🏭 Langflow Factory

Custom Component Library for Langflow - Extending AI Workflow Capabilities

🌟 Overview

Langflow Factory is a comprehensive collection of custom components designed to extend Langflow's capabilities with powerful integrations, data processing tools, and AI-powered generators. Built with production-ready patterns and extensive error handling.

🚀 Features

🔗 API Integrations

• Google Cloud Platform: BigQuery, Cloud Scheduler, Drive integration
• WhatsApp/Evolution API: Complete messaging automation
• Google Sheets: Read, write, and query operations
• Apollo: Organization search capabilities
• Astra DB: Vector database operations

📊 Data Processing

• Enhanced DataFrame Operations: Advanced data manipulation
• File Processing: Multi-format support with encoding detection
• Structured Output: Type-safe data transformation
• Data Validation: Robust input/output validation

🎨 AI Generators

• Image Generation: OpenAI DALL-E, Google Imagen
• Audio Generation: ElevenLabs, OpenAI TTS
• Text Processing: Advanced natural language operations

🛠️ Utilities

• API Request Builder: Dynamic HTTP client with authentication
• Conditional Router: Smart flow control
• Dynamic UI Components: Real-time field updates

📁 Project Structure

langflow-factory/
├── .cursor/                    # Development rules and guidelines
│   ├── index.mdc              # Project-wide Cursor rules
│   └── rules/                 # Context-specific rules
├── components/                # Custom Langflow components
│   ├── api_request/           # HTTP request builders
│   ├── audio_management/      # Audio generation components
│   ├── gcp/                   # Google Cloud integrations
│   ├── google_sheets/         # Sheets API components
│   ├── image_generators/      # Image generation tools
│   └── [other categories]/
└── scripts/                   # Utility scripts

🎯 Getting Started

📋 Templates Available

Ready-to-use Langflow templates are available at: https://github.com/Empreiteiro/langflow-templates

This repository includes 56+ pre-built templates organized by:

• AI Patterns: Agentic RAG, Document Intelligence, Multi-Modal Processing, Structured Output Generation
• Business Functions: Data Analytics, Financial Services, Sales & Marketing Automation, Social & Brand Intelligence, Programming & Developer Productivity

🔧 Component Categories

📡 API & External Services

• api_request_builder.py - Dynamic HTTP request construction
• enchanced_api_request.py - Advanced API client with retry logic
• apollo_organization_search.py - Company data retrieval
• astra_db.py - Vector database operations

☁️ Google Cloud Platform

• cloud_scheduler - Automated job scheduling
• enchanced_big_query.py - BigQuery data operations
• google_drive_uploader.py - File upload automation
• google_sheets/ - Complete Sheets API integration

💬 Communication

• audio_management/ - Voice and audio generation
• whatsapp_evolution.py - WhatsApp automation
• telegram.py - Telegram bot integration

🎥 Multi-Modal Processing

• multi-modal_input.py - Audio, video, and image processing with AI analysis
  • YouTube video download and analysis
  • Audio transcription using OpenAI Whisper
  • Image analysis using GPT-4V
  • Supports direct URLs, YouTube, and Google Drive links

📊 Data Processing

• core_data_operations.py - Advanced data manipulation
• dataFrame_operations - Pandas DataFrame utilities
• enchanced_structured_output.py - Type-safe outputs

📚 Documentation

Component Development Guidelines

• Follow the patterns in .cursor/rules/langflow-components.mdc
• Use proper error handling with self.log()
• Implement input validation
• Return structured Data/Message/DataFrame objects

Flow Development

• Reference .cursor/rules/flow-development.mdc
• Design for reusability and modularity
• Include proper error handling paths

🤝 Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-component)
3. Follow the development guidelines in .cursor/rules/
4. Add tests for new components
5. Commit with descriptive messages
6. Push and create a Pull Request

🔐 Security

• Store API keys securely using Langflow's secret management
• Validate all inputs to prevent injection attacks
• Use HTTPS for external API calls
• Follow the security guidelines in component documentation

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

📞 Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Documentation: Check the .cursor/rules/ directory for development guidelines

---

Made with ❤️ for the Langflow community