Creating a Telegram bot that integrates with an AI assistant is an exciting project that combines real-time messaging, AI processing, and Golang's powerful concurrency model. In this blog, I'll guide you through the architecture, features, and implementation of a Telegram bot using Golang, with a complete system design to boot!
This project builds a personal AI assistant accessible via two interfaces:
Telegram Bot: A real-time conversational interface.
Console Chat: A terminal-based chatbot for direct interaction.
Key Features:
AI model switching based on user input.
Persistent chat history across sessions.
Interactive bot responses with live editing.
Retry mechanism for robust API handling.
Architecture
The system comprises the following components:
Bot Interface: Handles incoming messages, processes user input, and sends responses.
Assistant Utilities: Contains AI model integration logic.
History Management: Manages conversation history for persistence.
Error Handling: Ensures graceful error recovery.
Flow Diagram
[User] <---> [Telegram API] <---> [Bot API Handler] <---> [AI Processing Logic] ^ | | v [History Management] [Error Handler]
Components
Key Code Walkthrough
func main() { fmt.Println("Choose mode: [1] Telegram Bot, [2] Console Chat") var choice int fmt.Scan(&choice) switch choice { case 1: deploy.TelegramBot() case 2: runConsoleChat() default: fmt.Println("Invalid choice.") } }
func NewTelegramBot() { token := os.Getenv("TELEGRAM_BOT_TOKEN") bot, err := NewBot(token) if err != nil { log.Fatal("Failed to start bot:", err) } bot.Start(context.Background()) }
This method manages user interactions, including history loading and AI response handling.
[User] <---> [Telegram API] <---> [Bot API Handler] <---> [AI Processing Logic] ^ | | v [History Management] [Error Handler]
func main() { fmt.Println("Choose mode: [1] Telegram Bot, [2] Console Chat") var choice int fmt.Scan(&choice) switch choice { case 1: deploy.TelegramBot() case 2: runConsoleChat() default: fmt.Println("Invalid choice.") } }
func NewTelegramBot() { token := os.Getenv("TELEGRAM_BOT_TOKEN") bot, err := NewBot(token) if err != nil { log.Fatal("Failed to start bot:", err) } bot.Start(context.Background()) }
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Conclusion
With this bot, we leverage Golang's concurrency and efficient libraries to build a scalable and interactive AI assistant. The integration with Telegram API ensures a seamless real-time experience for users. Start building yours today and explore the power of AI-driven conversations!
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