay, mark, or warn spam messages
Pattern Library: Built-in detection for URLs, emails, phone numbers
Custom Patterns: User-defined regex pattern support
Hash-Based Performance: Efficient similarity detection with Redis persistence

⏱️ SMART RATE LIMITING

Token Bucket & Sliding Window: Multiple algorithm support
Per-User/Global Limits: Flexible limiting strategies
Penalty System: Automatic violation penalties
Burst Protection: Configurable burst limits

✨ DEVELOPER EXPERIENCE

Clear Parameter Organization: Intuitive parameter grouping
Real-Time Validation: Instant parameter validation with helpful errors
Built-In Testing: Connection testing and configuration validation
Debug Support: Comprehensive metadata for troubleshooting

Name		Name	Last commit message	Last commit date
Latest commit History 45 Commits
.vscode		.vscode
nodes/ChatBotEnhanced		nodes/ChatBotEnhanced
.editorconfig		.editorconfig
.eslintrc.js		.eslintrc.js
.eslintrc.prepublish.js		.eslintrc.prepublish.js
.gitignore		.gitignore
.npmignore		.npmignore
.prettierrc.js		.prettierrc.js
CHANGELOG.md		CHANGELOG.md
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
LICENSE.md		LICENSE.md
README.md		README.md
gulpfile.js		gulpfile.js
index.js		index.js
jest.config.js		jest.config.js
jest.setup.js		jest.setup.js
package-lock.json		package-lock.json
package.json		package.json
tsconfig.json		tsconfig.json

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🤖 n8n-nodes-chatbot-enhanced

Installation

🎯 Available Nodes

1. 🤖 ChatBot Enhanced (Regular Node)

📋 Operations

🔄 Streamlined Outputs (v1.0.0)

2. 🚨 ChatBot Enhanced - Trigger (Trigger Node)

🎯 Native Redis Technology - No Polling Required

⚡ Real-Time Capabilities

⚠️ PRODUCTION RISKS - READ BEFORE DEPLOYING

🎯 Why Redis Keyspace Notifications vs Traditional Polling?

🚀 Performance Specifications

Regular Node (ChatBot Enhanced)

Trigger Node (ChatBot Enhanced - Trigger)

Provider-Specific Performance

🔐 Redis Credentials & Compatibility

✅ Supported Providers

1. 🔴 Redis (Version 6.0+)

2. 🟦 Valkey (Version 7.2+) - 🏆 HIGHLY RECOMMENDED FOR SELF-HOSTED

3. ☁️ Upstash - CLOUD RECOMMENDED

🔧 Connection Configuration Options

Individual Fields

🔐 Authentication Methods

🚨 UPSTASH SPECIAL CONFIGURATION

🧪 Connection Testing

🔒 Security Best Practices

Production Security Checklist

Credential Storage Security

❌ Unsupported Databases

Compatibility

Known Compatibility Issues

💡 Usage Guide

🚀 Quick Start

Step 1: Setup Redis Credentials

Step 2A: Add Regular Node (ChatBot Enhanced)

Step 2B: Add Trigger Node (ChatBot Enhanced - Trigger)

🎆 Complete Workflow Examples

Example 1: Human-Like Chatbot with Spam Protection

Example 2: Real-Time Session Management

Example 3: Advanced Content Filtering Pipeline

👥 Real-World Use Cases

Use Case 1: WhatsApp Business Bot

Use Case 2: Gaming Chat Moderation

Use Case 3: Customer Support Queue Management

🚀 Advanced Chatbot Scenarios - Redis Trigger + Built-in Redis Node

Scenario 1: Auto Follow-Up Based on Phone Number Sessions

Scenario 2: Smart Session Management with Redis TTL

Scenario 3: E-commerce Cart Abandonment Recovery

Scenario 4: Customer Service Priority Queue

Scenario 5: Multi-Channel Session Synchronization

🎓 Learning Redis In-Memory Database Concepts

🛠 Configuration Best Practices

✅ DO - Production Ready

❌ DON'T - Dangerous in Production

📊 Monitoring & Debugging

Essential Metrics to Track

Debug Configuration

🔄 Migration & Upgrades

From Basic Redis to Valkey

From Self-Hosted to Upstash

📚 Expression Reference

Common Expressions

Advanced Expressions

🎯 Message Buffering + 🛡️ Anti-Spam - Human-Like Response (v1.0.0)

🧠 How It Works (TimedBuffer Logic + Anti-Spam)

🛡️ Anti-Spam Detection Features

🔄 Execution Pattern

⚙️ Configuration Examples

Buffer message Operation

Spam detection Operation (Dedicated)

Rate limit Operation

Redis Trigger Configuration

🎯 Perfect For:

⚠️ Production Requirements:

📊 Response Types by Operation