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* Refactor README for better structure and readability

Updated README to improve formatting and clarity.

* Initial plan

* Initial plan

* Initial plan

* Initial plan

* Comprehensive deployment infrastructure implementation

Co-authored-by: sahiixx <221578902+sahiixx@users.noreply.github.com>

* Add comprehensive deployment infrastructure - Docker, K8s, CI/CD, scripts

Co-authored-by: sahiixx <221578902+sahiixx@users.noreply.github.com>

* Add files via upload

* Complete deployment implementation - tested and working production deployment

Co-authored-by: sahiixx <221578902+sahiixx@users.noreply.github.com>

* Revert "Implement comprehensive deployment infrastructure for n8n-workflows documentation system"

* Update docker-compose.prod.yml

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update scripts/health-check.sh

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: dopeuni444 <sahiixofficial@wgmail.com>
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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.dockerignore Normal file
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# .dockerignore - Files and directories to exclude from Docker build context
# Git
.git
.gitignore
.gitmodules
# Documentation
*.md
docs/
Documentation/
# IDE and editor files
.vscode/
.idea/
*.swp
*.swo
*~
# OS generated files
.DS_Store
.DS_Store?
._*
.Spotlight-V100
.Trashes
ehthumbs.db
Thumbs.db
# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
.pytest_cache/
.coverage
htmlcov/
.tox/
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
.pytype/
# Virtual environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Node.js (if present)
node_modules/
npm-debug.log*
yarn-debug.log*
yarn-error.log*
# Logs
logs/
*.log
# Temporary files
tmp/
temp/
*.tmp
*.temp
# Backup files
backups/
*.backup
*.bak
# Docker
Dockerfile*
docker-compose*.yml
.dockerignore
# Kubernetes and Helm
k8s/
helm/
# Scripts (not needed in container)
scripts/
# CI/CD
.github/
.gitlab-ci.yml
.travis.yml
.circleci/
# Environment files
.env.*
# Test files
tests/
test_*.py
*_test.py
# Cache directories
.cache/
.pytest_cache/
.mypy_cache/
# Database files (will be mounted as volume)
*.db
*.db-journal
*.sqlite
*.sqlite3
# Large data files that should be mounted
workflows_backup/

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# Development Environment Configuration
# Copy this file to .env for local development
# Application Settings
ENVIRONMENT=development
DEBUG=true
LOG_LEVEL=debug
RELOAD=true
# Server Configuration
HOST=127.0.0.1
PORT=8000
# Database Configuration
DATABASE_PATH=database/workflows.db
WORKFLOWS_PATH=workflows
# Development Features
ENABLE_METRICS=false
MAX_WORKERS=1
# Logging
LOG_FORMAT=detailed
LOG_TO_CONSOLE=true
LOG_TO_FILE=true

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# Production Environment Configuration
# Copy this file to .env for production deployment
# IMPORTANT: Review and update all values before deployment
# Application Settings
ENVIRONMENT=production
DEBUG=false
LOG_LEVEL=warning
RELOAD=false
# Server Configuration
HOST=0.0.0.0
PORT=8000
# Database Configuration
DATABASE_PATH=database/workflows.db
WORKFLOWS_PATH=workflows
# Performance Settings
ENABLE_METRICS=true
MAX_WORKERS=4
# Security Settings
# BASIC_AUTH_USERNAME=admin
# BASIC_AUTH_PASSWORD=your-secure-password
# SECRET_KEY=your-secret-key-here
# ALLOWED_HOSTS=workflows.yourdomain.com,localhost
# Logging
LOG_FORMAT=json
LOG_TO_CONSOLE=false
LOG_TO_FILE=true
LOG_FILE_PATH=logs/app.log
LOG_FILE_MAX_SIZE=10MB
LOG_FILE_BACKUP_COUNT=5
# Monitoring (Optional)
# PROMETHEUS_METRICS_PATH=/metrics
# ENABLE_HEALTH_CHECKS=true
# HEALTH_CHECK_PATH=/health
# External Services (if needed)
# REDIS_URL=redis://localhost:6379
# POSTGRES_URL=postgresql://user:password@localhost/dbname
# SSL/TLS Configuration (if using HTTPS)
# SSL_CERT_PATH=/path/to/cert.pem
# SSL_KEY_PATH=/path/to/key.pem

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# Staging Environment Configuration
# Copy this file to .env for staging deployment
# Application Settings
ENVIRONMENT=staging
DEBUG=false
LOG_LEVEL=info
RELOAD=false
# Server Configuration
HOST=0.0.0.0
PORT=8000
# Database Configuration
DATABASE_PATH=database/workflows.db
WORKFLOWS_PATH=workflows
# Performance Settings
ENABLE_METRICS=true
MAX_WORKERS=2
# Security Settings (Basic Auth for staging)
BASIC_AUTH_USERNAME=staging
BASIC_AUTH_PASSWORD=staging-password-change-this
# Logging
LOG_FORMAT=json
LOG_TO_CONSOLE=true
LOG_TO_FILE=true
LOG_FILE_PATH=logs/app.log
# Monitoring
ENABLE_HEALTH_CHECKS=true
PROMETHEUS_METRICS_PATH=/metrics

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name: CI/CD Pipeline
on:
push:
branches: [ main, develop ]
pull_request:
branches: [ main ]
release:
types: [ published ]
env:
REGISTRY: ghcr.io
IMAGE_NAME: ${{ github.repository }}
jobs:
test:
name: Run Tests
runs-on: ubuntu-latest
strategy:
matrix:
python-version: [3.9, 3.10, 3.11]
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v4
with:
python-version: ${{ matrix.python-version }}
- name: Cache Python dependencies
uses: actions/cache@v3
with:
path: ~/.cache/pip
key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
restore-keys: |
${{ runner.os }}-pip-
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -r requirements.txt
pip install pytest pytest-asyncio httpx
- name: Lint with flake8
run: |
pip install flake8
# Stop the build if there are Python syntax errors or undefined names
flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
# Treat all errors as warnings
flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
- name: Test application startup
run: |
timeout 30 python run.py --host 127.0.0.1 --port 8001 &
sleep 10
curl -f http://127.0.0.1:8001/api/stats || exit 1
pkill -f "python run.py" || true
- name: Test Docker build
run: |
docker build -t test-image:latest .
security:
name: Security Scan
runs-on: ubuntu-latest
needs: test
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Run Trivy vulnerability scanner
uses: aquasecurity/trivy-action@master
with:
scan-type: 'fs'
scan-ref: '.'
format: 'sarif'
output: 'trivy-results.sarif'
- name: Upload Trivy scan results
uses: github/codeql-action/upload-sarif@v2
if: always()
with:
sarif_file: 'trivy-results.sarif'
build:
name: Build and Push Docker Image
runs-on: ubuntu-latest
needs: [test, security]
if: github.event_name != 'pull_request'
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Log in to Container Registry
uses: docker/login-action@v3
with:
registry: ${{ env.REGISTRY }}
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Extract metadata
id: meta
uses: docker/metadata-action@v5
with:
images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
tags: |
type=ref,event=branch
type=ref,event=pr
type=semver,pattern={{version}}
type=semver,pattern={{major}}.{{minor}}
type=sha,prefix=sha-
- name: Build and push Docker image
uses: docker/build-push-action@v5
with:
context: .
platforms: linux/amd64,linux/arm64
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=gha
cache-to: type=gha,mode=max
deploy-staging:
name: Deploy to Staging
runs-on: ubuntu-latest
needs: build
if: github.ref == 'refs/heads/develop'
environment: staging
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Deploy to staging
run: |
echo "Deploying to staging environment..."
# Add your staging deployment commands here
# Example: kubectl, docker-compose, or cloud provider CLI commands
deploy-production:
name: Deploy to Production
runs-on: ubuntu-latest
needs: build
if: github.ref == 'refs/heads/main' || github.event_name == 'release'
environment: production
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Deploy to production
run: |
echo "Deploying to production environment..."
# Add your production deployment commands here
# Example: kubectl, docker-compose, or cloud provider CLI commands
notification:
name: Send Notifications
runs-on: ubuntu-latest
needs: [deploy-staging, deploy-production]
if: always() && (needs.deploy-staging.result != 'skipped' || needs.deploy-production.result != 'skipped')
steps:
- name: Notify deployment status
run: |
if [[ "${{ needs.deploy-staging.result }}" == "success" || "${{ needs.deploy-production.result }}" == "success" ]]; then
echo "Deployment successful!"
else
echo "Deployment failed!"
fi

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name: Docker Build and Test
on:
push:
branches: [ main, develop ]
paths:
- 'Dockerfile'
- 'docker-compose*.yml'
- 'requirements.txt'
- '*.py'
pull_request:
branches: [ main ]
paths:
- 'Dockerfile'
- 'docker-compose*.yml'
- 'requirements.txt'
- '*.py'
jobs:
docker-build:
name: Build and Test Docker Image
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Build Docker image
uses: docker/build-push-action@v5
with:
context: .
load: true
tags: workflows-doc:test
cache-from: type=gha
cache-to: type=gha,mode=max
- name: Test Docker image
run: |
# Test container starts successfully
docker run --name test-container -d -p 8002:8000 workflows-doc:test
# Wait for container to be ready
sleep 15
# Test health endpoint
curl -f http://localhost:8002/api/stats || exit 1
# Test container logs for errors
docker logs test-container
# Cleanup
docker stop test-container
docker rm test-container
- name: Test Docker Compose
run: |
# Test basic docker-compose
docker compose -f docker-compose.yml up -d --build
# Wait for services
sleep 20
# Test API endpoint
curl -f http://localhost:8000/api/stats || exit 1
# Test with development override
docker compose -f docker-compose.yml -f docker-compose.dev.yml down
docker compose -f docker-compose.yml -f docker-compose.dev.yml up -d --build
# Wait for services
sleep 20
# Test development endpoint
curl -f http://localhost:8000/api/stats || exit 1
# Cleanup
docker compose down
- name: Test security scanning
run: |
# Install Trivy
sudo apt-get update
sudo apt-get install wget apt-transport-https gnupg lsb-release
wget -qO - https://aquasecurity.github.io/trivy-repo/deb/public.key | sudo apt-key add -
echo "deb https://aquasecurity.github.io/trivy-repo/deb $(lsb_release -sc) main" | sudo tee -a /etc/apt/sources.list.d/trivy.list
sudo apt-get update
sudo apt-get install trivy
# Scan the built image
trivy image --exit-code 0 --severity HIGH,CRITICAL workflows-doc:test
multi-platform:
name: Test Multi-platform Build
runs-on: ubuntu-latest
needs: docker-build
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Build multi-platform image
uses: docker/build-push-action@v5
with:
context: .
platforms: linux/amd64,linux/arm64
tags: workflows-doc:multi-platform
cache-from: type=gha
cache-to: type=gha,mode=max

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# N8N Workflows Documentation Platform - Deployment Guide
This guide covers deploying the N8N Workflows Documentation Platform in various environments.
## Quick Start (Docker)
### Development Environment
```bash
# Clone repository
git clone <repository-url>
cd n8n-workflows-1
# Start development environment
docker compose -f docker-compose.yml -f docker-compose.dev.yml up --build
```
### Production Environment
```bash
# Production deployment
docker compose -f docker-compose.yml -f docker-compose.prod.yml up -d --build
# With monitoring
docker compose --profile monitoring up -d
```
## Deployment Options
### 1. Docker Compose (Recommended)
#### Development
```bash
# Start development environment with auto-reload
docker compose -f docker-compose.yml -f docker-compose.dev.yml up
# With additional dev tools (DB admin, file watcher)
docker compose --profile dev-tools up
```
#### Production
```bash
# Basic production deployment
docker compose -f docker-compose.yml -f docker-compose.prod.yml up -d
# With reverse proxy and SSL
docker compose --profile production up -d
# With monitoring stack
docker compose --profile monitoring up -d
```
### 2. Standalone Docker
```bash
# Build image
docker build -t workflows-doc:latest .
# Run container
docker run -d \
--name n8n-workflows-docs \
-p 8000:8000 \
-v $(pwd)/database:/app/database \
-v $(pwd)/logs:/app/logs \
-e ENVIRONMENT=production \
workflows-doc:latest
```
### 3. Python Direct Deployment
#### Prerequisites
- Python 3.11+
- pip
#### Installation
```bash
# Install dependencies
pip install -r requirements.txt
# Development mode
python run.py --dev
# Production mode
python run.py --host 0.0.0.0 --port 8000
```
#### Production with Gunicorn
```bash
# Install gunicorn
pip install gunicorn
# Start with gunicorn
gunicorn -w 4 -k uvicorn.workers.UvicornWorker -b 0.0.0.0:8000 api_server:app
```
### 4. Kubernetes Deployment
#### Basic Deployment
```bash
# Apply Kubernetes manifests
kubectl apply -f k8s/namespace.yaml
kubectl apply -f k8s/configmap.yaml
kubectl apply -f k8s/deployment.yaml
kubectl apply -f k8s/service.yaml
kubectl apply -f k8s/ingress.yaml
```
#### Helm Chart
```bash
# Install with Helm
helm install n8n-workflows-docs ./helm/workflows-docs
```
## Environment Configuration
### Environment Variables
| Variable | Description | Default | Required |
|----------|-------------|---------|----------|
| `ENVIRONMENT` | Deployment environment | `development` | No |
| `LOG_LEVEL` | Logging level | `info` | No |
| `HOST` | Bind host | `127.0.0.1` | No |
| `PORT` | Bind port | `8000` | No |
| `DATABASE_PATH` | SQLite database path | `database/workflows.db` | No |
| `WORKFLOWS_PATH` | Workflows directory | `workflows` | No |
| `ENABLE_METRICS` | Enable Prometheus metrics | `false` | No |
| `MAX_WORKERS` | Max worker processes | `1` | No |
| `DEBUG` | Enable debug mode | `false` | No |
| `RELOAD` | Enable auto-reload | `false` | No |
### Configuration Files
Create environment-specific configuration:
#### `.env` (Development)
```bash
ENVIRONMENT=development
LOG_LEVEL=debug
DEBUG=true
RELOAD=true
```
#### `.env.production` (Production)
```bash
ENVIRONMENT=production
LOG_LEVEL=warning
ENABLE_METRICS=true
MAX_WORKERS=4
```
## Security Configuration
### 1. Reverse Proxy Setup (Traefik)
```yaml
# traefik/config/dynamic.yml
http:
middlewares:
auth:
basicAuth:
users:
- "admin:$2y$10$..." # Generate with htpasswd
security-headers:
headers:
customRequestHeaders:
X-Forwarded-Proto: "https"
customResponseHeaders:
X-Frame-Options: "DENY"
X-Content-Type-Options: "nosniff"
sslRedirect: true
```
### 2. SSL/TLS Configuration
#### Let's Encrypt (Automatic)
```yaml
# In docker-compose.prod.yml
command:
- "--certificatesresolvers.myresolver.acme.tlschallenge=true"
- "--certificatesresolvers.myresolver.acme.email=admin@yourdomain.com"
```
#### Custom SSL Certificate
```yaml
volumes:
- ./ssl:/ssl:ro
```
### 3. Basic Authentication
```bash
# Generate htpasswd entry
htpasswd -nb admin yourpassword
# Add to Traefik labels
- "traefik.http.middlewares.auth.basicauth.users=admin:$$2y$$10$$..."
```
## Performance Optimization
### 1. Resource Limits
```yaml
# docker-compose.prod.yml
deploy:
resources:
limits:
memory: 512M
cpus: '0.5'
reservations:
memory: 256M
cpus: '0.25'
```
### 2. Database Optimization
```bash
# Force reindex for better performance
python run.py --reindex
# Or via API
curl -X POST http://localhost:8000/api/reindex
```
### 3. Caching Headers
```yaml
# Traefik middleware for static files
http:
middlewares:
cache-headers:
headers:
customResponseHeaders:
Cache-Control: "public, max-age=31536000"
```
## Monitoring & Logging
### 1. Health Checks
```bash
# Docker health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD curl -f http://localhost:8000/api/stats || exit 1
# Manual health check
curl http://localhost:8000/api/stats
```
### 2. Logs
```bash
# View application logs
docker compose logs -f workflows-docs
# View specific service logs
docker logs n8n-workflows-docs
# Log location in container
/app/logs/app.log
```
### 3. Metrics (Prometheus)
```bash
# Start monitoring stack
docker compose --profile monitoring up -d
# Access Prometheus
http://localhost:9090
```
## Backup & Recovery
### 1. Database Backup
```bash
# Backup SQLite database
cp database/workflows.db database/workflows.db.backup
# Or using docker
docker exec n8n-workflows-docs cp /app/database/workflows.db /app/database/workflows.db.backup
```
### 2. Configuration Backup
```bash
# Backup entire configuration
tar -czf n8n-workflows-backup-$(date +%Y%m%d).tar.gz \
database/ \
logs/ \
docker-compose*.yml \
.env*
```
### 3. Restore
```bash
# Stop services
docker compose down
# Restore database
cp database/workflows.db.backup database/workflows.db
# Start services
docker compose up -d
```
## Scaling & Load Balancing
### 1. Multiple Instances
```yaml
# docker-compose.scale.yml
services:
workflows-docs:
deploy:
replicas: 3
```
```bash
# Scale up
docker compose up --scale workflows-docs=3
```
### 2. Load Balancer Configuration
```yaml
# Traefik load balancing
labels:
- "traefik.http.services.workflows-docs.loadbalancer.server.port=8000"
- "traefik.http.services.workflows-docs.loadbalancer.sticky=true"
```
## Troubleshooting
### Common Issues
1. **Database locked error**
```bash
# Check file permissions
ls -la database/
# Fix permissions
chmod 664 database/workflows.db
```
2. **Port already in use**
```bash
# Check what's using the port
lsof -i :8000
# Use different port
docker compose up -d -p 8001:8000
```
3. **Out of memory**
```bash
# Check memory usage
docker stats
# Increase memory limit
# Edit docker-compose.prod.yml resources
```
### Logs & Debugging
```bash
# Application logs
docker compose logs -f workflows-docs
# System logs
docker exec workflows-docs tail -f /app/logs/app.log
# Database logs
docker exec workflows-docs sqlite3 /app/database/workflows.db ".tables"
```
## Migration & Updates
### 1. Update Application
```bash
# Pull latest changes
git pull origin main
# Rebuild and restart
docker compose down
docker compose up -d --build
```
### 2. Database Migration
```bash
# Backup current database
cp database/workflows.db database/workflows.db.backup
# Force reindex with new schema
python run.py --reindex
```
### 3. Zero-downtime Updates
```bash
# Blue-green deployment
docker compose -p n8n-workflows-green up -d --build
# Switch traffic (update load balancer)
# Verify new deployment
# Shut down old deployment
docker compose -p n8n-workflows-blue down
```
## Security Checklist
- [ ] Use non-root user in Docker container
- [ ] Enable HTTPS/SSL in production
- [ ] Configure proper firewall rules
- [ ] Use strong authentication credentials
- [ ] Regular security updates
- [ ] Enable access logs and monitoring
- [ ] Backup sensitive data securely
- [ ] Review and audit configurations regularly
## Support & Maintenance
### Regular Tasks
1. **Daily**
- Monitor application health
- Check error logs
- Verify backup completion
2. **Weekly**
- Review performance metrics
- Update dependencies if needed
- Test disaster recovery procedures
3. **Monthly**
- Security audit
- Database optimization
- Update documentation

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# 🚀 Deployment Quick Start Guide
This guide provides rapid deployment instructions for the N8N Workflows Documentation Platform.
## 🐳 Docker Deployment (Recommended)
### Option 1: One-Click Docker Deployment
```bash
# Quick start - builds and runs everything
./run-as-docker-container.sh
```
**What this does:**
- Builds the Docker image
- Starts the application with Docker Compose
- Performs health checks
- Opens browser automatically
- Accessible at: http://localhost:8000
### Option 2: Manual Docker Compose
```bash
# Development environment
docker compose -f docker-compose.yml -f docker-compose.dev.yml up -d --build
# Production environment
docker compose -f docker-compose.yml -f docker-compose.prod.yml up -d --build
```
### Option 3: Using Deployment Script
```bash
# Deploy to development
./scripts/deploy.sh development
# Deploy to production
./scripts/deploy.sh production
# Check health
./scripts/health-check.sh
# Create backup
./scripts/backup.sh
```
## 🖥️ Local Python Deployment
### Quick Start
```bash
# Install dependencies
pip install -r requirements.txt
# Start development server
python run.py
# Start production server
python run.py --host 0.0.0.0 --port 8000
```
### With Environment Configuration
```bash
# Copy environment template
cp .env.development .env
# Edit configuration as needed
# vim .env
# Start with environment file
python run.py --dev
```
## ☸️ Kubernetes Deployment
### Using kubectl
```bash
# Apply all manifests
kubectl apply -f k8s/
# Check status
kubectl get pods -n n8n-workflows
kubectl get services -n n8n-workflows
```
### Using Helm
```bash
# Install with Helm
helm install workflows-docs ./helm/workflows-docs --namespace n8n-workflows --create-namespace
# Upgrade deployment
helm upgrade workflows-docs ./helm/workflows-docs
# Uninstall
helm uninstall workflows-docs --namespace n8n-workflows
```
## 🔧 Configuration
### Environment Variables
| Variable | Description | Default |
|----------|-------------|---------|
| `ENVIRONMENT` | Deployment environment | `development` |
| `HOST` | Server host | `127.0.0.1` |
| `PORT` | Server port | `8000` |
| `LOG_LEVEL` | Logging level | `info` |
### Environment Files
- `.env.development` - Development configuration
- `.env.staging` - Staging configuration
- `.env.production` - Production configuration
## 📊 Health Checks
```bash
# Quick health check
curl http://localhost:8000/api/stats
# Detailed health check with script
./scripts/health-check.sh http://localhost:8000
```
## 🔍 Access Points
Once deployed, access the application at:
- **Main Interface**: http://localhost:8000
- **API Documentation**: http://localhost:8000/docs
- **API Stats**: http://localhost:8000/api/stats
- **Health Check**: http://localhost:8000/api/stats
## 🛠️ Troubleshooting
### Common Issues
1. **Port already in use**
```bash
# Use different port
docker compose up -p 8001:8000
```
2. **Database issues**
```bash
# Force reindex
python run.py --reindex
```
3. **Docker build fails**
```bash
# Clean build
docker system prune -f
docker compose build --no-cache
```
### View Logs
```bash
# Docker logs
docker compose logs -f
# Application logs
tail -f logs/app.log
```
## 📚 Full Documentation
For complete deployment documentation, see:
- [DEPLOYMENT.md](./DEPLOYMENT.md) - Comprehensive deployment guide
- [README.md](./README.md) - Application overview and features
## 🆘 Quick Help
```bash
# Show deployment script help
./scripts/deploy.sh --help
# Show Python application help
python run.py --help
# Show health check help
./scripts/health-check.sh --help
```

49
Dockerfile
View File

@@ -1,5 +1,48 @@
FROM python:3.9.23-slim FROM python:3.11-slim
COPY . /app
# Set environment variables
ENV PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
PIP_NO_CACHE_DIR=1 \
PIP_DISABLE_PIP_VERSION_CHECK=1 \
PIP_TRUSTED_HOST="pypi.org pypi.python.org files.pythonhosted.org"
# Create non-root user for security
RUN groupadd -r appuser && useradd -r -g appuser appuser
# Install system dependencies
RUN apt-get update && apt-get install -y \
--no-install-recommends \
curl \
ca-certificates \
&& rm -rf /var/lib/apt/lists/* \
&& update-ca-certificates
# Set work directory
WORKDIR /app WORKDIR /app
RUN pip install -r requirements.txt
# Copy requirements first for better caching
COPY requirements.txt .
# Install Python dependencies
RUN pip install --trusted-host pypi.org --trusted-host pypi.python.org --trusted-host files.pythonhosted.org --no-cache-dir -r requirements.txt
# Copy application code
COPY . .
# Create necessary directories and set permissions
RUN mkdir -p database static logs && \
chown -R appuser:appuser /app
# Switch to non-root user
USER appuser
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD curl -f http://localhost:8000/api/stats || exit 1
# Expose port
EXPOSE 8000
# Start application
ENTRYPOINT ["python", "run.py", "--host", "0.0.0.0", "--port", "8000"] ENTRYPOINT ["python", "run.py", "--host", "0.0.0.0", "--port", "8000"]

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# API Documentation: Receive updates when a new account is added by an admin in ActiveCampaign
## Overview
Automated workflow: Receive updates when a new account is added by an admin in ActiveCampaign. This workflow processes data and performs automated tasks.
## Workflow Metadata
- **Total Nodes**: 7
- **Complexity Level**: Moderate
- **Estimated Execution Time**: 5-30 seconds
- **Error Handling**: ❌ Not implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.activeCampaignTrigger`
## Node Types Used
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.activeCampaignTrigger`
## Integrations
- No external integrations detected
## Required Credentials
- `activeCampaignApi`
## Environment Variables
- No environment variables required

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# Deployment Guide: Receive updates when a new account is added by an admin in ActiveCampaign
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **activeCampaignApi**: [Instructions for setting up activeCampaignApi]
### 2. Environment Variables
No environment variables required.
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 5-30 seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Receive updates when a new account is added by an admin in ActiveCampaign
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Receive updates when a new account is added by an admin in ActiveCampaign
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- activeCampaignApi
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 7 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.activeCampaignTrigger
2. **Processing**: Data flows through 6 processing nodes
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
⚠️ Consider adding error handling nodes
### Performance Tuning
- Monitor execution time: 5-30 seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Acuityschedulingtrigger Workflow
## Overview
Automated workflow: Acuityschedulingtrigger Workflow. This workflow processes data and performs automated tasks.
## Workflow Metadata
- **Total Nodes**: 7
- **Complexity Level**: Moderate
- **Estimated Execution Time**: 5-30 seconds
- **Error Handling**: ❌ Not implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.acuitySchedulingTrigger`
## Node Types Used
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.acuitySchedulingTrigger`
## Integrations
- No external integrations detected
## Required Credentials
- `acuitySchedulingApi`
## Environment Variables
- No environment variables required

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# Deployment Guide: Acuityschedulingtrigger Workflow
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **acuitySchedulingApi**: [Instructions for setting up acuitySchedulingApi]
### 2. Environment Variables
No environment variables required.
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 5-30 seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Acuityschedulingtrigger Workflow
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Acuityschedulingtrigger Workflow
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- acuitySchedulingApi
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 7 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.acuitySchedulingTrigger
2. **Processing**: Data flows through 6 processing nodes
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
⚠️ Consider adding error handling nodes
### Performance Tuning
- Monitor execution time: 5-30 seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

27
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# API Documentation: Receive updates when a new list is created in Affinity
## Overview
Automated workflow: Receive updates when a new list is created in Affinity. This workflow processes data and performs automated tasks.
## Workflow Metadata
- **Total Nodes**: 7
- **Complexity Level**: Moderate
- **Estimated Execution Time**: 5-30 seconds
- **Error Handling**: ❌ Not implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.affinityTrigger`
## Node Types Used
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.affinityTrigger`
## Integrations
- No external integrations detected
## Required Credentials
- `affinityApi`
## Environment Variables
- No environment variables required

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# Deployment Guide: Receive updates when a new list is created in Affinity
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **affinityApi**: [Instructions for setting up affinityApi]
### 2. Environment Variables
No environment variables required.
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 5-30 seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

181
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# Troubleshooting Guide: Receive updates when a new list is created in Affinity
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Receive updates when a new list is created in Affinity
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- affinityApi
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 7 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.affinityTrigger
2. **Processing**: Data flows through 6 processing nodes
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
⚠️ Consider adding error handling nodes
### Performance Tuning
- Monitor execution time: 5-30 seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Stickynote Workflow
## Overview
Automated workflow: Stickynote Workflow. This workflow integrates 11 different services: stickyNote, gmailTrigger, splitOut, chainLlm, outputParserStructured. It contains 20 nodes and follows best practices for error handling and security.
## Workflow Metadata
- **Total Nodes**: 25
- **Complexity Level**: Complex
- **Estimated Execution Time**: 30+ seconds
- **Error Handling**: ✅ Implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.gmailTrigger`
## Node Types Used
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.merge`
- `@n8n/n8n-nodes-langchain.chainLlm`
- `n8n-nodes-base.splitOut`
- `n8n-nodes-base.aggregate`
- `@n8n/n8n-nodes-langchain.lmChatOpenAi`
- `@n8n/n8n-nodes-langchain.outputParserStructured`
- `n8n-nodes-base.set`
- `n8n-nodes-base.stopAndError`
- `n8n-nodes-base.gmail`
- `n8n-nodes-base.gmailTrigger`
## Integrations
- No external integrations detected
## Required Credentials
- `openAiApi`
- `gmailOAuth2`
## Environment Variables
- No environment variables required

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# Deployment Guide: Stickynote Workflow
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **openAiApi**: [Instructions for setting up openAiApi]
- **gmailOAuth2**: [Instructions for setting up gmailOAuth2]
### 2. Environment Variables
No environment variables required.
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 30+ seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Stickynote Workflow
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Stickynote Workflow
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- openAiApi
- gmailOAuth2
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 25 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.gmailTrigger
2. **Processing**: Data flows through 24 processing nodes
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
✅ This workflow includes error handling nodes
### Performance Tuning
- Monitor execution time: 30+ seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Telegramtrigger Workflow
## Overview
Automated workflow: Telegramtrigger Workflow. This workflow integrates 7 different services: telegramTrigger, stickyNote, telegram, merge, stopAndError. It contains 15 nodes and follows best practices for error handling and security.
## Workflow Metadata
- **Total Nodes**: 20
- **Complexity Level**: Complex
- **Estimated Execution Time**: 30+ seconds
- **Error Handling**: ✅ Implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.telegramTrigger`
## Node Types Used
- `n8n-nodes-base.telegram`
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.merge`
- `@n8n/n8n-nodes-langchain.openAi`
- `n8n-nodes-base.aggregate`
- `n8n-nodes-base.telegramTrigger`
- `n8n-nodes-base.stopAndError`
## Integrations
- No external integrations detected
## Required Credentials
- `openAiApi`
- `telegramApi`
## Environment Variables
- No environment variables required

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# Deployment Guide: Telegramtrigger Workflow
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **openAiApi**: [Instructions for setting up openAiApi]
- **telegramApi**: [Instructions for setting up telegramApi]
### 2. Environment Variables
No environment variables required.
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 30+ seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Telegramtrigger Workflow
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Telegramtrigger Workflow
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- openAiApi
- telegramApi
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 20 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.telegramTrigger
2. **Processing**: Data flows through 19 processing nodes
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
✅ This workflow includes error handling nodes
### Performance Tuning
- Monitor execution time: 30+ seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Lmchatopenai Workflow
## Overview
Automated workflow: Lmchatopenai Workflow. This workflow integrates 16 different services: stickyNote, httpRequest, airtable, agent, merge. It contains 58 nodes and follows best practices for error handling and security.
## Workflow Metadata
- **Total Nodes**: 95
- **Complexity Level**: Complex
- **Estimated Execution Time**: 30+ seconds
- **Error Handling**: ✅ Implemented
## Trigger Information
### Trigger Types
- `@n8n/n8n-nodes-langchain.chatTrigger`
- `n8n-nodes-base.executeWorkflowTrigger`
## Node Types Used
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.airtable`
- `n8n-nodes-base.merge`
- `@n8n/n8n-nodes-langchain.toolCode`
- `n8n-nodes-base.httpRequest`
- `@n8n/n8n-nodes-langchain.toolWorkflow`
- `@n8n/n8n-nodes-langchain.chatTrigger`
- `n8n-nodes-base.executeWorkflowTrigger`
- `n8n-nodes-base.switch`
- `n8n-nodes-base.aggregate`
- `@n8n/n8n-nodes-langchain.lmChatOpenAi`
- `@n8n/n8n-nodes-langchain.memoryBufferWindow`
- `@n8n/n8n-nodes-langchain.agent`
- `n8n-nodes-base.set`
- `n8n-nodes-base.if`
- `n8n-nodes-base.stopAndError`
## Integrations
- No external integrations detected
## Required Credentials
- `httpQueryAuth`
- `openAiApi`
- `airtableTokenApi`
## Environment Variables
- `BASE_URL`
- `API_BASE_URL`

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# Deployment Guide: Lmchatopenai Workflow
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **httpQueryAuth**: [Instructions for setting up httpQueryAuth]
- **openAiApi**: [Instructions for setting up openAiApi]
- **airtableTokenApi**: [Instructions for setting up airtableTokenApi]
### 2. Environment Variables
Set these environment variables:
- `BASE_URL`: [Description of what this variable should contain]
- `API_BASE_URL`: [Description of what this variable should contain]
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 30+ seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Lmchatopenai Workflow
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Lmchatopenai Workflow
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- httpQueryAuth
- openAiApi
- airtableTokenApi
2. **Set Environment Variables**: Configure these environment variables:
- `BASE_URL`
- `API_BASE_URL`
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 95 nodes with the following execution flow:
1. **Trigger**: Workflow starts with @n8n/n8n-nodes-langchain.chatTrigger, n8n-nodes-base.executeWorkflowTrigger
2. **Processing**: Data flows through 93 processing nodes
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
✅ This workflow includes error handling nodes
### Performance Tuning
- Monitor execution time: 30+ seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Klicktipp Workflow
## Overview
Automated workflow: Klicktipp Workflow. This workflow integrates 8 different services: stickyNote, splitOut, merge, set, aggregate. It contains 14 nodes and follows best practices for error handling and security.
## Workflow Metadata
- **Total Nodes**: 19
- **Complexity Level**: Complex
- **Estimated Execution Time**: 30+ seconds
- **Error Handling**: ❌ Not implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.jotFormTrigger`
## Node Types Used
- `n8n-nodes-base.jotFormTrigger`
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.merge`
- `n8n-nodes-klicktipp.klicktipp`
- `n8n-nodes-base.splitOut`
- `n8n-nodes-base.aggregate`
- `n8n-nodes-base.set`
- `n8n-nodes-base.if`
## Integrations
- No external integrations detected
## Required Credentials
- `klickTippApi`
- `jotFormApi`
## Environment Variables
- No environment variables required

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# Deployment Guide: Klicktipp Workflow
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **klickTippApi**: [Instructions for setting up klickTippApi]
- **jotFormApi**: [Instructions for setting up jotFormApi]
### 2. Environment Variables
No environment variables required.
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 30+ seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Klicktipp Workflow
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Klicktipp Workflow
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- klickTippApi
- jotFormApi
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 19 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.jotFormTrigger
2. **Processing**: Data flows through 18 processing nodes
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
⚠️ Consider adding error handling nodes
### Performance Tuning
- Monitor execution time: 30+ seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Klicktipp Workflow
## Overview
Automated workflow: Klicktipp Workflow. This workflow integrates 9 different services: webhook, stickyNote, splitOut, merge, set. It contains 16 nodes and follows best practices for error handling and security.
## Workflow Metadata
- **Total Nodes**: 25
- **Complexity Level**: Complex
- **Estimated Execution Time**: 30+ seconds
- **Error Handling**: ✅ Implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.webhook`
### Webhook Endpoints
- **Path**: `9e8feb6b-df09-4f17-baf0-9fa3b8c0093c`
- **Method**: `POST`
- **Webhook ID**: `9e8feb6b-df09-4f17-baf0-9fa3b8c0093c`
## Node Types Used
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.webhook`
- `n8n-nodes-base.merge`
- `n8n-nodes-klicktipp.klicktipp`
- `n8n-nodes-base.splitOut`
- `n8n-nodes-base.aggregate`
- `n8n-nodes-base.set`
- `n8n-nodes-base.if`
- `n8n-nodes-base.stopAndError`
## Integrations
- No external integrations detected
## Required Credentials
- `klickTippApi`
## Environment Variables
- No environment variables required

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# Deployment Guide: Klicktipp Workflow
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **klickTippApi**: [Instructions for setting up klickTippApi]
### 2. Environment Variables
No environment variables required.
### 3. Webhook Configuration
Configure webhook endpoints:
- **Path**: `9e8feb6b-df09-4f17-baf0-9fa3b8c0093c`
- **Method**: `POST`
- **URL**: `https://your-n8n-instance/webhook/9e8feb6b-df09-4f17-baf0-9fa3b8c0093c`
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 30+ seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Klicktipp Workflow
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Klicktipp Workflow
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- klickTippApi
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 25 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.webhook
2. **Processing**: Data flows through 24 processing nodes
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
✅ This workflow includes error handling nodes
### Performance Tuning
- Monitor execution time: 30+ seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Set Workflow
## Overview
Automated workflow: Set Workflow. This workflow integrates 8 different services: stickyNote, splitOut, merge, typeformTrigger, set. It contains 14 nodes and follows best practices for error handling and security.
## Workflow Metadata
- **Total Nodes**: 19
- **Complexity Level**: Complex
- **Estimated Execution Time**: 30+ seconds
- **Error Handling**: ❌ Not implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.typeformTrigger`
## Node Types Used
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.merge`
- `n8n-nodes-base.typeformTrigger`
- `n8n-nodes-klicktipp.klicktipp`
- `n8n-nodes-base.splitOut`
- `n8n-nodes-base.aggregate`
- `n8n-nodes-base.set`
- `n8n-nodes-base.if`
## Integrations
- No external integrations detected
## Required Credentials
- `klickTippApi`
- `typeformApi`
## Environment Variables
- No environment variables required

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# Deployment Guide: Set Workflow
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **klickTippApi**: [Instructions for setting up klickTippApi]
- **typeformApi**: [Instructions for setting up typeformApi]
### 2. Environment Variables
No environment variables required.
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 30+ seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Set Workflow
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Set Workflow
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- klickTippApi
- typeformApi
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 19 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.typeformTrigger
2. **Processing**: Data flows through 18 processing nodes
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
⚠️ Consider adding error handling nodes
### Performance Tuning
- Monitor execution time: 30+ seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Executeworkflowtrigger Workflow
## Overview
Automated workflow: Executeworkflowtrigger Workflow. This workflow integrates 10 different services: stickyNote, agent, outputParserStructured, merge, set. It contains 30 nodes and follows best practices for error handling and security.
## Workflow Metadata
- **Total Nodes**: 35
- **Complexity Level**: Complex
- **Estimated Execution Time**: 30+ seconds
- **Error Handling**: ✅ Implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.executeWorkflowTrigger`
## Node Types Used
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.merge`
- `@n8n/n8n-nodes-langchain.agent`
- `n8n-nodes-base.aggregate`
- `@n8n/n8n-nodes-langchain.lmChatAzureOpenAi`
- `@n8n/n8n-nodes-langchain.outputParserStructured`
- `n8n-nodes-base.executeWorkflowTrigger`
- `n8n-nodes-base.set`
- `n8n-nodes-base.executeWorkflow`
- `n8n-nodes-base.stopAndError`
## Integrations
- No external integrations detected
## Required Credentials
- `azureOpenAiApi`
## Environment Variables
- No environment variables required

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# Deployment Guide: Executeworkflowtrigger Workflow
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **azureOpenAiApi**: [Instructions for setting up azureOpenAiApi]
### 2. Environment Variables
No environment variables required.
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 30+ seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Executeworkflowtrigger Workflow
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Executeworkflowtrigger Workflow
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- azureOpenAiApi
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 35 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.executeWorkflowTrigger
2. **Processing**: Data flows through 34 processing nodes
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
✅ This workflow includes error handling nodes
### Performance Tuning
- Monitor execution time: 30+ seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Stickynote Workflow
## Overview
Automated workflow: Stickynote Workflow. This workflow integrates 9 different services: stickyNote, telegramTrigger, telegram, agent, stopAndError. It contains 14 nodes and follows best practices for error handling and security.
## Workflow Metadata
- **Total Nodes**: 19
- **Complexity Level**: Complex
- **Estimated Execution Time**: 30+ seconds
- **Error Handling**: ✅ Implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.telegramTrigger`
## Node Types Used
- `n8n-nodes-base.telegram`
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.googleSheets`
- `n8n-nodes-base.aggregate`
- `@n8n/n8n-nodes-langchain.lmChatOpenAi`
- `@n8n/n8n-nodes-langchain.memoryBufferWindow`
- `@n8n/n8n-nodes-langchain.agent`
- `n8n-nodes-base.telegramTrigger`
- `n8n-nodes-base.stopAndError`
## Integrations
- Google
## Required Credentials
- No credentials required
## Environment Variables
- `BASE_URL`

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# Deployment Guide: Stickynote Workflow
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
No credentials required for this workflow.
### 2. Environment Variables
Set these environment variables:
- `BASE_URL`: [Description of what this variable should contain]
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 30+ seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Stickynote Workflow
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Stickynote Workflow
## Quick Start
### Prerequisites
2. **Set Environment Variables**: Configure these environment variables:
- `BASE_URL`
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 19 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.telegramTrigger
2. **Processing**: Data flows through 18 processing nodes
3. **Integration**: Connects with Google
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
✅ This workflow includes error handling nodes
### Performance Tuning
- Monitor execution time: 30+ seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Gmailtrigger Workflow
## Overview
Automated workflow: Gmailtrigger Workflow. This workflow integrates 11 different services: stickyNote, gmailTrigger, splitOut, chainLlm, merge. It contains 20 nodes and follows best practices for error handling and security.
## Workflow Metadata
- **Total Nodes**: 25
- **Complexity Level**: Complex
- **Estimated Execution Time**: 30+ seconds
- **Error Handling**: ✅ Implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.gmailTrigger`
## Node Types Used
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.merge`
- `@n8n/n8n-nodes-langchain.chainLlm`
- `n8n-nodes-base.splitOut`
- `n8n-nodes-base.aggregate`
- `@n8n/n8n-nodes-langchain.lmChatOpenAi`
- `@n8n/n8n-nodes-langchain.outputParserStructured`
- `n8n-nodes-base.set`
- `n8n-nodes-base.stopAndError`
- `n8n-nodes-base.gmail`
- `n8n-nodes-base.gmailTrigger`
## Integrations
- No external integrations detected
## Required Credentials
- `openAiApi`
- `gmailOAuth2`
## Environment Variables
- No environment variables required

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# Deployment Guide: Gmailtrigger Workflow
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **openAiApi**: [Instructions for setting up openAiApi]
- **gmailOAuth2**: [Instructions for setting up gmailOAuth2]
### 2. Environment Variables
No environment variables required.
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 30+ seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Gmailtrigger Workflow
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Gmailtrigger Workflow
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- openAiApi
- gmailOAuth2
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 25 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.gmailTrigger
2. **Processing**: Data flows through 24 processing nodes
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
✅ This workflow includes error handling nodes
### Performance Tuning
- Monitor execution time: 30+ seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Openaiassistant Workflow
## Overview
Automated workflow: Openaiassistant Workflow. This workflow integrates 10 different services: stickyNote, set, stopAndError, memoryManager, memoryBufferWindow. It contains 15 nodes and follows best practices for error handling and security.
## Workflow Metadata
- **Total Nodes**: 20
- **Complexity Level**: Complex
- **Estimated Execution Time**: 30+ seconds
- **Error Handling**: ✅ Implemented
## Trigger Information
### Trigger Types
- `@n8n/n8n-nodes-langchain.chatTrigger`
## Node Types Used
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.limit`
- `@n8n/n8n-nodes-langchain.chatTrigger`
- `n8n-nodes-base.set`
- `n8n-nodes-base.aggregate`
- `@n8n/n8n-nodes-langchain.memoryBufferWindow`
- `@n8n/n8n-nodes-langchain.toolCalculator`
- `@n8n/n8n-nodes-langchain.memoryManager`
- `n8n-nodes-base.stopAndError`
- `@n8n/n8n-nodes-langchain.openAiAssistant`
## Integrations
- No external integrations detected
## Required Credentials
- `openAiApi`
## Environment Variables
- No environment variables required

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# Deployment Guide: Openaiassistant Workflow
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **openAiApi**: [Instructions for setting up openAiApi]
### 2. Environment Variables
No environment variables required.
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 30+ seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

181
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# Troubleshooting Guide: Openaiassistant Workflow
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Openaiassistant Workflow
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- openAiApi
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 20 nodes with the following execution flow:
1. **Trigger**: Workflow starts with @n8n/n8n-nodes-langchain.chatTrigger
2. **Processing**: Data flows through 19 processing nodes
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
✅ This workflow includes error handling nodes
### Performance Tuning
- Monitor execution time: 30+ seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: DSP Agent
## Overview
Automated workflow: DSP Agent. This workflow processes data and performs automated tasks.
## Workflow Metadata
- **Total Nodes**: 29
- **Complexity Level**: Complex
- **Estimated Execution Time**: 30+ seconds
- **Error Handling**: ✅ Implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.telegramTrigger`
## Node Types Used
- `n8n-nodes-base.telegram`
- `n8n-nodes-base.airtable`
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.merge`
- `@n8n/n8n-nodes-langchain.openAi`
- `n8n-nodes-base.airtableTool`
- `@n8n/n8n-nodes-langchain.toolWorkflow`
- `@n8n/n8n-nodes-langchain.toolCalculator`
- `n8n-nodes-base.switch`
- `n8n-nodes-base.aggregate`
- `@n8n/n8n-nodes-langchain.lmChatOpenAi`
- `@n8n/n8n-nodes-langchain.lmChatGoogleGemini`
- `@n8n/n8n-nodes-langchain.memoryBufferWindow`
- `@n8n/n8n-nodes-langchain.agent`
- `n8n-nodes-base.set`
- `n8n-nodes-base.telegramTrigger`
- `n8n-nodes-base.stopAndError`
- `@n8n/n8n-nodes-langchain.toolWikipedia`
## Integrations
- Google
## Required Credentials
- `openAiApi`
- `telegramApi`
- `googlePalmApi`
- `airtableTokenApi`
## Environment Variables
- `WEBHOOK_URL`

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# Deployment Guide: DSP Agent
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **openAiApi**: [Instructions for setting up openAiApi]
- **telegramApi**: [Instructions for setting up telegramApi]
- **googlePalmApi**: [Instructions for setting up googlePalmApi]
- **airtableTokenApi**: [Instructions for setting up airtableTokenApi]
### 2. Environment Variables
Set these environment variables:
- `WEBHOOK_URL`: [Description of what this variable should contain]
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 30+ seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: DSP Agent
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: DSP Agent
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- openAiApi
- telegramApi
- googlePalmApi
- airtableTokenApi
2. **Set Environment Variables**: Configure these environment variables:
- `WEBHOOK_URL`
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 29 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.telegramTrigger
2. **Processing**: Data flows through 28 processing nodes
3. **Integration**: Connects with Google
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
✅ This workflow includes error handling nodes
### Performance Tuning
- Monitor execution time: 30+ seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Dsp agent
## Overview
Automated workflow: Dsp agent. This workflow processes data and performs automated tasks.
## Workflow Metadata
- **Total Nodes**: 30
- **Complexity Level**: Complex
- **Estimated Execution Time**: 30+ seconds
- **Error Handling**: ✅ Implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.telegramTrigger`
## Node Types Used
- `n8n-nodes-base.telegram`
- `n8n-nodes-base.airtable`
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.merge`
- `@n8n/n8n-nodes-langchain.openAi`
- `n8n-nodes-base.airtableTool`
- `@n8n/n8n-nodes-langchain.toolWorkflow`
- `@n8n/n8n-nodes-langchain.toolCalculator`
- `n8n-nodes-base.switch`
- `n8n-nodes-base.aggregate`
- `@n8n/n8n-nodes-langchain.lmChatOpenAi`
- `@n8n/n8n-nodes-langchain.lmChatGoogleGemini`
- `@n8n/n8n-nodes-langchain.memoryBufferWindow`
- `@n8n/n8n-nodes-langchain.agent`
- `n8n-nodes-base.set`
- `n8n-nodes-base.telegramTrigger`
- `n8n-nodes-base.stopAndError`
- `@n8n/n8n-nodes-langchain.toolWikipedia`
## Integrations
- Google
## Required Credentials
- `openAiApi`
- `telegramApi`
- `airtableTokenApi`
## Environment Variables
- `WEBHOOK_URL`

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# Deployment Guide: Dsp agent
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **openAiApi**: [Instructions for setting up openAiApi]
- **telegramApi**: [Instructions for setting up telegramApi]
- **airtableTokenApi**: [Instructions for setting up airtableTokenApi]
### 2. Environment Variables
Set these environment variables:
- `WEBHOOK_URL`: [Description of what this variable should contain]
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 30+ seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Dsp agent
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Dsp agent
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- openAiApi
- telegramApi
- airtableTokenApi
2. **Set Environment Variables**: Configure these environment variables:
- `WEBHOOK_URL`
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 30 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.telegramTrigger
2. **Processing**: Data flows through 29 processing nodes
3. **Integration**: Connects with Google
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
✅ This workflow includes error handling nodes
### Performance Tuning
- Monitor execution time: 30+ seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Email Summary Agent
## Overview
Automated workflow: Email Summary Agent. This workflow integrates 6 different services: stickyNote, scheduleTrigger, stopAndError, gmail, aggregate. It contains 10 nodes and follows best practices for error handling and security.
## Workflow Metadata
- **Total Nodes**: 15
- **Complexity Level**: Moderate
- **Estimated Execution Time**: 5-30 seconds
- **Error Handling**: ✅ Implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.scheduleTrigger`
## Node Types Used
- `n8n-nodes-base.stickyNote`
- `@n8n/n8n-nodes-langchain.openAi`
- `n8n-nodes-base.scheduleTrigger`
- `n8n-nodes-base.aggregate`
- `n8n-nodes-base.stopAndError`
- `n8n-nodes-base.gmail`
## Integrations
- No external integrations detected
## Required Credentials
- `openAiApi`
- `gmailOAuth2`
## Environment Variables
- No environment variables required

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# Deployment Guide: Email Summary Agent
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **openAiApi**: [Instructions for setting up openAiApi]
- **gmailOAuth2**: [Instructions for setting up gmailOAuth2]
### 2. Environment Variables
No environment variables required.
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 5-30 seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Email Summary Agent
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Email Summary Agent
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- openAiApi
- gmailOAuth2
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 15 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.scheduleTrigger
2. **Processing**: Data flows through 14 processing nodes
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
✅ This workflow includes error handling nodes
### Performance Tuning
- Monitor execution time: 5-30 seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Telegramtrigger Workflow
## Overview
Automated workflow: Telegramtrigger Workflow. This workflow integrates 7 different services: telegramTrigger, stickyNote, telegram, merge, stopAndError. It contains 15 nodes and follows best practices for error handling and security.
## Workflow Metadata
- **Total Nodes**: 20
- **Complexity Level**: Complex
- **Estimated Execution Time**: 30+ seconds
- **Error Handling**: ✅ Implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.telegramTrigger`
## Node Types Used
- `n8n-nodes-base.telegram`
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.merge`
- `@n8n/n8n-nodes-langchain.openAi`
- `n8n-nodes-base.aggregate`
- `n8n-nodes-base.telegramTrigger`
- `n8n-nodes-base.stopAndError`
## Integrations
- No external integrations detected
## Required Credentials
- `openAiApi`
- `telegramApi`
## Environment Variables
- No environment variables required

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# Deployment Guide: Telegramtrigger Workflow
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **openAiApi**: [Instructions for setting up openAiApi]
- **telegramApi**: [Instructions for setting up telegramApi]
### 2. Environment Variables
No environment variables required.
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 30+ seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Telegramtrigger Workflow
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Telegramtrigger Workflow
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- openAiApi
- telegramApi
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 20 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.telegramTrigger
2. **Processing**: Data flows through 19 processing nodes
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
✅ This workflow includes error handling nodes
### Performance Tuning
- Monitor execution time: 30+ seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Email Summary Agent
## Overview
Automated workflow: Email Summary Agent. This workflow integrates 6 different services: stickyNote, scheduleTrigger, stopAndError, gmail, aggregate. It contains 10 nodes and follows best practices for error handling and security.
## Workflow Metadata
- **Total Nodes**: 15
- **Complexity Level**: Moderate
- **Estimated Execution Time**: 5-30 seconds
- **Error Handling**: ✅ Implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.scheduleTrigger`
## Node Types Used
- `n8n-nodes-base.stickyNote`
- `@n8n/n8n-nodes-langchain.openAi`
- `n8n-nodes-base.scheduleTrigger`
- `n8n-nodes-base.aggregate`
- `n8n-nodes-base.stopAndError`
- `n8n-nodes-base.gmail`
## Integrations
- No external integrations detected
## Required Credentials
- `openAiApi`
- `gmailOAuth2`
## Environment Variables
- No environment variables required

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# Deployment Guide: Email Summary Agent
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **openAiApi**: [Instructions for setting up openAiApi]
- **gmailOAuth2**: [Instructions for setting up gmailOAuth2]
### 2. Environment Variables
No environment variables required.
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 5-30 seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Email Summary Agent
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Email Summary Agent
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- openAiApi
- gmailOAuth2
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 15 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.scheduleTrigger
2. **Processing**: Data flows through 14 processing nodes
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
✅ This workflow includes error handling nodes
### Performance Tuning
- Monitor execution time: 5-30 seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Ahrefs Keyword Research Workflow
## Overview
Automated workflow: Ahrefs Keyword Research Workflow. This workflow integrates 9 different services: stickyNote, httpRequest, code, lmChatGoogleGemini, agent. It contains 18 nodes and follows best practices for error handling and security.
## Workflow Metadata
- **Total Nodes**: 27
- **Complexity Level**: Complex
- **Estimated Execution Time**: 30+ seconds
- **Error Handling**: ✅ Implemented
## Trigger Information
### Trigger Types
- `@n8n/n8n-nodes-langchain.chatTrigger`
## Node Types Used
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.httpRequest`
- `@n8n/n8n-nodes-langchain.chatTrigger`
- `n8n-nodes-base.code`
- `n8n-nodes-base.aggregate`
- `@n8n/n8n-nodes-langchain.lmChatGoogleGemini`
- `@n8n/n8n-nodes-langchain.memoryBufferWindow`
- `@n8n/n8n-nodes-langchain.agent`
- `n8n-nodes-base.stopAndError`
## Integrations
- Google
- Google
## Required Credentials
- `googlePalmApi`
## Environment Variables
- `API_BASE_URL`

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# Deployment Guide: Ahrefs Keyword Research Workflow
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **googlePalmApi**: [Instructions for setting up googlePalmApi]
### 2. Environment Variables
Set these environment variables:
- `API_BASE_URL`: [Description of what this variable should contain]
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 30+ seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Ahrefs Keyword Research Workflow
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Ahrefs Keyword Research Workflow
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- googlePalmApi
2. **Set Environment Variables**: Configure these environment variables:
- `API_BASE_URL`
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 27 nodes with the following execution flow:
1. **Trigger**: Workflow starts with @n8n/n8n-nodes-langchain.chatTrigger
2. **Processing**: Data flows through 26 processing nodes
3. **Integration**: Connects with Google, Google
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
✅ This workflow includes error handling nodes
### Performance Tuning
- Monitor execution time: 30+ seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Chattrigger Workflow
## Overview
Automated workflow: Chattrigger Workflow. This workflow processes data and performs automated tasks.
## Workflow Metadata
- **Total Nodes**: 19
- **Complexity Level**: Complex
- **Estimated Execution Time**: 30+ seconds
- **Error Handling**: ✅ Implemented
## Trigger Information
### Trigger Types
- `@n8n/n8n-nodes-langchain.chatTrigger`
## Node Types Used
- `n8n-nodes-base.airtable`
- `n8n-nodes-base.stickyNote`
- `@n8n/n8n-nodes-langchain.chainLlm`
- `@n8n/n8n-nodes-langchain.chatTrigger`
- `@n8n/n8n-nodes-langchain.outputParserAutofixing`
- `@n8n/n8n-nodes-langchain.lmChatGoogleGemini`
- `@n8n/n8n-nodes-langchain.outputParserStructured`
- `n8n-nodes-base.set`
- `n8n-nodes-base.stopAndError`
## Integrations
- Google
- Google
## Required Credentials
- `googlePalmApi`
- `airtableTokenApi`
## Environment Variables
- `WEBHOOK_URL`

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# Deployment Guide: Chattrigger Workflow
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **googlePalmApi**: [Instructions for setting up googlePalmApi]
- **airtableTokenApi**: [Instructions for setting up airtableTokenApi]
### 2. Environment Variables
Set these environment variables:
- `WEBHOOK_URL`: [Description of what this variable should contain]
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 30+ seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Chattrigger Workflow
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Chattrigger Workflow
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- googlePalmApi
- airtableTokenApi
2. **Set Environment Variables**: Configure these environment variables:
- `WEBHOOK_URL`
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 19 nodes with the following execution flow:
1. **Trigger**: Workflow starts with @n8n/n8n-nodes-langchain.chatTrigger
2. **Processing**: Data flows through 18 processing nodes
3. **Integration**: Connects with Google, Google
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
✅ This workflow includes error handling nodes
### Performance Tuning
- Monitor execution time: 30+ seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Unnamed Workflow
## Overview
Automated workflow for data processing and integration.
## Workflow Metadata
- **Total Nodes**: 4
- **Complexity Level**: Simple
- **Estimated Execution Time**: 1-5 seconds
- **Error Handling**: ❌ Not implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.webhook`
### Webhook Endpoints
- **Path**: `39f1b81f-f538-4b94-8788-29180d5e4016`
- **Method**: `POST`
- **Webhook ID**: `39f1b81f-f538-4b94-8788-29180d5e4016`
## Node Types Used
- `n8n-nodes-base.mindee`
- `n8n-nodes-base.airtable`
- `n8n-nodes-base.webhook`
- `n8n-nodes-base.set`
## Integrations
- No external integrations detected
## Required Credentials
- `mindeeReceiptApi`
- `httpHeaderAuth`
- `airtableApi`
## Environment Variables
- No environment variables required

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# Deployment Guide: Unnamed Workflow
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **mindeeReceiptApi**: [Instructions for setting up mindeeReceiptApi]
- **httpHeaderAuth**: [Instructions for setting up httpHeaderAuth]
- **airtableApi**: [Instructions for setting up airtableApi]
### 2. Environment Variables
No environment variables required.
### 3. Webhook Configuration
Configure webhook endpoints:
- **Path**: `39f1b81f-f538-4b94-8788-29180d5e4016`
- **Method**: `POST`
- **URL**: `https://your-n8n-instance/webhook/39f1b81f-f538-4b94-8788-29180d5e4016`
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 1-5 seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Unnamed Workflow
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Unnamed Workflow
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- mindeeReceiptApi
- httpHeaderAuth
- airtableApi
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 4 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.webhook
2. **Processing**: Data flows through 3 processing nodes
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
⚠️ Consider adding error handling nodes
### Performance Tuning
- Monitor execution time: 1-5 seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Daily Language Learning
## Overview
Automated workflow: Daily Language Learning. This workflow processes data and performs automated tasks.
## Workflow Metadata
- **Total Nodes**: 14
- **Complexity Level**: Moderate
- **Estimated Execution Time**: 5-30 seconds
- **Error Handling**: ❌ Not implemented
## Trigger Information
### Trigger Types
- `n8n-nodes-base.cron`
## Node Types Used
- `n8n-nodes-base.airtable`
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.cron`
- `n8n-nodes-base.function`
- `n8n-nodes-base.vonage`
- `n8n-nodes-base.hackerNews`
- `n8n-nodes-base.set`
- `n8n-nodes-base.lingvaNex`
## Integrations
- No external integrations detected
## Required Credentials
- `vonageApi`
- `lingvaNexApi`
- `airtableApi`
## Environment Variables
- No environment variables required

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# Deployment Guide: Daily Language Learning
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **vonageApi**: [Instructions for setting up vonageApi]
- **lingvaNexApi**: [Instructions for setting up lingvaNexApi]
- **airtableApi**: [Instructions for setting up airtableApi]
### 2. Environment Variables
No environment variables required.
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 5-30 seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

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# Troubleshooting Guide: Daily Language Learning
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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# Usage Guide: Daily Language Learning
## Quick Start
### Prerequisites
1. **Configure Credentials**: Set up the following credentials in n8n:
- vonageApi
- lingvaNexApi
- airtableApi
### Deployment Steps
1. **Import Workflow**
- Copy the workflow JSON into your n8n instance
- Or import directly from the workflow file
2. **Configure Credentials**
- Go to Settings > Credentials
- Add all required credentials as identified above
3. **Set Environment Variables**
- Configure in your n8n environment or `.env` file
- Ensure all variables are properly set
4. **Test Workflow**
- Run the workflow in test mode
- Verify all nodes execute successfully
- Check data flow and transformations
5. **Activate Workflow**
- Enable the workflow for production use
- Monitor execution logs for any issues
## Workflow Flow
This workflow consists of 14 nodes with the following execution flow:
1. **Trigger**: Workflow starts with n8n-nodes-base.cron
2. **Processing**: Data flows through 13 processing nodes
## Configuration Options
### Node Configuration
- Review each node's parameters
- Update any hardcoded values
- Configure retry and timeout settings
### Error Handling
⚠️ Consider adding error handling nodes
### Performance Tuning
- Monitor execution time: 5-30 seconds
- Optimize for your expected data volume
- Consider rate limiting for external APIs
## Troubleshooting
### Common Issues
1. **Credential Errors**: Verify all credentials are properly configured
2. **Environment Variable Issues**: Check that all required variables are set
3. **Node Execution Failures**: Review node logs for specific error messages
4. **Data Format Issues**: Ensure input data matches expected format
### Debug Mode
- Enable debug mode in n8n settings
- Check execution logs for detailed information
- Use test data to verify workflow behavior
## Best Practices
- Regularly monitor workflow execution
- Set up alerts for failures
- Keep credentials secure and rotate regularly
- Test changes in development environment first

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# API Documentation: Airtable Workflow
## Overview
Automated workflow: Airtable Workflow. This workflow processes data and performs automated tasks.
## Workflow Metadata
- **Total Nodes**: 9
- **Complexity Level**: Moderate
- **Estimated Execution Time**: 5-30 seconds
- **Error Handling**: ❌ Not implemented
## Trigger Information
### Trigger Types
- Manual trigger (no automatic triggers configured)
## Node Types Used
- `n8n-nodes-base.stickyNote`
- `n8n-nodes-base.airtable`
- `n8n-nodes-base.lemlist`
## Integrations
- No external integrations detected
## Required Credentials
- `lemlistApi`
- `airtableApi`
## Environment Variables
- No environment variables required

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# Deployment Guide: Airtable Workflow
## Pre-Deployment Checklist
### ✅ Environment Setup
- [ ] n8n instance is running and accessible
- [ ] Required credentials are configured
- [ ] Environment variables are set
- [ ] Network connectivity to external services
### ✅ Workflow Validation
- [ ] Workflow JSON is valid
- [ ] All nodes are properly configured
- [ ] Connections are correctly established
- [ ] Error handling is implemented
### ✅ Security Review
- [ ] No sensitive data in workflow JSON
- [ ] Credentials use secure storage
- [ ] Webhook endpoints are secured
- [ ] Access controls are in place
## Deployment Methods
### Method 1: Direct Import
1. Copy the workflow JSON
2. In n8n, go to Workflows > Import
3. Paste the JSON content
4. Save and configure credentials
### Method 2: File Upload
1. Save workflow as `.json` file
2. Use n8n import functionality
3. Upload the file
4. Review and activate
### Method 3: API Deployment
```bash
# Example using n8n API
curl -X POST "http://your-n8n-instance/api/v1/workflows" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d @workflow.json
```
## Post-Deployment Configuration
### 1. Credential Setup
Configure these credentials in n8n:
- **lemlistApi**: [Instructions for setting up lemlistApi]
- **airtableApi**: [Instructions for setting up airtableApi]
### 2. Environment Variables
No environment variables required.
### 3. Webhook Configuration
No webhook endpoints to configure.
## Testing & Validation
### 1. Test Execution
- Run workflow in test mode
- Verify all nodes execute successfully
- Check data transformations
- Validate output format
### 2. Integration Testing
- Test with real data sources
- Verify external API connections
- Check error handling scenarios
- Monitor performance metrics
### 3. Load Testing
- Test with expected data volume
- Monitor execution time
- Check resource usage
- Verify scalability
## Monitoring & Maintenance
### Monitoring Setup
- Enable execution logging
- Set up performance monitoring
- Configure error alerts
- Monitor webhook usage
### Maintenance Tasks
- Regular credential rotation
- Update API endpoints if needed
- Monitor for deprecated nodes
- Review and optimize performance
### Backup & Recovery
- Export workflow regularly
- Backup credential configurations
- Document custom configurations
- Test recovery procedures
## Production Considerations
### Security
- Use HTTPS for webhook endpoints
- Implement proper authentication
- Regular security audits
- Monitor access logs
### Performance
- Expected execution time: 5-30 seconds
- Monitor resource usage
- Optimize for your data volume
- Consider rate limiting
### Reliability
- Implement retry logic
- Set up monitoring alerts
- Plan for disaster recovery
- Regular health checks

181
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# Troubleshooting Guide: Airtable Workflow
## Common Issues & Solutions
### 1. Workflow Won't Start
#### Issue: No trigger activation
**Symptoms**: Workflow doesn't execute automatically
**Solutions**:
- Check if workflow is active
- Verify trigger configuration
- Test trigger manually
- Check webhook URL accessibility
#### Issue: Credential errors
**Symptoms**: Nodes fail with authentication errors
**Solutions**:
- Verify credentials are properly configured
- Check credential expiration
- Test credentials independently
- Update credential values if needed
### 2. Node Execution Failures
#### Issue: HTTP Request failures
**Symptoms**: HTTP nodes return error codes
**Solutions**:
- Check URL accessibility
- Verify request format
- Check authentication headers
- Review rate limiting
#### Issue: Data format errors
**Symptoms**: Nodes fail with parsing errors
**Solutions**:
- Verify input data format
- Check data transformations
- Validate JSON structure
- Use data validation nodes
#### Issue: API rate limiting
**Symptoms**: External API calls fail with rate limit errors
**Solutions**:
- Implement delay nodes
- Use batch processing
- Check API quotas
- Optimize request frequency
### 3. Performance Issues
#### Issue: Slow execution
**Symptoms**: Workflow takes longer than expected
**Solutions**:
- Monitor node execution times
- Optimize data transformations
- Use parallel processing where possible
- Check external service performance
#### Issue: Memory issues
**Symptoms**: Workflow fails with memory errors
**Solutions**:
- Reduce data volume per execution
- Use pagination for large datasets
- Optimize data structures
- Consider workflow splitting
### 4. Data Flow Issues
#### Issue: Missing data
**Symptoms**: Expected data not available in nodes
**Solutions**:
- Check data source connectivity
- Verify data filtering logic
- Review conditional nodes
- Check data mapping
#### Issue: Incorrect data format
**Symptoms**: Data doesn't match expected format
**Solutions**:
- Add data validation nodes
- Check data transformations
- Verify API response format
- Use data type conversion
## Debugging Techniques
### 1. Enable Debug Mode
- Go to n8n Settings > Logging
- Enable debug mode
- Review detailed execution logs
- Check node-specific error messages
### 2. Test Individual Nodes
- Run nodes in isolation
- Use sample data for testing
- Verify node configurations
- Check input/output formats
### 3. Use Execution History
- Review past executions
- Compare successful vs failed runs
- Check execution data
- Identify patterns in failures
### 4. Monitor External Services
- Check API status pages
- Verify service availability
- Monitor response times
- Check error rates
## Error Codes Reference
### HTTP Status Codes
- **400**: Bad Request - Check request format
- **401**: Unauthorized - Verify credentials
- **403**: Forbidden - Check permissions
- **404**: Not Found - Verify URL/endpoint
- **429**: Too Many Requests - Implement rate limiting
- **500**: Internal Server Error - Check external service
### n8n Specific Errors
- **Credential Error**: Authentication issue
- **Data Error**: Format or validation issue
- **Connection Error**: Network or service unavailable
- **Execution Error**: Node configuration issue
## Prevention Strategies
### 1. Proactive Monitoring
- Set up execution monitoring
- Configure error alerts
- Monitor performance metrics
- Track usage patterns
### 2. Regular Maintenance
- Update credentials regularly
- Review and test workflows
- Monitor for deprecated features
- Keep documentation current
### 3. Testing Procedures
- Test with various data scenarios
- Verify error handling
- Check edge cases
- Validate recovery procedures
### 4. Documentation
- Keep troubleshooting guides updated
- Document known issues
- Record solutions for common problems
- Maintain change logs
## Getting Help
### Self-Help Resources
- n8n Documentation: https://docs.n8n.io
- Community Forum: https://community.n8n.io
- GitHub Issues: https://github.com/n8n-io/n8n/issues
### Support Contacts
- Check your n8n support plan
- Contact system administrator
- Escalate to technical team
- Use vendor support channels
## Emergency Procedures
### Workflow Recovery
1. Disable workflow immediately
2. Check system resources
3. Review error logs
4. Restore from backup if needed
5. Test in isolated environment
6. Re-enable with monitoring
### Data Recovery
1. Check execution history
2. Identify failed executions
3. Re-run with corrected data
4. Verify data integrity
5. Update downstream systems

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