πŸ€– Telegram Messaging Agent for Text, Audio, Images

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πŸ€– This n8n workflow creates an intelligent Telegram bot that processes multiple types of messages and provides automated responses using AI capabilities. The bot serves as a personal assistant that can handle text, voice messages, and images through a sophisticated processing pipeline.

Core ComponentsMessage Reception and Validation πŸ“₯
πŸ”„ Implements webhook-based message reception for real-time processing.
πŸ” Features a robust user validation system that verifies sender credentials.
πŸ”€ Supports both testing and production webhook endpoints for development flexibility.

Message Processing Pipeline ⚑
πŸ”„ Uses a smart router to detect and categorize incoming message types.
πŸ“ Processes three main message formats:
πŸ’¬ Text messages
🎀 Voice recordings
πŸ“Έ Images with captions.

AI Integration 🧠
πŸ€– Leverages OpenAI’s GPT-4 for message classification and processing.
πŸ—£οΈ Incorporates voice transcription capabilities for audio messages.
πŸ‘οΈ Features image analysis using GPT-4 Vision API for processing visual content.

Technical ArchitectureWebhook Management πŸ”Œ
🌐 Maintains separate endpoints for testing and production environments.
πŸ“Š Implements automatic webhook status monitoring.
⚑ Provides real-time webhook configuration updates.

Error Handling ⚠️
πŸ” Features comprehensive error detection and reporting.
πŸ”„ Implements fallback mechanisms for unprocessable messages.
πŸ’¬ Provides user feedback for failed operations.

Message Classification System πŸ“‹
🏷️ Categorizes incoming messages into tasks and general conversation.
πŸ”€ Implements separate processing paths for different message types.
🧩 Maintains context awareness across message processing.

Security FeaturesUser Authentication πŸ”’
βœ… Validates user credentials against predefined parameters.
πŸ‘€ Implements first name, last name, and user ID verification.
🚫 Restricts access to authorized users only.

Response SystemIntelligent Responses πŸ’‘
πŸ€– Generates contextual responses based on message classification.

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